Mine underground environment monitoring method and system based on sensor data analysis

Abstract

The present invention relates to the field of data processing technology, and proposes a mine underground environment monitoring method and system based on sensor data analysis, including: arranging sensors at several monitoring points in the mine, obtaining gas concentration data at several times at different monitoring points; obtaining the gas concentration abnormality factor at each monitoring point at each time; obtaining the correlation of gas concentration changes; according to the difference and distribution of gas concentration abnormality factors at different monitoring points at the same time, the size and corresponding time distribution of gas concentration abnormality factors at different times at each monitoring point, and the correlation of gas concentration changes, obtaining the degree of gas concentration abnormality at each monitoring point at each time; monitoring and early warning of gas concentration in the mine. The present invention aims to solve the problem of inaccurate gas concentration monitoring by a single sensor due to gas diffusion in the mine.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for monitoring underground mine environment based on sensor data analysis. Background Art

[0002] With the continuous development of the mining industry, it is particularly important to ensure the safety of miners and the stability of the mine environment; however, traditional monitoring methods often cannot reflect the environmental changes underground in real time and comprehensively, such as changes in gas concentration, temperature fluctuations and humidity changes, which may lead to safety accidents underground. The current monitoring system mainly relies on a variety of sensor technologies, including gas sensors, temperature and humidity sensors, and pressure sensors. These devices can provide basic environmental data, but their limitations in data transmission and processing limit the real-time and accuracy of monitoring.

[0003] In the prior art, the concentration of gas is mainly monitored by sensors based on threshold values. A single sensor is used to monitor the concentration of gas underground in a mine, and an alarm is triggered when the concentration of gas exceeds a certain threshold. However, a ventilation system is installed underground in the mine, and the air is in a state of circulation, so gas will diffuse. Therefore, a single sensor cannot accurately monitor the changes in gas concentration in the mine, and coal miners who are in a high concentration gas environment for a long time will be harmful to their health. Therefore, it is necessary to monitor the changes in gas concentration in the mine through a sensor network, and monitor the changes in gas concentration underground in the mine in real time at multiple locations to ensure the safe operation of coal mining. Summary of the invention

[0004] The present invention provides a mine underground environment monitoring method and system based on sensor data analysis to solve the problem that the gas diffusion in the existing mine causes inaccurate gas concentration monitoring by a single sensor. The technical solution adopted is as follows:

[0005] The present invention proposes a method for underground mine environment monitoring based on sensor data analysis, which comprises the following steps:

[0006] Sensors are deployed at several monitoring points in the mine to obtain gas concentration data at different monitoring points at several times;

[0007] According to the changes and differences of gas concentration data at different monitoring points at different times, the gas concentration anomaly factor at each monitoring point at each time is obtained; based on the difference between the maximum values ​​of gas concentration anomaly factors between adjacent monitoring points and the distribution of the maximum values ​​at the corresponding time, the correlation of gas concentration changes is obtained;

[0008] According to the difference and distribution of gas concentration anomaly factors at different monitoring points at the same time, the size and corresponding time distribution of gas concentration anomaly factors at different times at each monitoring point, and the correlation of gas concentration changes, the degree of gas concentration anomaly at each monitoring point at each time is obtained;

[0009] Based on the abnormal degree of gas concentration at each monitoring point at each moment, the underground gas concentration in the mine is monitored and warned.

[0010] Optionally, the specific method of deploying sensors at several monitoring points in the mine includes:

[0011] Ventilation equipment will be installed in the vertical shaft of the mine to form a gas channel between the vertical shaft and the working plane, and several gas concentration sensors will be arranged in the working plane.

[0012] Optionally, the specific method of obtaining the gas concentration anomaly factor at each monitoring point at each moment is as follows:

[0013] The first The difference between the gas concentration data at the moment and the minimum value of the gas concentration data at all moments is recorded as Monitoring point No. The gas concentration deviation at a certain moment;

[0014] According to the gas concentration offset at different monitoring points at the same time, the gas concentration anomaly factor at each monitoring point at each time is obtained.

