Tunnel boring machine tunneling real-time risk assessment method

Abstract

The invention provides a tunneling real-time risk assessment method for a tunnel boring machine. The method is applied to the technical field of data processing, and comprises the following steps: acquiring working parameters in a tunneling process of a tunnel boring machine in real time; the working parameters comprise the vibration frequency of the tunneling machine, the tunneling speed, the output pressure of a hydraulic pump and the temperature of a cutter; determining the vibration risk level of the tunnel boring machine according to the relationship between the vibration frequency of the tunnel boring machine and the frequency threshold value; adjusting the tunneling speed for the first time according to the vibration risk level of the tunnel boring machine; after the first adjustment is carried out, the variance of the output pressure of the hydraulic pump within the preset time is calculated, and the stability risk level of the output pressure of the hydraulic pump within the preset time is judged according to the variance; and according to the stability risk level of the output pressure of the hydraulic pump within the preset time, the tunneling speed after the first adjustment is adjusted for the second time. In this way, the accuracy of real-time risk assessment of tunneling of the tunnel boring machine can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a real-time risk assessment method for tunnel boring machine excavation. Background Art

[0002] Tunnel boring machine excavation is a construction technology widely used in underground engineering, and is often used in infrastructure construction such as subways, highways, and tunnels. During the tunnel boring machine excavation process, construction personnel and equipment face many risks, including geological uncertainty, sudden water surges, gas leaks, etc. By implementing real-time risk assessment, these risks can be identified and monitored in a timely manner, so that corresponding preventive measures can be taken, which will help reduce the probability of accidents and protect the lives of construction personnel; during tunnel boring machine excavation, the construction environment is complex and changeable, and real-time monitoring data can help project managers better understand the current geological conditions and equipment status, so as to dynamically adjust the construction strategy, improve construction efficiency, and reduce construction delays; real-time risk assessment can help companies detect potential problems early, take preventive measures, avoid accidents, and help project managers better control costs, complete projects within budget, and improve investment benefits. Therefore, real-time risk assessment of tunnel boring machine excavation is of great significance.

[0003] At present, in the process of real-time risk assessment of tunnel boring machines, a single parameter is usually collected and evaluated, which is not comprehensive, resulting in low accuracy of real-time risk assessment of tunnel boring machines. Summary of the invention

[0004] The present invention provides a real-time risk assessment method for tunnel boring machine excavation.

[0005] According to a first aspect of the present disclosure, a real-time risk assessment method for tunnel boring machine excavation is provided. The method comprises:

[0006] Real-time acquisition of working parameters of the tunnel boring machine during excavation; the working parameters include the tunnel boring machine vibration frequency F, excavation speed V, hydraulic pump output pressure P and tool temperature;

[0007] According to the relationship between the vibration frequency F of the tunnel boring machine and the frequency threshold, the vibration risk level of the tunnel boring machine is determined;

[0008] The first adjustment of the tunneling speed V is made according to the vibration risk level of the tunnel boring machine;

[0009] After the first adjustment of V, the variance C of the hydraulic pump output pressure P within the preset time is calculated, and the stability risk level of the hydraulic pump output pressure P within the preset time is determined according to the variance C;

[0010] According to the stability risk level of the hydraulic pump output pressure P within the preset time, the excavation speed V is adjusted for the second time after the first adjustment.

[0011] Further, determining the vibration risk level of the tunnel boring machine according to the relationship between the tunnel boring machine vibration frequency F and the frequency threshold comprises:

[0012] If 0<F<F1, the risk level of the tunnel boring machine is determined to be the first vibration risk level; F1 is the first frequency threshold;

[0013] If F1≤F≤F2, the risk level of the tunnel boring machine is determined to be the second vibration risk level; F2 is the second frequency threshold;

[0014] If F>F2, the risk level of the tunnel boring machine is determined to be the third vibration risk level.

