An automatic control method and system for mine production

By identifying sudden changes in dust concentration through real-time monitoring and curve analysis, and combining this with verification of adjacent nodes, differentiated ventilation rate adjustments were adopted to solve the lag problem in dust control in mines, achieving efficient and energy-saving ventilation management.

CN121386653BActive Publication Date: 2026-07-03锡林郭勒盟山金白音呼布矿业有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
锡林郭勒盟山金白音呼布矿业有限公司
Filing Date
2025-10-28
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing dust control methods in mining production have failed to effectively identify sudden changes in dust concentration and synergistic effects between adjacent areas, resulting in delayed ventilation rate adjustments, dust diffusion, and suboptimal energy consumption.

Method used

By monitoring dust concentration in real time, identifying abrupt changes based on dust concentration change curves, and linking adjacent monitoring nodes for comprehensive verification, the ventilation rate is dynamically optimized by using differentiated ventilation rate formulas for primary and secondary nodes.

Benefits of technology

It achieves precise control of dust concentration, avoids dust diffusion, improves dust control efficiency and reduces energy consumption, achieving a dual optimization effect of safety and energy saving.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application discloses a kind of automation control method and system for mine production, and the application relates to ventilation control technical field, the problem that ventilation rate adjustment is not timely due to not fully considering dust flow in communication area is solved, the basic dynamic control of single node dust is realized by the ventilation rate regulation of real-time dust concentration and fixed coefficient, while avoiding energy waste, guaranteeing mine ventilation effect;Combining dust concentration change curve identifies mutation characteristics, linkage adjacent monitoring node comprehensive check, through the differentiated ventilation rate formula of primary and secondary nodes, the extraction and discharge capacity of high-concentration dust area is specifically strengthened, the dust control lag problem caused by dust diffusion is solved, and the multi-node collaborative dust control efficiency is improved;By continuously monitoring the dust concentration reduction state, the ventilation rate is dynamically adjusted in primary and secondary nodes, the energy consumption is reduced synchronously under the premise of ensuring that the air environment of mine meets the standard, and the dual optimization of safety dust control and energy-saving operation is realized.
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Description

Technical Field

[0001] This invention relates to the field of ventilation control technology, specifically to an automated control method and system for mining production. Background Technology

[0002] In the process of mining and production operations, dust concentration control in mine tunnels is one of the core aspects of ensuring production safety and the health of workers, and belongs to the field of mine safety production automation technology. With the continuous expansion of mining scale and the increasing demand for intelligent production, traditional ventilation and dust removal methods that rely on manual inspection and fixed parameter control are no longer sufficient to meet the requirements of efficient and precise dust control. There is an urgent need to achieve dynamic regulation of dust concentration in mine tunnels through automation technology.

[0003] Currently, the most common dust control methods in mining production are based on triggering the start / stop or speed adjustment of ventilation equipment using a fixed threshold at a single monitoring node. For example, some mines install dust concentration sensors at key locations in the mine tunnels. When the monitored value exceeds a preset threshold, the ventilation equipment in the corresponding area is controlled to operate at a fixed speed; when the concentration is below the threshold, the speed is reduced or the equipment is shut down.

[0004] While such methods achieve preliminary automated control, they have significant limitations: Firstly, they rely solely on real-time concentration or fixed coefficients at a single node for adjustment, failing to establish an analysis mechanism for dust concentration change trends. This makes it impossible to accurately identify sudden concentration changes. When dust concentration in a certain area suddenly increases, the delayed adjustment of ventilation rate can easily lead to dust spreading to adjacent areas, resulting in dust exceeding standards in multiple areas. Secondly, they lack consideration for the collaborative relationship between adjacent monitoring nodes. Even if a sudden concentration change at a single node is detected, the ventilation equipment at that node is only adjusted independently, making it difficult to form a regional collaborative dust control effect. Furthermore, after the dust concentration enters a decreasing phase, the ventilation rate cannot be dynamically adjusted according to the concentration differences between the primary and secondary diffusion areas, maintaining high energy consumption and making it difficult to achieve a balance between dust control effectiveness and energy optimization. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an automated control method and system for mining production, which solves the problem of untimely adjustment of ventilation rate due to insufficient consideration of dust circulation in connected areas.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an automated control method for mining production, comprising the following steps:

[0007] Step 1: Monitor the dust concentration associated with different monitoring nodes in real time, and adjust the ventilation rate associated with the ventilation equipment corresponding to the monitoring nodes in real time based on the real-time dust concentration. The specific method is as follows:

[0008] The dust concentration associated with different monitoring nodes is labeled as F. i-k Where i represents different monitoring nodes and k represents different monitoring times, using: F i-k ×C1=TF i-k Confirm the ventilation rate TF associated with the corresponding ventilation equipment at the corresponding time. i-k It directly controls the ventilation equipment and adjusts the ventilation rate of the corresponding ventilation equipment in real time according to the real-time monitored dust concentration, where C1 is a preset fixed coefficient factor.

