Intelligent comprehensive management system and management method for coal mines

Abstract

The present invention relates to the field of intelligent management, and in particular to an intelligent integrated management system and management method for coal mines. The present invention divides a number of coal mine monitoring areas, determines the wind direction characteristics of a number of detection points in each coal mine monitoring area, so as to determine the wind flow vector and obtain the gas concentration values ​​of a number of path points on the wind flow path corresponding to the wind flow vector; determines the vector interaction area based on the wind flow vector of each coal mine monitoring area, and determines whether it belongs to the flow gathering area in combination with the gas concentration value on each wind flow path; responds to the judgment result, verifies whether to issue an early warning signal for the coal mine monitoring area; the present invention detects the gas gathering area in the coal mine, intervenes in time, and avoids the risk of gas outburst caused by excessive concentration.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management, and in particular to an intelligent comprehensive management system and management method for coal mines. Background Art

[0002] Nowadays, for coal mine gas over-limit warning, information technology is used to conduct real-time monitoring and data analysis of key parameters such as coal mine gas concentration, temperature, and pressure. At the same time, multi-indicator data related to coal mine gas is quantified, providing a management basis for coal mine safety production, so as to improve the accuracy and timeliness of gas over-limit warning and improve the level of coal mine safety production.

[0003] China Patent Publication No.: CN118273770A discloses a coal mine gas intelligent detection and early warning system, including: a detection module for obtaining pressure information, deformation information and concentration information of the coal seam roof; a processing module for inferring the deformation trend according to the deformation information, judging the probability of cracking of the coal seam roof according to the pressure information, and judging the severity of gas leakage according to the deformation trend; and selecting a way to delay gas leakage based on the concentration of the escaped gas, and delaying the escape speed of the gas; a collection module for obtaining relevant parameters in the mine; an analysis module for evaluating the current safety status in the mine based on the relevant parameters in the mine and the escape speed of the gas; and an early warning module for sending early warning information based on the safety status in the mine. This solution can improve the early warning effect by delaying the rate of increase of gas concentration in the mine when gas leaks, so as to buy reaction time for the staff to deal with gas leakage.

[0004] However, the prior art still has the following problems:

[0005] Although a unified gas detection method is sensitive to relatively high concentrations of gas, in reality gas monitoring sensors are not widely and densely deployed, making it impossible to monitor all areas. It also does not take into account the risk that low-concentration gas accumulation in local areas may also cause. Summary of the invention

[0006] To this end, the present invention provides an intelligent comprehensive management system and management method for coal mines, so as to overcome the problem in the prior art that a unified gas detection form is adopted. Although it is sensitive to relatively high concentrations of gas, in actual situations, gas monitoring sensors are not widely and densely deployed, and it is impossible to monitor all areas. It also fails to consider the risk that the concentrated accumulation of low-concentration gas in local areas may also cause risks.

[0007] To achieve the above object, the present invention provides an intelligent comprehensive management method for coal mines, which comprises:

[0008] Step S1, dividing a number of coal mine monitoring areas, determining the wind direction characteristics of a number of detection points in each of the coal mine monitoring areas, so as to determine the wind flow vector and obtain the gas concentration values ​​of a number of path points on the wind flow path corresponding to the wind flow vector;

[0009] Step S2, determining a vector interaction area based on the wind flow vectors of each coal mine monitoring area, and determining a flow aggregation tendency parameter in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector;

[0010] Step S3, determining whether the vector interaction area belongs to a flow aggregation area based on the flow aggregation tendency parameter;

[0011] Step S4, responding to the determination result, verifying whether an early warning signal is issued for the coal mine monitoring area, including:

[0012] adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter, acquiring image data of the flow aggregation area, and determining the dense features of the object contour by marking the object contour;

[0013] Furthermore, the change in gas concentration value on each airflow path in the monitoring area of ​​the coal mine within a predetermined time period is continuously obtained after the ventilation mechanism is adjusted, and based on the change in gas concentration value and the intensive feature analysis risk characterization coefficient, it is determined whether to issue an early warning signal.

[0014] Furthermore, in step S1, the process of constructing the wind flow vector includes:

[0015] The detection point is used as a vector starting point, and the wind flow vector is constructed with the wind direction feature as the vector direction.

[0016] Furthermore, in step S2, the process of determining the vector interaction area based on each wind flow vector includes:

[0017] Construct a three-dimensional spatial coordinate system for the coal mine monitoring area;

[0018] Determining each of the wind flow vectors in the three-dimensional space coordinate system;

[0019] Dividing the coal mine monitoring area into a plurality of sub-areas to determine the number of wind flow vectors passing through each sub-area;

[0020] The sub-regions whose number is greater than a predetermined number threshold are determined as vector interaction regions.

