Coal seam seismic exploration acquisition method and system

Abstract

The invention is suitable for the technical field of coal seam seismic exploration, and particularly relates to a coal seam seismic exploration acquisition method and system, and the method comprises the steps: delimiting an exploration region where a coal seam earthquake needs to be carried out, dividing the exploration region into a mined region and an unmined region, obtaining a daily mining task in the mined region, and positioning a blasting point location; the unmined area is divided into a plurality of levels, the deployment position of an optical fiber sensor is positioned, the linear distance between the deployment position and a blasting point position is calculated, mapping between the linear distance and the deployment density is established, look-up tables are constructed, each level corresponds to one look-up table, and each look-up table corresponds to a blasting point position; the lookup table is composed of a linear distance item and a deployment density item. According to the method, the coal seam earthquake can be quickly acquired by generating the snapshot, so that the speed and the precision of coal seam seismic exploration can be greatly improved, and the safety management and the resource utilization of an exploration area can be greatly optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of coal seam seismic exploration, and in particular to a coal seam seismic exploration and acquisition method and system. Background Art

[0002] Coal seam seismic exploration is a method that uses artificially excited seismic waves to propagate, reflect and refract in underground coal seams to detect the structure and occurrence status of coal seams. By deploying seismic receiving equipment on the surface or in wells, the reflected seismic signals are collected, and combined with high-resolution seismic data processing and analysis technology, the location, thickness, direction, faults, sinkholes 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 warning and precise positioning mining, and is an important means to achieve intelligent and safe coal mining.

[0003] Traditional seismic exploration is limited by the excitation method and the layout conditions of the receiving equipment. Especially in complex terrain, underground or small areas, the signal attenuation is severe, resulting in a limited effective detection range and difficulty in covering a larger area.

[0004] Therefore, “how to conduct full coverage detection of the exploration area” is the technical problem that the present invention needs to solve. Summary of the Invention

[0005] The purpose of the present invention is to provide a coal seam seismic exploration and acquisition method and system to solve the problem of "how to perform full coverage detection of the exploration area" raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

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

[0008] Delineate the exploration area requiring coal seam seismic exploration and divide it into mined and unmined areas. Obtain daily mining tasks in the mined area and locate blasting points. Divide the unmined area into several levels, locate the deployment locations of fiber optic sensors, calculate the straight-line distance between the deployment locations and the blasting points, establish a mapping between straight-line distance and deployment density, and construct a lookup table, where each level corresponds to a lookup table consisting of straight-line distance items and deployment density items.

[0009] Based on the deployment position and the lookup table, a survey path is generated, reflected light signals are collected via the optical fiber sensor, and vibration characteristics are identified;

[0010] Create branch nodes that correspond one-to-one to the exploration path, mark the deployment location in the exploration path, create leaf nodes corresponding 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 to the control terminal of the daily mining task, and grant the control terminal the triggering permission of the monitoring tree;

[0011] When the monitoring tree receives a trigger command, it extracts several snapshots, establishes a correspondence between the snapshots and blasting points, generates a collection report, and sends the collection report to a preset terminal.

[0012] Furthermore, the step of obtaining daily mining tasks in the mined area and locating blasting points includes:

[0013] Selecting an initial position from the deployment positions, generating an additional path with the blasting point as the starting point and the initial position as the end point, and inserting the additional path into the exploration path;

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

[0015] Furthermore, the step of dividing the unexploited area into several levels and locating the deployment positions of the optical fiber sensors includes:

[0016] Set the depth range, divide it into several levels, and configure the number of each level;

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

[0018] Furthermore, the steps 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 lookup table include:

[0019] Configuring factors affecting the deployment density, wherein the 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 according to the straight-line distance and the blasting level.

