Hole sealing and grouting method and device special for flexible gas hole sealing material

Abstract

The invention provides a hole sealing and grouting method and device special for a flexible gas hole sealing material, and relates to the technical field of gas extraction, and the method comprises the steps that grouting operation management of a hole packer is conducted, and the hole packer comprises a main channel and a standby channel; a self-adjusting pre-arranged plan is constructed according to multiple damage conditions of grouting operation; control and response monitoring of the grouting process are carried out, a sensing information group is determined, and front-end autonomous regulation and control based on multiple damage conditions are executed; and the communication interaction sensing information group is combined with the intelligent decision-making unit to carry out feedback decision-making analysis on an abnormal grouting state, and an adjustment plan is determined to carry out operation management compensation. By means of the hole sealing and grouting method and device, the technical problem that according to a traditional hole sealing and grouting method, grouting operation optimization cannot be conducted according to the real-time change conditions such as gas concentration and drilling depth in the actual construction environment, and consequently leakage is likely to happen or hole sealing is incomplete in the grouting process can be solved, more efficient and more accurate hole sealing and grouting operation can be achieved, and the grouting efficiency is improved. And the hole sealing and grouting efficiency and the construction quality are improved.

Description

Technical Field

[0001] This application relates to the technical field of gas drainage, and particularly to a special hole - sealing grouting method and device for flexible gas hole - sealing materials. Background Art

[0002] During the process of coal - mine gas drainage and other underground engineering construction, the hole - sealing grouting technology is a key step in controlling gas leakage and improving gas drainage efficiency. Traditional hole - sealing grouting methods usually perform grouting operations with fixed parameters. That is, before construction, grouting parameters (such as grouting pressure, grouting volume, etc.) are set according to estimated gas concentration, borehole depth and other conditions, and then the hole - sealing operation is carried out. However, the underground construction environment is complex and changeable, and factors such as gas concentration, borehole depth, and geological structure often change in real - time during the actual operation process. As a result, the traditional grouting method cannot respond flexibly and shows obvious limitations in complex environments.

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

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

[0005] In view of the above problems, this application provides a special hole - sealing grouting method and device for flexible gas hole - sealing materials.

[0006] In a first aspect, the present application provides a special hole - sealing grouting method for a flexible gas hole - sealing material, which is realized through a special hole - sealing grouting device for a flexible gas hole - sealing material, including: obtaining the borehole depth and gas concentration, assisting an intelligent decision - making unit to determine an initial cascade plan, where the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision - making unit is built into the hole - sealing grouting system; the initial cascade plan responds to the hole - sealing grouting system to control the grouting operation management of the hole - sealer, where the hole - sealer is driven by a dual - channel grouting channel in cooperation, including a main channel and a standby channel; for the multiple damage conditions of the hole - sealing grouting operation, case mining is carried out and a self - adjustment plan is constructed; the front - end sensing device group is triggered synchronously to control and monitor the response during the grouting process to determine a sensing information group, where front - end autonomous regulation based on the multiple damage conditions is executed, and the sensing information group is for the back - end operation decision - making part; the sensing information group is communicated and interacted, combined with the intelligent decision - making unit, to conduct feedback decision - making analysis of abnormal grouting states, determine an adjustment plan and carry out compensation for grouting operation management.

[0007] In a second aspect, the present application further provides a special hole - sealing grouting device for a flexible gas hole - sealing material, which is used to execute the special hole - sealing grouting method for a flexible gas hole - sealing material as described in the first aspect, including: an initial cascade plan determination module, which is used to obtain the borehole depth and gas concentration, assist an intelligent decision - making unit to determine an initial cascade plan, where the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision - making unit is built into the hole - sealing grouting system; a grouting operation management module, which is used for the initial cascade plan to respond to the hole - sealing grouting system to control the grouting operation management of the hole - sealer, where the hole - sealer is driven by a dual - channel grouting channel in cooperation, including a main channel and a standby channel; a self - adjustment plan construction module, which is used for case mining and constructing a self - adjustment plan for the multiple damage conditions of the hole - sealing grouting operation; a sensing information group determination module, which is used for the front - end sensing device group to be triggered synchronously to control and monitor the response during the grouting process to determine a sensing information group, where front - end autonomous regulation based on the multiple damage conditions is executed, and the sensing information group is for the back - end operation decision - making part; a grouting operation management compensation module, which is used for communicating and interacting the sensing information group, combining with the intelligent decision - making unit, to conduct feedback decision - making analysis of abnormal grouting states, determine an adjustment plan and carry out compensation for grouting operation management.

[0008] One or more technical solutions provided in the present application have at least the following technical effects or advantages: By obtaining the drilling depth and gas concentration and assisting the intelligent decision-making unit, an initial cascade plan is determined. Among them, the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision-making unit is built into the hole-sealing grouting system; the initial cascade plan responds to the hole-sealing grouting system and controls the grouting operation management of the hole-sealing device. Among them, the hole-sealing device is driven by a dual-channel grouting channel and includes a main channel and a standby channel; for the multiple damage conditions of the hole-sealing grouting operation, case mining is carried out and a self-adjusting plan is constructed; the front-end sensing device group is triggered synchronously to control and monitor the response during the grouting process to determine the sensing information group. Among them, the front-end autonomous regulation based on the multiple damage conditions is executed, and the sensing information group is for the back-end operation decision-making part; the sensing information group is communicated and interacted, combined with the intelligent decision-making unit, to conduct feedback decision analysis on the abnormal grouting state, determine the adjustment plan and conduct compensation for the grouting operation management; by introducing an intelligent decision support system, the grouting parameters can be quickly and accurately adjusted to cope with the real-time condition changes during the operation, realizing a more efficient and accurate hole-sealing grouting operation, thereby improving the hole-sealing grouting efficiency and construction quality and ensuring the continuity and reliability of the hole-sealing grouting operation.

[0009] The above description is only an overview of the technical solution of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the specific implementation manners of this application are specifically given below. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of this application, nor is it used to limit the scope of this application. Other features of this application will become easily understandable through the following description. Brief Description of the Drawings

[0010] In order to more clearly illustrate the technical solutions in this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only exemplary, and for those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0011] Figure 1 It is a schematic flow chart of a hole-sealing grouting method for a special flexible gas hole-sealing material of this application; Figure 2 It is a schematic flow chart of constructing a self-adjusting plan in a hole-sealing grouting method for a special flexible gas hole-sealing material of this application; Figure 3 It is a schematic structural diagram of a hole-sealing grouting device for a special flexible gas hole-sealing material of this application.