[0021] Furthermore, in step S2, the process of determining the flow aggregation tendency parameter in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector includes:

[0022] Obtain the gas concentration value of each path point on the wind flow path;

[0023] Calculate the average gas concentration value corresponding to each path point;

[0024] The mean value of the gas concentration is determined as a flow aggregation tendency parameter.

[0025] Further, in step S3, judging whether the vector interaction area belongs to the flow aggregation area based on the flow aggregation tendency parameter includes:

[0026] If the flow aggregation tendency parameter is greater than or equal to the flow aggregation tendency parameter threshold, it is determined that the vector interaction area belongs to the flow aggregation area.

[0027] Further, in step S4, responding to the determination result, verifying whether to issue an early warning signal for the coal mine monitoring area includes:

[0028] In response to the vector interaction area belonging to the flow gathering area, it is verified whether an early warning signal is issued for the coal mine monitoring area.

[0029] Furthermore, in step S4, adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter includes:

[0030] The power of the ventilation mechanism is increased, and the power increase value is positively correlated with the flow aggregation tendency parameter.

[0031] Furthermore, in step S4, determining the dense features of the object contour by marking the object contour includes:

[0032] Identify the outlines of objects in areas where flows gather;

[0033] Determine the area ratio of each object outline relative to the flow gathering area;

[0034] The contour area of ​​the identified object contour must be greater than a predetermined area threshold.

[0035] Furthermore, in step S4, the risk characterization coefficient is analyzed according to formula (1) based on the gas concentration value change and the dense feature to determine whether to issue a warning signal, including:

[0036] The risk characterization coefficient is calculated according to formula (1):

[0037] (1);

[0038] In formula (1), F represents the risk characterization coefficient, W represents the mean value of the change in gas concentration, W0 represents the standard threshold of the change in gas concentration, M represents the dense feature, and M0 represents the dense feature threshold;

[0039] If the risk characterization coefficient is greater than or equal to the risk characterization threshold, a warning signal is issued.

[0040] Furthermore, a system for an intelligent integrated management method for a coal mine is provided, comprising:

[0041] A data acquisition module, including a plurality of gas concentration acquisition units for acquiring gas concentration values ​​and a plurality of wind direction detection units for acquiring wind direction characteristics;

[0042] A data analysis module connected to the data acquisition module is used to determine the vector interaction area based on the wind flow vectors of each coal mine monitoring area, and determine the flow aggregation tendency parameters in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector;

[0043] a standard determination module, connected to the data analysis module, for determining whether the vector interaction area belongs to a flow aggregation area based on the flow aggregation tendency parameter;

[0044] A response warning module, which is connected to the data acquisition module, the data analysis module and the standard determination module respectively, is used to respond to the determination result and verify whether to issue a warning signal for the coal mine monitoring area, including:

[0045] adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter, acquiring image data of the flow aggregation area, and determining the dense features of the object contour by marking the object contour;

[0046] Furthermore, the change in gas concentration value on each airflow path in the monitoring area of ​​the coal mine within a predetermined time period is continuously obtained after the ventilation mechanism is adjusted, and based on the change in gas concentration value and the intensive feature analysis risk characterization coefficient, it is determined whether to issue an early warning signal.

[0047] Compared with the prior art, the present invention divides a coal mine into several monitoring areas, determines the wind direction characteristics of several detection points in each coal mine monitoring area, so as to determine the wind flow vector and obtain the gas concentration values ​​of several path points on the wind flow path corresponding to the wind flow vector; determines the vector interaction area based on the wind flow vector of each coal mine monitoring area, and determines whether it belongs to the flow gathering area in combination with the gas concentration value on each wind flow path; responds to the judgment result, and verifies whether to issue an early warning signal for the coal mine monitoring area; the present invention detects the gas gathering area in the coal mine and intervenes in time to avoid the risk of gas outburst caused by excessive concentration.