[0021] Furthermore, the steps of generating an exploration path based on the deployment position and the lookup table, collecting reflected light signals via the optical fiber sensor, and identifying vibration characteristics include:

[0022] collecting sensing data through sensing equipment pre-deployed in the exploration area and correcting the vibration characteristics;

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

[0024] Furthermore, the steps of creating a leaf node corresponding to the deployment location, synchronizing the vibration characteristics to the corresponding leaf node, integrating the leaf node and the branch node, and generating a monitoring tree include:

[0025] embedding a tilting mechanism into the monitoring tree;

[0026] An evaluation index is selected from the leaf node. When the vibration characteristic exceeds the evaluation index, the monitoring tree is tilted and an alarm reminder is pushed to the control terminal.

[0027] Furthermore, when the monitoring tree receives a trigger command, the steps of capturing a plurality of snapshots, establishing a correspondence between the snapshots and the blasting points, generating a collection report, and sending the collection report to a preset terminal include:

[0028] Integrating all of the snapshots and monitoring trees to generate a vibration map, and inserting a timestamp into the vibration map;

[0029] Determine whether there are abnormal features in the vibration features, and if so, activate a preset handling rule.

[0030] Furthermore, the system includes:

[0031] A construction module is used to delineate the exploration area requiring coal seam seismic exploration and divide it into mined and unmined areas, obtain daily mining tasks in the mined area, locate blasting points, divide the unmined area into several levels, locate the deployment position of the fiber optic sensor, calculate the straight-line distance between the deployment position and the blasting point, establish a mapping between the straight-line distance and the deployment density, and construct a lookup table, wherein each level corresponds to a lookup table, and the lookup table consists of straight-line distance items and deployment density items;

[0032] an identification module for generating an exploration path according to the deployment position and the lookup table, collecting reflected light signals via the optical fiber sensor, and identifying vibration characteristics;

[0033] An open module is used to create branch nodes corresponding to the exploration path, mark the deployment location in the exploration path, create leaf nodes corresponding 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 to the control terminal of the daily mining task, and open the triggering permission of the monitoring tree to the control terminal;

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

[0035] Furthermore, the building blocks include:

[0036] An insertion unit is used to select an initial position from the deployment positions, and generate an additional path with the blasting point as the starting point and the initial position as the end point, and insert the additional path into the exploration path;

[0037] a generating unit, configured to read the monitoring signal in the additional path, traverse the pre-built feature set, and generate an evaluation report, wherein the evaluation report is used to determine the blasting effect of the blasting point;

[0038] The setting unit is used to set the depth range, divide it into several levels, and configure the number of each level;

[0039] an embedding unit, configured to embed a label generated by a number into the exploration path;

[0040] a configuration unit, configured to configure factors affecting the deployment density, wherein the factors affecting the deployment density include at least humidity, air pressure, and terrain;

[0041] An adjustment unit is used to obtain the blasting level of the daily mining task and adjust the deployment density according to the straight-line distance and the blasting level.

[0042] Furthermore, the identification module includes:

[0043] a correction unit, configured to collect sensing data via sensing equipment pre-deployed in the exploration area, and correct the vibration characteristics;

[0044] The access unit is used to integrate the optical fiber sensor and the sensing device, build a sensing network, locate the edge device, and access the sensing network to the edge device.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] By dividing the exploration area, the main manpower, equipment and resources can be concentrated in the unmined area to save costs. By determining the blasting points, there is no need to create artificial seismic sources separately, which significantly reduces the equipment, material and manpower costs, simplifies the operation process, and further improves the exploration efficiency. By constructing a query table, not only can high-precision detection of key areas be achieved, but also unnecessary data redundancy can be reduced and data processing efficiency can be improved. By constructing a monitoring tree, the vibration characteristics of each deployment position can be intuitively displayed, so as to quickly identify abnormal points and improve data interpretation efficiency. By generating snapshots, coal seam seismic data can be quickly collected, which can not only greatly improve the speed and accuracy of coal seam seismic exploration, but also greatly optimize the safety management and resource utilization of the exploration area. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of the structure of a monitoring tree provided by an embodiment of the present invention;

[0048] Figure 2 A flowchart of a coal seam seismic exploration and acquisition method provided by an embodiment of the present invention;

[0049] Figure 3 A block diagram of the first sub-process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention;

[0050] Figure 4 A block diagram of the second sub-process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention;

[0051] Figure 5 A block diagram of the third sub-process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention;