[0015] Furthermore, the first adjustment of the tunneling speed V according to the vibration risk level of the tunnel boring machine includes:

[0016] If the risk level of the tunnel boring machine is the first vibration risk level, V is adjusted for the first time by the first speed coefficient kv1 to obtain V1;

[0017] If the risk level of the tunnel boring machine is the second vibration risk level, V is adjusted for the first time by the second speed coefficient kv2 to obtain V2;

[0018] If the risk level of the tunnel boring machine is the third vibration risk level, V is adjusted for the first time by the third speed coefficient kv3 to obtain V3.

[0019] Further, after the first adjustment of V, the variance C of the hydraulic pump output pressure P within a preset time is calculated, and the stability risk level of the hydraulic pump output pressure P within the preset time is determined according to the variance C, including:

[0020] If 0<C<C1, it is determined that the stability risk level of the hydraulic pump output pressure P within the preset time is the first stability risk level; C1 is the first variance threshold;

[0021] If C1≤C≤C2, it is determined that the stability risk level of the hydraulic pump output pressure P within the preset time is the second stability risk level; C2 is the second variance threshold;

[0022] If C>C2, it is determined that the stability risk level of the hydraulic pump output pressure P within the preset time is the third stability risk level.

[0023] Furthermore, the second adjustment of the tunneling speed V after the first adjustment according to the stability risk level of the hydraulic pump output pressure P within the preset time includes:

[0024] If the stability risk level of the hydraulic pump output pressure P within the preset time is the first stability risk level, V1 is adjusted for the second time by the fourth speed coefficient kv4 to obtain V 11 Or adjust V2 a second time by the fourth speed coefficient kv4 to get V 21 Or adjust V3 a second time by the fourth speed coefficient kv4 to get V 31 ;

[0025] If the stability risk level of the hydraulic pump output pressure P within the preset time is the second stability risk level, V1 is adjusted for the second time by the fifth speed coefficient kv5 to obtain V 12 Or adjust V2 a second time by the fifth speed coefficient kv5 to get V 22 Or adjust V3 a second time by the fifth speed coefficient kv5 to get V 32 ;

[0026] If the stability risk level of the hydraulic pump output pressure P within the preset time is the third stability risk level, V1 is adjusted for the second time by the fourth speed coefficient kv4 to obtain V 13 Or adjust V2 a second time by the fourth speed coefficient kv4 to get V 23 Or adjust V3 a second time by the fourth speed coefficient kv4 to get V 33 .

[0027] Furthermore, the method further comprises:

[0028] If the risk level of the tunnel boring machine is the first vibration risk level, P is adjusted for the first time by the first pressure coefficient kp1 to obtain P1; if the risk level of the tunnel boring machine is the second vibration risk level, P is adjusted for the first time by the second pressure coefficient kp2 to obtain P2; if the risk level of the tunnel boring machine is the third vibration risk level, P is adjusted for the first time by the third pressure coefficient kp3 to obtain P3;

[0029] According to the temperature risk level of the tool, the output pressure P of the hydraulic pump which has been adjusted for the first time is adjusted for the second time.

[0030] Furthermore, the second adjustment of the output pressure P of the hydraulic pump adjusted for the first time according to the temperature risk level of the tool includes:

[0031] Get the temperature T of the tool;

[0032] If 0<T<T1, the temperature risk level of the tool is determined to be the first temperature risk level, and P1 is adjusted for the second time by the fourth pressure coefficient kp4 to obtain P 11 Or adjust P2 for the second time by the fourth pressure coefficient kp4 to obtain P 21 Or adjust P3 for the second time through the fourth pressure coefficient kp4 to obtain P 31 ;

[0033] If T1≤T≤T2, the temperature risk level of the tool is determined to be the second temperature risk level, and P1 is adjusted for the second time by the fifth pressure coefficient kp5 to obtain P 12 Or adjust P2 for the second time by the fifth pressure coefficient kp5 to obtain P 22 Or adjust P3 for the second time through the fifth pressure coefficient kp5 to obtain P 32 ;

[0034] If T>T2, the temperature risk level of the tool is determined to be the third temperature risk level, and P1 is adjusted for the second time through the sixth pressure coefficient kp6 to obtain P 13 Or adjust P2 for the second time by the sixth pressure coefficient kp6 to obtain P 23 Or adjust P3 for the second time through the sixth pressure coefficient kp6 to obtain P 33 .

