Intelligent sealing method and device for underground gas extraction in coal mines

Abstract

This invention discloses an intelligent sealing method and device for underground gas drainage in coal mines, relating to the field of gas drainage construction technology. The method includes: after obtaining a single-channel drainage hole under sealing length constraints, issuing a grouting command; acquiring annular characteristic information of the double-walled annulus in the single-channel drainage hole and slurry characteristic information of a predetermined grout, forming target grouting factor characteristic information; analyzing the target grouting factor characteristic information using a gas drainage database through an intelligent grouting decision model to obtain a target grouting decision; controlling a sealing robot to inject the predetermined slurry into the double-walled annulus according to the target grouting decision, and issuing a drainage preparation command; placing a predetermined screen pipe into the central channel of the single-channel drainage hole to complete the sealing of the drainage hole in the coal mine. This invention solves the problems of low intelligence and poor sealing accuracy in existing technologies for underground gas drainage in coal mines, which affect the gas drainage effect and safety.

Description

Technical Field

[0001] This invention relates to the field of gas drainage construction technology, specifically to an intelligent sealing method and device for underground gas drainage in coal mines. Background Technology

[0002] With the development of automated drilling technology and equipment in coal mines, the demand for fully automated construction of gas drainage hole drilling in coal mines is becoming increasingly urgent. Sealing methods and devices are crucial aspects of gas drainage hole drilling, affecting the realization of automated sealing and the quality of sealing. Current technologies suffer from low levels of automation and poor sealing accuracy in underground coal mine gas drainage, impacting the effectiveness and safety of gas drainage in coal mines. Summary of the Invention

[0003] This application provides an intelligent sealing method and apparatus for underground gas drainage in coal mines. It solves the problems of low intelligence and poor sealing accuracy in existing technologies for underground gas drainage in coal mines, which affect the effectiveness and safety of gas drainage. It achieves the technical effects of improving the intelligence and accuracy of sealing in underground gas drainage, enhancing the gas drainage effect, and improving the safety of gas drainage in coal mines.

[0004] In view of the above problems, this application provides an intelligent sealing method and apparatus for underground gas extraction in coal mines.

[0005] In a first aspect, this application provides an intelligent sealing method for underground gas extraction in coal mines. The method is applied to an intelligent sealing device for underground gas extraction in coal mines. The method includes: generating a sealing length constraint for the coal mine based on coal mine characteristic information obtained from the acquisition of predetermined factor characteristics; issuing a grouting command after the sealing robot is fitted with a single-channel extraction hole under the sealing length constraint; acquiring annular characteristic information of the double-walled annulus in the single-channel extraction hole and slurry characteristic information of a predetermined slurry based on the grouting command, forming target grouting factor characteristic information; analyzing the target grouting factor characteristic information by calling a gas extraction database through an intelligent grouting decision model to obtain a target grouting decision; controlling the sealing robot to inject the predetermined slurry into the double-walled annulus through the grouting port of the single-channel extraction hole according to the target grouting decision, and issuing an extraction preparation command; and placing a predetermined screen pipe into the central channel of the single-channel extraction hole based on the extraction preparation command to complete the sealing of the extraction hole in the coal mine.