[0048] In particular, the present invention determines the flow aggregation tendency parameters in the vector interaction area by determining the vector interaction area and combining it with the gas concentration value on each wind flow path. When the ventilation mechanism in the coal mine is in operation, different wind flow paths may be generated in a single coal mine monitoring area for ventilation. In actual situations, if there are local areas with a high degree of intersection of wind flow paths, even if the gas concentration is relatively low, if there are equipment or personnel in the flow aggregation area that hinder gas diffusion, risks are likely to occur. Therefore, the present invention characterizes the degree of gas aggregation tendency through flow aggregation tendency parameters, provides data support for the subsequent determination of flow aggregation areas, and further, responds to and verifies whether to issue an early warning signal for the coal mine monitoring area. The present invention detects the gas aggregation area in the coal mine to facilitate timely intervention and avoid risks caused by excessive concentration of gas.

[0049] In particular, the present invention pre-adjusts the power of the ventilation mechanism in areas where the degree of gas accumulation tends to be higher to alleviate the gas accumulation, and then determines the dense characteristics according to the contours of objects in the flow accumulation area. In actual situations, there may be objects or equipment in the flow accumulation area of ​​some coal mine monitoring areas that hinder gas diffusion. Under the superposition of gas accumulation factors, risks are likely to arise. Therefore, it is considered to characterize the degree of interference of objects or equipment with gas diffusion according to the dense characteristics of the object contour. At the same time, the change in gas concentration of each airflow path within a predetermined time period after pre-adjustment is continuously obtained. On the premise that ventilation has been adjusted to alleviate gas accumulation, the change in gas concentration is considered to comprehensively determine the potential risks of gas concentration and improve coal mine safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A schematic diagram of the steps of an intelligent comprehensive management method for coal mines according to an embodiment of the invention;

[0051] Figure 2 A logic decision diagram for determining whether a flow aggregation area meets the flow aggregation standard for an embodiment of the invention;

[0052] Figure 3 A logic decision diagram for determining whether to respond to a decision result for an embodiment of the invention;

[0053] Figure 4 This is a logic decision diagram for determining whether to issue a warning signal according to an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0055] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0056] It should be noted that in the description of the present invention, terms such as "upper" and "inner" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0057] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0058] See also Figures 1 to 4 As shown, Figure 1 Schematic diagram of the steps of the intelligent comprehensive management method for coal mines according to an embodiment of the present invention. Figure 2 A logical decision diagram for determining whether a flow aggregation area meets the flow aggregation standard for an embodiment of the invention, Figure 3 A logic decision diagram for determining whether to respond to a decision result for an embodiment of the invention, Figure 4 The present invention is a logic decision diagram for determining whether to issue an early warning signal according to an embodiment of the present invention. The intelligent comprehensive management method for coal mines according to an embodiment of the present invention includes:

[0059] Step S1, dividing a number of coal mine monitoring areas, determining the wind direction characteristics of a number of detection points in each of the coal mine monitoring areas, so as to determine the wind flow vector and obtain the gas concentration values ​​of a number of path points on the wind flow path corresponding to the wind flow vector;

[0060] Step S2, determining a vector interaction area based on the wind flow vectors of each coal mine monitoring area, and determining a flow aggregation tendency parameter in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector;

[0061] Step S3, determining whether the vector interaction area belongs to a flow aggregation area based on the flow aggregation tendency parameter;

[0062] Step S4, responding to the determination result, verifying whether an early warning signal is issued for the coal mine monitoring area, including:

[0063] adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter, acquiring image data of the flow aggregation area, and determining the dense features of the object contour by marking the object contour;

[0064] Furthermore, the change in gas concentration value on each airflow path in the monitoring area of ​​the coal mine within a predetermined time period is continuously obtained after the ventilation mechanism is adjusted, and based on the change in gas concentration value and the intensive feature analysis risk characterization coefficient, it is determined whether to issue an early warning signal.

[0065] Specifically, there is no limitation on the division method of the coal mine monitoring area. It can be understood that the coal mine underground can be divided into several areas of equal area as coal mine monitoring areas, which will not be elaborated here.

[0066] Specifically, there is no specific limitation on the method of obtaining wind direction characteristics. A wind direction sensor can be used as long as it can obtain the wind direction. Technical personnel in this field can also choose the method of obtaining wind direction characteristics according to actual conditions, which will not be elaborated here.

[0067] Specifically, there is no limitation on the device for obtaining the gas concentration values ​​of several path points. It only needs to have the function of detecting the gas concentration, for example, a gas concentration detector. This will not be elaborated here.

[0068] Specifically, in step S1, the process of constructing the wind flow vector includes:

[0069] The detection point is used as a vector starting point, and the wind flow vector is constructed with the wind direction feature as the vector direction.

