Special sealing grouting method and device for flexible gas sealing material

Abstract

The present application provides a special sealing grouting method and device for flexible gas sealing materials, which relates to the field of gas extraction technology, including: managing the grouting operation of the sealer, wherein the sealer includes a main channel and a backup channel; building a self-adjusting plan for multiple damage conditions of the grouting operation; controlling and responding to the grouting process, determining the sensor information group, wherein the front-end autonomous regulation based on multiple damage conditions is performed; communicating and interacting with the sensor information group, combined with an intelligent decision-making unit, to conduct feedback decision analysis of abnormal grouting status, and determine an adjustment plan for operation management compensation. This application can solve the technical problem that the traditional sealing grouting method cannot optimize the grouting operation according to the real-time changing conditions such as gas concentration and drilling depth in the actual construction environment, resulting in leakage or incomplete sealing during the grouting process. It can achieve more efficient and accurate sealing grouting operations, and improve the sealing grouting efficiency and construction quality.

Description

Technical Field

[0001] The present application relates to the field of gas extraction technology, and in particular to a special sealing grouting method and device for flexible gas sealing materials. Background Art

[0002] During coal mine gas extraction and other underground construction projects, hole sealing and grouting technology is a key step in controlling gas leaks and improving gas extraction efficiency. Traditional hole sealing and grouting methods typically use fixed parameters for grouting operations. Prior to construction, grouting parameters (such as grouting pressure and grouting volume) are set based on estimated gas concentrations, borehole depth, and other conditions, and then the hole sealing operation is performed. However, underground construction environments are complex and ever-changing, and factors such as gas concentration, borehole depth, and geological structure often change in real time during actual operations. This makes traditional grouting methods inflexible and exhibits significant limitations in complex environments.

[0003] In summary, the traditional sealing grouting method cannot optimize the grouting operation according to the real-time changing conditions such as gas concentration and drilling depth in the actual construction environment, resulting in technical problems such as leakage or incomplete sealing during the grouting process. Summary of the Invention

[0004] The purpose of this application is to provide a special sealing grouting method and device for flexible gas sealing materials, so as to solve the technical problem that traditional sealing grouting methods cannot optimize grouting operations according to real-time changing conditions such as gas concentration and drilling depth in the actual construction environment, resulting in leakage or incomplete sealing during the grouting process.

[0005] In view of the above problems, the present application provides a special sealing grouting method and device for flexible gas sealing material.

[0006] In a first aspect, the present application provides a special sealing grouting method for flexible gas sealing materials, which is implemented by a special sealing grouting device for flexible gas sealing materials, including: obtaining the drilling depth and gas concentration, assisting an intelligent decision-making unit, and determining an initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision-making unit is built into the sealing grouting system; the initial cascade plan responds to the sealing grouting system to control the grouting operation management of the sealer, wherein the sealer is collaboratively driven by a dual grouting channel, including a main channel and a backup channel; for multiple damage conditions of the sealing grouting operation, case mining is carried out and a self-adjustment plan is constructed; the front-end sensor equipment group is synchronously triggered to control and monitor the response of the grouting process and determine a sensor information group, wherein the front-end autonomous regulation based on the multiple damage conditions is performed, and the sensor information group is the back-end calculation decision part; the sensor information group is communicated and interacted, and in combination with the intelligent decision-making unit, feedback decision analysis of abnormal grouting status is performed, and an adjustment plan is determined and compensation for grouting operation management is performed.

[0007] In the second aspect, the present application also provides a special sealing grouting device for flexible gas sealing materials, which is used to execute a special sealing grouting method for flexible gas sealing materials as described in the first aspect, including: an initial cascade plan determination module, used to obtain the drilling depth and gas concentration, and an auxiliary intelligent decision-making unit to determine the initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision-making unit is built into the sealing grouting system; a grouting operation management module, which is used for the initial cascade plan to respond to the sealing grouting system and control the grouting operation management of the sealer, wherein the sealer is coordinated by a dual-path grouting channel. Drive, including main channel and backup channel; self-adjustment plan construction module, used for case mining and construction of self-adjustment plan for multiple damage conditions of sealing grouting operation; sensor information group determination module, used for synchronous triggering of front-end sensor equipment group, control and response monitoring of grouting process, and determination of sensor information group, wherein front-end autonomous regulation based on the multiple damage conditions is performed, and the sensor information group is the back-end calculation decision-making part; grouting operation management and compensation module, used for communication and interaction of the sensor information group, combined with the intelligent decision-making unit, to conduct feedback decision analysis of abnormal grouting status, determine the adjustment plan and perform grouting operation management compensation.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] By obtaining the drilling depth and gas concentration, the intelligent decision-making unit is assisted to determine the initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationship, and the intelligent decision-making unit is built into the sealing grouting system; the initial cascade plan responds to the sealing grouting system to control the grouting operation management of the sealer, wherein the sealer is collaboratively driven by a dual grouting channel, including a main channel and a backup channel; for multiple damage conditions of the sealing grouting operation, case mining is carried out and a self-adjusting plan is constructed; the front-end sensor equipment group is synchronously triggered to control and monitor the response of the grouting process. , determine the sensor information group, wherein the front-end autonomous regulation based on the multiple damage conditions is executed, and the sensor information group is the back-end calculation decision-making part; the sensor information group is communicated and interacted, combined with the intelligent decision-making unit, to conduct feedback decision analysis of abnormal grouting status, determine the adjustment plan and perform grouting operation management compensation; by introducing an intelligent decision support system, the grouting parameters can be adjusted quickly and accurately to cope with real-time condition changes during the operation process, and more efficient and accurate sealing grouting operations can be achieved, thereby improving the sealing grouting efficiency and construction quality, and ensuring the continuity and reliability of the sealing grouting operation.

[0010] 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, which can be implemented in accordance with the contents of the description, and 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 specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0012] Figure 1 This is a flow chart of a special sealing grouting method for a flexible gas sealing material according to the present application;

[0013] Figure 2 This is a flow chart of constructing a self-regulating plan in a special sealing grouting method for a flexible gas sealing material according to the present application;

[0014] Figure 3 This is a structural schematic diagram of a special sealing grouting device for flexible gas sealing material in this application.

[0015] Description of reference numerals:

[0016] An initial cascade plan determination module 11, a grouting operation management module 12, a self-adjusting plan construction module 13, a sensor information group determination module 14, and a grouting operation management compensation module 15. DETAILED DESCRIPTION

[0017] This application provides a method and device for sealing holes with flexible gas sealing materials, addressing the technical problem that conventional sealing grouting methods are unable to optimize grouting operations based on real-time changing conditions such as gas concentration and drilling depth in the actual construction environment, resulting in leakage or incomplete sealing during the grouting process. Grouting parameters can be quickly and accurately adjusted to respond to real-time changes in conditions during the operation, achieving more efficient and accurate sealing grouting operations, thereby improving sealing grouting efficiency and construction quality, and ensuring the continuity and reliability of sealing grouting operations.

