A construction method for an ultra-large-diameter municipal lake underpass tunnel based on a shield machine

Abstract

The application discloses a kind of based on shield machine's super diameter municipal lake underpass tunnel construction method, including construction module, water pressure monitoring module, water pressure control module and big data storage module, construction module is used to carry out real-time control to super diameter municipal lake underpass tunnel construction process, obtains construction execution result, water pressure monitoring module is used to carry out real-time monitoring to construction water pressure according to binary tree algorithm and acceleration algorithm, obtains water pressure real-time monitoring result, water pressure control module is used to carry out real-time control to construction water pressure according to national secret algorithm and acceleration algorithm.The super diameter municipal lake underpass tunnel construction method based on shield machine of the application avoids the situation that system appears short circuit or power failure, improves the stability and safety and reliability of system operation, water pressure monitoring can realize visualization, it is convenient for real-time water pressure monitoring, water pressure detector carries out real-time monitoring to water pressure value after processing, and the intelligence is stronger.

Description

Technical Field

[0001] This invention relates to the field of shield tunnel construction technology, and in particular to a method for constructing an ultra-large diameter municipal lake underpass tunnel based on a shield machine. Background Technology

[0002] Large-diameter municipal lakes are lakes with a large diameter. When people need to travel from one end of the lake to the other, building roads around the lake would require a very long route. Therefore, it is necessary to construct an underpass tunnel at the bottom of the lake to achieve rapid passage. A tunnel boring machine (TBM) is a specialized engineering machine used for excavating earthen tunnels. It has functions such as excavating and cutting soil, transporting excavated material, assembling tunnel lining, and measuring and guiding. TBMs are generally classified according to their working principle into: manual TBMs, extrusion TBMs, semi-mechanical TBMs, and mechanical TBMs. Semi-mechanical TBMs are all pneumatic TBMs.

[0003] When tunnel boring machines are used to construct tunnels under municipal lakes with ultra-large diameters, the construction procedures are relatively complex. When system failures occur, it is difficult to quickly detect the specific faults. When the internal load of the system is large, the temperature will rise, causing short circuits or power outages, which will affect the stability and reliability of the system operation.

[0004] Since semi-mechanical shield tunneling machines are all pneumatic shield tunneling equipment, water pressure monitoring is extremely important when constructing tunnels under municipal lakes with ultra-large diameters. Currently, when shield tunneling machines are used for tunnels under municipal lakes with ultra-large diameters, it is difficult to perform water pressure monitoring effectively, which affects the monitoring efficiency of tunnel construction.

[0005] The water pressure inside the tunnel under the lake is relatively high. Pressure sensors are usually used to monitor the water pressure, but they are not very intelligent in regulating the water pressure and it is difficult to regulate the water pressure quickly and efficiently. As a result, the water pressure regulation is delayed, which affects the construction efficiency. Summary of the Invention

[0006] The main objective of this invention is to provide a construction method for an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine, so as to solve the problems mentioned in the background above.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0008] A method for constructing an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine (TBM), characterized in that it employs the following system for constructing the ultra-large diameter municipal lake underpass tunnel based on a TBM, the system comprising a construction module, a water pressure monitoring module, a water pressure control module, and a big data storage module.

[0009] The construction module is used to control the construction process of the ultra-large diameter municipal lake underpass tunnel in real time and obtain the construction execution results.

[0010] The water pressure monitoring module is used to monitor the construction water pressure in real time according to the binary tree algorithm and the acceleration algorithm, and obtain the real-time water pressure monitoring results;

[0011] The water pressure control module is used to control the construction water pressure in real time according to the national cryptographic algorithm and the acceleration algorithm, and obtain the real-time result of the controlled water pressure.

[0012] The big data storage module is used to automatically store or periodically clean up the transaction content of the construction of the underpass tunnel for the ultra-large diameter municipal lake. The stored content and the cleaned content depend on the usage time of the computer equipment in the underpass tunnel system.

[0013] Based on the above technical solutions, the present invention may also employ the following further technical solutions, or combine these further technical solutions:

[0014] The construction module includes a program control module, a construction classification unit, a comparison module, a temperature controller, and a fault sensitive word setting unit. The program control module includes a computer device and a processor. The computer device is used to intelligently control the network security analysis system according to the computer program. The processor relies on big data processing and artificial intelligence technology to process data. The processor receives real-time data and quickly detects program control anomalies by comparing and analyzing the real-time data.

