Disaster area state analysis method for mine ventilation system damaged by thermal dynamic disasters

Abstract

The invention relates to a disaster area state analysis method for a mine ventilation system damaged by thermal dynamic disasters, and belongs to the technical field of mine safety and disaster emergency rescue. A catastrophe analysis reference library is established in the normal production period of a mine and comprises the reference air volume and the reference static pressure of a main ventilator under the rated working condition and the topological structure and ventilation resistance parameters of a mine ventilation network. After a disaster occurs, real-time operation parameters of the main ventilator are obtained and compared with the reference parameters before the disaster, and the variable quantity of the air volume and the static pressure is calculated. And based on the relationship between the variable quantity and the anomaly judgment threshold, performing preliminary diagnosis on the damage type suffered by the mine ventilation system. Underground safety monitoring system data and local detection information are introduced, a preliminary diagnosis result is verified and corrected, after-disaster main ventilator operation parameters are used as overall constraint conditions, a ventilation system damage scene is resolved and analyzed, the damage state of the underground ventilation system is determined, and the safety of the underground ventilation system is ensured. And an enforceable technical means is provided for studying and judging the state of the mine disaster area.

Description

Technical Field

[0001] This invention relates to the field of mine safety and disaster emergency rescue technology, specifically to an analytical method for quickly and accurately assessing the extent of damage to the ventilation system and the state of the underground disaster area after a thermal disaster such as a mine fire, gas explosion, or coal dust explosion. Background Technology

[0002] Mine thermal disasters, such as fires, gas explosions, or coal dust explosions, are characterized by their suddenness, rapid development, and wide range of impact. These disasters release large amounts of energy in a short period, directly causing casualties and equipment damage. The resulting fire pressure and blast shockwaves also significantly disrupt or even destroy the mine's ventilation system. Damage to the ventilation system often manifests as abrupt changes in the resistance characteristics of the ventilation network, abnormal operation of ventilation facilities (including main fans, underground air doors, and sealed walls), leading to uncontrolled airflow direction and volume distribution within the tunnels. This can easily cause airflow reversal, accumulation of toxic and harmful gases, and expansion of the disaster area, seriously threatening the lives of underground personnel and significantly increasing the difficulty and risk of emergency rescue.

[0003] In existing technologies, the assessment of the post-disaster status of mine ventilation systems mainly relies on manual inspections, local sensor alarm information, or the engineering experience of command personnel. There is a lack of a technical method capable of systematically analyzing and comprehensively assessing the overall operational status of the ventilation system after a disaster. Especially in the early stages of a disaster, due to low visibility and harsh underground conditions, rescue personnel often struggle to access the disaster area in a timely manner to obtain information on the on-site ventilation status, making it difficult to accurately grasp the specific forms of damage and the scope of impact on the underground ventilation system. In this situation, although the surface can obtain real-time data on changes in the operating parameters of the main ventilation fans, such as abnormal fluctuations in air volume and pressure, existing technologies cannot establish a clear and effective correspondence between these macroscopic operating parameter changes and specific damage scenarios that may occur in the underground ventilation network, such as roadway blockage, damage to ventilation facilities, or the effects of fire and air pressure. This limits the accurate assessment of the post-disaster ventilation system status.