[0012] Description of the Reference Numerals: Initial cascade plan determination module 11, grouting operation management module 12, self-adjusting plan construction module 13, sensing information group determination module 14, grouting operation management compensation module 15. Detailed implementation manners

[0013] By providing a special hole-sealing grouting method and device for flexible gas hole-sealing materials, the present application solves the technical problem that the traditional hole-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 easy leakage or incomplete hole-sealing during the grouting process. It can quickly and accurately adjust the grouting parameters to cope with the real-time condition changes during the operation, realize more efficient and accurate hole-sealing grouting operations, thereby improving the hole-sealing grouting efficiency and construction quality, and ensuring the continuity and reliability of the hole-sealing grouting operation.

[0014] Next, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described herein. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application. Additionally, it should be noted that for the sake of description, only the parts related to the present application are shown in the accompanying drawings rather than all of them.

[0015] Embodiment 1, please refer to the attached Figure 1 , the present application provides a special hole-sealing grouting method for flexible gas hole-sealing materials, which is applied to a special hole-sealing grouting device for flexible gas hole-sealing materials, and specifically includes the following steps: Step 1: Obtain the drilling depth and gas concentration, and assist the intelligent decision-making unit to determine the initial cascade plan, where the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision-making unit is built into the hole-sealing grouting system.

[0016] Specifically, first, depth sensors and gas concentration sensors installed in the borehole are used to collect the depth and gas concentration data of the current borehole in real time, and the measured data is transmitted to the control module of the hole sealing and grouting system. Then, the intelligent decision-making unit of the hole sealing and grouting system is called. It analyzes the received borehole depth and gas concentration data, and combines the internal preset models and algorithms to judge the grouting requirements under the current construction environment. For example, if the borehole is relatively deep and the gas concentration is high, higher grouting pressure and flow rate may be required to ensure that the hole sealing material can fully fill and seal the hole passage. After analyzing the real-time data, the intelligent decision-making unit generates an initial cascade plan. This plan includes direct control parameters and indirect linear adjustment relationships. The direct control parameters include grouting pressure, flow rate, and speed, etc., which are adjusted according to the real-time borehole 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 secondary loop, the main loop controls the grouting pressure, and the secondary loop adjusts the grouting flow rate according to the feedback information of the grouting pressure to ensure that the grouting operation can always be in the best state under different gas concentration and borehole depth conditions. Among them, according to the real-time feedback changes, linear adjustment is performed on the grouting pressure, flow rate, and speed, so that the adjustment between parameters is continuous, avoiding sudden parameter jumps or instabilities. For example, the grouting pressure is used as the main control parameter, while the grouting flow rate and speed are indirectly adjusted according to the change of pressure, forming a dynamic coordination control mode.

[0017] By assisting in generating the initial cascade plan through the intelligent decision-making unit, the precise control of the hole sealing and grouting process can be ensured. This intelligent decision-making unit is built into the hole sealing and grouting system, which can respond to changing construction conditions in real time, dynamically optimize the grouting plan, and ensure the efficiency and safety of the gas hole sealing operation.

[0018] Step 2: The initial cascade plan responds to the hole sealing and grouting system to control the grouting operation management of the hole sealer. Among them, the hole sealer is driven by a dual-channel grouting channel and includes a main channel and a standby channel.

[0019] 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 dual-channel grouting channels (main channel and standby channel) of the hole-sealing device. Among them, the main channel is used for conventional grouting operations and is the main working channel during the hole-sealing process. The main channel is responsible for injecting the hole-sealing material into the drill hole at a set grouting pressure and flow rate to ensure normal hole-sealing operations; the standby channel serves as an emergency channel. When the main channel fails to work properly or an abnormality occurs during the grouting process, the standby channel automatically takes over the grouting task to ensure the continuity and stability of the hole-sealing operation. Through the design of the dual-channel grouting channels, the hole-sealing device can quickly switch to the standby channel in the event of a failure or abnormality in the main channel, avoiding delays or failures during the grouting process and improving the reliability of the system.

[0020] Step 3: Conduct case mining and construct a self-adjusting plan for the multiple damage conditions in the hole-sealing grouting operation.

[0021] Specifically, obtain the multiple damage conditions in the hole-sealing grouting operation, where the multiple damage conditions include pressure leakage, equipment failure, grouting material blockage, etc.; then analyze the damage characteristics of the multiple damage conditions. For example, some damage conditions such as a sharp increase in pressure or gas leakage have high risks and may rapidly expand in a short period of time and have a significant impact on the operation; some abnormal conditions may have a large impact instantaneously, such as the leakage of grouting material or a sudden increase in flow rate caused by equipment failure.

[0022] To cope with these complex damage conditions, this solution analyzes various damage cases in historical grouting operations through case mining technology and constructs a self-adjusting plan based on this data. First, through sensors and system monitoring data, automatically collect all historical cases in the hole-sealing grouting operation, including the type of abnormal situation, the working conditions in which it occurred, the treatment measures and results; then, based on the historical data, construct a damage expansion model for common abnormal situations. For example, for cases of high-pressure leakage, the time window affected, the expansion speed of the damage, and the optimal strategy for successful control can be analyzed; and during the case mining process, automatically identify the most risky key points and, based on historical performance, construct an emergency plan in advance. For example, for abnormal situations with high risks and large instantaneous impacts (such as equipment blasting, sudden pressure increase, etc.), the plan should first take measures to delay or stop the spread of the damage as much as possible; for abnormal situations with more complex damage conditions, after delaying the spread of the damage, the system will analyze the operation situation through control logic and adjustment algorithms to determine the best adjustment plan; for abnormal situations with relatively simple control logic (such as slight flow fluctuations, slightly blocked materials, etc.), the system can immediately analyze and determine the adjustment plan without stopping the operation. Finally, when the multiple damage conditions are triggered, the system will perform real-time control and adjustment according to the pre-constructed self-adjusting plan.

[0023] Through case mining and the construction of self-regulating preplans, complex working conditions can be effectively addressed, parameters can be adjusted in real time, and the continuity and efficiency of grouting operations can be ensured.

[0024] Step 4: The front-end sensing device group is synchronously triggered to control and monitor the grouting process and determine the sensing information group. Among them, the front-end autonomous regulation based on the multiple damage conditions is executed, and the sensing information group is for the back-end operation decision-making part.

[0025] Specifically, in this solution, the front-end sensing device group is responsible for synchronously triggering and monitoring the key parameters during the grouting process to ensure the precise control and real-time response of the hole-sealing grouting operation. Through the sensing information group, front-end autonomous regulation is achieved, and the data is transmitted to the back-end for calculation and decision-making to ensure intelligent management and optimized adjustment during the operation process. The front-end sensing device group includes various sensors, such as pressure sensors, flow sensors, temperature sensors, and gas concentration sensors, etc. These sensors are responsible for real-time monitoring of various key parameters during the grouting process, including grouting pressure, grouting flow rate, and gas concentration. The data collected by the sensing device group is processed to form the sensing information group, which contains all the key parameters of the current grouting operation (such as pressure, flow rate, gas concentration, etc.). These information will reflect the operation status and working conditions during the hole-sealing grouting process in real time.