[0035] According to a second aspect of the present disclosure, a real-time risk assessment device for tunnel boring machine excavation is provided. The device comprises:

[0036] An acquisition module is used to acquire the working parameters of the tunnel boring machine in real time during the tunneling process; the working parameters include the tunnel boring machine vibration frequency F, the tunneling speed V, the hydraulic pump output pressure P and the tool temperature;

[0037] A first determination module is used to determine the vibration risk level of the tunnel boring machine according to the relationship between the vibration frequency F of the tunnel boring machine and the frequency threshold;

[0038] A first adjustment module, used for making a first adjustment to the tunneling speed V according to the vibration risk level of the tunnel boring machine;

[0039] A second determination module is used to calculate the variance C of the hydraulic pump output pressure P within a preset time after the first adjustment of V, and determine the stability risk level of the hydraulic pump output pressure P within the preset time according to the variance C;

[0040] The second adjustment module is used to make a second adjustment to the tunneling speed V after the first adjustment according to the stability risk level of the hydraulic pump output pressure P within a preset time.

[0041] According to a third aspect of the present disclosure, an electronic device is provided. The electronic device includes: a memory and a processor, wherein a computer program is stored in the memory, and the method is implemented when the processor executes the program.

[0042] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and the program implements the method when executed by a processor.

[0043] The present disclosure can instantly grasp the working status of the tunnel boring machine by acquiring the working parameters of the tunnel boring machine in real time, ensuring timely identification of potential problems during the excavation process; based on the relationship between the vibration frequency and the frequency threshold, it can timely evaluate the vibration risk level of the tunnel boring machine, which is helpful for early warning and preventing possible equipment damage or safety accidents; by adjusting the excavation speed multiple times, not only the working efficiency of the tunnel boring machine is improved, but also it can be dynamically adjusted according to actual conditions to ensure the best excavation effect under different working conditions; by calculating the variance of the output pressure of the hydraulic pump to determine its stability risk level, it can effectively monitor the working stability of the hydraulic system and reduce the risks caused by hydraulic fluctuations; through the comprehensive analysis of the vibration frequency, excavation speed and output pressure of the tunnel boring machine, it is more comprehensive, thereby improving the accuracy of the real-time risk assessment of the tunnel boring machine.

[0044] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0046] Figure 1 A flow chart showing a real-time risk assessment method for tunnel boring machine excavation according to an embodiment of the present disclosure is shown;

[0047] Figure 2 A block diagram of a real-time risk assessment device for tunnel boring machine excavation according to an embodiment of the present disclosure is shown;

[0048] Figure 3 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0050] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0051] Figure 1 A flow chart of a real-time risk assessment method for tunnel boring machine excavation according to an embodiment of the present disclosure is shown, the method comprising:

[0052] S101, acquiring working parameters of the tunnel boring machine during the tunneling process in real time; the working parameters include the tunnel boring machine vibration frequency F, tunneling speed V, hydraulic pump output pressure P and tool temperature;

[0053] S102, determining a vibration risk level of the tunnel boring machine according to a relationship between a vibration frequency F of the tunnel boring machine and a frequency threshold;

[0054] S103, adjusting the tunneling speed V for the first time according to the vibration risk level of the tunnel boring machine;

[0055] S104, after the first adjustment of V, calculating the variance C of the hydraulic pump output pressure P within a preset time, and determining the stability risk level of the hydraulic pump output pressure P within the preset time according to the variance C;

[0056] S105, adjusting the tunneling speed V after the first adjustment for a second time according to the stability risk level of the hydraulic pump output pressure P within a preset time.