[0004] Due to the lack of systematic analytical methods, the aforementioned judgment process often exhibits significant uncertainty and lag, easily leading to deviations in the selection of ventilation control measures and rescue routes during disaster relief. It may even trigger secondary disasters due to blind adjustments to the ventilation system. Against this backdrop, there is a need for a method that can comprehensively utilize the operating parameters of major surface ventilation fans, underground sensor monitoring information, and integrate ventilation network models to analyze and infer the operational status of mine ventilation systems damaged by thermodynamic disasters under post-disaster conditions. This method would enable rapid diagnosis of the post-disaster ventilation system status and assessment of the disaster area's situation, providing reliable technical support for scientific, safe, and efficient emergency rescue. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters, comprising the following steps: S1: During normal mine production, the operating status data of the mine ventilation system is measured and recorded, and the data is updated when the operating status of the ventilation system changes, so as to construct a disaster analysis benchmark library for post-disaster ventilation system status analysis. The disaster analysis benchmark library includes at least the benchmark air volume Q0 and benchmark static pressure H0 of the main ventilation fan under rated operating conditions, as well as the topology and ventilation resistance parameters of the mine ventilation network. S2: After a thermal disaster occurs in the mine, the real-time operating status information of the main ventilation fans on the ground is obtained through the main ventilation fan monitoring system, and the air volume Q1 and static pressure H1 of the main ventilation fans after the disaster are obtained; S3: Compare the air volume Q1 and static pressure H1 of the main ventilation fan after the disaster with the pre-disaster baseline operating parameters air volume Q0 and static pressure H0, and calculate the change in the main ventilation fan operating parameters ΔQ=Q1. Q0, ΔH=H1 H0; S4: Based on the changing directions of ΔQ and ΔH and their relationship with the anomaly determination threshold, a preliminary diagnosis is made of the type of macroscopic damage suffered by the mine ventilation system, wherein: When ΔH is positive and exceeds the corresponding anomaly detection threshold, and ΔQ is negative and exceeds the corresponding anomaly detection threshold, the ventilation system is determined to be in the destructive mode of increased total air resistance. When ΔH is negative and exceeds the corresponding anomaly detection threshold, and ΔQ is positive and exceeds the corresponding anomaly detection threshold, the ventilation system is determined to be in the destructive mode of reduced total air resistance. When the changes in ΔQ and ΔH do not exceed the anomaly judgment threshold, or do not meet the judgment conditions of the above-mentioned damage mode, the ventilation system is judged to be in a combined or local disturbance damage mode. S5: Introduce data from the underground safety monitoring system and local detection information to verify and correct the preliminary diagnosis results, and call the ventilation network solution model. Use the air volume Q1 and static pressure H1 of the main ventilation fan after the disaster as the overall constraints for the ventilation network solution. Set the failure scenario corresponding to the failure mode in the ventilation network solution model for solution analysis to determine the failure state of the underground ventilation system. S6: Based on the above analysis results, output the comprehensive assessment results of the ventilation system status in the disaster area.

[0006] Furthermore, the disaster analysis benchmark library also includes individual performance curves of the main ventilation fans, which are used to characterize the correspondence between air volume and static pressure of the main ventilation fans under different operating conditions.

[0007] Furthermore, the topology and ventilation resistance parameters of the mine ventilation network include the air volume, air pressure, and ventilation resistance values ​​of the intake airway, return airway, and air usage locations under normal production conditions.

[0008] Furthermore, step S2 also includes inspecting the operating status of the main ventilator itself. The inspection includes monitoring the vibration, noise, or operating point trajectory of the main ventilator to determine whether the main ventilator has experienced structural or operational abnormalities due to the impact of the disaster.

[0009] Furthermore, in step S3, ΔQ and ΔH are calculated by selecting the values ​​of the main ventilation fan operating parameters after the disaster when the fluctuations tend to stabilize.

[0010] Furthermore, the anomaly determination threshold is determined based on the statistical results of long-term operation data of the main ventilation fans before the disaster, and is used to distinguish between normal fluctuations in the operating parameters of the main ventilation fans and abnormal changes caused by the disaster.

[0011] Furthermore, in step S5, the downhole safety monitoring system data includes gas concentration, smoke, and temperature monitoring data at the return air wellhead, main return airway, or mining area return airway.

[0012] Furthermore, in step S5, the ventilation network solution model uses the air volume Q1 and static pressure H1 of the main ventilation fan after the disaster as the overall constraint conditions, and sets the damage scenario corresponding to the damage mode in the ventilation network solution model for solution analysis.

[0013] Furthermore, the comprehensive assessment results of the ventilation system status in the disaster area include at least the assessment results of the main ventilation fan operation status, the description results of the macroscopic damage status of the ventilation network, the classification results of the underground airflow status, and the analysis results of the potential risks of the ventilation system.

[0014] This invention provides a method for analyzing the state of mine ventilation systems damaged by thermodynamic disasters. By constructing a pre-disaster baseline database of the ventilation system, obtaining the operating parameters of major ventilation fans after the disaster, establishing damage mode determination rules based on parameter change characteristics, and combining underground safety monitoring data with a ventilation network solution model, a systematic analysis of the state of the mine ventilation system after a disaster is achieved. Compared with existing technologies, this invention has at least the following beneficial effects: (1) Improve the systematicness and consistency of post-disaster ventilation system status analysis. This invention establishes the judgment of post-disaster ventilation system status on the basis of quantitative parameter changes by comparing and analyzing pre-disaster baseline parameters with post-disaster measured parameters, avoiding reliance on human experience or single monitoring information for judgment, thereby improving the consistency of analysis results under different personnel and different disaster conditions.

