Decision method and system for air volume regulation of mine ventilation system

Abstract

The application provides a decision method and system for air volume regulation of a mine ventilation system. The method comprises the following steps: calculating air demand of multiple air use locations in the ventilation system based on a ventilation system on-demand air distribution algorithm; calculating air resistance regulation amount of a regulation air window of the multiple air use locations by means of air volume and air resistance joint calculation according to the calculated air volume; converting air passing area of the regulation air window of the multiple air use locations according to the air resistance of the regulation air window; and regulating the regulation air window of the multiple air use locations according to a generated mine air use location air volume regulation decision flow in combination with the air passing area and the air resistance. The method can realize accurate distribution of air volume of underground roadways under various working conditions, guarantee ventilation demand of underground operation of the mine, and improve safety of underground operation of the mine.

Description

Technical Field

[0001] This application relates to the field of mine ventilation technology, and in particular to a decision-making method and system for regulating the air volume of a mine ventilation system. Background Technology

[0002] Currently, safety in underground mining operations is receiving increasing attention. Among these safety concerns, the mine ventilation system, as one of the eight major systems in mine resource extraction, is crucial to ensuring the safety of underground workers through its design and management. During the operation of the mine ventilation system, air volume, as a key indicator of its stability, needs to be accurately monitored by mine ventilation managers. The core task of mine ventilation is to ensure timely and adequate air supply to all locations requiring ventilation underground.

[0003] In related technologies, when adjusting the air volume at underground ventilation locations, a static air demand calculation method is typically used to obtain the required air volume at a specific moment. This process includes two steps: manual on-site data testing and data processing. The manual on-site data testing primarily involves personnel using handheld monitoring instruments. The data collected includes ventilation environment parameters such as mine wind speed, methane concentration, and carbon dioxide concentration, as well as mine production parameters such as the number of personnel and vehicles. The data processing mainly involves manual input into the calculation system to determine the required air volume at the mine ventilation location at the moment of the on-site data testing.

[0004] However, underground ventilation systems are complex, involving environmental monitoring, air demand calculation, and system regulation—a complex systems engineering project. Furthermore, mine ventilation systems are dynamic, changing with mine conditions and environmental conditions, requiring real-time adjustments. The aforementioned adjustment methods rely on manual on-site testing, which involves numerous test data points and locations, consuming significant time. Calculating and processing this data also takes time. Moreover, ventilation environmental parameters and mine production parameters change between the time of on-site parameter testing and the time of calculation completion. Therefore, the air demand results calculated using current methods for adjusting air demand at mine locations are outdated, failing to reflect the actual air demand at those locations and hindering timely adjustments to address the specific air demand situation. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the first objective of this application is to propose a decision-making method for adjusting the air volume of a mine ventilation system. This method establishes a decision-making process for adjusting the air volume by coupling the quantitative relationship function between the air passage area of ​​the regulating window and the air resistance, and the joint calculation method of the air resistance adjustment amount at multiple air-using locations. The above-mentioned decision-making process for adjusting the air volume at the mine air-using locations and the joint calculation method of air volume and air resistance at multiple air-using locations are then input into the mine ventilation system to realize the functions of air volume safety early warning and air volume adjustment at the air-using locations.

[0007] The second objective of this application is to propose a decision system for regulating the air volume of a mine ventilation system.

[0008] The third objective of this application is to provide a non-transitory computer-readable storage medium.

[0009] To achieve the above objectives, a first aspect of this application provides a decision-making method for adjusting the air volume of a mine ventilation system, the method comprising the following steps:

[0010] Based on the on-demand air distribution algorithm for ventilation systems, the required air volume at multiple air-using locations in the ventilation system is calculated.

[0011] Based on the calculated air volume, the air resistance adjustment amount of the regulating windows at the multiple air-use locations is calculated by combining air volume and air resistance calculation.

[0012] The air passage area of ​​the adjustable windows at the multiple air-use locations is calculated based on the wind resistance of the adjustable windows.

[0013] Based on the airflow area and the air resistance, the regulating windows at the multiple air-using locations are adjusted according to the generated airflow adjustment decision process for the mine air-using locations.

[0014] Optionally, in one embodiment of this application, calculating the required air volume at multiple air-using locations in the ventilation system includes: performing overall calculation of the natural air distribution zone using the loop air volume method, designating the fixed air volume point branch as a surplus branch, and deleting all the surplus branches in the air network diagram; drawing loops in the air network diagram, placing the loops corresponding to the surplus branches after the loops corresponding to the natural air distribution branches; controlling the air volume of the surplus branches to remain unchanged, and solving the air volume of the natural air distribution branches using the on-demand air distribution algorithm of the ventilation system.

[0015] Optionally, in one embodiment of this application, solving the air volume of the natural air distribution branch using the on-demand air distribution algorithm of the ventilation system includes: constructing a mathematical model of the natural air distribution zone as shown below:

[0016]

[0017] Where, p j It is the ventilation power of the j-th branch, Qj It is the air volume of the j-th branch. Q is the contribution of the basic loop airflow of the L fixed airflow point branches to the airflow of the j-th branch. ri c is the air volume of the i-th basic loop. kj R is the coefficient value of the j-th branch in the k-th basic loop. j It is the drag value of the j-th branch, ΔQ ri It is the airflow increment of the i-th basic loop. is the initial value of the iterative airflow of the j-th branch, L is the number of remaining branches, M is the number of loops in the ventilation system, and B is the number of branches in the ventilation system; the mathematical model is solved iteratively using the Scott-Hensley method, and the airflow of other loops besides the remaining branches is calculated after multiple iterations.

[0018] Optionally, in one embodiment of this application, the multiple ventilation locations include: coal mining faces, tunneling faces, standby faces, chambers, and explosion-proof rubber-tired vehicles. The required air volume includes: static air volume and dynamic air volume. After calculating the air volume of multiple ventilation locations in the ventilation system, the method further includes: obtaining the first dynamic air volume required by the multiple coal mining faces, the second dynamic air volume required by the multiple standby coal mining faces, the third dynamic air volume required by the multiple tunneling coal mining faces, the fourth dynamic air volume required by the multiple chambers, and the fifth dynamic air volume required by the multiple explosion-proof rubber-tired vehicles; and combining the dynamic air volume corresponding to each ventilation location with the ventilation air volume coefficient corresponding to the mine to calculate the total dynamic air volume of the mine.

