Intelligent cluster control system for tunnel construction equipment

Abstract

The invention discloses an intelligent cluster control system for tunnel construction equipment. The intelligent cluster control system comprises a terminal industrial personal computer, a cloud server and an edge end cluster controller, and the tunnel construction task management module of the terminal industrial personal computer can realize various functions of task establishment, query, modification and the like, and is convenient for managers to issue tasks. A resource data module of the cloud server collects and stores various construction related data; the intelligent scheduling module establishes a model according to tasks and data and generates an optimal construction scheme; and the instruction output module converts the scheme into an equipment operation instruction and sends the equipment operation instruction to the edge end cluster controller. And a plurality of control modules of the edge end cluster controller are used for controlling construction equipment groups such as tunneling, formwork erecting, reinforcing steel bar mounting, material distributing, vibrating and maintaining in real time. According to the invention, the problems of collaborative operation and efficient control of tunnel construction equipment are solved, intelligent management of construction tasks and automatic operation of the equipment are realized, and the construction efficiency and quality can be improved.

Description

Technical Field

[0001] This patent relates to tunnel structure construction in the field of civil engineering, and in particular to the safety, quality, and progress monitoring of the entire tunnel construction process. The system can realize intelligent cluster control of tunnel construction machinery and equipment, and complete the specified tunnel construction process with high efficiency and high quality. Background Art

[0002] Tunnels are structures buried in the earth, representing a form of human utilization of underground space. Tunnel construction equipment refers to the specialized machinery used for excavation, support, loading, material distribution, and transportation during tunnel construction. These primarily include tunnel boring equipment, tunnel construction trolleys, tunnel lining material distribution equipment, and tunnel lining concrete vibrating and maintenance equipment.

[0003] Currently, with the increasing scale of tunnel projects, a tunnel project is divided into multiple working faces for construction, each with a wide variety of construction machinery and equipment. Tunnel construction control is typically performed manually by professional operators using controllers at the construction site, lacking a coordinated linkage mechanism between the machinery and equipment within the same working face. The scheduling and control of tunnel construction equipment groups typically determines the next construction instruction based on a comprehensive analysis of factors such as project resources, machinery and equipment status, construction progress information, and tunnel construction methods. However, this control approach relies on manual decision-making based on experience, with adjustments made to specific circumstances based on actual influencing factors. When tunnel construction faces are numerous and the number of machinery and equipment is large, manual analysis and processing can be time-consuming and inefficient, impacting the efficiency and accuracy of construction machinery and equipment. With the continuous advancement of transportation infrastructure construction and the acceleration of urbanization, the demand for tunnel construction continues to grow, and with it, the demand for intelligent, coordinated control of tunnel construction equipment groups. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent cluster control system for tunnel construction equipment, which solves the problems of collaborative operation and efficient control of tunnel construction equipment, realizes intelligent management of construction tasks and automated operation of equipment, and can improve construction efficiency and quality.

[0005] The technical solution adopted by the present invention to solve this technical problem is: an intelligent cluster control system for tunnel construction equipment, characterized by comprising a terminal industrial computer, a cloud server and an edge cluster controller; The terminal industrial control computer is provided with a tunnel construction task management module for tunnel construction task management; The cloud server is provided with a resource data module, an intelligent scheduling module, and an instruction output module; the resource data module is used to receive, input, store, and update resource data related to tunnel construction, including: Project information includes the project's planned progress, current progress, progress deviations, work efficiency statistics, tunnel construction procedures, and equipment operation plans. Equipment data includes the types and quantities of existing construction machinery and equipment, their current working surface locations, real-time operating status and data, and working hours. Raw material data includes the types and quantities of materials, their current storage locations, and statistics on consumed and unconsumed quantities. Personnel data includes the types and quantities of existing construction personnel, their current working locations, and their job titles and responsibilities.

[0006] The intelligent scheduling module establishes a multi-parameter optimization intelligent scheduling model based on current construction tasks and resource data, automatically analyzes and matches current construction task goals, and generates the optimal work plan for tunnel construction, including the execution time and execution location of the working face process, the completion time of the process, and the connection relationship between processes.

[0007] Based on the intelligent scheduling results, the instruction output module converts the optimal construction work plan into operation instructions for various types of mechanical equipment, including the working surface layout, walking distance, operating time, operating actions, operating parameters, equipment coordination relationship, etc. of various types of equipment, and sends them to the edge cluster controller.

