Coal mine tunnel surrounding rock stability monitoring and early warning method and device

Abstract

The present disclosure provides a coal mine roadway surrounding rock stability monitoring and early warning method and device, which relates to the technical field of roadway safety monitoring. Obtain multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations of the roadway in the current monitoring cycle; determine multiple parameter values ​​corresponding to each monitoring indicator of each measuring station based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station; determine the parameter threshold of each parameter value of each monitoring indicator; determine the risk level corresponding to each monitoring indicator of each measuring station based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station; determine the risk level distribution of the roadway based on the risk level corresponding to each monitoring indicator of each measuring station. In this way, scientific monitoring and early warning of roadway surrounding rock instability is realized, and the timeliness and accuracy of monitoring and early warning of coal mine roadway surrounding rock stability are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of tunnel safety monitoring, and in particular to a method and device for monitoring and early warning of surrounding rock stability in a coal mine tunnel. Background Art

[0002] Among the current coal mine safety accidents, tunnel roof accidents account for a relatively high proportion. Due to the strong concealment of tunnel roof accidents, most tunnel roof accidents have no particularly significant signs before the roof collapse, which greatly affects the safety level of coal mine production. However, in the existing technology, since the tunnel stability monitoring method mainly relies on the monitoring value of the sensor for early warning, the early warning indicator is relatively single and cannot accurately and timely warn of tunnel roof accidents, which seriously affects the safety of coal mine production. How to provide a coal mine tunnel surrounding rock stability monitoring and early warning method that can accurately and timely warn of tunnel roof accidents and improve the safety level of coal mine production is a problem that needs to be solved urgently. Summary of the invention

[0003] The present invention provides a coal mine tunnel surrounding rock stability monitoring and early warning method and device.

[0004] According to one aspect of the present disclosure, a method for monitoring and early warning of surrounding rock stability of a coal mine roadway is provided, comprising:

[0005] Obtain multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations in the lane in the current monitoring cycle;

[0006] Based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, determine the multiple parameter values ​​corresponding to each monitoring indicator of each measuring station;

[0007] Determining a parameter threshold value for each parameter value of each of the monitoring indicators;

[0008] Determine the risk level corresponding to each monitoring indicator of each monitoring station based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each monitoring station;

[0009] Based on the risk level corresponding to each monitoring indicator of each of the measuring stations, the risk level distribution of the tunnel is determined.

[0010] According to another aspect of the present disclosure, a coal mine tunnel surrounding rock stability monitoring and early warning device is proposed, comprising:

[0011] An acquisition module, used to acquire multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations in the lane in the current monitoring cycle;

[0012] A first determination module, configured to determine a plurality of parameter values ​​corresponding to each monitoring indicator of each monitoring station based on a plurality of monitoring values ​​of each monitoring indicator and historical monitoring data of each monitoring station;

[0013] A second determination module is used to determine a parameter threshold value of each parameter value of each monitoring indicator;

[0014] A third determination module is used to determine the risk level corresponding to each monitoring indicator of each monitoring station based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each monitoring station;

[0015] The fourth determination module is used to determine the risk level distribution of the tunnel based on the risk level corresponding to each monitoring indicator of each of the measuring stations.

[0016] According to another aspect of the present disclosure, there is provided an electronic device, comprising:

[0017] at least one processor;

[0018] and, a memory communicatively coupled to the at least one processor;

[0019] The memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can execute the method of the above embodiment.

[0020] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable a computer to execute the method of the above embodiment.

[0021] The present disclosure provides a coal mine roadway surrounding rock stability monitoring and early warning method and device. First, multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations in the roadway in the current monitoring cycle are obtained, and then based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, multiple parameter values ​​corresponding to each monitoring indicator of each measuring station are determined, and then the parameter threshold of each parameter value of each monitoring indicator is determined, and based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, the risk level corresponding to each monitoring indicator of each measuring station is determined, and finally, based on the risk level corresponding to each monitoring indicator of each measuring station, the risk level distribution of the roadway is determined. Thus, by grading the risk degree of each parameter value of each monitoring indicator of each measuring station in the roadway, the risk level distribution of the roadway is determined, thereby realizing scientific monitoring and early warning of roadway surrounding rock instability, and improving the timeliness and accuracy of coal mine roadway surrounding rock stability monitoring and early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0023] Figure 1 A schematic diagram of a flow chart of a coal mine tunnel surrounding rock stability monitoring and early warning method provided by an embodiment of the present disclosure;

[0024] Figure 2 A schematic diagram of a flow chart of a coal mine tunnel surrounding rock stability monitoring and early warning method provided by an embodiment of the present disclosure;

[0025] Figure 3 A schematic diagram of a flow chart of a coal mine tunnel surrounding rock stability monitoring and early warning method provided by an embodiment of the present disclosure;

[0026] Figure 4 A schematic diagram of a flow chart of a coal mine tunnel surrounding rock stability monitoring and early warning method provided by an embodiment of the present disclosure;

[0027] Figure 5 A schematic diagram of a flow chart of a coal mine tunnel surrounding rock stability monitoring and early warning method provided by an embodiment of the present disclosure;

[0028] Figure 6 A schematic diagram of a visualization display of a coal mine tunnel surrounding rock stability monitoring and early warning method provided by an embodiment of the present disclosure;

[0029] Figure 7 A schematic diagram of the structure of a coal mine tunnel surrounding rock stability monitoring and early warning device provided in an embodiment of the present disclosure;

[0030] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure.

[0031] The above drawings show clear embodiments of the present disclosure, which will be described in more detail below. These drawings and text descriptions are not intended to limit the scope of the present disclosure in any way, but to illustrate the concepts of the present disclosure to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0032] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0033] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this disclosure are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0034] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution disclosed in this disclosure are in compliance with the relevant provisions of national laws and regulations.

[0035] It should be noted that in the embodiments of the present disclosure, certain software, components, models and other existing solutions in the industry may be mentioned, which should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present disclosure, but it does not mean that the applicant has or will necessarily use the solution.

[0036] The coal mine tunnel surrounding rock stability monitoring and early warning method and device of the disclosed embodiment are described in detail below with reference to the accompanying drawings.

[0037] Figure 1 A schematic flow chart of a method for monitoring and early warning of coal mine tunnel surrounding rock stability provided in an embodiment of the present disclosure.

[0038] like Figure 1 As shown, the method includes:

[0039] Step 101 : obtaining a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations in the lane in a current monitoring cycle.

[0040] It should be noted that the tunnel may be a tunnel in the excavation period, or a tunnel in the mining period, or a tunnel in the stabilization period, etc., and the present disclosure does not limit this.

[0041] It should be noted that the distance between adjacent measuring stations in a plurality of continuous measuring stations of a lane may be determined according to actual conditions. For example, the distance between adjacent measuring stations may be 100 to 200 meters, etc., and the present disclosure does not impose any limitation on this.

[0042] It should be noted that each measuring station can be provided with multiple types of sensors within a preset range (such as 10 to 30 meters, etc.) of a preset section, and the number of sensors of each type can be set as needed, which can be 1 or more. For example, the type of sensor can be a roof delamination instrument, an anchor dynamometer, an anchor cable dynamometer, a laser displacement meter, etc., which is not limited in the present disclosure.