[0015] Optionally, the method of obtaining the gas concentration anomaly factor at each monitoring point at each moment according to the gas concentration offset at different monitoring points at the same moment includes the following specific methods:

[0016] The first Monitoring point No. The gas concentration deviation at the moment is related to the gas concentration at all monitoring points. The ratio of the mean value of the gas concentration deviation at the moment is taken as the Monitoring point No. The gas concentration anomaly factor at a certain moment.

[0017] Optionally, the gas concentration change correlation is specifically obtained by:

[0018] The first The maximum value of the abnormal gas concentration factor at all times at the monitoring point is recorded as The maximum concentration anomaly factor of each monitoring point, and the time corresponding to the maximum concentration anomaly factor is recorded as The moment of maximum abnormal concentration at each monitoring point; number all monitoring points from small to large along the ventilation direction in the ventilation system;

[0019] According to the difference in the maximum concentration anomaly factor and the maximum concentration anomaly time between adjacent monitoring points, the correlation of gas concentration changes is obtained.

[0020] Optionally, the gas concentration change correlation is obtained according to the difference in maximum concentration anomaly factor and maximum concentration anomaly time between adjacent monitoring points, including the specific method of:

[0021]

[0022] in, Represents the correlation of gas concentration changes, Indicates the number of monitoring points. Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, Represents an exponential function with a natural constant as its base.

[0023] Optionally, the specific method of obtaining the abnormal degree of gas concentration at each monitoring point at each moment includes:

[0024] Get all monitoring points The monitoring point corresponding to the maximum value of the gas concentration anomaly factor at the moment The distance between the monitoring point and the monitoring point corresponding to the maximum value is recorded as Monitoring point No. The abnormal distance of gas concentration at a certain moment;

[0025] According to the gas concentration anomaly distance, gas concentration anomaly factor, the size of the gas concentration factor at different times at the same monitoring point and the corresponding time distribution, as well as the correlation of gas concentration changes, the degree of gas concentration anomaly at each monitoring point at each moment is obtained.

[0026] Optionally, the abnormal degree of gas concentration at each monitoring point at each moment is obtained according to the abnormal distance of gas concentration, the abnormal factor of gas concentration, the size of the gas concentration factor at different moments of the same monitoring point and the corresponding time distribution, and the correlation of gas concentration changes, including the specific method of:

[0027]

[0028] in, Indicates Monitoring point No. The abnormal degree of gas concentration at a certain moment, Represents the correlation of gas concentration changes, Indicates Monitoring point No. The abnormal gas concentration distance at a certain moment, Indicates Monitoring point No. The moment corresponding to the moment, Indicates The time corresponding to the minimum value of the gas concentration anomaly factor at all times at each monitoring point, Indicates Monitoring point No. The gas concentration anomaly factor at a moment, represents the absolute value function, Represents the normalization function.

[0029] Optionally, the monitoring and early warning of the gas concentration in the mine includes the following specific methods:

[0030] A gas concentration abnormality threshold is preset. If the gas concentration abnormality of any monitoring point at the current moment is greater than or equal to the gas concentration abnormality threshold, an alarm will be issued for the monitoring point.

[0031] The present invention also proposes a mine underground environment monitoring system based on sensor data analysis, the system comprising a memory, a processor and a computer program stored in the memory and running on the processor, and the processor implements the steps of the above method when executing the computer program.

[0032] The beneficial effects of the present invention are as follows: the present invention firstly quantifies the abnormal conditions of the gas concentration at each monitoring point at each time according to the deviation between the gas concentration data at different times and the corresponding minimum value at each monitoring point, and quantifies the deviations of different monitoring points at each time respectively, so as to avoid the problem of inaccurate abnormal quantification caused by the overall change of the gas concentration at different times; then, the maximum concentration abnormal factors of adjacent points are compared along the ventilation direction, and the differences between the corresponding maximum concentration abnormal moments are analyzed, so as to quantify the correlation of the gas concentration changes at different monitoring points, and take into account the influence of ventilation on the gas diffusion in the subsequent abnormal judgment; on the basis of the gas concentration abnormal factors, based on the distance of the gas diffusion of the monitoring points at the same time, and combined with the correlation of the gas concentration changes, the gas diffusion caused by ventilation in the working plane is considered, and combined with the current time of the monitoring point and the corresponding time of its minimum gas concentration abnormal factor, the gas concentration abnormalities of the monitoring points are presented from the two perspectives of time and space, so as to improve the accuracy and timeliness of the underground gas concentration monitoring of the mine, and ensure the safe operation of the underground construction environment of the mine. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0034] Figure 1 A schematic flow chart of a method for monitoring underground mine environment based on sensor data analysis provided by one embodiment of the present invention;