[0019] Optionally, in one embodiment of this application, the wind force at multiple air-using locations further includes: real-time air volume. After calculating the required air volume at multiple air-using locations in the ventilation system, an early warning analysis is performed on the air volume safety of the air-using locations based on the relationship between the three air volumes. The early warning analysis includes: determining a normal state when the real-time air volume at the air-using location is greater than the static required air volume, and the static required air volume is greater than the dynamic required air volume; and issuing a prompt and controlling the static required air volume to be recalculated when the real-time air volume at the air-using location is greater than the dynamic required air volume, and the dynamic required air volume is greater than the static required air volume. The system sets a fixed input; if the dynamic air demand at the air consumption location is greater than the real-time air volume, and the real-time air volume is greater than the static air demand, an alarm is triggered and the static air demand is re-verified; if the dynamic air demand at the air consumption location is greater than the static air demand, and the static air demand is greater than the actual air volume, an alarm is triggered; if the static air demand at the air consumption location is greater than the dynamic air demand, and the dynamic air demand is greater than the real-time air volume, an alarm is triggered; if the static air demand at the air consumption location is greater than the real-time air volume, and the real-time air volume is greater than the dynamic air demand, a prompt is given and the static air demand is re-verified.

[0020] Optionally, in one embodiment of this application, the wind resistance adjustment of the regulating windows at the multiple air-use locations is calculated by a joint calculation of air volume and wind resistance. This includes: designating all branches in the ventilation system containing the air-use locations as the residual branches; using the Scott-Hensley method to solve for the air volume of the basic loops that do not contain branches at the air-use locations; and obtaining the total air volume of the entire air network branches based on the air volumes of the M basic loops; solving the wind pressure balance equations for L basic loops containing the air-use locations; and inverting to calculate the wind resistance values ​​of the L air-use locations. The wind pressure balance equations are represented by the following formula:

[0021]

[0022] Among them, c ij ΔQ is the coefficient value of the j-th branch in the i-th basic loop. ri It is the airflow increment of the i-th basic loop, ΔR j It is the increase in air resistance at the j-th coal mining face. It is the initial value of the air resistance of the j-th coal mining face.

[0023] Optionally, in one embodiment of this application, the method further includes: establishing a main ventilator characteristic curve with air volume, blade angle, and frequency as independent variables, and establishing a main ventilator performance characteristic curve database; constructing a rapid decision-making model for optimal operating condition zone control of the main ventilator, and simultaneously solving the real-time updated mine ventilation resistance characteristic curve function and the air volume-frequency-pressure curve function in the main ventilator performance characteristic curve database using the function intersection operating condition point prediction method to determine the target ventilator performance characteristic curve with the highest efficiency; and adjusting the main ventilator according to the blade angle and frequency corresponding to the target ventilator performance characteristic curve.

[0024] To achieve the above objectives, a second aspect of this application also proposes a decision-making system for regulating the air volume of a basic mine ventilation system, comprising the following modules:

[0025] The first calculation module is used to calculate the required air volume at multiple air-using locations in the ventilation system based on the on-demand air distribution algorithm of the ventilation system.

[0026] The second calculation module is used to calculate the wind resistance adjustment amount of the regulating windows at the multiple air-use locations based on the calculated air volume and by using a combined air volume and wind resistance calculation method.

[0027] The conversion module is used to convert the air passage area of ​​the adjustable windows at the multiple air-use locations based on the wind resistance of the adjustable windows.

[0028] The adjustment module is used to adjust the adjustable windows at the multiple air-use locations by combining the air passage area and the wind resistance.

[0029] Optionally, in one embodiment of this application, the first calculation module is specifically used for: performing overall calculation of the natural wind distribution zone using the loop airflow method, setting the fixed airflow point branch as the residual branch, and deleting all the residual branches in the wind network diagram; drawing loops in the wind network diagram, and placing the loops corresponding to the residual branches after the loops corresponding to the natural wind distribution branches; controlling the airflow of the residual branches to remain unchanged, and solving the airflow of the natural wind distribution branches using the ventilation system on-demand wind distribution algorithm.

[0030] To implement the above embodiments, a third aspect of this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the decision-making method for adjusting the air volume of the mine ventilation system in the above embodiments.

[0031] The technical solution provided by the embodiments of this application brings at least the following beneficial effects: By coupling the quantitative relationship function between the air passage area and wind resistance of the adjustable ventilation window and the joint calculation method of wind resistance adjustment at multiple air-using locations, this application establishes a decision-making process for mine air volume adjustment schemes. The aforementioned decision-making process for mine air volume adjustment schemes and the joint calculation method of air volume and wind resistance at multiple air-using locations are then input into the mine ventilation system to achieve air volume safety early warning and air volume adjustment functions at air-using locations. Furthermore, by using mathematical analysis methods to fit the nonlinear relationship function between the air passage area and wind resistance of the ventilation window, the mine ventilation system analysis and decision-making model can be optimized at any time according to changes in underground mining operations. This improves the analytical capabilities of the intelligent mine ventilation system, realizes intelligent operation of the mine ventilation system and real-time intelligent control of the fans, and is conducive to promoting the engineering application of intelligent mine ventilation systems. Therefore, it is possible to achieve precise allocation of air volume in underground roadways under various working conditions, ensuring the ventilation needs of underground mine operations and improving the safety of underground mine operations.

[0032] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0033] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0034] Figure 1 A flowchart illustrating a decision-making method for adjusting the air volume of a mine ventilation system, as proposed in an embodiment of this application;

[0035] Figure 2 This is a schematic diagram illustrating the hierarchical relationship of various ventilation points in a mine, as proposed in an embodiment of this application.

[0036] Figure 3This is a flowchart illustrating a specific method for calculating the air demand at multiple air-using locations, as proposed in an embodiment of this application.

[0037] Figure 4 A flowchart illustrating a specific method for calculating the air resistance adjustment of adjustable windows at multiple air-use locations based on joint calculation of air volume and air resistance, as proposed in an embodiment of this application.

