An artificial intelligence-based coal mine underground grouting intelligent monitoring system

Abstract

The application discloses an intelligent monitoring system for underground coal mine grouting based on artificial intelligence and relates to the technical field of intelligent monitoring of coal mines.The application is used for solving the technical problems that real-time monitoring and control cannot be performed on various grouting parameters, timely remediation cannot be performed on substandard grouting components to guarantee grouting quality, and the grouting quality cannot be evaluated to reflect the grouting effect of each grouting component.Through real-time collection of grouting-related physical and chemical data and safety data, three signals reflecting the grouting safety of underground coal mine grouting components are obtained through analysis and processing, which facilitates subsequent targeted grouting control and grouting quality evaluation according to the three signals.Through valve closing and automatic adjustment of the grouting water-cement ratio, grouting pressure or grouting flow rate in combination with the underground coal mine grouting components corresponding to the grouting danger signal and the grouting adjustment signal, timely remediation can be performed when the grouting parameters are substandard, and the safety during the remediation process is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology in coal mines, specifically to an intelligent monitoring system for underground grouting in coal mines based on artificial intelligence. Background Technology

[0002] As mining depths increase, the pressure on the surrounding rock in roadways also rises. Supporting roadways with weak and fractured surrounding rock is particularly challenging, and conventional support methods cannot effectively control the surrounding rock, impacting the safety and stability of the roadways. Grouting anchors, combining anchoring support technology and grouting reinforcement technology, significantly improve the strength and self-supporting capacity of the surrounding rock, effectively controlling weak surrounding rock and maintaining roadway stability. The amount of grout injected and the grouting pressure directly affect the grouting effect; therefore, the grouting pressure and flow rate of each grouting anchor have a significant impact on the overall support effect.

[0003] Currently, when coal mine technicians conduct on-site inspections of grouting quality in roadways, they primarily rely on grouting data recorded manually by construction workers or on-site video monitoring, which is susceptible to being misled by false or misleading data. If intelligent monitoring and control of underground grouting in coal mines is required, the following technical problems will arise: the inability to monitor and control multiple grouting parameters in real time, the inability to promptly remedy substandard grouting components to ensure grouting quality, and the inability to evaluate grouting quality to reflect the grouting effect of each component. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent monitoring system for underground grouting in coal mines based on artificial intelligence, which solves the technical problems in the prior art that it is impossible to monitor and control multiple grouting parameters in real time, impossible to remedy substandard grouting components in a timely manner to ensure grouting quality, and impossible to evaluate grouting quality to reflect the grouting effect of each grouting component.

[0005] By collecting physicochemical and safety process data of underground grouting components in coal mines, and combining physicochemical and safety process analysis, it is possible to scientifically and rationally analyze and process grouting-related parameters, obtaining three signals reflecting the grouting safety status of underground grouting components in coal mines. By combining valve closure and automatic adjustment of grouting water-cement ratio, grouting pressure, or grouting flow rate for underground grouting components corresponding to grouting danger signals and grouting adjustment signals, it is possible to promptly remedy situations when grouting parameters are not up to standard, while ensuring safety during the remedial process. This solves the technical problems of not being able to monitor and control multiple grouting parameters in real time and not being able to promptly remedy substandard grouting components to ensure grouting quality.

[0006] By employing a comprehensive ground analysis method that combines labeling, comprehensive correction, preset weighting, and formula calculation of ground safety data and grouting physicochemical factors, three signals reflecting the grouting quality of underground grouting components in coal mines are obtained. This facilitates targeted grouting quality analysis and feedback based on these three signals, improving the quality of grouting process supervision. Automatic adjustments are made to the water-cement ratio, grouting pressure, or grouting flow rate of underground grouting components corresponding to unqualified grouting quality signals. A statistical analysis method is used to calculate the mode and mean of the water-cement ratio, grouting pressure, and grouting flow rate of underground grouting components corresponding to good and qualified grouting quality signals, and compares these values ​​with thresholds to select the optimal parameters. This provides optimal references for grouting parameters, improving subsequent grouting quality. This method also solves the technical problem of being unable to evaluate grouting quality to reflect the grouting effect of each grouting component.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] An intelligent monitoring system for underground grouting in coal mines based on artificial intelligence includes a grouting database, a grouting data acquisition module, a grouting data analysis module, a grouting control module, a ground data acquisition module, a grouting quality assessment module, a grouting quality feedback module, and underground grouting components for coal mines.

[0009] The underground grouting assembly in a coal mine includes a slurry storage tank, grouting pumps, pressure valves, grouting pipes, and grouting anchors. The inlet ends of multiple grouting pumps are connected to the slurry storage tank, the outlet ends of the grouting pumps are connected to the grouting pipes, and the ends of the grouting pipes are connected to the grouting anchors. Along the path from the grouting pump side to the grouting anchor side, a pressure valve, a first electronic induction valve, and a second electronic induction valve are sequentially installed. A high-precision density sensor is installed between the pressure valve and the first electronic induction valve, and a high-precision pressure sensor and a high-precision flow sensor are connected in parallel between the first electronic induction valve and the second electronic induction valve.

[0010] The grouting database is used to store the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold for each underground grouting component in a coal mine.

[0011] The grouting data acquisition module is used to collect physical and chemical process data and safety process data of the grouting components in underground coal mines, and send them to the grouting data analysis module.