[0035] Figure 2 This is a schematic diagram of the sensor layout in the underground working plane of the mine;

[0036] Figure 3 This is a schematic diagram of the gas concentration data curve in the mine. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] See also Figure 1, which shows a flow chart of a mine underground environment monitoring method based on sensor data analysis provided by an embodiment of the present invention, the method comprising the following steps:

[0039] Step S001: deploy sensors at several monitoring points in the mine to obtain gas concentration data at different monitoring points at several times.

[0040] The purpose of this embodiment is to deploy sensors at several monitoring points underground in a mine and build a sensor network to achieve dynamic monitoring of the gas concentration underground in the mine, timely and accurately detect changes in the gas concentration underground in the mine, and combine with the ventilation equipment in the mine to ensure that the mine is in a safe working environment.

[0041] Specifically, ventilation equipment will be installed in the shaft of the mine to form a gas channel between the shaft and the working plane, ensuring that coal miners are in a good ventilation environment when working on the working plane, and the working plane maintains good ventilation conditions, such as Figure 1 As shown, and in accordance with Figure 2 The schematic diagram of sensor layout in the working plane of the mine shown in FIG. 1 shows that several gas concentration sensors are arranged in the working plane; it should be noted that Figure 2 The number of sensors shown in the figure is for illustration only. The specific number of gas concentration sensors to be arranged depends on the area of ​​the underground working plane of the mine, and is not specifically limited in this embodiment.

[0042] Furthermore, each gas concentration sensor corresponds to a monitoring point, and the gas concentration data of each monitoring point is collected through the sensor. The sampling time interval is set to 1 minute, and the collection starts after the sensor network is deployed. Figure 3 As shown, it is a schematic diagram of the gas concentration data curve obtained at any monitoring point.

[0043] So far, the gas concentration data at several monitoring points at several times have been obtained.

[0044] Step S002: According to the changes and differences in the gas concentration data at different monitoring points at different times, the gas concentration anomaly factor at each monitoring point at each time is obtained; based on the difference between the maximum values ​​of the gas concentration anomaly factors between adjacent monitoring points and the distribution of the maximum values ​​at the corresponding time, the correlation of the gas concentration changes is obtained.

[0045] Preferably, in one embodiment of the present invention, according to the changes and differences of the gas concentration data at different monitoring points at different times, the gas concentration abnormality factor at each monitoring point at each time is obtained, and the specific method includes:

[0046] It should be noted that when coal miners are carrying out mining operations at one place, a gas leak occurs at a nearby location. At this time, the gas concentration at that location will gradually increase, because the ventilation system in the mine is a circulation system, which will bring the gas at that location to the workers' location. Since the gas concentration at the workers' location has not reached the alarm threshold, no alarm will be issued; however, a high-concentration gas environment will be harmful to the health of the workers. Therefore, it is first necessary to obtain the minimum value of the gas concentration data for each monitoring point, and use this to make a preliminary abnormal judgment on the gas concentration data at different monitoring points at each time, that is, the more it deviates from the minimum value of the corresponding monitoring point, the more likely the gas concentration is to be abnormal.

[0047] Specifically, for The gas concentration data of each monitoring point at all times will be The difference between the gas concentration data at the moment and the minimum value of the gas concentration data at all moments is recorded as Monitoring point No. The gas concentration deviation at the moment Monitoring point No. Gas concentration anomaly factor at each moment The calculation method is:

[0048]

[0049] in, Indicates Monitoring point No. The gas concentration deviation at a certain moment is Indicates that all monitoring points are The mean of the gas concentration deviation at each moment; the gas concentration anomaly factor at each monitoring point at each moment is obtained according to the above method.