[0015] (2) It can quickly obtain the macroscopic damage characteristics of the ventilation system in the early stage of a disaster. The present invention utilizes the main ventilation fan air volume and static pressure parameters that can be obtained immediately after a disaster, and judges the total wind resistance change characteristics of the ventilation system based on the direction of parameter change and its relationship with the anomaly judgment threshold, so that preliminary judgment results can be quickly formed even when underground information is limited.

[0016] (3) Enhance the accuracy and reliability of disaster area status assessment results. This invention introduces data from the underground safety monitoring system and local detection information to verify and correct the preliminary diagnostic results obtained based on the main ventilation fan parameters. It also analyzes different damage scenarios through a ventilation network solution model, so that the assessment results can simultaneously meet the matching requirements of parameter change characteristics and network solution results, thereby reducing the risk of misjudgment.

[0017] (4) Improve the feasibility and repeatability of ventilation system damage analysis. This invention decomposes the post-disaster ventilation system status analysis process into clear technical steps such as data acquisition, parameter calculation, mode determination and model verification, so that the method can be repeatedly implemented under different mine conditions and provides a stable technical basis for ventilation system status analysis in disaster areas.

[0018] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0019] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein: Figure 1 This is a flowchart of a method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters, according to the present invention. Detailed Implementation

[0020] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0021] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual pictures. They should not be construed as limiting the invention. To better illustrate the embodiments of the invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0022] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "front," and "rear" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0023] The technical problem this invention aims to solve is that, after a thermal disaster occurs in a mine, due to the harsh underground environment and the difficulty for personnel to enter the disaster area, existing technologies cannot effectively analyze the damage status of the underground ventilation system based solely on ground monitoring information.

[0024] Specifically, existing technologies make it difficult to establish a clear correlation between abnormal changes in the operating parameters of the main surface ventilation fans and potential damage such as roadway blockage, ventilation facility damage, or fire-induced pressure in the underground ventilation network, thus affecting the rapid assessment of the disaster area's condition.

[0025] To address the aforementioned problems, this invention provides a method for analyzing the state of a mine ventilation system after a disaster. By establishing an analysis chain of "changes in the operating parameters of the main surface ventilation fans—diagnosis of the damage mode of the underground ventilation system—verification of the ventilation network calculation," the method enables the inference of the damage state of the underground ventilation system and the situation in the disaster area based on changes in the parameters of the main surface fans.

[0026] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: Please see Figure 1 This is a flowchart of a method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters, according to the present invention. The method includes the following steps: S1: Establishment and Maintenance of Pre-Disaster Baseline Database During normal mine production, the operational status data of the mine ventilation system is measured and recorded, and the data is updated when the operational status of the ventilation system changes, in order to construct a disaster analysis benchmark library for post-disaster ventilation system status analysis.

[0027] This disaster analysis benchmark library includes at least: Individual performance curves of the main ventilation fan, and its stable operating parameters under rated operating conditions, including at least air volume Q0 and static pressure H0, and may also include power, current, vibration, noise and operating point trajectory, for comparative analysis with the real-time operating parameters of the main ventilation fan after the disaster; The underground ventilation network topology, and the normal air volume, air pressure, and resistance values ​​of each major node (such as air inlet, air usage point, and return air outlet) and branch (roadway); The topology of the underground ventilation network, as well as the air volume, air pressure and ventilation resistance values ​​of each major node (such as air inlet, air outlet, and return air outlet) and branch (roadway) under normal mine production conditions, are used as a reference benchmark for changes in the ventilation network status after a disaster. The location of key ventilation facilities (air dampers, air bridges, airtight walls, and regulating windows) in the ventilation network and their ventilation resistance characteristics under normal conditions are used to determine whether the ventilation facilities have been damaged or the ventilation status is abnormal in post-disaster analysis. A digital model for solving mine ventilation networks, calibrated based on measured data and incorporating the topology and wind resistance characteristics of the ventilation network, is used to calculate and verify ventilation system failure scenarios during post-disaster analysis.