[0043] It should be noted that the installation position of the sensor in each measuring station can be determined according to actual needs. For example, a laser displacement meter can be installed on the top plate and the right side of the tunnel to measure the displacement of the top plate and the displacement of the two sides, an anchor dynamometer can be installed on the two sides of the tunnel and the top plate to measure the anchor load of the two sides and the anchor load of the top plate, and a roof delamination meter can be installed at the shallow position and deep position of the roof to measure the shallow delamination and deep delamination of the roof, etc. This disclosure does not limit this.

[0044] The length of the monitoring period can be set according to the basic law of tunnel deformation. For example, the monitoring period can be 8 hours, 24 hours, 48 ​​hours, etc., which is not limited in the present disclosure.

[0045] Among them, the monitoring indicators can be determined according to actual needs. For example, the monitoring indicators can be roof sinking, two sides moving closer, roof separation (including shallow separation and deep separation), anchor load, anchor cable load and other indicators of the tunnel, which are not limited in this disclosure.

[0046] The monitoring value may be obtained by real-time collection of sensors installed in the measuring station.

[0047] In the present disclosure, when obtaining the monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations in the lane in the current monitoring period, since the sensors arranged in the measuring stations usually perform multiple acquisitions based on the acquisition frequency, and the number of sensors of the same type may be multiple, multiple monitoring values ​​of each monitoring indicator of each measuring station can usually be obtained, wherein the acquisition frequency can be set as needed, for example, the acquisition frequency can be set to collect once every 10 minutes, or 30 minutes, or 60 minutes, etc., and the present disclosure does not limit this.

[0048] In some possible implementation forms, when obtaining multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations in the tunnel during the current monitoring cycle, basic attributes of the tunnel such as the tunnel code, name, daily excavation distance, and working face affected by mining can also be obtained. The present disclosure does not limit this.

[0049] In some possible implementation forms, when obtaining multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations in the tunnel during the current monitoring period, since the recovery of the working face may affect the stability of the tunnel, the recovery working face can also be managed, including the working face coding, total length, daily footage and other attributes, which is not limited in this disclosure.

[0050] Step 102: Based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each monitoring station, multiple parameter values ​​corresponding to each monitoring indicator of each monitoring station are determined.

[0051] The parameter value may include the change value, change speed, change acceleration, etc. of the monitoring value of the monitoring indicator, which is not limited in the present disclosure.

[0052] The historical monitoring data may include the monitoring value and parameter value of each monitoring indicator corresponding to the historical monitoring period of each monitoring station, etc.

[0053] In the present disclosure, after obtaining multiple monitoring values ​​corresponding to each monitoring indicator at each measuring station in the tunnel during the current monitoring period, in order to accurately determine the evolution trend of the tunnel surrounding rock state and to improve the timeliness and reliability of monitoring, it is possible to first determine the multiple parameter values ​​corresponding to each monitoring indicator of each measuring station based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station.

[0054] Step 103, determining the parameter threshold of each parameter value of each monitoring indicator.

[0055] Among them, the parameter threshold can be a critical value of the parameter value used to determine the risk level of the parameter value, which can be pre-set, or can also be determined based on historical experience, or can also be determined based on actual needs, and the present disclosure does not limit this.

[0056] It should be noted that the parameter thresholds corresponding to each parameter value may be different or the same. For example, the change speed threshold and the change acceleration threshold of the top plate sinking may both be 0.5, and the change value threshold may be 30, etc., and the present disclosure does not limit this.

[0057] It should be noted that, for different monitoring indicators, the parameter thresholds corresponding to the same parameter value may be different, or may be the same, and the present disclosure does not limit this.

[0058] In the present disclosure, after determining the multiple parameter values ​​corresponding to each monitoring indicator of each measuring station, in order to determine the risk level of each parameter value, the parameter threshold of each parameter value of each monitoring indicator can be first determined.

[0059] Step 104 , based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, determine the risk level corresponding to each monitoring indicator of each measuring station.

[0060] The risk level may be preset or determined according to actual needs. For example, the risk level may include four levels, namely, safety level, abnormal level, danger level and high danger level, and the corresponding degree of danger increases accordingly, which is not limited in the present disclosure.

[0061] In the present disclosure, after determining the parameter threshold of each parameter value of each monitoring indicator, based on the parameter threshold, the risk level of each parameter value of each monitoring indicator of each measuring station can be first determined, and then the risk level of each monitoring indicator of each measuring station can be determined according to the risk level of each parameter value of each monitoring indicator, so that the risk degree of instability of the surrounding rock of the tunnel can be accurately and timely obtained, providing conditions for reducing the probability of tunnel roof accidents.

[0062] Step 105 , based on the risk level corresponding to each monitoring indicator of each measuring station, determine the risk level distribution of the tunnel.

[0063] In the present disclosure, after determining the risk level corresponding to each monitoring indicator of each measuring station, the risk level distribution of the tunnel can be determined based on the risk level corresponding to each monitoring indicator of each measuring station, thereby realizing graded and regional monitoring and early warning of the instability risk of the tunnel surrounding rock, realizing scientific early warning of tunnel surrounding rock disasters, and effectively reducing the probability of tunnel instability accidents.

[0064] In some possible implementation forms, when determining the risk level distribution of the tunnel based on the risk level corresponding to each monitoring indicator of each measuring station, the coal mine tunnel surrounding rock stability monitoring and early warning method provided by the present invention can also support real-time query of the monitoring data of the sensors included in each measuring station in the tunnel, so that relevant personnel can obtain the monitoring data of the tunnel in a timely manner, so as to quickly perform corresponding processing and effectively reduce the probability of tunnel instability.

[0065] In some possible implementation forms, when determining the risk level distribution of the tunnel based on the risk level corresponding to each monitoring indicator of each measuring station, the coal mine tunnel surrounding rock stability monitoring and early warning method provided by the present invention can also provide the change trend of the historical data of each monitoring indicator of each measuring station in the tunnel, thereby improving the accuracy and timeliness of the tunnel surrounding rock instability monitoring and early warning.

[0066] In the disclosed embodiment, firstly, a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations of the roadway in the current monitoring cycle are obtained, and then, based on the plurality of monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, a plurality of parameter values ​​corresponding to each monitoring indicator of each measuring station are determined, and then the parameter threshold of each parameter value of each monitoring indicator is determined, and based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, the risk level corresponding to each monitoring indicator of each measuring station is determined, and finally, based on the risk level corresponding to each monitoring indicator of each measuring station, the risk level distribution of the roadway is determined. Thus, by grading the risk degree of each parameter value of each monitoring indicator of each measuring station of the roadway, the risk level distribution of the roadway is determined, thereby realizing scientific monitoring and early warning of roadway surrounding rock instability, and improving the timeliness and accuracy of monitoring and early warning of surrounding rock stability of coal mine roadways.

[0067] Figure 2 A schematic flow chart of a method for monitoring and early warning of coal mine tunnel surrounding rock stability provided in an embodiment of the present disclosure.