[0006] Secondly, this application also provides an intelligent sealing device for underground gas extraction in coal mines, wherein the device includes: a sealing length constraint generation module, which generates a sealing length constraint for the coal mine based on coal mine characteristic information obtained from the collection of predetermined factor characteristics; an extraction hole installation module, which issues a grouting command after the sealing robot installs a single-channel extraction hole under the sealing length constraint; and a grouting feature information generation module, which obtains the annular feature information of the double-walled annulus in the single-channel extraction hole and the grout of the predetermined grout based on the grouting command. The system comprises: a liquid characteristic information component, forming target grouting factor characteristic information; a grouting decision analysis module, which analyzes the target grouting factor characteristic information by calling the gas extraction database through an intelligent grouting decision model to obtain a target grouting decision; a slurry injection module, which controls the sealing robot to inject the predetermined slurry into the double-wall annulus through the grouting port of the single-channel extraction hole according to the target grouting decision, and issues an extraction preparation command; and an extraction hole sealing module, which places a predetermined screen tube into the center channel of the single-channel extraction hole based on the extraction preparation command to complete the sealing of the extraction hole in the coal mine.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] By analyzing the characteristic information of coal mines obtained based on predetermined factor features, a sealing length constraint for the coal mine is generated. After a sealing robot installs a single-channel extraction hole under the sealing length constraint, a grouting command is issued. Based on the grouting command, the annular feature information of the double-walled annulus in the single-channel extraction hole and the slurry feature information of the predetermined grout are read to form the target grouting factor feature information. The intelligent grouting decision model calls the gas extraction database to analyze the target grouting factor feature information to obtain the target grouting decision. Based on the target grouting decision, the sealing robot is controlled to inject the predetermined slurry into the double-walled annulus through the grouting port of the single-channel extraction hole, and a extraction preparation command is issued. Based on the extraction preparation command, the predetermined screen pipe is placed in the center channel of the single-channel extraction hole, completing the sealing of the coal mine extraction hole. This achieves the technical effects of improving the intelligence and accuracy of sealing in underground coal mine gas extraction, enhancing the gas extraction effect, and improving the safety of coal mine gas extraction.

[0009] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention will be briefly described below. Obviously, the drawings described below only relate to some embodiments of the present invention, and are not intended to limit the present invention.

[0011] Figure 1 This is a schematic diagram of the process for an intelligent sealing method for underground gas extraction in coal mines, as described in this application.

[0012] Figure 2 This is a schematic diagram of the structure of an intelligent sealing device for underground gas extraction in coal mines, as described in this application. Detailed Implementation

[0013] This application provides an intelligent sealing method and apparatus for underground gas drainage in coal mines. It solves the problems of low intelligence and poor sealing accuracy in existing technologies for underground gas drainage in coal mines, which affect the effectiveness and safety of gas drainage. It achieves the technical effect of improving the intelligence and accuracy of sealing in underground gas drainage, thereby enhancing the gas drainage effect and safety.

[0014] Example 1

[0015] Please see the appendix Figure 1 This application provides an intelligent sealing method for underground gas extraction in coal mines. The method is applied to an intelligent sealing device for underground gas extraction in coal mines, the device being communicatively connected to a sealing robot. The method specifically includes the following steps:

[0016] The sealing length constraint of the coal mine is generated based on the coal mine characteristic information obtained from the collection of predetermined factor characteristics.

[0017] Information is collected from coal mines based on predetermined factors to obtain characteristic information about the mines. This characteristic information is then used to analyze the sealing length constraints of the coal mines. The predetermined factors include multiple sealing length constraint-related indicators. These indicators include the degree of development of surrounding rock fissures, orifice negative pressure, sealing material, and extraction concentration. The coal mine characteristic information includes information on the degree of development of surrounding rock fissures, orifice negative pressure, sealing material, and extraction concentration corresponding to the predetermined factors. The sealing length constraint is the optimal sealing length for the coal mine.

[0018] For example, when analyzing the sealing length constraint of a coal mine based on its characteristic information, historical data is collected according to the coal mine's characteristic information to obtain multiple sets of sealing length analysis data. Each set of sealing length analysis data includes historical coal mine characteristic information and historical sealing length constraints. Then, a fully connected neural network is used to continuously train and learn from these multiple sets of sealing length analysis data until convergence, thus obtaining a sealing length constraint analysis model. The coal mine characteristic information is input into the sealing length constraint analysis model to obtain the sealing length constraint. The fully connected neural network is a relatively simple artificial neural network structure. It is a feedforward neural network consisting of an input layer, hidden layers, and an output layer. Furthermore, the hidden layer can contain multiple neurons. The sealing length constraint analysis model includes an input layer, a hidden layer, and an output layer.