[0015] The construction classification unit is used to classify and record the construction content; the comparison module compares the construction content with the construction personnel in the system; the comparison module includes an image acquisition unit, which is used to capture the faces of construction personnel to ensure the accuracy of construction supervision.

[0016] The temperature controller is used to detect and regulate the internal stability of the system in real time; the fault sensitive word setting unit sets fault sensitive keywords, and the data analysis and control unit compares the faults detected by the system with sensitive words; if the comparison result matches, fault control is performed; if the comparison result does not match, the alarm manual feedback unit is entered, and the alarm in the alarm manual feedback unit is activated to issue an alarm reminder that manual feedback is required.

[0017] The water pressure monitoring module includes a measurement module and a visual real-time monitoring module; the measurement module includes a pressure sensor, a water pressure threshold setting unit, and a water pressure value positioning unit; the visual real-time monitoring module includes a data receiving unit, a data analysis unit, a waterproof display unit, and a visual display unit.

[0018] The pressure sensor is used to measure water pressure in real time; the water pressure threshold setting unit sets an appropriate threshold range for the water pressure and enters the water pressure value positioning; the water pressure value positioning unit is used to confirm the threshold range of the measured value.

[0019] The data receiving unit receives water pressure data, performs accelerated calculations on the data using a binary tree algorithm and an acceleration algorithm, and then sends the data to the data analysis unit. The data analysis unit is used to perform accelerated analysis on the data using the binary tree algorithm and the acceleration algorithm. The waterproof display screen is used to display the real-time monitored data and obtain the data display results. The visualization display unit performs data visualization display through the waterproof display screen.

[0020] The water pressure control module includes a water pressure threshold acquisition unit, a threshold detection unit, a pressure reducing pump, a valve drive module, and a water pressure detector; the water pressure threshold acquisition unit is used to acquire the detected water pressure value; the threshold detection unit is used to confirm the water pressure value; the pressure reducing pump performs pressure reduction operation according to the instruction; the pressure reducing pump is equipped with a timer, which is used to intelligently control the pressure reduction duration.

[0021] The valve drive module is used to drive the pressure reducing pump and accelerate it according to the acceleration algorithm; the water pressure detector is used to monitor the water pressure value in real time according to the pressure reduction result and obtain the real-time water pressure value after adjustment.

[0022] The method includes the following steps:

[0023] S1: When the tunnel boring machine is constructing an underpass tunnel for an ultra-large diameter municipal lake, it first classifies and controls the construction personnel information and construction content according to the construction module. It also tracks the construction process in real time based on big data and artificial intelligence to ensure the stability of equipment operation. The construction module is equipped with a temperature controller and a fault sensitive word setting unit, which can detect and control the internal stability of the system in real time to avoid short circuits or power outages. The fault sensitive word setting unit sets fault sensitive keywords. The data analysis and control unit compares the faults detected by the system with the sensitive words. If the comparison result matches, fault control is performed. If the comparison result does not match, it enters the alarm manual feedback unit. The alarm in the alarm manual feedback unit is activated and issues an alarm to remind manual feedback is required.

[0024] S2: During construction, the water pressure monitoring module monitors the water pressure in real time. The water pressure monitoring module includes a measurement module and a visualization real-time monitoring module. When the system is in use, a threshold is first set for the water pressure. The pressure sensor measures the water pressure, and the water pressure threshold setting unit sets an appropriate threshold range for the water pressure. The measured value is confirmed by the threshold range through the water pressure value positioning unit. The data is processed by the binary tree algorithm and acceleration algorithm, and the data is analyzed. After the data analysis, the data is visualized through a waterproof display screen, enabling the system to monitor the water pressure in real time during the construction of tunnels under ultra-large diameter municipal lakes. The water pressure monitoring can be visualized, which is convenient for real-time water pressure monitoring.

[0025] S3: After real-time water pressure monitoring, the water pressure regulation module is entered. During system use, the water pressure threshold acquisition unit collects the detected water pressure value, the threshold detection unit confirms the water pressure value, the pressure reducing pump performs pressure reduction operation according to the instruction, the timer intelligently controls the pressure reduction duration, the valve drive module drives the pressure reducing pump to run, and accelerates the process according to the acceleration algorithm. After processing, the water pressure detector monitors the water pressure value in real time. It has strong intelligence and can perform water pressure regulation quickly and efficiently, reducing the delay of water pressure regulation and improving construction efficiency.