[0012] The grouting data analysis module is used to perform physical and chemical process analysis on the physical and chemical process data to generate grouting physical and chemical factors and send them to the grouting quality assessment module. It also performs safety process analysis on the safety process data to generate grouting safety factors. After comprehensive analysis and processing of the grouting physical and chemical factors and grouting safety factors, it generates grouting hazard signals, grouting adjustment signals or grouting safety signals and sends them to the grouting control module.

[0013] The grouting control module is used to automatically close the pressure valve, the first electronic sensing valve, and the second electronic sensing valve of the underground grouting component corresponding to the grouting danger signal in the coal mine, and to automatically adjust the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting component in the coal mine; it is also used to automatically close the pressure valve of the underground grouting component corresponding to the grouting adjustment signal in the coal mine, and to automatically adjust the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting component in the coal mine.

[0014] The ground data acquisition module is used to collect ground safety data of the underground grouting components in coal mines and send it to the grouting quality assessment module. The ground safety data includes the grouting depth, grouting bottom cross-sectional area, and grouting tilt angle of each underground grouting component in coal mines.

[0015] The grouting quality assessment module is used to perform comprehensive ground analysis on ground safety data and grouting physicochemical factors to generate a good grouting quality signal, a qualified grouting quality signal, or a substandard grouting quality signal, and then send the good grouting quality signal, qualified grouting quality signal, or substandard grouting quality signal to the grouting quality feedback module.

[0016] By collecting physicochemical and safety process data of underground grouting components in coal mines, and combining physicochemical and safety process analysis, three signals reflecting the grouting safety status of underground grouting components are obtained. By combining valve closure and automatic adjustment of grouting water-cement ratio, grouting pressure, or grouting flow rate for underground grouting components corresponding to grouting danger and adjustment signals, timely remedial measures can be taken when grouting parameters are substandard, ensuring safety during the remedial process. Through comprehensive analysis of surface safety data and grouting physicochemical factors, three signals reflecting the grouting quality of underground grouting components are obtained. For grouting quality failure signals, the grouting water-cement ratio, grouting pressure, or grouting flow rate of underground grouting components are automatically adjusted. For grouting quality good and qualified signals, the optimal parameters for grouting water-cement ratio, grouting pressure, and grouting flow rate of underground grouting components are selected through statistical analysis over a fixed time period, providing optimal reference for grouting parameters.

[0017] Furthermore, the physical and chemical process data includes the grouting water-cement ratio, grouting pressure, grouting flow rate, and the grouting pressure change rate and grouting flow rate change rate per unit time for each underground grouting component in the coal mine; the safety process data includes the vertical vibration frequency of the coal wall at the grouting point, the horizontal vibration frequency of the coal wall at the grouting point, the instantaneous discharge volume of the grouting pump, and the instantaneous working pressure of the grouting pump for each underground grouting component in the coal mine.

[0018] The physical and chemical process analysis is as follows: Physical and chemical process data of underground grouting components in coal mines are obtained, and the grouting water-cement ratio, grouting pressure, grouting flow rate, and the rate of change of grouting pressure and grouting flow rate per unit time are labeled as WSi, WPi, WLi, WAi, and WBi, respectively, i = 1, ..., n, where n is a positive integer greater than 1; the grouting physical and chemical factor WHi for each underground grouting component in coal mines is obtained through processing.

[0019] The safety process analysis is as follows: Safety process data for underground grouting components in coal mines is acquired, and the vertical vibration frequency of the coal wall at the grouting point, the horizontal vibration frequency of the coal wall at the grouting point, the instantaneous discharge volume of the grouting pump, and the instantaneous working pressure of the grouting pump are labeled ACi, ASi, ALi, and APi, respectively, i = 1, ..., n, where n is a positive integer greater than 1; the grouting safety factor AQi for each underground grouting component in the coal mine is obtained through processing.

[0020] The process of generating grouting hazard signals, grouting adjustment signals, or grouting safety signals after comprehensive analysis and processing of grouting physicochemical factors and grouting safety factors is as follows: Multiply the grouting physicochemical factor WHi and the grouting safety factor AQi to obtain the comprehensive process factor GZi for each underground grouting component in a coal mine; compare the comprehensive process factor GZi with its preset range; when the comprehensive process factor is greater than the maximum value of its preset range, a grouting hazard signal is generated; when the comprehensive process factor is within its preset range, a grouting adjustment signal is generated; when the comprehensive process factor is less than the minimum value of its preset range, a grouting safety signal is generated.

[0021] Furthermore, the steps for automatically adjusting the water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting assembly in this coal mine are as follows:

[0022] Step 1: Repeatedly collect the physical and chemical process data and safety process data of the underground grouting components in the coal mine corresponding to the grouting danger signal and grouting adjustment signal after a unit time, and perform physical and chemical process analysis on the physical and chemical process data to generate grouting physical and chemical factors, and perform safety process analysis on the safety process data to generate grouting safety factors.