[0008] The edge cluster controller is provided with: Tunneling control module: used for real-time control of tunneling construction equipment groups, including equipment travel control, cutting head speed control, positioning and cutting range control, equipment operating time, etc.

[0009] Formwork control module: used for real-time control of the tunnel lining formwork trolley group, including the travel and installation control of the formwork trolley (installation) equipment, formwork equipment operating parameters, equipment operating time, etc.

[0010] Rebar control module: used for real-time control of the rebar erection and installation equipment group, including installation control of rebar erection and installation equipment, operating parameters of rebar erection and installation equipment, equipment operating time, etc.

[0011] Material placing control module: used for real-time control of the tunnel lining material placing equipment group, including equipment station movement control, material placing switch control, material placing volume control, material placing equipment operating time, etc.

[0012] Vibration control module: used for real-time control of tunnel lining concrete vibration equipment group, including equipment station movement control, vibration switch control, vibration depth control, vibration operation parameters and equipment operation time, etc.

[0013] Maintenance control module: used for real-time control of the tunnel lining concrete maintenance equipment group, including the switch and operating parameters of the concrete curing equipment, the switch and operating parameters of the steam curing equipment, and the equipment operating time.

[0014] As a further solution of the present invention, the tunnel construction task management includes establishing construction tasks, which include parameters such as the construction progress, duration, required operators, machinery and equipment, and resource consumption of each working face. It also includes querying, modifying, deleting, reviewing, dispatching, and retrieving tasks, as well as setting task personnel and task permissions. The purpose is for managers to issue work tasks to the control system based on project goals.

[0015] As a further solution of the present invention, when a construction task is established, it needs to be reviewed by the corresponding permission user role; when a task is modified, the resource data required for the task needs to be re-queried and reviewed by the corresponding permission user role; when a task is deleted, it also needs to be reviewed by the corresponding permission user role.

[0016] As a further solution of the present invention, the project information is stored in the cloud server through data entry or file import; the equipment data is transmitted to the cloud server through a PLC gateway, 4G wireless network or serial port wired interface; the raw material data and personnel data are stored in the cloud server through data entry or file import.

[0017] As a further solution of the present invention, when the intelligent scheduling module establishes a scheduling target, it obtains the current task target from the resource data module and counts the target data based on the working face; when establishing a scheduling variable, it obtains the current scheduling-related variables; when establishing a scheduling constraint, it obtains the personnel, equipment, and raw material configuration requirements of each working face process, as well as equipment operation restrictions and process sequence constraints.

[0018] As a further solution of the present invention, after the instruction output module receives the decision plan of the intelligent scheduling module, it parses the instructions according to the equipment group data and operating parameters. When processing the instructions, it involves equipment group data calculation, system operation and control instructions, and finally generates an output result including equipment working surface layout, walking distance and other contents, and sends it to the edge cluster controller in a specified format.

[0019] As a further solution of the present invention, the control of the tunnel excavation construction equipment group by the excavation control module includes equipment travel control, cutting head speed control, positioning cutting range control and equipment running time control.

[0020] As a further solution of the present invention, the control of the tunnel lining formwork trolley group by the formwork control module includes the travel and installation control of the formwork trolley, the operation parameter control of the formwork equipment and the operation time control of the equipment.

[0021] As a further solution of the present invention, the control of the tunnel lining material distribution equipment group by the material distribution control module includes equipment station movement control, material distribution switch control, material distribution volume control and equipment operation time control.

[0022] As a further solution of the present invention, the control of the tunnel lining concrete curing equipment group by the curing control module includes the control of the curing machine switch and operating parameters of the concrete curing equipment, the control of the switch and operating parameters of the steam curing equipment, and the control of the equipment operating time.

[0023] The present invention has at least the following beneficial effects: (1) Real-time collection of equipment group information: Upgrading equipment data collection to real-time automatic collection will reduce labor costs and construction time, and improve the efficiency and accuracy of equipment data interaction. Currently, equipment data is still manually viewed on-site and cannot be online or real-time.

[0024] (2) Automatic analysis and processing of the optimal construction plan: After obtaining the real-time collected equipment data and resource data, a series of logical analyses are completed based on the current resource situation and task objectives to automatically determine the optimal construction plan, evaluate the feasibility of the plan, and convert the plan into equipment cluster control instructions through the command output module, reducing labor costs and construction time, improving work efficiency, and reducing construction safety risks. Currently, construction management decisions are made manually and rely too much on human experience. When there are many types of equipment and a large number of them, the efficiency is low.

