Coal seam seismic exploration acquisition method and system

Abstract

The present application is suitable for coal seam seismic exploration technical field, especially relates to a coal seam seismic exploration collection method and system, the method comprises: demarcating the exploration area needing coal seam seismic, and cutting into mined area and unmined area, obtaining the daily mining task in the mined area, and positioning the blasting point, dividing the unmined area into several levels, positioning the deployment position of the optical fiber sensor, calculating the straight line distance between the deployment position and the blasting point, establishing the mapping between the straight line distance and the deployment density, constructing the query table, wherein each level corresponds to a query table, the query table is composed of straight line distance item and deployment density item, the present application can quickly collect coal seam seismic by generating snapshot, not only can greatly improve the speed and accuracy of coal seam seismic exploration, but also can greatly optimize the safety management and resource utilization of exploration area.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coal seam seismic exploration, and particularly relates to a coal seam seismic exploration acquisition method and system. BACKGROUND

[0002] Coal seam seismic exploration is a method of using artificially excited seismic waves to propagate, reflect and refract in underground coal seams to detect the structure and occurrence state of the coal seam. By arranging seismic receiving equipment on the ground surface or in a well to collect reflected seismic signals, and combining high-resolution seismic data processing and analysis techniques, the position, thickness, strike, faults, collapse columns and other geological anomalies of the coal seam can be accurately identified. Coal seam seismic exploration technology is widely used in coal resource exploration, mine disaster early warning and precise positioning mining, and is an important means to realize intelligent and safe mining of coal mines.

[0003] Traditional seismic exploration is limited by the excitation method and the arrangement conditions of the receiving equipment. In particular, in complex terrain, underground or narrow areas, signal attenuation is serious, which limits the effective detection range and makes it difficult to cover a large area.

[0004] Therefore, the technical problem to be solved by the present application is how to fully cover the detection of the exploration area. SUMMARY

[0005] The present application aims to provide a coal seam seismic exploration acquisition method and system to solve the problem of how to fully cover the detection of the exploration area as described in the background.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0007] A coal seam seismic exploration acquisition method, the method comprising:

[0008] Delimiting an exploration area that needs to be explored for coal seams and dividing it into mined areas and unmined areas, obtaining daily mining tasks in the mined areas and locating blast points, dividing the unmined areas into several levels, locating the deployment positions of optical fiber sensors, calculating the straight-line distances between the deployment positions and the blast points, establishing a mapping between the straight-line distances and the deployment densities, and constructing a query table, wherein each level corresponds to a query table, and the query table is composed of a straight-line distance item and a deployment density item;

[0009] Based on the deployment positions and the query table, generating an exploration path, collecting reflected light signals via the optical fiber sensors, and identifying vibration characteristics;

[0010] create a branch node corresponding to the exploration path, mark the deployment position in the exploration path, create a leaf node corresponding to the deployment position, synchronize the vibration feature to the corresponding leaf node, integrate the leaf node and the branch node, generate a monitoring tree, backtrack a control terminal of a daily mining task, and open a triggering authority of the monitoring tree to the control terminal;

[0011] When the monitoring tree receives a triggering command, a plurality of snapshots are intercepted, a corresponding relationship between the snapshots and the blasting point is established, a collection report is generated, and the collection report is sent to a preset terminal.

[0012] Further, the step of obtaining a daily mining task in the mined area and locating a blasting point comprises:

[0013] From the deployment position, an initial position is selected, and an additional path is generated with the blasting point as the starting point and the initial position as the endpoint, and is inserted into the exploration path;

[0014] The monitoring signal in the additional path is read out, a feature set previously constructed is traversed, and an evaluation report is generated, wherein the evaluation report is used to judge the blasting effect of the blasting point.

[0015] Further, the step of dividing the unmined area into a plurality of levels and locating the deployment position of the optical fiber sensor comprises:

[0016] A depth interval is set, a plurality of levels are divided, and the number of each level is configured;

[0017] A label generated by the number is embedded into the exploration path.

[0018] Further, the step of calculating the straight-line distance between the deployment position and the blasting point, establishing a mapping between the straight-line distance and the deployment density, and constructing a query table comprises:

[0019] The influencing factors of the deployment density are configured, wherein the influencing factors at least include: humidity, air pressure and terrain;

[0020] The blasting level of the daily mining task is obtained, and the deployment density is adjusted via the straight-line distance and the blasting level.