[0028] S2: Rapid Acquisition and Characterization of Main Ventilation Fan Status After Disaster After a thermal disaster occurs in the mine, the emergency monitoring procedure is immediately activated. The real-time operating status information (air volume, static pressure, vibration, noise, operating point trajectory, etc.) of the main ventilation fans on the ground is obtained through the existing main ventilation fan monitoring system for post-disaster ventilation system status analysis.

[0029] S2.1: Inspection of the main ventilation fan's own operating status The operating status of the main ground ventilation fans is inspected to determine whether the main ventilation fan body has suffered structural or operational abnormalities due to the impact of the disaster.

[0030] Specifically, this includes: checking the main fan body, blades, and transmission components for observable impact structural damage (such as deformation or breakage); checking whether the explosion-proof cover has been opened or deformed; monitoring the vibration and noise levels of the main fan during operation for any abnormalities; and, based on the operating point trajectory of the main fan, determining whether it has entered the unstable operating region of the axial flow fan. The presence of severe vibration signals may cause structural impact damage; abnormal noise may cause blade deformation or stall; and the operating point trajectory entering the "hump zone" of the axial flow fan may cause extremely unstable fan operation, resulting in surge.

[0031] S2.2: Acquisition of key operating parameters for main ventilation fans The real-time operating parameters of the main ventilation fans were obtained, and the air volume Q1 and static pressure H1 of the main ventilation fans after the disaster were monitored and recorded. The parameter values ​​that could reflect the post-disaster operating status were selected as the analysis data.

[0032] The air volume Q1 and static pressure H1 are compared with the pre-disaster baseline operating parameters air volume Q0 and static pressure H0, and their changes ΔQ and ΔH are calculated as the basic indicators for subsequent analysis of the ventilation system status in the disaster area. ΔQ = Q1 - Q0, ΔH = H1 - H0.

[0033] S3: Preliminary diagnosis of damage type based on main fan parameter variation mode Based on the numerical and sign combinations of ΔQ and ΔH obtained in S2.2, and compared with the pre-summarized correlation map of "ventilation system failure mode - main fan parameter response", a preliminary diagnosis of the macroscopic failure type suffered by the downhole ventilation system is made: Based on the numerical values ​​and sign combinations of the main ventilation fan operating parameter changes ΔQ and ΔH obtained in S2.2, the parameter change characteristics are compared with the pre-summarized ventilation system damage modes and main fan parameter response relationships to make a preliminary diagnosis of the possible macroscopic damage types that the underground ventilation system may suffer.

[0034] The pre-summarized relationship between ventilation system failure modes and main fan parameter response is used to characterize the general characteristics of changes in the main fan operating parameters under different ventilation system failure scenarios.

[0035] Mode A: Increased Total Air Resistance in the Ventilation System. When ΔH is positive and exceeds the corresponding anomaly threshold, and ΔQ is negative and exceeds the corresponding anomaly threshold, the ventilation system is determined to be in Mode A. This mode characterizes a situation where the overall air resistance of the mine ventilation network increases significantly. The main suspected causes include: large-scale roof falls or collapses in the main intake or return airway causing physical blockages; or a fire occurring in the upward airflow and creating reverse fire-wind pressure in the disaster area, counteracting the ventilation effect of the main ventilation fans. These suspected causes serve as analytical hypotheses for subsequent detailed assessment and verification analysis.

[0036] Mode B: Ventilation System Total Resistance Reduction Mode. When ΔH is negative and exceeds the corresponding anomaly threshold, and ΔQ is positive and exceeds the corresponding anomaly threshold, the ventilation system is determined to be in Mode B. This mode is used to characterize situations where the overall air resistance of the mine ventilation network is significantly reduced. The main suspected causes include: explosions or fires damaging key ventilation facilities (such as air doors and sealed walls), leading to ventilation short circuits; or fires occurring in downdrafts and creating positive fire-wind pressure in the disaster area, which plays a supporting role in the ventilation of the main ventilators. These suspected causes also serve as the basis for subsequent analysis and verification hypotheses.

[0037] Mode C: The ventilation system is in Mode C when the changes in ΔH and ΔQ do not exceed the abnormal judgment threshold or fluctuate irregularly, and the direction and magnitude of their changes do not meet the judgment conditions of Mode A or Mode B.