[0018] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0019] For example, see the attached Figure 1 The present application provides a special sealing grouting method for a flexible gas sealing material, which is applied to a special sealing grouting device for a flexible gas sealing material, and specifically comprises the following steps:

[0020] Step 1: Obtain the drilling depth and gas concentration, assist the intelligent decision-making unit, and determine the initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision-making unit is built into the sealing grouting system.

[0021] Specifically, the system first uses depth sensors and gas concentration sensors installed in the borehole to collect real-time data on the current borehole depth and gas concentration, and transmits this data to the sealing grouting system's control module. The system then uses its intelligent decision-making unit to analyze the received borehole depth and gas concentration data, and, in combination with internal preset models and algorithms, determine the grouting requirements under the current construction environment. For example, if the borehole is deep and the gas concentration is high, higher grouting pressure and flow rate may be required to ensure that the sealing material fully fills and seals the hole. Then, after analyzing the real-time data, the intelligent decision-making unit generates an initial cascade plan, which includes direct control parameters and indirect linear adjustment relationships. The direct control parameters include grouting pressure, flow and speed, which are adjusted according to the real-time drilling depth and gas concentration to ensure the accuracy of grouting; the indirect linear adjustment relationship is based on the cascade control principle. The intelligent decision-making unit will dynamically adjust the relationship between different control parameters, that is, through the coordinated work of the main loop and the sub-loop, the main loop controls the grouting pressure, and the sub-loop adjusts the grouting flow according to the grouting pressure feedback information to ensure that the grouting operation can always be maintained in the best state under different gas concentrations and drilling depths. Among them, the grouting pressure, flow and speed are linearly adjusted according to the changes in real-time feedback, so that the adjustment between the parameters is continuous and avoids sudden parameter jumps or instability. For example, the grouting pressure is used as the main control parameter, and the grouting flow and speed are indirectly adjusted according to the changes in pressure, forming a dynamic and coordinated control mode.

[0022] By generating the initial cascade plan with the assistance of an intelligent decision-making unit, precise control of the sealing and grouting process can be ensured. This intelligent decision-making unit is built into the sealing and grouting system and can respond to changing construction conditions in real time, dynamically optimize the grouting plan, and ensure the efficiency and safety of gas sealing operations.

[0023] Step 2: The initial cascade plan responds to the hole sealing grouting system to control the grouting operation management of the hole sealer, wherein the hole sealer is collaboratively driven by a dual grouting channel, including a main channel and a backup channel.

[0024] Specifically, the initial cascade plan responds to the real-time monitoring and feedback mechanism of the hole sealing grouting system, and manages the hole sealing grouting operation through the coordinated drive of the double grouting channels (main channel and backup channel) of the hole sealer. The main channel is used for conventional grouting operations and is the main working channel in the hole sealing process. The main channel is responsible for injecting the sealing material into the borehole at the set grouting pressure and flow rate to ensure normal hole sealing operation; the backup channel serves as an emergency channel. When the main channel fails to work normally or an abnormality occurs during the grouting process, the backup channel automatically takes over the grouting task to ensure the continuity and stability of the hole sealing operation. Through the design of the dual grouting channels, the hole sealer can quickly switch to the backup channel in the event of a failure or abnormality in the main channel, avoiding delays or failures in the grouting process and improving the reliability of the system.

[0025] Step 3: Conduct case studies and build a self-adjustment plan for the multiple damage conditions of sealing and grouting operations.

[0026] Specifically, multiple damage conditions of the sealing grouting operation are obtained, where multiple damage conditions include pressure leakage, equipment failure, grouting material blockage, etc.; then the damage characteristics of the multiple damage conditions are analyzed. For example, certain damage conditions such as a sharp increase in pressure or gas leakage are high-risk and may expand rapidly in a short period of time and have a significant impact on the operation; certain abnormal conditions may have a greater impact in an instant, such as grouting material leakage or a sudden increase in flow caused by equipment failure.

[0027] To address these complex damage conditions, this solution uses case mining technology to analyze various damage cases from historical grouting operations and build self-adjusting emergency plans based on this data. First, through sensor and system monitoring data, all historical cases from sealing grouting operations are automatically collected, including the type of abnormal situation, the operating conditions, the treatment measures, and the results. Then, based on this historical data, a damage propagation model is constructed for common abnormal conditions. For example, for high-pressure leaks, the time window of impact, the rate of damage propagation, and the optimal strategy for successful control can be analyzed. Furthermore, during the case mining process, the most risky key points are automatically identified, and contingency plans are pre-built based on historical performance. For example, for abnormal conditions with high risks and significant instantaneous impacts (such as equipment explosions and sudden pressure increases), the plan should first take measures to minimize or stop the spread of damage. For abnormal conditions with more complex damage conditions, after delaying the spread of damage, the system analyzes the operation status through control logic and adjustment algorithms to determine the optimal adjustment plan. For abnormal conditions with simpler control logic (such as slight flow fluctuations or minor material blockages), the system can immediately analyze and determine the adjustment plan without stopping operations. Finally, when multiple damage conditions are triggered, the system will perform real-time control and adjustments based on pre-built self-adjustment plans.

[0028] Through case mining and the construction of self-adjustment plans, we can effectively cope with complex working conditions, adjust parameters in real time, and ensure the continuity and efficiency of grouting operations.

[0029] Step 4: The front-end sensor equipment group is triggered synchronously to control and monitor the response of the grouting process and determine the sensor information group, wherein the front-end autonomous regulation based on the multiple damage conditions is performed, and the sensor information group is the back-end calculation decision-making part.

[0030] Specifically, in this solution, the front-end sensor equipment group is responsible for synchronously triggering and monitoring key parameters in the grouting process to ensure precise control and real-time response of the sealing grouting operation. The front-end autonomous regulation is achieved through the sensor information group, and the data is transmitted to the back-end for calculation and decision-making to ensure intelligent management and optimization adjustments during the operation. The front-end sensor equipment group includes a variety of sensors, such as pressure sensors, flow sensors, temperature sensors, and gas concentration sensors. These sensors are responsible for real-time monitoring of various key parameters in the grouting process, including grouting pressure, grouting flow, and gas concentration. The data collected by the sensor equipment group is processed to form a sensor information group. The sensor information group contains all the key parameters of the current grouting operation (such as pressure, flow, gas concentration, etc.). This information will reflect the operation status and working conditions of the sealing grouting process in real time.