[0068] like Figure 2 As shown, the method includes:

[0069] Step 201 : obtaining a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations in the lane in a current monitoring cycle.

[0070] The specific implementation form of step 201 can refer to the detailed description in other embodiments of the present disclosure, and will not be described in detail here.

[0071] Step 202: determine a first median of the monitoring value of each monitoring indicator of each measuring station based on a plurality of monitoring values ​​corresponding to each monitoring indicator of each measuring station.

[0072] In the present disclosure, after obtaining multiple monitoring values ​​corresponding to each monitoring indicator of each monitoring station, in order to accurately and reliably determine the changing trend of the monitoring indicator, the first median of the monitoring value of each monitoring indicator of the corresponding monitoring station can be first determined based on the multiple monitoring values ​​of each monitoring indicator.

[0073] Step 203, based on the first median of each monitoring indicator of each measuring station and the second median of each monitoring indicator of each measuring station corresponding to the first preset number of monitoring periods adjacent to the current monitoring period, determine the change value and change speed of each monitoring indicator of each measuring station corresponding to the current monitoring period.

[0074] The preset number may be pre-set or may be determined according to actual needs. For example, the preset number may be 1 or 2, which is not limited in the present disclosure.

[0075] In the present disclosure, when determining the change value of each monitoring indicator of each station corresponding to the current monitoring cycle, the second median of each monitoring indicator of each station corresponding to the previous monitoring cycle adjacent to the current monitoring cycle can be first obtained, and then the first median of each monitoring indicator is subtracted from the second median of the corresponding monitoring indicator of the corresponding station to obtain the change value of each monitoring indicator of each station corresponding to the current monitoring cycle. The present disclosure does not limit this.

[0076] In the present disclosure, when determining the change speed of each monitoring indicator of each measuring station corresponding to the current monitoring cycle, the second median of each monitoring indicator of each measuring station corresponding to the first two monitoring cycles adjacent to the current monitoring cycle can be first obtained, and then the first median of each monitoring indicator is linearly fitted with the second median of the corresponding monitoring indicator of the corresponding measuring station corresponding to the first two cycles. The slope of the straight line is the change speed of each monitoring indicator of each measuring station corresponding to the current monitoring cycle, and the present disclosure does not limit this.

[0077] Generally, the essence of coal mine roadway roof instability is that the speed of destruction and deformation of the coal rock mass after being subjected to stress is not fixed. It may be sudden, dynamic destruction, or it may be slowly accumulated destruction. In addition, the changing speed of the monitoring indicators can reflect the changing trend of the roadway roof. Therefore, in the present disclosure, by determining the change value and change speed of each detection indicator of each measuring station corresponding to the current monitoring period, it is possible to timely capture large changes in the roof in a short period of time and obtain the changing trend of the roof, thereby providing a data basis for monitoring and early warning of coal mine roadway surrounding rock stability.

[0078] It should be noted that when the monitoring indicators are anchor rod load and anchor cable load, the corresponding change rate may be gradually increasing, or it may be gradually decreasing. Since the change rate can reflect the changing trend of the top plate state, whether it is an increasing or decreasing trend, relatively uniform and rapid changes have certain risks, and the present disclosure does not limit this.

[0079] Step 204, based on the change speed of each monitoring indicator of each measuring station in the current monitoring cycle and the change speed of each monitoring indicator of each measuring station corresponding to the previous preset number of monitoring cycles, determine the change acceleration of each monitoring indicator of each measuring station corresponding to the current monitoring cycle.

[0080] In the present disclosure, after determining the change value and change speed of each monitoring indicator of each measuring station corresponding to the current monitoring cycle, although the risk level of a relatively uniform and slow change speed of the monitoring indicators is relatively low, the slow and accelerating change trend of the monitoring indicators is often the beginning of the gradual acceleration of roof deformation and destruction, which may cause sudden instability. Therefore, it is also necessary to determine the change acceleration of each monitoring indicator. At this time, the change speed of each monitoring indicator of each measuring station in the current monitoring cycle and the change speed of the corresponding monitoring indicators of the corresponding measuring stations corresponding to the previous preset number (such as 2) monitoring cycles can be linearly fitted to determine the change acceleration of each detection indicator of each measuring station corresponding to the current monitoring cycle. The present disclosure does not limit this.

[0081] It should be noted that when the monitoring indicators are the anchor rod load and the anchor cable load, whether they are increasing or decreasing at an accelerated rate, they are all signs of accelerated destruction of the tunnel surrounding rock and early warning is required. This disclosure does not limit this.

[0082] Step 205 , determining the monitoring value, change value, change speed and change acceleration of each monitoring indicator of each monitoring station in the current monitoring period at the current moment as multiple parameter values ​​of the corresponding monitoring indicator of each monitoring station.

[0083] In the present disclosure, after determining the change value, change speed and change acceleration of each monitoring indicator of each measuring station in the current monitoring cycle, the monitoring value, change value, change speed and change acceleration of each detection indicator at the current moment can be determined as multiple parameter values ​​of the corresponding monitoring indicator of the corresponding measuring station, thereby providing a data basis for monitoring and early warning of coal mine tunnel surrounding rock stability.

[0084] Step 206, determining the parameter threshold of each parameter value of each monitoring indicator.

[0085] Step 207 : determining the risk level corresponding to each monitoring indicator of each monitoring station based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each monitoring station.

[0086] Step 208, determining the risk level distribution of the tunnel based on the risk level corresponding to each monitoring indicator of each measuring station.

[0087] The specific implementation forms of steps 206 to 208 may refer to the detailed descriptions in other embodiments of the present disclosure, and will not be described in detail here.

[0088] In the embodiment of the present disclosure, firstly, a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of consecutive measuring stations of the lane in the current monitoring cycle are obtained, and based on the plurality of monitoring values ​​corresponding to each monitoring indicator of each measuring station, a first median of the monitoring value of each monitoring indicator of each measuring station is determined, and then based on the first median of each monitoring indicator of each measuring station and the second median of each monitoring indicator of each measuring station corresponding to a previous preset number of monitoring cycles adjacent to the current monitoring cycle, a change value and a change speed of each monitoring indicator of each measuring station corresponding to the current monitoring cycle are determined, and based on the change speed of each monitoring indicator of each measuring station in the current monitoring cycle and the second median of each monitoring indicator of each measuring station corresponding to a previous preset number of monitoring cycles adjacent to the current monitoring cycle, a change value and a change speed of each monitoring indicator of each measuring station corresponding to the current monitoring cycle are determined. The change speed of each monitoring indicator of each measuring station corresponding to the period is determined, and the change acceleration of each monitoring indicator of each measuring station corresponding to the current monitoring period is determined. Then, the monitoring value, change value, change speed and change acceleration of each monitoring indicator of each measuring station in the current monitoring period at the current moment are determined as multiple parameter values ​​of the corresponding monitoring indicator of each measuring station, and the parameter threshold of each parameter value of each monitoring indicator is determined. Based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, the risk level corresponding to each monitoring indicator of each measuring station is determined. Finally, based on the risk level corresponding to each monitoring indicator of each measuring station, the risk level distribution of the lane is determined. Therefore, through the historical data of each detection indicator of each measuring station in the previous preset number of monitoring cycles adjacent to the current monitoring cycle, the change value, change speed and change acceleration of each monitoring indicator of each measuring station in the current monitoring cycle are determined, and the monitoring value, change value, change speed and change acceleration of each monitoring indicator at the current moment are determined as corresponding multiple parameter values, and based on the parameter threshold of each parameter value, the risk level of the corresponding monitoring indicator of the corresponding measuring station is determined, and the risk level distribution of the roadway is further determined, thereby realizing the determination of the evolution trend of the roadway surrounding rock based on the defense trend of the detection indicator, and improving the anticipation and accuracy of coal mine roadway surrounding rock stability monitoring and early warning.