[0026] When the sensing device group detects some abnormal situations (such as a sudden increase in pressure or abnormal flow rate), the system will automatically perform front-end autonomous regulation according to the multiple damage conditions. For example, if the sensor detects abnormal grouting pressure, the system can immediately reduce the grouting pressure or stop grouting according to the preset control logic to avoid 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 operators. The sensing information group is not only used for front-end autonomous regulation but also transmitted to the back-end operation module of the system for deeper data analysis and decision-making. Through multi-dimensional analysis of the sensing information group, the system can identify potential working condition change trends and damage development patterns, and then make intelligent decisions. At the same time, according to the analysis results, an optimized control strategy is generated for the grouting operation. For example, when the changes in pressure or flow rate do not meet the expectations, the parameter settings are automatically adjusted, such as changing the grouting speed or flow rate, to ensure the best hole-sealing effect. After the back-end operation decision is completed, the system will feedback the optimized control strategy to the front-end to adjust the control parameters during the grouting process in real time to ensure that the grouting operation can continue and maintain the best state. For example, if it is detected that the pressure is too high, the system may issue an instruction to reduce the pressure and at the same time adjust the flow rate to avoid waste or loss of the hole-sealing material.

[0027] Through the synchronous triggering and monitoring of the front-end sensor device group, as well as the autonomous regulation of the sensor information group and the back-end decision-making, the entire borehole sealing grouting process can achieve precise dynamic control and efficient exception handling, ensuring the safety and efficiency of the borehole sealing operation.

[0028] Step Five: Communication and Interaction with the Sensor Information Group, combined with the intelligent decision-making unit, to conduct feedback decision-making analysis on the abnormal grouting state, determine the adjustment plan, and perform compensation for grouting operation management.

[0029] Specifically, the sensor information group is generated based on the grouting process data collected in real time by the front-end sensor device group. The intelligent decision-making unit will automatically identify and analyze these data to determine whether there is an abnormal grouting state, including the first abnormal state and the second abnormal state. The first abnormal state refers to abnormal grouting response, usually manifested as abnormal fluctuations in grouting parameters such as pressure, flow rate, and speed. For example, the grouting pressure is too high or too low, the flow rate is unstable, or the grouting speed does not match the expectation. The second abnormal state refers to abnormal response of the blasting valve, usually occurring during the switching process of the grouting channel or when the blasting valve fails to work properly, resulting in the failure of the main channel or smooth channel switching.

[0030] When the system identifies the first abnormal state (abnormal grouting response), the intelligent decision-making unit will start the adjustment decision-making process of the first mode. First, it analyzes the specific situation of the abnormal grouting response, such as abnormal pressure fluctuations, excessive or insufficient flow rate, etc. According to the severity of the problem and the working conditions, the system generates an adjustment plan, that is, automatically adjusts relevant control parameters such as grouting pressure, flow rate, and speed for abnormal grouting parameters to ensure that 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 adjustment decision-making of the first mode, the normal grouting response can be restored in a short time, reducing the situation of incomplete borehole sealing or material waste caused by abnormal parameters during the operation.

[0031] When the system identifies the second abnormal state (abnormal response state of the blasting valve), it starts the adjustment decision-making process of the second mode. The abnormal response of the blasting valve may lead to the failure of the main channel. At this time, it is necessary to switch to the standby 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 mainly targets the switching control of the grouting channel. The system instructs to stop the main channel, switch to the standby channel to continue the grouting operation, and reconfigure the grouting parameters to ensure the borehole sealing effect. The adjustment decision-making of the second mode can quickly solve the problem of abnormal response of the blasting valve, avoid grouting interruption or incomplete borehole sealing caused by the failure of the main channel, and at the same time, the start of the standby channel can ensure the continuity and safety of the operation.

[0032] The special hole - sealing grouting method for a flexible gas hole - sealing material is applied to a special hole - sealing grouting device for a flexible gas hole - sealing material, which can solve the technical problems that the traditional hole - sealing grouting method cannot optimize the grouting operation according to the real - time changing conditions such as gas concentration and borehole depth in the actual construction environment, resulting in easy leakage or incomplete hole - sealing during the grouting process. By obtaining the borehole depth and gas concentration, with the assistance of an intelligent decision - making unit, an initial cascade plan is determined. Among them, the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision - making unit is built into the hole - sealing grouting system; the initial cascade plan responds to the hole - sealing grouting system to control the grouting operation management of the hole - sealer. Among them, the hole - sealer is driven by a dual - channel grouting channel, including a main channel and a standby channel; for the multiple damage conditions of the hole - sealing grouting operation, case mining is carried out and a self - adjusting plan is constructed; the front - end sensing device group is triggered synchronously to control and monitor the response during the grouting process to determine a sensing information group. Among them, the front - end autonomous regulation based on the multiple damage conditions is executed, and the sensing information group is for the backend operation decision - making part; the sensing information group is communicated and interacted, combined with the intelligent decision - making unit, to conduct feedback decision - making analysis of the abnormal grouting state, determine the adjustment plan and carry out compensation for the grouting operation management; by introducing an intelligent decision - making support system, the grouting parameters can be quickly and accurately adjusted to cope with the real - time condition changes during the operation, realizing a more efficient and accurate hole - sealing grouting operation, thereby improving the hole - sealing grouting efficiency and construction quality, and ensuring the continuity and reliability of the hole - sealing grouting operation.

[0033] Further, for the determination of the initial cascade plan, this application includes: Traverse the entire grouting cycle to determine the key response nodes in the initial cascade plan, where the neighborhood node span is a non - uniform interval; based on the key response nodes, determine the precursor nodes and mark the precursor grouting state. The precursor grouting state is the expected state, and the precursor nodes are determined by pushing forward a preset time zone before the key response nodes; use the precursor nodes and the key response nodes to carry out monitoring management marking on the initial cascade plan.

[0034] Specifically, during the entire grouting cycle, the whole process is traversed and monitored. Through the data collected by the front-end sensing devices (such as grouting pressure, flow rate, gas concentration, etc.), the progress of the operation is comprehensively grasped. Then, according to the initial cascade plan, the key response nodes are determined. These nodes refer to the critical moments or state points during the grouting process. For example, at the beginning stage of grouting, when the pressure or flow rate reaches a certain critical value, or when abnormal situations occur (such as pressure fluctuations, material blockages, etc.). The monitoring and analysis of these key nodes help the system make accurate decisions during the grouting process. Not all continuously monitored data needs to be transmitted back and analyzed. To reduce the computational load and improve the system response speed, the data is segmented according to the operation stage and data fluctuations, and non-uniform interval monitoring is set. For example, during the stable stage of grouting, the data analysis frequency can be reduced, and only the key nodes need to be regularly transmitted back for analysis. During the sensitive stage of grouting (such as at the beginning, end, or when abnormalities occur), the monitoring density of the key nodes is increased to ensure that important changes in the operation can be captured in a timely manner. This non-uniform interval monitoring method can effectively reduce unnecessary data processing while ensuring accurate response at critical moments.

