CN115269125A - System intelligent prediction and health management simulation method based on container technology - Google Patents
System intelligent prediction and health management simulation method based on container technology Download PDFInfo
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- CN115269125A CN115269125A CN202211000274.1A CN202211000274A CN115269125A CN 115269125 A CN115269125 A CN 115269125A CN 202211000274 A CN202211000274 A CN 202211000274A CN 115269125 A CN115269125 A CN 115269125A
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
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- G06F9/45558—Hypervisor-specific management and integration aspects
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Abstract
The invention relates to a system intelligent prediction and health management simulation method based on a container technology. The invention comprises the following steps: 1) The method comprises the steps of constructing a system hardware platform, wherein the system hardware platform comprises a plurality of nodes, the nodes are in wireless communication, and each system node comprises a module-level computing unit and a node-level network transmission unit; 2) After a hardware platform is built according to the step 1), cloud platform software is built on system nodes, wherein the cloud platform software comprises platform service layer software and a generalized operating system; 3) Selecting a Docker container technology to build a platform service layer environment, and performing system node cluster management by using a Portainer + Swarm component technology; 4) PHM application software of module level, node level and system level is realized, and the software can be freely migrated, flexibly deployed and load balanced on a system cloud platform; 5) The system level intelligent prediction and health management monitoring upper computer software is realized, the system cloud platform data stream can be monitored, and the system node state can be managed, the software can set the fault excitation of the system level PHM, and a function management interface of the system node is provided outwards. The invention realizes the simulation verification of the formation-level PHM system by using cloud computing and container technology.
Description
Technical Field
The invention belongs to the field of cloud computing, and particularly relates to a system intelligent prediction and health management simulation method based on a container technology.
Background
The system intelligent Prediction and Health Management (PHM) system can provide the Health state of the system in real time, quickly and accurately carry out fault diagnosis and positioning, predict faults and residual life, and improve the integrity, operation benefit and comprehensive security of the airplane. Currently, an aircraft PHM system is mainly composed of three parts: the system comprises an airplane-level PHM system, a data system and a ground management system; the existing PHM system simulation method is based on a comprehensive computer simulator (simulation board card), an Ethernet switch and an upper computer. The method is characterized in that a simulation board card is used for simulating a bus controller of a flight management system, data stream transmission is generated between an Ethernet and an upper computer, and the upper computer simulates a ground management system, so that airplane-level intelligent prediction and health management simulation are realized. Firstly, because the method is realized based on the airplane-level system, the intelligent prediction and health management simulation of airplane formation level can not be completed, namely, the management of a plurality of airplane systems can not be completed. And secondly, due to the lack of support for the cloud platform, virtualization of resources, scheduling, monitoring and load balancing of the resources cannot be realized.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a system intelligent prediction and health management simulation method based on a container technology, which realizes simulation verification of a formation-level PHM system by using cloud computing and the container technology.
The technical solution of the invention is as follows: the invention relates to a system intelligent prediction and health management simulation method based on a container technology, which is characterized in that: the method comprises the following steps:
1) The method comprises the steps of constructing a system hardware platform, wherein the system hardware platform comprises a plurality of nodes, the nodes are in wireless communication, and each system node comprises a module-level computing unit and a node-level network transmission unit;
2) After a hardware platform is built according to the step 1), cloud platform software is built on system nodes, wherein the cloud platform software comprises platform service layer software and a generalized operating system;
3) Selecting a Docker container technology to build a platform service layer environment, and performing system node cluster management by using Portainer + Swarm component technology;
4) PHM application software at module level, node level and system level can be freely migrated, flexibly deployed and load balanced on a system cloud platform;
5) The system level intelligent prediction and health management monitoring upper computer software is realized, and the system cloud platform data stream can be monitored and the system node state can be managed.
Further, in the step 1), the system node selects FT2000/4 as a main control chip of the system node, the ethernet card is used as a transmission interface of the module-level computing unit, and the wireless module is used as an inter-system communication interface.
Further, in the step 2), a Linux system is selected as a generalized operating system, and cloud computing related technologies are selected as platform service layer software.
Further, in the step 4), the module-level PHM software simulates fault excitation data generated by the module-level flight control system and transmitted to the airplane-level PHM function, and the data packet can be sent to the node-level PHM software through the bus.
Further, the node-level PHM software in the step 4) simulates a node-level flight control system, and sends fault excitation data to the formation-level PHM software through a bus.
Further, the formation-level PHM software in the step 4) summarizes the data packets sent by the node-level PHM software, evaluates the health state of each system node, and provides a formation management strategy, and the software can realize free migration on the cloud through the platform service layer environment set up in the step 3).