[0089] Figure 3 A schematic flow chart of a method for monitoring and early warning of coal mine tunnel surrounding rock stability provided in an embodiment of the present disclosure.

[0090] like Figure 3 As shown, the method includes:

[0091] Step 301 : obtaining a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations in the lane in a current monitoring cycle.

[0092] Step 302: Based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, multiple parameter values ​​corresponding to each monitoring indicator of each measuring station are determined.

[0093] The specific implementation forms of step 301 to step 302 can refer to the detailed descriptions in other embodiments of the present disclosure, and will not be described in detail here.

[0094] Step 303, determine the service range of the lane and the stage it is in.

[0095] Among them, the service scope of the tunnel can be the service scope of the entire mine, or it can also be the service scope of a mining area or more than two working faces, or it can also be the service scope of a mining working face, etc., which is not limited in this disclosure.

[0096] It should be noted that, according to the service scope of the tunnel, the tunnel can be divided into development tunnels, mining tunnels, and recovery tunnels, and the present disclosure does not limit this.

[0097] The stage of the tunnel may be the excavation period, the stabilization period, the mining period, etc., which is not limited in the present disclosure.

[0098] In the present disclosure, after determining the multiple parameter values ​​corresponding to each monitoring indicator of each measuring station, in order to improve the accuracy of monitoring and early warning of tunnel surrounding rock stability, the service scope and stage of the tunnel can be determined first, thereby providing conditions for accurately and reliably determining the risk level of each monitoring indicator of each measuring station.

[0099] Step 304: Determine a first parameter threshold for each parameter value corresponding to each monitoring indicator based on the service scope and stage.

[0100] Among them, the first parameter threshold can be used as a critical value of the parameter value for risk classification of the parameter value, which can be pre-set or determined according to actual needs, and the present disclosure does not limit this.

[0101] In the present disclosure, after determining the service scope and stage of the lane, the first parameter threshold corresponding to each parameter value of each detection indicator can be determined based on the service scope and stage of the lane, thereby providing conditions for determining the risk level of the corresponding parameter value.

[0102] Step 305, based on the proportional coefficient corresponding to each parameter value of each monitoring indicator and the corresponding first parameter threshold, determine the second parameter threshold corresponding to each parameter value of each monitoring indicator, wherein the proportional coefficient is greater than 0 and less than 1.

[0103] The proportionality coefficient may be preset or determined according to actual needs. Different monitoring indicators may have different proportionality coefficients for corresponding parameter values, or they may be the same. For example, the proportionality coefficient may be 0.8, which is not limited in the present disclosure.

[0104] The second parameter threshold may be a parameter value critical value for risk grading of the parameter value, which is smaller than the corresponding first parameter threshold.

[0105] In the present disclosure, after determining the first parameter threshold of each parameter value of each monitoring indicator, in order to classify the risk level of the parameter value and improve the accuracy of the determined risk level, the second parameter threshold corresponding to each parameter value of each monitoring indicator can be determined based on the proportional coefficient corresponding to each parameter value of each monitoring indicator and the corresponding first parameter threshold. For example, if the first parameter threshold is A and the proportional coefficient is 0.8, then the second parameter threshold B is 0.8A, and the present disclosure does not limit this.

[0106] Step 306: determine the relationship between each parameter value of each monitoring indicator of each measuring station and the corresponding second parameter threshold value and / or the corresponding first parameter threshold value.

[0107] In the present disclosure, after determining the first parameter threshold and the second parameter threshold of each parameter value of each monitoring indicator, in order to determine the risk level of each parameter value of each monitoring indicator of each measuring station, the relationship between each parameter value of each monitoring indicator of each measuring station and the corresponding first parameter threshold and / or the corresponding second parameter threshold can be first determined. For example, the parameter value can be less than the corresponding second parameter threshold, or greater than or equal to the second parameter threshold and less than the first parameter threshold, or greater than or equal to the first parameter threshold, and the present disclosure does not limit this.

[0108] Step 307: Based on the relationship, determine the risk level of the corresponding parameter value of the corresponding monitoring indicator of the corresponding measuring station.

[0109] In the present disclosure, after determining the relationship between each parameter value of each monitoring indicator of each measuring station and the corresponding second parameter threshold and / or the corresponding first parameter threshold, the risk degree of each parameter value of each monitoring indicator of each measuring station can be graded based on the relationship, and the corresponding risk level can be determined, thereby improving the accuracy of coal mine tunnel surrounding rock stability monitoring and early warning.

[0110] It should be noted that when determining the risk level of each parameter value of each monitoring indicator of each measuring station based on the relationship, the risk level can be determined according to a preset corresponding relationship, or it can also be determined according to historical experience or actual needs. The present disclosure does not limit this.

[0111] In some possible implementation forms, the risk level of the parameter value that is less than the corresponding second parameter threshold among the multiple parameter values ​​of each monitoring indicator can be determined as the safety level, wherein the multiple parameter values ​​include the monitoring value, change value, change speed and change acceleration of each monitoring indicator at the current moment, and the present disclosure does not limit this.

[0112] In some possible implementation forms, in addition to the changing acceleration of the roof sinking of the tunnel and the changing acceleration of the roof separation (which may include shallow separation and deep separation), the risk level of each parameter value of other monitoring indicators, the other parameter values ​​corresponding to the roof sinking and the roof separation except the changing acceleration, which is greater than the corresponding second parameter threshold and less than or equal to the corresponding first parameter threshold, can be determined as an abnormal level. The present disclosure does not limit this.

[0113] In some possible implementation forms, the risk level of the change acceleration corresponding to the roof sinking and roof separation of the tunnel, which is greater than the corresponding second parameter threshold and less than or equal to the corresponding first parameter threshold, can also be determined as a dangerous level. The present disclosure does not limit this.

[0114] In some possible implementation forms, in addition to the changing acceleration of the roof sinking and the changing acceleration of the roof separation in the tunnel, the risk level of each parameter value of other monitoring indicators, and the other parameter values ​​corresponding to the roof sinking and the roof separation except the changing acceleration, which is greater than the corresponding first parameter threshold, can be determined as a danger level. The present disclosure does not limit this.

[0115] In some possible implementation forms, the risk level of the change acceleration corresponding to the top plate lower layer and the top plate separation layer, which is greater than the corresponding first parameter threshold, can also be determined as a high-risk level, and the present disclosure does not limit this.

[0116] Step 308: Among the risk levels corresponding to each parameter value of each monitoring indicator of each measuring station, the highest risk level is determined as the risk level of the corresponding monitoring indicator.