[0026] S4: After water pressure monitoring and control, the data enters the big data storage module, which can record and store the control program of the construction process. The big data storage module is electrically connected to the construction module, water pressure monitoring module and water pressure control module to completely save and encrypt the construction process and construction program to prevent data loss or theft.

[0027] The present invention has the following beneficial effects:

[0028] 1. In this invention, by setting up a construction module, the program control module includes a computer device and a processor. The computer device is used to intelligently control the network security analysis system according to the computer program. The processor relies on big data processing and artificial intelligence technology to process data. When the tunnel boring machine is carrying out tunnel construction, the processor receives real-time data and quickly detects abnormal program control by comparing and analyzing the real-time data. The construction classification unit classifies and records the construction content. The comparison module compares the construction content with the construction personnel in the system. The image acquisition unit captures the faces of the construction personnel to ensure the accuracy of construction supervision. The temperature controller detects and controls the internal stability of the system in real time to avoid short circuits or power outages. The fault sensitive word setting unit sets fault sensitive keywords. The data analysis and control unit compares the faults detected by the system with sensitive words. If the comparison result matches, fault control is performed. If the comparison result does not match, the alarm manual feedback unit is entered. The alarm in the alarm manual feedback unit is activated to issue an alarm reminding that manual feedback is required, thereby improving the stability and reliability of the system operation.

[0029] 2. In this invention, a water pressure monitoring module is set up, which includes a measurement module and a real-time visualization monitoring module. The measurement module includes a pressure sensor, a water pressure threshold setting unit, and a water pressure value positioning unit. When the system is in use, a threshold is first set for the water pressure. The pressure sensor measures the water pressure, and the water pressure threshold setting unit sets an appropriate threshold range. The measured value is confirmed by the water pressure value positioning unit to confirm the threshold range. The real-time visualization monitoring module includes a data receiving unit, a data analysis unit, a waterproof display unit, and a visualization display unit. When the system is in use, the data receiving unit receives the water pressure data, performs accelerated calculations on the data according to the binary tree algorithm and acceleration algorithm, and performs data analysis. After data analysis, the data is visualized on the waterproof display screen, enabling the system to monitor water pressure in real time during the construction of tunnels under ultra-large diameter municipal lakes. The water pressure monitoring can be visualized, facilitating real-time water pressure monitoring. The binary tree algorithm and acceleration algorithm can improve the monitoring efficiency of tunnel construction.

[0030] 3. In this invention, a water pressure control module is set up, which includes a water pressure threshold acquisition unit, a threshold detection unit, a pressure reducing pump, a valve drive module, and a water pressure detector. When the system is in use, the water pressure threshold acquisition unit acquires the detected water pressure value, the threshold detection unit confirms the water pressure value, the pressure reducing pump performs pressure reduction operation according to the instruction, the timer intelligently controls the pressure reduction duration, the valve drive module drives the pressure reducing pump to run, and accelerates the process according to an acceleration algorithm. After processing, the water pressure detector monitors the water pressure value in real time. The system is highly intelligent and can perform water pressure control quickly and efficiently, reducing the delay in water pressure control and improving construction efficiency. Attached Figure Description

[0031] Figure 1 This is a system architecture diagram of a method for constructing an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine, according to the present invention.

[0032] Figure 2 This is a structural framework diagram of the construction module of a method for constructing an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine, according to the present invention.

[0033] Figure 3 This is a structural diagram of the water pressure monitoring module for a construction method of an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine, according to the present invention.

[0034] Figure 4 This is a structural diagram of the water pressure control module for a construction method of an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine, according to the present invention. Detailed Implementation

[0035] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0036] Please refer to Figure 1-2 As shown: A method for constructing an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine. The method employs the following system for constructing the ultra-large diameter municipal lake underpass tunnel, which includes a construction module, a water pressure monitoring module, a water pressure control module, and a big data storage module.

[0037] The construction module is used to control the construction process of the underpass tunnel for ultra-large diameter municipal lakes in real time and obtain the construction execution results;

[0038] The water pressure monitoring module is used to monitor the construction water pressure in real time based on the binary tree algorithm and the acceleration algorithm, and obtain the real-time water pressure monitoring results;

[0039] The water pressure control module is used to control the construction water pressure in real time according to the national cryptographic algorithm and the acceleration algorithm, and obtain the real-time result of the controlled water pressure.

