Shield tunneling speed intelligent control system

Abstract

The invention provides a shield tunneling speed intelligent control system, which relates to the field of shield tunneling intelligent control, and is characterized in that the shield tunneling speed intelligent control system comprises a data acquisition module, a data processing module, an intelligent control module, a human-computer interaction interface and a database module, and the data acquisition module is used for acquiring operation parameters of a shield tunneling machine in real time. The efficient and intelligent shield tunneling speed control system has the advantages that comprehensive optimization of the tunneling process is achieved, the intelligent control module can adjust a control algorithm in a self-adaptive mode according to the real-time state and the prediction trend, stability and accuracy of the tunneling speed are ensured, and therefore construction efficiency is remarkably improved, and construction cost is reduced. Therefore, the intelligent control system not only greatly improves the efficiency and quality of shield tunnel construction, but also lays a solid foundation for future intelligent and automatic construction, and has wide application prospects and market potential.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control of shield tunneling, and in particular to an intelligent control system for shield tunneling speed. Background Art

[0002] During shield tunneling, advancement speed is a key factor influencing efficiency and quality. Traditional shield tunneling speed control relies primarily on manual experience, lacking real-time monitoring and intelligent adjustment. This leads to unstable advancement speeds, impacting construction progress and safety. Therefore, a system capable of intelligently controlling advancement speed is needed to improve both efficiency and safety. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent control system for the tunneling speed of a shield tunnel, which solves the problem that the tunneling speed control in the prior art relies on manual experience, has low efficiency and poor stability.

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0005] A shield tunneling speed intelligent control system is characterized by including: a data acquisition module, a data processing module, an intelligent control module, a human-computer interaction interface, and a database module. The data acquisition module is used to collect the operating parameters of the shield machine in real time, including but not limited to propulsion speed, cutterhead speed, thrust, torque, soil pressure, and groundwater level. The data processing module is used to store, analyze and process the collected data to generate a real-time status of the tunneling speed. The intelligent control module is used to intelligently adjust the operating parameters of the shield machine based on the analysis results of the data processing module and a preset tunneling speed control algorithm to achieve automatic control of the tunneling speed. The human-computer interaction interface is used to display the real-time operating status, tunneling speed, early warning information, etc. of the shield machine, and provide a manual intervention interface. The database module is used to store historical operating data, tunneling speed control parameters, fault records, etc., to provide data support for the intelligent control module.

[0006] As an improvement, the data acquisition module includes multiple sensors, which are respectively used to collect different operating parameters of the shield machine. The sensors are connected to the data processing module via wired or wireless means.

[0007] As an improvement, the data processing module adopts big data analysis technology to perform real-time analysis and processing on the collected data, and generate the real-time status and predicted trend of the tunneling speed.

[0008] As an improvement, the intelligent control module includes a control algorithm library and an adaptive adjustment module. The control algorithm library stores a variety of excavation speed control algorithms, including PID control algorithm, fuzzy control algorithm, and neural network control algorithm. The adaptive adjustment module can adaptively select and adjust the control algorithm according to real-time status and predicted trends to achieve optimal control of the excavation speed.

[0009] As an improvement, the human-computer interaction interface includes a real-time status display area, a warning information display area and a manual intervention interface. The real-time status display area is used to display the real-time operating status, excavation speed, cutterhead speed, thrust, torque and other parameters of the shield machine. The warning information display area is used to display abnormal conditions and warning information detected by the system. The manual intervention interface is used for the operator to manually adjust the excavation speed control parameters.

[0010] As an improvement, the database module adopts a relational database or a NoSQL database to store historical operation data, tunneling speed control parameters, and fault records.

[0011] As an improvement, the system also includes a remote monitoring module for realizing remote monitoring and control of the tunneling speed of the shield machine, and the operator can remotely access and control the system through the Internet.

[0012] As an improvement, the system also includes a safety monitoring module for real-time monitoring of the operating status of the shield machine and surrounding environmental parameters, detecting abnormal situations and issuing early warnings.

[0013] The beneficial effects of the present invention are as follows: by adopting an efficient and intelligent shield tunneling speed control system, the present invention realizes comprehensive optimization of the tunneling process. The intelligent control module can adaptively adjust the control algorithm according to the real-time status and predicted trend to ensure the stability and accuracy of the tunneling speed, thereby significantly improving the construction efficiency. Therefore, the intelligent control system not only greatly improves the efficiency and quality of shield tunnel construction, but also lays a solid foundation for future intelligent and automated construction, and has broad application prospects and market potential. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a flow chart of an intelligent control system for shield tunneling speed according to the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0016] It should be noted that the terms "first" and "second" in this application are only used for descriptive purposes and should not be understood as indicating or suggesting relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0017] like Figure 1 As shown, an intelligent control system for the excavation speed of a shield tunnel is characterized by including: a data acquisition module, a data processing module, an intelligent control module, a human-computer interaction interface, and a database module. The data acquisition module is used to collect the operating parameters of the shield machine in real time, including but not limited to propulsion speed, cutterhead speed, thrust, torque, soil pressure, and groundwater level. The data processing module is used to store, analyze and process the collected data to generate a real-time status of the excavation speed. The intelligent control module is used to intelligently adjust the operating parameters of the shield machine according to the analysis results of the data processing module and in combination with a preset excavation speed control algorithm to achieve automatic control of the excavation speed. The human-computer interaction interface is used to display the real-time operating status, excavation speed, early warning information, etc. of the shield machine, and provide a manual intervention interface. The database module is used to store historical operating data, excavation speed control parameters, fault records, etc., to provide data support for the intelligent control module.

[0018] The data acquisition module includes multiple sensors, which are used to collect different operating parameters of the shield machine. The sensors are connected to the data processing module via wired or wireless means.