[0052] Figure 6 A fourth sub-flow chart of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention;

[0053] Figure 7 A block diagram of the composition of a coal seam seismic exploration and acquisition system provided by an embodiment of the present invention;

[0054] Figure 8 A block diagram of the components of the building blocks in the coal seam seismic exploration and acquisition system provided by an embodiment of the present invention;

[0055] Figure 9 A block diagram of the composition of an identification module in a coal seam seismic exploration and acquisition system provided by an embodiment of the present invention;

[0056] Figure 10 A block diagram of the composition of open modules in the coal seam seismic exploration and acquisition system provided by an embodiment of the present invention;

[0057] Figure 11This is a block diagram of the composition of the sending module in the coal seam seismic exploration and acquisition system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

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

[0060] S100: Delineate the exploration area where coal seam seismic exploration is required, and divide it into mined areas and unmined areas, obtain daily mining tasks in the mined areas, and locate blasting points. Divide the unmined areas into several levels, locate the deployment position of the fiber optic sensor, calculate the straight-line distance between the deployment position and the blasting point, establish a 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 consists of a straight-line distance item and a deployment density item.

[0061] Based on the geological structure of the coal seam and the mining plan, the area requiring coal seam seismic exploration, i.e., the exploration area, is delineated. Based on actual mining conditions, the exploration area is divided into mined and unmined areas. Mined areas are areas where mining has already taken place and where goafs or damaged layers exist. Generally, coal seam exploration is not required in mined areas. Unmined areas are areas that have not yet entered the mining phase or are unexplored. Daily mining tasks are obtained in the mined areas. Daily mining tasks should include information such as mining progress, operating depth, blasting locations, and intensity. By determining daily mining tasks, existing seismic sources can be fully utilized, eliminating the tedious step of manually creating exploration seismic sources. During daily mining tasks, the locations where blasting is required, i.e., blasting points, are determined. Based on factors such as the geological characteristics, burial depth, and stress distribution of the coal seam, the unmined area is divided into several layers. Each layer represents a relatively independent geological unit, and the layer division includes both horizontal and vertical dimensions. By dividing the layers, the impact of the seismic waves generated by the blasting points on different locations within the exploration area can be further refined.

[0062] The deployment locations of fiber optic sensors should be located. The deployment locations should cover key areas in each layer, especially areas where there may be geological hazards, faults or stress concentrations. In addition, the installation location of the fiber optic sensor should also take into account the difficulty of optical fiber installation, signal transmission efficiency and monitoring accuracy, and the fiber optic sensors should be connected using single-mode and multi-mode optical fibers. The straight-line distance between each deployment location (fiber optic sensor) and the blasting point should be calculated to evaluate the vibration wave generated by the blasting and its propagation range.

[0063] Each level corresponds to an independent lookup table, which includes: straight-line distance items (the straight-line distance from the fiber optic sensor to the blasting point) and deployment density items (such as the length of the detection fiber per unit area). Using the lookup table, the detection accuracy of different levels can be differentiated.

[0064] In this application, fiber optic sensors are deployed in key nodes in the exploration area, and all fiber optic sensors are connected using detection optical fibers in combination with a nearest neighbor algorithm. In other words, using fiber optic sensors to process reflected light signals in corresponding independent monitoring areas can improve spatial resolution and enable refined exploration of the exploration area. In addition, the number of fiber optic sensors is determined by the area of the unexploited area and the length of the detection optical fibers.

[0065] S200: Based on the deployment position and the lookup table, an exploration path is generated, reflected light signals are collected via the optical fiber sensor, and vibration characteristics are identified.

[0066] Use detection optical fiber to connect all fiber optic sensors, and define the area through which the detection optical fiber passes as the exploration path. The reflected light signal in the detection optical fiber is collected in real time. The reflected light signal is generated by the interaction between seismic waves and underground media when propagating in coal seams or geological structures. The tiny vibrations and stress changes caused by the seismic waves are recorded. By analyzing the time delay and frequency changes of the reflected light signal, the vibration characteristics such as the amplitude, frequency and propagation speed of the vibration are identified, thereby accurately identifying the position, thickness, direction, faults, sinkholes and other geological anomalies of the coal seam.