[0040] The big data storage module is used to automatically store or periodically clean up transaction content based on the construction of underpass tunnels for ultra-large diameter municipal lakes. The stored and cleaned content depends on the usage time of the computer equipment within the underpass tunnel system.

[0041] The construction module includes a program control module, a construction classification unit, a comparison module, a temperature controller, and a fault sensitive word setting unit;

[0042] The program control module includes computer equipment and a processor. The computer equipment is used to intelligently control the network security analysis system according to the computer program. The processor relies on big data processing and artificial intelligence technology to process data. The processor receives real-time data and quickly detects abnormal program control by comparing and analyzing the data with the real-time data.

[0043] The construction classification unit is used to classify and record the construction content;

[0044] The comparison module compares the construction content with the construction personnel within the system.

[0045] The comparison module includes an image acquisition unit, which is used to capture the faces of construction workers to ensure the accuracy of construction supervision.

[0046] The temperature controller is used to monitor and regulate the internal stability of the system in real time;

[0047] The fault sensitive word setting unit sets fault sensitive keywords, and the data analysis and control unit compares the faults detected by the system with sensitive words;

[0048] If the comparison results match, fault control is performed; if the comparison results do not match, the alarm manual feedback unit is activated. The alarm in the alarm manual feedback unit is activated, and an alarm is issued to remind that manual feedback is required.

[0049] The construction module includes a program control module, a construction classification unit, a comparison module, a temperature controller, and a fault sensitive word setting unit. The program control module includes computer equipment and a processor. The computer equipment is used to intelligently control the network security analysis system according to the computer program. The processor relies on big data processing and artificial intelligence technology to process data. When the tunnel boring machine is constructing the tunnel, the processor receives real-time data and quickly detects program control anomalies by comparing and analyzing the real-time data. The construction classification unit classifies and records the construction content. The comparison module compares the construction content with the construction personnel in the system. The image acquisition unit captures the faces of the construction personnel to ensure the accuracy of construction supervision. The temperature controller monitors and controls the internal stability of the system in real time to prevent short circuits or power outages. The fault sensitive word setting unit sets fault sensitive keywords. The data analysis and control unit compares the faults detected by the system with sensitive words. If the comparison result matches, fault control is performed. If the comparison result does not match, the alarm manual feedback unit is activated, and the alarm is issued to remind manual feedback is required.

[0050] Reference Figure 3 The water pressure monitoring module includes a measurement module and a real-time visualization monitoring module;

[0051] The measurement module includes a pressure sensor, a water pressure threshold setting unit, and a water pressure value positioning unit;

[0052] The real-time visualization monitoring module includes a data receiving unit, a data analysis unit, a waterproof display unit, and a visualization display unit.

[0053] Pressure sensors are used to measure water pressure in real time;

[0054] The water pressure threshold setting unit sets an appropriate threshold range for the water pressure and then enters the water pressure value positioning process.

[0055] The water pressure value positioning unit is used to confirm the threshold range of the measured value.

[0056] The data receiving unit receives the water pressure value, performs accelerated calculations on the data using a binary tree algorithm and an acceleration algorithm, and then sends the data to the data analysis unit.

[0057] The data analysis unit is used to accelerate data analysis based on binary tree algorithms and acceleration algorithms;

[0058] Waterproof displays are used to show real-time monitored data and obtain data display results;

[0059] The visualization unit uses a waterproof display screen to visualize the data.

[0060] The water pressure monitoring module includes a measurement module and a real-time visualization monitoring module. The measurement module includes a pressure sensor, a water pressure threshold setting unit, and a water pressure value positioning unit. During system operation, a water pressure threshold is first set, the pressure sensor measures the water pressure, the water pressure threshold setting unit sets an appropriate threshold range, and the measured value is confirmed within the threshold range by the water pressure value positioning unit. The real-time visualization monitoring module includes a data receiving unit, a data analysis unit, a waterproof display unit, and a visualization display unit. During system operation, the data receiving unit receives the water pressure data, performs accelerated calculations based on a binary tree algorithm and an acceleration algorithm, and analyzes the data. After analysis, the data is visualized on a waterproof display screen. This allows the system to monitor water pressure in real-time during the construction of tunnels under large-diameter municipal lakes, and the water pressure monitoring is visualized, facilitating real-time water pressure monitoring. The binary tree algorithm and acceleration algorithm improve the monitoring efficiency of tunnel construction.