[0025] (3) Use edge controllers for classified cluster control: Edge-end cluster controllers have the advantages of low data transmission latency and high speed. They output cluster control instructions to the equipment PLC control system, efficiently completing the execution of multiple work surfaces, multiple types, and a large number of construction equipment. Currently, equipment control work is still manually operated, which is prone to errors, inefficient, and poses safety risks.

[0026] Other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a structural diagram of the intelligent cluster control system for tunnel construction equipment of the present invention. DETAILED DESCRIPTION

[0028] The present invention is described in detail and completely below with reference to the accompanying drawings. Those skilled in the art will be able to implement the present invention based on this description. Before describing the present invention with reference to the accompanying drawings, it should be noted that the technical solutions and technical features provided in various parts of the present invention, including those described below, may be combined with each other unless they conflict.

[0029] In addition, the embodiments of the present invention described below are generally only part of the embodiments of the present invention, rather than all of the embodiments. Therefore, based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making any creative efforts should fall within the scope of protection of the present invention.

[0030] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. The specific implementation process is as follows: 1. System composition This patent discloses an intelligent cluster control system for tunnel construction equipment, which includes the following three parts and 10 modules: 1. Terminal industrial computer (1) Tunnel construction task management module 2. Cloud Server (2) Resource data module (3) Intelligent scheduling module (4) Command output module 3. Edge Cluster Controller (5) Tunneling control module (6) Moulding control module (7) Rebar control module (8) Fabric control module (9) Vibration control module (10) Maintenance control module like Figure 1 As shown in the figure, (1) the tunnel construction task management module is deployed on the terminal industrial computer, (2) the resource data module (3) the intelligent scheduling module (4) the instruction output module is deployed on the cloud server, and (5) the excavation control module (6) the formwork control module (7) the steel bar control module (8) the material distribution control module (9) the vibration control module (10) the maintenance control module is deployed on the edge cluster controller.

[0031] 2. Connection method of each module Connection method between modules: The terminal industrial computer, cloud server, edge cluster controller and tunnel construction machinery and equipment group are connected using wired or wireless network transmission.

[0032] (1) The module is deployed on the terminal industrial computer using a computer program; (2) (3) (4) Information is transmitted between modules using internal program calls; · (5) (6) (7) (8) (9) (10) transmit information by reading from the server hard disk.

[0033] 3. System Implementation 1. Terminal industrial computer The terminal industrial computer is one or more high-performance dedicated computers, equipped with corresponding network connection equipment and display equipment. It is installed at the construction site or engineering management location to provide construction management personnel with a user interaction platform with the tunnel construction equipment cluster control system.

[0034] (1) The tunnel construction task management module is installed as a computer program on the terminal industrial computer and is used for tunnel construction task management, including tasks creation, task query, task modification, task deletion, task review, task dispatch, task recall, task personnel setting, task authority setting and other functions. The purpose is for the management personnel to issue work tasks to the control system according to the project goals.

[0035] Task Establishment: Managers establish construction tasks based on the project's progress and objectives. Tasks can be divided into overall construction tasks and sub-tasks, including daily, weekly, and monthly tasks for each work surface. Tasks include parameters such as the current construction progress and duration required for each work surface, as well as the required operators, machinery, and resource consumption. Task establishment requires review by the appropriate user role.

[0036] Task Query: Query established construction tasks, including task execution progress, execution time, execution personnel, execution machinery and equipment, etc. Different permission levels can be queried based on personnel permissions.

[0037] Task Modification: This function allows you to modify existing construction tasks, including information such as the execution progress, execution time, execution personnel, and execution machinery and equipment. Data at different permission levels can be modified based on personnel permissions. Task modifications generally require re-querying the required resource data. Task modifications require review by the corresponding user role.

[0038] Task deletion: Delete the established construction tasks. Task deletion requires approval by the corresponding permission user role.

[0039] Task review: The user role with the required permissions should review the processes of task creation, task modification, task deletion, and task distribution.

[0040] Task dispatch: Select the corresponding site / work surface person in charge based on the established construction tasks. After successful dispatch, the task person in charge will receive the corresponding task information.