[0021] Further, the step of generating an exploration path based on the deployment position and the query table, collecting a reflected light signal via the optical fiber sensor, and identifying a vibration feature comprises:

[0022] The vibration feature is collected via a sensing device previously deployed in the exploration area, and the vibration feature is corrected;

[0023] Integrate the fiber sensor and the sensing device, build a sensing network, locate the edge device, and access the sensing network to the edge device.

[0024] Further, the step of creating a leaf node corresponding to the deployment position, synchronizing the vibration feature into the corresponding leaf node, integrating the leaf node and the branch node, and generating the monitoring tree comprises:

[0025] Embed a tilt mechanism into the monitoring tree;

[0026] From the leaf node, select an evaluation index, when the vibration feature exceeds the evaluation index, tilt the monitoring tree, and push an alarm reminder to the control terminal.

[0027] Further, the step of intercepting a plurality of snapshots when the monitoring tree receives a trigger command, establishing a corresponding relationship between the snapshot and the blasting point, generating a collection report, and sending the collection report to a preset terminal comprises:

[0028] Integrate all the snapshots and the monitoring tree to generate a vibration spectrum, and insert a timestamp into the vibration spectrum;

[0029] Determine whether there is an abnormal feature in the vibration feature, and if so, activate a preset disposal rule.

[0030] Further, the system comprises:

[0031] A construction module is configured to demarcate an exploration area requiring coal seam earthquake exploration, divide the exploration area into mined areas and unmined areas, obtain daily mining tasks in the mined areas, locate blasting points, divide the unmined areas into a plurality of levels, locate deployment positions of fiber sensors, calculate straight-line distances between the deployment positions and the blasting points, establish a mapping between the straight-line distances and deployment densities, and construct a query table, wherein each level corresponds to a query table, and each query table comprises a straight-line distance item and a deployment density item.

[0032] A recognition module is configured to generate an exploration path according to the deployment positions and the query table, collect reflected light signals via the fiber sensors, and recognize vibration features.

[0033] An opening module is configured to create a branch node corresponding to the exploration path, mark the deployment positions in the exploration path, create a leaf node corresponding to the deployment position, synchronize the vibration features into the corresponding leaf node, integrate the leaf node and the branch node, generate a monitoring tree, trace back a control terminal of the daily mining task, and open a trigger permission of the monitoring tree to the control terminal.

[0034] The sending module is configured to intercept a plurality of snapshots after the monitoring tree receives a trigger command, establish a corresponding relationship between the snapshots and the blasting point, generate a collection report, and send the collection report to a preset terminal.

[0035] Further, the construction module comprises:

[0036] The insertion unit is configured to select an initial position from the deployment position, generate an additional path with the blasting point as a starting point and the initial position as an ending point, and insert the additional path into the exploration path.

[0037] The generation unit is configured to read the monitoring signal in the additional path, traverse the pre-constructed feature set, and generate an evaluation report, wherein the evaluation report is used to judge the blasting effect of the blasting point.

[0038] The setting unit is configured to set a depth interval, divide a plurality of levels, and configure the number of each level.

[0039] The embedding unit is configured to embed a label generated by the number into the exploration path.

[0040] The configuration unit is configured to configure the influencing factors of the deployment density, wherein the influencing factors at least include humidity, air pressure and terrain.

[0041] The adjustment unit is configured to obtain the blasting level of the daily mining task, and adjust the deployment density via the straight-line distance and the blasting level.

[0042] Further, the identification module comprises:

[0043] The correction unit is configured to collect sensing data via the sensing device pre-deployed in the exploration area, and correct the vibration feature.

[0044] The access unit is configured to integrate the optical fiber sensor and the sensing device, construct a sensing network, locate an edge device, and access the sensing network into the edge device.

[0045] Compared with the prior art, the present application has the following advantages:

[0046] By dividing the exploration area, the main manpower, equipment and resources can be concentrated in the unexplored area, the cost is saved, the explosion point position is determined, so that the artificial seismic source does not need to be manufactured separately, the equipment, material and manpower cost is significantly reduced, the operation process is simplified, the exploration efficiency is further improved, through the construction of the query table, not only the high-precision detection of the key area can be realized, but also the unnecessary data redundancy can be reduced, the data processing efficiency is improved, through the construction of the monitoring tree, the vibration characteristics at each deployment position can be intuitively displayed, so that the abnormal point position is quickly identified, the data interpretation efficiency is improved, through the generation of the snapshot, the coal seam earthquake can be quickly collected, not only the speed and precision of the coal seam exploration can be greatly improved, but also the safety management and resource utilization of the exploration area can be greatly optimized. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 A structure schematic diagram of the monitoring tree provided for the embodiment of the present application is shown in the figure.