[0038] This mode is used to characterize situations in ventilation systems where there may be both resistance-increasing and resistance-reducing factors, or where the scope of the disaster is localized and has not yet significantly disturbed the overall operating conditions of the main ventilation fan. Possible causes include: the simultaneous existence of mutually canceling factors such as resistance-increasing (blockage) and resistance-reducing (cross-sectional expansion) within the same branch, or the simultaneous occurrence of the damage corresponding to Mode A and Mode B in different branches of the ventilation network, or the scope of the disaster being localized and not significantly disturbing the operating conditions of the main fan.

[0039] S4: Multi-source information fusion and detailed analysis of damage scenarios After completing the preliminary diagnosis of the damage type based on the changes in the main ventilation fan parameters in S3, data from the downhole safety monitoring system and local detection information are introduced to verify and refine the preliminary diagnosis results in order to further clarify the nature of the ventilation system damage and the areas where it may occur.

[0040] S4.1: Downhole Environmental Parameter Analysis Retrieve time-series data of environmental parameters such as CO concentration, smoke, and temperature collected by the gas monitoring system in the return air shaft, main return air roadway, and mining area return air roadway, and compare and analyze the changes in the environmental parameters with the damage mode diagnosis results obtained in S3.

[0041] When the changing characteristics of the environmental parameters are consistent with the typical characteristics corresponding to a certain failure mode in S3, it is used to verify the rationality of the failure mode diagnosis result; when the changing characteristics of the environmental parameters are inconsistent with the failure mode, it is used to exclude or correct the failure mode. For example: if the diagnosis is mode A, and the CO and temperature on the return air side rise sharply, it strongly supports the judgment of "fire accompanied by reverse fire wind pressure"; if the diagnosis is mode B, but there is no abnormality in the harmful gas on the return air side, it is more likely to be "short circuit caused by simple ventilation facility failure".

[0042] S4.2: Local Ventilation System Detection and Analysis Under the premise of ensuring the safety of rescue, detection teams or mobile detection equipment are used to detect the alleys approaching the disaster area to obtain ventilation status information such as airflow direction, wind speed and gas composition in the alleys.

[0043] The detection information is used to verify the analysis results obtained based on the changes in the main ventilator parameters and the ventilation network calculation, in order to confirm whether there are phenomena such as airflow reversal, airflow stagnation or ventilation short circuit near the disaster area, and to provide a basis for judging the specific areas where ventilation system damage may occur.

[0044] S4.3: Verification of Ventilation Network Solution Reverse Derive The mine ventilation network solution model established in S1 and calibrated with measured data is invoked, and the air volume Q1 and static pressure H1 of the main ventilation fan measured after the disaster are used as the overall constraints for the ventilation network solution.

[0045] Based on the preliminary failure mode diagnosis results in S3 and the analysis results of the downhole environmental parameters in S4.1, failure scenarios corresponding to the diagnosis results are set in the ventilation network solution model, including adding local ventilation resistance in the corresponding branches to simulate roadway blockage, or changing the ventilation facility status to simulate ventilation facility failure.

[0046] The ventilation network solution model is solved, and the air volume and direction of each node output by the model are compared and analyzed with the actual monitoring data obtained by the downhole safety monitoring system and local detection. By adjusting the setting location and impact degree of the failure scenario, the model solution results are made consistent with the actual monitoring data in terms of change trend and order of magnitude, thereby determining the most likely failure state of the downhole ventilation system, including the most likely failure map of the downhole ventilation network, including failure type, quantitative impact degree, potential airflow reversal risk points, etc.

[0047] S5: Comprehensive Analysis Report Generation and Decision Support Based on the analytical conclusions of all the above steps, a structured and operational report on the status assessment of the ventilation system in the disaster area will be generated. This report should include: Integrity assessment of the main ventilation system (normal / minor disturbance / serious anomaly / failure); Qualitative and quantitative description of macroscopic damage modes of ventilation networks (damage mode, damage location); Inferences about the nature of the disaster (explosion, fire, or combined disaster) and its possible source areas; Location of key areas of downhole airflow turbulence and risk level assessment (stable / weakened / interrupted / reversed); Under current ventilation conditions, potential safety risks are highlighted (such as gas accumulation and smoke spreading through rescue passages). ⑥ Simulation analysis and comparison recommendations of the expected effects of different disaster relief ventilation control schemes (such as maintaining the status quo, reverse ventilation, and resistance increase adjustment).