[0057] According to the embodiments of the present invention, by acquiring the working parameters of the tunnel boring machine in real time, the working status of the tunnel boring machine can be instantly grasped, ensuring that potential problems are identified in time during the excavation process; based on the relationship between the vibration frequency and the frequency threshold, the vibration risk level of the tunnel boring machine can be timely evaluated, which is helpful for early warning and preventing possible equipment damage or safety accidents; by adjusting the excavation speed multiple times, not only the working efficiency of the tunnel boring machine is improved, but it can also be dynamically adjusted according to actual conditions to ensure the best excavation effect under different working conditions; by calculating the variance of the output pressure of the hydraulic pump to determine its stability risk level, the working stability of the hydraulic system can be effectively monitored and the risks caused by hydraulic fluctuations can be reduced; through the comprehensive analysis of the vibration frequency, excavation speed and output pressure of the tunnel boring machine, it is more comprehensive, thereby improving the accuracy of the real-time risk assessment of the tunnel boring machine excavation.

[0058] In some embodiments, the vibration risk level of the tunnel boring machine is determined according to the relationship between the vibration frequency F of the tunnel boring machine and the frequency threshold, including: if 0<F<F1, the risk level of the tunnel boring machine is determined to be the first vibration risk level; F1 is the first frequency threshold; if F1≤F≤F2, the risk level of the tunnel boring machine is determined to be the second vibration risk level; F2 is the second frequency threshold; if F>F2, the risk level of the tunnel boring machine is determined to be the third vibration risk level. According to an embodiment of the present invention, by setting different frequency thresholds, the vibration risk level of the tunnel boring machine is clearly divided into three levels, so that the risk assessment is more systematic and executable, which is convenient for subsequent risk management and processing; according to the determination of different vibration risk levels, corresponding adjustments and countermeasures can be made quickly; the vibration state of the tunnel boring machine can be monitored in real time, and potential risks can be identified in time by continuously tracking the frequency; the classification of vibration risks provides data support, so that the construction team can make operational decisions more scientifically, optimize excavation parameters, improve construction efficiency and reduce accident risks; by monitoring the vibration frequency, preventive maintenance can be carried out before problems occur, thereby extending the service life of the tunnel boring machine and reducing downtime and maintenance costs caused by equipment failure.

[0059] In some embodiments, the first adjustment of the excavation speed V according to the vibration risk level of the tunnel boring machine includes: if the risk level of the tunnel boring machine is the first vibration risk level, V is first adjusted by the first speed coefficient kv1 to obtain V1; if the risk level of the tunnel boring machine is the second vibration risk level, V is first adjusted by the second speed coefficient kv2 to obtain V2; if the risk level of the tunnel boring machine is the third vibration risk level, V is first adjusted by the third speed coefficient kv3 to obtain V3. According to the embodiment of the present invention, by adjusting the excavation speed by using different speed coefficients for different vibration risk levels, the excavation speed can be accurately controlled according to the specific vibration risk level, thereby ensuring construction efficiency and safety; the information of the vibration risk level is fully utilized, and the system is automatically adapted to different vibration environments through an intelligent adjustment mechanism, thereby improving the adaptability and intelligence of the system, and thus improving the accuracy of the real-time risk assessment of the tunnel boring machine excavation.

[0060] In some embodiments, after the first adjustment of V, the variance C of the hydraulic pump output pressure P within the preset time is calculated, and the stability risk level of the hydraulic pump output pressure P within the preset time is determined according to the variance C, including: if 0<C<C1, the stability risk level of the hydraulic pump output pressure P within the preset time is determined to be the first stability risk level; C1 is the first variance threshold; if C1≤C≤C2, the stability risk level of the hydraulic pump output pressure P within the preset time is determined to be the second stability risk level; C2 is the second variance threshold; if C>C2, the stability risk level of the hydraulic pump output pressure P within the preset time is determined to be the third stability risk level. According to the embodiment of the present invention, the risk assessment is made more systematic and executable through the level division, which is convenient for subsequent risk management and processing.