[0023] Step two involves comprehensively analyzing and processing the grouting physicochemical factors and grouting safety factors. If a grouting safety signal is generated, no adjustments are made. If a grouting adjustment signal is generated, the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold of the underground grouting component corresponding to the grouting adjustment signal are retrieved, and the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting component are adjusted to be within a range of 2-6% lower than their corresponding thresholds. If a grouting danger signal is generated, the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold of the underground grouting component corresponding to the grouting adjustment signal are retrieved, and the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting component are adjusted to be within a range of 6-10% lower than their respective thresholds.

[0024] Further, the comprehensive ground analysis includes the following steps:

[0025] Step 1: Obtain the surface safety data and grouting physicochemical factor WHi of the underground grouting components in the coal mine, and label the grouting depth, grouting bottom cross-sectional area, and grouting inclination angle of each underground grouting component as WDi, WMi, and WJi, respectively, i = 1, ..., n, where n is a positive integer greater than 1; process to obtain the surface comprehensive factor WZi of each underground grouting component in the coal mine.

[0026] Step 2: Compare the surface comprehensive factor WZi of each underground grouting component in the coal mine with its preset range. When the surface comprehensive factor is less than the minimum value of its preset range, a good grouting quality signal is generated; when the surface comprehensive factor is within its preset range, a qualified grouting quality signal is generated; when the surface comprehensive factor is greater than the maximum value of its preset range, a substandard grouting quality signal is generated.

[0027] Furthermore, the grouting quality feedback module is used to automatically adjust the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to the grouting quality failure signal; it is also used to statistically analyze the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to the grouting quality good signal and the grouting quality qualified signal, so as to obtain the optimal grouting water-cement ratio, optimal grouting pressure, and optimal grouting flow rate.

[0028] The process of automatically adjusting the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting component corresponding to the grouting quality failure signal is as follows: Obtain the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold of the underground grouting component corresponding to the grouting quality failure signal, and adjust the grouting water-cement ratio, pressure, and flow rate of the underground grouting component to a range of 6-10% less than its threshold.

[0029] Further statistical analysis includes the following steps:

[0030] Step 1: Obtain the physicochemical process data of the underground grouting components corresponding to the good grouting quality signal and the qualified grouting quality signal within a fixed time period, and filter out the grouting water-cement ratio, grouting pressure and grouting flow rate for each unit time.

[0031] Step 2: Integrate the grouting water-cement ratio, grouting pressure, and grouting flow rate for each unit time, and obtain the mode, mean, average, mode, mode, and mean of the grouting water-cement ratio, grouting pressure, grouting flow rate, and mean of the grouting flow rate for the underground grouting components in the coal mine, based on the calculation methods of the mode and geometric mean.

[0032] Step 3: Compare the mode of the grouting water-cement ratio of the underground grouting component with the grouting water-cement ratio threshold. If it is less than the threshold, the mode is the optimal grouting water-cement ratio; if it is greater than the threshold, the average grouting water-cement ratio is the optimal grouting water-cement ratio. Compare the mode of the grouting pressure of the underground grouting component with the grouting pressure threshold. If it is less than the threshold, the mode is the optimal grouting pressure; if it is greater than the threshold, the average grouting pressure is the optimal grouting pressure. Compare the mode of the grouting flow rate of the underground grouting component with the grouting flow rate threshold. If it is less than the threshold, the mode is the optimal grouting flow rate; if it is greater than the threshold, the average grouting flow rate is the optimal grouting flow rate.

[0033] The present invention has the following beneficial effects:

[0034] 1. This invention utilizes real-time acquisition of grouting-related physical and chemical data and safety data, combined with physical and chemical process analysis and safety process analysis, to facilitate scientific and rational analysis and processing of grouting-related parameters. This yields three signals reflecting the grouting safety status of underground grouting components in coal mines, enabling targeted grouting control and quality assessment based on these signals. Furthermore, by combining valve closure and automatic adjustment of the grouting water-cement ratio, grouting pressure, or grouting flow rate for underground grouting components corresponding to grouting danger and adjustment signals, timely remedial action is possible when grouting parameters fail to meet standards, while ensuring safety during the remedial process.

[0035] 2. This invention collects surface safety data from underground grouting components in coal mines and performs comprehensive surface analysis of the surface safety data and grouting physicochemical factors to obtain three signals reflecting the grouting quality of the underground grouting components. This facilitates subsequent targeted grouting quality analysis and feedback based on these three signals, improving the quality of supervision during the grouting process. Furthermore, for the grouting quality good and qualified signals, the invention employs a statistical analysis method that calculates the mode and mean of the grouting water-cement ratio, grouting pressure, and grouting flow rate corresponding to the underground grouting components within a fixed time period, and compares these values ​​with thresholds to select the optimal parameters. This method provides optimal references for grouting parameters and improves subsequent grouting quality. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a block diagram of the intelligent monitoring system for underground grouting in coal mines according to the present invention;

[0038] Figure 2 This is a schematic diagram of the underground grouting assembly for coal mines according to the present invention;

[0039] Figure 3 This is a flowchart of the intelligent monitoring method for underground grouting in coal mines according to the present invention.

[0040] Reference numerals in the attached drawings: 1. Grout storage tank; 2. Grouting pump; 3. Pressure valve; 4. Grouting pipe; 5. Grouting anchor; 6. First electronic induction valve; 7. Second electronic induction valve; 8. High-precision density sensor; 9. High-precision pressure sensor; 10. High-precision flow sensor. Detailed Implementation

[0041] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Example 1

[0043] like Figure 1-2 As shown, this embodiment provides an intelligent monitoring system for underground grouting in coal mines based on artificial intelligence, including a grouting database, a grouting data acquisition module, a grouting data analysis module, a grouting control module, a ground data acquisition module, a grouting quality assessment module, a grouting quality feedback module, and underground grouting components in coal mines.