[0041] Task retrieval: According to the person in charge of the site / work surface who has established the construction task, the relevant task dispatch information will be deleted after the task is retrieved, and the task person in charge will have the corresponding task information retrieved.

[0042] Task personnel settings: add, delete, modify task personnel information, and modify personnel authority levels.

[0043] Task authority setting: Set task authority levels according to engineering classification such as projects, sections, and work surfaces.

[0044] 2. Cloud Server A cloud server is one or more high-performance, dedicated computers deployed in an Internet data center that can independently provide computing, storage, online backup, hosting, bandwidth, and other Internet infrastructure services. (2) Resource data module (3) Intelligent scheduling module (4) Command output module are deployed on the cloud server, and information is transmitted between modules using internal program calls.

[0045] (1) The resource data module is used to receive, enter, store and update tunnel construction related resource data, providing a data basis for subsequent module functions.

[0046] ① Project information includes basic project information, construction design drawings, construction schedule, current progress of each working face, progress deviations for each working face, work efficiency statistics for each working face and equipment, tunnel construction procedures and equipment connection procedures, and equipment operation plans and schedules. Project information can be stored in the corresponding data storage unit of the cloud server through data entry and file import.

[0047] ② Equipment data includes the types and quantity of existing construction machinery and equipment in the project, the current working surface location, real-time operating status and data, working time statistics, etc. Equipment data can be connected to the cloud server through PLC gateway, 4G wireless network or serial port wired interface.

[0048] ③ Raw material data includes the types and quantities of construction raw materials such as cement, sand, gravel, and steel bars, current storage locations, production data including statistics on consumed and unconsumed quantities, concrete production volume and time, etc.; project information can be stored in the corresponding data storage unit of the cloud server through data entry and file import.

[0049] ④ The operator data includes the types and number of existing construction personnel, the current operation location, the number of professional operators and managers required for different types of equipment, job titles and responsibilities; the project operator information can be stored in the corresponding data storage unit of the cloud server through data entry and file import.

[0050] (2) Intelligent Scheduling Module: The intelligent scheduling module is a module that uses artificial intelligence technology to intelligently schedule and arrange construction tasks, work, or activities. This module automatically generates the optimal scheduling plan based on certain specified conditions and constraints, such as resources, personnel, equipment types and quantities, construction time, process priority, etc., thereby improving work efficiency and resource utilization. It is used to establish a multi-parameter optimization intelligent scheduling model based on the current construction tasks and resource data, automatically analyze and match the current construction task goals, and generate the optimal work plan for tunnel construction, including the execution time of the working face process, the execution location, the completion time of the process, and the connection relationship between processes.

[0051] The steps for smart scheduling are as follows: ① Establish scheduling goals: obtain current task goals from the resource data module, including construction progress goals, construction period goals, construction process connection goals and other data, and count the target data of each construction site based on the working surface.

[0052] ② Establish scheduling variables: Obtain current scheduling-related variables from the resource data module, including the total length of the tunnel, the length of each working face of the tunnel, the types and quantity of tunnel machinery and equipment, the composition and duration of tunnel construction processes, the start and completion time of each process on each working face, and the transportation and circulation time of tunnel construction equipment.

[0053] ③ Establish scheduling constraints: Obtain the current scheduling constraints from the resource data module, including: Each process on each work surface requires minimum staffing, equipment, and raw materials; Each process on each work surface requires a predetermined type and quantity of machinery and equipment to complete the operation; Each device can only operate on one working surface at the same time; The operation process of each work surface is subject to its own process sequence constraints, and there are no constraints between different work surfaces; The main construction machinery and equipment on the same working surface are arranged at the working points according to the process sequence.

[0054] ④ Establish a scheduling analysis model: For n working faces, their composition is G = {G1, G2, ..., Gn}. Each working face contains i processes, and their composition is X = {X1, X2, ..., Xi}. All tunnel construction equipment groups are grouped into a set M = {M11, M12, ..., Mjk} according to type j and quantity k. Construction machinery and equipment groups are assigned to the j-th process Xij of working face i. The completion time Tij of process Xij can be determined. The total construction time of all processes of working face i is Ti. Different scheduling schemes (i.e., assigning different combinations of machinery and equipment types and quantities to each process of each working face) will produce different total construction times Ti for all processes of the working face. A computer program is used to analyze and calculate all scheduling schemes and verify whether they meet the constraints. When the total construction time Ti of all processes of all working faces is minimized and meets the target requirements, the corresponding scheduling scheme is the optimal result, including the execution time, execution location, completion time, and connection relationship between processes of the working face.