[0031] When the sensor group detects certain abnormal conditions (such as a sudden pressure surge or abnormal flow), the system automatically performs front-end autonomous control based on multiple damage conditions. For example, if the sensor detects an abnormal grouting pressure, the system can immediately reduce the grouting pressure or stop grouting according to the preset control logic to prevent the expansion of damage. When the gas concentration exceeds the safety threshold, the system can immediately stop the grouting operation and issue an alarm to ensure the safety of on-site workers. The sensor information group is not only used for front-end autonomous control, but is also transmitted to the system's back-end computing module for deeper data analysis and decision-making. Through multi-dimensional analysis of the sensor information group, the system can identify potential trends in working conditions and damage development patterns, and then make intelligent decisions. At the same time, based on the analysis results, it generates optimized control strategies for grouting operations. For example, when the pressure or flow changes are not as expected, the parameter settings are automatically adjusted, such as changing the grouting speed or flow rate, to ensure the best sealing effect. After the back-end calculation decision is completed, the system will feed back the optimized control strategy to the front-end, and adjust the control parameters during the grouting process in real time to ensure that the grouting operation can continue and maintain the optimal state. For example, if the pressure is detected to be too high, the system may issue an instruction to reduce the pressure and adjust the flow rate to avoid waste or loss of sealing materials.

[0032] Through the synchronous triggering and monitoring of the front-end sensor equipment group, as well as the autonomous regulation and back-end decision-making of the sensor information group, the entire sealing and grouting process can achieve precise dynamic control and efficient exception handling, ensuring the safety and efficiency of the sealing operation.

[0033] Step 5: Communicate and interact with the sensor information group, combine with the intelligent decision-making unit, conduct feedback decision analysis on abnormal grouting status, determine the adjustment plan and perform grouting operation management and compensation.

[0034] Specifically, the sensor information group is generated by collecting real-time grouting process data from the front-end sensor equipment group. The intelligent decision-making unit automatically identifies and analyzes this data to determine whether there are abnormal grouting conditions, including the first and second abnormal conditions. The first abnormal condition refers to an abnormal grouting response, which is usually manifested as abnormal fluctuations in grouting parameters such as pressure, flow, and speed. For example, the grouting pressure is too high or too low, the flow rate is unstable, or the grouting speed does not meet expectations. The second abnormal condition refers to an abnormal blasting valve response, which usually occurs during the grouting channel switching process or when the blasting valve fails to work properly, resulting in failure of the main channel or unsuccessful channel switching.

[0035] When the system identifies the first abnormal state (abnormal grouting response), the intelligent decision-making unit initiates the first mode of adjustment decision-making. It first analyzes the specific circumstances of the abnormal grouting response, such as abnormal pressure fluctuations or excessive or insufficient flow. Based on the severity of the problem and the operating conditions, the system generates an adjustment plan. Specifically, it automatically adjusts relevant control parameters, such as grouting pressure, flow rate, and speed, to ensure the grouting process returns to normal. For example, if the pressure is too high, the system may reduce the grouting pressure; if the flow rate is unstable, the system can adjust the grouting speed to ensure a stable flow rate. Through the first mode of adjustment decision-making, the normal grouting response can be restored in a short period of time, reducing incomplete sealing or material waste caused by abnormal parameters during operation.

[0036] When the system identifies the second abnormal state (the blasting valve response state is abnormal), it starts the second mode adjustment decision process. The abnormal blasting valve response may cause the main channel to fail. At this time, it is necessary to switch to the backup channel for grouting. The system automatically analyzes the cause of the blasting valve failure and immediately takes emergency measures. In the second mode, the control information generated by the system is mainly for the switching control of the grouting channel. The system instructs to stop the main channel, switch to the backup channel to continue the grouting operation, and reconfigure the grouting parameters to ensure the sealing effect. The second mode adjustment decision can quickly solve the problem of abnormal blasting valve response, avoid grouting interruption or incomplete sealing due to failure of the main channel, and at the same time, the activation of the backup channel can ensure the continuity and safety of the operation.

[0037] The described method for sealing grouting with a flexible gas sealing material is applied to a sealing grouting device for a flexible gas sealing material, which can solve the technical problem that the traditional sealing grouting method cannot optimize the grouting operation according to the real-time changing conditions such as gas concentration and drilling depth in the actual construction environment, resulting in leakage or incomplete sealing during the grouting process. By obtaining the drilling depth and gas concentration, the intelligent decision-making unit is assisted to determine the initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision-making unit is built into the sealing grouting system; the initial cascade plan responds to the sealing grouting system to control the grouting operation management of the sealer, wherein the sealer is driven by a dual-path grouting channel, including a main channel and a backup channel; for the multiple damage conditions of the sealing grouting operation, case mining is carried out and a self-adjusting plan is constructed; the front-end sensor equipment group is synchronously triggered to control and monitor the response of the grouting process. , determine the sensor information group, wherein the front-end autonomous regulation based on the multiple damage conditions is executed, and the sensor information group is the back-end calculation decision-making part; the sensor information group is communicated and interacted, combined with the intelligent decision-making unit, to conduct feedback decision analysis of abnormal grouting status, determine the adjustment plan and perform grouting operation management compensation; by introducing an intelligent decision support system, the grouting parameters can be adjusted quickly and accurately to cope with real-time condition changes during the operation process, and more efficient and accurate sealing grouting operations can be achieved, thereby improving the sealing grouting efficiency and construction quality, and ensuring the continuity and reliability of the sealing grouting operation.

[0038] Furthermore, the determination of the initial cascade plan includes:

[0039] Traverse the entire grouting cycle to determine the key response nodes in the initial cascade plan, wherein the neighborhood node span is a non-uniform interval; based on the key response node, determine the precursor node and identify the precursor grouting state, wherein the precursor grouting state is an expected state, and the precursor node is determined based on the preset time zone pushed forward by the key response node; use the precursor node and the key response node to monitor and manage the initial cascade plan.

