Construction quality monitoring management method for underground mine roadway supporting device

Abstract

The invention discloses a construction quality monitoring management method for an underground mine roadway supporting device, and relates to the technical field of roadway supporting management, and the method comprises the steps: determining the basic information of the roadway supporting device based on a construction drawing; configuring construction monitoring standards according to the basic information, and transmitting the construction monitoring standards to the central control module to analyze and determine working condition monitoring parameters; determining real-time monitoring data; abnormal working condition analysis and risk point prediction are carried out on the real-time monitoring data, and construction working condition deviation information of the roadway supporting device is determined; according to the construction working condition deviation information, a calibration compensation scheme of the roadway supporting device is formulated, and real-time construction management is carried out. The technical problems of poor effectiveness and stability of the supporting device caused by incomplete monitoring of supporting construction information, untimely reaction and inaccurate data analysis in the construction quality monitoring management of the existing underground mine roadway supporting device are solved. The technical effects of improving the construction quality, the construction efficiency and the effectiveness and the stability of the supporting device are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to tunnel support management, and specifically to a construction quality monitoring and management method for underground mine tunnel support devices. Background Art

[0002] In the process of underground mining, the construction quality of the tunnel support device is directly related to the safe production, economic benefits and life safety of the mine workers. With the continuous advancement of mining technology and the increase in mining depth, the geological conditions faced by tunnel support are becoming increasingly complex, which puts higher requirements on the construction quality of the support device. However, traditional tunnel support construction quality monitoring often relies on manual inspections and experience judgments, and there are problems such as incomplete monitoring, untimely response, and inaccurate data analysis. These problems not only make it difficult to ensure the effectiveness and stability of the support device, but may also lead to safety accidents due to failure to timely discover and deal with potential risks.

[0003] Therefore, in the current technologies related to construction quality monitoring and management of underground mine tunnel support devices, there are technical problems such as incomplete monitoring of support construction information, untimely response, and inaccurate data analysis, which lead to poor effectiveness and stability of the support devices. Summary of the invention

[0004] The present application provides a construction quality monitoring and management method for underground mine tunnel support devices, thereby solving the technical problems existing in the existing construction quality monitoring and management of underground mine tunnel support devices, such as incomplete support construction information monitoring, untimely response, and inaccurate data analysis, which in turn leads to poor effectiveness and stability of the support devices, thereby achieving the technical effect of improving construction quality, construction efficiency, and effectiveness and stability of the support devices.

[0005] The present application provides a construction quality monitoring and management method for an underground mine tunnel support device, the method comprising: determining basic information of the tunnel support device based on a construction drawing, the basic information comprising roof data, anchor cable data, and support data, wherein the support data comprises unit support data and working face hydraulic support data; configuring a construction monitoring standard according to the basic information, and transmitting the information to a central control module for analysis to determine working condition monitoring parameters; based on the working condition monitoring parameters, using a plurality of terminal sensing devices to conduct real-time construction quality monitoring of the target mine tunnel support, and determining real-time monitoring data; acquiring historical data of tunnel supports of the same scale, constructing a construction quality supervision model in combination with the construction monitoring standard, conducting abnormal working condition analysis and risk point prediction on the real-time monitoring data, and determining construction working condition deviation information of the tunnel support device; formulating a calibration compensation plan for the tunnel support device according to the construction working condition deviation information, and conducting real-time construction management.

[0006] In a possible implementation, the basic information of the tunnel support device is determined by performing the following processing: obtaining the construction drawings of the target mine tunnel support, including the general plan, cross-sectional view and support structure details; from the support structure details, identifying and obtaining the type, components and corresponding dimensional parameters of the tunnel support device, including the basic data of the support top plate, the basic data of the anchor cable, the basic data of the unit support and the basic data of the working hydraulic support.

[0007] In a possible implementation, the construction quality monitoring and management method of an underground mine tunnel support device performs the following processing: the central control module has a built-in data processing unit, and the data processing unit is used to receive the basic information and perform standardized processing, and compare the processing results with a preset safety threshold to determine the safety status of the tunnel support structure.

[0008] In a possible implementation, the construction monitoring standards are configured according to the basic information, transmitted to the central control module for analysis and determination of the working condition monitoring parameters, and the following processing is also performed: the basic data of the supporting top plate, the basic data of the anchor cable, the basic data of the unit bracket and the basic data of the working hydraulic bracket are analyzed to determine multiple construction monitoring items, including top plate displacement, anchor cable pull-out force and load, and bracket stress and shrinkage; based on the construction monitoring items, multiple construction monitoring standards are set, including the displacement threshold of the supporting top plate, the allowable error of the anchor cable pull-out force and load, and the safety limit of the bracket stress and shrinkage; according to the multiple construction monitoring standards, the installation position and layout are determined and multiple terminal sensing devices are deployed to obtain multiple working condition monitoring parameters.