[0061] Reference Figure 4 The water pressure control module includes a water pressure threshold acquisition unit, a threshold detection unit, a pressure reducing pump, a valve drive module, and a water pressure detector;

[0062] The water pressure threshold acquisition unit is used to acquire the detected water pressure value;

[0063] The threshold detection unit is used for secondary confirmation of the water pressure value;

[0064] The pressure reducing pump reduces the pressure according to the instructions.

[0065] The pressure reducing pump is equipped with a timer, which is used to intelligently control the pressure reduction duration.

[0066] The valve drive module is used to drive the pressure reducing pump and accelerate it according to the acceleration algorithm;

[0067] The water pressure detector is used to monitor the water pressure value in real time based on the decompression result, and obtain the adjusted real-time water pressure value.

[0068] The water pressure control module includes a water pressure threshold acquisition unit, a threshold detection unit, a pressure reducing pump, a valve drive module, and a water pressure detector. During system operation, the water pressure threshold acquisition unit acquires the detected water pressure value, the threshold detection unit confirms the water pressure value, the pressure reducing pump reduces pressure according to instructions, a timer intelligently controls the pressure reduction duration, the valve drive module drives the pressure reducing pump, and an acceleration algorithm accelerates the process. The processed water pressure is then monitored in real time by the water pressure detector. This highly intelligent module enables rapid and efficient water pressure control, reducing delays and improving construction efficiency.

[0069] A method for constructing an ultra-large diameter tunnel under a municipal lake based on a tunnel boring machine (TBM), comprising the following steps:

[0070] S1: When the tunnel boring machine is constructing an underpass tunnel for an ultra-large diameter municipal lake, it first classifies and controls the construction personnel information and construction content according to the construction module. It also tracks the construction process in real time based on big data and artificial intelligence to ensure the stability of equipment operation. The construction module is equipped with a temperature controller and a fault sensitive word setting unit, which can detect and control the internal stability of the system in real time to avoid short circuits or power outages. The fault sensitive word setting unit sets fault sensitive keywords. The data analysis and control unit compares the faults detected by the system with the sensitive words. If the comparison result matches, fault control is performed. If the comparison result does not match, it enters the alarm manual feedback unit. The alarm in the alarm manual feedback unit is activated and issues an alarm to remind that manual feedback is required, thereby ensuring the safety and reliability of the construction process.

[0071] S2: During construction, the water pressure monitoring module can monitor the water pressure in real time. The water pressure monitoring module includes a measurement module and a visualization real-time monitoring module. When the system is in use, a threshold is first set for the water pressure. The pressure sensor measures the water pressure, and the water pressure threshold setting unit sets an appropriate threshold range for the water pressure. The measured value is confirmed by the threshold range through the water pressure value positioning unit. The data is accelerated by using a binary tree algorithm and an acceleration algorithm, and data analysis is performed. After data analysis, the data is visualized through a waterproof display screen, enabling the system to monitor the water pressure in real time during the construction of tunnels under large-diameter municipal lakes. The water pressure monitoring can be visualized, which is convenient for real-time water pressure monitoring.

[0072] S3: After real-time water pressure monitoring, the water pressure regulation module is entered. During system use, the water pressure threshold acquisition unit collects the detected water pressure value, the threshold detection unit confirms the water pressure value, the pressure reducing pump performs pressure reduction operation according to the instruction, the timer intelligently controls the pressure reduction duration, the valve drive module drives the pressure reducing pump to run, and accelerates the process according to the acceleration algorithm. After processing, the water pressure detector monitors the water pressure value in real time. It has strong intelligence and can perform water pressure regulation quickly and efficiently, reducing the delay of water pressure regulation and improving construction efficiency.

[0073] S4: After water pressure monitoring and control, the data enters the big data storage module, which can record and store the control program of the construction process. The big data storage module is electrically connected to the construction module, water pressure monitoring module and water pressure control module to completely save and encrypt the construction process and construction program to prevent data loss or theft.