[0019] After the sealing robot obtains a single-channel extraction hole under the constraint of the sealing length, it issues a grouting command.

[0020] The sealing robot, under the constraint of the sealing length, is used to install a single-channel extraction hole, including:

[0021] The first length of the lower pouch segment, the second length of the predetermined middle segment, and the third length of the upper pouch segment are read sequentially.

[0022] By combining the sealing length constraint with the first length, the second length, and the third length, the number of intermediate short sections of the predetermined intermediate short section is obtained;

[0023] The sealing robot sequentially installs the lower bag section, the predetermined number of intermediate sections, and the upper bag section to obtain the single-channel extraction hole.

[0024] Based on the grouting command, the annular feature information of the double-walled annulus in the single-channel extraction hole and the slurry feature information of the predetermined slurry are obtained to form the target grouting factor feature information;

[0025] A sealing robot is an automated sealing robot used for underground gas extraction in coal mines. The sealing robot includes a sealing device. The sealing device includes a lower bag section, a predetermined intermediate section, and an upper bag section. Then, the first length of the lower bag section, the second length of the predetermined intermediate section, and the third length of the upper bag section are read. The first length includes the length parameter of the lower bag section. The second length is the length parameter of the predetermined intermediate section. The third length is the length parameter of the upper bag section. Then, the sealing length constraint, the first length, the second length, and the third length are input into the intermediate section analysis formula to obtain the number of intermediate sections of the predetermined intermediate section. The intermediate section analysis formula is:

[0026]

[0027] Where N represents the number of intermediate subsections. If the number of intermediate subsections is an integer, it is directly output as the number of intermediate subsections. If the number of intermediate subsections is not an integer, it is rounded up to obtain the number of intermediate subsections. Rounding up means that the integer that is greater than and closest to the number of intermediate subsections is output as the number of intermediate subsections. For example, when the number of intermediate subsections is 2.2, 3 is output as the number of intermediate subsections. Y represents the sealing length constraint. X1 represents the first length. X2 represents the second length. X3 represents the third length.

[0028] Furthermore, the sealing robot sequentially installs the lower bag section, a predetermined number of intermediate sections, and the upper bag section to obtain a single-channel extraction hole. The total length of the lower bag section, the predetermined number of intermediate sections, and the upper bag section is greater than or equal to the sealing length constraint. The single-channel extraction hole consists of the lower bag section, the predetermined number of intermediate sections, and the upper bag section. The single-channel extraction hole has a concentric double-walled structure, which includes a double-walled annulus and a central channel. The double-walled annulus serves as the grouting channel, and the central channel serves as the screen tube lowering channel and the gas extraction channel. Subsequently, after obtaining the single-channel extraction hole, a grouting command is generated. Based on the grouting command, the annulus characteristic information of the double-walled annulus and the slurry characteristic information of the predetermined slurry are read, and the annulus characteristic information and slurry characteristic information are output as target grouting factor characteristic information. The grouting command is used to indicate that a predetermined grout needs to be injected into the double-wall annulus of a single-channel extraction borehole after its installation has been completed. The predetermined grout is the grout corresponding to the double-wall annulus of the single-channel extraction borehole. Target grouting factor characteristic information includes annulus characteristic information and grout characteristic information. Annulus characteristic information includes the spatial dimensions of the double-wall annulus of the single-channel extraction borehole. Grout characteristic information includes the composition of the predetermined grout, as well as grout performance information such as leveling properties and viscosity.

[0029] The target grouting decision is obtained by analyzing the characteristic information of the target grouting factors through the gas extraction database by calling the intelligent grouting decision model.

[0030] Specifically, the target grouting decision is obtained by analyzing the target grouting factor characteristic information through the gas extraction database using an intelligent grouting decision model, including:

[0031] The first gas extraction record in the gas extraction database is obtained by screening through the grouting screening layer in the intelligent grouting decision model. The first gas extraction record includes the first grouting control parameter, the first gas extraction flow mode, and the first coal mine residual gas content.