[0040] Specifically, the entire grouting process is monitored throughout the entire cycle. Data collected by front-end sensing equipment (such as grouting pressure, flow rate, and gas concentration) provides a comprehensive understanding of the progress of the operation. Based on the initial cascade plan, key response nodes are identified. These nodes are critical moments or status points in the grouting process, such as the start of grouting, when pressure or flow rate reaches a certain critical value, and when an abnormality occurs (such as pressure fluctuation or material blockage). Monitoring and analysis of these key nodes helps the system make accurate decisions during the grouting process. Not all continuously monitored data needs to be transmitted and analyzed. To reduce computational complexity and improve system response speed, data is segmented and processed according to the operation phase and data fluctuations, using non-uniform interval monitoring. For example, during stable grouting phases, data analysis frequency can be reduced, requiring only periodic transmission and analysis of key nodes. During sensitive phases of grouting (such as the start and end of grouting, or when an abnormality occurs), the monitoring density of key nodes is increased to ensure timely capture of important changes in the operation. This non-uniform interval monitoring method effectively reduces unnecessary data processing while ensuring accurate response at critical moments.

[0041] Based on the key response node, the precursor node is determined and the precursor grouting state is identified. The precursor node refers to a point in time when the system may change within a period of time before the key response node. The precursor node is determined by pushing the key response node forward by a preset time zone. This period of time allows the system to capture potential abnormalities or changing trends in the operating state in advance. For example, if the key response node occurs when the pressure reaches a certain set value, the precursor node can be a few seconds or minutes before the key point, based on which the pressure change trend is captured in advance. The forward time zone of the precursor node is set based on the response time and working conditions of the system. If the pressure or flow changes rapidly during the grouting process, the forward time zone should be relatively short to ensure that the system can capture the changing trend in time; in complex geological or working environments, the forward time zone may need to be longer to provide sufficient time for early warning and adjustment. The precursor grouting state refers to the grouting state that the system expects to appear at the precursor node, that is, based on the previous data and the cascade control principle, the grouting parameter value that should appear at the precursor node is predicted.

[0042] The initial cascade plan is then monitored, managed, and marked based on the precursor nodes and the key response nodes. For example, at the precursor node, if it is detected that the grouting status is inconsistent with expectations, the node is marked as an "early warning node" to remind that potential adjustments are needed; at the key response node, if the adjustment is completed, the system will mark the node as an "adjustment completed node", indicating that the adjustment has been made as expected. Through the precursor node monitoring mechanism based on the forward push of the key response node, early warning and response can be achieved during the grouting process, and by combining the precursor nodes and key response nodes, the entire grouting operation can be accurately managed and adjusted. This method not only improves the continuity and efficiency of the system, but also enhances its adaptability to complex working conditions, ensuring the safety and reliability of the sealing grouting operation.

[0043] Further, as attached Figure 2 As shown, the self-regulation plan is constructed, and the application includes:

[0044] Based on the preset urgency constraints, multiple damage conditions are screened; based on the multiple damage conditions, self-adjustment plans are mined, wherein the self-adjustment plans include damage emergency plans or damage adjustment plans; if it is the damage emergency plan, an emergency response plan is carried out and the sensor information group is determined for back-end computing decisions.

[0045] Specifically, during the grouting operation, the system encounters various types of abnormal conditions, which need to be screened and categorized according to their urgency. For example, some abnormal conditions (such as sudden pressure surges and pipe ruptures) may be high-risk and can significantly impact the operation in an instant, while others (such as minor flow fluctuations) are lower-risk and can be addressed through conventional adjustments. Urgency constraints are then pre-set within the system to assess the risk level of each abnormal condition. Urgency is assessed based on factors such as the impact on the grouting operation, the speed of occurrence, and the potential damage. For example, high urgency conditions include sudden pressure surges, pipe bursts, and burst valve failures, which can severely impact the entire operation in a short period of time. Medium and low urgency conditions include minor flow fluctuations, small pressure fluctuations, and slow blockage of grouting material. These abnormalities have less impact on the operation and occur slowly, and can be handled through conventional adjustments. The urgency constraints then filter out multiple damage conditions that require immediate response. For high-urgency abnormalities, the system prioritizes emergency response to ensure that the damage does not spread rapidly. For lower-urgency abnormalities, the system implements contingency plans to restore normal operation.

[0046] Then, based on the multiple damage conditions, self-adjustment plans are mined, and analysis is performed based on the damage conditions monitored in real time. Based on historical data, algorithm models and operational experience, self-adjustment plans suitable for current working conditions are mined. The self-adjustment plans include damage emergency plans and damage adjustment plans. Among them, the damage emergency plan refers to damage conditions with high urgency and high risks (such as abnormal pressure surge, burst valve failure, etc.). The damage emergency plan will be executed first, aiming to quickly control or stop the spread of damage and ensure the safety of operations; the damage adjustment plan refers to lower-risk or more routine abnormal conditions (such as slight flow fluctuations, material blockages, etc.). The damage adjustment plan will restore the normal state of the operation by automatically adjusting parameters without the need for complex emergency treatment.

[0047] When it is a damage emergency plan, the plan emergency response is carried out. During the execution of the damage emergency plan, various parameters are continuously monitored and a sensor information group is generated for back-end calculation and decision-making. The sensor information group contains all key parameter information related to the current anomaly, such as pressure and flow data. The sensor information group is transmitted to the back-end calculation module in real time. The back-end conducts in-depth analysis of this data through big data analysis, algorithm models, etc., and generates subsequent decision support. If it is a damage adjustment plan, the damage adjustment plan in the self-adjustment plan automatically adjusts the relevant parameters to restore normal operations, such as automatically adjusting the grouting flow and pressure to restore the parameters to the set normal range. Through in-depth exploration and analysis of multiple damage conditions, combined with damage emergency plans and damage adjustment plans, an efficient response to various anomalies in the sealing grouting operation is achieved. It can not only quickly respond to high-risk damage, but also ensure the continuous stability of the operation through intelligent decision support, significantly improving the safety and efficiency of the operation.

[0048] Furthermore, the feedback decision analysis of abnormal grouting status in this application includes:

[0049] Identify the sensor information group and evaluate the abnormal state; if it is a first abnormal state, make a first mode adjustment decision for the grouting and sealing parameters to generate first control information, and the first abnormal state is an abnormal grouting response; if it is a second abnormal state, make a second mode adjustment decision by switching the grouting pipeline to generate second control information, and the second abnormal state is an abnormal bursting valve response state.

[0050] Specifically, various key data in the grouting operation are collected in real time through sensors, including grouting pressure, flow, gas concentration, and the working status of the bursting valve. All data constitute a sensor information group for subsequent abnormal state assessment; the data of the sensor information group is then transmitted to the intelligent decision-making unit, and the preset algorithm model and threshold are used to determine whether there is an abnormal state, which includes the first abnormal state and the second abnormal state. The first abnormal state refers to abnormal grouting response, such as excessive pressure or flow fluctuations, which makes the grouting operation unable to proceed as expected; the second abnormal state refers to abnormal bursting valve response, such as failure of the bursting valve or inability to switch channels normally, resulting in operation interruption.