[0055] (3) Command output module: The command output module is a module within a system or program that processes and executes input commands and generates corresponding output results. When a user or other system enters a command through an input device (such as a keyboard, mouse, or sensor), the command output module parses and processes the input command and generates the corresponding output result or response. This module is used to convert the optimal construction work plan based on the current intelligent scheduling results into operating instructions for various mechanical equipment, including the layout of the working surface of each equipment, travel distance, operating time, operating actions, operating parameters, and equipment coordination relationships. These instructions are then sent to the edge cluster controller in a specified format.

[0056] The workflow of the instruction output module includes the following steps: ① Receive input of intelligent scheduling plan: Receive the decision plan sent by the intelligent scheduling module, which may include information such as the execution time of the working surface process, the execution location, the completion time of the process, and the connection relationship between processes.

[0057] ② Parsing instructions: Parse the input instructions according to various types of equipment group data and equipment operating parameters, identify the type, format and content of the instructions, and output equipment group control instructions.

[0058] ③Processing instructions: Execute corresponding processing logic according to the content and requirements of the instructions, involving data calculation, system operation, control instructions, etc. of various types of construction equipment groups. The purpose is to achieve the effect of completing the intelligent scheduling plan through the behavior control of the equipment group.

[0059] ④Generate output: Generate corresponding output results or responses based on the processing results, including the working surface layout of various types of equipment, walking distance, operating time, operating actions, operating parameters, equipment coordination relationships, etc., and send them to the edge cluster controller in the specified format.

[0060] 3. Edge Cluster Controller The edge cluster controller refers to a system or software component located at the edge computing node or edge device end, which is used to manage and coordinate multiple tunnel construction equipment groups at the edge end to achieve more efficient edge computing resource utilization and on-site work deployment of application equipment. Through the management and scheduling of the edge cluster controller, the collaborative work of edge computing resources can be achieved. It is connected to the equipment control module through the PLC circuit to achieve the purpose of tunnel construction equipment cluster control.

[0061] The edge cluster controller has the following functions: ① Device resource allocation: The edge cluster controller is responsible for monitoring and managing the resource utilization of edge computing nodes, including computing resources, storage resources, network resources, etc., to achieve dynamic allocation and scheduling of resources.

[0062] ② Control instruction scheduling: Based on instruction data and node resource conditions, the edge cluster controller can schedule and allocate tasks, distributing them to appropriate computing nodes for execution to achieve efficient execution of tasks.

[0063] ③Control data management: The edge cluster controller can manage and control data transmission, synchronize and exchange data between edge computing nodes or with the central cloud to improve data processing efficiency and reduce data transmission delay.

[0064] ④System security: The edge cluster controller needs to ensure that the communication and data transmission between edge devices and nodes are secure and reliable to prevent security issues such as data leakage and network attacks.

[0065] ⑤ System scalability: The edge cluster controller should have good scalability and be able to support the access and management of large-scale edge computing nodes to adapt to the growing edge computing needs.

[0066] The edge cluster controller functional modules include: (1) Excavation control module: used for real-time control of tunnel excavation construction equipment, including equipment working face and specific operation location, equipment travel control, cutting head speed control, positioning cutting range control, equipment operation time, etc.

[0067] (2) Formwork control module: used for real-time control of the tunnel lining formwork trolley group, including the equipment working surface and specific work location, the movement and installation control of the formwork trolley (installation) equipment, the formwork equipment operating parameters, the equipment operating time, etc.

[0068] (3) Rebar control module: used for real-time control of the rebar erection and installation equipment group, including the equipment working surface and specific work location, installation control of the rebar erection and installation equipment, operating parameters of the rebar erection and installation equipment, equipment operating time, etc.

[0069] (4) Material distribution control module: used for real-time control of the tunnel lining material distribution equipment group, including the equipment working surface and specific work location, equipment station movement control, material distribution switch control, material distribution volume control, material distribution equipment operation time, etc.

[0070] (5) Vibration control module: used for real-time control of the tunnel lining concrete vibration equipment group, including the equipment working surface and specific work location, equipment station movement control, vibration switch control, vibration depth control, vibration operation parameters and equipment operation time, etc.