[0038] Figure 5 A flowchart illustrating a specific decision-making method for adjusting the air volume of a mine ventilation system, as proposed in an embodiment of this application;

[0039] Figure 6 This is a schematic diagram of the structure of a decision system for regulating the air volume of a mine ventilation system proposed in an embodiment of this application. Detailed Implementation

[0040] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0041] The following describes in detail, with reference to the accompanying drawings, a method and system for regulating the air volume of a mine ventilation system proposed in an embodiment of the present invention.

[0042] Figure 1 This is a flowchart illustrating a decision-making method for adjusting the air volume of a mine ventilation system, as proposed in an embodiment of this application. Figure 1 As shown, the method includes the following steps:

[0043] Step S101: Calculate the required air volume at multiple air-using locations in the ventilation system based on the on-demand air distribution algorithm for the ventilation system.

[0044] The ventilation location can refer to any location or equipment in the actual operation of the mine that requires ventilation. The required air volume is the air volume required at each ventilation location under different conditions, and the required air volume can include various types.

[0045] In one embodiment of this application, the locations requiring ventilation include: coal mining faces, tunneling faces, standby faces, chambers, and explosion-proof rubber-tired vehicles; other mining locomotives requiring ventilation may also be included. The required ventilation volume includes: static ventilation volume and dynamic ventilation volume.

[0046] As an example, multiple ventilation locations are determined based on the actual conditions underground in the mine. For example... Figure 2The diagram illustrates the hierarchical relationship of ventilation points in a mine. The mine comprises several return air systems, each including several coal mining faces, several tunneling faces, several standby faces, several chambers, and explosion-proof rubber-wheeled vehicles. Each ventilation point, return air system, and the mine itself has static, dynamic, and real-time air volume requirements. The static air volume requirement at each ventilation point is a fixed or calculated value, while the dynamic and real-time air volume requirements are both real-time calculated values. In this example, based on this hierarchical relationship, when allocating air volume, the total mine air volume can be calculated during the mine ventilation design phase. Furthermore, based on the analysis of a mine ventilation design example, the required air volume for all underground roadways can be analyzed to determine the mine air volume allocation method.

[0047] Specifically, by performing on-demand air distribution calculations on the mine ventilation system, the required air volume at multiple locations within the ventilation system can be calculated. For example, the dynamic required air volume can be calculated in real time.

[0048] To more clearly illustrate the specific implementation process of calculating the required air volume at multiple air-using locations in the ventilation system in this application, a specific on-demand air distribution calculation method is described below in one embodiment of this application. Figure 3 This is a flowchart illustrating a specific method for calculating the required air volume at multiple air-consuming locations, as proposed in an embodiment of this application. Figure 3 As shown, the method includes the following steps:

[0049] Step S301: Perform overall calculation of natural wind distribution zones using the loop air volume method, set fixed air volume point branches as residual branches, and delete all residual branches in the wind network diagram.

[0050] Specifically, the loop air volume method is used to calculate the overall solution of the natural wind distribution area. The fixed air volume point branches for wind distribution as needed are used as the remaining branches to draw loops. That is, all fixed air volume point branches are first deleted from the wind network diagram, and the resulting subgraph is used to calculate the spanning tree.

[0051] Step S302: Draw the loops of the wind network diagram and place the loops corresponding to the remaining branches after the loops corresponding to the natural wind branches.

[0052] The wind network diagram can be a wind flow network image corresponding to the current ventilation system, or it can be a wind network diagram corresponding to the entire mine.

[0053] Specifically, the loops of the wind network diagram are drawn, with the loops corresponding to the fixed airflow points of the demand-based air distribution branches placed last. Let L be the number of fixed airflow point branches of the demand-based air distribution, and the wind network diagram have B branches, N nodes, and M loops. After drawing, the first ML loops have no fixed airflow point branches, and the airflow of each branch is unknown, consisting of naturally distributed airflow branches. The remaining branches only appear in loops where the fixed airflow point branches of the demand-based air distribution are the surplus branches, and the airflow of these branches is entirely determined by the key airflow point branches.

[0054] Step S303: Keep the air volume of the remaining branch constant, and solve the air volume of the natural air distribution branch through the ventilation system on-demand air distribution algorithm.

[0055] Specifically, for the remaining branches, the target air volume is used as the fixed air volume. During the calculation process, the air volume of the fixed air volume branch remains constant, and its air volume increment is always zero. Although the solution equation of the loop air volume method includes all branches, the target air volume of the fixed air volume branch always appears as a constant. The unknown quantity that needs to be solved is only the air volume of the naturally distributed air volume branch.

[0056] When calculating the air volume of naturally distributed airflow branches using the on-demand air distribution algorithm for a ventilation system, one possible implementation is to construct an on-demand air distribution algorithm model for the mine ventilation system. Specifically, the mathematical model of the natural air distribution zone is constructed as shown below:

[0057]

[0058] Where, p j Q is the ventilation power of the j-th branch, in Pa; j It is the air volume of the j-th branch, in meters. 3 / s; It is the contribution of the basic loop airflow of the L fixed airflow point branches to the airflow of the j-th branch, in meters. 3 / s;, Q ri It is the air volume of the i-th basic loop, in meters. 3 / s;c kj R is the coefficient value of the j-th branch in the k-th basic loop. If the k-th basic loop contains the j-th branch, the coefficient value is 1; if the k-th basic loop does not contain the j-th branch, the coefficient value is 0. j It is the drag value of the j-th branch; ΔQ ri It is the airflow increment of the i-th basic loop, in meters. 3 / s; This is the initial value of the iterative airflow for the j-th branch, in meters. 3 / s; L is the number of branches, M is the number of loops in the ventilation system, B is the number of branches in the ventilation system, c ij It is the coefficient value of the j-th branch in the i-th basic loop. If the i-th basic loop contains the j-th branch, the coefficient value is 1; if the i-th basic loop does not contain the j-th branch, the coefficient value is 0.

[0059] It is understandable that the above formula is a nonlinear system of equations with a total of B+ML independent equations. The number of loop air volumes to be solved in the natural wind distribution is equal to B+ML, so the system of equations has a definite solution.