[0009] Step 2: Based on the changes in dust concentration within the monitoring nodes, confirm whether there are any abrupt changes within the corresponding monitoring nodes. Simultaneously, based on the confirmed abrupt changes, confirm the monitoring nodes on both sides. Perform a comprehensive verification of the confirmed abrupt changes, and make secondary adjustments to the associated ventilation equipment based on the verification results. The specific method is as follows:

[0010] Based on the real-time dust concentration monitored within each monitoring node, a dust concentration change curve for the corresponding monitoring node is generated in real time. The horizontal axis represents time, and the vertical axis represents dust concentration. From the real-time generated dust concentration change curve, it is confirmed in real time whether there are abrupt changes in subsequent points relative to the previous point.

[0011] The dust concentration associated with the current moment in the dust concentration change curve is generated in real time, and the change characteristics of the dust concentration at the current moment compared with the dust concentration at the previous moment are recorded. The dust concentration associated with the current moment is denoted as F1, and the dust concentration at the previous moment is denoted as F2. The change characteristic = F1-F2. Then, N sets of time are traced back from the previous moment, where N is a preset value. The change characteristics existing in the N sets of time are confirmed in turn. From the confirmed change characteristics, the minimum change characteristic and the maximum change characteristic are confirmed, thereby generating a set of change characteristic intervals. It is confirmed whether the change characteristic associated with the current moment belongs to the change characteristic interval. If it belongs, it is continuously monitored. If it does not belong, it means that there is a sudden change at the current monitoring node. The change characteristic confirmed at the current moment is denoted as the sudden change characteristic, and a sudden change signal is generated.

[0012] Using the generation time of the mutation signal as the reference time, a set of monitoring periods T is confirmed, where T is a preset value. Simultaneously, other monitoring nodes adjacent to the current monitoring node are confirmed to see if there are mutation characteristics in the other monitoring nodes within the monitoring period T. If there are, the other monitoring nodes are recorded as subordinate nodes of the current monitoring node; if there are, no processing is performed.

[0013] The mutation characteristics associated with the current monitoring node and its subordinate nodes are confirmed, and the maximum value is identified. The monitoring node associated with the maximum value is designated as the primary node, and the other monitoring nodes are designated as secondary nodes. The ventilation rates associated with the ventilation equipment of different monitoring nodes are also confirmed.

[0014] The mutation feature associated with the primary node is denoted as TB1, and the mutation feature associated with the secondary node is denoted as TB. q Where q represents different secondary nodes, and q = 1, 2, ..., m, where m represents the total number of secondary nodes. The dust concentration at the previous moment of the primary node is denoted as ND1, and the dust concentration at the previous moment of the secondary node is denoted as ND. q ;

[0015] For other secondary nodes, the following approach is adopted: (ND) q +0.3TB q ) × C1 = TF q Confirm real-time ventilation rate TF q And execute;

[0016] For the master node, the formula is: [ND1+TB1+0.6(TB1+TB2+……+TB m []×C1=TF1 confirms and executes the real-time ventilation rate TF1;

[0017] Step 3: Continuously monitor the dust concentration at the monitoring nodes where the ventilation rate is adjusted twice. When the dust concentration at the corresponding monitoring node is decreasing, synchronously adjust the ventilation rates of multiple related monitoring nodes to fully reduce energy consumption. The specific method is as follows:

[0018] Based on the dust concentration change curve monitored in real time at the monitoring nodes, the change characteristics associated with the generation point are confirmed in real time. If the change characteristic is ≤0, the monitoring node is recorded as a node to be reduced; otherwise, monitoring continues.