[0051] When the system detects abnormal fluctuations in key parameters of the grouting operation (such as pressure and flow) that deviate from the preset safety range, the system determines that the condition is a first abnormal state. It then executes the first mode adjustment decision in response to the first abnormal state, adjusting the grouting and sealing parameters to restore the normal state of the operation. For example, if the system detects that the pressure is too high, which may cause the sealing material to leak or damage the borehole, the system will control this risk by reducing the grouting pressure. When the flow rate is unstable or fluctuates greatly, the system automatically adjusts the grouting flow rate to ensure that the sealing material fills the borehole evenly and prevent incomplete sealing. After completing the parameter adjustment, the system generates the first control information and transmits it to the grouting operation execution system to ensure that the adjustment measures can take effect in real time. Through the first mode adjustment decision, if an abnormal grouting response is detected, the relevant parameters can be quickly adjusted to restore the normal state of the operation, avoiding sealing failure or operation delays.

[0052] When the system detects that the bursting valve is not working properly, such as the valve fails to switch at the scheduled time or the valve is stuck, the system will identify this as the second abnormal state; then, for the second abnormal state, the second mode adjustment decision is executed, with the focus on ensuring the continuity of the operation by switching the grouting channel. For example, if the bursting valve failure causes the main channel to fail, the system will immediately switch to the backup channel to continue grouting to avoid interruption of the operation; at the same time, after switching to the backup channel, the system will reconfigure the grouting pressure, flow and other parameters according to the working conditions of the new channel to ensure that the grouting effect of the backup channel is consistent with that of the main channel. Through the second mode adjustment decision, it is possible to quickly switch channels in the event of a bursting valve failure, maintain the continuity of the operation, and avoid long shutdowns caused by equipment failure.

[0053] By identifying and evaluating the sensor information group, corresponding adjustment decisions are made according to different abnormal situations (the first abnormal state and the second abnormal state) to ensure the stability and safety of the sealing and grouting operations, which can significantly improve the adaptability and operating efficiency of the system.

[0054] Furthermore, the second mode adjustment decision is made by switching and controlling the grouting pipeline. This application includes:

[0055] If it is the second abnormal state, a channel switching instruction from the main channel to the backup channel is generated, and the switching node is used as the initial node. The process is positioned in the initial cascade plan to determine the subsequent stage plan; the subsequent stage plan is adjusted and determined to determine the parameter control and regulation information; based on the channel switching instruction and the parameter control and regulation information, the second regulation information is generated; wherein, the main channel is used for conventional grouting operations, and the channel switching instruction is an execution instruction for terminating the main channel grouting operation and switching the backup channel grouting operation.

[0056] Specifically, if the second abnormal state occurs, a channel switch command is generated from the main channel to the backup channel. Due to a failure in the main channel equipment (such as a stuck or failed burst valve), the system will halt grouting in the main channel and automatically activate the backup channel to continue grouting, ensuring that the sealing operation is not affected by the main channel failure. The switchover node is then used as the initial node. The switchover node is the moment when the abnormality occurs and triggers the channel switchover. Based on this initial node, the initial cascade plan is used to determine the current stage of the sealing grouting operation. For example, this determines whether the current grouting phase is early, mid, or late, so that subsequent steps can be sequentially executed after the backup channel takes over. After this stage of grouting, the subsequent step plan is determined based on the current stage of the grouting operation. The subsequent step plan will guide the operational steps after the backup channel takes over. For example, if the system was in the mid-stage of grouting before the switchover, the backup channel will continue this stage according to the plan until the final stage of sealing.

[0057] Then, based on the operational requirements in the subsequent phase plan, an adjustment determination is made to determine whether parameters (such as pressure and flow) need to be adjusted to accommodate current operating conditions. For example, if the pressure in the primary channel was high before an abnormality occurred, the backup channel may need to reduce pressure to accommodate the current operating conditions. After the adjustment determination is completed, parameter control information is generated. This information includes the grouting parameter adjustment plan for the backup channel, such as the target pressure and flow rate for the backup channel. The channel switching instruction is then combined with the parameter control information to generate second control information. This second control information includes an instruction to terminate operations in the primary channel and activate the backup channel, as well as the grouting parameter settings for the backup channel (pressure, flow, speed, etc.). Finally, based on this second control information, the primary and backup channels are switched. The primary channel is used for routine grouting operations, handling the tasks of injecting sealing material and controlling pressure under normal conditions. If the primary channel fails or is no longer suitable for operation, the channel switching instruction terminates the primary channel and activates the backup channel to continue grouting operations, ensuring uninterrupted sealing.

[0058] Furthermore, the subsequent stage plan is adjusted and determined to determine the control information. This application includes:

[0059] The control-related factors of the excavation grouting and sealing operation are divided, and the correlation between the factors is divided to construct a multi-level decision-making layer, wherein each decision-making layer makes a decision with the corresponding control-related factors as the greedy target; a preemption mechanism is set, and the preemption mechanism is used to preempt the priority order of the decision-making layer; in combination with the sensor information group, the target-related factors are determined, and the layer order of the multi-level decision-making layer is reorganized in combination with the preemption mechanism to determine the initialization decision layer, wherein the target-related factors belong to the control-related factors; based on the initialization decision layer, the parameter control adjustment decision is executed.

[0060] Specifically, the sealing grouting operation involves multiple control-related factors, which will directly or indirectly affect the efficiency, safety and sealing effect of the operation. Common control-related factors include grouting pressure, grouting flow, gas concentration, operation stage, etc. Since multiple control-related factors are not independent, they may have strong correlations, weak correlations or independent relationships. For example, grouting pressure and flow may be strongly correlated, while equipment status and gas concentration may be independent. Therefore, it is necessary to divide the correlations between various factors to ensure that it is possible to identify which factors have a key impact on decision-making. Then, the correlation between factors is divided. According to the degree of influence of each factor on the grouting operation, the control-related factors are divided into different correlation levels. For example, the strong correlation layer includes grouting pressure and flow, which directly determine the sealing effect; the weak correlation layer includes gas concentration and operation stage, which affect the overall environment and safety of the operation, but do not directly affect the sealing quality.