[0117] In the present disclosure, after determining the risk level corresponding to each parameter value of each monitoring indicator of each measuring station, in order to provide effective advance warning of the risk of instability of the surrounding rock of the tunnel, the highest risk level among the risk levels corresponding to each parameter value of each monitoring indicator of each measuring station can be used as the risk level of the corresponding monitoring indicator.

[0118] Step 309: Determine the risk level distribution of the tunnel based on the risk level corresponding to each monitoring indicator of each measuring station.

[0119] The specific implementation of step 309 can be referred to the detailed description in other embodiments of the present disclosure, and will not be described in detail here.

[0120] In the disclosed embodiment, firstly, a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations of the lane in the current monitoring cycle are obtained, and based on the plurality of monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, a plurality of parameter values ​​corresponding to each monitoring indicator of each measuring station are determined, then the service scope and the stage of the lane are determined, and based on the service scope and the stage, a first parameter threshold of each parameter value corresponding to each monitoring indicator is determined, and based on the proportional coefficient corresponding to each parameter value of each monitoring indicator and the corresponding first parameter threshold, a second parameter threshold corresponding to each parameter value of each monitoring indicator is determined, and then the relationship between each parameter value of each monitoring indicator of each measuring station and the corresponding second parameter threshold and / or the corresponding first parameter threshold is determined, and based on the relationship, the risk level of the corresponding parameter value of the corresponding monitoring indicator of the corresponding measuring station is determined, and finally, among the risk levels corresponding to each parameter value of each monitoring indicator of each measuring station, the highest risk level is determined as the risk level of the corresponding monitoring indicator, and based on the risk level corresponding to each monitoring indicator of each measuring station, the risk level distribution of the lane is determined. Therefore, after determining the multiple parameter values ​​corresponding to each monitoring indicator of each measuring station in the current monitoring period, the first parameter threshold and the second parameter threshold corresponding to each parameter value of each monitoring indicator are determined according to the service scope of the roadway, the stage it is in, and the proportional coefficient of each monitoring indicator, and the relationship between the parameter threshold and the corresponding parameter value of the corresponding monitoring indicator of each measuring station is determined. Based on the relationship, the risk level of the corresponding parameter value of the corresponding monitoring indicator of the corresponding measuring station is determined, and the highest risk level corresponding to each parameter value of each monitoring indicator is determined as the risk level of the corresponding monitoring indicator, so as to determine the risk level distribution of the roadway, thereby improving the accuracy and timeliness of the coal mine roadway surrounding rock stability monitoring and early warning method.

[0121] Figure 4 A schematic flow chart of a method for monitoring and early warning of coal mine tunnel surrounding rock stability provided in an embodiment of the present disclosure.

[0122] like Figure 4 As shown, the method includes:

[0123] Step 401 : obtaining a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations in the lane in a current monitoring cycle.

[0124] Step 402: Based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each monitoring station, multiple parameter values ​​corresponding to each monitoring indicator of each monitoring station are determined.

[0125] Step 403, determining the parameter threshold of each parameter value of each monitoring indicator.

[0126] Step 404 , based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, determine the risk level corresponding to each monitoring indicator of each measuring station.

[0127] The specific implementation forms of steps 401 to 404 can refer to the detailed descriptions in other embodiments of the present disclosure, and will not be described in detail here.

[0128] Step 405: Among the risk levels corresponding to each monitoring indicator of each measuring station, the highest risk level is determined as the risk level of the corresponding measuring station.

[0129] In the present disclosure, after determining the risk level corresponding to each monitoring indicator of each measuring station, in order to minimize the probability of coal mine roadway roof accidents, the highest risk level among the risk levels corresponding to each monitoring indicator of each measuring station can be determined as the risk level of the corresponding measuring station. For example, the risk levels of each monitoring indicator of a certain measuring station are safety level, abnormality level and danger level, respectively. At this time, the danger level can be determined as the risk level of the corresponding measuring station, and the present disclosure does not limit this.

[0130] Step 406: Based on the risk levels corresponding to the two adjacent measuring stations, the risk level distribution of the middle area between the two adjacent measuring stations is determined.

[0131] In the present disclosure, after determining the risk level corresponding to each measuring station, in order to obtain the risk level distribution of the tunnel, the risk level distribution of the middle area between the two adjacent measuring stations can be first determined based on the risk levels corresponding to the two adjacent measuring stations.

[0132] In some possible implementation forms, when determining the risk level distribution of the middle area between two adjacent measuring stations based on the risk levels corresponding to the two adjacent measuring stations, the parameter value difference can be performed in the middle area corresponding to the two adjacent measuring stations based on the parameter values ​​of the risk levels corresponding to the two adjacent measuring stations, and the risk level with the highest degree of danger at the same location is determined as the risk level at that location. The present disclosure is not limited to this.

[0133] In some possible implementation forms, when determining the risk level distribution of the middle area between two adjacent measuring stations based on the risk levels corresponding to the two adjacent measuring stations, it is also possible to first determine that different risk levels correspond to different visual display colors, and then perform color interpolation in the middle area corresponding to the two adjacent measuring stations based on the display colors of the risk levels of the two adjacent measuring stations, so as to determine the color distribution of the middle area between the two adjacent measuring stations, that is, the risk level distribution, which is not limited to the present disclosure.

[0134] Step 407, based on the risk level of each measuring station and the risk level distribution of the middle area, determine the risk level distribution of the tunnel.

[0135] In the present disclosure, after determining the risk level distribution of the middle area between two adjacent measuring stations, the risk level distribution of the lane can be determined based on the risk level of each measuring station and the risk level distribution of the middle area, thereby improving the reliability of the determined lane risk level distribution.

[0136] In the disclosed embodiment, first, multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations of the lane in the current monitoring period are obtained, and based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, multiple parameter values ​​corresponding to each monitoring indicator of each measuring station are determined, and then the parameter threshold of each parameter value of each monitoring indicator is determined, and based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, the risk level corresponding to each monitoring indicator of each measuring station is determined, and then the highest risk level among the risk levels corresponding to each monitoring indicator of each measuring station is determined as the risk level of the corresponding measuring station, and based on the risk levels corresponding to the two adjacent measuring stations, the risk level distribution of the middle area between the two adjacent measuring stations is determined, and finally, based on the risk level of each measuring station and the risk level distribution of the middle area, the risk level distribution of the lane is determined. Therefore, after determining the risk level corresponding to each monitoring indicator of each measuring station in the roadway, the highest risk level among the risk levels corresponding to each monitoring indicator of each measuring station is determined as the risk level of the corresponding measuring station. Based on the risk levels of two adjacent measuring stations, the risk level distribution of the middle area between the two adjacent measuring stations is determined, and the risk level distribution of the roadway is obtained, thereby improving the reliability of the coal mine roadway surrounding rock stability monitoring and early warning method.

[0137] Figure 5 A schematic flow chart of a method for monitoring and early warning of coal mine tunnel surrounding rock stability provided in an embodiment of the present disclosure.

[0138] like Figure 5 As shown, the method includes:

[0139] Step 501 : obtaining a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations in the lane in a current monitoring cycle.