[0048] S5: Output of comprehensive analysis results and generation of decision support information After completing the analysis and verification of steps S2 to S4, based on the analysis results of the main ventilation fan operation status, the diagnosis results of the ventilation system failure mode, and the verification results of the ventilation network calculation, a comprehensive assessment output of the ventilation system status in the disaster area is generated to provide technical reference for subsequent emergency response.

[0049] The comprehensive analysis output information includes at least the following: ① The assessment results of the main ventilation fan system operation status are based on the inspection of the main ventilation fan's own operation status and the changes in key operation parameters in S2, which characterize the operation status level of the main ventilation fan after the disaster (normal / minor disturbance / serious abnormality / failure). ② Description of the macroscopic damage state of the ventilation network. The description results are based on the preliminary diagnosis of the damage mode in S3 and the ventilation network solution results in S4.3. The damage form of the ventilation system and its position of influence in the ventilation network are qualitatively described, and quantitatively characterized (damage form, damage location) is performed in combination with the changes in the main ventilation fan parameters and the model solution results. ③ The inference results of the nature of the disaster (explosion, fire or compound disaster) and the area that may be affected. The inference results are based on the characteristics of changes in downhole environmental parameters and the analysis of ventilation network calculations to analyze and judge the type of disaster and the area that may be affected. ④ Classification results of underground airflow status. The classification results are based on the changes in air volume and direction output by the ventilation network solution, and classify and characterize the airflow status of key underground areas (stable / weakening / interrupted / reversed). ⑤ Analysis results of potential safety risks under the current ventilation conditions. The analysis results are based on airflow conditions and gas monitoring data, and provide warnings of potential risks such as gas accumulation and smoke spread (e.g., gas accumulation and smoke spread in rescue passages). ⑥ Effect analysis results under different ventilation control measures. The effect analysis results are based on the ventilation network solution model and simulate the changes in the ventilation system state under different ventilation control scenarios to show the possible impact of different control measures (such as maintaining the status quo, reverse ventilation, and resistance increase adjustment).

[0050] This invention discloses a method for analyzing the state of mine ventilation systems damaged by thermodynamic disasters. By constructing a monitoring system for key ventilation fan parameters, establishing a disaster impact characteristic database, implementing multi-source information fusion judgment, and operating a network calculation system, it overcomes the limitations of traditional methods relying on single parameters or subjective experience. The beneficial effects of this invention are mainly reflected in the following points: (1) Systematic analysis process: The closed-loop analysis framework of "pre-disaster modeling - disaster perception - post-disaster simulation" is proposed, which integrates the scattered observation of disaster phenomena into a standardized analysis process of "data collection → pattern recognition → information fusion → model verification → report output", which greatly improves the systematicness and reliability of the judgment.

[0051] (2) Achieve rapid preliminary diagnosis: Using the most readily available ground main fan parameters, a preliminary diagnosis of the macroscopic damage type of the ventilation system can be completed immediately after the disaster, giving us a head start in emergency response.

[0052] (3) Effective integration of multi-source information: By combining ground monitoring, downhole sensor network, manual detection information and ventilation network model solution depth, a "disaster scenario database + matching inference" intelligent diagnostic model is constructed, which realizes the combination of forward inference and reverse verification, improves the accuracy of judgment and reduces the risk of misjudgment.

[0053] (4) Provide quantitative decision support: The final output not only includes qualitative conclusions, but also provides ventilation status prediction under different disaster relief strategies through network calculation, so that the rescue command can be transformed from "experience-based decision-making" to "data-driven decision-making".

[0054] By constructing a full-chain analysis paradigm of "data-driven + model-supported + intelligent reasoning", the system has achieved accurate identification and scientific deduction of the disaster area's status, significantly improving the ability and level of mine disaster emergency management.

[0055] This example uses a coal mine employing a central parallel ventilation system, with explosion-proof axial flow fans as the main ventilation fans. One day, the underground monitoring system and personnel reports indicated a suspected gas explosion within the mine, and the following handling methods were adopted.