[0067] S300: Create branch nodes corresponding to the exploration path one by one, mark the deployment location in the exploration path, create leaf nodes corresponding 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 to the control terminal of the daily mining task, and open the triggering authority of the monitoring tree to the control terminal.

[0068] Create branch nodes that correspond one-to-one to the exploration path, where the branch nodes are mainly used to intuitively display the distribution and direction of the detection optical fiber, etc. Create leaf nodes that correspond one-to-one to the deployment location, where the leaf nodes are mainly used to determine the data processing points of the transmitted optical signal. The detection optical fiber between the two optical fiber sensors is defined as a segment. Each optical fiber sensor is responsible for processing the reflected light signal within a segment. The vibration characteristics in each segment are synchronized to the leaf nodes. The leaf nodes and branch nodes are integrated to generate a monitoring tree, where the monitoring tree is a tree-like data structure that can explain the vibration distribution in unmined areas.

[0069] Determine the control terminal for daily mining tasks, where the control terminal refers to the equipment used to control blasting. The control terminal can be an electric detonator control system or a wireless blasting control system, etc. When the control terminal starts working or enters the blasting preparation program, the trigger authority is used to update the monitoring tree in real time.

[0070] S400: When the monitoring tree receives a trigger command, it extracts several snapshots, establishes a correspondence between the snapshots and blasting points, generates a collection report, and sends the collection report to a preset terminal.

[0071] Using the trigger authority, a trigger command is generated and sent to the monitoring tree. From the monitoring tree, several snapshots containing vibration characteristics are intercepted, and a correspondence between the snapshots and the blasting points is established to ensure that the exploration data corresponding to each snapshot accurately matches the spatial location and time of the blasting. In other words, the snapshots are used to record the seismic data generated during the blasting, and the snapshots corresponding to a single blasting are integrated. Combined with the analysis results of the vibration characteristics, a collection report is generated and sent to the preset terminal, where the preset terminal can be the exploration area management personnel terminal.

[0072] In Example 2, Figure 3 The implementation process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention is shown. The steps of obtaining daily mining tasks in the mined area and locating blasting points are described in detail below:

[0073] S101: Select an initial position from the deployment positions, and generate an additional path with the blasting point as the starting point and the initial position as the end point, and insert it into the exploration path.

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

[0075] S102: Reading the monitoring signal in the additional path, traversing the pre-built feature set, and generating an evaluation report, wherein the evaluation report is used to judge the blasting effect of the blasting point.

[0076] Using a detection optical fiber, the starting point and the end point are connected, and the emitted light signal in the additional path is collected. This reflected light signal is defined as a monitoring signal, and the pre-constructed feature set is traversed. The feature set contains vibration feature templates of multiple dimensions such as various typical earthquakes, rock structure anomalies and blasting fluctuations. The degree of match between the monitoring signal of the additional path and the various features in the feature set is compared, and the comparison results are filled into the preset template to generate an evaluation report. The evaluation report is mainly used to determine the geological state or 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 the blasting meets the expectations.

[0077] In Example 3, Figure 3 The implementation process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention is shown. The steps of dividing the unmined area into several layers and locating the deployment positions of the optical fiber sensors are described in detail as follows:

[0078] S103: Set the depth range, divide it into several levels, and configure the number of each level.

[0079] In addition to the location of the exploration area, it can also be divided into levels according to 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 in advance by the exploration area manager.

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

[0081] Labels are generated using the numbers and inserted into the exploration paths; by generating the labels, the exploration area corresponding to each exploration path can be intuitively displayed.

[0082] In Example 4, Figure 3 The implementation process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention is shown. The following details the steps 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.

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

[0084] The deployment density of detection optical fibers is not only affected by the straight-line distance, but also closely related to the humidity, air pressure, and terrain at the deployment location.

