Microbial mineralization corrosion prevention method and system for deep well mine anchor protection material

Abstract

The invention discloses a microorganism mineralization corrosion prevention method and system for a deep well mine anchor protection material, and relates to the technical field of anchor protection material corrosion prevention, and the method comprises the following steps: S1, separating, screening and identifying a natural mineralization microorganism strain from a mine deep well or a similar extreme environment; s2, inserting a silicic acid transporter gene and a carbonic acid transporter gene into the naturally mineralized microbial strain to obtain a high-performance genetic engineering strain; s3, mixing the high-performance genetic engineering strain with a nutrient solution, applying the mixture to the surfaces of an underground anchoring material and surrounding rock, inducing microbial metabolism to generate mineralized precipitates, and forming a compact protective film on the surface of the anchoring material; and S4, deploying an intelligent detection system to monitor microorganism living environment parameters and the corrosion state of the anchor protection material in real time. The problems that a traditional anti-corrosion means is short in service life, poor in adaptability, incapable of being regulated and controlled in real time and the like in the extreme environment of the deep well are solved, the service life of an anchor protection material is remarkably prolonged, and mine supporting safety is improved.

Description

Technical Field

[0001] This invention relates to the field of anti-corrosion technology for anchoring materials, specifically to a microbial mineralization anti-corrosion method and system for anchoring materials in deep mines. Background Technology

[0002] Anchoring technology is a globally recognized safe and efficient support method for deep resource mining. However, recent mine accident statistics show that anchoring systems commonly experience premature failure. Research has found that many support system failures are caused by severe corrosion of the anchoring materials. Especially in China's deep mines, which often operate at depths below 1,000 meters, the extreme corrosive environment of high stress, high temperature, high humidity, and high ion concentration renders existing anti-corrosion methods, such as grouting, galvanizing, resin coatings, and corrosion inhibitor coatings, ineffective in preventing corrosion. Anchoring materials fail prematurely due to corrosion, typically with a lifespan of only 3-5 years, failing to meet the actual mining needs.

[0003] Currently, traditional anti-corrosion technologies generally suffer from problems such as short lifespan, complex construction, poor environmental adaptability, and heavy metal pollution, leading to anchor bolt corrosion failure and premature loss of load-bearing capacity of the support system, which seriously threatens mine safety production. Summary of the Invention

[0004] The purpose of this invention is to provide a microbial mineralization and corrosion prevention method and system for anchoring materials in deep mines, so as to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a microbial mineralization and corrosion prevention method for anchoring materials in deep mines, comprising the following steps: S1: Isolate, screen and identify natural mineralizing microbial strains with characteristics of high temperature resistance, high salt resistance, acid resistance, oligotrophic resistance and high stress resistance from deep mines or similar extreme environments; S2: Based on gene editing technology, silicate transporter genes and carbonate transporter genes are inserted into the natural mineralizing microbial strain to enhance its urease activity, biofilm formation ability and mineral precipitation efficiency, thereby obtaining a high-performance genetically engineered strain. S3: The high-performance genetically engineered strain is mixed with nutrient solution and applied to the surface of the downhole anchoring material and surrounding rock. Under extreme conditions, microbial metabolism is induced to produce mineralized precipitates, forming a dense protective film on the surface of the anchoring material to isolate corrosive media. S4: The intelligent detection system deployed underground monitors the parameters of the microbial living environment and the corrosion status of the anchoring material in real time, and dynamically adjusts the amount, frequency and location of nutrient solution addition based on the monitoring data to maintain the continuous activity of microorganisms and the protective effect.

[0006] Furthermore, in S1, the similar extreme environments include geothermal areas, salt lakes, and acidic mine water environments; the mineralizing microorganisms include, but are not limited to, Bacillus pasteurellii and Bacillus microorganisms with high urease activity.

[0007] Furthermore, in S2, the gene editing technology employs CRISPR-Cas9 technology to target and edit gene clusters related to urease expression, carbonic anhydrase activity, and extracellular polymer secretion.

[0008] Furthermore, in S3, the nutrient solution contains urea, a calcium source, and essential trace elements for maintaining microbial activity; the mineralized precipitate is mainly calcium carbonate, calcium phosphate, or a mixture thereof.

[0009] Furthermore, in S4, the intelligent detection system includes: An environmental sensor array is used to collect real-time data on temperature, humidity, pH, specific ion concentrations, and anchor bolt stress. The data acquisition and transmission unit is used to collect sensor data and upload the sensor data to the ground server; The data analysis and processing platform has built-in models based on Fick's second law diffusion coefficient and ionization density, as well as a residual strength model for corrosive anchoring materials, to process sensor data, assess the corrosive environment, and predict the residual strength of anchoring materials. The system provides feedback to the implementing agency, which automatically adjusts the nutrient solution dosage, frequency, and location based on platform instructions.