[0056] S1: Call the pre-disaster baseline database system to retrieve the pre-disaster baseline database data. The operating parameters of the main ventilation fan under normal production conditions are: static pressure H0=2200Pa, air volume Q0=150m³ / s; the corresponding mine ventilation network digital model has been calibrated based on the measured data.

[0057] S2: Rapid Acquisition and Characterization of Main Ventilation Fan Status After Disaster S2.1: An inspection of the main ventilation fan's operating status revealed that the explosion-proof cover bulged slightly and was accompanied by air leakage. The noise level of the ventilation fan was significantly higher than before the disaster, indicating that the ventilation fan's operating status had changed abnormally.

[0058] S2.2: The operating parameters of the main ventilation fans were monitored. Monitoring data showed that air volume and static pressure fluctuated drastically after the disaster and then stabilized. Under stable conditions, the static pressure H1 = 2800 Pa and the air volume Q1 = 120 m³ / s. Therefore, ΔH = +600 Pa and ΔQ = ... 30 m³ / s.

[0059] S3: Preliminary diagnosis of damage type based on the direction of change of ΔH and ΔQ ( ΔH Significantly positive. ΔQ The relationship between the significantly negative (and anomaly detection threshold) and the main ventilation fan parameter changes conforms to pattern A, where the total air resistance of the ventilation system increases significantly. Based on this preliminary diagnostic result, it is inferred that the underground ventilation system may be damaged by obstructed return air passages or reverse fire pressure generated in the disaster area.

[0060] S4: Multi-source information fusion and detailed analysis of damage scenarios S4.1: Data from the downhole safety monitoring system was retrieved. The results showed that the CO concentration in the main return airway, approximately 800 meters from the wellhead, rose from 0 ppm to 1200 ppm within 2 minutes after the explosion signal was triggered. Simultaneously, the temperature sensor at this location recorded a temperature increase of approximately 40°C. These environmental parameter changes are consistent with a flammable environment.

[0061] S4.2: Local detection results showed no obvious structural damage on the air intake side, while the return airway area could not be further explored due to environmental limitations.

[0062] S4.3: The measured parameters H1 and Q1 of the main ventilation fans after the disaster were input as constraints into the ventilation network solution model. First, a failure scenario of local blockage in the return airway was set up in the model for solution calculation. The model output results were basically consistent with the measured trends of the main ventilation fan parameters. Based on this, combined with the abnormal CO concentration and temperature data on the return air side from S4.1, a simulated fire source was introduced at the corresponding location in the model to generate reverse fire wind pressure, and the solution was performed again. Under this condition, the changes in the main ventilation fan parameters output by the model and the gas change trends in the return air path showed a high degree of consistency with the measured data.

[0063] S5: Comprehensive Assessment Results and Conclusions: Based on the above analysis, the comprehensive assessment indicates that this disaster involved a gas explosion accompanied by a fire. The explosion impact caused localized blockage in the return airway, and the fire in the disaster area created reverse fire-air pressure within the return airway. The combined effect of these factors significantly increased the total air resistance of the mine ventilation system. Risk: Further analysis shows that under the current ventilation conditions, the return air capacity in the disaster area is limited, posing a risk of flue gas and combustible gas accumulation. Furthermore, the main ventilation fans may be operating near an unstable region. Recommendations: In addition, a ventilation network simulation model was used to analyze different ventilation control scenarios, outputting the results of ventilation system state changes under each scenario to provide technical reference for subsequent emergency response. ① Blindly adjusting the main fan or restoring the explosion-proof cover is strictly prohibited to prevent oxygen supply from aiding combustion or triggering a gas explosion. ② The focus of disaster relief should prioritize establishing new temporary return air channels or implementing controllable pressure equalization fire suppression, while closely monitoring gas changes. ③ Network simulation results under different airflow adjustment schemes are provided for the command center to compare and select.