[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] Obtain the corresponding blasting level in daily mining tasks. The blasting level reflects the intensity of the blasting operation, the range of energy release, and the degree of its impact on the surrounding strata. Dynamically adjust the deployment density of fiber optic sensors based on the relationship between the blasting level and the straight-line distance. Furthermore, for areas with high blasting levels and close distances, the deployment density should be increased accordingly to enhance the accuracy and timeliness of local data collection. In areas with low blasting levels or long distances, the deployment density should be appropriately reduced to optimize resource allocation and avoid redundant collection.

[0087] In Example 5, Figure 4 The implementation process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention is shown. The following details the steps of generating an exploration path based on the deployment position and the query table, collecting reflected light signals via the optical fiber sensor, and identifying vibration characteristics.

[0088] S201: Collecting sensing data via sensing equipment pre-deployed in the exploration area and correcting the vibration characteristics.

[0089] Through the use of various sensing devices pre-deployed in the exploration area, such as seismic detectors, sensor data is collected, including vibration signals generated by the stratum under the action of the earthquake source and environmental interference data. Combined with geological models and historical data, interference signals generated by non-coal seam structures in the sensor data, such as equipment noise, shallow echoes or surface reflections, are identified and eliminated, thereby correcting the propagation path, energy attenuation law and reflection pattern of the vibration characteristics, so as to improve the accuracy and precision of the exploration.

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

[0091] Integrate fiber optic sensors and other sensing devices at all levels to build a sensor network; the sensor network establishes linkages among different types of sensor devices through a unified communication protocol and data format to form a distributed sensing system; in the exploration area, locate edge devices with computing, storage, and communication capabilities, such as ground base stations, mobile edge gateways, or edge servers near the mining area, as the nearest processing center of the sensor network, and connect all sensor devices in the sensor network to the edge devices.

[0092] In Example 6, Figure 5 The implementation process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention is shown. The steps of creating a leaf node corresponding to the deployment location, synchronizing the vibration characteristics to the corresponding leaf node, integrating the leaf node and branch node, and generating a monitoring tree are described in detail below:

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

[0094] S302: Select an evaluation index from the leaf node, and when the vibration feature exceeds the evaluation index, tilt the monitoring tree and push 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 vibration feature exceeds the corresponding evaluation index, the tilting mechanism is activated. The tilting mechanism is to tilt the monitoring tree to a specific angle. Specifically, the proportion of vibration features 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 inclination angle of the monitoring tree is greater than the threshold, it means that the vibration characteristics exceed the evaluation index by a large proportion, and the exploration area corresponding to the vibration characteristics may experience landslides and crack expansion, etc., and an alarm reminder is pushed to the control terminal to prevent staff from entering the exploration area corresponding to the vibration characteristics.

[0097] In Example 7, Figure 6 The implementation process of the coal seam seismic exploration and acquisition method provided by an embodiment of the present invention is shown. The following details the steps of intercepting several snapshots, establishing a correspondence between the snapshots and blasting points, generating an acquisition report, and sending the acquisition report to a preset terminal after the monitoring tree receives a trigger command.

[0098] S401: Integrate all the snapshots and monitoring trees to generate a vibration map, and insert a timestamp into the vibration map.

[0099] The snapshots generated by a single blast and the monitoring tree are integrated to obtain a vibration map, which can fully reflect the seismic conditions and changing trends in the exploration area. Timestamps are inserted into the vibration map to provide a temporal data basis for subsequent vibration analysis.

[0100] S402: Determine whether there are abnormal features in the vibration features. If yes, activate a preset handling rule.

[0101] Create a set consisting of several abnormal features. If the vibration features have the same items in the set, it means that the vibration features may have abnormal frequency, amplitude, propagation speed or duration, etc. The handling rules can be: notify staff to conduct on-site inspection of the earthquake situation and initiate emergency response procedures, etc.