[0009] In a possible implementation, based on the working condition monitoring parameters, the terminal sensing equipment is used to perform real-time construction quality monitoring of the target mine tunnel support, and the following processing is also performed: the multiple terminal sensing equipment includes a roof separation monitor, an anchor force monitor, a displacement monitor and a support force monitor; multiple groups of displacement monitoring sections are arranged according to the tunnel position, and each group of displacement monitoring points includes a support roof and a tunnel bottom plate, wherein the line connecting the displacement monitoring points of the support roof and the tunnel bottom plate is perpendicular to the line connecting the measuring points on both sides of the tunnel , measure the distance from each displacement monitoring point to the reference point respectively, accumulate the difference between two adjacent monitoring data, and obtain the relative total displacement of the two points; use the roof delamination indicator to monitor the delamination value of the tunnel roof; use the anchor tensioning machine to detect the pull-out resistance of the anchor, and when the pull-out resistance of the anchor reaches the design value of the anchor, unload and stop pulling; use the anchor dynamometer to detect the load of the anchor and obtain the working axial force data of the anchor; install a pressure detection gauge on the bracket support body, record the pressure data of the single pillar in real time, and measure the compression of the support body.

[0010] In a possible implementation, historical data of similar tunnel supports are obtained, and a construction quality supervision model is constructed in combination with the construction monitoring standards. The following processing is also performed: the historical data of tunnel supports of the same scale are traversed and retrieved from the tunnel support project knowledge base; the deformation conditions, failure modes and maintenance records of the support devices in the historical data of tunnel supports of the same scale are analyzed and obtained; and the construction quality supervision model is trained based on a neural network according to the construction monitoring standards, the deformation conditions, failure modes and maintenance records of the support devices.

[0011] In a possible implementation, the real-time monitoring data is subjected to abnormal condition analysis and risk point prediction to determine the construction condition deviation information of the tunnel support device, and the following processing is also performed: based on the construction quality supervision model, the abnormal construction characteristics of the real-time monitoring data are determined, wherein the abnormal construction characteristics have a characteristic deviation degree; if the characteristic deviation degree meets the characteristic deviation threshold, a risk warning instruction is generated; if the characteristic deviation degree does not meet the characteristic deviation threshold, the risk point of the mine tunnel is predicted; based on the abnormal construction characteristics, the risk warning instruction and the risk point, the condition deviation information is determined.

[0012] In a possible implementation, the construction quality monitoring and management method of an underground mine tunnel support device further performs the following processing: according to the construction monitoring results, the calibration compensation scheme is optimized and adjusted based on a feedback mechanism.

[0013] A construction quality monitoring and management method for underground mine tunnel support devices proposed in this application is proposed. Based on the construction drawings, the basic information of the tunnel support device is determined, and the basic information includes roof data, anchor cable data, and support data, wherein the support data includes unit support data and working face hydraulic support data; the construction monitoring standard is configured according to the basic information, and the result is transmitted to the central control module for analysis to determine the working condition monitoring parameters; based on the working condition monitoring parameters, a plurality of terminal sensing devices are used to conduct real-time construction quality monitoring of the target mine tunnel support to determine the real-time monitoring data; the historical data of tunnel support of the same scale is obtained, and the real-time monitoring data is determined by combining the historical data of the tunnel support of the same scale with the data of the central control module. The construction quality supervision model is constructed based on the construction monitoring standards, abnormal working condition analysis and risk point prediction are performed on the real-time monitoring data, and the construction condition deviation information of the tunnel support device is determined; according to the construction condition deviation information, a calibration compensation plan for the tunnel support device is formulated, and real-time construction management is carried out, which solves the technical problems existing in the existing construction quality monitoring and management of underground mine tunnel support devices, such as incomplete support construction information monitoring, untimely response, inaccurate data analysis, and thus poor effectiveness and stability of the support device, and achieves the technical effect of improving construction quality, construction efficiency, and effectiveness and stability of the support device. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the method according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of a construction quality monitoring and management method for an underground mine tunnel support device provided in an embodiment of the present application;

[0016] Figure 2 A schematic diagram of a process for obtaining working condition monitoring parameters in a construction quality monitoring and management method for an underground mine tunnel support device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0018] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0019] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0020] The present application embodiment provides a construction quality monitoring and management method for an underground mine tunnel support device, such as Figure 1 As shown, the method includes:

[0021] Step S100, based on the construction drawings, determine the basic information of the tunnel support device, the basic information includes roof data, anchor cable data, support data, wherein the support data includes unit support data and working face hydraulic support data. Roof data mainly refers to the geological conditions and physical and mechanical properties of the tunnel roof, which may include but are not limited to the lithology of the roof, describing the rock type of the roof, such as sandstone, mudstone, coal seam, etc.; thickness and strength, the thickness of the roof rock layer and the strength of the rock, are the key factors determining the support method and support strength; stability evaluation, a comprehensive evaluation of the stability of the roof, including whether there are structures such as joints, fissures, faults, and possible deformation and failure modes of the roof. Anchor cable data mainly involves the use of anchor cables in tunnel support, including anchor cable specifications, anchor cable diameter, length, material and other specification parameters; layout mode, anchor cable layout position and angle in the tunnel, such as horizontal layout, inclined layout, etc.; anchoring force, anchor cable anchoring force, that is, the maximum tension that the anchor cable can provide; number and spacing, the number of anchor cables in the tunnel and the spacing between adjacent anchor cables depend on factors such as the span of the tunnel, the thickness and strength of the roof rock layer. Support data is the core part of the tunnel support device, including unit support data and working face hydraulic support data, among which, unit support is a support structure composed of multiple units, used to support and fix the tunnel surrounding rock, mainly including support types, such as steel arch, steel beam, reinforced concrete and other different types of supports; size and specifications, support width, height, thickness and other dimensional parameters, as well as the specification requirements of each component; bearing capacity, the maximum load that the support can withstand, including roof pressure, side wall pressure, etc.; connection method, the connection method between each unit, such as welding, bolt connection, etc. The working face hydraulic support is a commonly used support equipment in underground mines such as coal mines. It has the characteristics of automation and high efficiency. Its data mainly include support type, such as shield support, support support, support shield support, etc.; height and width, the adjustable height range and width of the support to meet the requirements of different mining heights and lane widths; support capacity includes initial support force, working resistance, etc., which determines the support effect of the support on the roof; control method, the control method of the support, such as self-frame control, adjacent frame control, group control, etc., and control principle, such as hydraulic direct control, electro-hydraulic control, etc.

[0022] In a possible implementation, step S100 further includes step S110, obtaining construction drawings of the target mine tunnel support, including a general plan, a cross-sectional view, and detailed drawings of the support structure. The general plan is a macroscopic display of the entire tunnel support project, showing the overall layout of the tunnel in the mine, including the direction, length, width, height of the tunnel, and the connection relationship with other tunnels or facilities, reflecting the topographical features of the area where the tunnel is located, such as slope, elevation changes, etc., which helps to understand the construction environment; marking various facilities in the tunnel, such as ventilation equipment, drainage systems, power supply lines, etc., as well as their locations and layouts; the cross-sectional view is a vertical or horizontal cross-sectional display of the tunnel support project, which can show in detail the internal structure and hierarchical relationship of the support structure, mainly showing the various levels of the tunnel support structure, such as temporary support layers, permanent support layers, etc., and their relationships. The relative position and relationship between them are marked, and the types, specifications and quantities of materials used in the support structure, such as anchor rods, anchor cables, steel frames, concrete, etc. are marked, and the detailed parameters of the support structure, such as the diameter, length, spacing of the anchor rods, the tension of the anchor cables, etc.; the support structure detail drawing is the detailed design drawing of the support structure, which provides the detailed construction and installation requirements of the support structure, and shows in detail the various components of the support structure and their mutual connection relationships, such as the installation position, angle and depth of the anchor rods, the arrangement and tensioning method of the anchor cables, etc., and clarifies the installation requirements and precautions of the support structure, such as the drilling diameter, depth and quality requirements of the anchor rods, the tensioning sequence and tension control of the anchor cables, etc.

[0023] The method further includes step S120, wherein the type, components and corresponding size parameters of the tunnel support device are identified and obtained from the support structure detailed drawing, including basic data of the support top plate, basic data of the anchor cable, basic data of the unit support and basic data of the working hydraulic support. The basic data of the supporting roof depends on the geological conditions, span, thickness and strength of the roof rock layer of the tunnel. The roof support usually adopts steel arch or steel frame support. The size design needs to ensure that it can withstand the roof pressure and maintain the stability of the tunnel. Anchor cable support is an important means to reinforce the tunnel roof. The basic data of the anchor cable include diameter, length, row spacing, spacing, anchoring length, exposed length, etc. For example, the diameter of the anchor cable may be 15.24mm, the row spacing is 2000mm, and the spacing is 1600mm. The anchor cable length and drilling depth are determined according to specific needs. Unit support is relatively rare in tunnel support, but it may be used under certain specific conditions. Its basic data includes the material, size, bearing capacity, and retractable amount of the support. The working hydraulic support is mainly used for the support of the fully mechanized mining working face of coal mines. Its structure is complex, including multiple components such as base, column, top beam, etc. The basic data includes the height, width, working resistance, support strength, pushing force, etc. of the support, which is crucial to ensure the safety and production efficiency of the working face.