[0035] Based on the key response nodes, precursor nodes are determined and the precursor grouting state is identified. The precursor nodes refer to the time points when the system may change within a period of time before the key response nodes. The precursor nodes are determined by pushing forward a preset time zone before the key response nodes. This period of time allows the system to capture potential abnormalities or change trends in the operation 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 this key point, and based on this, the pressure change trend can be captured in advance. Among them, the time zone pushed forward for the precursor nodes is set based on the response time of the system and the working conditions. For example, during the grouting process, if the pressure or flow rate changes rapidly, the pushed-forward time zone should be relatively short to ensure that the system can capture the change trend in a timely manner. In a complex geological or working condition environment, the pushed-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 is expected to present at the precursor nodes, that is, based on the previous data and the principle of cascade control, the grouting parameter values that should appear at the precursor nodes are predicted.

[0036] Then, monitor and manage the marking of the initial cascade plan according to the precursor node and the key response node. For example, at the precursor node, if it is detected that the grouting state does not match the expectation, mark this node as the "early warning node" to remind that potential adjustment is needed; at the key response node, if the adjustment is completed, the system will mark this node as the "adjustment completed node", indicating that the adjustment has been made as expected at this place. Through the precursor node monitoring mechanism that pushes forward based on the key response node, early warning and response can be achieved during the grouting process, and by combining the precursor node and the key response node, precise management and adjustment of the entire grouting operation can be carried out. This method not only improves the continuity and efficiency of the system, but also enhances the adaptability to complex working conditions, ensuring the safety and reliability of the hole sealing grouting operation.

[0037] Further, as shown in the appendix Figure 2 The self-adjusting plan constructed in this application includes: Based on the preset emergency degree constraint, screen multiple damage conditions; based on the multiple damage conditions, excavate the self-adjusting plan, where the self-adjusting plan includes a damage emergency plan or a damage adjustment plan; if it is the damage emergency plan, carry out the emergency response of the plan and determine the sensing information group for back-end operation decision-making.

[0038] Specifically, during the grouting operation process, the system will encounter various types of abnormal situations, which need to be screened and classified according to their emergency degrees. For example, some abnormal conditions (such as sudden pressure rise, pipeline rupture, etc.) may have a higher risk and can have a greater impact on the operation process in an instant; while other abnormalities (such as slight flow fluctuations) have a lower risk and can be solved through conventional adjustment. Then, set the constraint conditions of the emergency degree in the system to evaluate the risk level of each abnormal situation. The emergency degree is evaluated based on factors such as the impact on the grouting operation, the occurrence speed, and the possible damage. For example: high emergency degree, including sudden sharp rise in instantaneous pressure, pipeline explosion, failure of the blasting valve, etc., which may have a serious impact on the entire operation in a short time; medium and low emergency degree, including slight flow fluctuations, small pressure fluctuations, slow blockage of grouting materials, etc. These abnormalities have a small impact on the operation and occur slowly, and the system can handle them through conventional adjustment. Then, screen out the multiple damage conditions that need to be immediately responded to according to the emergency degree constraint, that is, for the abnormalities with a high emergency degree, the system gives priority to emergency treatment to ensure that the damage will not spread rapidly; for the abnormalities with a lower emergency degree, the system will adopt the adjustment plan to restore the normal state.

[0039] Then, based on the multiple damage conditions, self - adjustment plans are mined. By analyzing the damage conditions monitored in real - time, and based on historical data, algorithm models, and operation experience, self - adjustment plans suitable for the 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 the plan for damage conditions with high urgency and relatively high risks (such as sudden abnormal pressure rise, failure of the rupture disc, etc.). The damage emergency plan will be executed preferentially, aiming to quickly control or stop the spread of damage and ensure the safety of the operation. The damage adjustment plan refers to the plan for abnormal situations with relatively low risks or more routine situations (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 complex emergency treatment.

[0040] When it is a damage emergency plan, a plan emergency response is carried out. During the execution of the damage emergency plan, various parameters are continuously monitored and a sensing information group is generated for backend operation decision - making. Among them, the sensing information group contains all key parameter information related to the current abnormality, such as pressure, flow rate data, etc. The sensing information group is transmitted to the backend operation module in real - time. The backend conducts in - depth analysis of these data through big data analysis, algorithm models, etc., and generates subsequent decision - making support. If it is a damage adjustment plan, relevant parameters are automatically adjusted through the damage adjustment plan in the self - adjustment plan to restore normal operation. For example, the grouting flow rate and pressure are automatically adjusted to restore the parameters to the set normal range. Through in - depth mining and analysis of multiple damage conditions, combined with damage emergency plans and damage adjustment plans, efficient response to various abnormalities in the hole - 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 - making support, significantly improving the safety and efficiency of the operation.

[0041] Furthermore, for the feedback decision - making analysis of the abnormal grouting state, this application includes: Identify the sensing information group and evaluate the abnormal state. If it is the first abnormal state, a first - mode adjustment decision is made for the hole - sealing grouting parameters to generate the first control information. The first abnormal state is the abnormal grouting response. If it is the second abnormal state, a second - mode adjustment decision is made with the switching control of the grouting pipeline to generate the second control information. The second abnormal state is the abnormal response state of the rupture disc.

[0042] Specifically, various key data in the grouting operation are collected in real time through sensors, including grouting pressure, flow rate, gas concentration, and the working status of the blasting valve, etc. All the data constitute a sensing information group for subsequent abnormal state assessment. Then, the data of the sensing information group are transmitted to the intelligent decision-making unit, and whether there is an abnormal state is judged through a preset algorithm model and threshold, including the first abnormal state and the second abnormal state. The first abnormal state refers to abnormal grouting response, such as too high pressure or fluctuating flow rate, resulting in the grouting operation unable to proceed as expected. The second abnormal state refers to abnormal response of the blasting valve, such as the blasting valve failing or unable to switch channels normally, resulting in the operation interruption.