[0102] Figure 7 The following is a structural block diagram of a coal seam seismic exploration and acquisition system according to an embodiment of the present invention. The coal seam seismic exploration and acquisition system 1 includes:

[0103] Construction module 11 is used to delineate the exploration area requiring coal seam seismic exploration and divide it into mined and unmined areas, obtain daily mining tasks in the mined area, locate blasting points, divide the unmined area into several levels, locate the deployment position of the fiber optic sensor, calculate the straight-line distance between the deployment position and the blasting point, establish a mapping between the straight-line distance and the deployment density, and construct a lookup table, wherein each level corresponds to a lookup table, and the lookup table consists of a distance item and a deployment density item;

[0104] an identification module 12 for generating an exploration path according to the deployment position and the lookup table, collecting reflected light signals via the optical fiber sensor, and identifying vibration characteristics;

[0105] An open module 13 is configured to create branch nodes corresponding to the exploration paths, mark the deployment locations in the exploration paths, create leaf nodes corresponding to the deployment locations, synchronize the vibration characteristics to the corresponding leaf nodes, integrate the leaf nodes and branch nodes, generate a monitoring tree, trace back to the control terminal of the daily mining task, and grant the control terminal triggering authority for the monitoring tree;

[0106] The sending module 14 is used to intercept a number of snapshots after the monitoring tree receives the trigger command, establish a corresponding relationship between the snapshots and the blasting points, generate a collection report, and send the collection report to a preset terminal.

[0107] Figure 8 The structure block diagram of the coal seam seismic exploration and acquisition system provided by an embodiment of the present invention is shown. The building block 11 includes:

[0108] An inserting unit 111 is configured to select an initial position from the deployment positions, and generate an additional path with the blasting point as the starting point and the initial position as the end point, and insert the additional path into the exploration path;

[0109] A generating unit 112 is configured to read the monitoring signal in the additional path, traverse the pre-built feature set, and generate an evaluation report, wherein the evaluation report is used to determine the blasting effect of the blasting point;

[0110] The setting unit 113 is used to set the depth interval, divide it into several levels, and configure the number of each level;

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

[0112] A configuration unit 115 is configured to configure factors affecting the deployment density, wherein the factors at least include humidity, air pressure, and terrain;

[0113] The adjustment unit 116 is configured 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.

[0114] Figure 9 The structure block diagram of the coal seam seismic exploration and acquisition system provided by an embodiment of the present invention is shown. The identification module 12 includes:

[0115] a correction unit 121 for collecting sensor data and correcting the vibration characteristics via sensor equipment pre-deployed in the exploration area;

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

[0117] Figure 10 The following is a structural block diagram of the coal seam seismic exploration and acquisition system provided by an embodiment of the present invention. The open module 13 includes:

[0118] A tilting unit 131, configured to embed a tilting 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 structure block diagram of the coal seam seismic exploration and acquisition system provided by an embodiment of the present invention is shown. The sending module 14 includes:

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

[0122] The activation unit 142 is configured to determine whether the vibration characteristics contain abnormal characteristics, and if so, activate a preset handling 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 inserting unit 111 is mainly used to complete step S101, the generating 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 configuring unit 115 is mainly used to complete step S105, and the adjusting 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 tilt 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-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned 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 above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall 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 in the scope of protection of the present invention.

Claims

1. A coal seam seismic exploration and acquisition method, characterized in that: The method comprises: Delineate the exploration area requiring coal seam seismic exploration and divide it into mined and unmined areas. Obtain daily mining tasks in the mined area and locate blasting points. Divide the unmined area into several levels, locate the deployment locations of fiber optic sensors, calculate the straight-line distance between the deployment locations and the blasting points, establish a mapping between straight-line distance and deployment density, and construct a lookup table, where each level corresponds to a lookup table consisting of straight-line distance items and deployment density items. Based on the deployment position and the lookup table, a survey path is generated, reflected light signals are collected via the optical fiber sensor, and vibration characteristics are identified; Create branch nodes that correspond one-to-one to the exploration path, mark the deployment location in the exploration path, create leaf nodes corresponding 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 to 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 a trigger command, it extracts several snapshots, establishes a correspondence between the snapshots and blasting points, generates a collection report, and sends the collection report to a preset terminal.