[0061] In some embodiments, the second adjustment of the tunneling speed V after the first adjustment according to the stability risk level of the hydraulic pump output pressure P within the preset time includes: if the stability risk level of the hydraulic pump output pressure P within the preset time is the first stability risk level, V1 is adjusted for the second time by the fourth speed coefficient kv4 to obtain V 11 Or adjust V2 a second time by the fourth speed coefficient kv4 to get V 21 Or adjust V3 a second time by the fourth speed coefficient kv4 to get V 31 If the stability risk level of the hydraulic pump output pressure P within the preset time is the second stability risk level, V1 is adjusted for the second time by the fifth speed coefficient kv5 to obtain V 12 Or adjust V2 a second time by the fifth speed coefficient kv5 to get V 22Or adjust V3 a second time by the fifth speed coefficient kv5 to get V 32 If the stability risk level of the hydraulic pump output pressure P within the preset time is the third stability risk level, V1 is adjusted for the second time by the fourth speed coefficient kv4 to obtain V 13 Or adjust V2 a second time by the fourth speed coefficient kv4 to get V 23 Or adjust V3 a second time by the fourth speed coefficient kv4 to get V 33 .

[0062] In some embodiments, the method also includes: if the risk level of the tunnel boring machine is the first vibration risk level, P is adjusted for the first time through the first pressure coefficient kp1 to obtain P1; if the risk level of the tunnel boring machine is the second vibration risk level, P is adjusted for the first time through the second pressure coefficient kp2 to obtain P2; if the risk level of the tunnel boring machine is the third vibration risk level, P is adjusted for the first time through the third pressure coefficient kp3 to obtain P3; according to the temperature risk level of the tool, the hydraulic pump output pressure P that has been adjusted for the first time is adjusted for the second time.

[0063] In some embodiments, the second adjustment of the hydraulic pump output pressure P after the first adjustment according to the temperature risk level of the tool includes: obtaining the temperature T of the tool; if 0<T<T1, determining that the temperature risk level of the tool is the first temperature risk level, and adjusting P1 for the second time by the fourth pressure coefficient kp4 to obtain P 11 Or adjust P2 for the second time by the fourth pressure coefficient kp4 to obtain P 21 Or adjust P3 for the second time through the fourth pressure coefficient kp4 to obtain P 31 If T1≤T≤T2, the temperature risk level of the tool is determined to be the second temperature risk level, and P1 is adjusted for the second time through the fifth pressure coefficient kp5 to obtain P 12 Or adjust P2 for the second time by the fifth pressure coefficient kp5 to obtain P 22 Or adjust P3 for the second time through the fifth pressure coefficient kp5 to obtain P 32 If T>T2, the tool temperature risk level is determined to be the third temperature risk level, and P1 is adjusted for the second time through the sixth pressure coefficient kp6 to obtain P 13 Or adjust P2 for the second time by the sixth pressure coefficient kp6 to obtain P 23 Or adjust P3 for the second time through the sixth pressure coefficient kp6 to obtain P 33 .

[0064] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present disclosure.

[0065] The above is an introduction to the method embodiment. The following is a further explanation of the scheme disclosed in the present invention through an apparatus embodiment.

[0066] Figure 2 A block diagram of a real-time risk assessment device for tunnel boring machine excavation according to an embodiment of the present disclosure is shown, the device comprising:

[0067] An acquisition module 201 is used to acquire working parameters of the tunnel boring machine in real time during the tunneling process; the working parameters include the tunnel boring machine vibration frequency F, tunneling speed V, hydraulic pump output pressure P and tool temperature;

[0068] A first determination module 202, for determining a vibration risk level of the tunnel boring machine according to a relationship between a vibration frequency F of the tunnel boring machine and a frequency threshold;

[0069] A first adjustment module 203, configured to make a first adjustment to the tunneling speed V according to the vibration risk level of the tunnel boring machine;

[0070] The second determination module 204 is used to calculate the variance C of the hydraulic pump output pressure P within the preset time after the first adjustment of V, and determine the stability risk level of the hydraulic pump output pressure P within the preset time according to the variance C;

[0071] The second adjustment module 205 is used to make a second adjustment to the tunneling speed V after the first adjustment according to the stability risk level of the hydraulic pump output pressure P within a preset time.