[0061] Multiple decision layers are then constructed based on the division of control correlation factors. Each decision layer is responsible for processing specific correlation factors and making decisions based on these factors. For example, the first decision layer (strong correlation factors) is responsible for regulating grouting pressure and flow rate to ensure effective sealing; the second decision layer (weak correlation factors) is responsible for monitoring and adjusting the operating environment, such as controlling gas concentration and adjusting the operation phase. Each decision layer then sets a corresponding greedy goal based on the control correlation factors it is responsible for, which is the decision layer's primary task. For example, the greedy goal of the first decision layer is to ensure the optimal combination of grouting pressure and flow rate, while the greedy goal of the second decision layer is to maintain a safe operating environment. A preemption mechanism is further implemented to set a priority order between decision layers. When multiple decisions need to be executed simultaneously, the higher-priority decision layer is automatically selected based on the priority, ensuring that critical tasks are completed first. The preemption mechanism prevents the system from processing too many low-priority tasks while neglecting high-priority critical operations. Within the multi-level decision-making hierarchy, priorities are set based on the importance and urgency of each decision layer. For example, the first decision layer (strongly correlated factors) has the highest priority because it directly determines the effectiveness of the sealing operation; the second decision layer is ranked first, and the third decision layer has the lowest priority. When the system detects multiple decisions requiring execution, it activates a preemption mechanism, executing high-priority decision-layer tasks first, such as pressure or flow adjustment. If a low-priority task (such as equipment maintenance) is in progress and an abnormal pressure is detected, requiring adjustment, the preemption mechanism interrupts the maintenance and prioritizes the pressure adjustment. The introduction of a preemption mechanism further ensures the rapid execution of high-priority tasks, improving operational efficiency and safety.

[0062] Factors closely related to the current state change are extracted from the sensor information group. These factors are referred to as target-related factors. For example, if the current state is abnormal grouting pressure, then the target-related factors associated with this state may be grouting pressure, flow rate, and equipment status. If the current state is elevated gas concentration, the target-related factors may be gas concentration, ventilation system status, etc. The target-related factors are then divided into different association groups based on their nature and function. The factors within each association group are closely related and can be processed and decided as a single group. For example, the first group includes grouting pressure and flow rate, which are strongly correlated factors and directly determine the sealing effect; the second group includes gas concentration and ventilation equipment, which are weakly correlated factors and affect the safety of the working environment.

[0063] Then, the order of the multi-level decision layers is reorganized according to the target correlation factors and the preemption mechanism. First, within each correlation group, the priority of the correlation factors is sorted according to the current working conditions and the real-time data in the sensor information group. Then, between the target correlation factors, the decisions are prioritized according to their influence through hierarchical division, where each layer's decision is made based on the decision results of the previous layer. At the same time, to ensure that key decisions are processed first, a preemption mechanism is introduced. When decisions from multiple correlation groups need to be executed at the same time, resources are preempted according to priority, and high-priority decisions are processed first. Combined with the preemption mechanism, each decision layer is reorganized, and the decisions of high-priority correlation factors are placed in the front, ensuring that key tasks are executed first. Then, based on the priority sorting of the target correlation factors and the preemption mechanism, an initialization decision layer is generated to ensure that the system can prioritize key operations when a job starts or when the state changes. The initialization decision layer constructs a multi-level hierarchy based on the priority of the target correlation factors. Each decision layer is responsible for processing a type of correlation factor, and the decision results of the upper layer will affect the decisions of the lower layer.

[0064] Finally, based on this initialization decision layer, parameter control and adjustment decisions are executed to ensure that each operation step maintains optimal conditions, such as adjusting grouting pressure and flow rate, controlling gas concentration, and monitoring equipment status. After executing the parameter control and adjustment decisions at each decision layer, the system monitors the current parameter changes (such as grouting pressure stability, flow rate uniformity, and changes in gas concentration) in real time and dynamically adjusts the parameters of each decision layer based on sensor feedback. By identifying target-related factors through sensor information groups and integrating preemptive mechanisms to build an intelligent multi-level decision layer, key factors are prioritized and dynamically respond to various operating conditions during the grouting operation, ensuring operational efficiency and safety.

[0065] Furthermore, the response monitoring of the grouting process is performed, and the present application includes:

[0066] Construct and configure a front-end fuzzy judgment module, which executes the first stage of fuzzy judgment of existence difference and judgment based on self-adjustment and calculation decision adjustment; set a sensor monitoring mode, wherein the sensor monitoring mode is based on full sensor acquisition based on the key response nodes and random sensor acquisition of non-key response nodes, wherein the random sensor acquisition is based on any one acquisition in the full sensor array, and the full sensor array includes multiple sensor types; based on the sensor monitoring mode and the fuzzy judgment module, perform front-end monitoring management.

[0067] Specifically, a fuzzy judgment module is constructed and configured at the front end. The main function of the fuzzy judgment module is to make intelligent judgments on the uncertainty in the operation, especially when the data is incomplete or the changes are not obvious. The use of fuzzy logic can make preliminary analysis and decision-making more flexible; the fuzzy judgment module processes the sensor data through fuzzy logic, makes uncertainty judgments, and identifies potential problems in the early stages. The fuzzy judgment module mainly includes fuzzy judgments of existence and judgments based on self-adjustment and computational decision-making. Fuzzy judgments of existence refer to first making a "existence" judgment, that is, identifying abnormal signals or potential problems in the system. Although these signals may fluctuate within the normal range, they are noteworthy. The system will not take immediate action, but will store and mark them as the basis for subsequent judgments; judgments based on self-adjustment and computational decision-making refer to further analysis based on historical data and current self-adjustment logic, combined with computational decision-making, after judging the potential anomaly, to determine whether parameter adjustment or other intervention measures are needed.

[0068] The sensor monitoring mode is set up. This mode is a key data source for the fuzzy judgment module. By dynamically adjusting the sensor data collection strategy, the system's monitoring efficiency is optimized, ensuring high-precision monitoring of key nodes while reducing the monitoring burden on non-critical nodes. The sensor monitoring mode includes full sensor acquisition based on key response nodes and random sensor acquisition at non-critical response nodes. First, a full sensor array is configured. The array consists of multiple sensor types and covers all key aspects of the sealing grouting operation, including multi-dimensional monitoring data such as pressure, flow, temperature, gas concentration, and equipment status. Then, at key response nodes (such as when the grouting pressure reaches the set value or when the gas concentration approaches the safety threshold), full sensor acquisition is performed. This involves collecting data from all sensors, including grouting pressure, flow, gas concentration, and equipment status. This mode ensures that the system obtains global information and makes accurate judgments at critical moments. At non-critical response nodes, random acquisition is adopted, collecting data from any sensor in the full sensor array. This reduces data processing and maintains system efficiency.