[0019] The data processing module uses big data analysis technology to analyze and process the collected data in real time, generating real-time status and predicted trends of tunneling speed.

[0020] The intelligent control module includes a control algorithm library and an adaptive adjustment module. The control algorithm library stores a variety of tunneling speed control algorithms, including PID control algorithm, fuzzy control algorithm, and neural network control algorithm. The adaptive adjustment module can adaptively select and adjust the control algorithm according to real-time status and predicted trends to achieve optimal control of tunneling speed.

[0021] The human-computer interaction interface includes a real-time status display area, an early warning information display area and a manual intervention interface. The real-time status display area is used to display the real-time operating status, excavation speed, cutterhead speed, thrust, torque and other parameters of the shield machine. The early warning information display area is used to display abnormal conditions and early warning information detected by the system. The manual intervention interface is used for operators to manually adjust the excavation speed control parameters.

[0022] The database module uses a relational database or NoSQL database to store historical operation data, tunneling speed control parameters, and fault records.

[0023] The system also includes a remote monitoring module for remote monitoring and control of the shield machine's excavation speed. Operators can remotely access and control the system via the Internet.

[0024] The system also includes a safety monitoring module, which is used to monitor the operating status of the shield machine and surrounding environmental parameters in real time, detect abnormal situations and issue early warnings.

[0025] During use, first, the operator starts the system through the human-computer interaction interface. The system performs self-checks and initializes each module, including the data acquisition module, data processing module, intelligent control module, database module, remote monitoring module and safety monitoring module. After startup, the data acquisition module collects the operating parameters of the shield machine in real time through multiple sensors, such as propulsion speed, cutterhead speed, thrust, torque, soil pressure and groundwater level, and transmits these data to the data processing module via wired or wireless means. The data processing module uses big data analysis technology to store, analyze and process the collected data in real time, generate the real-time status and predicted trend of the excavation speed, and transmit the results to the intelligent control module. The intelligent control module adaptively selects and adjusts the control parameters based on the preset excavation speed control algorithm, combined with the real-time status and predicted trend, to achieve intelligent adjustment of the shield machine operating parameters, thereby automatically controlling the excavation speed.

[0026] At the same time, all real-time operating status, warning information and control parameters will be displayed on the human-computer interaction interface. The operator can view the operating status of the shield machine through the real-time status display area, understand the abnormal conditions detected by the system through the warning information display area, and make manual adjustments through the manual intervention interface. In addition, the system will store all historical operating data, tunneling speed control parameters and fault records in the database module for subsequent analysis and optimization. The operator can also remotely monitor and control the tunneling speed of the shield machine through the remote monitoring module, so that the operator can grasp the construction situation even if he is not on site. Finally, the safety monitoring module monitors the operating status of the shield machine and the surrounding environmental parameters in real time to ensure construction safety and issues a warning when an abnormal condition is detected.

[0027] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.

Claims

1. An intelligent control system for shield tunneling speed, characterized in that: include: Data acquisition module, data processing module, intelligent control module, human-computer interaction interface, database module, the data acquisition module is used to collect the operating parameters of the shield machine in real time, including but not limited to propulsion speed, cutterhead speed, thrust, torque, soil pressure, and groundwater level; the data processing module is used to store, analyze and process the collected data to generate the real-time status of the tunneling speed; the intelligent control module is used to intelligently adjust the operating parameters of the shield machine according to the analysis results of the data processing module and the preset tunneling speed control algorithm to achieve automatic control of the tunneling speed; the human-computer interaction interface is used to display the real-time operating status, tunneling speed, early warning information, etc. of the shield machine, and provide a manual intervention interface; the database module is used to store historical operating data, tunneling speed control parameters, fault records, etc., and provide data support for the intelligent control module.

2. The intelligent control system for shield tunneling speed according to claim 1, characterized in that: The data acquisition module includes a plurality of sensors, each of which is used to collect different operating parameters of the shield machine. The sensors are connected to the data processing module via a wired or wireless method.

3. The intelligent control system for shield tunneling speed according to claim 1, characterized in that: The data processing module uses big data analysis technology to analyze and process the collected data in real time to generate the real-time status and predicted trend of the tunneling speed.

4. The intelligent control system for shield tunneling speed according to claim 1, characterized in that: The intelligent control module includes a control algorithm library and an adaptive adjustment module. The control algorithm library stores multiple tunneling speed control algorithms, including PID control algorithm, fuzzy control algorithm, and neural network control algorithm. The adaptive adjustment module can adaptively select and adjust the control algorithm according to real-time status and predicted trends to achieve optimal control of the tunneling speed.

5. The intelligent control system for shield tunneling speed according to claim 1, characterized in that: The human-computer interaction interface includes a real-time status display area, a warning information display area and a manual intervention interface. The real-time status display area is used to display the real-time operating status, excavation speed, cutterhead speed, thrust, torque and other parameters of the shield machine. The warning information display area is used to display abnormal conditions and warning information detected by the system. The manual intervention interface is used for the operator to manually adjust the excavation speed control parameters.

6. The intelligent control system for shield tunneling speed according to claim 1, characterized in that: The database module adopts a relational database or a NoSQL database to store historical operation data, tunneling speed control parameters, and fault records.

7. The intelligent control system for shield tunneling speed according to claim 1, characterized in that: The system also includes a remote monitoring module for remotely monitoring and controlling the tunneling speed of the shield machine. Operators can remotely access and control the system through the Internet.

8. The intelligent control system for shield tunneling speed according to claim 1, characterized in that: The system also includes a safety monitoring module for monitoring the operating status of the shield machine and surrounding environmental parameters in real time, detecting abnormal situations and issuing early warnings.

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