[0010] Furthermore, in the data analysis and processing platform, the model based on Fick's second law diffusion coefficient and ionization density is as follows: Where i(t) is the corrosion current density of the anchoring material at time t; C s denoted as , where is the chloride ion concentration on the surface of the anchoring material; D is the chloride ion diffusion coefficient on the surface of the anchoring material; T is the surface temperature of the anchor cable under service conditions; and R is the resistivity of the surrounding rock in contact with the anchoring material.

[0011] Furthermore, in the data analysis and processing platform, the residual strength model of the corrosion anchoring material is as follows: Wherein, F is the existing maximum bearing capacity of the anchoring material; σ is the ultimate tensile strength of the anchoring material; r0 is the initial radius of the anchoring material; M is the relative atomic mass of the anchoring material; i(t) is the corrosion current density of the anchoring material as a function of time t; n is the number of lost electrons of the anchoring material; and ρ is the density of the anchoring material.

[0012] A system for implementing the above method includes: A strain preparation module for culturing and storing gene-edited, enhanced, high-performance mineralizing microbial agents; The nutrient solution supply module is used to store and transport solutions containing urea, calcium source and nutrients; The intelligent monitoring module includes an array of environmental sensors and a data acquisition unit deployed at key nodes of the anchoring material to acquire environmental and anchoring material status data. The central processing module receives monitoring data, calculates the corrosion rate and remaining strength of the anchoring material using a built-in model, and generates control commands. The feedback execution module receives instructions from the central processing module and controls the valves and pumps of the nutrient solution supply module to achieve precise and automatic addition of nutrient solution.

[0013] Furthermore, the model of the central processing module can dynamically predict the diffusion rate and concentration distribution of the corrosive medium based on real-time monitored ion concentration data and Fick's second law.

[0014] Furthermore, the environmental sensor array includes fiber Bragg grating sensors for simultaneously monitoring stress and temperature changes in the anchoring material.

[0015] The technical effects and advantages provided by the present invention in the above technical solution are as follows: 1. By screening natural mineralizing microorganisms resistant to extreme conditions from extreme environments and enhancing their mineralization ability using CRISPR-Cas9 gene editing technology, microorganisms and nutrient solutions are applied to the surface of anchoring materials to induce the formation of a dense mineral protective film. An intelligent detection system is deployed to monitor environmental parameters and corrosion status in real time, predict corrosion development based on models, and dynamically adjust the nutrient supply of microorganisms to maintain the protective effect. This can effectively extend the service life of anchoring materials, reduce maintenance costs, and improve the safety of mine support, which is of great significance for maintaining the safety of underground mine roadway support. 2. By deploying an intelligent detection system, the system monitors and provides feedback on the microbial living environment and the corrosion status of the anchoring materials in real time. It can predict the remaining lifespan of the anchoring materials and provide early warning of potential corrosion risks through model prediction, thus providing sufficient time for maintenance. 3. The intelligent detection system and its implementation method form a closed loop, realizing full-process automation from data collection to precise execution, improving overall efficiency and effectiveness, promoting the development of mine support systems towards intelligence and automation, and enhancing the level of mine safety management. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0017] Figure 1 This is a schematic diagram of the process of the present invention; Figure 2 This is a schematic diagram of the intelligent detection system of the present invention; Figure 3 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0018] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0019] This invention provides, for example Figure 1 The microbial mineralization and corrosion prevention method for anchoring materials in deep mines, as shown, includes the following steps: S1: Isolate, screen and identify natural mineralizing microbial strains with characteristics of high temperature resistance, high salt resistance, acid resistance, oligotrophic resistance and high stress resistance from deep mines or similar extreme environments; Specifically, the similar extreme environments include geothermal areas, salt lakes, and acidic mine water environments; the mineralizing microorganisms include, but are not limited to, Pasteurella multocida and Bacillus species with high urease activity.

[0020] S2: Based on gene editing technology, silicate transporter genes and carbonate transporter genes are inserted into the natural mineralizing microbial strain to enhance its urease activity, biofilm formation ability and mineral precipitation efficiency, thereby obtaining a high-performance genetically engineered strain. Specifically, the gene editing technology uses CRISPR-Cas9 technology to target and edit gene clusters related to urease expression, carbonic anhydrase activity, and extracellular polymer secretion.