[0060] Furthermore, the above mathematical model is solved iteratively using the Scott-Hensley method, and the air volume of other loops excluding the branch with fixed air volume for demand distribution is calculated through multiple iterations. That is, the Scott-Hensley method is used to iteratively solve the equation system, and the air volume of other loop branches, excluding the branch with fixed air volume for demand distribution, is calculated through multiple iterations, thereby obtaining the air volume of all roadway branches in the ventilation system.

[0061] Therefore, this application enables on-demand air distribution calculation for mine ventilation systems.

[0062] Based on the above embodiments, in order to further ensure the timeliness of mine ventilation demand and improve mine safety, in one embodiment of this application, after calculating the ventilation demand at multiple ventilation locations in the ventilation system, the method further includes:

[0063] Obtain the first dynamic air demand required for multiple coal mining faces, the second dynamic air demand required for multiple standby coal mining faces, the third dynamic air demand required for multiple tunneling coal mining faces, the fourth dynamic air demand required for multiple chambers, and the fifth dynamic air demand required for multiple explosion-proof rubber wheels; then combine the dynamic air demand corresponding to each air-using location with the ventilation air demand coefficient corresponding to the mine to calculate the total dynamic air demand of the mine.

[0064] Specifically, the overall design for calculating the dynamic air demand at ventilation points is carried out. The ventilation locations corresponding to the mine are obtained, and the dynamic air demand corresponding to each type of ventilation location is obtained. Combined with the ventilation demand coefficient corresponding to the mine, the total dynamic air demand of the mine is determined. Thus, based on the dynamic air demand corresponding to each ventilation location of the mine, the total dynamic air demand required by the mine is calculated in real time, ensuring the timeliness of the mine's air demand and improving the safety of the mine.

[0065] Furthermore, based on the calculated dynamic air demand and real-time air volume at the air-using location, an early warning analysis is conducted on the air volume safety of the air-using location to promptly diagnose abnormalities and remind relevant personnel to eliminate them.

[0066] Specifically, in one embodiment of this application, after calculating the required air volume at multiple air-using locations in the ventilation system, an early warning analysis is performed on the air volume safety of the air-using locations based on the relationship between the three types of air volumes.

[0067] Among them, the static air volume required at the air-using location is Q. jt For fixed values, input directly. Static air demand at the ventilation location includes the static air demand of the coal mining face, the static air demand of the standby coal mining face, the static air demand of the tunneling face, the static air demand of the roadway where the local ventilation fan is located, the static air demand of the chamber, the static air demand of the explosion-proof rubber-tired vehicle, the static air demand of the return air shaft, and the total static air demand of the mine. Dynamic air demand Q at the ventilation location. dtThese are real-time calculated values. The dynamic air demand at the ventilation location includes the dynamic air demand of the coal mining face, the standby coal mining face, the face of the tunneling face, the roadway where the local ventilation fan is located, the chamber, the explosion-proof rubber-tired vehicle, the return air shaft, and the total dynamic air demand of the mine. The actual air volume Q at the ventilation location is... sj These are real-time calculated values. Real-time air volume at the ventilation location includes real-time air volume at the coal mining face, real-time air volume at the standby coal mining face, real-time air volume at the tunneling face, real-time air volume in the roadway where the local ventilation fan is located at the tunneling face, real-time air volume in the chamber, real-time air demand in the return air shaft, and the total real-time air volume of the mine.

[0068] Based on the relationship between the three types of air volume mentioned above, the early warning analysis of air volume safety at the air usage point includes:

[0069] If the real-time air volume at the air consumption location is greater than the static air demand, and the static air demand is greater than the dynamic air demand, it is considered a normal state, meaning the air volume at the air consumption location satisfies Q. sj ≥Q jt ≥Q dt If the real-time air volume is greater than the static air volume requirement, and the static air volume is greater than the dynamic air volume requirement, then it is a normal state.

[0070] If the real-time air volume at the air consumption location exceeds the dynamic air demand, and the dynamic air demand exceeds the static air demand, a prompt will be issued and the static air demand will be re-verified and input; that is, the air volume at the air consumption location must meet Q. sj ≥Q dt ≥Q jt If the real-time airflow exceeds the dynamic airflow requirement, and the dynamic airflow requirement exceeds the static airflow requirement, a prompt will be issued. Furthermore, the static airflow requirement needs to be re-verified and input. In this embodiment, the prompt can be made by establishing a wireless connection between the adjustment system and the mobile terminal of a pre-verified and legitimate staff member, and sending a prompt message to the staff member's mobile terminal via wireless communication. The prompt message can be text or voice, such as a text prompt message like "The real-time airflow at the ×× air usage location exceeds the dynamic airflow requirement, and the dynamic airflow requirement exceeds the static airflow requirement. Please adjust the airflow accordingly."

[0071] If the dynamic air demand at the air consumption location exceeds the real-time air volume, and the real-time air volume exceeds the static air demand, an alarm will be triggered and the static air demand will be re-verified; that is, the air volume at the air consumption location must meet Q. dt ≥Q sj ≥Q jtAn alarm is triggered when the dynamic air demand exceeds the real-time air volume, and the real-time air volume exceeds the static air demand. If the real-time air volume is less than the dynamic air demand, and the static air demand needs to be re-verified, the safety production requirements cannot be met. In this embodiment, the alarm can be triggered by an audible and visual alarm device at the location where the abnormal air consumption occurs, or, as in the example above, by sending an alarm message to the mobile terminal of relevant personnel.

[0072] An alarm is triggered when the dynamic air demand at the air consumption location exceeds the static air demand, and the static air demand exceeds the actual air volume; that is, the air volume at the air consumption location meets the requirement Q. dt ≥Q jt ≥Q sj An alarm will be triggered if the dynamic air demand exceeds the static air demand, or if the static air demand exceeds the actual air volume. If the real-time air volume is less than the dynamic air demand, it will fail to meet safety production requirements.

[0073] An alarm is triggered when the static air demand at the air consumption location exceeds the dynamic air demand, and the dynamic air demand exceeds the real-time air volume; that is, the air volume at the air consumption location satisfies Q. jt ≥Q dt ≥Q sj An alarm will be triggered if the static air demand is greater than the dynamic air demand, and the dynamic air demand is greater than the real-time air volume. If the real-time air volume is less than the dynamic air demand, the safety production requirements cannot be met.