[0070] Specifically, in step S2, the process of determining the vector interaction area based on each wind flow vector includes:

[0071] Construct a three-dimensional spatial coordinate system for the coal mine monitoring area;

[0072] Determining each of the wind flow vectors in the three-dimensional space coordinate system;

[0073] Dividing the coal mine monitoring area into a plurality of sub-areas to determine the number of wind flow vectors passing through each sub-area;

[0074] The sub-regions whose number is greater than a predetermined number threshold L0 are determined as vector interaction regions.

[0075] In this embodiment, in order to reflect the situation where multiple wind flow paths converge, the predetermined number threshold L0 is set within the interval [3,7].

[0076] Specifically, a single wind flow vector corresponds to a single wind flow path, and the wind flow path is an air supply path along the direction of the wind flow vector.

[0077] Specifically, in step S2, the process of determining the flow aggregation tendency parameter in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector includes:

[0078] Obtain the gas concentration value of each path point on the wind flow path;

[0079] Calculate the average gas concentration value corresponding to each path point;

[0080] The mean value of the gas concentration is determined as a flow aggregation tendency parameter.

[0081] The present invention determines the flow aggregation tendency parameters in the vector interaction area by determining the vector interaction area and combining it with the gas concentration value on each wind flow path. When the ventilation mechanism in the coal mine is in operation, different wind flow paths may be generated in a single coal mine monitoring area for ventilation. In actual situations, if there are local areas with a high degree of intersection of wind flow paths, even if the gas concentration is relatively low, if there are equipment or personnel in the flow aggregation area that hinder gas diffusion, risks are likely to occur. Therefore, the present invention characterizes the degree of gas aggregation tendency through flow aggregation tendency parameters, provides data support for subsequent determination of flow aggregation areas, and further, responds to and verifies whether to issue an early warning signal for the coal mine monitoring area. The present invention detects the gas aggregation area in the coal mine to facilitate timely intervention and avoid risks caused by excessive concentration of gas.

[0082] Specifically, in step S3, judging whether the vector interaction area belongs to the flow aggregation area based on the flow aggregation tendency parameter includes:

[0083] If the flow aggregation tendency parameter is greater than or equal to the flow aggregation tendency parameter threshold, it is determined that the vector interaction area belongs to the flow aggregation area;

[0084] If the flow aggregation tendency parameter is less than the flow aggregation tendency parameter threshold, it is determined that the vector interaction area does not belong to the flow aggregation area.

[0085] The flow aggregation tendency parameter threshold is determined based on the maximum allowable gas concentration in the well and is set between 0.45 and 0.75 times the maximum allowable gas concentration in the well.

[0086] Specifically, in step S4, responding to the determination result and verifying whether to issue an early warning signal for the coal mine monitoring area includes:

[0087] In response to the vector interaction area belonging to the flow gathering area, verifying whether to issue an early warning signal for the coal mine monitoring area;

[0088] If the vector interaction area does not belong to the flow aggregation area, there is no need to verify whether to issue an early warning signal for the coal mine monitoring area.

[0089] Specifically, in step S4, adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter includes:

[0090] The power of the ventilation mechanism is increased, and the power increase value is positively correlated with the flow aggregation tendency parameter R.

[0091] In this embodiment, optionally,

[0092] The flow aggregation tendency parameter R is compared with the first flow aggregation tendency parameter comparison threshold R1 and the second flow aggregation tendency parameter comparison threshold R2,

[0093] If R>R2, the power increase value is determined to be the first power increase value c1, and c1=0.46c0 is set;

[0094] If R1≤R≤R2, the power increase value is determined to be the second power increase value c2, and c2=0.33c0 is set;

[0095] If R<R1, the power increase value is determined to be the third power increase value c3, and c3=0.21c0;

[0096] Among them, c0 represents the power of the initial ventilation mechanism, R1=1.2R0, R2=1.3R0.

[0097] As for the power of the initial ventilation mechanism, those skilled in the art can determine it according to the scale and site design of the coal mine, which will not be elaborated here.

[0098] Specifically, in step S4, determining the dense features of the object contour by marking the object contour includes:

[0099] Identify the outlines of objects in areas where flows gather;

[0100] Determine the area ratio of each object outline relative to the flow gathering area;

[0101] The contour area of ​​the identified object contour must be greater than a predetermined area threshold.

[0102] It can be understood that in order to mainly identify the features of objects that hinder gas diffusion, the predetermined area threshold is selected within the interval [0.25m², 0.5m²].

[0103] Specifically, there is no limitation on the method of identifying the contour of the object. An image segmentation algorithm may be used to identify the edge contour of the object. Of course, other methods may also be used, which will not be described in detail.