[0050] It should be noted that by comparing The larger the ratio of the difference in gas concentration deviation between a monitoring point and other monitoring points at the same time, the greater the deviation of the gas concentration data at the monitoring point at that moment, and the more likely it is that an abnormality will occur.

[0051] It should be noted that in addition to the abnormality caused by the increase in gas concentration due to gas leakage at the monitoring point itself, the gas diffusion caused by the ventilation system will cause the gas concentration at the monitoring points along the ventilation direction to increase, but it will not reach a large gas concentration deviation. Therefore, it is also necessary to consider the correlation between the changes in gas concentration at different monitoring points, so as to adjust the subsequent judgment of gas concentration abnormality.

[0052] Preferably, in one embodiment of the present invention, based on the difference between the maximum values ​​of the gas concentration anomaly factors between adjacent monitoring points and the distribution of the maximum values ​​at the corresponding time, the correlation of the gas concentration change is obtained, including the specific method of:

[0053] The first The maximum value of the abnormal gas concentration factor at all times at the monitoring point is recorded as The maximum concentration anomaly factor of each monitoring point, and the time corresponding to the maximum concentration anomaly factor is recorded as The maximum abnormal concentration of each monitoring point; all monitoring points are numbered from small to large along the ventilation direction (gas flow direction) in the ventilation system, and the correlation of gas concentration changes is The calculation method is:

[0054]

[0055] in, Indicates the number of monitoring points. Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, represents an exponential function with a natural constant as the base. In this embodiment, Model to present inverse proportional relationship and normalization, As the input of the model, the implementer can set the inverse proportional function and normalization function according to the actual situation.

[0056] It should be noted that, by comparing the difference changes between the maximum concentration anomaly factors of adjacent monitoring points along the ventilation direction and the corresponding changes in the maximum concentration anomaly moments, the closer the changes are, that is, the closer the ratio of the maximum concentration anomaly factor difference to the maximum concentration anomaly moment difference between two groups of adjacent monitoring points is to 1, the greater the impact of the gas concentration change at adjacent monitoring points along the ventilation direction, and the greater the correlation of gas concentration changes.

[0057] At this point, first of all, the abnormal conditions of gas concentration at each monitoring point at each time are preliminarily quantified based on the deviation between the gas concentration data at different times and the corresponding minimum value. At the same time, the deviations of different monitoring points at each time are quantified separately to avoid the problem of inaccurate abnormal quantification caused by the overall change of gas concentration at different times; then the maximum concentration anomaly factors of adjacent points are compared along the ventilation direction, and the differences between the corresponding maximum concentration anomaly times are analyzed, so as to quantify the correlation of gas concentration changes at different monitoring points, and take into account the influence of ventilation on gas diffusion in subsequent abnormal judgments.

[0058] Step S003: According to the difference and distribution of gas concentration anomaly factors at different monitoring points at the same time, the size and corresponding time distribution of the gas concentration anomaly factors at each monitoring point at different times, and the correlation of gas concentration changes, the degree of gas concentration anomaly at each monitoring point at each time is obtained.

[0059] It should be noted that during the release of gas, the concentration of gas will gradually tend to a stable level due to the ventilation system, and will not increase indefinitely; then when gas leaks at a certain place, it will only affect the gas concentration nearby at first, causing the gas concentration in the surrounding environment to gradually increase; as time goes by, the gas will slowly fill the entire mine tunnel, and the gas concentration at multiple monitoring points will increase significantly; at this time, if only the gas concentration anomaly factor is used to make a judgment, it will lead to misjudgment of the gas leakage at different monitoring points; therefore, it is necessary to analyze the diffusion of gas concentration based on the size judgment of the gas concentration anomaly factor, and it is necessary to consider the correlation of gas concentration changes and the corresponding time changes of the gas concentration anomaly factor to complete the final judgment of the gas concentration anomaly.