[0044] The underground grouting assembly in a coal mine includes a slurry storage tank 1, grouting pumps 2, pressure valves 3, grouting pipes 4, and grouting anchors 5. The inlet ends of multiple grouting pumps 2 are connected to the slurry storage tank 1, and the outlet ends of the grouting pumps 2 are connected to the grouting pipes 4. The end of the grouting pipes 4 is connected to the grouting anchors 5. Along the path from the grouting pumps 2 to the grouting anchors 5, the grouting pipes 4 are sequentially equipped with a pressure valve 3, a first electronic sensing valve 6, and a second electronic sensing valve 7. A high-precision density sensor 8 is installed between the pressure valve 3 and the first electronic sensing valve 6. A high-precision pressure sensor 9 and a high-precision flow sensor 10 are connected in parallel between the first electronic sensing valve 6 and the second electronic sensing valve 7. The high-precision density sensor 8, high-precision pressure sensor 9, and high-precision flow sensor 10 are used to detect the density, pressure, and flow rate of the slurry in the grouting pipes 4, respectively.

[0045] Generally, the water-cement ratio and density of grout have the following theoretical relationship (without considering the chemical reaction of some substances after water and cement are mixed and the dissolution of some substances in water):

[0046]

[0047] In the formula: n is the water-cement ratio of the cement grout, ρ c ρ is the density of cement. G ρ is the density of the cement slurry. W The water density is the density of the slurry. After measuring the density of the slurry, the water-cement ratio of the slurry can be automatically calculated according to the above formula.

[0048] The grouting database is used to store the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold for each underground grouting component in a coal mine.

[0049] The grouting data acquisition module collects physicochemical and safety process data of underground grouting components in coal mines and sends them to the grouting data analysis module. The physicochemical process data includes the water-cement ratio, grouting pressure, grouting flow rate, and the rate of change of grouting pressure and flow rate per unit time for each underground grouting component. The safety process data includes the vertical and horizontal vibration frequencies of the coal wall at the grouting point, the instantaneous discharge volume of the grouting pump, and the instantaneous operating pressure of the grouting pump for each underground grouting component, with a unit time of 20 seconds. Both the physicochemical and safety process data are acquired through existing sensors or calculated after acquisition.

[0050] The grouting data acquisition module collects physical and chemical process data and safety process data of the grouting components in underground coal mines. The physical and chemical process data includes various parameters such as grouting water-cement ratio, grouting pressure and its rate of change, and grouting flow rate and its rate of change. The safety process data includes various parameters such as vibration frequency, drainage volume, and working pressure. Real-time acquisition of various grouting-related parameters facilitates scientific and reasonable grouting control and grouting quality assessment for each underground coal mine grouting component.

[0051] The grouting data analysis module is used to perform physical and chemical process analysis on the physical and chemical process data to generate grouting physical and chemical factors and send them to the grouting quality assessment module. It also performs safety process analysis on the safety process data to generate grouting safety factors. After comprehensive analysis and processing of the grouting physical and chemical factors and grouting safety factors, it generates grouting hazard signals, grouting adjustment signals or grouting safety signals and sends them to the grouting control module.

[0052] The grouting physical factors are obtained through physical process analysis, which combines labeling, physical correction, preset weights, and formula calculation of physical process data. The grouting safety factors are obtained through safety process analysis, which combines labeling, safety correction, preset weights, and formula calculation of safety process data. After analysis and processing of the grouting physical factors and grouting safety factors, a variety of grouting signals are obtained. The combination of physical process analysis and safety process analysis is conducive to the scientific and reasonable analysis and processing of grouting-related parameters, resulting in three signals reflecting the grouting safety status of underground grouting components in coal mines. This facilitates subsequent targeted grouting control and grouting quality assessment based on these three signals.

[0053] The physicochemical process analysis is as follows: Obtain the physicochemical process data of the grouting components in the coal mine, and label the grouting water-cement ratio, grouting pressure, grouting flow rate, and the rate of change of grouting pressure and grouting flow rate per unit time as WSi, WPi, WLi, WAi, and WBi, respectively, i = 1, ..., n, where n is a positive integer greater than 1; according to the formula... The grouting physicochemical factor WHi for each underground grouting component in a coal mine is obtained; where α is the physicochemical correction factor and α = 1.026, a1, a2, and a3 are all preset weight coefficients, a1 > a2 > a3 > 0 and a1 + a2 + a3 = 5.368;

[0054] The safety process analysis is as follows: Obtain safety process data for the underground grouting components in the coal mine, and label the vertical vibration frequency of the coal wall at the grouting point, the horizontal vibration frequency of the coal wall at the grouting point, the instantaneous discharge volume of the grouting pump, and the instantaneous working pressure of the grouting pump as ACi, ASi, ALi, and APi, respectively, i = 1, ..., n, where n is a positive integer greater than 1; according to the formula... The grouting safety factor AQi for each underground grouting component in a coal mine is obtained; where β is the safety correction factor and β = 0.927, b1, b2, b3, and b4 are all preset weight coefficients, b3 > b4 > b1 > b2 > 0 and b1 + b2 + b3 + b4 = 6.437;