[0074] If the static air demand at the air consumption location is greater than the real-time air volume, and the real-time air volume is greater than the dynamic air demand, a prompt will be issued and the static air demand will be re-verified and input; that is, the air volume at the air consumption location must meet Q. jt ≥Q sj ≥Q dt If the static air volume requirement is greater than the real-time air volume, and the real-time air volume is greater than the dynamic air volume requirement, a prompt will be issued. If the real-time air volume is less than the static air volume requirement, but the real-time air volume is greater than the dynamic air volume requirement, the static air volume requirement needs to be re-verified and entered.

[0075] Step S102: Based on the calculated air volume, the air resistance adjustment amount of the regulating windows at multiple air usage locations is calculated by combining air volume and air resistance calculation.

[0076] Specifically, in the decision-making of mine ventilation volume regulation scheme, based on the required ventilation volume calculated in step S101 above, the ventilation resistance regulation amount of the regulating windows at multiple ventilation locations is calculated by constructing a joint solution method for ventilation volume and resistance at multiple ventilation locations.

[0077] To more clearly illustrate the specific implementation process of calculating the wind resistance adjustment amount of the adjustable window in this application, a specific wind resistance adjustment amount calculation method is described below in one embodiment of this application. Figure 4This is a flowchart illustrating a specific method for calculating the air resistance adjustment of adjustable windows at multiple air-using locations based on joint calculation of air volume and air resistance, as proposed in an embodiment of this application. Figure 4 As shown, the method includes the following steps:

[0078] Step S401: All branches in the ventilation system with air usage points are designated as redundant branches. The Scott-Hensley method is used to solve for the air volume of the basic loops that do not include branches with air usage points. The air volume of the entire ventilation network branches is then calculated based on the air volume of the M basic loops.

[0079] Specifically, in this step, all air-using locations within the ventilation network are treated as branches of the ventilation network, and ventilation network loops are delineated. For a ventilation network with M basic loops, assuming the air-using location is L, each of the L basic loops contains only one branch of the air-using location. The remaining ML basic loops do not contain key air-using points. The air volume of the L basic loops containing air-using locations is known. The Scott-Hensley method is used to solve for the air volume of the ML basic loops that do not contain branches of the air-using locations. Based on the air volume of the M basic loops, the air volume of the entire ventilation network branches is obtained, so that the air volume of the entire ventilation network reaches balance.

[0080] Step S402: Solve the set of wind pressure balance equations for L basic loops containing wind-using locations, and inversely calculate the wind resistance values ​​for the L wind-using locations.

[0081] Specifically, step S401 balances the air volume of the entire wind network, but the wind pressure of the L basic loops containing air-using locations is unbalanced. The wind pressure balance equations of the L basic loops containing air-using locations are solved by inversion calculation to obtain the wind resistance values ​​of the L air-using locations, so that the wind pressure of the L basic loops containing air-using locations is balanced, that is, the wind pressure of the entire wind network is also balanced.

[0082] The wind pressure balance equations are expressed by the following formulas:

[0083]

[0084] Among them, c ij ΔQ is the coefficient value of the j-th branch in the i-th basic loop. If the i-th basic loop contains the j-th branch, the coefficient value is 1; if the i-th basic loop does not contain the j-th branch, the coefficient value is 0. ri It is the airflow increment of the i-th basic loop, in meters. 3 / s;ΔR j This is the increase in air resistance at the j-th coal face, in N·s. 2 ·m -8 ; This is the initial air resistance value of the j-th coal face, in N·s. 2 ·m -8The meanings of other parameters in the above formulas can be found in the explanations of the same parameters in the mathematical model of the above embodiments, and will not be repeated here.

[0085] Step S103: Calculate the air passage area of ​​the adjustable windows at multiple air-use locations based on the wind resistance of the adjustable windows.

[0086] The adjustable vent is a window with an adjustable area located above the air damper or air wall, allowing for adjustment of airflow by changing the area of ​​the small window. Therefore, this application can regulate the airflow of the ventilation system by setting a reasonable airflow area for the adjustable vent.

[0087] Specifically, a mathematical model of the air passage area and equivalent wind resistance of the adjustable window is established. Based on the wind resistance calculated in the above embodiment, the air passage area of ​​the adjustable window is converted by the quantitative relationship function between the air passage area and wind resistance.

[0088] As one possible approach, CFD numerical simulation is used to study the adjustment of wind resistance of the wind window under different wind areas. A nonlinear relationship function between the wind window wind area and wind resistance is obtained by fitting the data using mathematical analysis. The nonlinear relationship function between the wind window wind area and wind resistance is the link to achieve quantitative adjustment of mine air volume. The wind resistance calculated in the above embodiment is substituted into the nonlinear relationship function to obtain the converted wind window wind area.

[0089] Step S104: Combining the airflow area and wind resistance, adjust the regulating windows of multiple airflow locations according to the generated mine ventilation location airflow adjustment decision process.

[0090] Specifically, by combining the calculated airflow area and wind resistance, adjustment schemes for regulating windows at multiple ventilation locations are obtained. In this embodiment, a decision-making process for adjusting airflow at mine ventilation locations is constructed. Specifically, the quantitative relationship function between the airflow area and wind resistance of the regulating window and the joint calculation method for wind resistance adjustment at multiple ventilation locations are coupled to establish a decision-making process for mine airflow adjustment schemes. The above-mentioned decision-making process for adjusting airflow at mine ventilation locations and the joint calculation method for airflow and wind resistance at multiple ventilation locations are then programmed into a computer to develop a corresponding calculation program module.

[0091] To further improve the airflow regulation effect of the ventilation system, in one embodiment of this application, the airflow of the ventilator is also regulated. Specifically, a main ventilator characteristic curve is first established with airflow, blade angle, and frequency as independent variables, and a main ventilator performance characteristic curve database is established. That is, the main ventilator performance characteristic curve is measured, a main ventilator characteristic curve with airflow, blade angle, and frequency as independent variables is established, and a main ventilator performance characteristic curve database is established.

[0092] Then, a rapid decision-making model for the optimal operating condition zone control of the main ventilation fan is constructed. By using the function intersection operating condition point prediction method, the function of the real-time updated mine ventilation resistance characteristic curve and the function of the air volume-frequency-pressure curve in the main ventilation fan performance characteristic curve database are solved simultaneously to determine the target fan performance characteristic curve with the highest efficiency.