[0140] Step 502: Based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, multiple parameter values ​​corresponding to each monitoring indicator of each measuring station are determined.

[0141] Step 503, determining the parameter threshold of each parameter value of each monitoring indicator.

[0142] Step 504 , based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, determine the risk level corresponding to each monitoring indicator of each measuring station.

[0143] Step 505: Determine the risk level distribution of the tunnel based on the risk level corresponding to each monitoring indicator of each measuring station.

[0144] The specific implementation forms of steps 501 to 505 can refer to the detailed descriptions in other embodiments of the present disclosure, and will not be described in detail here.

[0145] Step 506, based on preset requirements, display the risk level distribution of the lanes.

[0146] The preset requirement may be a visual display requirement for the risk level distribution of the lane, which may be set as required, such as the display color of each risk level and whether to distinguish parameter values ​​when displaying the lane risk level distribution, etc., which are not limited in the present disclosure.

[0147] In the present disclosure, after determining the risk level distribution of the tunnel, the risk level distribution of the tunnel can be displayed based on preset requirements, so that relevant personnel can more intuitively obtain the real-time monitoring results of the surrounding rock stability of the coal mine tunnel and issue early warnings. Figure 6 For example, Figure 6 A schematic diagram of a visualization display of a coal mine tunnel surrounding rock stability monitoring and early warning method provided by an embodiment of the present disclosure, wherein: Figure 6 Included Figure 6 a and Figure 6 b, Figure 6 a is a schematic diagram of displaying the risk level of a lane area according to monitoring indicators provided in an embodiment of the present disclosure, Figure 6 b is a schematic diagram showing the overall risk level distribution of the tunnel provided in an embodiment of the present disclosure. Figure 6 Lane a includes measuring stations 1# to 5#. Figure 6 S1 to S10 in b are all measuring stations in the lane. Figure 6 a and Figure 6In b, the darker the area and the sensor, the higher the risk level. Figure 6 It can be seen from a that each measuring station can display the risk level of each monitoring indicator according to the sensor type, such as roof displacement, two-wall displacement, shallow separation, deep separation, anchor force measurement, and anchor cable force measurement. For example, the dark-colored roof separation meter and laser displacement meter in the middle area between the 4# and 3# measuring stations have higher risk levels for the corresponding monitoring indicators. Figure 6 b It can be seen that the risk level of the measuring station S9 is higher, etc., and the present disclosure does not limit this.

[0148] In some possible implementation forms, when the risk level distribution of the tunnel is displayed based on preset requirements, when the number of anchor dynamometers and cable dynamometers in a single measuring station is greater than 1, and when the risk level color of the middle area of ​​adjacent measuring stations is determined by interpolation based on the display color of the measuring station, when displaying the distinguished parameter values, it can be displayed according to the maximum quantitative score and interpolation color of the parameter value; if the parameter values ​​are not distinguished, it can be displayed according to the interpolation color of the parameter value of the highest risk level of a certain dynamometer. The present disclosure does not limit this.

[0149] Step 507, when the risk level distribution of the tunnel includes other risk levels other than the safety level, send an early warning message, wherein the early warning message includes the identification of the tunnel, and the identification of the measuring station corresponding to the other risk levels and the corresponding monitoring indicators, wherein the other risk levels include at least one of the abnormal level, the dangerous level and the high dangerous level.

[0150] The lane identification and the station identification can be used to represent the lane and the station, respectively, and can be any pre-set identification. For example, the lane identification can be the lane name and number, and the station identification can be the station name and number, etc., which is not limited in the present disclosure.

[0151] It should be noted that the early warning information may also include information such as the change trend of monitoring indicators of the measuring stations corresponding to other risk levels other than the safety level, real-time monitoring values, etc., and the present disclosure does not limit this.

[0152] In the present disclosure, after the risk level distribution of the tunnel is displayed, when the risk level distribution of the tunnel includes other risk levels other than the safety level, it can be determined that the tunnel surrounding rock has the risk of instability. At this time, early warning information can be sent to relevant personnel, so that the relevant personnel can specify corresponding processing strategies to effectively reduce the probability of instability of the tunnel surrounding rock and reduce losses.

[0153] In the disclosed embodiment, firstly, a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations of the roadway in the current monitoring cycle are obtained, and based on the plurality of monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, a plurality of parameter values ​​corresponding to each monitoring indicator of each measuring station are determined, and then the parameter threshold of each parameter value of each monitoring indicator is determined, and based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, the risk level corresponding to each monitoring indicator of each measuring station is determined, and then based on the risk level corresponding to each monitoring indicator of each measuring station, the risk level distribution of the roadway is determined, and based on the preset requirements, the risk level distribution of the roadway is displayed, and finally, when the risk level distribution of the roadway includes other risk levels of non-safety level, an early warning message is sent. Thus, after determining the risk level distribution of the roadway, the risk level distribution of the roadway is visualized, and when the risk level distribution of the roadway includes other risk levels of non-safety level, an early warning message is sent, thereby effectively reducing the probability of instability of the surrounding rock of the roadway, reducing losses, and improving the reliability of the early warning method for monitoring and early warning of surrounding rock stability of coal mine roadways.

[0154] In order to implement the above-mentioned embodiment, the disclosed embodiment also proposes a coal mine tunnel surrounding rock stability monitoring and early warning device.

[0155] Figure 7 A schematic structural diagram of a coal mine tunnel surrounding rock stability monitoring and early warning device provided in an embodiment of the present disclosure.

[0156] like Figure 7 As shown, the coal mine tunnel surrounding rock stability monitoring and early warning device 700 may include:

[0157] An acquisition module 701 is used to acquire a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations in the lane in a current monitoring cycle;

[0158] A first determination module 702 is used to determine a plurality of parameter values ​​corresponding to each monitoring indicator of each monitoring station based on a plurality of monitoring values ​​of each monitoring indicator and historical monitoring data of each monitoring station;

[0159] The second determination module 703 is used to determine the parameter threshold of each parameter value of each monitoring indicator;

[0160] The third determination module 704 is used to determine the risk level corresponding to each monitoring indicator of each monitoring station based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each monitoring station;

[0161] The fourth determination module 705 is used to determine the risk level distribution of the tunnel based on the risk level corresponding to each monitoring indicator of each measuring station.

[0162] Optionally, the first determining module 702 is specifically configured to:

[0163] Based on a plurality of monitoring values ​​corresponding to each monitoring indicator of each measuring station, respectively, determining a first median of the monitoring values ​​of each monitoring indicator of each measuring station;

[0164] Based on the first median of each monitoring indicator of each measuring station and the second median of each monitoring indicator of each measuring station corresponding to the first preset number of monitoring periods adjacent to the current monitoring period, respectively determine the change value and change speed of each monitoring indicator of each measuring station corresponding to the current monitoring period;

[0165] Determine the change acceleration of each monitoring indicator of each measuring station corresponding to the current monitoring period based on the change speed of each monitoring indicator of each measuring station in the current monitoring period and the change speed of each monitoring indicator of each measuring station corresponding to the previous preset number of monitoring periods;

[0166] The monitoring value, change value, change speed and change acceleration of each monitoring indicator of each measuring station in the current monitoring period at the current moment are determined as multiple parameter values ​​of the corresponding monitoring indicator of each measuring station.