[0019] Confirm whether the node to be demoted is the primary node:

[0020] If it is the master node, then the change characteristics associated with other subordinate nodes of the master node are determined synchronously. If there is a subordinate node with a change characteristic > 0, then this subordinate node is marked as a pending node; otherwise, no marking is made, and the change characteristics generated by the pending node in real time are confirmed, and the confirmed change characteristics are recorded as Tz. q The confirmed sets of change characteristics are summed to confirm the total change characteristics. The dust concentration QD1 of the master node at the previous moment and the change characteristics QB1 generated by the master node at the current moment are confirmed simultaneously. The ventilation rate QF1 associated with the master node at the current moment is confirmed by (QD1+QB1+0.3×total change characteristics)×C1=QF1 and executed.

[0021] If the node to be reduced is not the master node, the ventilation rate associated with the corresponding ventilation equipment is determined based on the real-time monitored dust concentration, and then executed.

[0022] Preferably, an automated control system for mining production includes:

[0023] The ventilation rate real-time adjustment terminal monitors the dust concentration associated with different monitoring nodes in real time, and adjusts the ventilation rate associated with the ventilation equipment corresponding to the monitoring nodes in real time based on the real-time monitored dust concentration.

[0024] The secondary adjustment end of the equipment confirms whether there are abrupt changes in the corresponding monitoring node based on the change characteristics of the corresponding dust concentration within the monitoring node. Simultaneously, based on the confirmed abrupt changes, the monitoring nodes on both sides are confirmed, the confirmed abrupt changes are comprehensively verified, and the associated ventilation equipment is adjusted in a secondary manner based on the verification results.

[0025] The synchronous adjustment processing end continuously monitors the dust concentration of the monitoring node that performs secondary adjustment of ventilation rate. When the dust concentration of the corresponding monitoring node is decreasing, the ventilation rate of multiple related monitoring nodes is synchronously adjusted to fully reduce energy consumption.

[0026] This invention provides an automated control method and system for mining production. Compared with the prior art, it has the following advantages:

[0027] This invention achieves basic dynamic control of dust at a single node by adjusting the ventilation rate based on real-time dust concentration and a fixed coefficient in step one, ensuring the ventilation effect of the mine tunnel while avoiding energy waste.

[0028] Step 2 combines the dust concentration change curve to identify abrupt change characteristics, links adjacent monitoring nodes for comprehensive verification, and uses differentiated ventilation rate formulas for primary and secondary nodes to specifically enhance the extraction capacity of high-concentration dust areas, solve the problem of dust control lag caused by dust diffusion, and improve the efficiency of multi-node collaborative dust control.

[0029] Step 3 involves continuously monitoring the dust concentration reduction status and dynamically adjusting the ventilation rate at the main and secondary nodes. This ensures that the air environment in the mine meets the standards while simultaneously reducing energy consumption, thus achieving a dual optimization of safe dust control and energy-saving operation. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] First Embodiment

[0033] Please see Figure 1 This application provides an automated control method for mining production, comprising the following steps:

[0034] Step 1: Monitor the dust concentration associated with different monitoring nodes in real time, and adjust the ventilation rate associated with the ventilation equipment of the monitoring node in real time based on the real-time dust concentration. Specifically, each different monitoring node has different ventilation equipment, and the ventilation equipment associated with the monitoring node is pre-marked. Subsequently, the dust in the designated area of ​​the monitoring node is extracted through the corresponding wind speed adjustment process, and the dust is extracted from the mine tunnel.

[0035] The specific method for real-time adjustment of the ventilation rate associated with the ventilation equipment is as follows:

[0036] The dust concentration associated with different monitoring nodes is labeled as F. i-k Where i represents different monitoring nodes and k represents different monitoring times, using: F i-k ×C1=TF i-k Confirm the ventilation rate TF associated with the corresponding ventilation equipment at the corresponding time. i-k It directly controls the ventilation equipment and adjusts the ventilation rate of the corresponding ventilation equipment in real time according to the real-time dust concentration. C1 is a preset fixed coefficient factor, and its specific value is determined by the operator based on experience.

[0037] Specifically, during the corresponding monitoring process, when the dust concentration associated with the corresponding monitoring node is too high, the corresponding ventilation rate needs to be increased; when the corresponding dust concentration is too low, the corresponding ventilation rate needs to be appropriately reduced, so as to ensure the dust ventilation effect in the mine tunnel.

[0038] Step 2: Based on the changes in dust concentration within the monitoring nodes, confirm whether there are any abrupt changes within the corresponding monitoring nodes. Simultaneously, based on the confirmed abrupt changes, confirm the monitoring nodes on both sides. Perform a comprehensive verification of the confirmed abrupt changes, and make secondary adjustments to the associated ventilation equipment based on the verification results.