[0032] The first gas extraction record in the gas extraction database is obtained by screening through the grouting screening layer in the intelligent grouting decision model, including:

[0033] The grouting screening layer contains a predetermined labeling scheme;

[0034] Obtain the first grouting factor characteristic information from the first gas extraction record;

[0035] According to the predetermined labeling scheme, the first grouting factor feature information and the target grouting factor feature information are labeled sequentially to obtain the first labeling information and the target labeling information, respectively.

[0036] A similarity analysis is performed on the first marker information and the target marker information to obtain a first similarity index;

[0037] When the first similarity index reaches the predetermined similarity index threshold, the first gas extraction record is screened and extracted.

[0038] The gas extraction database is retrieved, containing multiple gas extraction records. Each record includes historical grouting control parameters, the mode of historical gas extraction flow rate, and the historical residual gas content in the coal mine. Historical grouting control parameters include historical grouting speed, historical grouting pressure, historical grouting volume, and historical grouting location. Furthermore, each gas extraction record has corresponding historical grouting factor characteristic information. Next, multiple gas extraction records in the database are randomly extracted to obtain a first candidate gas extraction record, and the historical grouting factor characteristic information corresponding to this first candidate record is set as the first candidate grouting factor characteristic information. The first candidate gas extraction record can be any random gas extraction record in the database. Furthermore, the intelligent grouting decision model includes a grouting screening layer and a grouting optimization layer. The grouting screening layer in the intelligent grouting decision model is activated, and this layer includes a predetermined labeling scheme and a predetermined similarity index threshold. According to a predetermined labeling scheme, the first candidate grouting factor feature information and the target grouting factor feature information are sequentially labeled to obtain first labeling information and target labeling information. The predetermined labeling scheme includes pre-set labels corresponding to the candidate grouting factor feature information and corresponding labels for the target grouting factor feature information. The first labeling information is the first candidate grouting factor feature information that has been labeled. The target grouting factor feature information is the target grouting factor feature information that has been labeled.

[0039] Further, a similarity analysis is performed on the first marker information and the target marker information to obtain a first similarity index, and it is determined whether the first similarity index is greater than or equal to a predetermined similarity index threshold. If the first similarity index is greater than or equal to the predetermined similarity index threshold, then the first similarity index has reached the predetermined similarity index threshold, and the first candidate gas extraction record is output as the first gas extraction record. The first similarity index is data information used to characterize the similarity between the first marker information and the target marker information. The higher the similarity between the first marker information and the target marker information, the larger the corresponding first similarity index. The predetermined similarity index threshold is preset and determined by the aforementioned intelligent sealing device for underground gas extraction in coal mines.

[0040] If the first similarity index is less than the predetermined similarity index threshold, then the first candidate gas extraction record is eliminated, and the gas extraction database is further filtered according to the predetermined similarity index threshold until the first gas extraction record is obtained.

[0041] The first extraction index is obtained by calling a predetermined fitness function to analyze and calculate the mode of the first gas extraction flow rate and the residual gas content in the first coal mine.

[0042] The expression for the predetermined fitness function is as follows:

[0043]

[0044] Where I(x) represents the first extraction index of the first gas extraction record x, flow(x) represents the mode of the first gas extraction flow, rest(x) represents the residual gas content of the first coal mine, α and β are the first coefficient and the second coefficient, respectively, and α+β=1.

[0045] When the first extraction index reaches the predetermined index threshold, the grouting optimization layer in the intelligent grouting decision model uses the first grouting control parameter as the target grouting decision.