[0043] When the system monitors abnormal fluctuations in the key parameters (such as pressure and flow rate) of the grouting operation and deviates from the preset safety range, the system determines it as the first abnormal state. Then, for the first abnormal state, a first-mode adjustment decision is executed to restore the normal state of the operation by adjusting the grouting hole-sealing parameters. For example, if the system detects that the pressure is too high, which may cause leakage of the hole-sealing material or damage to the drilling hole, the system will control this risk by reducing the grouting pressure. When the flow rate is unstable or fluctuates greatly, the system will automatically adjust the grouting flow rate to ensure that the hole-sealing material evenly fills the drilling hole and prevent incomplete hole-sealing. After completing the parameter adjustment, the system will generate the first regulation information and transmit it to the execution system of the grouting operation to ensure that the adjustment measures can take effect in real time. Through the first-mode adjustment decision, when an abnormal grouting response is found, relevant parameters can be quickly adjusted to restore the normal state of the operation and avoid hole-sealing failure or operation delay.

[0044] When the system detects that the blasting valve cannot work normally, for example, the valve fails to switch at the predetermined time or the valve gets stuck, the system will identify this as the second abnormal state. Then, for the second abnormal state, a 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 main channel fails due to a blasting valve failure, the system will immediately switch to the standby channel to continue grouting to avoid operation interruption. At the same time, after switching to the standby channel, the system will reconfigure parameters such as grouting pressure and flow rate according to the working conditions of the new channel to ensure that the grouting effect of the standby channel is the same as that of the main channel. Through the second-mode adjustment decision, when the blasting valve fails, the channel can be quickly switched to maintain the continuity of the operation and avoid long-term shutdown due to equipment failure.

[0045] By identifying and evaluating the sensing information group and executing corresponding adjustment decisions according to different abnormal situations (the first abnormal state and the second abnormal state), the stability and safety of the hole-sealing grouting operation are ensured, which can significantly improve the adaptability and operation efficiency of the system.

[0046] Furthermore, for the second-mode adjustment decision with the switching control of the grouting pipeline, this application includes: If it is the second abnormal state, generate a channel switching instruction for the main channel - standby channel, use the switching node as the initial node, locate the process in the initial cascade plan, and determine the subsequent stage plan; perform an adjustment determination on the subsequent stage plan to determine the control and regulation information; based on the channel switching instruction and the control and regulation information, generate the second regulation information; wherein, the main channel is used for normal grouting operations, and the channel switching instruction is an execution instruction to terminate the grouting operation of the main channel and switch to the standby channel for grouting operation.

[0047] Specifically, if it is the second abnormal state, generate a channel switching instruction for the main channel - standby channel. Since a failure occurs in the main channel equipment (such as the bursting valve getting stuck or failing), the system will stop the grouting operation of the main channel, and at the same time automatically activate the standby channel to continue the grouting operation, ensuring that the hole - sealing operation is not affected by the main channel failure. Then use the switching node as the initial node. The switching node refers to the moment when an abnormality occurs and triggers the channel switching. Locate the process in the initial cascade plan according to the initial node, that is, confirm which step the current hole - sealing grouting operation has progressed to. For example: determine whether the current grouting stage is the initial stage, the middle stage, or the final stage, so that after the standby channel takes over the operation, the subsequent steps can be continued in sequence. After the process location, determine the subsequent stage plan according to the current stage of the grouting operation. The subsequent stage plan will guide the operation steps after the standby channel takes over. For example: if the system was in the middle stage of grouting before the switch, the standby channel will continue to complete this stage according to the plan until the final stage of hole - sealing.

[0048] Then, according to the operation requirements in the subsequent stage plan, perform an adjustment determination to judge whether parameters (such as pressure, flow rate, etc.) need to be adjusted to adapt to the current operation conditions. For example: if the pressure was relatively high before the abnormality occurred in the main channel, the standby channel may need to reduce the pressure to adapt to the current operation situation. Further, after the adjustment determination is completed, generate the control and regulation information, which includes the grouting parameter adjustment plan for the standby channel, such as the target pressure and flow rate of the standby channel. Then combine the channel switching instruction with the control and regulation information to generate the second regulation information. The second regulation information includes an instruction to terminate the operation of the main channel and start the standby channel and the grouting parameter settings (pressure, flow rate, speed, etc.) of the standby channel. Finally, perform the switching between the main channel and the standby channel according to the second regulation information. The main channel is used for normal grouting operations and undertakes the tasks of injecting hole - sealing materials and controlling pressure under normal conditions; when a failure occurs in the main channel or it is no longer suitable for operation, the channel switching instruction is used to terminate the work of the main channel and start the standby channel to continue the grouting operation, ensuring that the hole - sealing process is not interrupted.

[0049] Furthermore, perform an adjustment determination on the subsequent stage plan to determine the control and regulation information. This application includes: Identify the control-related factors in the mining grouting hole sealing operation, classify the correlations between the factors, and construct a multi-level decision-making layer. Among them, each decision-making layer makes decisions with the corresponding control-related factors as greedy objectives; set a preemption mechanism, which is used to preempt the priority order of the decision-making layers; combine the sensing information group to determine the target-related factors, and combine the preemption mechanism to reorganize the layer order of the multi-level decision-making layer to determine the initial decision-making layer, where the target-related factors belong to the control-related factors; based on the initial decision-making layer, execute the parameter control adjustment decision.

[0050] Specifically, the hole sealing grouting operation involves multiple control-related factors, which will directly or indirectly affect the efficiency, safety, and hole sealing effect of the operation. Common control-related factors include grouting pressure, grouting flow rate, gas concentration, operation stage, etc. Since the multiple control-related factors are not independent of each other, they may have strong correlations, weak correlations, or independent relationships. For example, the grouting pressure and flow rate may be strongly correlated, while the equipment status and gas concentration may be independent. Therefore, it is necessary to classify the correlations between the various factors to ensure that those factors that have a key impact on decision-making can be identified. Then, classify the correlations between the factors. 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 level, including grouting pressure and flow rate, directly determines the hole sealing effect; the weak correlation level, including gas concentration and operation stage, affects the overall environment and safety of the operation but does not directly affect the hole sealing quality.

[0051] Then, multiple decision-making levels are constructed based on the classification of control-related factors. Each decision-making level is responsible for processing specific categories of related factors and making decisions based on these factors. For example: The first decision-making level (strong related factors) is responsible for regulating the grouting pressure and flow rate to ensure the hole-sealing effect; The second decision-making level (weak related factors) is responsible for monitoring and adjusting the working environment, such as controlling the gas concentration and adjusting the working stage. Then, each decision-making level sets corresponding greedy goals according to the control-related factors it is responsible for, that is, the primary tasks of the decision-making level. For example: The greedy goal of the first decision-making level is to ensure the optimal combination of grouting pressure and flow rate, and the greedy goal of the second decision-making level is to maintain the safety of the working environment. Further, a preemption mechanism is set. The preemption mechanism is used to set the priority order among the decision-making levels. When multiple decisions need to be executed simultaneously, the decision-making level with a higher priority is automatically selected for execution according to the priority, ensuring that key tasks can be completed first. The role of the preemption mechanism is to prevent the system from processing too many low-priority tasks and ignoring high-priority key operations. In the multi-level decision-making levels, the priority order is set according to the importance and urgency of each decision-making level. For example, the first decision-making level (strong related factors) has the highest priority because it directly determines the effect of the hole-sealing operation; The second decision-making level is next, and the third decision-making level has the lowest priority. When the system discovers that multiple decisions need to be executed, it will activate the preemption mechanism, that is, first execute the tasks of the decision-making level with a higher priority, such as adjusting the pressure or flow rate. If a low-priority task (such as equipment maintenance) is in progress and it is found that the pressure is abnormal and needs to be adjusted, the preemption mechanism will interrupt the equipment maintenance and give priority to executing the pressure adjustment. By introducing the preemption mechanism, it further ensures that high-priority tasks can be executed quickly, improving the operation efficiency and safety.