[0039] Based on the real-time dust concentration monitored within each monitoring node, a dust concentration change curve for the corresponding monitoring node is generated in real time. The horizontal axis represents time, and the vertical axis represents dust concentration. From the real-time generated dust concentration change curve, it is confirmed in real time whether there are abrupt changes in subsequent points relative to the previous point.

[0040] The dust concentration associated with the current moment in the dust concentration change curve is generated in real time, and the change characteristics of the dust concentration at the current moment compared with the dust concentration at the previous moment are recorded. The dust concentration associated with the current moment is denoted as F1, and the dust concentration at the previous moment is denoted as F2. The change characteristic = F1-F2. Then, N sets of time points are traced back from the previous moment, where N is a preset value, generally taken as 10. The change characteristics existing in the N sets of time points are confirmed in turn. From the confirmed change characteristics, the minimum change characteristic and the maximum change characteristic are confirmed, thereby generating a set of change characteristic intervals. It is confirmed whether the change characteristic associated with the current moment belongs to the change characteristic interval. If it belongs, it is continuously monitored. If it does not belong, it means that there is a sudden change at the current monitoring node. The change characteristic confirmed at the current moment is recorded as the sudden change characteristic, and a sudden change signal is generated.

[0041] Using the time of the mutation signal generation as the reference time, a set of monitoring periods T is confirmed, where T is a preset value, generally 3 minutes. Simultaneously, other monitoring nodes adjacent to the current monitoring node are confirmed to see if there are mutation characteristics in the other monitoring nodes within the monitoring period T. If there are, the other monitoring nodes are recorded as subordinate nodes of the current monitoring node; if there are, no processing is performed.

[0042] The mutation characteristics associated with the current monitoring node and its subordinate nodes are confirmed, and the maximum value is identified. The monitoring node associated with the maximum value is designated as the primary node, and the other monitoring nodes are designated as secondary nodes. The ventilation rates associated with the ventilation equipment of different monitoring nodes are also confirmed.

[0043] The mutation feature associated with the primary node is denoted as TB1, and the mutation feature associated with the secondary node is denoted as TB. q Where q represents different secondary nodes, and q = 1, 2, ..., m, where m represents the total number of secondary nodes. The dust concentration at the previous moment of the primary node is denoted as ND1, and the dust concentration at the previous moment of the secondary node is denoted as ND. q ;

[0044] For other secondary nodes, the following approach is adopted: (ND) q +0.3TB q ) × C1 = TF q Confirm real-time ventilation rate TF q And execute;

[0045] For the master node, the formula is: [ND1+TB1+0.6(TB1+TB2+……+TB m []×C1=TF1 confirms and executes the real-time ventilation rate TF1;

[0046] Specifically, when a significant change occurs in the dust concentration monitored by a certain monitoring node, the generated dust may flow to other monitoring nodes due to untimely ventilation extraction. Increasing the ventilation rate associated with other monitoring nodes is not as effective as maximizing the ventilation rate of the monitoring node. Therefore, based on the actual monitoring and analysis process, the abrupt change characteristics associated with multiple monitoring nodes are comprehensively verified. Based on the specific verification process, the ventilation rate associated with each monitoring node is determined, thereby enabling real-time control of the ventilation rate associated with the mine tunnel and ensuring the air quality inside the mine tunnel in real time.

[0047] Step 3: Continuously monitor the dust concentration at the monitoring nodes where the ventilation rate is adjusted for the second time. When the dust concentration at the corresponding monitoring node is decreasing, adjust the ventilation rate of multiple related monitoring nodes synchronously to fully reduce energy consumption. This part is equivalent to the third adjustment process.

[0048] The specific method for synchronously adjusting the ventilation rates of multiple monitoring nodes is as follows:

[0049] Based on the dust concentration change curve monitored in real time by the monitoring nodes, the change characteristics associated with the generation point (dust concentration at the point compared to the previous moment) are confirmed in real time. If the change characteristic is ≤0, the monitoring node is recorded as a node to be reduced; otherwise, monitoring continues.

[0050] Confirm whether the node to be demoted is the primary node:

[0051] If it is not the master node, the ventilation rate associated with the corresponding ventilation equipment is determined based on the real-time dust concentration, and then executed (using the same confirmation method as step one).