[0048] Figure 2 A flowchart of the coal seam exploration and collection method provided for the embodiment of the present application is shown in the figure.

[0049] Figure 3 A first sub-flowchart of the coal seam exploration and collection method provided for the embodiment of the present application is shown in the figure.

[0050] Figure 4 A second sub-flowchart of the coal seam exploration and collection method provided for the embodiment of the present application is shown in the figure.

[0051] Figure 5 A third sub-flowchart of the coal seam exploration and collection method provided for the embodiment of the present application is shown in the figure.

[0052] Figure 6 A fourth sub-flowchart of the coal seam exploration and collection method provided for the embodiment of the present application is shown in the figure.

[0053] Figure 7 A composition block diagram of the coal seam exploration and collection system provided for the embodiment of the present application is shown in the figure.

[0054] Figure 8 A composition block diagram of the construction module in the coal seam exploration and collection system provided for the embodiment of the present application is shown in the figure.

[0055] Figure 9 A composition block diagram of the identification module in the coal seam exploration and collection system provided for the embodiment of the present application is shown in the figure.

[0056] Figure 10 A composition block diagram of the opening module in the coal seam exploration and collection system provided for the embodiment of the present application is shown in the figure.

[0057] Figure 11The composition block diagram of the sending module in the coal seam seismic exploration acquisition system provided by the embodiment of the present application is shown. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solutions and advantages of the present application more clear, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0059] In embodiment 1, Figure 1 and Figure 2 The coal seam seismic exploration acquisition method implementation process provided by the embodiment of the present application is shown, which is described in detail as follows:

[0060] S100: delineate the exploration area of the coal seam seismic exploration, and divide it into the mined area and the unmined area, obtain the daily mining task in the mined area, and locate the blasting point, divide the unmined area into several levels, locate the deployment position of the optical fiber sensor, calculate the straight line distance between the deployment position and the blasting point, establish the mapping between the straight line distance and the deployment density, and construct a query table, wherein each level corresponds to a query table, and the query table is composed of a straight line distance item and a deployment density item.

[0061] According to the geological structure and mining plan of the coal seam, the area that needs to be explored by the coal seam seismic exploration, i.e. the exploration area, is delineated, and the exploration area is divided into the mined area and the unmined area in combination with the actual mining situation. The mined area refers to the area that has been subjected to mining operations and has a goaf or a damaged layer. Generally speaking, the mined area does not need to be explored by the coal seam, while the unmined area refers to the area that has not entered the mining stage or has not been explored. The daily mining task in the mined area is obtained, which should include information such as mining progress, working depth, blasting position and intensity. By determining the daily mining task, the existing seismic source can be fully utilized, and the tedious steps of manually manufacturing exploration seismic sources can be saved. In the daily mining task, the position that needs to be blasted, i.e. the blasting point, is read out. According to the geological characteristics, burial depth, stress distribution and other factors of the coal seam, the unmined area is divided into several levels, each of which represents a relatively independent geological unit. The division of levels includes horizontal and vertical directions. By dividing the levels, the influence of the vibration wave generated by the blasting point on different positions in the exploration area can be further refined.

[0062] The deployment positions of the optical fiber sensors are located, and the deployment positions should cover key areas in each level, especially areas where geological hazards, faults or stress concentrations may exist; in addition, the installation positions of the optical fiber sensors should also consider the installation difficulty of the optical fiber, the signal transmission efficiency and the monitoring accuracy, etc. The single-mode and multi-mode optical fibers are used to connect the optical fiber sensors; the straight-line distances between each deployment position (optical fiber sensor) and the blasting point are calculated, so as to evaluate the vibration waves generated by blasting and their propagation range.

[0063] Each level corresponds to an independent query table, and the query table includes: a straight-line distance item (the straight-line distance from the optical fiber sensor to the blasting point) and a deployment density item (such as the length of the detection optical fiber per unit area). By using the query table, the detection accuracy of different levels can be differentiated.