[0052] Extract the factors that are closely related to the current state change from the sensing information group. These factors are the target-related factors. For example: If the current state is abnormal grouting pressure, then the target-related factors related to this state may be grouting pressure, flow rate, and equipment status; If the gas concentration increases, the target-related factors may be gas concentration, ventilation system status, etc. Then, according to the nature and role of the target-related factors, they are divided into different related groups. The factors within each related group are closely related and can be processed and decided as the same group. For example: The first group includes grouting pressure and flow rate, which belong to strong related factors and directly determine the hole-sealing effect; The second group includes gas concentration and ventilation equipment, which belong to weak related factors and affect the safety of the working environment.

[0053] Then, according to the target correlation factors and the preemption mechanism, the layer sequence of the multi-level decision-making layer is reorganized. First, within each correlation group, based on the current working conditions and the real-time data in the sensing information group, the priorities of the correlation factors are sorted. Then, among the target correlation factors, through hierarchical division, the decisions are prioritized according to their influence, where the decisions at each layer are based on the decision results of the previous layer. At the same time, to ensure the priority processing of critical decisions, a preemption mechanism is introduced. When the decisions of multiple correlation groups need to be executed simultaneously, resources are preempted according to the priorities, and the decisions with higher priorities are processed first. Combining the preemption mechanism, the decision-making layers are reorganized, and the decisions of the correlation factors with higher priorities are placed in the front to ensure the priority execution of critical tasks. Then, according to the priority sorting of the target correlation factors and the preemption mechanism, an initial decision-making layer is generated to ensure that the system can give priority to executing critical operations at the start of the operation or when the state changes. The initial decision-making layer will construct a multi-level hierarchical structure according to the priorities of the target correlation factors. Each decision-making layer is responsible for processing a category of correlation factors, and the decision results of the upper layer will affect the decisions of the lower layer.

[0054] Finally, based on the initial decision-making layer, parameter control and adjustment decisions are executed to ensure that each operation step can maintain the best state, such as adjusting the grouting pressure, flow rate, controlling the gas concentration, monitoring the equipment status, etc. After executing the parameter control and adjustment decisions of each decision-making layer, the system will monitor the current parameter changes in real time (such as the stability of the grouting pressure, the uniformity of the flow rate, the change of the gas concentration, etc.) and dynamically adjust the parameters of each decision-making layer according to the sensing feedback. By identifying the target correlation factors through the sensing information group and combining the preemption mechanism to construct an intelligent multi-level decision-making layer, it is ensured that critical factors are processed first, and various working condition changes in the grouting operation can be dynamically responded to, guaranteeing the efficiency and safety of the operation.

[0055] Furthermore, for the response monitoring during the grouting process, this application includes: Construct and configure a fuzzy judgment module at the front end. The fuzzy judgment module performs the first-stage difference-preserving fuzzy judgment and judgment in the way of self-adjusting AND operation decision-making; set the sensing monitoring mode, where the full-sensing acquisition based on the key response nodes and the random sensing acquisition of the non-key response nodes are used as the sensing monitoring mode. Among them, the random sensing acquisition is based on any one of the full-sensing arrays, and the full-sensing array includes multiple sensor types; based on the sensing monitoring mode and the fuzzy judgment module, perform front-end monitoring management.

[0056] Specifically, a fuzzy judgment module for the front end is constructed and configured. The main function of the fuzzy judgment module is to make intelligent judgments on the uncertainties in the operation. Especially in the case of incomplete or insignificantly changing data, fuzzy logic can be used to make more flexible preliminary analysis and decisions. The fuzzy judgment module processes the sensing data through fuzzy logic to make uncertainty judgments and identify potential problems at an early stage. The fuzzy judgment module mainly includes the differentia-preserving fuzzy judgment and the judgment based on the self-adjusting and operation decision regulation. The differentia-preserving fuzzy judgment means that first, a "differentia-preserving" judgment is made, that is, abnormal signals or potential problems existing in the system are identified. Although these signals may fluctuate within the normal range, they are worthy of attention. The system will not take immediate action but store and mark them as the basis for subsequent judgments. The judgment based on the self-adjusting and operation decision regulation means that after a potential anomaly is judged, based on historical data and the current self-adjusting logic, combined with operation decisions, further analysis is carried out to judge whether parameter adjustment or other intervention measures are needed.

[0057] Set the sensing monitoring mode. The sensing monitoring mode is an important data source for the fuzzy judgment module. By dynamically adjusting the acquisition strategy of the sensing data, the monitoring efficiency of the system is optimized, which can not only ensure high-precision monitoring of key nodes but also reduce the monitoring burden of non-key nodes. The sensing monitoring mode includes full sensing acquisition based on key response nodes and random sensing acquisition based on non-key response nodes. First, configure the full sensing array. The full sensing array is composed of multiple types of sensors, covering all key links of the borehole grouting operation, including multi-dimensional monitoring data such as pressure, flow rate, temperature, gas concentration, and equipment status. Then, at the key response nodes (such as when the grouting pressure reaches the set value, the gas concentration approaches the safety threshold, etc.), full sensing acquisition is performed, that is, the data of all sensors are collected, including grouting pressure, flow rate, gas concentration, equipment status, etc. This mode can ensure that the system obtains global information and makes accurate judgments at critical moments. At non-key response nodes, a random acquisition method is adopted, and data is collected on any one of the sensors in the full sensing array, which can reduce the data processing volume and maintain the high efficiency of the system.