[0052] If it is the master node, then the change characteristics associated with other subordinate nodes of the master node are determined synchronously. If there is a subordinate node with a change characteristic > 0, then this subordinate node is marked as a pending node; otherwise, no marking is made, and the change characteristics generated by the pending node in real time are confirmed, and the confirmed change characteristics are recorded as Tz. q The confirmed sets of change characteristics are summed to confirm the total change characteristics. The dust concentration QD1 of the master node at the previous moment and the change characteristics QB1 generated by the master node at the current moment are confirmed simultaneously. The ventilation rate QF1 associated with the master node at the current moment is confirmed by (QD1+QB1+0.3×total change characteristics)×C1=QF1 and executed.

[0053] Specifically, during the dust diffusion process, if the concentration at the main node decreases but the concentration at other surrounding nodes still increases, it means that the diffusion area still exists. In this case, the corresponding dust sharing process needs to be executed to ensure that the corresponding main node can effectively extract dust from the air to protect the air environment in the mine.

[0054] Second Embodiment

[0055] An automated control system for mining production includes:

[0056] The ventilation rate real-time adjustment terminal monitors the dust concentration associated with different monitoring nodes in real time, and adjusts the ventilation rate associated with the ventilation equipment corresponding to the monitoring nodes in real time based on the real-time monitored dust concentration.

[0057] The secondary adjustment end of the equipment confirms whether there are abrupt changes in the corresponding monitoring node based on the change characteristics of the corresponding dust concentration within the monitoring node. Simultaneously, based on the confirmed abrupt changes, the monitoring nodes on both sides are confirmed, the confirmed abrupt changes are comprehensively verified, and the associated ventilation equipment is adjusted in a secondary manner based on the verification results.

[0058] The synchronous adjustment processing end continuously monitors the dust concentration of the monitoring node that performs secondary adjustment of ventilation rate. When the dust concentration of the corresponding monitoring node is decreasing, the ventilation rate of multiple related monitoring nodes is synchronously adjusted to fully reduce energy consumption.

[0059] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0060] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An automated control method for mining production, characterized in that, Includes the following steps: Step 1: Monitor the dust concentration associated with different monitoring nodes in real time, and adjust the ventilation rate associated with the ventilation equipment corresponding to the monitoring nodes in real time based on the real-time dust concentration. Step 2: Based on the change characteristics of the corresponding dust concentration within the monitoring node, confirm whether there are any abrupt changes within the corresponding monitoring node. Simultaneously, based on the confirmed abrupt changes, confirm the monitoring nodes on both sides. Perform a comprehensive verification of the confirmed abrupt changes and make secondary adjustments to the associated ventilation equipment based on the verification results. The specific method for making secondary adjustments to the associated ventilation equipment based on the verification results is as follows: Using the generation time of the mutation signal as the reference time, a set of monitoring periods T is confirmed, where T is a preset value. Simultaneously, other monitoring nodes adjacent to the current monitoring node are confirmed to determine whether there are mutation characteristics in the other monitoring nodes within the monitoring period T. If so, the other monitoring nodes are recorded as subordinate nodes of the current monitoring node. The mutation characteristics associated with the current monitoring node and its subordinate nodes are confirmed, and the maximum value is identified. The monitoring node associated with the maximum value is designated as the primary node, and the other monitoring nodes are designated as secondary nodes. The ventilation rates associated with the ventilation equipment of different monitoring nodes are also confirmed. The mutation feature associated with the primary node is denoted as TB1, and the mutation feature associated with the secondary node is denoted as TB. q Where q represents different secondary nodes, and q = 1, 2, ..., m, where m represents the total number of secondary nodes. The dust concentration at the previous moment of the primary node is denoted as ND1, and the dust concentration at the previous moment of the secondary node is denoted as ND. q ; For other secondary nodes, the following approach is adopted: (ND) q +0.3TB q ) × C1 = TF q Confirm real-time ventilation rate TF q And execute; For the master node, the formula is: [ND1+TB1+0.6(TB1+TB2+……+TB m []×C1=TF1 confirms and executes the real-time ventilation rate TF1; Step 3: Continuously monitor the dust concentration at the monitoring nodes where the ventilation rate is adjusted for the second time. When the dust concentration at the corresponding monitoring node is decreasing, adjust the ventilation rate of multiple related monitoring nodes synchronously to fully reduce energy consumption.