[0064] In the present application, the optical fiber sensors are arranged in the key nodes in the exploration area, and all the optical fiber sensors are connected by using the detection optical fiber combined with the nearest neighbor algorithm; in other words, the spatial resolution can be improved by using the optical fiber sensors to process the reflected light signals in the corresponding independent monitoring area, and the exploration area can be finely explored; in addition, the number of optical fiber sensors is determined by the area of the unexplored area and the length of the detection optical fiber, etc.

[0065] S200: Based on the deployment positions and the query table, an exploration path is generated, the reflected light signals are collected via the optical fiber sensors, and the vibration features are identified.

[0066] All the optical fiber sensors are connected by using the detection optical fiber, and the area passed by the detection optical fiber is defined as the exploration path. The reflected light signals in the detection optical fiber are collected in real time, and the reflected light signals are generated by the interaction between the seismic waves propagating in the coal seam or geological structure and the underground medium; the slight vibration and stress change caused by the seismic waves are recorded, the vibration features such as the amplitude, frequency and propagation speed of the vibration are identified by analyzing the time delay and frequency change of the reflected light signals, so as to accurately identify the position, thickness, trend, fault, collapse column and other geological anomalies of the coal seam, etc.

[0067] S300: A branch node corresponding to the exploration path is created, the deployment positions are marked in the exploration path, a leaf node corresponding to the deployment position is created, the vibration features are synchronized to the corresponding leaf node, the leaf nodes and the branch nodes are integrated, a monitoring tree is generated, the control terminal of the daily mining task is traced back, and the trigger permission of the monitoring tree is opened to the control terminal.

[0068] A branch node corresponding to the exploration path is created, wherein the branch node is mainly used for intuitively displaying the distribution and direction of the detection optical fiber, a leaf node corresponding to the deployment position is created, the leaf node is mainly used for determining a data processing point of the emitted optical signal, the detection optical fiber between two optical fiber sensors is defined as a segment, each optical fiber sensor is responsible for processing a reflected optical signal in a segment, vibration characteristics in each segment are synchronized to the leaf node, the leaf node and the branch node are integrated, and a monitoring tree is generated, wherein the monitoring tree is a tree data structure and can explain the vibration distribution of an unexplored area.

[0069] A control terminal of a daily exploration task is determined, wherein the control terminal refers to a device for controlling blasting, and the control terminal can be an electric detonator control system or a wireless blasting control system; when the control terminal starts to work or enters a blasting preparation program, a trigger authority is used to update the monitoring tree in real time.

[0070] S400: When the monitoring tree receives a trigger command, a plurality of snapshots are intercepted, a correspondence between the snapshots and the blasting points is established, a collection report is generated, and the collection report is sent to a preset terminal.

[0071] A trigger command is generated by using a trigger authority, and the trigger command is sent to the monitoring tree, a plurality of snapshots containing vibration characteristics are intercepted from the monitoring tree, a correspondence between the snapshots and the blasting points is established, and it is ensured that the exploration data corresponding to each snapshot is accurately matched with the spatial position and time of the blasting; in other words, the snapshots are used to record the seismic data generated during blasting, the snapshots corresponding to a single blasting are integrated, the collection report is generated by combining the analysis result of the vibration characteristics, and the collection report is sent to a preset terminal, wherein the preset terminal can be a terminal of an exploration area manager.

[0072] In embodiment 2, Figure 3 A coal seam seismic exploration collection method implementation process provided by the embodiment of the present application is shown, and the steps of obtaining a daily exploration task in an explored area and positioning a blasting point are described in detail as follows:

[0073] S101: An initial position is selected from the deployment position, an additional path is generated with the blasting point as a starting point and the initial position as an end point, and the additional path is inserted into the exploration path.

[0074] According to the distribution of the deployment position, the optical fiber sensor closest to the blasting point is found, and the position of the optical fiber sensor is defined as the initial position, the additional path is constructed with the blasting point as a starting point and the initial position as an end point, and the additional path and the exploration path are integrated.

[0075] S102: read out the monitoring signal in the additional path, traverse the pre-constructed feature set to generate an evaluation report, wherein the evaluation report is used to judge the blasting effect of the blasting point.