[0074] In summary, this invention requires computer equipment to control the circuit via big data during operation. When controlling the computer equipment, it utilizes national cryptographic algorithms and acceleration algorithms to improve control efficiency. Firstly, during tunnel construction by the tunnel boring machine, the program control module includes a computer device and a processor. The computer device intelligently controls the network security analysis system according to the computer program. The processor relies on big data processing and artificial intelligence technologies to process data. The processor receives real-time data and quickly detects program control anomalies through comparative analysis. The construction classification unit classifies and records the construction content, and the comparison module compares the construction content with the construction personnel within the system. The image acquisition unit... Facial recognition of construction workers ensures accurate construction supervision. The temperature controller monitors and regulates the system's internal stability in real time to prevent short circuits or power outages. A fault-sensitive keyword setting unit sets fault-sensitive keywords. The data analysis and control unit compares detected faults using these keywords; if the comparison matches, fault control is implemented; otherwise, the system enters the alarm manual feedback unit. The alarm in the manual feedback unit is activated, alerting the system to the need for manual feedback, thus improving the system's stability and reliability. The water pressure monitoring module includes a measurement module and a real-time visualization monitoring module. The measurement module includes a pressure sensor, a water pressure threshold setting unit, and a water pressure value positioning unit. In operation, a threshold value for water pressure is first set. A pressure sensor measures the water pressure, and a water pressure threshold setting unit sets an appropriate threshold range. The measured value is then confirmed within the threshold range by a water pressure value positioning unit. The real-time visualization monitoring module includes a data receiving unit, a data analysis unit, a waterproof display unit, and a visualization display unit. During system operation, the data receiving unit receives water pressure data, performs accelerated calculations based on a binary tree algorithm and an acceleration algorithm, and analyzes the data. The analyzed data is then visualized on a waterproof display screen, enabling the system to monitor water pressure in real-time during the construction of tunnels under large-diameter municipal lakes. Furthermore, the water pressure monitoring is visualized, facilitating real-time water pressure monitoring. The monitoring system, utilizing binary tree algorithms and acceleration algorithms, improves the monitoring efficiency of tunnel construction. The water pressure control module includes a water pressure threshold acquisition unit, a threshold detection unit, a pressure reducing pump, a valve drive module, and a water pressure detector. During system operation, the water pressure threshold acquisition unit collects the detected water pressure value, the threshold detection unit confirms the value, the pressure reducing pump reduces pressure according to instructions, a timer intelligently controls the pressure reduction duration, the valve drive module drives the pressure reducing pump, and the acceleration algorithm speeds up the process. The processed water pressure is then monitored in real-time by the water pressure detector. This highly intelligent system enables rapid and efficient water pressure control, reducing delays and improving construction efficiency. The entire system is highly intelligent, has a high data processing rate, and is highly practical.

[0075] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A construction method for an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine, characterized in that, The system employs the following system for the construction of an ultra-large diameter municipal lake underpass tunnel based on a tunnel boring machine: a construction module, a water pressure monitoring module, a water pressure control module, and a big data storage module. The construction module is used to control the construction process of the ultra-large diameter municipal lake underpass tunnel in real time and obtain the construction execution results. The water pressure monitoring module is used to monitor the construction water pressure in real time according to the binary tree algorithm and the acceleration algorithm, and obtain the real-time water pressure monitoring results; The water pressure control module is used to control the construction water pressure in real time according to the national cryptographic algorithm and the acceleration algorithm, and obtain the real-time result of the controlled water pressure. The big data storage module is used to automatically store or periodically clean up the transaction content of the construction of the underpass tunnel for the ultra-large diameter municipal lake. The stored content and the cleaned content depend on the usage time of the computer equipment in the underpass tunnel system. The steps include the following: S1: When the tunnel boring machine is constructing an underpass tunnel for an ultra-large diameter municipal lake, it first classifies and controls the construction personnel information and construction content according to the construction module. It also tracks the construction process in real time based on big data and artificial intelligence to ensure the stability of equipment operation. The construction module is equipped with a temperature controller and a fault sensitive word setting unit, which can detect and control the internal stability of the system in real time to avoid short circuits or power outages. The fault sensitive word setting unit sets fault sensitive keywords. The data analysis and control unit compares the faults detected by the system with the sensitive words. If the comparison result matches, fault control is performed. If the comparison result does not match, it enters the alarm manual feedback unit. The alarm in the alarm manual feedback unit is activated and issues an alarm to remind manual feedback is required. S2: During construction, the water pressure monitoring module monitors the water pressure in real time. The water pressure monitoring module includes a measurement module and a visualization real-time monitoring module. When the system is in use, a threshold is first set for the water pressure. The pressure sensor measures the water pressure, and the water pressure threshold setting unit sets an appropriate threshold range for the water pressure. The measured value is confirmed by the threshold range through the water pressure value positioning unit. The data is processed by the binary tree algorithm and acceleration algorithm, and the data is analyzed. After the data analysis, the data is visualized through the waterproof display unit, enabling the system to monitor the water pressure in real time during the construction of tunnels under ultra-large diameter municipal lakes. The water pressure monitoring can be visualized, which is convenient for real-time water pressure monitoring. S3: After real-time water pressure monitoring, the water pressure regulation module is entered. During system use, the water pressure threshold acquisition unit collects the detected water pressure value, the threshold detection unit confirms the water pressure value, the pressure reducing pump performs pressure reduction operation according to the instruction, the timer intelligently controls the pressure reduction duration, the valve drive module drives the pressure reducing pump to run, and accelerates the process according to the acceleration algorithm. After processing, the water pressure detector monitors the water pressure value in real time. It has strong intelligence and can perform water pressure regulation quickly and efficiently, reducing the delay of water pressure regulation and improving construction efficiency. S4: After water pressure monitoring and control, the data enters the big data storage module, which can record and store the control program of the construction process. The big data storage module is electrically connected to the construction module, water pressure monitoring module and water pressure control module to completely save and encrypt the construction process and construction program to prevent data loss or theft.