[0046] The first gas extraction record includes the first grouting control parameters, the mode of the first gas extraction flow rate, and the content of residual gas in the first coal mine. The grouting optimization layer includes a predetermined fitness function and a predetermined index threshold. The predetermined index threshold includes an extraction index threshold pre-set and determined by the intelligent sealing device for underground gas extraction in coal mines. The mode of the first gas extraction flow rate and the content of residual gas in the first coal mine from the first gas extraction record are input into the predetermined fitness function to obtain the first extraction index. The expression of the predetermined fitness function is:

[0047]

[0048] Wherein, I(x) represents the first extraction index corresponding to the first gas extraction record x, flow(x) represents the mode of the first gas extraction flow, rest(x) represents the residual gas content of the first coal mine, α and β are the first coefficient and the second coefficient, respectively, and the first coefficient and the second coefficient are weighted coefficients pre-set and determined by the intelligent sealing device for underground gas extraction in coal mines, and α+β=1.

[0049] Further, determine whether the first extraction index is greater than or equal to the predetermined index threshold. If the first extraction index is greater than or equal to the predetermined index threshold, then the first extraction index has reached the predetermined index threshold, and the first grouting control parameter in the first gas extraction record is output as the target grouting decision.

[0050] By using an intelligent grouting decision model to perform optimization analysis on the gas extraction database, suitable target grouting decisions are obtained, thereby improving the sealing accuracy of underground gas extraction in coal mines.

[0051] When the first extraction index does not reach the predetermined index threshold, the grouting optimization layer activates the grouting screening layer to extract the second gas extraction record.

[0052] Obtain the second extraction index from the second gas extraction record;

[0053] When the second extraction index reaches the predetermined index threshold, the grouting optimization layer uses the second grouting control parameter in the second gas extraction record as the target grouting decision.

[0054] If the first extraction index is less than the predetermined index threshold, then the first extraction index has not reached the predetermined index threshold, and the grouting optimization layer activates the grouting screening layer to extract the second gas extraction record. The screening method for the second gas extraction record is the same as that for the first gas extraction record, and will not be repeated here. Then, according to the predetermined fitness function, the second extraction index corresponding to the second gas extraction record is calculated, and it is determined whether the second extraction index is greater than or equal to the predetermined index threshold. If the second extraction index is greater than or equal to the predetermined index threshold, then the second extraction index has reached the predetermined index threshold, and the second grouting control parameter in the second gas extraction record is output as the target grouting decision. If the second extraction index is less than the predetermined index threshold, then the second extraction index has not reached the predetermined index threshold, and the gas extraction database continues to be optimized according to the intelligent grouting decision model until the target grouting decision is obtained.

[0055] Based on the target grouting decision, the sealing robot is controlled to inject the predetermined grout into the double-walled annulus through the grouting port of the single-channel extraction hole, and an extraction preparation command is issued.

[0056] By placing a predetermined screen tube into the center channel of the single-channel extraction hole based on the extraction preparation command, the extraction hole of the coal mine is sealed.

[0057] After the predetermined screen tube is placed into the center channel of the single-channel extraction hole based on the extraction preparation command, the sealing robot is controlled to place the predetermined porous medium into the predetermined position of the center channel.

[0058] According to the target grouting decision control, the sealing robot injects the predetermined grout into the double-wall annulus through the grouting port of the single-channel extraction hole, issuing an extraction preparation command. Based on the extraction preparation command, a predetermined screen tube is placed in the central channel of the single-channel extraction hole. Then, after placing the predetermined screen tube in the central channel of the single-channel extraction hole, the sealing robot places a predetermined porous medium at a predetermined position in the central channel, completing the sealing of the extraction hole in the coal mine. The extraction preparation command indicates that the predetermined grout has been injected into the double-wall annulus and the screen tube needs to be placed. The predetermined screen tube is the matching screen tube corresponding to the central channel of the single-channel extraction hole. The predetermined porous medium is a porous permeable medium used to support the hole wall of the single-channel extraction hole, increase the extraction channel, and improve extraction efficiency. The predetermined position is the placement location of the predetermined porous medium within the central channel.