[0058] Finally, based on the above sensing and monitoring mode and the fuzzy judgment module, front-end monitoring and management are carried out. When the system reaches the key response node, the fuzzy judgment module will analyze the data collected by all sensors. If abnormal signals are found (such as abnormal pressure fluctuations but still within the threshold range), the module will perform a differential fuzzy judgment, that is, mark these data as potential problems and store them for further analysis. At non-critical nodes, sensing data is obtained in a random sampling manner, and these data are used as basic monitoring information. If abnormal signals are found during random sampling (such as unstable flow rate), the fuzzy judgment module will make a differential judgment according to the degree of data abnormality or directly trigger the next step of analysis. When the number or severity of the abnormal data marked by the differential fuzzy judgment reaches a certain level, the fuzzy judgment module will make a further judgment in combination with the self-adjustment logic, and make a preliminary decision based on the historical data model, current working conditions and sensor data to determine whether parameter adjustment or emergency plan activation is required. Then, based on the judgment result of the fuzzy judgment module, the system can dynamically adjust the sensing and monitoring mode. For example, when pressure fluctuations are detected, the pressure sensor may be preferentially selected during the next random sampling to ensure continuous monitoring of this parameter.

[0059] By constructing a front-end fuzzy judgment module and setting a sensing and monitoring mode, the fuzzy judgment module can not only identify potential abnormalities, but also achieve intelligent adjustment through self-adjustment and operation decision-making. At the same time, combined with the dynamic sampling strategies for key nodes and non-critical nodes, it can reduce the data processing burden while ensuring monitoring accuracy, and improve the efficiency and safety of the overall operation.

[0060] In summary, the special hole-sealing grouting method for the flexible gas hole-sealing material provided by this application has the following technical effects: By 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, and the intelligent decision-making unit is built into the hole-sealing grouting system; the initial cascade plan responds to the hole-sealing grouting system to control the grouting operation management of the hole-sealing device, wherein the hole-sealing device is jointly driven by a dual-channel grouting channel and includes a main channel and a standby channel; for the multiple damage conditions of the hole-sealing grouting operation, case mining is carried out and a self-adjusting plan is constructed; the front-end sensing device group is synchronously triggered to control and monitor the response during the grouting process to determine the sensing information group, wherein the front-end autonomous regulation based on the multiple damage conditions is executed, and the sensing information group is the part for the back-end operation decision-making; communicate and interact with the sensing information group, combine with the intelligent decision-making unit to conduct feedback decision analysis on the abnormal grouting state, determine the adjustment plan and conduct compensation for the grouting operation management; by introducing an intelligent decision support system, the grouting parameters can be quickly and accurately adjusted to cope with the real-time condition changes during the operation, realizing a more efficient and accurate hole-sealing grouting operation, thereby improving the hole-sealing grouting efficiency and construction quality, and ensuring the continuity and reliability of the hole-sealing grouting operation.

[0061] Embodiment 2. Based on a special hole-sealing grouting method for a flexible gas hole-sealing material in the foregoing embodiment and with the same inventive concept, the present application also provides a special hole-sealing grouting device for a flexible gas hole-sealing material. Please refer to the attached Figure 3 , including: An initial cascade plan determination module 11, configured to obtain the drilling depth and gas concentration, 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 relationships, and the intelligent decision-making unit is built into the hole-sealing grouting system; a grouting operation management module 12, configured to control the grouting operation management of the hole-sealing device in response to the initial cascade plan and the hole-sealing grouting system, wherein the hole-sealing device is jointly driven by a dual-channel grouting channel and includes a main channel and a standby channel; a self-adjusting plan construction module 13, configured to perform case mining and construct a self-adjusting plan for the multiple damage conditions of the hole-sealing grouting operation; a sensing information group determination module 14, configured to synchronously trigger the front-end sensing device group to control and monitor the response during the grouting process to determine the sensing information group, wherein the front-end autonomous regulation based on the multiple damage conditions is executed, and the sensing information group is the part for the back-end operation decision-making; a grouting operation management compensation module 15, configured to communicate and interact with the sensing information group, combine with the intelligent decision-making unit to conduct feedback decision analysis on the abnormal grouting state, determine the adjustment plan and conduct compensation for the grouting operation management.

[0062] Furthermore, the special hole-sealing grouting device for the flexible gas hole-sealing material is also used for: Traverse the entire grouting cycle to determine the key response nodes within the initial cascade plan, where the span of neighborhood nodes is a non-uniform interval; based on the key response nodes, determine the precursor nodes and identify the precursor grouting state, where the precursor grouting state is the expected state, and the precursor nodes are determined by pushing forward a preset time zone before the key response nodes; use the precursor nodes and the key response nodes to perform monitoring and management marking on the initial cascade plan.

[0063] Furthermore, the special grouting device for flexible gas sealing materials is also used for: Based on the constraint of preset emergency level, screen multiple damage conditions; based on the multiple damage conditions, excavate the self-adjustment plan, where the self-adjustment plan includes a damage emergency plan or a damage adjustment plan; if it is the damage emergency plan, perform plan emergency response and determine the sensing information group for backend operation decision-making.

[0064] Furthermore, the special grouting device for flexible gas sealing materials is also used for: Identify the sensing information group and evaluate the abnormal state; if it is the first abnormal state, make a first-mode adjustment decision for the grouting hole-sealing parameters to generate the first control information, where the first abnormal state is abnormal grouting response; if it is the second abnormal state, make a second-mode adjustment decision with the switching control of the grouting pipeline to generate the second control information, where the second abnormal state is abnormal response state of the blasting valve.

[0065] Furthermore, the special grouting device for flexible gas sealing materials is also used for: If it is the second abnormal state, generate a channel switching instruction for the main channel - standby channel, use the switching node as the initial node, perform process positioning in the initial cascade plan to determine the subsequent stage plan; perform adjustment determination on the subsequent stage plan to determine the control and regulation information; based on the channel switching instruction and the control and regulation information, generate the second control information; where the main channel is used for normal grouting operations, and the channel switching instruction is an execution instruction to terminate the grouting operation of the main channel and switch to the standby channel for grouting operations.

[0066] Furthermore, the special grouting device for flexible gas sealing materials is also used for: Excavate the control-related factors of the grouting hole-sealing operation, perform correlation division among the factors, construct a multi-level decision-making layer, where each decision-making layer makes decisions with the corresponding control-related factor as the greedy goal; set a preemption mechanism, where the preemption mechanism is used for preemption of the priority order of the decision-making layers; combine the sensing information group to determine the target-related factors, and combine the preemption mechanism to reorganize the layer sequence of the multi-level decision-making layer to determine the initialization decision-making layer, where the target-related factors belong to the control-related factors; based on the initialization decision-making layer, execute the control and regulation decision.

[0067] Further, the special hole - sealing grouting device for the flexible gas hole - sealing material is also used for: Constructing and configuring a fuzzy judgment module at the front - end, where the fuzzy judgment module performs the first - stage difference - retaining fuzzy judgment and the judgment in the manner of self - adjusting AND - operation decision - making; setting a sensing and monitoring mode, where the full - sensing acquisition based on the key response nodes and the random sensing acquisition of non - key response nodes are used as the sensing and monitoring mode. Among them, the random sensing acquisition is based on any one of the full - sensing arrays, and the full - sensing array includes multiple sensor types; based on the sensing and monitoring mode and the fuzzy judgment module, front - end monitoring management is carried out.