[0021] S3: The high-performance genetically engineered strain is mixed with nutrient solution and applied to the surface of the downhole anchoring material and surrounding rock. Under extreme conditions, microbial metabolism is induced to produce mineralized precipitates, forming a dense protective film on the surface of the anchoring material to isolate corrosive media. Specifically, the nutrient solution contains urea, calcium source, and trace elements necessary for maintaining microbial activity; the mineralized precipitate is mainly calcium carbonate, calcium phosphate, or a mixture thereof.

[0022] S4: The intelligent detection system deployed underground monitors the parameters of the microbial living environment and the corrosion status of the anchoring material in real time, and dynamically adjusts the amount, frequency and location of nutrient solution addition based on the monitoring data to maintain the continuous activity of microorganisms and the protective effect.

[0023] By employing novel microbial protection methods, the corrosion problem of anchoring materials can be effectively solved, providing support for the safe, efficient, and rational support design of anchoring materials used in harsh corrosive environments. This is of great significance for maintaining the safety of underground mine roadway support.

[0024] like Figure 2 As shown, in step S4 of the above method, the intelligent detection system includes: An environmental sensor array is used to collect real-time data on temperature, humidity, pH, specific ion concentrations, and anchor bolt stress. The data acquisition and transmission unit is used to collect sensor data and upload the sensor data to the ground server; The data analysis and processing platform has built-in models based on Fick's second law diffusion coefficient and ionization density, as well as a residual strength model for corrosive anchoring materials, to process sensor data, assess the corrosive environment, and predict the residual strength of anchoring materials. The system provides feedback to the implementing agency, which automatically adjusts the nutrient solution dosage, frequency, and location based on platform instructions.

[0025] Specifically, in the data analysis and processing platform, the model based on Fick's second law diffusion coefficient and ionization density is as follows: Where i(t) is the corrosion current density of the anchoring material at time t; C s denoted as , where is the chloride ion concentration on the surface of the anchoring material; D is the chloride ion diffusion coefficient on the surface of the anchoring material; T is the surface temperature of the anchor cable under service conditions; and R is the resistivity of the surrounding rock in contact with the anchoring material.

[0026] Specifically, in the data analysis and processing platform, the residual strength model of the corrosion anchoring material is as follows: Wherein, F is the existing maximum bearing capacity of the anchoring material; σ is the ultimate tensile strength of the anchoring material; r0 is the initial radius of the anchoring material; M is the relative atomic mass of the anchoring material; i(t) is the corrosion current density of the anchoring material as a function of time t; n is the number of lost electrons of the anchoring material; and ρ is the density of the anchoring material.

[0027] The intelligent detection system provides accurate corrosion rate data, monitors the corrosion status of anchoring materials in real time, detects corrosion problems in a timely manner, and provides early warning of potential corrosion risks through model prediction, thus providing sufficient time for maintenance.

[0028] like Figure 3 As shown, a system for implementing the above method includes: A strain preparation module for culturing and storing gene-edited, enhanced, high-performance mineralizing microbial agents; The nutrient solution supply module is used to store and transport solutions containing urea, calcium source and nutrients; The intelligent monitoring module includes an array of environmental sensors and a data acquisition unit deployed at key nodes of the anchoring material to acquire environmental and anchoring material status data. The central processing module receives monitoring data, calculates the corrosion rate and remaining strength of the anchoring material using a built-in model, and generates control commands. The feedback execution module receives instructions from the central processing module and controls the valves and pumps of the nutrient solution supply module to achieve precise and automatic addition of nutrient solution.

[0029] Specifically, the model of the central processing module can dynamically predict the diffusion rate and concentration distribution of the corrosive medium based on real-time monitored ion concentration data and Fick's second law.

[0030] Specifically, the environmental sensor array includes fiber optic grating sensors for simultaneously monitoring stress and temperature changes in the anchoring material.

[0031] This system precisely controls the dosage and location of the bacterial solution based on instructions from the intelligent detection system, enabling on-demand addition, avoiding waste, improving the utilization rate of the bacterial solution, and automating the addition process to reduce manual intervention and labor intensity.

[0032] The intelligent detection system forms a closed loop with the system used to implement the above methods, realizing full-process automation from data collection to precise execution, improving overall efficiency and effectiveness, promoting the development of mine support systems towards intelligence and automation, and enhancing the level of mine safety management.

