CN114118548A - Tunnel boring machine maintenance resource cooperative scheduling method and system - Google Patents

Tunnel boring machine maintenance resource cooperative scheduling method and system Download PDF

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CN114118548A
CN114118548A CN202111349160.3A CN202111349160A CN114118548A CN 114118548 A CN114118548 A CN 114118548A CN 202111349160 A CN202111349160 A CN 202111349160A CN 114118548 A CN114118548 A CN 114118548A
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任颖莹
李凤远
曾垂刚
韩伟锋
江南
李叔敖
周振建
何蒙蒙
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State Key Laboratory of Shield Machine and Boring Technology
China Railway Tunnel Group Co Ltd CRTG
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China Railway Tunnel Group Co Ltd CRTG
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Abstract

The invention discloses a method and a system for collaborative scheduling of maintenance resources of a tunnel boring machine, wherein the method comprises the following steps: the method comprises the steps of information resource acquisition, information storage, information processing analysis and maintenance resource cooperative scheduling service application. The system comprises an information acquisition module, a data transmission and storage module, an information processing and analysis module and a maintenance resource scheduling module, wherein the maintenance resource scheduling module comprises a project resource management subsystem, a resource scheduling cooperative decision subsystem and a supplier subsystem, and health assessment and maintenance resource cooperative scheduling of the tunneling machine equipment are realized. The invention combines the equipment state with the spare part demand prediction, adopts the strategy of predicting the spare part consumption before maintenance, realizes the joint decision and dynamic feedback among projects, and can effectively and reasonably supply maintenance resources in time.