[0055] The process of generating grouting hazard signals, grouting adjustment signals, or grouting safety signals after comprehensive analysis and processing of grouting physicochemical factors and grouting safety factors is as follows: The grouting physicochemical factor WHi and the grouting safety factor AQi are multiplied to obtain the comprehensive process factor GZi for each underground grouting component in a coal mine; the comprehensive process factor GZi is compared with its preset range. When the comprehensive process factor is greater than the maximum value of its preset range, a grouting hazard signal is generated; when the comprehensive process factor is within its preset range, a grouting adjustment signal is generated; when the comprehensive process factor is less than the minimum value of its preset range, a grouting safety signal is generated. It should be noted that the larger the apparent value of the comprehensive process factor, the greater the grouting safety risk of the underground grouting component in the coal mine.

[0056] The grouting control module is used to automatically close the pressure valve, the first electronic sensing valve, and the second electronic sensing valve of the underground grouting component corresponding to the grouting danger signal in the coal mine, and to automatically adjust the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting component in the coal mine; it is also used to automatically close the pressure valve of the underground grouting component corresponding to the grouting adjustment signal in the coal mine, and to automatically adjust the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting component in the coal mine.

[0057] By controlling the valves of the underground grouting components corresponding to grouting danger signals and grouting adjustment signals, and by automatically adjusting the grouting water-cement ratio, grouting pressure, or grouting flow rate, it is possible to promptly remedy situations when grouting parameters do not meet standards, while ensuring safety during the remedy process.

[0058] The steps for automatically adjusting the water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting assembly in this coal mine are as follows:

[0059] Step 1: Repeatedly collect the physical and chemical process data and safety process data of the underground grouting components in the coal mine corresponding to the grouting danger signal and grouting adjustment signal after a unit time. Perform physical and chemical process analysis on the physical and chemical process data to generate grouting physical and chemical factors, and perform safety process analysis on the safety process data to generate grouting safety factors; the unit time is 20s.

[0060] Step two involves a comprehensive analysis of the grouting physicochemical factors and grouting safety factors. If a grouting safety signal is generated, no adjustments are made. If a grouting adjustment signal is generated, the corresponding water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold for the underground grouting component in the coal mine are retrieved, and these thresholds are adjusted to be 2-6% lower than their respective thresholds. If a grouting danger signal is generated, the corresponding water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold for the underground grouting component in the coal mine are retrieved, and these thresholds are adjusted to be 6-10% lower than their respective thresholds. Specifically, the water-cement ratio is adjusted by regulating the water-cement ratio entering the grout storage tank; the grouting pressure is adjusted by regulating the grouting pump pressure; and the grouting flow rate is adjusted by regulating the grouting pump flow rate.

[0061] The ground data acquisition module is used to collect ground safety data of the underground grouting components in coal mines and send it to the grouting quality assessment module. The ground safety data includes the grouting depth, bottom cross-sectional area, and inclination angle of each underground grouting component. All ground safety data is collected using existing sensors or calculated after collection.

[0062] The grouting quality assessment module is used to perform comprehensive ground analysis on ground safety data and grouting physicochemical factors to generate a good grouting quality signal, a qualified grouting quality signal, or a substandard grouting quality signal, and then send the good grouting quality signal, qualified grouting quality signal, or substandard grouting quality signal to the grouting quality feedback module.

[0063] By collecting surface safety data of underground grouting components in coal mines, including parameters such as grouting depth, cross-sectional area at the bottom of the grouting layer, and grouting inclination angle, it is possible to scientifically evaluate and provide feedback on grouting quality by combining these data with grouting physicochemical factors. Through a comprehensive surface analysis method that combines labeling, comprehensive correction, preset weighting, and formula calculation of surface safety data and grouting physicochemical factors, three signals reflecting the grouting quality of underground grouting components in coal mines are obtained. This facilitates targeted grouting quality analysis and feedback based on these three signals, thereby improving the supervision quality of the grouting process.

[0064] The comprehensive ground analysis includes the following steps:

[0065] Step 1: Obtain the surface safety data and grouting physicochemical factor WHi of the underground grouting components in the coal mine. Label the grouting depth, grouting bottom cross-sectional area, and grouting inclination angle of each underground grouting component as WDi, WMi, and WJi, respectively, i = 1, ..., n, where n is a positive integer greater than 1. Then, apply the formula WZi = ε(c1*WDi + c2*WMi). WJi*WHi obtains the surface comprehensive factor WZi for each underground grouting component in a coal mine; where ε is the comprehensive correction factor and ε=1.237, c1 and c2 are preset weight coefficients, c1>c2>0 and c1+c2=3.172;

[0066] Step two involves comparing the surface comprehensive factor WZi of each underground grouting component in the coal mine with its preset range. A good grouting quality signal is generated when the surface comprehensive factor is less than the minimum value of the preset range; a qualified grouting quality signal is generated when the surface comprehensive factor is within the preset range; and a substandard grouting quality signal is generated when the surface comprehensive factor is greater than the maximum value of the preset range. It should be noted that the higher the apparent value of the surface comprehensive factor of the underground grouting component, the worse the grouting quality of the underground grouting component.