[0059] In summary, the intelligent sealing method for underground gas extraction in coal mines provided in this application has the following technical advantages:

[0060] By analyzing the characteristic information of coal mines obtained based on predetermined factor features, a sealing length constraint for the coal mine is generated. After a sealing robot installs a single-channel extraction hole under the sealing length constraint, a grouting command is issued. Based on the grouting command, the annular feature information of the double-walled annulus in the single-channel extraction hole and the slurry feature information of the predetermined grout are read to form the target grouting factor feature information. The intelligent grouting decision model calls the gas extraction database to analyze the target grouting factor feature information to obtain the target grouting decision. Based on the target grouting decision, the sealing robot is controlled to inject the predetermined slurry into the double-walled annulus through the grouting port of the single-channel extraction hole, and a extraction preparation command is issued. Based on the extraction preparation command, the predetermined screen pipe is placed in the center channel of the single-channel extraction hole, completing the sealing of the coal mine extraction hole. This achieves the technical effects of improving the intelligence and accuracy of sealing in underground coal mine gas extraction, enhancing the gas extraction effect, and improving the safety of coal mine gas extraction.

[0061] Example 2

[0062] Based on the same inventive concept as the intelligent sealing method for underground gas extraction in coal mines described in the foregoing embodiments, this invention also provides an intelligent sealing device for underground gas extraction in coal mines. Please refer to the appendix. Figure 2 The device includes:

[0063] A sealing length constraint generation module is used to generate the sealing length constraint of the coal mine based on the coal mine feature information obtained from the collection of predetermined factor features.

[0064] The extraction hole mounting module is used to issue a grouting command after the sealing robot installs a single-channel extraction hole under the constraint of the sealing length.

[0065] The grouting feature information generation module is used to obtain the annular feature information of the double-walled annulus in the single-channel extraction hole and the slurry feature information of the predetermined slurry based on the grouting command, and form the target grouting factor feature information.

[0066] The grouting decision analysis module is used to analyze the characteristic information of the target grouting factors by calling the gas extraction database through the intelligent grouting decision model, so as to obtain the target grouting decision.

[0067] The slurry injection module is used to control the sealing robot to inject the predetermined slurry into the double-walled annulus through the slurry port of the single-channel extraction hole according to the target grouting decision, and to issue an extraction preparation command.

[0068] A sealing module for extraction holes is used to seal the extraction holes of the coal mine by placing a predetermined screen tube into the center channel of the single-channel extraction hole based on the extraction preparation command.

[0069] Furthermore, the extraction hole mounting module is also used for:

[0070] The first length of the lower pouch segment, the second length of the predetermined middle segment, and the third length of the upper pouch segment are read sequentially.

[0071] By combining the sealing length constraint with the first length, the second length, and the third length, the number of intermediate short sections of the predetermined intermediate short section is obtained;

[0072] The sealing robot sequentially installs the lower bag section, the predetermined number of intermediate sections, and the upper bag section to obtain the single-channel extraction hole.

[0073] Furthermore, the grouting decision analysis module is also used for:

[0074] The first gas extraction record in the gas extraction database is obtained by screening through the grouting screening layer in the intelligent grouting decision model. The first gas extraction record includes the first grouting control parameter, the first gas extraction flow mode, and the first coal mine residual gas content.

[0075] The first extraction index is obtained by calling a predetermined fitness function to analyze and calculate the mode of the first gas extraction flow rate and the residual gas content in the first coal mine.

[0076] When the first extraction index reaches the predetermined index threshold, the grouting optimization layer in the intelligent grouting decision model uses the first grouting control parameter as the target grouting decision.

[0077] Furthermore, the grouting decision analysis module is also used for:

[0078] The grouting screening layer contains a predetermined labeling scheme;

[0079] Obtain the first grouting factor characteristic information from the first gas extraction record;

[0080] According to the predetermined labeling scheme, the first grouting factor feature information and the target grouting factor feature information are labeled sequentially to obtain the first labeling information and the target labeling information, respectively.

[0081] A similarity analysis is performed on the first marker information and the target marker information to obtain a first similarity index;

[0082] When the first similarity index reaches the predetermined similarity index threshold, the first gas extraction record is screened and extracted.