[0033] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for the microbial mineralization corrosion protection of deep mine shaft anchoring materials, characterized in that, Includes the following steps: S1: Isolate, screen and identify natural mineralizing microbial strains with characteristics of high temperature resistance, high salt resistance, acid resistance, oligotrophic resistance and high stress resistance from deep mines or similar extreme environments; S2: Based on gene editing technology, silicate transporter genes and carbonate transporter genes are inserted into the natural mineralizing microbial strain to enhance its urease activity, biofilm formation ability and mineral precipitation efficiency, thereby obtaining a high-performance genetically engineered strain. S3: The high-performance genetically engineered strain is mixed with nutrient solution and applied to the surface of the downhole anchoring material and surrounding rock. Under extreme conditions, microbial metabolism is induced to produce mineralized precipitates, forming a dense protective film on the surface of the anchoring material to isolate corrosive media. S4: The intelligent detection system deployed underground monitors the parameters of the microbial living environment and the corrosion status of the anchoring material in real time, and dynamically adjusts the amount, frequency and location of nutrient solution addition based on the monitoring data to maintain the continuous activity of microorganisms and the protective effect.

2. The method for microbial mineralization corrosion protection of mine anchorage materials in deep wells according to claim 1, characterized in that: In S1, the similar extreme environments include geothermal areas, salt lakes, and acidic mine pit water environments; the mineralizing microorganisms include, but are not limited to, Pasteurella multocida and Bacillus species with high urease activity.

3. The microbial mineralization and corrosion prevention method for anchoring materials in deep mines according to claim 1, characterized in that: In S2, the gene editing technology employs CRISPR-Cas9 technology to target and edit gene clusters related to urease expression, carbonic anhydrase activity, and extracellular polymer secretion.

4. The microbial mineralization and corrosion prevention method for anchoring materials in deep mines according to claim 1, characterized in that: In S3, the nutrient solution contains urea, calcium source and trace elements necessary to maintain microbial activity; the mineralized precipitate is mainly calcium carbonate, calcium phosphate or a mixture thereof.

5. A microbial mineralization and corrosion prevention method for anchoring materials in deep mines according to claim 1, characterized in that: In S4, the intelligent detection system includes: An environmental sensor array is used to collect real-time data on temperature, humidity, pH, specific ion concentrations, and anchor bolt stress. The data acquisition and transmission unit is used to collect sensor data and upload the sensor data to the ground server; The data analysis and processing platform has built-in models based on Fick's second law diffusion coefficient and ionization density, as well as a residual strength model for corrosive anchoring materials, to process sensor data, assess the corrosive environment, and predict the residual strength of anchoring materials. The system provides feedback to the implementing agency, which automatically adjusts the nutrient solution dosage, frequency, and location based on platform instructions.

6. A microbial mineralization and corrosion prevention method for anchoring materials in deep mines according to claim 5, characterized in that: In the data analysis and processing platform, the model based on Fick's second law of diffusion coefficient and ionization density is as follows: Where i(t) is the corrosion current density of the anchoring material at time t; C s denoted as , where is the chloride ion concentration on the surface of the anchoring material; D is the chloride ion diffusion coefficient on the surface of the anchoring material; T is the surface temperature of the anchor cable under service conditions; and R is the resistivity of the surrounding rock in contact with the anchoring material.

7. A microbial mineralization and corrosion prevention method for anchoring materials in deep mines according to claim 5, characterized in that: In the data analysis and processing platform, the residual strength model of the corrosion anchoring material is as follows: Wherein, F is the existing maximum bearing capacity of the anchoring material; σ is the ultimate tensile strength of the anchoring material; r0 is the initial radius of the anchoring material; M is the relative atomic mass of the anchoring material; i(t) is the corrosion current density of the anchoring material as a function of time t; n is the number of lost electrons of the anchoring material; and ρ is the density of the anchoring material.

8. A system for implementing the method of any one of claims 1-7, characterized in that, include: A strain preparation module for culturing and storing gene-edited, enhanced, high-performance mineralizing microbial agents; The nutrient solution supply module is used to store and transport solutions containing urea, calcium source and nutrients; The intelligent monitoring module includes an array of environmental sensors and a data acquisition unit deployed at key nodes of the anchoring material to acquire environmental and anchoring material status data. The central processing module receives monitoring data, calculates the corrosion rate and remaining strength of the anchoring material using a built-in model, and generates control commands. The feedback execution module receives instructions from the central processing module and controls the valves and pumps of the nutrient solution supply module to achieve precise and automatic addition of nutrient solution.

9. The system according to claim 8, characterized in that: The model of the central processing module can dynamically predict the diffusion rate and concentration distribution of the corrosive medium based on real-time monitored ion concentration data and Fick's second law.

10. The system according to claim 8, characterized in that: The environmental sensor array includes fiber optic grating sensors for simultaneously monitoring stress and temperature changes in the anchoring material.

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