[0067] The grouting quality feedback module is used to automatically adjust the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to the grouting quality failure signal in the coal mine; it is also used to statistically analyze the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to the grouting quality good signal and the grouting quality qualified signal in the coal mine, so as to obtain the optimal grouting water-cement ratio, optimal grouting pressure, and optimal grouting flow rate.

[0068] By automatically adjusting the water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting components corresponding to unqualified grouting quality signals in coal mines; and by calculating the mode and mean of the water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to good and qualified grouting quality signals in coal mines within a fixed time period, and comparing them with thresholds to select the optimal parameters, this statistical analysis method can provide optimal references for grouting parameters and improve subsequent grouting quality.

[0069] The process of automatically adjusting the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting component corresponding to the grouting quality failure signal is as follows: Obtain the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold of the underground grouting component corresponding to the grouting quality failure signal, and adjust the grouting water-cement ratio, pressure, and flow rate of the underground grouting component to a range of 6-10% less than its threshold.

[0070] Statistical analysis includes the following steps:

[0071] Step 1: Obtain the physicochemical process data of the underground grouting components corresponding to the good grouting quality signal and the qualified grouting quality signal within a fixed time period, and filter out the grouting water-cement ratio, grouting pressure and grouting flow rate for each unit time; the fixed time period is selected from 1 day, and the unit time is 20 seconds;

[0072] Step 2: Integrate the grouting water-cement ratio, grouting pressure, and grouting flow rate for each unit time, and obtain the mode, mean, average, mode, mode, and mean of the grouting water-cement ratio, grouting pressure, grouting flow rate, and mean of the grouting flow rate for the underground grouting components in the coal mine, based on the calculation methods of the mode and geometric mean.

[0073] Step 3: Compare the mode of the grouting water-cement ratio of the underground grouting component with the grouting water-cement ratio threshold. If it is less than the threshold, the mode is the optimal grouting water-cement ratio; if it is greater than the threshold, the average grouting water-cement ratio is the optimal grouting water-cement ratio. Compare the mode of the grouting pressure of the underground grouting component with the grouting pressure threshold. If it is less than the threshold, the mode is the optimal grouting pressure; if it is greater than the threshold, the average grouting pressure is the optimal grouting pressure. Compare the mode of the grouting flow rate of the underground grouting component with the grouting flow rate threshold. If it is less than the threshold, the mode is the optimal grouting flow rate; if it is greater than the threshold, the average grouting flow rate is the optimal grouting flow rate.

[0074] The aforementioned preset weighting coefficients are used to balance the proportion of various data in the formula calculation, thereby improving the accuracy of the calculation results. The size of the coefficients is to quantify each parameter into a specific value for easy comparison later. The size of the coefficients depends on the amount of sample data and the weighting factor coefficients initially set by those skilled in the art for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantified value, it is acceptable. The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the true value. The coefficients in the formulas are set by those skilled in the art according to the actual situation.

[0075] Example 2

[0076] like Figure 1-3 As shown, this embodiment provides an intelligent monitoring method for underground grouting in coal mines based on artificial intelligence, including the following steps:

[0077] Construction of underground grouting components in coal mines: Based on the lithology and angle of construction, the grouting pump 2, pressure valve 3, first electronic induction valve 6 and second electronic induction valve 7 of the underground grouting components in coal mines are turned on. The grout in the grout storage tank 1 is pressurized and injected into the surrounding rock of the underground roadway in the coal mine through the grouting pipe 4 and the grouting anchor 5.

[0078] Data collection on physical and chemical processes and safety processes: Collecting physical and chemical process data and safety process data for grouting components in underground coal mines;

[0079] Ground safety data acquisition: Collect ground safety data for underground grouting components in coal mines;

[0080] Grouting data analysis: Physical and chemical process data are analyzed to generate grouting physical and chemical factors, and safety process data are analyzed to generate grouting safety factors. After comprehensive analysis and processing of grouting physical and chemical factors and grouting safety factors, grouting hazard signals, grouting adjustment signals or grouting safety signals are generated.

[0081] Grouting control: Automatically closes the pressure valve, first electronic sensing valve, and second electronic sensing valve of the underground grouting component corresponding to the grouting danger signal in the coal mine, and automatically adjusts the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting component in the coal mine; used to automatically close the pressure valve of the underground grouting component corresponding to the grouting adjustment signal in the coal mine, and automatically adjust the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting component in the coal mine;

[0082] Grouting quality assessment: A comprehensive analysis of ground safety data and grouting physicochemical factors is performed to generate signals indicating good grouting quality, qualified grouting quality, or unqualified grouting quality.

[0083] Grouting quality feedback: Automatically adjust the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to the grouting quality failure signal; statistically analyze the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to the grouting quality good signal and the grouting quality qualified signal to obtain the optimal grouting water-cement ratio, optimal grouting pressure, and optimal grouting flow rate.

[0084] This embodiment of the intelligent monitoring method for underground grouting in coal mines combines valve closure and automatic adjustment of the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting components corresponding to grouting danger signals and grouting adjustment signals. This facilitates timely remediation when grouting parameters fail to meet standards, while ensuring safety during the remediation process. It also automatically adjusts the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting components corresponding to grouting quality failure signals. Furthermore, it employs a statistical analysis method that calculates the mode and mean of the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to grouting quality good signals and grouting quality qualified signals within a fixed time period, and compares these values ​​with thresholds to select the optimal parameters. This provides optimal reference for grouting parameters and improves subsequent grouting quality.