[0104] Specifically, in step S4, the risk characterization coefficient is analyzed according to formula (1) based on the gas concentration value change and the dense feature to determine whether to issue a warning signal, including:

[0105] The risk characterization coefficient is calculated according to formula (1):

[0106] (1);

[0107] In formula (1), F represents the risk characterization coefficient, W represents the mean value of the change in gas concentration, W0 represents the standard threshold of the change in gas concentration, M represents the dense feature, and M0 represents the dense feature threshold;

[0108] If the risk characterization coefficient is greater than or equal to the risk characterization threshold, it is determined that a warning signal is issued;

[0109] If the risk characterization coefficient is less than the risk characterization threshold, it is determined that there is no need to issue a warning signal.

[0110] Specifically, the standard threshold value W0 of the gas concentration change is determined based on the average value △W of the gas concentration change before adjusting the ventilation mechanism, and W0=0.25△W is set;

[0111] Specifically, in order to reflect the situation where the object contours are clustered in the flow aggregation area, the dense feature threshold is selected in the interval [0.2, 0.4].

[0112] Specifically, the standard threshold value F0 of the risk characterization coefficient is selected in the interval [1.3,1.6].

[0113] The present invention pre-adjusts the power of the ventilation mechanism in areas where the degree of gas accumulation tends to be higher to alleviate the gas accumulation, and then determines the dense features according to the contours of objects in the flow accumulation area. In actual situations, there may be objects or equipment in the flow accumulation area of ​​some coal mine monitoring areas, which hinder the diffusion of gas. Under the superposition of gas accumulation factors, risks are likely to arise. Therefore, it is considered to characterize the degree of interference of objects or equipment on gas diffusion according to the dense features of the object contours. At the same time, the change in gas concentration of each airflow path within a predetermined time period after pre-adjustment is continuously obtained. Under the premise that ventilation has been adjusted to alleviate gas accumulation, the change in gas concentration is considered to comprehensively determine the potential risks of gas concentration and improve the safety of coal mines.

[0114] Specifically, a system for an intelligent integrated management method for a coal mine is also provided, which includes:

[0115] A data acquisition module, including a plurality of gas concentration acquisition units for acquiring gas concentration values ​​and a plurality of wind direction detection units for acquiring wind direction characteristics;

[0116] A data analysis module connected to the data acquisition module is used to determine the vector interaction area based on the wind flow vectors of each coal mine monitoring area, and determine the flow aggregation tendency parameters in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector;

[0117] a standard determination module, connected to the data analysis module, for determining whether the vector interaction area belongs to a flow aggregation area based on the flow aggregation tendency parameter;

[0118] A response warning module, which is connected to the data acquisition module, the data analysis module and the standard determination module respectively, is used to respond to the determination result and verify whether to issue a warning signal for the coal mine monitoring area, including:

[0119] adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter, acquiring image data of the flow aggregation area, and determining the dense features of the object contour by marking the object contour;

[0120] Furthermore, the change in gas concentration value on each airflow path in the monitoring area of ​​the coal mine within a predetermined time period is continuously obtained after the ventilation mechanism is adjusted, and based on the change in gas concentration value and the intensive feature analysis risk characterization coefficient, it is determined whether to issue an early warning signal.

[0121] Specifically, there is no limitation on the specific structure of the gas concentration collection unit, and it only needs to be able to obtain the gas concentration value, for example, a gas concentration detector, which will not be described in detail.

[0122] Specifically, there is no limitation on the specific structure of the wind direction detection unit, which only needs to be able to obtain wind direction characteristics, such as a wind direction sensor, which will not be described in detail.

[0123] Specifically, there is no limitation on the specific structures of the data analysis module, the standard determination module and the response warning module, and they themselves or each unit therein can be composed of logic components or a combination of logic components, and the logic components include a field programmable processor, a computer or a microprocessor in a computer.