[0068] In the present specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The special hole - sealing grouting method and specific examples in the first - mentioned embodiment 1 are equally applicable to the special hole - sealing grouting device in this embodiment. Through the detailed description of the special hole - sealing grouting method for the flexible gas hole - sealing material, those skilled in the art can clearly know the special hole - sealing grouting device in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be elaborated here. 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 description in the method part.

[0069] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0070] Obviously, those skilled in the art can 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 equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A special hole - sealing grouting method for flexible gas hole - sealing materials, characterized in that the method Including: Obtain the drilling depth and gas concentration, and assist the intelligent decision-making unit to determine the initial cascade plan, where the initial cascade plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision-making unit is built into the hole-sealing grouting system; The initial cascade plan responds to the hole-sealing grouting system to control the grouting operation management of the hole-sealing device. The hole-sealing device is driven by a dual-channel grouting channel and includes a main channel and a standby channel; For the multiple damage conditions of the hole-sealing grouting operation, conduct case mining and construct a self-adjusting plan; The front-end sensing device group is triggered synchronously to control and monitor the grouting process and determine the sensing information group. Among them, the front-end autonomous regulation based on the multiple damage conditions is performed, and the sensing information group is for the back-end operation decision-making part; Communicate and interact with the sensing information group, combine with the intelligent decision-making unit, conduct feedback decision analysis on the abnormal grouting state, determine the adjustment plan, and perform compensation for the grouting operation management.

2. The special hole - sealing grouting method for the flexible gas - sealing hole material according to claim 1, characterized in that, The determination of the initial cascade plan includes: Traverse the entire grouting cycle to determine the key response nodes in the initial cascade plan, where the span of the neighborhood nodes is a non-uniform interval; Based on the key response nodes, determine the precursor nodes and identify the precursor grouting state. The precursor grouting state is the expected state, and the precursor nodes are determined by pushing forward a preset time zone before the key response nodes; Use the precursor nodes and the key response nodes to mark the monitoring and management of the initial cascade plan.

3. The special hole - sealing grouting method for the flexible gas - sealing hole material according to claim 1, characterized in that, The construction of the self-adjusting plan includes: Based on the preset urgency constraint, screen the multiple damage conditions; Based on the multiple damage conditions, mine the self-adjusting plan, where the self-adjusting plan includes a damage emergency plan or a damage adjustment plan; If it is the damage emergency plan, conduct plan emergency response and determine the sensing information group for back-end operation decision-making.

4. The special hole - sealing grouting method for the flexible gas - sealing hole material according to claim 1, characterized in that, The feedback decision analysis of the abnormal grouting state includes: Identify the sensing information group and evaluate the abnormal state; If it is the first abnormal state, make a first-mode adjustment decision for the hole-sealing grouting parameters to generate the first control information. The first abnormal state is the abnormal grouting response; If it is the second abnormal state, make a second-mode adjustment decision with the switching control of the grouting pipeline to generate the second control information. The second abnormal state is the abnormal response state of the blasting valve.

5. The special hole - sealing grouting method for the flexible gas - sealing hole material according to claim 4, characterized in that, Making a second-mode adjustment decision with the switching control of the grouting pipeline includes: If it is the second abnormal state, generate a channel switching instruction for the main channel - standby channel, use the switching node as the initial node, locate the process in the initial cascade plan, and determine the subsequent stage plan; Conduct adjustment judgment on the subsequent stage plan to determine the control parameter adjustment information; Based on the channel switching instruction and the control parameter adjustment information, generate the second control information; Among them, the main channel is used for regular grouting operations, and the channel switching instruction is an execution instruction to terminate the grouting operation of the main channel and switch to the standby channel for grouting operations.

6. The special hole - sealing grouting method for the flexible gas - sealing hole material according to claim 5, characterized in that, Conduct adjustment judgment on the subsequent stage plan to determine the control parameter adjustment information, including: Mine the control correlation factors of the grouting hole sealing operation, classify the correlations between factors, and construct a multi-level decision-making layer. Among them, each decision-making layer makes decisions with the corresponding control correlation factor as the greedy target; Set a preemption mechanism, which is used to preempt the priority order of the decision-making layers; Combined with the sensing information group, determine the target correlation factor, and combined with the preemption mechanism, reorganize the layer sequence of the multi-level decision-making layer to determine the initial decision-making layer, where the target correlation factor belongs to the control correlation factor; Based on the initial decision-making layer, execute the parameter control adjustment decision.

7. The special hole - sealing grouting method for the flexible gas - sealing hole material according to claim 2, characterized in that, Conduct response monitoring during the grouting process, including: Construct and configure the front-end fuzzy judgment module, which executes the first-stage difference-preserving fuzzy judgment and the judgment method based on self-adjusting AND operation decision adjustment; Set the sensing monitoring mode, where the full-sensing acquisition based on the key response nodes and the random sensing acquisition of non-key response nodes are used as the sensing monitoring mode. Among them, the random sensing acquisition is based on any one of the full-sensing arrays, and the full-sensing array includes multiple sensor types; Based on the sensing monitoring mode and the fuzzy judgment module, conduct front-end monitoring management.

8. Special hole - sealing grouting device for flexible gas hole - sealing material, characterized in that, The steps for implementing the special hole-sealing grouting method for the flexible gas hole-sealing material according to any one of claims 1 to 7 include: An initial cascade pre-plan determination module, which is used to obtain the drilling depth and gas concentration, assist the intelligent decision-making unit to determine the initial cascade pre-plan, where the initial cascade pre-plan includes direct control parameters and indirect linear adjustment relationships, and the intelligent decision-making unit is built into the hole-sealing grouting system; A grouting operation management module, which is used to control the grouting operation management of the hole-sealing device in response to the initial cascade pre-plan in the hole-sealing grouting system. Among them, the hole-sealing device is driven by a dual-channel grouting channel and includes a main channel and a standby channel; A self-adjusting pre-plan construction module, which is used to conduct case mining and construct a self-adjusting pre-plan for multiple damage conditions of the hole-sealing grouting operation; A sensing information group determination module, which is used for the front-end sensing device group to trigger synchronously, conduct the control and response monitoring of the grouting process, and determine the sensing information group. Among them, the front-end autonomous regulation based on the multiple damage conditions is executed, and the sensing information group is for the back-end operation decision part; A grouting operation management compensation module, which is used to communicate and interact with the sensing information group, combined with the intelligent decision-making unit, conduct feedback decision analysis of abnormal grouting states, determine the adjustment pre-plan and conduct grouting operation management compensation.

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