[0072] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0073] In the technical solution disclosed herein, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0074] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

[0075] Figure 3A schematic block diagram of an electronic device that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0076] The electronic device includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM 302 or a computer program loaded from a storage unit 308 into a RAM 303. In the RAM 303, various programs and data required for the operation of the electronic device can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O interface 305 is also connected to the bus 304.

[0077] A number of components in the electronic device are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the electronic device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0078] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 301 performs the various methods and processes described above, such as a real-time risk assessment method for tunnel boring machine excavation. For example, in some embodiments, the real-time risk assessment method for tunnel boring machine excavation may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on an electronic device via ROM 302 and / or a communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of the real-time risk assessment method for tunnel boring machine excavation described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the real-time risk assessment method for tunnel boring machine excavation in any other appropriate manner (for example, by means of firmware).

[0079] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0080] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0081] In the context of the present disclosure, a readable storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A readable storage medium may be a machine-readable signal medium or a machine-readable storage medium. A readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0082] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0083] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communications network). Examples of communications networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0084] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0085] It should be understood that the above-mentioned various forms of processes can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solution of this disclosure can be achieved, and this document does not limit this.

[0086] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A real-time risk assessment method for tunnel boring machine excavation, characterized in that: include: Real-time acquisition of working parameters of the tunnel boring machine during excavation; the working parameters include the tunnel boring machine vibration frequency F, excavation speed V, hydraulic pump output pressure P and tool temperature; According to the relationship between the vibration frequency F of the tunnel boring machine and the frequency threshold, the vibration risk level of the tunnel boring machine is determined; The first adjustment of the tunneling speed V is made according to the vibration risk level of the tunnel boring machine; After the first adjustment of V, the variance C of the hydraulic pump output pressure P within the preset time is calculated, and the stability risk level of the hydraulic pump output pressure P within the preset time is determined according to the variance C; According to the stability risk level of the hydraulic pump output pressure P within the preset time, the excavation speed V is adjusted for the second time after the first adjustment.

2. The real-time risk assessment method for tunnel boring machine excavation according to claim 1, characterized in that: Determining the vibration risk level of the tunnel boring machine according to the relationship between the tunnel boring machine vibration frequency F and the frequency threshold comprises: If 0<F<F1, the risk level of the tunnel boring machine is determined to be the first vibration risk level; F1 is the first frequency threshold; If F1≤F≤F2, the risk level of the tunnel boring machine is determined to be the second vibration risk level; F2 is the second frequency threshold; If F>F2, the risk level of the tunnel boring machine is determined to be the third vibration risk level.

3. The real-time risk assessment method for tunnel boring machine excavation according to claim 2 is characterized in that: The first adjustment of the tunneling speed V according to the vibration risk level of the tunnel boring machine includes: If the risk level of the tunnel boring machine is the first vibration risk level, V is adjusted for the first time by the first speed coefficient kv1 to obtain V1; If the risk level of the tunnel boring machine is the second vibration risk level, V is adjusted for the first time by the second speed coefficient kv2 to obtain V2; If the risk level of the tunnel boring machine is the third vibration risk level, V is adjusted for the first time using the third speed coefficient kv3 to obtain V3.

4. The real-time risk assessment method for tunnel boring machine excavation according to claim 3 is characterized in that: After the first adjustment of V, the variance C of the hydraulic pump output pressure P within a preset time is calculated, and the stability risk level of the hydraulic pump output pressure P within the preset time is determined according to the variance C, including: If 0<C<C1, it is determined that the stability risk level of the hydraulic pump output pressure P within the preset time is the first stability risk level; C1 is the first variance threshold; If C1≤C≤C2, it is determined that the stability risk level of the hydraulic pump output pressure P within the preset time is the second stability risk level; C2 is the second variance threshold; If C>C2, it is determined that the stability risk level of the hydraulic pump output pressure P within the preset time is the third stability risk level.