Description

Tunnel boring machine maintenance resource cooperative scheduling method and system
Technical Field
The invention relates to the technical field of tunnel boring machine control, in particular to a method and a system for collaborative scheduling of maintenance resources of a tunnel boring machine.
Background
The tunnel boring machine is complex in structure, key parts are diversified, spare parts of the tunnel boring machine often need a large amount of capital support and inventory occupation, resource waste can be caused if the spare parts are too much in inventory, the requirement cannot be met if the spare parts are too little, and normal and stable operation of equipment is influenced. The existing maintenance spare parts of the tunnel boring machine are mainly responsible for material supply management of all project departments, and requirements and storage quantity of the spare parts all depend on subjective experience, so that the condition that equipment is stopped due to failure and maintenance resources are not in place easily occurs.
The current development of the internet of things, big data and cloud computing technology provides powerful conditions for breaking information barriers among projects and changing the cooperative management mode of accessories. If the requirements of the key parts of the shield can be effectively predicted, and the characteristics of long purchase period of the parts are combined, the dynamic inventory and allocation of the parts of the shield are realized, the resource allocation efficiency of the tunnel boring machine in the maintenance process can be effectively improved, and the cost is reduced.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method and a system for collaborative scheduling of maintenance resources of a tunnel boring machine. The equipment state, spare part prediction, resource cooperative scheduling, supply and the like are combined, dynamic inventory management and resource allocation of the tunnel boring machine are realized through a data + model, and production decision and operation and maintenance service of the tunnel boring machine are enabled.
In order to solve the technical problems, the invention adopts the following technical scheme:
a collaborative scheduling method for maintenance resources of a tunnel boring machine is designed, and comprises the following steps:
(1) collecting information resources, wherein the information resources comprise item information and supplier information; the information of the project part comprises basic equipment information, historical fault maintenance records, equipment state parameters, health assessment fault prediction information, maintenance and maintenance spare part information, maintenance resource demand information and transportation information, wherein the equipment state parameters and the health assessment fault prediction information are acquired in real time through a data acquisition system, and other information is acquired periodically; the supplier information comprises basic information, supply resource information, resource inventory condition, supply capacity condition and transportation information, and is updated regularly;
(2) information storage, namely transmitting the item information and the supplier information obtained in the step (1) to a professional database server for storage management, storing various data in a proper format, and providing support for subsequent data analysis and data application;
(3) information processing and analysis, namely calling, modifying and updating the information, enabling the information to be fused and shared in a maintenance decision system, and performing fusion comparison analysis on data;
(4) and the service application is used for realizing application functions including real-time monitoring of the state of the tunnel boring machine, early warning of fault information, prediction of spare part requirements, pushing of scheduling decision information and pushing of maintenance experience according to analysis of various information.
The invention also relates to a maintenance resource cooperative scheduling system of the tunnel boring machine, which is used for realizing the maintenance resource cooperative scheduling method of the tunnel boring machine, and the system comprises the following components:
the information acquisition module: acquiring state and health evaluation fault prediction information of the tunnel boring machine in real time, and acquiring other service data regularly;
data transmission and storage: classifying and storing the data according to a specified format;
the information processing and analyzing module: carrying out preliminary preprocessing and data analysis on the information;
a maintenance resource scheduling module: and according to the analysis of the system on various information, giving out an optimal scheduling decision of the maintenance resources.
Optionally, the maintenance resource scheduling module includes a project resource management subsystem, a resource scheduling cooperative decision subsystem, and a supplier subsystem.
Optionally, the project resource management subsystem is configured to enter relevant information of an update project part, refer to a real-time state of tunnel boring machine equipment, and give a fault warning message; when a spare part is required, issuing resource requirements; and when the key parts have faults, checking the maintenance resource supply scheme pushed by the decision-making system and the pushed maintenance scheme.
Optionally, the resource scheduling cooperative decision making subsystem is configured to implement failure prediction, inventory configuration optimization decision, part replenishment decision, resource scheduling decision, and supply decision, and includes a spare part demand prediction module, a scheduling decision module, and a maintenance experience support module.
Optionally, the spare part demand prediction module is configured to receive real-time fault early warning information of each project department and provide a demand prediction of maintenance resources.
Optionally, the scheduling decision module is configured to check a condition of an accessory of each project, an inventory condition of a provider, and a supply capacity, provide a resource scheduling maintenance decision scheme, send a supply task to the provider after a project is confirmed, and send a maintenance resource scheduling task to the project.
Optionally, the maintenance experience support module is configured to collect maintenance experience information of tunneling machine equipment of each project department, form a knowledge base, and provide reference for excellent maintenance experience pushed by the project department according to fault early warning information of the project department.
Optionally, the provider subsystem is configured to enable a provider to publish its own product and service provision capability through the system, view a provision task given by the decision making system, and perform a supply order.
The invention also relates to a computer storage medium having stored thereon a computer program for execution by a processor for implementing the above-mentioned method.
The method and the system for cooperatively scheduling the maintenance resources of the tunnel boring machine comprise an information resource layer, an information storage layer, an information processing and analyzing layer and a maintenance resource cooperative scheduling service application layer. The information resource layer is used for realizing the acquisition of information resources, and comprises basic equipment information, historical fault maintenance records, equipment state parameters, health assessment fault prediction information, maintenance spare part information, maintenance resource demand information, transportation information, basic supplier information, supply resource information, resource inventory condition, supply capacity condition and transportation information of a project; the information storage layer and the information processing analysis layer are used for storing, processing and analyzing the data of the information resource layer; the service application layer comprises a project resource management subsystem, a resource scheduling cooperative decision subsystem and a supplier subsystem, and health assessment and maintenance resource cooperative scheduling of the tunnel boring machine equipment are achieved. The invention combines the equipment state with the spare part demand prediction, adopts the strategy of predicting the spare part consumption before maintenance, realizes the joint decision and dynamic feedback among projects, and can effectively and reasonably supply maintenance resources in time.
Compared with the prior art, the invention has the beneficial effects that:
the maintenance resource information of each project part is fully shared through the system, and all resources are provided for the required project part at the specified time according to the demand quantity through the analysis and calculation of the system on the basis of accurate prediction of the demand of each project spare part. By sharing the information of the suppliers, the supply state of equipment maintenance resources is improved, the total logistics cost is reduced, and the service efficiency and level of the equipment maintenance resource supply at the project department are improved. The system can break through information islands between traditional project departments and between suppliers, provides support for scientific operation and maintenance management decisions of the existing tunnel boring machine, realizes health assessment of key parts of the tunnel boring machine and timely and appropriate supply of maintenance resources, reduces equipment outage rate and reduces operation and maintenance cost.
Drawings
FIG. 1 is a structural framework diagram of a tunnel boring machine maintenance resource cooperative scheduling system of the present invention;
fig. 2 is a service pattern diagram implemented by the tunnel boring machine maintenance resource cooperative scheduling system of the present invention.
Detailed Description
The following examples are given to illustrate specific embodiments of the present invention, but are not intended to limit the scope of the present invention in any way. The elements of the apparatus referred to in the following examples are conventional elements of the apparatus unless otherwise specified.
Example 1: a collaborative scheduling method for maintenance resources of a tunnel boring machine comprises the following steps:
(1) collecting information resources, wherein the information resources comprise item information and supplier information; the information of the project part comprises basic equipment information, historical fault maintenance records, equipment state parameters, health assessment fault prediction information, maintenance and maintenance spare part information, maintenance resource demand information and transportation information, wherein the equipment state parameters and the health assessment fault prediction information are acquired in real time through a data acquisition system, and other information is acquired periodically; the supplier information comprises basic information, supply resource information, resource inventory condition, supply capacity condition and transportation information, and is updated regularly;
(2) information storage, namely transmitting the item information and the supplier information obtained in the step (1) to a professional database server for storage management, storing various data in a proper format, and providing support for subsequent data analysis and data application;
(3) information processing and analysis, namely calling, modifying and updating the information, enabling the information to be fused and shared in a maintenance decision system, and performing fusion comparison analysis on data;
(4) and the service application is used for realizing application functions including real-time monitoring of the state of the tunnel boring machine, early warning of fault information, prediction of spare part requirements, pushing of scheduling decision information and pushing of maintenance experience according to analysis of various information.
Example 2: a maintenance resource cooperative scheduling system of a tunnel boring machine is used for realizing the maintenance resource cooperative scheduling method of the tunnel boring machine in embodiment 1, and the system comprises:
the information acquisition module: acquiring state and health evaluation fault prediction information of the tunnel boring machine in real time, and acquiring other service data regularly;
data transmission and storage: classifying and storing the data according to a specified format;
the information processing and analyzing module: carrying out preliminary preprocessing and data analysis on the information;
a maintenance resource scheduling module: and according to the analysis of the system on various information, giving out an optimal scheduling decision of the maintenance resources.
The maintenance resource scheduling module comprises a project resource management subsystem, a resource scheduling cooperative decision subsystem and a supplier subsystem.
Specifically, the whole system is mainly a maintenance resource cooperative decision subsystem, and respective small systems are established aiming at the project department and the supplier management. The project department and the supplier only need to log in the own small system, and the respective task requirements can be met. The two small systems are mutually linked with the main system, and are mutually independent and mutually related in data processing, so that a completed data fusion sharing system is formed, and the main system can coordinate projects and suppliers.
The project resource management subsystem is used for inputting and updating relevant information of a project part, referring to the real-time state of tunnel boring machine equipment and fault early warning information; when a spare part is required, issuing resource requirements; and when the key parts have faults, checking the maintenance resource supply scheme pushed by the decision-making system and the pushed maintenance scheme.
Specifically, the project management subsystem includes health assessment and maintenance resource demand push functions. The health evaluation module carries out real-time fault prediction on the key parts by acquiring the state information of the key parts in real time on line, predicts the residual life of the key parts and determines the maintenance time; and when fault early warning information occurs, feeding the information back to the scheduling decision center. And the maintenance resource demand function is used for solving the resource demand provided by the project department according to the running condition of the equipment of the project department.
The resource scheduling cooperative decision subsystem is used for realizing fault prediction, inventory configuration optimization decision, part replenishment decision, resource scheduling decision and supply decision, and comprises a spare part demand prediction module, a scheduling decision module and a maintenance experience support module.
Specifically, the spare part demand prediction module is used for collecting real-time fault early warning information of equipment of each project part in real time and predicting required maintenance resource conditions according to fault assessment information of the tunnel boring machine.
The scheduling decision module is used for collecting and updating the accessory conditions of all project parts in real time; updating information of a supplier in real time, wherein the information comprises maintenance resource inventory condition, supply capacity and the like according to project part spare part demand prediction information, and performing optimized scheduling by combining the spare part condition of the project part and a model algorithm to realize project scheduling of maintenance resources or purchase through the supplier; sending a provisioning task to the vendor; and sending the maintenance resource scheduling task to the project department.
And the maintenance experience support module is used for collecting maintenance experience information of tunnel boring machine equipment of each project part to form a knowledge base, and providing reference for excellent maintenance experience pushed by the project part according to fault early warning information of the project.
And the provider subsystem is used for enabling a provider to publish own supplied products and service capacity through the system, checking the supply task given by the decision system and carrying out supply and receipt.
Example 3: a computer storage medium having stored thereon a computer program for execution by a processor for implementing the method of embodiment 1.
The tunnel boring machine maintenance resource cooperative scheduling method and system provided by the invention are described in detail above. The principles and embodiments of the present invention have been explained herein with particular reference to isolation, and the foregoing examples are provided merely to facilitate an understanding of the principles and core concepts of the invention. It should be noted that those skilled in the art, having the benefit of the teachings of this invention, may effect numerous modifications thereto and changes may be made without departing from the scope of the invention as defined by the appended claims.