[0024] Step S200, configure the construction monitoring standards according to the basic information, and transmit it to the central control module for analysis to determine the working condition monitoring parameters. Integrate the basic information of the tunnel support device determined in the construction drawings, including roof data, anchor cable data, and bracket data, etc. Through in-depth analysis of these basic information, we can understand the actual geological conditions of the tunnel, the characteristics and requirements of the support structure, and the possible construction risks. Based on the analysis results of the basic information, configure the corresponding construction monitoring standards. Specifically, clarify the physical quantities or performance characteristics that need to be monitored, such as roof pressure, anchor cable tension, bracket deformation, etc., specify the monitoring time interval to ensure the continuity and real-time nature of the data, set the accuracy requirements for the monitoring data to ensure the accuracy and reliability of the data, and set the alarm thresholds for each monitoring parameter so that when the data is abnormal and An alarm is issued and the configured construction monitoring standards are transmitted to the central control module. The central control module is the core of the entire monitoring management system and is responsible for receiving, processing and analyzing data from various monitoring points. Through the central control module, real-time monitoring and dynamic management of the entire construction process can be achieved; after receiving the construction monitoring standards, the central control module processes and analyzes the real-time monitoring data according to these standards. Specifically, it receives data from various monitoring points in real time, performs pre-processing work such as cleaning, verification and formatting on the received data, uses data mining and other methods to analyze the pre-processed data, extracts useful information, and determines the monitoring parameter values ​​under the current working conditions based on the analysis results.

[0025] In a possible implementation, step S200 further includes: the central control module has a built-in data processing unit, and the data processing unit is used to receive the basic information and perform standardized processing, and compare the processing result with a preset safety threshold to determine the safety status of the tunnel support structure. The data processing unit first receives basic information from various sensors, monitoring equipment, etc., including stress changes in the tunnel surrounding rock, deformation of the support structure, stress state of anchor rods or cables, etc., and performs standardized processing to ensure data consistency and comparability, which may include data cleaning (removing noise, outliers, etc.), data conversion (converting data of different dimensions into a unified dimension) and data compression (reducing the amount of data to improve processing efficiency), etc. According to the design requirements, geological conditions, historical experience and other factors of the tunnel support structure, a series of safety thresholds are preset to determine whether the support structure is in a safe state. The data after standardized processing will be used for comparison with the preset safety threshold. According to the comparison results, the data processing unit will determine the safety state of the tunnel support structure. If the processing result is lower than the safety threshold, the support structure is considered to be in a safe state; if it is higher than the safety threshold, an alarm may be issued or corresponding remedial measures may be taken.

[0026] In one possible implementation, Figure 2As shown, step S200 further includes step S210, analyzing the basic data of the supporting roof, the basic data of the anchor cable, the basic data of the unit support, and the basic data of the working hydraulic support, and determining multiple construction monitoring items, including roof displacement, anchor cable pull-out force and load, and support force and shrinkage. Analyze the material, thickness, and strength of the supporting roof, consider the geological conditions, stress distribution, and possible deformation trends of the roof, and determine the displacement of the roof as a construction monitoring item; analyze the material, diameter, length, anchoring force, and other parameters of the anchor cable, consider the role of the anchor cable in the support system and its force characteristics, and determine the anchor cable pull-out force and load as key monitoring items; analyze the structural form, bearing capacity, stability, etc. of the support, consider the specific role of the support in the tunnel support and its force conditions, and determine the support force and shrinkage as monitoring items; analyze the working pressure, hydraulic system performance, support structure, etc. of the hydraulic support, consider the role of the hydraulic support in the coal mining process and its dynamic characteristics, and determine the hydraulic support force as a monitoring item.

[0027] It also includes step S220, based on the construction monitoring project, setting multiple construction monitoring standards, including the displacement threshold of the support top plate, the allowable error of the pull-out force and load of the anchor cable, and the safety limit of the support force and shrinkage. According to the design requirements, geological conditions and historical experience of the support top plate, the maximum allowable displacement of the top plate is set, that is, the displacement threshold of the support top plate, to ensure that the top plate deforms within the allowable range and does not affect the stability and safety of the tunnel; the allowable error range of the pull-out force and load of the anchor cable is set to evaluate the deviation between the actual working state of the anchor cable and the design requirements; according to the design parameters, bearing capacity and actual conditions of the surrounding rock of the tunnel, the safety limit of the support force is set, and at the same time, the safety limit of the support shrinkage is set to monitor the deformation of the support during the force process.