[0060] Specifically, for At this moment, obtain the positions of all monitoring points The monitoring point corresponding to the maximum value of the gas concentration anomaly factor at the moment The distance between the monitoring point and the monitoring point corresponding to the maximum value is recorded as Monitoring point No. The abnormal distance of gas concentration at the moment Monitoring point No. The abnormal degree of gas concentration at each moment The calculation method is:

[0061]

[0062] in, Represents the correlation of gas concentration changes, Indicates Monitoring point No. The abnormal gas concentration distance at a certain moment, Indicates Monitoring point No. The moment corresponding to the moment, Indicates The time corresponding to the minimum value of the gas concentration anomaly factor at all times at each monitoring point, Indicates Monitoring point No. The gas concentration anomaly factor at a moment, represents the absolute value function, Represents a linear normalization function, and the normalized object is all monitoring points at all times ; Obtain the abnormal degree of gas concentration at each monitoring point at each moment according to the above method.

[0063] It should be noted that, at the same time, the greater the distance of gas concentration anomaly and the smaller the correlation, the more likely the gas concentration anomaly monitored at the monitoring point is caused by itself, that is, when a gas leak occurs at the point corresponding to the maximum value of the gas concentration anomaly factor, as the gas diffusion distance increases, other points are less affected by it, and the greater the possibility of anomalies caused by gas leaks at other points themselves; at the same time, based on the larger the gas concentration anomaly factor, the smaller the difference between the current moment of the monitoring point and the moment corresponding to the minimum value of its gas concentration anomaly factor, the more likely the anomaly is to occur.

[0064] So far, on the basis of the gas concentration anomaly factor, based on the distance of gas diffusion at the monitoring point at the same moment, and combined with the correlation of gas concentration changes, the gas diffusion caused by ventilation in the working plane is considered, and the current moment of the monitoring point and the corresponding moment of its minimum gas concentration anomaly factor are combined for analysis, presenting the gas concentration anomaly of the monitoring point from both time and space perspectives.

[0065] Step S004: Based on the abnormal degree of gas concentration at each monitoring point at each moment, the gas concentration in the mine is monitored and an early warning is issued.

[0066] A gas concentration abnormality threshold is preset. In this embodiment, the gas concentration abnormality threshold is described as 0.74. For the current moment, i.e., the most recent moment, if the gas concentration abnormality of any monitoring point at the current moment is greater than or equal to the gas concentration abnormality threshold, it is necessary to alarm the monitoring point and perform ventilation in time to ensure that the gas concentration in the mine is within an appropriate range and to ensure the health and safety of coal miners.

[0067] At this point, this embodiment is completed.

[0068] Another embodiment of the present invention provides a mine underground environment monitoring system based on sensor data analysis, the system includes a memory, a processor, and a computer program stored in the memory and running on the processor, when the processor executes the computer program, the above method steps S001 to S004 are implemented.

[0069] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A mine underground environment monitoring method based on sensor data analysis, characterized in that: The method comprises the following steps: Sensors are deployed at several monitoring points in the mine to obtain gas concentration data at different monitoring points at several times; According to the changes and differences of gas concentration data at different monitoring points at different times, the gas concentration anomaly factor at each monitoring point at each time is obtained; based on the difference between the maximum values ​​of gas concentration anomaly factors between adjacent monitoring points and the distribution of the maximum values ​​at the corresponding time, the correlation of gas concentration changes is obtained; According to the difference and distribution of gas concentration anomaly factors at different monitoring points at the same time, the size and corresponding time distribution of gas concentration anomaly factors at different times at each monitoring point, and the correlation of gas concentration changes, the degree of gas concentration anomaly at each monitoring point at each time is obtained; Based on the abnormal degree of gas concentration at each monitoring point at each moment, the underground gas concentration in the mine is monitored and warned.

2. The method for monitoring underground mine environment based on sensor data analysis according to claim 1, characterized in that: The specific method of deploying sensors at several monitoring points in the mine includes: Ventilation equipment will be installed in the vertical shaft of the mine to form a gas channel between the vertical shaft and the working plane, and several gas concentration sensors will be arranged in the working plane.