[0069] Finally, front-end monitoring and management are performed based on the sensor monitoring mode and the fuzzy judgment module. When the system reaches a critical response node, the fuzzy judgment module analyzes the data collected by all sensors. If an abnormal signal is detected (such as abnormal pressure fluctuations but still within the threshold range), the module performs a fuzzy judgment, marking the data as a potential problem and storing it for further analysis. At non-critical nodes, sensor data is acquired through random sampling and used as basic monitoring information. If an abnormal signal is detected during random sampling (such as unstable flow), the fuzzy judgment module performs a fuzzy judgment based on the severity of the abnormality or directly triggers the next step of analysis. When the number or severity of abnormal data marked by the fuzzy judgment reaches a certain level, the fuzzy judgment module combines self-adjusting logic to make further judgments. Based on historical data models, current operating conditions, and sensor data, it makes a preliminary decision to determine whether parameter adjustments or emergency response plans are needed. Based on the fuzzy judgment module's judgment results, the system can dynamically adjust the sensor monitoring mode. For example, if a pressure fluctuation is detected, the pressure sensor may be prioritized during the next random sampling to ensure continuous monitoring of the parameter.

[0070] By building a front-end fuzzy judgment module and setting a sensor monitoring mode, the fuzzy judgment module can not only identify potential anomalies, but also achieve intelligent adjustments through self-adjustment and computational decision-making. At the same time, combined with the dynamic collection strategy of key nodes and non-key nodes, it can ensure monitoring accuracy while reducing the data processing burden and improving the efficiency and safety of the overall operation.

[0071] In summary, the sealing grouting method for a flexible gas sealing material provided in this application has the following technical effects:

[0072] By obtaining the drilling depth and gas concentration, the intelligent decision-making unit is assisted to determine the initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationship, and the intelligent decision-making unit is built into the sealing grouting system; the initial cascade plan responds to the sealing grouting system to control the grouting operation management of the sealer, wherein the sealer is collaboratively driven by a dual grouting channel, including a main channel and a backup channel; for multiple damage conditions of the sealing grouting operation, case mining is carried out and a self-adjusting plan is constructed; the front-end sensor equipment group is synchronously triggered to control and monitor the response of the grouting process. , determine the sensor information group, wherein the front-end autonomous regulation based on the multiple damage conditions is executed, and the sensor information group is the back-end calculation decision-making part; the sensor information group is communicated and interacted, combined with the intelligent decision-making unit, to conduct feedback decision analysis of abnormal grouting status, determine the adjustment plan and perform grouting operation management compensation; by introducing an intelligent decision support system, the grouting parameters can be adjusted quickly and accurately to cope with real-time condition changes during the operation process, and more efficient and accurate sealing grouting operations can be achieved, thereby improving the sealing grouting efficiency and construction quality, and ensuring the continuity and reliability of the sealing grouting operation.

[0073] In the second embodiment, based on the same invention concept as the special sealing grouting method for flexible gas sealing material in the above embodiment, the present application also provides a special sealing grouting device for flexible gas sealing material, please refer to the attached Figure 3 ,include:

[0074] The initial cascade plan determination module 11 is used to obtain the drilling depth and gas concentration, and assist the intelligent decision-making unit to determine the initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationship, and the intelligent decision-making unit is built into the sealing grouting system; the grouting operation management module 12 is used for the initial cascade plan to respond to the sealing grouting system and control the grouting operation management of the sealer, wherein the sealer is driven by a dual grouting channel, including a main channel and a backup channel; the self-adjusting plan construction module 13 is used for the sealing grouting system to control the grouting operation management of the sealer. The multiple damage conditions of grouting operations are used to conduct case mining and build self-adjustment plans; the sensor information group determination module 14 is used to synchronously trigger the front-end sensor equipment group, control and response monitoring of the grouting process, and determine the sensor information group, wherein the front-end autonomous regulation based on the multiple damage conditions is performed, and the sensor information group is the back-end calculation decision-making part; the grouting operation management and compensation module 15 is used to communicate and interact with the sensor information group, combine with the intelligent decision-making unit, conduct feedback decision analysis of abnormal grouting status, determine the adjustment plan and perform grouting operation management compensation.

[0075] Furthermore, the dedicated sealing grouting device for flexible gas sealing material is also used for:

[0076] Traverse the entire grouting cycle to determine the key response nodes in the initial cascade plan, wherein the neighborhood node span is a non-uniform interval; based on the key response node, determine the precursor node and identify the precursor grouting state, wherein the precursor grouting state is an expected state, and the precursor node is determined based on the preset time zone pushed forward by the key response node; use the precursor node and the key response node to monitor and manage the initial cascade plan.

[0077] Furthermore, the dedicated sealing grouting device for flexible gas sealing material is also used for:

[0078] Based on the preset urgency constraints, multiple damage conditions are screened; based on the multiple damage conditions, self-adjustment plans are mined, wherein the self-adjustment plans include damage emergency plans or damage adjustment plans; if it is the damage emergency plan, an emergency response plan is carried out and the sensor information group is determined for back-end computing decisions.

[0079] Furthermore, the dedicated sealing grouting device for flexible gas sealing material is also used for:

[0080] Identify the sensor information group and evaluate the abnormal state; if it is a first abnormal state, make a first mode adjustment decision for the grouting and sealing parameters to generate first control information, and the first abnormal state is an abnormal grouting response; if it is a second abnormal state, make a second mode adjustment decision by switching the grouting pipeline to generate second control information, and the second abnormal state is an abnormal bursting valve response state.

[0081] Furthermore, the dedicated sealing grouting device for flexible gas sealing material is also used for:

[0082] If it is the second abnormal state, a channel switching instruction from the main channel to the backup channel is generated, and the switching node is used as the initial node. The process is positioned in the initial cascade plan to determine the subsequent stage plan; the subsequent stage plan is adjusted and determined to determine the parameter control and regulation information; based on the channel switching instruction and the parameter control and regulation information, the second regulation information is generated; wherein, the main channel is used for conventional grouting operations, and the channel switching instruction is an execution instruction for terminating the main channel grouting operation and switching the backup channel grouting operation.

[0083] Furthermore, the dedicated sealing grouting device for flexible gas sealing material is also used for:

[0084] The control-related factors of the excavation grouting and sealing operation are divided, and the correlation between the factors is divided to construct a multi-level decision-making layer, wherein each decision-making layer makes a decision with the corresponding control-related factors as the greedy target; a preemption mechanism is set, and the preemption mechanism is used to preempt the priority order of the decision-making layer; in combination with the sensor information group, the target-related factors are determined, and the layer order of the multi-level decision-making layer is reorganized in combination with the preemption mechanism to determine the initialization decision layer, wherein the target-related factors belong to the control-related factors; based on the initialization decision layer, the parameter control adjustment decision is executed.