5. The real-time risk assessment method for tunnel boring machine excavation according to claim 4, characterized in that: The second adjustment of the tunneling speed V after the first adjustment according to the stability risk level of the hydraulic pump output pressure P within the preset time includes: If the stability risk level of the hydraulic pump output pressure P within the preset time is the first stability risk level, V1 is adjusted for the second time by the fourth speed coefficient kv4 to obtain V 11 Or adjust V2 a second time by the fourth speed coefficient kv4 to get V 21 Or adjust V3 a second time by the fourth speed coefficient kv4 to get V 31 ; If the stability risk level of the hydraulic pump output pressure P within the preset time is the second stability risk level, V1 is adjusted for the second time by the fifth speed coefficient kv5 to obtain V 12 Or adjust V2 a second time by the fifth speed coefficient kv5 to get V 22 Or adjust V3 a second time by the fifth speed coefficient kv5 to get V 32 ; If the stability risk level of the hydraulic pump output pressure P within the preset time is the third stability risk level, V1 is adjusted for the second time by the fourth speed coefficient kv4 to obtain V 13 Or adjust V2 a second time by the fourth speed coefficient kv4 to get V 23 Or adjust V3 a second time by the fourth speed coefficient kv4 to get V 33 .

6. The real-time risk assessment method for tunnel boring machine excavation according to claim 1, characterized in that: The method further comprises: If the risk level of the tunnel boring machine is the first vibration risk level, P is adjusted for the first time by the first pressure coefficient kp1 to obtain P1; if the risk level of the tunnel boring machine is the second vibration risk level, P is adjusted for the first time by the second pressure coefficient kp2 to obtain P2; if the risk level of the tunnel boring machine is the third vibration risk level, P is adjusted for the first time by the third pressure coefficient kp3 to obtain P3; According to the temperature risk level of the tool, the output pressure P of the hydraulic pump which has been adjusted for the first time is adjusted for the second time.

7. The real-time risk assessment method for tunnel boring machine excavation according to claim 6, characterized in that: The second adjustment of the output pressure P of the hydraulic pump after the first adjustment according to the temperature risk level of the tool comprises: Get the temperature T of the tool; If 0<T<T1, the temperature risk level of the tool is determined to be the first temperature risk level, and P1 is adjusted for the second time by the fourth pressure coefficient kp4 to obtain P 11 Or adjust P2 for the second time by the fourth pressure coefficient kp4 to obtain P 21 Or adjust P3 for the second time through the fourth pressure coefficient kp4 to obtain P 31 ; If T1≤T≤T2, the temperature risk level of the tool is determined to be the second temperature risk level, and P1 is adjusted for the second time through the fifth pressure coefficient kp5 to obtain P 12 Or adjust P2 for the second time by the fifth pressure coefficient kp5 to obtain P 22 Or adjust P3 for the second time by the fifth pressure coefficient kp5 to obtain P 32 ; If T>T2, the temperature risk level of the tool is determined to be the third temperature risk level, and P1 is adjusted for the second time through the sixth pressure coefficient kp6 to obtain P 13 Or adjust P2 for the second time by the sixth pressure coefficient kp6 to obtain P 23 Or adjust P3 for the second time through the sixth pressure coefficient kp6 to obtain P 33 .

8. A real-time risk assessment device for tunnel boring machine excavation, characterized in that: include: An acquisition module is used to acquire the working parameters of the tunnel boring machine in real time during the tunneling process; the working parameters include the tunnel boring machine vibration frequency F, the tunneling speed V, the hydraulic pump output pressure P and the tool temperature; A first determination module is used to determine the vibration risk level of the tunnel boring machine according to the relationship between the vibration frequency F of the tunnel boring machine and the frequency threshold; A first adjustment module, used for making a first adjustment to the tunneling speed V according to the vibration risk level of the tunnel boring machine; A second determination module is used to calculate the variance C of the hydraulic pump output pressure P within a preset time after the first adjustment of V, and determine the stability risk level of the hydraulic pump output pressure P within the preset time according to the variance C; The second adjustment module is used to make a second adjustment to the tunneling speed V after the first adjustment according to the stability risk level of the hydraulic pump output pressure P within a preset time.

9. An electronic device, characterized in that: include: at least one processor; a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method of any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-7.

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