[0028] It also includes step S230, according to the multiple construction monitoring standards, determine the installation position and layout method and deploy multiple terminal sensing devices to obtain multiple working condition monitoring parameters. According to the needs of the construction monitoring project, determine the installation position and layout method of the terminal sensing equipment. For roof displacement monitoring, displacement sensors can be installed on the roof surface or key positions. For anchor cable pull-out force and load monitoring, tension sensors or strain gauges can be installed on the anchor cable. For support force and shrinkage monitoring, stress sensors or displacement sensors can be installed at key positions of the support. Through the deployed terminal sensing equipment, the working condition monitoring parameters of the supporting roof, anchor cable, unit support and working hydraulic support are obtained in real time, including roof displacement, anchor cable pull-out force and load value, support force condition and shrinkage, etc., providing an important basis for the safety assessment and construction management of the tunnel support structure.

[0029] Step S300, based on the working condition monitoring parameters, multiple terminal sensing devices are used to monitor the construction quality of the target mine tunnel support in real time to determine the real-time monitoring data. The working condition monitoring parameters may include but are not limited to the pressure and displacement of the tunnel roof, the tension of the anchor cable, the deformation of the bracket, the stress distribution, etc., which can fully reflect the working state and construction quality of the tunnel support device. According to the requirements of the monitoring parameters, appropriate terminal sensing devices are selected. These devices may include pressure sensors, displacement sensors, tension sensors, strain gauges, stress gauges, etc., which have the characteristics of high precision, high stability, and strong anti-interference ability to ensure the accuracy and reliability of the monitoring data; the selected sensing devices are deployed on the target mine tunnel support structure according to the predetermined position and method, and the monitoring data of the tunnel support device is collected in real time through the deployed terminal sensing devices. These data may include pressure values, displacement values, tension values, stress distribution, etc. The collected data is transmitted to the data processing center or the central control module by wired or wireless means. During the transmission process, the integrity and real-time nature of the data should be ensured to avoid data loss or delay.

[0030] In a possible implementation, step S300 further includes step S310, wherein the plurality of terminal sensing devices include a roof separation monitor, an anchor force monitor, a displacement monitor, and a support force monitor; and step S320, wherein a plurality of groups of displacement monitoring sections are arranged according to the tunnel position, and each group of displacement monitoring points includes a support roof and a tunnel bottom plate, wherein a line connecting the displacement monitoring points of the support roof and the tunnel bottom plate is perpendicular to a line connecting the measuring points on both sides of the tunnel, and the distance from each displacement monitoring point to the reference point is measured respectively, and the distances between the two adjacent displacement monitoring points are accumulated. The difference of the monitoring data is used to obtain the relative total displacement of the two points; step S330, using the roof separation indicator to monitor the separation value of the tunnel roof; step S340, using the anchor tensioning machine to detect the pull-out resistance of the anchor cable, when the pull-out resistance of the anchor cable reaches the design value of the anchor cable, unload and stop pulling; step S350, using the anchor dynamometer to detect the load of the anchor cable and obtain the working axial force data of the anchor cable; step S360, installing a pressure detection meter on the support body, recording the pressure data of the single support in real time, and measuring the compression of the support body. The roof separation monitor is mainly used to monitor the separation of the tunnel roof. Roof separation refers to the phenomenon that after the tunnel is excavated, due to the redistribution of stress, the rock layers of the roof are relatively moved or separated. The roof separation monitor can judge the stability and safety of the roof by measuring the relative displacement between the layers of the roof. When the roof separation value exceeds the safe range, reinforcement measures should be taken in time to prevent the roof from collapsing; the anchor force monitor is mainly used to detect the stress condition of the anchor cable. The anchor cable is a commonly used reinforcement material in tunnel support. By tensioning the anchor cable and fixing it in a stable rock formation, it can provide effective support force for the tunnel surrounding rock. The anchor force monitor can record the working axial force data of the anchor cable in real time. When the pull-out force of the anchor cable reaches the design value, the pulling should be stopped and the anchor cable should be locked to ensure its support effect. At the same time, by regularly detecting the load changes of the anchor cable, problems such as loosening or failure of the anchor cable can be discovered and dealt with in time; the displacement monitor is used to monitor the displacement of the tunnel support roof and the tunnel floor. In tunnel support monitoring, multiple sets of displacement monitoring are usually arranged according to the tunnel position. Cross-section, each group of displacement monitoring points includes the support top plate and the tunnel bottom plate. By measuring the distance from each displacement monitoring point to the reference point and accumulating the difference between two adjacent monitoring data, the relative total displacement of the two points can be obtained, which is of great significance for evaluating the stability of the tunnel surrounding rock and the support effect. When the displacement exceeds the safe range, timely measures should be taken to reinforce it; the support force monitor is usually installed on the support body to record the pressure data of the single support in real time. By monitoring the stress condition of the support, the compression condition and stability of the support body can be understood. When the support pressure exceeds the design value, timely measures should be taken to reduce pressure or reinforce it to prevent the support from being damaged or failing. At the same time, the support force monitoring data can also provide important basis for tunnel support design.