[0076] The detection optical fiber is connected to the starting point and the ending point, and the emitted light signal in the additional path is collected, and the reflected light signal is defined as the monitoring signal. The pre-constructed feature set is traversed, and the feature set includes multiple dimensions of vibration feature templates of various typical earthquakes, abnormal rock structures and blasting waves. The matching degree between the monitoring signal of the additional path and the features in the feature set is compared, and the comparison result is filled into the preset template to generate an evaluation report. The evaluation report is mainly used to determine the geological state or the blasting effect corresponding to the current monitoring signal. The evaluation report can determine whether the blasting effect reaches the expected earthquake intensity, and whether the volume range of the cracks or fractures generated after blasting reaches the expectation.

[0077] In embodiment 3, Figure 3 The coal seam seismic exploration collection method implementation process provided by the embodiment of the present application is shown, and the step of dividing the unexplored area into several levels and positioning the deployment position of the optical fiber sensor is described in detail as follows:

[0078] S103: Set the depth interval, and divide several levels to configure the number of each level.

[0079] In addition to the position of the exploration area, the level can also be divided according to the depth; for example, 0-3 meters is divided into the first level, and 4-10 meters is divided into the second level; further, each level corresponds to a number, and the number is determined by the exploration area management personnel in advance.

[0080] S104: Embed the label generated by the number into the exploration path.

[0081] The label is generated by the number, and the label is inserted into the exploration path; wherein by generating the label, the corresponding exploration area of each exploration path can be intuitively displayed.

[0082] In embodiment 4, Figure 3 The coal seam seismic exploration collection method implementation process provided by the embodiment of the present application is shown, and the step of calculating the straight line distance between the deployment position and the blasting point, establishing the mapping between the straight line distance and the deployment density, and constructing the query table is described in detail as follows:

[0083] S105: Configure the influencing factors of the deployment density, wherein the influencing factors at least include humidity, air pressure and terrain.

[0084] The deployment density of the optical fiber is affected by the humidity, air pressure and terrain at the deployment location in addition to the length of the straight line distance.

[0085] S106: Obtain the blasting level of the daily mining task, and adjust the deployment density according to the straight line distance and the blasting level.

[0086] The corresponding blasting level in the daily mining task is obtained, which reflects the strength of the blasting operation, the energy release range and the influence degree on the surrounding strata; according to the relationship between the blasting level and the straight line distance, the deployment density of the optical fiber sensor is dynamically adjusted; further, for the area with high blasting level and short distance, the deployment density should be increased accordingly to enhance the accuracy and timeliness of local data collection; and for the area with low blasting level or long distance, the deployment density should be appropriately reduced to optimize resource allocation and avoid redundant collection.

[0087] In embodiment 5, Figure 4 The coal seam seismic exploration and collection method provided by the embodiment of the present application is shown, and the steps of generating an exploration path based on the deployment location and the query table, collecting reflected light signals through the optical fiber sensor, and identifying vibration characteristics are described in detail as follows:

[0088] S201: Collect sensing data through the sensing device pre-deployed in the exploration area, and correct the vibration characteristics.

[0089] The sensing data is collected through various sensing devices pre-deployed in the exploration area, such as a seismic detector, wherein the sensing data includes vibration signals generated by the stratum under the action of a seismic source and environmental interference data; in combination with a geological model and historical data, interference signals generated by non-coal seam structures, such as device noise, shallow layer echo or surface reflection, are identified and removed from the sensing data, so as to correct the propagation path, energy attenuation law and reflection mode of the vibration characteristics, thereby improving the accuracy and precision of exploration.

[0090] S202: Integrate the optical fiber sensor and the sensing device to construct a sensing network, locate the edge device, and connect the sensing network to the edge device.

[0091] The optical fiber sensor and other sensing devices in each level are integrated to construct a sensing network; the sensing network establishes linkage among different types of sensing devices through a unified communication protocol and data format, forming a distributed sensing system; in the exploration area, an edge device with computing, storage and communication capabilities is located, such as a ground base station near the mining area, a mobile edge gateway or an edge server, which serves as a nearby processing center of the sensing network, and all sensing devices in the sensing network are connected to the edge device.

[0092] In embodiment 6,Figure 5 The coal seam seismic exploration collection method implementation process provided by the embodiment of the present application is shown, and the following steps of creating a leaf node corresponding to the deployment position, synchronizing the vibration feature to the corresponding leaf node, integrating the leaf node and the branch node, and generating the monitoring tree are described in detail as follows:

[0093] S301: embedding a tilt mechanism into the monitoring tree.

[0094] S302: selecting an evaluation index from the leaf node, tilting the monitoring tree when the vibration feature exceeds the evaluation index, and pushing an alarm reminder to the control terminal.