[0071] (6) Maintenance control module: used for real-time control of the tunnel lining concrete maintenance equipment group, including the equipment working surface and specific operation location, the maintenance machine switch and operating parameters of the concrete maintenance equipment, the switch and operating parameters of the steam maintenance equipment, the equipment operation time, etc.

[0072] Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the description and implementation methods. They can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to the specific details and embodiments shown and described herein.

Claims

1. An intelligent cluster control system for tunnel construction equipment, characterized in that: Including terminal industrial computers, cloud servers and edge cluster controllers; The terminal industrial control computer is provided with a tunnel construction task management module for tunnel construction task management; The cloud server is equipped with a resource data module, an intelligent scheduling module, and an instruction output module; the resource data module is used to receive, enter, store, and update tunnel construction-related resource data, including project information, equipment data, raw material data, and personnel data; the intelligent scheduling module establishes a multi-parameter optimization intelligent scheduling model based on current construction tasks and resource data to generate the optimal tunnel construction work plan; the instruction output module converts the optimal construction work plan into various mechanical equipment operation instructions based on the intelligent scheduling results and sends them to the edge cluster controller; The edge cluster controller is equipped with a tunneling control module, a formwork control module, a steel bar control module, a material distribution control module, a vibration control module and a maintenance control module, which are respectively used for real-time control of the tunnel tunneling construction equipment group, the tunnel lining formwork trolley group, the steel bar erection and installation equipment group, the tunnel lining material distribution equipment group, the tunnel lining concrete vibration equipment group and the tunnel lining concrete maintenance equipment group.

2. The intelligent cluster control system for tunnel construction equipment according to claim 1, characterized in that: The tunnel construction task management includes establishing construction tasks, and also includes querying, modifying, deleting, reviewing, dispatching, and retrieving tasks, as well as setting task personnel and task permissions.

3. The intelligent cluster control system for tunnel construction equipment according to claim 2, characterized in that: When a construction task is established, it must be reviewed by the corresponding permission user role; when a task is modified, the resource data required for the task must be re-queried and reviewed by the corresponding permission user role; when a task is deleted, it must also be reviewed by the corresponding permission user role.

4. The intelligent cluster control system for tunnel construction equipment according to claim 1, characterized in that: The project information is stored in the cloud server through data entry or file import; the equipment data is transmitted to the cloud server; the raw material data and personnel data are stored in the cloud server through data entry or file import.

5. The intelligent cluster control system for tunnel construction equipment according to claim 1, characterized in that: When the intelligent scheduling module establishes a scheduling target, it obtains the current task target from the resource data module and counts the target data based on the working face; when establishing a scheduling variable, it obtains the current scheduling-related variables; when establishing a scheduling constraint, it obtains the personnel, equipment, and raw material configuration requirements of each working face process, as well as equipment operation restrictions and process sequence constraints.

6. The intelligent cluster control system for tunnel construction equipment according to claim 1, characterized in that: After receiving the decision plan of the intelligent scheduling module, the instruction output module parses the instructions according to the equipment group data and operating parameters. When processing the instructions, it involves equipment group data calculation, system operation and control instructions. Finally, it generates an output result including the equipment working surface layout and walking distance, and sends it to the edge cluster controller in a specified format.

7. The intelligent cluster control system for tunnel construction equipment according to claim 1, characterized in that: The tunneling control module controls the tunneling construction equipment group including equipment travel control, cutting head speed control, positioning cutting range control and equipment running time control.

8. The intelligent cluster control system for tunnel construction equipment according to claim 1, characterized in that: The control of the tunnel lining formwork trolley group by the formwork control module includes the travel and installation control of the formwork trolley, the operation parameter control of the formwork equipment and the equipment operation time control.

9. The intelligent cluster control system for tunnel construction equipment according to claim 1, characterized in that: The control of the tunnel lining material distribution equipment group by the material distribution control module includes equipment station movement control, material distribution switch control, material distribution volume control and equipment operation time control.

10. The intelligent cluster control system for tunnel construction equipment according to claim 1, characterized in that: The control of the tunnel lining concrete curing equipment group by the curing control module includes the control of the curing machine switch and operating parameters of the concrete curing equipment, the control of the switch and operating parameters of the steam curing equipment, and the control of the equipment operating time.

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