[0031] Step S400, obtain historical data of tunnel support of the same scale, build a construction quality supervision model in combination with the construction monitoring standard, perform abnormal working condition analysis and risk point prediction on the real-time monitoring data, and determine the construction working condition deviation information of the tunnel support device. The historical data of tunnel support of the same scale can come from multiple aspects, including historical project records within the enterprise, industry databases, academic research results, and public engineering project reports, etc., covering information on different geological conditions, support design, construction technology, and monitoring results. Filter out historical data similar to the current project scale, geological conditions, support design, etc. from the massive data, organize and analyze the filtered historical data, and extract key parameters and indicators, such as deformation, stress distribution, and failure mode of the support structure. A construction quality supervision model is designed based on construction monitoring standards and historical data of tunnel supports of the same scale. The model should be able to reflect the various working conditions and risk factors that the support structure may encounter during the construction process, and have the ability to analyze abnormal conditions and predict risk points based on real-time monitoring data. According to the needs of model design, appropriate machine learning algorithms are selected for data processing and analysis, and the model is verified and calibrated using known historical data. The accuracy and reliability of the model are evaluated by comparing the differences between the model's prediction results and the actual historical data. If necessary, the model is adjusted and optimized to improve its prediction performance. The real-time monitoring data is connected to the construction quality supervision model, and the model is used to analyze the abnormal working conditions of the real-time monitoring data. By comparing the differences between the real-time monitoring data and the data under normal conditions, possible abnormal working conditions and potential problems are identified, which may include excessive deformation of the support structure, stress concentration, loose anchor cables, etc. Based on the results of the abnormal working condition analysis, possible risk points are predicted, and the probability of occurrence and impact of risk points are evaluated through the prediction model; the real-time monitoring data is compared with the preset standards in the construction quality supervision model to identify the construction condition deviation information of the tunnel support device, which may include deformation of the support structure beyond the allowable range, abnormal stress distribution, etc. The degree of the identified deviation information is evaluated, and corresponding response measures and emergency plans are formulated according to the degree of deviation. For serious deviations, measures should be taken immediately to rectify and deal with them to ensure the safety and stability of the tunnel support device.

[0032] In a possible implementation, step S400 further includes step S410, traversing and retrieving the historical data of tunnel support of the same scale in the tunnel support project knowledge base. The tunnel support project knowledge base covers tunnel support cases of different scales, different geological conditions, and different support schemes, as well as related support device deformation, failure mode, maintenance records and other information. In the knowledge base, according to the scale and characteristics of the current tunnel support project, the historical data of tunnel support of the same scale is traversed and retrieved through methods such as keyword search and data filtering.

[0033] It also includes step S420, analyzing and obtaining the deformation, failure mode and maintenance record of the support device in the historical data of tunnel support of the same scale. The deformation of the support device in the retrieved historical data of tunnel support of the same scale is analyzed in detail, including the magnitude of the deformation, the location where the deformation occurs, the relationship between the deformation and the support time, etc.; the failure mode of the support device is further analyzed, that is, under what circumstances the support device will lose its support function or its performance will be significantly reduced, including the failure forms such as the fracture, shedding and corrosion of the support device; the maintenance record of the support device is consulted to understand the maintenance measures and maintenance effects taken after the failure or performance reduction of the support device.

[0034] The method further includes step S430, training a construction quality supervision model based on a neural network according to the construction monitoring standard, the deformation, failure mode and maintenance record of the support device. The data such as the deformation, failure mode and maintenance record of the support device obtained by analysis are preprocessed, including data cleaning, data conversion and data standardization, and an appropriate neural network model (such as a convolutional neural network, a recurrent neural network, etc.) is selected. According to the construction monitoring standard, the deformation, failure mode and maintenance record of the support device, a construction quality supervision model is constructed. The model should be able to identify different states of the support device (such as normal, deformed, failed, etc.) and predict the future support effect. The preprocessed data is used to train the neural network model, and the parameters and structure of the model are continuously adjusted to optimize the performance of the model so that it can accurately identify the state of the support device and predict the future support effect.