Claims (10)

1. A collaborative scheduling method for maintenance resources of a tunnel boring machine is characterized by comprising the following steps:
(1) collecting information resources, wherein the information resources comprise item information and supplier information; the information of the project part comprises basic equipment information, historical fault maintenance records, equipment state parameters, health assessment fault prediction information, maintenance and maintenance spare part information, maintenance resource demand information and transportation information, wherein the equipment state parameters and the health assessment fault prediction information are acquired in real time through a data acquisition system, and other information is acquired periodically; the supplier information comprises basic information, supply resource information, resource inventory condition, supply capacity condition and transportation information, and is updated regularly;
(2) information storage, namely transmitting the item information and the supplier information obtained in the step (1) to a professional database server for storage management, storing various data in a proper format, and providing support for subsequent data analysis and data application;
(3) information processing and analysis, namely calling, modifying and updating the information, enabling the information to be fused and shared in a maintenance decision system, and performing fusion comparison analysis on data;
(4) and the service application is used for realizing application functions including real-time monitoring of the state of the tunnel boring machine, early warning of fault information, prediction of spare part requirements, pushing of scheduling decision information and pushing of maintenance experience according to analysis of various information.
2. A tunnel boring machine maintenance resource cooperative scheduling system for realizing the tunnel boring machine maintenance resource cooperative scheduling method of claim 1, characterized by comprising:
the information acquisition module: acquiring state and health evaluation fault prediction information of the tunnel boring machine in real time, and acquiring other service data regularly;
data transmission and storage: classifying and storing the data according to a specified format;
the information processing and analyzing module: carrying out preliminary preprocessing and data analysis on the information;
a maintenance resource scheduling module: and according to the analysis of the system on various information, giving out an optimal scheduling decision of the maintenance resources.
3. The coordinated maintenance resource scheduling system of a tunnel boring machine according to claim 2, wherein the maintenance resource scheduling module includes a project resource management subsystem, a resource scheduling coordinated decision subsystem and a supplier subsystem.
4. The coordinated scheduling system of maintenance resources of a tunnel boring machine according to claim 3, wherein the project resource management subsystem is used for entering relevant information of updating project department, referring to real-time state of tunnel boring machine equipment and fault early warning information; when a spare part is required, issuing resource requirements; and when the key parts have faults, checking the maintenance resource supply scheme pushed by the decision-making system and the pushed maintenance scheme.
5. The cooperative maintenance resource scheduling system of a tunnel boring machine according to claim 3, wherein the cooperative resource scheduling decision subsystem is used for realizing failure prediction, inventory configuration optimization decision, accessory replenishment decision, resource scheduling decision and supply decision, and comprises a spare part demand prediction module, a scheduling decision module and a maintenance experience support module.
6. The resource scheduling cooperative decision making subsystem according to claim 5, wherein the spare part demand prediction module is configured to receive real-time failure early warning information of each project department and provide a demand prediction of maintenance resources.
7. The resource scheduling cooperative decision making subsystem according to claim 5, wherein the scheduling decision module is configured to look up fitting conditions, supplier inventory conditions, and supply capacity of each item, to provide a resource scheduling maintenance decision making scheme, to send a supply task to the supplier after the item is confirmed, and to send a maintenance resource scheduling task to the item.
8. The resource scheduling cooperative decision making subsystem according to claim 5, wherein the maintenance experience support module is configured to collect maintenance experience information of tunneling machine equipment of each project department, form a knowledge base, and provide reference for excellent maintenance experience pushed by the project department according to the failure early warning information of the project department.
9. The coordinated scheduling system of maintenance resources of a tunnel boring machine according to claim 3, wherein the supplier subsystem is configured to enable a supplier to issue its own supply products and service capabilities through the system, view the supply tasks given by the decision-making system, and make a supply order.
10. A computer storage medium having a computer program stored thereon, the program being executable by a processor for performing the method of claim 1.
CN202111349160.3A 2021-11-15 2021-11-15 Tunnel boring machine maintenance resource cooperative scheduling method and system Pending CN114118548A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115081651A (en) * 2022-05-16 2022-09-20 开思时代科技(深圳)有限公司 Automobile part management method and system based on big data and computer readable medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115081651A (en) * 2022-05-16 2022-09-20 开思时代科技(深圳)有限公司 Automobile part management method and system based on big data and computer readable medium

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