[0085] Furthermore, the dedicated sealing grouting device for flexible gas sealing material is also used for:

[0086] Construct and configure a front-end fuzzy judgment module, which executes the first stage of fuzzy judgment of existence difference and judgment based on self-adjustment and calculation decision adjustment; set a sensor monitoring mode, wherein the sensor monitoring mode is based on full sensor acquisition based on the key response nodes and random sensor acquisition of non-key response nodes, wherein the random sensor acquisition is based on any one acquisition in the full sensor array, and the full sensor array includes multiple sensor types; based on the sensor monitoring mode and the fuzzy judgment module, perform front-end monitoring management.

[0087] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The sealing grouting method and specific examples of a flexible gas sealing material in the aforementioned embodiment 1 are also applicable to the sealing grouting device for a flexible gas sealing material in this embodiment. Through the aforementioned detailed description of the sealing grouting method for a flexible gas sealing material, those skilled in the art can clearly understand the sealing grouting device for a flexible gas sealing material in this embodiment. Therefore, for the sake of brevity of the specification, it will not be described in detail here. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method description.

[0088] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0089] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A special sealing grouting method for flexible gas sealing materials, characterized in that: include: Obtaining the drilling depth and gas concentration, assisting the intelligent decision-making unit to determine the initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationships. The intelligent decision-making unit is built into the sealing and grouting system; The initial cascade plan responds to the hole sealing grouting system to control the grouting operation management of the hole sealer, wherein the hole sealer is cooperatively driven by two grouting channels, including a main channel and a backup channel; Conduct case studies and build self-adjustment plans for multiple damage conditions in sealing and grouting operations; The front-end sensor equipment group is synchronously triggered to control and monitor the response of the grouting process and determine the sensor information group, wherein the front-end autonomous regulation based on the multiple damage conditions is performed, and the sensor information group is used for the back-end calculation and decision-making part; Communicate and interact with the sensor information group, combine with the intelligent decision-making unit, conduct feedback decision analysis on abnormal grouting status, determine adjustment plans and perform grouting operation management and compensation; Conduct response monitoring of the grouting process, including: Construct and configure the front-end fuzzy judgment module, which performs the first stage of fuzzy judgment based on self-adjustment and calculation decision adjustment; Setting a sensor monitoring mode, wherein the sensor monitoring mode includes full sensor acquisition based on key response nodes and random sensor acquisition based on non-key response nodes, wherein the random sensor acquisition is based on any one acquisition in a full sensor array, and the full sensor array includes multiple sensor types; Based on the sensing monitoring mode and the fuzzy judgment module, front-end monitoring management is performed.

2. The special sealing grouting method for flexible gas sealing material according to claim 1, characterized in that: Determining the initial cascade plan includes: Traversing the entire grouting cycle, determining the key response nodes in the initial cascade plan, wherein the neighborhood node span is a non-uniform interval; Based on the key response node, a precursor node is determined and a precursor grouting state is identified, wherein the precursor grouting state is an expected state and the precursor node is determined based on a preset time zone pushed forward by the key response node; The initial cascade emergency plan is monitored and managed using the precursor node and the key response node.

3. The special sealing grouting method for flexible gas sealing material according to claim 1, characterized in that: The self-regulation plan is constructed, including: Screen multiple damage conditions based on preset urgency constraints; Based on the multiple damage conditions, mining self-adjustment plans, wherein the self-adjustment plans include damage emergency plans or damage adjustment plans; If it is the damage emergency plan, carry out the emergency response plan and determine the sensor information group for back-end computing decision-making.

4. The special sealing grouting method for flexible gas sealing material according to claim 1, characterized in that: The feedback decision analysis of abnormal grouting status includes: Identifying the sensor information group and evaluating the abnormal state; If it is a first abnormal state, a first mode adjustment decision is made for the grouting and sealing parameters to generate first control information, wherein the first abnormal state is an abnormal grouting response; If it is a second abnormal state, a second mode adjustment decision is made by switching and controlling the grouting pipeline to generate second control information. The second abnormal state is an abnormal response state of the bursting valve.

5. The special sealing grouting method for flexible gas sealing material according to claim 4, characterized in that: The second mode adjustment decision is made by switching and controlling the grouting pipeline, including: If it is the second abnormal state, a channel switching instruction from the main channel to the backup channel is generated, the switching node is used as the initial node, the process is located in the initial cascade plan, and the subsequent stage plan is determined; Conducting adjustments and judgments on the subsequent stage plan to determine parameter control and regulation information; generating the second control information based on the channel switching instruction and the parameter control information; The main channel is used for conventional grouting operations, and the channel switching instruction is an execution instruction for terminating the main channel grouting operation and switching to the backup channel grouting operation.

6. The special sealing grouting method for flexible gas sealing material according to claim 5, characterized in that: Conducting adjustments and judgments on the subsequent stage plan to determine the control and regulation information, including: The control-related factors of grouting and sealing operations are explored, the correlation between factors is divided, and a multi-level decision layer is constructed. Each decision layer uses the corresponding control-related factors as greedy targets to make decisions. Setting a preemption mechanism, wherein the preemption mechanism is used to preempt the priority order of the decision layer; Determine a target correlation factor in combination with the sensor information group, reorganize the layer order of the multi-level decision layer in combination with the preemption mechanism, and determine an initialization decision layer, wherein the target correlation factor belongs to the control correlation factor; Based on the initialization decision layer, parameter control adjustment decision is executed.

7. A special sealing grouting device for flexible gas sealing material, characterized in that: The steps for implementing the sealing grouting method for a flexible gas sealing material according to any one of claims 1 to 6 include: An initial cascade plan determination module is used to obtain the drilling depth and gas concentration, and assist the intelligent decision-making unit in determining the initial cascade plan, wherein the initial cascade plan includes direct control parameters and indirect linear adjustment relationships. The intelligent decision-making unit is built into the sealing and grouting system; A grouting operation management module, configured to control the grouting operation management of the hole sealer in response to the hole sealer grouting system according to the initial cascade plan, wherein the hole sealer is cooperatively driven by two grouting channels, including a main channel and a backup channel; A self-adjusting plan construction module is used to conduct case mining and build self-adjusting plans for multiple damage conditions in sealing and grouting operations; A sensor information group determination module is used to synchronously trigger the front-end sensor equipment group, perform grouting process control and response monitoring, and determine the sensor information group, wherein the front-end autonomous regulation based on the multiple damage conditions is performed, and the sensor information group is used for back-end calculation and decision-making; The grouting operation management and compensation module is used to communicate and interact with the sensor information group, and in combination with the intelligent decision-making unit, conduct feedback decision analysis of abnormal grouting status, determine the adjustment plan and perform grouting operation management and compensation.

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