[0093] Finally, the main ventilation fan is adjusted according to the blade angle and frequency corresponding to the target fan's performance characteristic curve. That is, the blade angle and frequency corresponding to the fan's performance characteristic curve are the optimal operating conditions for controlling the main ventilation fan.

[0094] Therefore, the air volume adjustment decision method for mine ventilation systems proposed in this application is applicable to the measurement and management of air volume in all mine ventilation systems. This method analyzes the required air volume for all underground roadways during the mine ventilation design phase, and monitors the mine ventilation system in real time through the cooperation of control software and electrical control systems. This achieves precise allocation of air volume in underground roadways, meeting the different conditions of different mines and roadways, and ensuring the safe operation of underground mine work. Furthermore, the mine ventilation system proposed in this application can optimize the mine ventilation system analysis and decision model at any time according to changes in underground mining operations, improving the intelligent ventilation system analysis capabilities and realizing intelligent operation of the mine ventilation system with real-time intelligent control of fans.

[0095] In summary, the decision-making method for adjusting the air volume of a mine ventilation system in this application establishes a decision-making process for mine air volume adjustment schemes by coupling the quantitative relationship function between the air passage area and air resistance of the adjustable air windows and the joint calculation method for air resistance adjustment at multiple air-using locations. This process, along with the joint calculation method for air volume and air resistance at multiple air-using locations, is then input into the mine ventilation system to achieve air volume safety early warning and air volume adjustment functions at air-using locations. Furthermore, by using mathematical analysis to fit the nonlinear relationship function between the air passage area and air resistance of the air windows, the analysis and decision-making model of the mine ventilation system can be optimized in real time according to changes in underground mining operations. This improves the analytical capabilities of the intelligent mine ventilation system, enabling intelligent operation of the mine ventilation system and real-time intelligent control of the fans, which is beneficial for promoting the engineering application of intelligent mine ventilation systems. Therefore, this method can achieve precise allocation of air volume in underground roadways under various working conditions, ensuring the ventilation needs of underground mine operations and improving the safety of underground mine operations.

[0096] To more clearly illustrate the implementation process of the decision-making method for adjusting the air volume of a mine ventilation system according to the embodiments of this application, a specific example of a mine air volume adjustment scheme decision-making process will be described in detail below. Figure 5 This is a flowchart illustrating a specific decision-making method for adjusting the airflow of a mine ventilation system, as proposed in an embodiment of this application. Figure 5 As shown, the method includes the following steps:

[0097] Step S501: Air volume needs to be preset for multiple air usage locations.

[0098] Step S502: Calculate the air volume of the entire air network.

[0099] Step S503: Quickly calculate the wind resistance adjustment amount of the windows at multiple wind-using locations.

[0100] Step S504, calculate the mine ventilation resistance.

[0101] Step S505: Quickly calculate the airflow area of ​​the adjustable windows at multiple air-use locations.

[0102] Step S506: Obtain adjustment schemes for multiple ventilation locations and windows.

[0103] This method couples the quantitative relationship function between the air passage area of ​​the regulating window and the wind resistance, and the joint calculation method of the wind resistance adjustment amount of multiple air-using locations. It can also input the above-mentioned decision-making process of the air volume adjustment scheme of the mine air-using locations and the joint calculation method of air volume and wind resistance of multiple air-using locations into the mine ventilation system to realize the function of air volume safety early warning and control at the air-using locations.

[0104] It should be noted that, in this embodiment, the specific implementation of each step can be referred to the description of the above embodiment, and the specific implementation is similar, so it will not be repeated here.

[0105] To achieve the above embodiments, this application also proposes a decision-making system for regulating the air volume of a mine ventilation system. Figure 6 This is a schematic diagram of the structure of a decision-making system for regulating the air volume of a mine ventilation system, as proposed in an embodiment of this application. Figure 6 As shown, the system includes a first calculation module 100, a second calculation module 200, a conversion module 300, and an adjustment module 400.

[0106] The first calculation module 100 is used to calculate the required air volume at multiple air-using locations in the ventilation system based on the on-demand air distribution algorithm of the ventilation system.

[0107] The second calculation module 200 is used to calculate the wind resistance adjustment amount of the regulating windows at multiple air-use locations based on the calculated air volume and through a joint calculation of air volume and wind resistance.

[0108] The conversion module 300 is used to convert the air passage area of ​​the adjustable windows at multiple air-use locations based on the wind resistance of the adjustable windows.

[0109] The adjustment module 400 is used to adjust the regulating windows at multiple air-use locations by combining the airflow area and wind resistance.

[0110] Optionally, in one embodiment of this application, the first calculation module 100 is specifically used for: performing overall calculation of the natural wind distribution area using the loop air volume method, setting the fixed air volume point branch as the residual branch, and deleting all the residual branches in the wind network diagram; drawing loops in the wind network diagram, and placing the loops corresponding to the residual branches after the loops corresponding to the natural wind distribution branches; controlling the air volume of the residual branches to remain unchanged, and solving the air volume of the natural wind distribution branches using the ventilation system on-demand wind distribution algorithm.

[0111] Optionally, in one embodiment of this application, the first calculation module 100 is specifically used to: construct a mathematical model of the natural wind distribution zone as shown below:

[0112]

[0113] Where, p j It is the ventilation power of the j-th branch, Q j It is the air volume of the j-th branch. Q is the contribution of the basic loop airflow of the L fixed airflow point branches to the airflow of the j-th branch. ri c is the air volume of the i-th basic loop. kj R is the coefficient value of the j-th branch in the k-th basic loop. j It is the drag value of the j-th branch, ΔQ ri It is the airflow increment of the i-th basic loop. is the initial value of the iterative airflow of the j-th branch, L is the number of remaining branches, M is the number of loops in the ventilation system, and B is the number of branches in the ventilation system; the mathematical model is solved iteratively using the Scott-Hensley method, and the airflow of other loops besides the remaining branches is calculated after multiple iterations.