[0083] The expression for the predetermined fitness function is as follows:

[0084]

[0085] Where I(x) represents the first extraction index of the first gas extraction record x, flow(x) represents the mode of the first gas extraction flow, rest(x) represents the residual gas content of the first coal mine, α and β are the first coefficient and the second coefficient, respectively, and α+β=1.

[0086] Furthermore, the grouting decision analysis module is also used for:

[0087] When the first extraction index does not reach the predetermined index threshold, the grouting optimization layer activates the grouting screening layer to extract the second gas extraction record.

[0088] Obtain the second extraction index from the second gas extraction record;

[0089] When the second extraction index reaches the predetermined index threshold, the grouting optimization layer uses the second grouting control parameter in the second gas extraction record as the target grouting decision.

[0090] Furthermore, the extraction hole sealing module is also used for:

[0091] After the predetermined screen tube is placed into the center channel of the single-channel extraction hole based on the extraction preparation command, the sealing robot is controlled to place the predetermined porous medium into the predetermined position of the center channel.

[0092] The intelligent sealing device for underground gas extraction in coal mines provided in this embodiment of the invention can execute the intelligent sealing method for underground gas extraction in coal mines provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0093] The modules included are divided according to functional logic, but are not limited to the above division, as long as they can achieve the corresponding functions; in addition, the specific names of each functional module are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0094] This application provides an intelligent sealing method for underground gas extraction in coal mines. The method is applied to an intelligent sealing device for underground gas extraction in coal mines. The method includes: analyzing the characteristic information of the coal mine obtained based on predetermined factor characteristics to generate a sealing length constraint; having a sealing robot install a single-channel extraction hole under the sealing length constraint and then issuing a grouting command; according to the grouting command, reading the annular characteristic information of the double-walled annulus in the single-channel extraction hole and the slurry characteristic information of the predetermined slurry to form target grouting factor characteristic information; analyzing the target grouting factor characteristic information by calling the gas extraction database through an intelligent grouting decision model to obtain a target grouting decision; controlling the sealing robot to inject the predetermined slurry into the double-walled annulus through the grouting port of the single-channel extraction hole according to the target grouting decision, and issuing an extraction preparation command; and placing a predetermined screen pipe into the central channel of the single-channel extraction hole according to the extraction preparation command to complete the sealing of the extraction hole in the coal mine. This invention solves the problems of low intelligence and poor sealing accuracy in existing coal mine underground gas drainage technologies, which affect the gas drainage effect and safety. It achieves the technical effect of improving the intelligence and accuracy of sealing in underground coal mine gas drainage, thereby enhancing the gas drainage effect and safety.

[0095] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An intelligent sealing method for underground gas extraction in coal mines, characterized in that, The method is applied to an intelligent sealing device for underground gas extraction in coal mines. The device is communicatively connected to a sealing robot. The method includes: The sealing length constraint of the coal mine is generated based on the coal mine characteristic information obtained from the collection of predetermined factor characteristics. After the sealing robot obtains a single-channel extraction hole under the constraint of the sealing length, it issues a grouting command. Based on the grouting command, the annular feature information of the double-walled annulus in the single-channel extraction hole and the slurry feature information of the predetermined slurry are obtained to form the target grouting factor feature information; The target grouting decision is obtained by analyzing the characteristic information of the target grouting factors through the gas extraction database by calling the intelligent grouting decision model; Based on the target grouting decision, the sealing robot is controlled to inject the predetermined grout into the double-walled annulus through the grouting port of the single-channel extraction hole, and an extraction preparation command is issued. By placing a predetermined screen tube into the center channel of the single-channel extraction hole based on the extraction preparation command, the extraction hole of the coal mine is sealed.