[0124] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. An intelligent comprehensive management method for coal mines, characterized in that: include: Step S1, dividing a number of coal mine monitoring areas, determining the wind direction characteristics of a number of detection points in each of the coal mine monitoring areas, so as to determine the wind flow vector and obtain the gas concentration values ​​of a number of path points on the wind flow path corresponding to the wind flow vector; Step S2, determining a vector interaction area based on the wind flow vectors of each coal mine monitoring area, and determining a flow aggregation tendency parameter in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector; Step S3, determining whether the vector interaction area belongs to a flow aggregation area based on the flow aggregation tendency parameter; Step S4, responding to the determination result, verifying whether an early warning signal is issued for the coal mine monitoring area, including: adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter, acquiring image data of the flow aggregation area, and determining the dense features of the object contour by marking the object contour; And, continuously obtaining the change in gas concentration value on each airflow path in the coal mine monitoring area within a predetermined time period after adjusting the ventilation mechanism, and determining whether to issue an early warning signal based on the change in gas concentration value and the intensive feature analysis risk characterization coefficient; In step S2, the process of determining the vector interaction area based on each wind flow vector includes: Construct a three-dimensional spatial coordinate system for the coal mine monitoring area; Determining each of the wind flow vectors in the three-dimensional space coordinate system; Dividing the coal mine monitoring area into a plurality of sub-areas to determine the number of wind flow vectors passing through each sub-area; Determining the sub-regions whose number is greater than a predetermined number threshold as vector interaction regions; In step S2, the process of determining the flow aggregation tendency parameter in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector includes: Obtain the gas concentration value of each path point on the wind flow path; Calculate the average gas concentration value corresponding to each path point; The mean value of the gas concentration is determined as a flow aggregation tendency parameter.

2. The intelligent comprehensive management method for coal mines according to claim 1, characterized in that: In step S1, the process of constructing the wind flow vector includes: The detection point is used as a vector starting point, and the wind flow vector is constructed with the wind direction feature as the vector direction.

3. The intelligent comprehensive management method for coal mines according to claim 1, characterized in that: In step S3, based on the flow aggregation tendency parameter, it is determined whether the vector interaction area belongs to the flow aggregation area. include, If the flow aggregation tendency parameter is greater than or equal to the flow aggregation tendency parameter threshold, it is determined that the vector interaction area belongs to the flow aggregation area.

4. The intelligent comprehensive management method for coal mines according to claim 1, characterized in that: In step S4, responding to the determination result, verifying whether to issue an early warning signal for the coal mine monitoring area includes: In response to the vector interaction area belonging to the flow gathering area, it is verified whether an early warning signal is issued for the coal mine monitoring area.

5. The intelligent comprehensive management method for coal mines according to claim 1, characterized in that: In the step S4, adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter includes: The power of the ventilation mechanism is increased, and the power increase value is positively correlated with the flow aggregation tendency parameter.

6. The intelligent comprehensive management method for coal mines according to claim 1, characterized in that: In step S4, determining the dense features of the object contour by marking the object contour includes: Identify the outlines of objects in areas where flows gather; Determine the area ratio of each object outline relative to the flow gathering area; The contour area of ​​the identified object contour must be greater than a predetermined area threshold.

7. The intelligent comprehensive management method for coal mines according to claim 1, characterized in that: In step S4, the risk characterization coefficient is analyzed according to formula (1) based on the gas concentration value change and the dense feature to determine whether to issue a warning signal, including: The risk characterization coefficient is calculated according to formula (1): （1）； In formula (1), F represents the risk characterization coefficient, W represents the mean value of the change in gas concentration, W0 represents the standard threshold of the change in gas concentration, M represents the dense feature, and M0 represents the dense feature threshold; If the risk characterization coefficient is greater than or equal to the risk characterization threshold, a warning signal is issued.

8. A system using the intelligent comprehensive management method for coal mines according to any one of claims 1 to 7, characterized in that: include, A data acquisition module, including a plurality of gas concentration acquisition units for acquiring gas concentration values ​​and a plurality of wind direction detection units for acquiring wind direction characteristics; A data analysis module connected to the data acquisition module is used to determine the vector interaction area based on the wind flow vectors of each coal mine monitoring area, and determine the flow aggregation tendency parameters in the vector interaction area in combination with the gas concentration value on the wind flow path corresponding to each wind flow vector; a standard determination module, connected to the data analysis module, for determining whether the vector interaction area belongs to a flow aggregation area based on the flow aggregation tendency parameter; A response warning module is connected to the data acquisition module, the data analysis module and the standard determination module respectively, and is used to respond to the determination result and verify whether to issue a warning signal for the coal mine monitoring area. include, adjusting the power of the ventilation mechanism in the coal mine monitoring area based on the flow aggregation tendency parameter, acquiring image data of the flow aggregation area, and determining the dense features of the object contour by marking the object contour; Furthermore, the change in gas concentration value on each airflow path in the monitoring area of ​​the coal mine within a predetermined time period is continuously obtained after the ventilation mechanism is adjusted, and based on the change in gas concentration value and the intensive feature analysis risk characterization coefficient, it is determined whether to issue an early warning signal.

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