2. The automated control method for mining production according to claim 1, characterized in that, In step one, the specific method for real-time adjustment of the ventilation rate associated with the ventilation equipment is as follows: The dust concentration associated with different monitoring nodes is labeled as F. i-k Where i represents different monitoring nodes and k represents different monitoring times, using: F i-k ×C1=TF i-k Confirm the ventilation rate TF associated with the corresponding ventilation equipment at the corresponding time. i-k It directly controls the ventilation equipment and adjusts the ventilation rate of the corresponding ventilation equipment in real time according to the real-time dust concentration, where C1 is a preset fixed coefficient factor.

3. The automated control method for mining production according to claim 1, characterized in that, In step two, the specific method for confirming whether the monitoring node has mutation characteristics is as follows: Based on the real-time dust concentration monitored within each monitoring node, a dust concentration change curve for the corresponding monitoring node is generated in real time. The horizontal axis represents time, and the vertical axis represents dust concentration. From the real-time generated dust concentration change curve, it is confirmed in real time whether there are abrupt changes in subsequent points relative to the previous point. The dust concentration associated with the current moment in the dust concentration change curve is generated in real time, and the change characteristics of the dust concentration at the current moment compared with the dust concentration at the previous moment are recorded. The dust concentration associated with the current moment is denoted as F1, and the dust concentration at the previous moment is denoted as F2. The change characteristic = F1-F2. Then, tracing back N time points from the previous moment, where N is a preset value, the change characteristics existing in the N time points are confirmed in turn. From the confirmed change characteristics, the minimum change characteristic and the maximum change characteristic are confirmed, thereby generating a set of change characteristic intervals. It is confirmed whether the change characteristic associated with the current moment belongs to the change characteristic interval. If it does, monitoring continues. If it does not belong, it means that there is a sudden change at the current monitoring node. The change characteristic confirmed at the current moment is recorded as the sudden change characteristic, and a sudden change signal is generated.

4. The automated control method for mining production according to claim 1, characterized in that, In step two, if other monitoring nodes do not exhibit any mutation characteristics within the monitoring period T, no action is taken.

5. The automated control method for mining production according to claim 1, characterized in that, In step three, the specific method for synchronously adjusting the ventilation rates of multiple monitoring nodes is as follows: Based on the dust concentration change curve monitored in real time at the monitoring nodes, the change characteristics associated with the generation point are confirmed in real time. If the change characteristic is ≤0, the monitoring node is recorded as a node to be reduced; otherwise, monitoring continues. Confirm whether the node to be demoted is the primary node: If it is the master node, then the change characteristics associated with other subordinate nodes of the master node are determined synchronously. If there is a subordinate node with a change characteristic > 0, then this subordinate node is marked as a pending node; otherwise, no marking is made, and the change characteristics generated by the pending node in real time are confirmed, and the confirmed change characteristics are recorded as Tz. q The confirmed sets of change characteristics are summed to confirm the total change characteristics. The dust concentration QD1 of the master node at the previous moment and the change characteristics QB1 generated by the master node at the current moment are confirmed simultaneously. The ventilation rate QF1 associated with the master node at the current moment is confirmed by using (QD1+QB1+0.3×total change characteristics)×C1=QF1 and then executed.

6. The automated control method for mining production according to claim 5, characterized in that, If the node to be reduced is not the master node, the ventilation rate associated with the corresponding ventilation equipment is determined based on the real-time monitored dust concentration, and then executed.

7. An automated control system for mining production, the system operating according to any one of claims 1-6 of an automated control method for mining production, characterized in that, include: The ventilation rate real-time adjustment terminal monitors the dust concentration associated with different monitoring nodes in real time, and adjusts the ventilation rate associated with the ventilation equipment corresponding to the monitoring nodes in real time based on the real-time monitored dust concentration. The secondary adjustment end of the equipment confirms whether there are abrupt changes in the corresponding monitoring node based on the change characteristics of the corresponding dust concentration within the monitoring node. Simultaneously, based on the confirmed abrupt changes, the monitoring nodes on both sides are confirmed, the confirmed abrupt changes are comprehensively verified, and the associated ventilation equipment is adjusted in a secondary manner based on the verification results. The synchronous adjustment processing end continuously monitors the dust concentration of the monitoring node that performs secondary adjustment of ventilation rate. When the dust concentration of the corresponding monitoring node is decreasing, the ventilation rate of multiple related monitoring nodes is synchronously adjusted to fully reduce energy consumption.