3. The method for underground mine environment monitoring based on sensor data analysis according to claim 1, characterized in that: The specific method of obtaining the gas concentration anomaly factor at each monitoring point at each moment includes: The first The difference between the gas concentration data at the moment and the minimum value of the gas concentration data at all moments is recorded as Monitoring point No. The gas concentration deviation at a certain moment; According to the gas concentration offset at different monitoring points at the same time, the gas concentration anomaly factor at each monitoring point at each time is obtained.

4. The method for underground mine environment monitoring based on sensor data analysis according to claim 3 is characterized in that: The specific method of obtaining the gas concentration anomaly factor of each monitoring point at each moment according to the gas concentration offset at different monitoring points at the same moment is as follows: The first Monitoring point No. The gas concentration deviation at the moment is related to the gas concentration at all monitoring points. The ratio of the mean value of the gas concentration deviation at the moment is taken as the Monitoring point No. The gas concentration anomaly factor at a certain moment.

5. The method for underground mine environment monitoring based on sensor data analysis according to claim 1, characterized in that: The specific method for obtaining the gas concentration change correlation is as follows: The first The maximum value of the abnormal gas concentration factor at all times at the monitoring point is recorded as The maximum concentration anomaly factor of the monitoring point, and the time corresponding to the maximum concentration anomaly factor is recorded as The moment of maximum abnormal concentration at each monitoring point; number all monitoring points from small to large along the ventilation direction in the ventilation system; According to the difference in the maximum concentration anomaly factor and the maximum concentration anomaly time between adjacent monitoring points, the correlation of gas concentration changes is obtained.

6. The method for underground mine environment monitoring based on sensor data analysis according to claim 5, characterized in that: The specific method of obtaining the correlation of gas concentration changes according to the difference in maximum concentration anomaly factors and maximum concentration anomaly moments between adjacent monitoring points is as follows: in, Represents the correlation of gas concentration changes, Indicates the number of monitoring points. Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum concentration anomaly factor at each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, Indicates The maximum abnormal concentration moment of each monitoring point, Represents an exponential function with a natural constant as its base.

7. The method for underground mine environment monitoring based on sensor data analysis according to claim 1, characterized in that: The specific method of obtaining the abnormal degree of gas concentration at each monitoring point at each moment includes: Get all monitoring points The monitoring point corresponding to the maximum value of the gas concentration anomaly factor at the moment The distance between the monitoring point and the monitoring point corresponding to the maximum value is recorded as Monitoring point No. The abnormal distance of gas concentration at a certain moment; According to the gas concentration anomaly distance, gas concentration anomaly factor, the size of the gas concentration factor at different times at the same monitoring point and the corresponding time distribution, as well as the correlation of gas concentration changes, the degree of gas concentration anomaly at each monitoring point at each moment is obtained.

8. The method for underground mine environment monitoring based on sensor data analysis according to claim 7, characterized in that: The method of obtaining the abnormal degree of gas concentration at each monitoring point at each moment according to the abnormal distance of gas concentration, the abnormal factor of gas concentration, the size of the gas concentration factor at different moments of the same monitoring point and the corresponding time distribution, and the correlation of gas concentration changes includes: in, Indicates Monitoring point No. The abnormal degree of gas concentration at a certain moment, Represents the correlation of gas concentration changes, Indicates Monitoring point No. The abnormal gas concentration distance at a certain moment, Indicates Monitoring point No. The moment corresponding to the moment, Indicates The time corresponding to the minimum value of the gas concentration anomaly factor at all times at each monitoring point, Indicates Monitoring point No. The gas concentration anomaly factor at a moment, represents the absolute value function, Represents the normalization function.

9. The method for underground mine environment monitoring based on sensor data analysis according to claim 1, characterized in that: The specific methods for monitoring and early warning the gas concentration in the mine include: A gas concentration abnormality threshold is preset. If the gas concentration abnormality of any monitoring point at the current moment is greater than or equal to the gas concentration abnormality threshold, an alarm will be issued for the monitoring point.

10. A mine underground environment monitoring system based on sensor data analysis, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the mine underground environment monitoring method based on sensor data analysis as described in any one of claims 1-9 are implemented.

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