2. The method as described in claim 1, characterized in that, The sealing robot, under the constraint of the sealing length, is used to install a single-channel extraction hole, including: The first length of the lower pouch segment, the second length of the predetermined middle segment, and the third length of the upper pouch segment are read sequentially. By combining the sealing length constraint with the first length, the second length, and the third length, the number of intermediate short sections of the predetermined intermediate short section is obtained; The sealing robot sequentially installs the lower bag section, the predetermined number of intermediate sections, and the upper bag section to obtain the single-channel extraction hole.

3. The method as described in claim 1, characterized in that, The target grouting decision is obtained by analyzing the target grouting factor characteristic information through the gas extraction database using an intelligent grouting decision model, including: The first gas extraction record in the gas extraction database is obtained by screening through the grouting screening layer in the intelligent grouting decision model. The first gas extraction record includes the first grouting control parameter, the first gas extraction flow mode, and the first coal mine residual gas content. The first extraction index is obtained by analyzing and calculating the mode of the first gas extraction flow rate and the residual gas content in the first coal mine by calling a predetermined fitness function. When the first extraction index reaches the predetermined index threshold, the grouting optimization layer in the intelligent grouting decision model uses the first grouting control parameter as the target grouting decision.

4. The method as described in claim 3, characterized in that, The first gas extraction record in the gas extraction database is obtained by screening through the grouting screening layer in the intelligent grouting decision model, including: The grouting screening layer contains a predetermined labeling scheme; Obtain the first grouting factor characteristic information from the first gas extraction record; According to the predetermined labeling scheme, the first grouting factor feature information and the target grouting factor feature information are labeled sequentially to obtain the first labeling information and the target labeling information, respectively. A similarity analysis is performed on the first marker information and the target marker information to obtain a first similarity index; When the first similarity index reaches the predetermined similarity index threshold, the first gas extraction record is screened and extracted.

5. The method as described in claim 3, characterized in that, The expression for the predetermined fitness function is as follows: Where I(x) represents the first extraction index of the first gas extraction record x, flow(x) represents the mode of the first gas extraction flow, rest(x) represents the residual gas content of the first coal mine, α and β are the first coefficient and the second coefficient, respectively, and α+β=1.

6. The method as described in claim 5, characterized in that, The system calls a predetermined fitness function to analyze and calculate the mode of the first gas extraction flow rate and the residual gas content in the first coal mine to obtain the first extraction index. This process then includes: When the first extraction index does not reach the predetermined index threshold, the grouting optimization layer activates the grouting screening layer to extract the second gas extraction record. Obtain the second extraction index from the second gas extraction record; When the second extraction index reaches the predetermined index threshold, the grouting optimization layer uses the second grouting control parameter in the second gas extraction record as the target grouting decision.

7. The method as described in claim 1, characterized in that, After the predetermined screen tube is placed into the center channel of the single-channel extraction hole based on the extraction preparation command, the sealing robot is controlled to place the predetermined porous medium into the predetermined position of the center channel.

8. An intelligent sealing device for underground gas extraction in coal mines, characterized in that, The apparatus is used to perform the method according to any one of claims 1 to 7, the apparatus is communicatively connected to a sealing robot, and the apparatus comprises: A sealing length constraint generation module is used to generate the sealing length constraint of the coal mine based on the coal mine feature information obtained from the collection of predetermined factor features. The extraction hole mounting module is used to issue a grouting command after the sealing robot installs a single-channel extraction hole under the constraint of the sealing length. The grouting feature information generation module is used to obtain the annular feature information of the double-walled annulus in the single-channel extraction hole and the slurry feature information of the predetermined slurry based on the grouting command, and form the target grouting factor feature information. The grouting decision analysis module is used to analyze the characteristic information of the target grouting factors by calling the gas extraction database through the intelligent grouting decision model, so as to obtain the target grouting decision. The slurry injection module is used to control the sealing robot to inject the predetermined slurry into the double-walled annulus through the slurry port of the single-channel extraction hole according to the target grouting decision, and to issue an extraction preparation command. A sealing module for extraction holes is used to seal the extraction holes of the coal mine by placing a predetermined screen tube into the center channel of the single-channel extraction hole based on the extraction preparation command.

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