[0085] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent monitoring system for underground grouting in coal mines based on artificial intelligence, characterized in that, It includes a grouting database, a grouting data acquisition module, a grouting data analysis module, a grouting control module, a ground data acquisition module, a grouting quality assessment module, a grouting quality feedback module, and underground coal mine grouting components; The underground grouting assembly in a coal mine includes a slurry storage tank (1), a grouting pump (2), a pressure valve (3), a grouting pipe (4), and a grouting anchor (5). The feed ends of multiple grouting pumps (2) are connected to the slurry storage tank (1), the discharge ends of the grouting pumps (2) are connected to the grouting pipe (4), and the ends of the grouting pipe (4) are connected to the grouting anchor (5). The grouting pipe (4) is provided with a pressure valve (3), a first electronic induction valve (6), and a second electronic induction valve (7) in sequence along the path from the grouting pump (2) side to the grouting anchor (5) side. A high-precision density sensor (8) is provided between the pressure valve (3) and the first electronic induction valve (6), and a high-precision pressure sensor (9) and a high-precision flow sensor (10) are connected in parallel between the first electronic induction valve (6) and the second electronic induction valve (7). The grouting database is used to store the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold for each underground grouting component in a coal mine. The grouting data acquisition module is used to collect physical and chemical process data and safety process data of the grouting components in underground coal mines, and send them to the grouting data analysis module. The grouting data analysis module is used to perform physical and chemical process analysis on the physical and chemical process data to generate grouting physical and chemical factors and send them to the grouting quality assessment module. It also performs safety process analysis on the safety process data to generate grouting safety factors. After comprehensive analysis and processing of the grouting physical and chemical factors and grouting safety factors, it generates grouting hazard signals, grouting adjustment signals or grouting safety signals and sends them to the grouting control module. The grouting control module is used to automatically close the pressure valve, the first electronic sensing valve, and the second electronic sensing valve of the underground grouting component corresponding to the grouting danger signal in the coal mine, and to automatically adjust the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting component in the coal mine; it is also used to automatically close the pressure valve of the underground grouting component corresponding to the grouting adjustment signal in the coal mine, and to automatically adjust the grouting water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting component in the coal mine. The ground data acquisition module is used to collect ground safety data of the underground grouting components in coal mines and send it to the grouting quality assessment module. The ground safety data includes the grouting depth, grouting bottom cross-sectional area, and grouting tilt angle of each underground grouting component in coal mines. The grouting quality assessment module is used to perform comprehensive ground analysis on ground safety data and grouting physicochemical factors to generate a good grouting quality signal, a qualified grouting quality signal, or a substandard grouting quality signal, and then send the good grouting quality signal, qualified grouting quality signal, or substandard grouting quality signal to the grouting quality feedback module. By collecting physicochemical and safety process data of underground grouting components in coal mines, and combining physicochemical and safety process analysis, three signals reflecting the grouting safety status of underground grouting components are obtained. By combining valve closure and automatic adjustment of grouting water-cement ratio, grouting pressure, or grouting flow rate for underground grouting components corresponding to grouting danger and adjustment signals, timely remedial measures can be taken when grouting parameters are substandard, ensuring safety during the remedial process. Through comprehensive analysis of surface safety data and grouting physicochemical factors, three signals reflecting the grouting quality of underground grouting components are obtained. For grouting quality failure signals, the grouting water-cement ratio, grouting pressure, or grouting flow rate of underground grouting components are automatically adjusted. For grouting quality good and qualified signals, the optimal parameters for grouting water-cement ratio, grouting pressure, and grouting flow rate of underground grouting components are selected through statistical analysis over a fixed time period, providing optimal reference for grouting parameters.

2. The intelligent monitoring system for underground grouting in coal mines based on artificial intelligence according to claim 1, characterized in that, The physical and chemical process data includes the grouting water-cement ratio, grouting pressure, grouting flow rate, and the grouting pressure change rate and grouting flow rate change rate per unit time for each underground grouting component in the coal mine; the safety process data includes the vertical vibration frequency of the coal wall at the grouting point, the horizontal vibration frequency of the coal wall at the grouting point, the instantaneous discharge volume of the grouting pump, and the instantaneous working pressure of the grouting pump for each underground grouting component in the coal mine. The physical and chemical process analysis is as follows: Physical and chemical process data of underground grouting components in coal mines are obtained, and the grouting water-cement ratio, grouting pressure, grouting flow rate, and the rate of change of grouting pressure and grouting flow rate per unit time are labeled as WSi, WPi, WLi, WAi, and WBi, respectively, i = 1, ..., n, where n is a positive integer greater than 1; the grouting physical and chemical factor WHi for each underground grouting component in coal mines is obtained through processing. The safety process analysis is as follows: Safety process data for underground grouting components in coal mines is acquired, and the vertical vibration frequency of the coal wall at the grouting point, the horizontal vibration frequency of the coal wall at the grouting point, the instantaneous discharge volume of the grouting pump, and the instantaneous working pressure of the grouting pump are labeled ACi, ASi, ALi, and APi, respectively, i = 1, ..., n, where n is a positive integer greater than 1; the grouting safety factor AQi for each underground grouting component in the coal mine is obtained through processing. The process of generating grouting hazard signals, grouting adjustment signals, or grouting safety signals after comprehensive analysis and processing of grouting physicochemical factors and grouting safety factors is as follows: Multiply the grouting physicochemical factor WHi and the grouting safety factor AQi to obtain the comprehensive process factor GZi for each underground grouting component in a coal mine; compare the comprehensive process factor GZi with its preset range; when the comprehensive process factor is greater than the maximum value of its preset range, a grouting hazard signal is generated; when the comprehensive process factor is within its preset range, a grouting adjustment signal is generated; when the comprehensive process factor is less than the minimum value of its preset range, a grouting safety signal is generated.