[0095] Each vibration feature corresponds to an evaluation index, which can be a threshold value or a threshold line; if a certain vibration feature exceeds the corresponding evaluation index, the tilt mechanism is started, and the tilt mechanism is to tilt the monitoring tree to a specific angle; specifically, the proportion of the vibration feature exceeding the evaluation index is calculated, and each proportion corresponds to a specific angle, which is the required tilt angle of the monitoring tree.

[0096] If the tilt angle of the monitoring tree is greater than the threshold value, it means that the proportion of the vibration feature exceeding the evaluation index is relatively large, and the exploration area corresponding to the vibration feature may have landslides and crack expansion, etc., and an alarm reminder is pushed to the control terminal to prevent workers from entering the exploration area corresponding to the vibration feature.

[0097] In embodiment 7, Figure 6 The coal seam seismic exploration collection method implementation process provided by the embodiment of the present application is shown, and the following steps of creating a leaf node corresponding to the deployment position, synchronizing the vibration feature to the corresponding leaf node, integrating the leaf node and the branch node, and generating the monitoring tree are described in detail as follows:

[0098] S401: integrating all the snapshots and monitoring trees to generate a vibration spectrum, and inserting a time stamp into the vibration spectrum.

[0099] The snapshots and monitoring trees generated by a single blasting are integrated to obtain a vibration spectrum, wherein the vibration spectrum can comprehensively reflect the seismic situation and change trend in the exploration area; a time stamp is inserted into the vibration spectrum to provide a time sequence data basis for subsequent vibration analysis.

[0100] S402: determining whether there is an abnormal feature in the vibration feature, and if so, activating a preset disposal rule.

[0101] Create a set of several abnormal features, if the vibration feature exists in the same item in the set, it means that there may be frequency abnormalities, amplitude abnormalities, propagation speed abnormalities or duration abnormalities, etc. in the vibration feature, and the disposal rule can be: notify the staff to check the earthquake situation on site and start the emergency response program, etc.

[0102] Figure 7 The composition structure block diagram of the coal seam seismic exploration acquisition system provided by the embodiment of the application is shown, and the coal seam seismic exploration acquisition system 1 comprises:

[0103] The construction module 11 is used for demarcating the exploration area of the coal seam seismic exploration, and dividing the exploration area into the mined area and the unmined area, obtaining the daily mining task in the mined area, and positioning the blasting point position, dividing the unmined area into several levels, positioning the deployment position of the optical fiber sensor, calculating the straight line distance between the deployment position and the blasting point position, establishing the mapping between the straight line distance and the deployment density, and constructing the query table, wherein each level corresponds to a query table, and the query table is composed of the distance item and the deployment density item;

[0104] The identification module 12 is used for generating the exploration path according to the deployment position and the query table, collecting the reflected light signal via the optical fiber sensor, and identifying the vibration feature;

[0105] The opening module 13 is used for creating the branch node corresponding to the exploration path, marking the deployment position in the exploration path, creating the leaf node corresponding to the deployment position, synchronizing the vibration feature into the corresponding leaf node, integrating the leaf node and the branch node, generating the monitoring tree, backtracking the control terminal of the daily mining task, and opening the trigger permission of the monitoring tree to the control terminal;

[0106] The sending module 14 is used for intercepting a plurality of snapshots after the monitoring tree receives the trigger command, establishing the corresponding relationship between the snapshot and the blasting point position, generating the acquisition report, and sending the acquisition report to the preset terminal.

[0107] Figure 8 The composition structure block diagram of the coal seam seismic exploration acquisition system provided by the embodiment of the application is shown, and the construction module 11 comprises:

[0108] The insertion unit 111 is used for selecting the initial position from the deployment position, generating the additional path with the blasting point position as the starting point and the initial position as the terminal point, and inserting the additional path into the exploration path;

[0109] The generation unit 112 is used for reading out the monitoring signal in the additional path, traversing the feature set constructed in advance, and generating the evaluation report, wherein the evaluation report is used for judging the blasting effect of the blasting point position;

[0110] The setting unit 113 is configured to set a depth interval, split a plurality of levels, and configure a number of each level;

[0111] The embedding unit 114 is configured to embed a label generated by the number into the exploration path;

[0112] The configuration unit 115 is configured to configure an influencing factor of the deployment density, wherein the influencing factor at least includes humidity, air pressure and terrain;

[0113] The adjustment unit 116 is configured to obtain a blasting level of the daily mining task, and adjust the deployment density via the straight-line distance and the blasting level.