2. The coal seam seismic exploration and acquisition method according to claim 1, characterized in that: The steps of obtaining daily mining tasks in the mined area and locating blasting points include: Selecting an initial position from the deployment positions, generating an additional path with the blasting point as the starting point and the initial position as the end point, and inserting the additional path into the exploration path; The monitoring signal in the additional path is read out, the pre-built feature set is traversed, and an evaluation report is generated, wherein the evaluation report is used to judge the blasting effect of the blasting point.

3. The coal seam seismic exploration and acquisition method according to claim 2, characterized in that: The step of dividing the unexploited area into several levels and locating the deployment positions of the optical fiber sensors includes: Set the depth range, divide it into several levels, and configure the number of each level; A label generated by the number is embedded into the exploration path.

4. The coal seam seismic exploration and acquisition method according to claim 1, characterized in that: The steps 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 lookup table include: Configuring factors affecting the deployment density, wherein the factors at least include: humidity, air pressure, and terrain; The blasting level of the daily mining task is obtained, and the deployment density is adjusted according to the straight-line distance and the blasting level.

5. The coal seam seismic exploration and acquisition method according to claim 1, characterized in that: The steps of generating an exploration path based on the deployment position and the lookup table, collecting reflected light signals via the optical fiber sensor, and identifying vibration characteristics include: collecting sensing data through sensing equipment pre-deployed in the exploration area and correcting the vibration characteristics; Integrate the optical fiber sensor and sensing equipment to build a sensing network, locate the edge device, and connect the sensing network to the edge device.

6. The coal seam seismic exploration and acquisition method according to claim 4, characterized in that: The steps of creating a leaf node corresponding to the deployment location, synchronizing the vibration characteristics to the corresponding leaf node, integrating the leaf node and the branch node, and generating a monitoring tree include: embedding a tilting mechanism into the monitoring tree; An evaluation index is selected from the leaf node. When the vibration characteristic exceeds the evaluation index, the monitoring tree is tilted and an alarm reminder is pushed to the control terminal.

7. The coal seam seismic exploration and acquisition method according to claim 6, characterized in that: The steps of intercepting a plurality of snapshots after the monitoring tree receives a trigger command, establishing a correspondence between the snapshots and blasting points, generating a collection report, and sending the collection report to a preset terminal include: Integrating all of the snapshots and monitoring trees to generate a vibration map, and inserting a timestamp into the vibration map; Determine whether there are abnormal features in the vibration features, and if so, activate a preset handling rule.

8. A coal seam seismic exploration and acquisition system, characterized in that: The system comprises: A construction module is used to delineate the exploration area requiring coal seam seismic exploration and divide it into mined and unmined areas, obtain daily mining tasks in the mined area, locate blasting points, divide the unmined area into several levels, locate the deployment position of the fiber optic sensor, calculate the straight-line distance between the deployment position and the blasting point, establish a mapping between the straight-line distance and the deployment density, and construct a lookup table, wherein each level corresponds to a lookup table, and the lookup table consists of straight-line distance items and deployment density items; an identification module for generating an exploration path according to the deployment position and the lookup table, collecting reflected light signals via the optical fiber sensor, and identifying vibration characteristics; An open module is used to create branch nodes corresponding to the exploration path, mark the deployment location in the exploration path, create leaf nodes corresponding 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 to the control terminal of the daily mining task, and open the triggering permission of the monitoring tree to the control terminal; The sending module is used to intercept a number of snapshots after the monitoring tree receives the trigger command, establish a corresponding relationship 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 blocks include: An insertion unit is used to select an initial position from the deployment positions, and generate an additional path with the blasting point as the starting point and the initial position as the end point, and insert the additional path into the exploration path; a generating unit, configured to read the monitoring signal in the additional path, traverse the pre-built feature set, and generate an evaluation report, wherein the evaluation report is used to determine 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, configured to embed a label generated by a number into the exploration path; a configuration unit, configured to configure factors affecting the deployment density, wherein the factors affecting the deployment density 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 according to 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: a correction unit, configured to collect sensing data via sensing equipment pre-deployed in the exploration area, and correct the vibration characteristics; The access unit is used to integrate the optical fiber sensor and the sensing device, build a sensing network, locate the edge device, and access the sensing network to the edge device.

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