2. The method according to claim 1, characterized in that: The construction module includes a program control module, a construction classification unit, a comparison module, a temperature controller, and a fault sensitive word setting unit; The program control module includes a computer device and a processor. The computer device is used to intelligently control the network security analysis system according to the computer program. The processor relies on big data processing and artificial intelligence technology to process data. The processor receives real-time data and quickly detects program control anomalies by comparing and analyzing the real-time data.

3. The method according to claim 2, characterized in that: The construction classification unit is used to classify and record the construction content; The comparison module compares the construction content with the construction personnel within the system. The comparison module includes an image acquisition unit, which is used to capture the faces of construction workers to ensure the accuracy of construction supervision.

4. The method according to claim 3, characterized in that: The temperature controller is used to monitor and regulate the internal stability of the system in real time. The fault sensitive word setting unit sets fault sensitive keywords, and the data analysis and control unit compares the faults detected by the system with sensitive words; if the comparison result matches, fault control is performed; if the comparison result does not match, the alarm manual feedback unit is entered, and the alarm in the alarm manual feedback unit is activated to issue an alarm reminder that manual feedback is required.

5. The method according to claim 1, characterized in that: The water pressure monitoring module includes a measurement module and a real-time visualization monitoring module; The measurement module includes a pressure sensor, a water pressure threshold setting unit, and a water pressure value positioning unit; The real-time visualization monitoring module includes a data receiving unit, a data analysis unit, a waterproof display unit, and a visualization display unit.

6. The method according to claim 5, characterized in that: The pressure sensor is used to measure water pressure in real time; The water pressure threshold setting unit sets an appropriate threshold range for the water pressure and then enters the water pressure value positioning. The water pressure value positioning unit is used to confirm the threshold range of the measured value.

7. The method according to claim 6, characterized in that: The data receiving unit receives the water pressure value, performs accelerated calculations on the data using a binary tree algorithm and an acceleration algorithm, and then inputs the data into the data analysis unit. The data analysis unit is used to perform accelerated data analysis based on the binary tree algorithm and the acceleration algorithm; The waterproof display unit is used to display the data monitored in real time and obtain the data display results; The visualization unit displays data through a waterproof display unit.

8. The method according to claim 1, characterized in that: The water pressure control module includes a water pressure threshold acquisition unit, a threshold detection unit, a pressure reducing pump, a valve drive module, and a water pressure detector; The water pressure threshold acquisition unit is used to acquire the detected water pressure value; The threshold detection unit is used for secondary confirmation of the water pressure value; The pressure reducing pump performs pressure reduction operation according to the instruction; The pressure reducing pump is equipped with a timer, which is used to intelligently control the pressure reduction duration.

9. The method according to claim 8, characterized in that: The valve drive module is used to drive the pressure reducing pump and accelerate it according to the acceleration algorithm; The water pressure detector is used to monitor the water pressure value in real time based on the decompression result, and obtain the adjusted real-time water pressure value.

Images