[0114] Figure 9 The composition structure block diagram of the coal seam seismic exploration and collection system provided by the embodiment of the present application is shown, and the identification module 12 includes:

[0115] The correction unit 121 is configured to collect sensing data via a sensing device deployed in the exploration area in advance, and correct the vibration feature;

[0116] The access unit 122 is configured to integrate the optical fiber sensor and the sensing device, build a sensing network, locate an edge device, and access the sensing network into the edge device.

[0117] Figure 10 The composition structure block diagram of the coal seam seismic exploration and collection system provided by the embodiment of the present application is shown, and the open module 13 includes:

[0118] The tilt unit 131 is configured to embed a tilt mechanism into the monitoring tree;

[0119] The alarm unit 132 is configured to select an evaluation index from the leaf node, tilt the monitoring tree when the vibration feature exceeds the evaluation index, and push an alarm reminder to the control terminal.

[0120] Figure 11 The composition structure block diagram of the coal seam seismic exploration and collection system provided by the embodiment of the present application is shown, and the sending module 14 includes:

[0121] The integration unit 141 is configured to integrate all the snapshots and monitoring trees, generate a vibration spectrum, and insert a time stamp into the vibration spectrum;

[0122] The activation unit 142 is configured to determine whether there is an abnormal feature in the vibration feature, and if so, activate a preset disposal rule.

[0123] The construction module 11 is mainly used to complete step S100, the identification module 12 is mainly used to complete step S200, the opening module 13 is mainly used to complete step S300, and the sending module 14 is mainly used to complete step S400.

[0124] The insertion unit 111 is mainly used to complete step S101, the generation unit 112 is mainly used to complete step S102, the setting unit 113 is mainly used to complete step S103, the embedding unit 114 is mainly used to complete step S104, the configuration unit 115 is mainly used to complete step S105, and the adjustment unit 116 is mainly used to complete step S106.

[0125] The correction unit 121 is mainly used to complete step S201, and the access unit 122 is mainly used to complete step S202.

[0126] The tilting unit 131 is mainly used to complete step S301, and the alarm unit 132 is mainly used to complete step S302.

[0127] The integration unit 141 is mainly used to complete step S401, and the activation unit 142 is mainly used to complete step S402.

[0128] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0129] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0130] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for seismic exploration and acquisition of coal seams, characterized in that, The method includes: The exploration area requiring coal seam seismic exploration is delineated and divided into mined and unmined areas. Daily mining tasks in the mined areas are obtained, and blasting points are located. The unmined areas are divided into several levels, and the deployment locations of fiber optic sensors are located. The straight-line distance between the deployment locations and blasting points is calculated, and a mapping between the straight-line distance and deployment density is established. A lookup table is constructed, where each level corresponds to a lookup table, and the lookup table consists of a straight-line distance item and a deployment density item. Based on the deployment location and lookup table, an exploration path is generated, and reflected light signals are collected via the fiber optic sensor to identify vibration characteristics. Create branch nodes that correspond one-to-one with the exploration path and mark the deployment location in the exploration path. Create leaf nodes that correspond to the deployment location and synchronize the vibration characteristics to the corresponding leaf nodes. Integrate the leaf nodes and branch nodes to generate a monitoring tree. Backtrack the control terminal of the daily mining task and grant the control terminal the triggering permission of the monitoring tree. When the monitoring tree receives the trigger command, it extracts several snapshots, establishes the correspondence between the snapshots and the blasting points, generates a collection report, and sends the collection report to a preset terminal.

2. The method for seismic exploration and acquisition of coal seams according to claim 1, characterized in that, The steps of obtaining the daily mining tasks in the mined area and locating the blasting points include: From the deployment locations, an initial location is selected, and an additional path is generated with the blasting point as the starting point and the initial location as the ending point, and then inserted into the exploration path; The monitoring signals in the additional path are read, the pre-constructed feature set is traversed, and an evaluation report is generated, wherein the evaluation report is used to determine the blasting effect at the blasting point.

3. The method for seismic exploration and acquisition of coal seams according to claim 2, characterized in that, The step of dividing the unmined area into several levels and locating the deployment positions of the fiber optic sensors includes: Set the depth range and divide it into several levels, and configure the number of each level; Embed a numbered tag into the exploration path.