[0114] Optionally, in one embodiment of this application, the multiple ventilation locations include: coal mining faces, tunneling faces, standby faces, chambers, and explosion-proof rubber-wheeled vehicles, and the required air volume includes: static air volume and dynamic air volume. The first calculation module 100 is further configured to: obtain the first dynamic air volume required by the multiple coal mining faces, the second dynamic air volume required by the multiple standby coal mining faces, the third dynamic air volume required by the multiple tunneling coal mining faces, the fourth dynamic air volume required by the multiple chambers, and the fifth dynamic air volume required by the multiple explosion-proof rubber-wheeled vehicles; and combine the dynamic air volume corresponding to each ventilation location with the ventilation air volume coefficient corresponding to the mine to calculate the total dynamic air volume of the mine.

[0115] Optionally, in one embodiment of this application, the wind force at multiple wind-using locations further includes: real-time air volume. The first calculation module 100 is also used to: perform early warning analysis on the air volume safety of the air-use location based on the relationship between the three types of air volume, specifically including: determining a normal state when the real-time air volume at the air-use location is greater than the static air volume requirement, and the static air volume requirement is greater than the dynamic air volume requirement; issuing a prompt and controlling the re-verification of the static air volume requirement when the real-time air volume at the air-use location is greater than the dynamic air volume requirement, and the dynamic air volume requirement is greater than the static air volume requirement; issuing an alarm and controlling the re-verification of the static air volume requirement when the dynamic air volume requirement at the air-use location is greater than the real-time air volume requirement, and the real-time air volume requirement is greater than the static air volume requirement; issuing an alarm when the dynamic air volume requirement at the air-use location is greater than the static air volume requirement, and the static air volume requirement is greater than the actual air volume; issuing an alarm when the static air volume requirement at the air-use location is greater than the dynamic air volume requirement, and the dynamic air volume requirement is greater than the real-time air volume requirement; issuing a prompt and controlling the re-verification of the static air volume requirement when the static air volume requirement at the air-use location is greater than the real-time air volume requirement, and the real-time air volume requirement is greater than the dynamic air volume requirement.

[0116] Optionally, in one embodiment of this application, the second calculation module 200 is specifically used for: designating all branches in the ventilation system with air-use locations as redundant branches; using the Scott-Hensley method to solve for the air volume of the basic loops that do not contain branches with air-use locations; and obtaining the total air volume of the entire air network branches based on the air volumes of the M basic loops; solving for the wind pressure balance equations of L basic loops containing air-use locations; and inverting to calculate the wind resistance values ​​of the L air-use locations, wherein the wind pressure balance equations are represented by the following formula:

[0117]

[0118] Among them, c ij ΔQ is the coefficient value of the j-th branch in the i-th basic loop. ri It is the airflow increment of the i-th basic loop, ΔR j It is the increase in air resistance at the j-th coal mining face. It is the initial value of the air resistance of the j-th coal mining face.

[0119] Optionally, in one embodiment of this application, the adjustment module 400 is further configured to: establish a main ventilator characteristic curve with air volume, blade angle, and frequency as independent variables, and establish a main ventilator performance characteristic curve database; construct a rapid decision-making model for the optimal operating condition zone control of the main ventilator, and simultaneously solve the real-time updated mine ventilation resistance characteristic curve function and the air volume-frequency-pressure curve function in the main ventilator performance characteristic curve database using the function intersection operating condition point prediction method to determine the target ventilator performance characteristic curve with the highest efficiency; and adjust the main ventilator according to the blade angle and frequency corresponding to the target ventilator performance characteristic curve.

[0120] It should be noted that the explanation of the aforementioned embodiment of the decision-making method for adjusting the air volume of the mine ventilation system also applies to the system in this embodiment, and will not be repeated here.

[0121] In summary, the mine ventilation system airflow regulation decision-making system of this application embodiment establishes a mine airflow regulation scheme decision-making process by coupling the quantitative relationship function between the airflow area of ​​the regulating window and the air resistance, and the joint calculation method of air resistance regulation at multiple air-using locations. This decision-making process and the joint calculation method of airflow and air resistance at multiple air-using locations are then input into the mine ventilation system to achieve airflow safety early warning and airflow regulation functions at air-using locations. Furthermore, by using mathematical analysis methods to fit the nonlinear relationship function between the airflow area of ​​the regulating window and the air resistance, the mine ventilation system analysis and decision-making model can be optimized in real time according to changes in underground mining operations. This improves the analytical capabilities of the intelligent mine ventilation system, realizes intelligent operation of the mine ventilation system and real-time intelligent control of the fans, and is conducive to promoting the engineering application of intelligent mine ventilation systems. Therefore, this system can achieve precise allocation of airflow in underground roadways under various working conditions, ensuring the ventilation needs of underground mine operations and improving the safety of underground mine operations.

[0122] To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a decision-making method for adjusting the air volume of a mine ventilation system as described in any of the above embodiments.

[0123] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0124] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0125] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0126] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0127] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0128] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0129] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0130] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A decision-making method for adjusting the air volume of a mine ventilation system, characterized in that, Includes the following steps: Based on the on-demand air distribution algorithm for ventilation systems, the required air volume at multiple air-using locations in the ventilation system is calculated. Based on the calculated air volume, the air resistance adjustment amount of the regulating windows at the multiple air-use locations is calculated by combining air volume and air resistance calculation. The air passage area of ​​the adjustable windows at the multiple air-use locations is calculated based on the wind resistance of the adjustable windows. Based on the air passage area and the air resistance, the regulating windows of the multiple air-using locations are adjusted according to the generated air volume adjustment decision process for the mine air-using locations; Establish characteristic curves for the main ventilator with air volume, blade angle, and frequency as independent variables, and establish a database of main ventilator performance characteristic curves; A rapid decision-making model for the optimal operating condition zone control of the main ventilation fan is constructed. By using the function intersection operating condition point prediction method, the function of the real-time updated mine ventilation resistance characteristic curve and the function of the air volume-frequency-pressure curve in the main ventilation fan performance characteristic curve database are solved simultaneously to determine the target fan performance characteristic curve with the highest efficiency. The main ventilator is adjusted according to the blade angle and frequency corresponding to the target fan performance characteristic curve.