[0035] In a possible implementation, step S400 further includes step S440, determining the abnormal construction characteristics of the real-time monitoring data based on the construction quality supervision model, wherein the abnormal construction characteristics have a characteristic deviation; step S450, if the characteristic deviation satisfies the characteristic deviation threshold, generating a risk warning instruction; step S460, if the characteristic deviation does not meet the characteristic deviation threshold, predicting the risk points of the mine tunnel; step S470, determining the working condition deviation information based on the abnormal construction characteristics, the risk warning instruction and the risk point. By deploying terminal sensing equipment in the tunnel (such as displacement monitors, roof delamination monitors, anchor cable stress monitors, etc.), real-time monitoring data of key parts such as support roof, anchor cables, and supports are obtained, and the real-time monitoring data is input into the established construction quality supervision model. The model will automatically analyze abnormal features in the data based on historical data and training results. Abnormal features may include abnormal deformation of support devices, a sharp drop in anchor cable pull-out force, abnormal changes in support pressure, etc. For the identified abnormal construction features, the model will further calculate their feature deviation. Feature deviation is a quantitative indicator to measure the degree of deviation between the current monitoring data and the normal state or design standard, and is used to judge the severity of the abnormal features. If the characteristic deviation meets the preset characteristic deviation threshold (i.e., the degree of deviation exceeds the acceptable range), it means that there is a serious risk in the current construction status and immediate measures need to be taken. The construction quality supervision model will generate a risk warning instruction; if the characteristic deviation does not meet the characteristic deviation threshold (i.e., the degree of deviation is within the acceptable range), but there are still potential risks that need attention, the model will further predict the risk points of the mine tunnel. Risk points refer to the parts or links where problems may occur in the future. By predicting risk points, measures can be taken in advance to prevent and reinforce them to avoid accidents; based on the comprehensive analysis of abnormal construction characteristics, risk warning instructions and risk points, the current working condition deviation information is determined. Working condition deviation information refers to the deviation between the current construction status and the design standard or normal status and its severity. Specifically, working condition deviation information may include the specific description and location of abnormal construction characteristics, the content and urgency of risk warning instructions; the prediction results of risk points and the possible scope of influence; and the measures and plans recommended for abnormal construction characteristics and risk points.

[0036] Step S500, formulate a calibration compensation plan for the tunnel support device according to the construction condition deviation information, and conduct real-time construction management. Conduct a detailed analysis of the construction condition deviation information to determine the cause of the deviation, which may include multiple factors such as changes in geological conditions, unreasonable support design, improper construction technology, and substandard material performance. According to the cause of the deviation, clarify the calibration compensation target. For example, if the deviation is caused by excessive deformation of the support structure, then the calibration target is to restore the stability and bearing capacity of the support structure; formulate a specific calibration compensation plan for the determined calibration target, which may include adjusting support parameters (such as anchor length, anchor tension, etc.), optimizing support structure (such as increasing the number of support layers, changing support form, etc.), improving construction technology (such as strengthening grouting quality, improving anchor installation accuracy, etc.), and other measures. Evaluate the formulated calibration compensation plan to ensure its feasibility and effectiveness. , if necessary, adjust and optimize the plan according to the evaluation results; in the process of implementing the calibration and compensation plan, strengthen the real-time monitoring of the tunnel support device, collect real-time data through multiple terminal sensing equipment, and compare and analyze it with the preset construction monitoring standards. Once new deviation information or abnormal conditions are found, immediately feedback to the construction management department, and dynamically adjust the construction plan according to the real-time monitoring data and feedback results. If it is found that the current construction plan cannot effectively deal with the deviation, the construction plan should be modified in time or additional response measures should be taken. The construction process should be evaluated and summarized regularly, and the changing trends and influencing factors of the deviation information of the construction conditions should be analyzed. By summarizing the lessons learned, the construction management process and calibration compensation plan should be continuously improved to improve the construction quality and efficiency.

[0037] In a possible implementation, step S500 further includes optimizing and adjusting the calibration compensation scheme based on the feedback mechanism according to the construction monitoring results. The construction monitoring results and problem analysis results are fed back in a timely manner, and the current calibration compensation scheme is evaluated to determine whether it can effectively solve the problems found in the monitoring, which may include adjusting the design parameters of the support structure, increasing the strength or quantity of the support materials, improving the construction process, etc. The optimized calibration compensation scheme is implemented, and the implementation effect is continuously tracked and evaluated through the monitoring equipment. According to the feedback of the implementation effect, the calibration compensation scheme is iteratively optimized again until the expected support effect and safety standards are achieved.

[0038] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A construction quality monitoring and management method for an underground mine tunnel support device, characterized in that: The method comprises: Based on the construction drawings, determine the basic information of the tunnel support device, the basic information includes roof data, anchor cable data, and support data, wherein the support data includes unit support data and working face hydraulic support data; Configure construction monitoring standards based on basic information and transmit to the central control module for analysis to determine working condition monitoring parameters; Based on the working condition monitoring parameters, multiple terminal sensing devices are used to monitor the construction quality of the target mine tunnel support in real time to determine the real-time monitoring data; Obtain historical data of tunnel support of the same scale, build a construction quality supervision model in combination with the construction monitoring standards, perform abnormal working condition analysis and risk point prediction on the real-time monitoring data, and determine the construction working condition deviation information of the tunnel support device; Based on the construction condition deviation information, a calibration compensation plan for the tunnel support device is formulated to carry out real-time construction management.