4. The method for seismic exploration and acquisition of coal seams according to claim 1, characterized in that, The steps of calculating the straight-line distance between the deployment location and the blasting point, establishing a mapping between the straight-line distance and the deployment density, and constructing a query table include: The factors influencing the deployment density are configured, wherein the influencing factors include at least: humidity, air pressure, and terrain; The blasting level of the daily mining task is obtained, and the deployment density is adjusted based on the straight-line distance and the blasting level.

5. The method for seismic exploration and acquisition of coal seams according to claim 1, characterized in that, The steps of generating an exploration path based on the deployment location and lookup table, acquiring reflected light signals via the fiber optic sensor, and identifying vibration characteristics include: Sensing data is collected via sensing devices pre-deployed in the exploration area, and the vibration characteristics are corrected accordingly; The fiber optic sensors and sensing devices are integrated to construct a sensing network, the edge devices are located, and the sensing network is connected to the edge devices.

6. The method for seismic exploration and acquisition of coal seams according to claim 4, characterized in that, The steps of creating leaf nodes corresponding to the deployment location, synchronizing vibration features to the corresponding leaf nodes, integrating leaf nodes and branch nodes, and generating a monitoring tree include: Embed a tilting mechanism into the monitoring tree; Evaluation indicators are selected from the leaf nodes. When the vibration characteristics exceed the evaluation indicators, the monitoring tree is tilted and an alarm is pushed to the control terminal.

7. The method for seismic exploration and acquisition of coal seams according to claim 6, characterized in that, The steps of extracting several snapshots, establishing a correspondence between the snapshots and the blasting points, generating a collection report, and sending the collection report to a preset terminal after the monitoring tree receives a trigger command include: Integrate all the aforementioned snapshots and monitoring trees to generate a vibration spectrum, and insert timestamps into the vibration spectrum; Determine whether there are any abnormal features in the vibration characteristics. If so, activate the preset handling rules.

8. A coal seam seismic exploration acquisition system, characterized in that, The system includes: The module is used to delineate the exploration area for coal seam seismic testing, and divide it into mined and unmined areas. It obtains the daily mining tasks in the mined areas and locates the blasting points. It divides the unmined areas into several levels, locates the deployment positions of fiber optic sensors, calculates the straight-line distance between the deployment positions and the blasting points, establishes a mapping between the straight-line distance and the deployment density, and constructs a lookup table. Each level corresponds to a lookup table, and the lookup table consists of a straight-line distance item and a deployment density item. The identification module is used to generate an exploration path based on the deployment location and the lookup table, collect reflected light signals via the fiber optic sensor, and identify vibration characteristics. An open module is used to create branch nodes that correspond one-to-one with the exploration path, mark the deployment location in the exploration path, create leaf nodes that correspond to the deployment location, synchronize the vibration characteristics to the corresponding leaf nodes, integrate the leaf nodes and branch nodes, generate a monitoring tree, trace back the control terminal of the daily mining task, and grant the control terminal the trigger permission of the monitoring tree. The sending module is used to extract several snapshots after the monitoring tree receives the trigger command, establish the correspondence between the snapshots and the blasting points, generate a collection report, and send the collection report to a preset terminal.

9. The coal seam seismic exploration and acquisition system according to claim 8, characterized in that, The building module includes: An insertion unit is used to select an initial position from the deployment locations, generate an additional path with the blasting point as the starting point and the initial position as the ending point, and insert it into the exploration path. The generation unit is used to read the monitoring signals in the additional path, traverse the pre-constructed feature set, and generate an evaluation report, wherein the evaluation report is used to judge the blasting effect of the blasting point. The setting unit is used to set the depth range, divide it into several levels, and configure the number of each level; An embedding unit is used to embed a numbered tag into the exploration path; A configuration unit is used to configure the influencing factors of the deployment density, wherein the influencing factors include at least: humidity, air pressure and terrain; An adjustment unit is used to obtain the blasting level of the daily mining task and adjust the deployment density based on the straight-line distance and the blasting level.

10. The coal seam seismic exploration and acquisition system according to claim 8, characterized in that, The identification module includes: The correction unit is used to collect sensing data via sensing devices pre-deployed in the exploration area and correct the vibration characteristics. The access unit is used to integrate the fiber optic sensors and sensing devices, construct a sensing network, locate edge devices, and connect the sensing network to the edge devices.

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