[0064] As can be seen from this embodiment, the method of the present invention can analyze and infer the damage status of the underground ventilation system in a short period of time after a disaster based on the main ventilation fan parameters, multi-source monitoring information and ventilation network calculation, thereby verifying the feasibility and effectiveness of the method of the present invention.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions 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 solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters, characterized in that, Includes the following steps: S1: During normal mine production, the operating status data of the mine ventilation system is measured and recorded, and the data is updated when the operating status of the ventilation system changes, so as to construct a disaster analysis benchmark library for post-disaster ventilation system status analysis. The disaster analysis benchmark library includes at least the benchmark air volume Q0 and benchmark static pressure H0 of the main ventilation fan under rated operating conditions, as well as the topology and ventilation resistance parameters of the mine ventilation network. S2: After a thermal disaster occurs in the mine, the real-time operating status information of the main ventilation fans on the ground is obtained through the main ventilation fan monitoring system, and the air volume Q1 and static pressure H1 of the main ventilation fans after the disaster are obtained; S3: Compare the air volume Q1 and static pressure H1 of the main ventilation fan after the disaster with the pre-disaster baseline operating parameters air volume Q0 and static pressure H0, and calculate the change in the main ventilation fan operating parameters ΔQ=Q1. Q0, ΔH=H1 H0; S4: Based on the changing directions of ΔQ and ΔH and their relationship with the anomaly determination threshold, a preliminary diagnosis is made of the type of macroscopic damage suffered by the mine ventilation system, wherein: When ΔH is positive and exceeds the corresponding anomaly detection threshold, and ΔQ is negative and exceeds the corresponding anomaly detection threshold, the ventilation system is determined to be in the destructive mode of increased total air resistance. When ΔH is negative and exceeds the corresponding anomaly detection threshold, and ΔQ is positive and exceeds the corresponding anomaly detection threshold, the ventilation system is determined to be in the destructive mode of reduced total air resistance. When the changes in ΔQ and ΔH do not exceed the anomaly judgment threshold, or do not meet the judgment conditions of the above-mentioned damage mode, the ventilation system is judged to be in a combined or local disturbance damage mode. S5: Introduce data from the underground safety monitoring system and local detection information to verify and correct the preliminary diagnosis results, and call the ventilation network solution model. Use the air volume Q1 and static pressure H1 of the main ventilation fan after the disaster as the overall constraints for the ventilation network solution. Set the failure scenario corresponding to the failure mode in the ventilation network solution model for solution analysis to determine the failure state of the underground ventilation system. S6: Based on the above analysis results, output the comprehensive assessment results of the ventilation system status in the disaster area.

2. The method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters according to claim 1, characterized in that: The disaster analysis benchmark library also includes individual performance curves of the main ventilation fans, which are used to characterize the correspondence between air volume and static pressure of the main ventilation fans under different operating conditions.

3. The method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters according to claim 1, characterized in that: The topology and ventilation resistance parameters of the mine ventilation network include the air volume, air pressure, and ventilation resistance values ​​of the intake airway, return airway, and air usage points under normal production conditions.

4. The method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters according to claim 1, characterized in that: Step S2 also includes inspecting the operating status of the main ventilator itself. The inspection includes monitoring the vibration, noise, or operating point trajectory of the main ventilator to determine whether the main ventilator has experienced structural or operational abnormalities due to the impact of the disaster.

5. The method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters according to claim 1, characterized in that: In step S3, ΔQ and ΔH are calculated by selecting the values ​​of the main ventilation fan operating parameters after the disaster when the fluctuations tend to stabilize.

6. The method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters according to claim 1, characterized in that: The anomaly determination threshold is determined based on the statistical results of long-term operation data of the main ventilation fans before the disaster, and is used to distinguish between normal fluctuations in the operating parameters of the main ventilation fans and abnormal changes caused by the disaster.

7. The method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters according to claim 1, characterized in that: In step S5, the downhole safety monitoring system data includes gas concentration, smoke, and temperature monitoring data at the return air shaft, main return airway, or mining area return airway.

8. The method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters according to claim 1, characterized in that: In step S5, the ventilation network solution model uses the air volume Q1 and static pressure H1 of the main ventilation fan after the disaster as the overall constraint conditions, and sets the damage scenario corresponding to the damage mode in the ventilation network solution model for solution analysis.

9. The method for analyzing the state of a mine ventilation system damaged by thermodynamic disasters according to claim 1, characterized in that: The comprehensive assessment results of the ventilation system status in the disaster area include at least the assessment results of the main ventilation fan operation status, the description results of the macroscopic damage status of the ventilation network, the classification results of the underground airflow status, and the analysis results of the potential risks of the ventilation system.

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