2. The decision-making method for airflow regulation according to claim 1, characterized in that, The calculation of air demand at multiple locations in the ventilation system includes: The natural wind distribution zone is calculated as a whole using the loop air volume method. The fixed air volume point branch is set as a residual branch, and all such residual branches are deleted in the wind network diagram. Circle the loops in the wind network diagram, and place the loops corresponding to the remaining branches after the loops corresponding to the natural wind branches; The air volume of the remaining branches is kept constant, and the air volume of the naturally distributed branches is solved by the on-demand air distribution algorithm of the ventilation system.

3. The decision-making method for airflow regulation according to claim 2, characterized in that, The step of solving the air volume of the natural air distribution branch through the on-demand air distribution algorithm of the ventilation system includes: Construct a mathematical model for the natural wind distribution zone as shown below: in, It is the first j Each branch ventilation power, It is the first j Individual branch air volume, yes L The airflow of the basic loop where the fixed airflow point branch is located affects the first j The contribution value of each branch's air volume. It is the first i Basic circuit air volume It is the first j The branch in the k The coefficient values ​​in each basic circuit It is the first j Branch resistance values It is the first i The increase in air volume in a basic loop It is the first j Initial values ​​of iterative airflow for each branch. L This is the remaining quantity. M It refers to the number of loops in the ventilation system. B It refers to the number of branches in the ventilation system; The mathematical model is solved iteratively using the Scott-Hensley method, and the air volume of other loops besides the remaining branch is calculated through multiple iterations.

4. The decision-making method for airflow regulation according to claim 1, characterized in that, The multiple ventilation locations include: coal mining faces, tunneling faces, standby faces, chambers, and explosion-proof rubber-wheeled vehicles. The required air volume includes: static air volume and dynamic air volume. After calculating the air volume required at multiple ventilation locations in the ventilation system, the following is also included: The first dynamic air demand required for multiple coal mining faces, the second dynamic air demand required for multiple standby faces, the third dynamic air demand required for multiple tunneling faces, the fourth dynamic air demand required for multiple chambers, and the fifth dynamic air demand required for multiple explosion-proof rubber-tired vehicles are obtained. The total dynamic air demand of the mine is calculated by combining the dynamic air demand corresponding to each of the aforementioned air-using locations with the ventilation air demand coefficient corresponding to the mine.

5. The decision-making method for airflow regulation according to claim 4, characterized in that, The wind force at the multiple air-using locations also includes: real-time air volume. After calculating the required air volume at the multiple air-using locations in the ventilation system, an early warning analysis is performed on the air volume safety of the air-using locations based on the relationship between the three air volumes. The early warning analysis includes: If the real-time air volume at the air consumption location is greater than the static air demand, and the static air demand is greater than the dynamic air demand, it is determined to be a normal state. If the real-time air volume at the air consumption location is greater than the dynamic air demand, and the dynamic air demand is greater than the static air demand, a prompt will be issued and the static air demand will be re-verified and input. If the dynamic air demand at the air consumption location is greater than the real-time air volume, and the real-time air volume is greater than the static air demand, an alarm will be triggered and the static air demand will be re-verified and input. An alarm will be triggered if the dynamic air demand at the air consumption location is greater than the static air demand, and the static air demand is greater than the actual air volume. An alarm will be triggered if the static air demand at the air consumption location is greater than the dynamic air demand, and the dynamic air demand is greater than the real-time air volume. If the static air demand at the air usage location is greater than the real-time air volume, and the real-time air volume is greater than the dynamic air demand, a prompt will be issued and the static air demand will be re-verified and input.

6. The decision-making method for airflow regulation according to claim 3, characterized in that, The method of calculating the air resistance adjustment of the regulating windows at the multiple air-use locations through joint calculation of air volume and air resistance includes: All branches in the ventilation system containing the air-consuming locations are designated as the surplus branches. The Scott-Hensley method is used to calculate the airflow of the basic loops excluding the air-consuming locations, and based on... M The air volume of each basic loop is used to calculate the air volume of the entire air network branch. Solve L A set of wind pressure balance equations containing the basic loop of the wind-using location is obtained through inversion calculation. L The wind resistance value at each of the aforementioned wind-using locations, wherein the wind pressure balance equations are expressed by the following formula: in, It is the first j The branch in the i The coefficient values ​​in each basic circuit It is the first i The increase in air volume in a basic loop It is the first j Increased air resistance at each coal mining face It is the first j Initial values ​​of air resistance at a coal mining face.

7. A decision-making system for regulating air volume in a mine ventilation system, characterized in that, Includes the following modules: The first calculation module is used to calculate the required air volume at multiple air-using locations in the ventilation system based on the on-demand air distribution algorithm of the ventilation system. The second calculation module is used to calculate the wind resistance adjustment amount of the regulating windows at the multiple air-use locations based on the calculated air volume and by using a combined air volume and wind resistance calculation method. The conversion module is used to convert the air passage area of ​​the adjustable windows at the multiple air-use locations based on the wind resistance of the adjustable windows. An adjustment module is used to adjust the adjustable windows at the multiple air-use locations by combining the air passage area and the wind resistance; The adjustment module is also used to establish the main fan characteristic curve with air volume, blade angle and frequency as independent variables, and to establish a main fan performance characteristic curve database. A rapid decision-making model for the optimal operating condition zone control of the main ventilation fan is constructed. By using the function intersection operating condition point prediction method, the function of the real-time updated mine ventilation resistance characteristic curve and the function of the air volume-frequency-pressure curve in the main ventilation fan performance characteristic curve database are solved simultaneously to determine the target fan performance characteristic curve with the highest efficiency. The main ventilator is adjusted according to the blade angle and frequency corresponding to the target fan performance characteristic curve.

8. The air volume regulation decision system according to claim 7, characterized in that, The first calculation module is specifically used for: The natural wind distribution zone is calculated as a whole using the loop air volume method. The fixed air volume point branch is set as a residual branch, and all such residual branches are deleted in the wind network diagram. Circle the loops in the wind network diagram, and place the loops corresponding to the remaining branches after the loops corresponding to the natural wind branches; The air volume of the remaining branches is kept constant, and the air volume of the naturally distributed branches is solved by the on-demand air distribution algorithm of the ventilation system.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the decision-making method for adjusting the air volume of the mine ventilation system as described in any one of claims 1-6.

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