[0167] Optionally, the second determining module 703 is specifically configured to:

[0168] Determine the service scope of the laneway and the stage it is in;

[0169] Based on the service scope and stage, determine the first parameter threshold of each parameter value corresponding to each monitoring indicator;

[0170] Based on the proportional coefficient corresponding to each parameter value of each monitoring indicator and the corresponding first parameter threshold, the second parameter threshold corresponding to each parameter value of each monitoring indicator is determined, wherein the proportional coefficient is greater than 0 and less than 1.

[0171] Optionally, the third determining module 704 is specifically configured to:

[0172] Determine the relationship between each parameter value of each monitoring indicator of each measuring station and the corresponding second parameter threshold value and / or the corresponding first parameter threshold value;

[0173] Based on the relationship, the risk level of the corresponding parameter value of the corresponding monitoring indicator of the corresponding measuring station is determined;

[0174] Among the risk levels corresponding to each parameter value of each monitoring indicator of each measuring station, the highest risk level is determined as the risk level of the corresponding monitoring indicator.

[0175] Optionally, the third determining module 704 is further configured to:

[0176] Determine the risk level of a parameter value less than the corresponding second parameter threshold value among the multiple parameter values ​​of each monitoring indicator as the safety level, wherein the multiple parameter values ​​include the monitoring value, change value, change speed and change acceleration of each monitoring indicator at the current moment;

[0177] Except for the change acceleration of the roof sinking and the change acceleration of the roof separation of the tunnel, the risk level of the parameter value of each parameter value of other monitoring indicators, the roof sinking and the roof separation respectively corresponding to the other parameter values ​​except the change acceleration, which is greater than the corresponding second parameter threshold value and less than or equal to the corresponding first parameter threshold value is determined as an abnormal level;

[0178] The risk level of the change acceleration corresponding to the roof sinking and the roof separation of the tunnel, which is greater than the corresponding second parameter threshold and less than or equal to the corresponding first parameter threshold, is determined as the danger level;

[0179] Except for the change acceleration of the roof sinking and the change acceleration of the roof separation of the tunnel, the risk level of the parameter value greater than the corresponding first parameter threshold value among the parameter values ​​of each parameter value of other monitoring indicators, the roof sinking and the roof separation respectively corresponding to the other parameter values ​​except the change acceleration is determined as the danger level;

[0180] The risk level of the change acceleration corresponding to the roof lower layer and the roof separation layer, which is greater than the corresponding first parameter threshold, is determined as a high risk level.

[0181] Optionally, the fourth determining module 705 is specifically configured to:

[0182] The highest risk level among the risk levels corresponding to each monitoring indicator of each measuring station is determined as the risk level of the corresponding measuring station;

[0183] Based on the risk levels corresponding to the two adjacent measuring stations, the risk level distribution of the middle area between the two adjacent measuring stations is determined;

[0184] Based on the risk level of each measuring station and the risk level distribution of the intermediate area, the risk level distribution of the tunnel is determined.

[0185] Optionally, the fourth determining module 705 is further configured to:

[0186] Based on preset requirements, the risk level distribution of the lanes is displayed;

[0187] When the risk level distribution of the tunnel includes other risk levels other than the safety level, an early warning message is sent, wherein the early warning message includes the identification of the tunnel, and the identification of the measuring station corresponding to the other risk levels and the corresponding monitoring indicators, wherein the other risk levels include at least one of the abnormal level, the dangerous level and the high dangerous level.

[0188] The functions and specific implementation principles of the above modules in the embodiments of the present disclosure can be referred to the above method embodiments, and will not be repeated here.

[0189] In the present disclosure, firstly, a plurality of monitoring values ​​corresponding to each monitoring indicator monitored by a plurality of continuous measuring stations of the roadway in the current monitoring cycle are obtained, and then based on the plurality of monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, a plurality of parameter values ​​corresponding to each monitoring indicator of each measuring station are determined, and then the parameter threshold of each parameter value of each monitoring indicator is determined, and based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each measuring station, the risk level corresponding to each monitoring indicator of each measuring station is determined, and finally, based on the risk level corresponding to each monitoring indicator of each measuring station, the risk level distribution of the roadway is determined. Thus, by grading the risk degree of each parameter value of each monitoring indicator of each measuring station of the roadway, the risk level distribution of the roadway is determined, thereby realizing the scientific monitoring and early warning of the instability of the surrounding rock of the roadway, and improving the timeliness and accuracy of the monitoring and early warning of the stability of the surrounding rock of the coal mine roadway.

[0190] Figure 8 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown.

[0191] Figure 8 The electronic device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0192] like Figure 8As shown, the electronic device 12 is presented in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 connecting different system components (including the memory 28 and the processing unit 16). The bus 18 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any bus structure in a variety of bus structures. For example, these architectures include, but are not limited to, an Industry Standard Architecture (hereinafter referred to as: ISA) bus, a Micro Channel Architecture (hereinafter referred to as: MCA) bus, an enhanced ISA bus, a Video Electronics Standards Association (hereinafter referred to as: VESA) local bus, and a Peripheral Component Interconnection (hereinafter referred to as: PCI) bus.

[0193] The electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0194] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 8 Not shown, usually called a "hard drive").

[0195] although Figure 8Not shown in the figure, a disk drive for reading and writing a removable non-volatile disk (such as a "floppy disk"), and an optical disk drive for reading and writing a removable non-volatile optical disk (such as a compact disc read only memory (hereinafter referred to as: CD-ROM), a digital versatile disc read only memory (hereinafter referred to as: DVD-ROM) or other optical media) can be provided. In these cases, each drive can be connected to the bus 18 through one or more data medium interfaces. The memory 28 may include at least one program product, which has a set (for example, at least one) of program modules, which are configured to perform the functions of the various embodiments of the present disclosure.

[0196] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination thereof may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described in the present disclosure.

[0197] The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and may also communicate with one or more devices that enable the human body to interact with the electronic device 12, and / or communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed through an input / output (I / O) interface 22. In addition, the electronic device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 through a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0198] The processing unit 16 executes various functional applications and parameter information determination by running the program stored in the memory 28, for example, implementing the coal mine tunnel surrounding rock stability monitoring and early warning method mentioned in the above embodiment.

[0199] In order to implement the above embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute the coal mine tunnel surrounding rock stability monitoring and early warning method proposed in the aforementioned embodiments of the present disclosure.

[0200] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0201] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

[0202] It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "plurality" is two or more.