2. A construction quality monitoring and management method for an underground mine tunnel support device as claimed in claim 1, characterized in that: The basic information of determining the tunnel support device includes: Obtain construction drawings of the target mine tunnel support, including general plan, section view and support structure details; From the support structure detailed drawing, the type, components and corresponding size parameters of the tunnel support device are identified and obtained, including basic data of the support top plate, basic data of the anchor cable, basic data of the unit support and basic data of the working hydraulic support.

3. A construction quality monitoring and management method for an underground mine tunnel support device as claimed in claim 1, characterized in that: The central control module has a built-in data processing unit, which is used to receive the basic information and perform standardized processing, and compare the processing results with a preset safety threshold to determine the safety status of the tunnel support structure.

4. A construction quality monitoring and management method for an underground mine tunnel support device as claimed in claim 2, characterized in that: The construction monitoring standard is configured according to the basic information and transmitted to the central control module for analysis to determine the working condition monitoring parameters, including: Analyze the basic data of the supporting top plate, the basic data of the anchor cable, the basic data of the unitized support and the basic data of the working hydraulic support to determine multiple construction monitoring items, including top plate displacement, anchor cable pull-out force and load, and support force and shrinkage; Based on the construction monitoring items, multiple construction monitoring standards are set, including the displacement threshold of the support top plate, the allowable error of the pull-out resistance and load of the anchor cable, and the safety limit of the support force and shrinkage; According to the multiple construction monitoring standards, the installation location and layout are determined and multiple terminal sensor devices are deployed to obtain multiple working condition monitoring parameters.

5. The construction quality monitoring and management method of an underground mine tunnel support device according to claim 1, characterized in that: Based on the working condition monitoring parameters, the terminal sensing equipment is used to conduct real-time construction quality monitoring of the target mine tunnel support, including: The plurality of terminal sensing devices include a roof separation monitor, an anchor cable force monitor, a displacement monitor and a support force monitor; Arrange multiple groups of displacement monitoring sections according to the location of the tunnel, each group of displacement monitoring points includes the support top plate and the tunnel bottom plate, wherein the line connecting the displacement monitoring points of the support top plate and the tunnel bottom plate is perpendicular to the line connecting the two sides of the tunnel, respectively measure the distance from each displacement monitoring point to the reference point, accumulate the difference between two adjacent monitoring data, and obtain the relative total displacement of the two points; Use the roof separation indicator to monitor the separation value of the tunnel roof; An anchor cable tensioning machine is used to detect the pull-out resistance of the anchor cable. When the pull-out resistance of the anchor cable reaches the design value of the anchor cable, the pulling is stopped after unloading. Use the anchor dynamometer to detect the load of the anchor and obtain the working axial force data of the anchor; A pressure detection gauge is installed on the support body of the bracket to record the pressure data of the single support in real time and measure the compression condition of the support body.

6. A construction quality monitoring and management method for an underground mine tunnel support device as claimed in claim 1, characterized in that: Obtain historical data of similar tunnel support and build a construction quality supervision model in combination with the construction monitoring standards, including: Traversing and retrieving historical data of tunnel supports of the same scale in a tunnel support project knowledge base; Analyze and obtain the deformation, failure mode and maintenance record of the support device in the historical data of the tunnel support of the same scale; According to the construction monitoring standards, deformation conditions, failure modes and maintenance records of the support device, a construction quality supervision model is trained based on a neural network.

7. A construction quality monitoring and management method for an underground mine tunnel support device as claimed in claim 6, characterized in that: The real-time monitoring data is subjected to abnormal working condition analysis and risk point prediction to determine the construction working condition deviation information of the tunnel support device, including: Based on the construction quality supervision model, determining abnormal construction features of the real-time monitoring data, wherein the abnormal construction features have a characteristic deviation degree; If the characteristic deviation meets the characteristic deviation threshold, a risk warning instruction is generated; If the characteristic deviation does not meet the characteristic deviation threshold, predicting the risk point of the mine tunnel; The working condition deviation information is determined based on the abnormal construction characteristics, the risk warning instructions and the risk points.

8. A construction quality monitoring and management method for underground mine tunnel support device according to claim 1, characterized in that: According to the construction monitoring results, the calibration compensation scheme is optimized and adjusted based on the feedback mechanism.

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