3. The intelligent monitoring system for underground grouting in coal mines based on artificial intelligence according to claim 2, characterized in that, The steps for automatically adjusting the water-cement ratio, grouting pressure, or grouting flow rate of the underground grouting assembly in this coal mine are as follows: Step 1: Repeatedly collect the physical and chemical process data and safety process data of the underground grouting components in the coal mine corresponding to the grouting danger signal and grouting adjustment signal after a unit time, and perform physical and chemical process analysis on the physical and chemical process data to generate grouting physical and chemical factors, and perform safety process analysis on the safety process data to generate grouting safety factors. Step two involves comprehensively analyzing and processing the grouting physicochemical factors and grouting safety factors. If a grouting safety signal is generated, no adjustments are made. If a grouting adjustment signal is generated, the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold of the underground grouting component corresponding to the grouting adjustment signal are retrieved, and the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting component are adjusted to be within a range of 2-6% lower than their corresponding thresholds. If a grouting danger signal is generated, the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold of the underground grouting component corresponding to the grouting adjustment signal are retrieved, and the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting component are adjusted to be within a range of 6-10% lower than their respective thresholds.

4. The intelligent monitoring system for underground grouting in coal mines based on artificial intelligence according to claim 1, characterized in that, The comprehensive ground analysis includes the following steps: Step 1: Obtain the surface safety data and grouting physicochemical factor WHi of the underground grouting components in the coal mine, and label the grouting depth, grouting bottom cross-sectional area, and grouting inclination angle of each underground grouting component as WDi, WMi, and WJi, respectively, i = 1, ..., n, where n is a positive integer greater than 1; process to obtain the surface comprehensive factor WZi of each underground grouting component in the coal mine. Step 2: Compare the surface comprehensive factor WZi of each underground grouting component in the coal mine with its preset range. When the surface comprehensive factor is less than the minimum value of its preset range, a good grouting quality signal is generated; when the surface comprehensive factor is within its preset range, a qualified grouting quality signal is generated; when the surface comprehensive factor is greater than the maximum value of its preset range, a substandard grouting quality signal is generated.

5. The intelligent monitoring system for underground grouting in coal mines based on artificial intelligence according to claim 4, characterized in that, The grouting quality feedback module is used to automatically adjust the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to the grouting quality failure signal in the coal mine; it is also used to statistically analyze the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting components corresponding to the grouting quality good signal and the grouting quality qualified signal in the coal mine, and to obtain the optimal grouting water-cement ratio, optimal grouting pressure, and optimal grouting flow rate; The process of automatically adjusting the grouting water-cement ratio, grouting pressure, and grouting flow rate of the underground grouting component corresponding to the grouting quality failure signal is as follows: Obtain the grouting water-cement ratio threshold, grouting pressure threshold, and grouting flow rate threshold of the underground grouting component corresponding to the grouting quality failure signal, and adjust the grouting water-cement ratio, pressure, and flow rate of the underground grouting component to a range of 6-10% less than its threshold.

6. The intelligent monitoring system for underground grouting in coal mines based on artificial intelligence according to claim 5, characterized in that, Statistical analysis includes the following steps: Step 1: Obtain the physicochemical process data of the underground grouting components corresponding to the good grouting quality signal and the qualified grouting quality signal within a fixed time period, and filter out the grouting water-cement ratio, grouting pressure and grouting flow rate for each unit time. Step 2: Integrate the grouting water-cement ratio, grouting pressure, and grouting flow rate for each unit time, and obtain the mode, mean, average, mode, mode, and mean of the grouting water-cement ratio, grouting pressure, grouting flow rate, and mean of the grouting flow rate for the underground grouting components in the coal mine, based on the calculation methods of the mode and geometric mean. Step 3: Compare the mode of the grouting water-cement ratio of the underground grouting component with the grouting water-cement ratio threshold. If it is less than the threshold, the mode is the optimal grouting water-cement ratio; if it is greater than the threshold, the average grouting water-cement ratio is the optimal grouting water-cement ratio. Compare the mode of the grouting pressure of the underground grouting component with the grouting pressure threshold. If it is less than the threshold, the mode is the optimal grouting pressure; if it is greater than the threshold, the average grouting pressure is the optimal grouting pressure. Compare the mode of the grouting flow rate of the underground grouting component with the grouting flow rate threshold. If it is less than the threshold, the mode is the optimal grouting flow rate; if it is greater than the threshold, the average grouting flow rate is the optimal grouting flow rate.

Images