[0203] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0204] It should be understood that the various parts of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof may be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0205] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0206] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0207] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0208] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0209] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A coal mine tunnel surrounding rock stability monitoring and early warning method, comprising: Obtain multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations in the lane in the current monitoring cycle; Based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each measuring station, determine the multiple parameter values ​​corresponding to each monitoring indicator of each measuring station; Determining a parameter threshold value for each parameter value of each of the monitoring indicators; Determine the risk level corresponding to each monitoring indicator of each monitoring station based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each monitoring station; Determining the risk level distribution of the lane based on the risk level corresponding to each monitoring indicator of each of the measuring stations; Wherein, the parameter threshold of each parameter value of each monitoring indicator is determined, including: Determine the service scope of the lane and the stage it is in; Based on the service scope and the stage, determining a first parameter threshold value of each parameter value corresponding to each of the monitoring indicators; Determine a second parameter threshold value corresponding to each parameter value of each monitoring indicator based on the proportional coefficient corresponding to each parameter value of each monitoring indicator and the corresponding first parameter threshold value, wherein the proportional coefficient is greater than 0 and less than 1; The monitoring indicators include roof subsidence, two-wall movement, roof separation, anchor load and anchor cable load of the tunnel, and the risk level of the corresponding parameter value of the corresponding monitoring indicator of the corresponding measuring station is determined, including at least one of the following: Determine the risk level of a parameter value less than the corresponding second parameter threshold value among the multiple parameter values ​​of each of the monitoring indicators as a safety level, wherein the multiple parameter values ​​include the monitoring value, change value, change speed and change acceleration of each of the monitoring indicators at the current moment; Determine the risk level of each parameter value of other monitoring indicators, except the change acceleration of roof sinking and roof separation of the tunnel, and the parameter values ​​other than the change acceleration corresponding to the roof sinking and roof separation, which is greater than the corresponding second parameter threshold value and less than or equal to the corresponding first parameter threshold value, as an abnormal level; Determine the risk level of the change acceleration corresponding to the roof sinking and the roof separation of the tunnel, which is greater than the corresponding second parameter threshold and less than or equal to the corresponding first parameter threshold, as the danger level; Determine the risk level of each parameter value of other monitoring indicators, except the change acceleration of roof sinking and roof separation of the tunnel, and the other parameter values ​​except the change acceleration corresponding to the roof sinking and roof separation respectively, which is greater than the corresponding first parameter threshold value as the danger level; The risk level of the change acceleration corresponding to the roof sinking and the roof separation, respectively, which is greater than the corresponding first parameter threshold, is determined as a high risk level.

2. The method of claim 1, wherein: The determining of multiple parameter values ​​corresponding to each monitoring indicator of each monitoring station based on the multiple monitoring values ​​of each monitoring indicator and the historical monitoring data of each monitoring station includes: Determine a first median of the monitoring values ​​of each monitoring indicator of each monitoring station based on a plurality of monitoring values ​​corresponding to each monitoring indicator of each monitoring station; Based on the first median of each monitoring indicator of each of the measuring stations and the second median of each monitoring indicator of each of the measuring stations corresponding to the first preset number of monitoring periods adjacent to the current monitoring period, respectively determine the change value and change speed of each monitoring indicator of each of the measuring stations corresponding to the current monitoring period; Determine the change acceleration of each monitoring indicator of each of the measuring stations corresponding to the current monitoring cycle based on the change speed of each monitoring indicator of each of the measuring stations in the current monitoring cycle and the change speed of each monitoring indicator of each of the measuring stations corresponding to the previous preset number of monitoring cycles; The monitoring value, change value, change speed and change acceleration of each monitoring indicator of each measuring station in the current monitoring period at the current moment are determined as multiple parameter values ​​of the corresponding monitoring indicator of each measuring station.

3. The method of claim 1, wherein: The determining the risk level distribution of the lane based on the risk level corresponding to each monitoring indicator of each measuring station includes: Determine the highest risk level among the risk levels corresponding to each monitoring indicator of each of the measuring stations as the risk level of the corresponding measuring station; Based on the risk levels respectively corresponding to the two adjacent measuring stations, determining the risk level distribution of the middle area between the two adjacent measuring stations; Based on the risk level of each of the measuring stations and the risk level distribution of the middle area, the risk level distribution of the lane is determined.

4. The method according to any one of claims 1 to 3, wherein: After determining the risk level distribution of the lane based on the risk level corresponding to each monitoring indicator of each measuring station, the method further includes: Based on preset requirements, the risk level distribution of the lane is displayed; In the case where the risk level distribution of the tunnel includes other risk levels other than the safety level, a warning message is sent, wherein the warning message includes the identification of the tunnel, and the identification of the measuring station corresponding to the other risk levels and the corresponding monitoring indicators, wherein the other risk levels include at least one of an abnormal level, a dangerous level and a high dangerous level.

5. A coal mine tunnel surrounding rock stability monitoring and early warning device, comprising: An acquisition module, used to acquire multiple monitoring values ​​corresponding to each monitoring indicator monitored by multiple continuous measuring stations in the lane in the current monitoring cycle; A first determination module, configured to determine a plurality of parameter values ​​corresponding to each monitoring indicator of each monitoring station based on a plurality of monitoring values ​​of each monitoring indicator and historical monitoring data of each monitoring station; A second determination module is used to determine a parameter threshold value of each parameter value of each monitoring indicator; A third determination module is used to determine the risk level corresponding to each monitoring indicator of each monitoring station based on the parameter threshold of each parameter value of each monitoring indicator and each parameter value of the corresponding monitoring indicator of each monitoring station; A fourth determination module, configured to determine the risk level distribution of the lane based on the risk level corresponding to each monitoring indicator of each of the measuring stations; Wherein, the parameter threshold of each parameter value of each monitoring indicator is determined, including: Determine the service scope of the lane and the stage it is in; Based on the service scope and the stage, determining a first parameter threshold value of each parameter value corresponding to each of the monitoring indicators; Determine a second parameter threshold value corresponding to each parameter value of each monitoring indicator based on the proportional coefficient corresponding to each parameter value of each monitoring indicator and the corresponding first parameter threshold value, wherein the proportional coefficient is greater than 0 and less than 1; The monitoring indicators include roof subsidence, two-wall movement, roof separation, anchor load and anchor cable load of the tunnel, and the risk level of the corresponding parameter value of the corresponding monitoring indicator of the corresponding measuring station is determined, including at least one of the following: Determine the risk level of a parameter value less than the corresponding second parameter threshold value among the multiple parameter values ​​of each of the monitoring indicators as a safety level, wherein the multiple parameter values ​​include the monitoring value, change value, change speed and change acceleration of each of the monitoring indicators at the current moment; Determine the risk level of each parameter value of other monitoring indicators, except the change acceleration of roof sinking and roof separation of the tunnel, and the parameter values ​​other than the change acceleration corresponding to the roof sinking and roof separation, which is greater than the corresponding second parameter threshold value and less than or equal to the corresponding first parameter threshold value, as an abnormal level; Determine the risk level of the change acceleration corresponding to the roof sinking and the roof separation of the tunnel, which is greater than the corresponding second parameter threshold and less than or equal to the corresponding first parameter threshold, as the danger level; Determine the risk level of each parameter value of other monitoring indicators, except the change acceleration of roof sinking and roof separation of the tunnel, and the other parameter values ​​except the change acceleration corresponding to the roof sinking and roof separation respectively, which is greater than the corresponding first parameter threshold value as the danger level; The risk level of the change acceleration corresponding to the roof sinking and the roof separation, respectively, which is greater than the corresponding first parameter threshold, is determined as a high risk level.

6. An electronic device, characterized in that: include: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method according to any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-4.

Images