Further, the specific steps of step 4) are as follows:
4.1 Firstly, docker installation and private warehouse manufacture are carried out, and the private warehouse is specially used for storing PHM software; then, docker mirror images of related PHM software are compiled by using docker files and uploaded to a self-built private warehouse; then downloading the docker mirror image by using the client;
4.2 Install Portainer management tool at the host end, and can view Portainer management interface at the host end through localhost 9000;
4.3 Docker Swarm is used for cluster building, is a Docker container local cluster solution of Docker and has the advantages of being tightly integrated with a Docker ecosystem and using API of Docker; it monitors the number of containers across a server cluster, being the most convenient way to create a clustered docker application without other hardware; it provides a small but useful orchestration system for Dockerized applications.
Further, the system-level intelligent prediction and health management monitoring upper computer software in the step 5) can set fault excitation of the system-level PHM and provide a function management interface of the system node to the outside.
Further, the specific steps of step 5) are as follows: and for otainer cluster management, software mirror images of all nodes can be added to a potainer interface, starting, closing and unloading operations can be performed on all nodes, the running condition of each node can be checked, data flow data can be monitored, and a series of operations of creating a container, adding the container, starting and stopping the container, deleting the container and unloading the container can be performed in the system node.
The container technology-based system intelligent prediction and health management simulation method provided by the invention can realize airplane formation-level intelligent prediction and health management simulation, can realize Docker deployment on a plurality of different system nodes, uses portainer to perform cluster management in combination with swarm, realizes flexible deployment, load balancing, resource scheduling, node state management and data flow monitoring of PHM software at module level, node level and formation level, improves deployment efficiency and improves the overall operation and maintenance capability of the system.
Description of the drawings:
FIG. 1 is a diagram of a simulation model for intelligent prediction and health management of the system of the present invention.
The reference numbers are as follows:
APP 1-Module level PHM software;
APP 2-node level PHM software;
APP 3-formation level PHM software.
Detailed Description
The invention provides a system intelligent prediction and health management simulation method based on a container technology, which specifically comprises the following steps:
1) The method comprises the steps of constructing a system hardware platform, wherein the system hardware platform comprises a plurality of nodes, the nodes are in wireless communication, and each system node comprises a module-level computing unit and a node-level network transmission unit; the system node selects FT2000/4 as a main control chip of the system node, an Ethernet card as a transmission interface of the module-level computing unit, and a wireless module as an intersystem communication interface.
2) After a hardware platform is built according to the step 1), cloud platform software is built on system nodes, wherein the cloud platform software comprises platform service layer software and a generalized operating system; a Linux system is selected as a generalized operating system, and cloud computing related technologies are selected as platform service layer software.
3) Selecting a Docker container technology to build a platform service layer environment, and performing system node cluster management by using a Portainer + Swarm component technology;
4) PHM application software at module level, node level and system level can be freely migrated, flexibly deployed and load balanced on a system cloud platform; the module-level PHM software simulates fault excitation data generated by a module-level flight control system and transmitted to the airplane-level PHM function, and the data packet can be sent to the node-level PHM software through a bus; the node-level PHM software simulates a node-level flight control system and sends fault excitation data to the formation-level PHM software through a bus; the formation-level PHM software summarizes the data packets sent by the node-level PHM software, evaluates the health state of each system node and provides a formation management strategy, and the software can realize free migration on the cloud through the platform service layer environment set up in the step 3); the method comprises the following specific steps:
4.1 First, docker installation and private warehouse manufacturing are carried out, and the private warehouse is specially used for storing PHM software; then, compiling a docker mirror image of related PHM software by using dockerfile and uploading the docker mirror image to a self-built private warehouse; then, downloading the docker mirror image by using the client;
4.2 Install the Docker management tool Portainer at the host end, and can view the Portainer management interface at the host end through localhost 9000;
4.3 A Docker Swarm is used for cluster building, is a Docker container local cluster solution of Docker and has the advantages of being tightly integrated with a Docker ecosystem and using an API of the Docker; it monitors the number of containers across a server cluster, being the most convenient way to create a clustered docker application without other hardware; it provides a small but useful orchestration system for Dockerized applications.
5) The system-level intelligent prediction and health management monitoring upper computer software is realized, the data flow of a system cloud platform can be monitored, the state of a system node can be managed, the software can also set the fault excitation of a system-level PHM, and a function management interface of the system node is provided outwards, and the method specifically comprises the following steps: the otainer cluster management can add software images of all nodes on a potainer interface, can perform operations such as starting, closing and unloading on all nodes, can check running conditions of all nodes, can monitor data flow data, and can perform a series of operations such as container creation, container addition, starting and stopping of containers, container deletion and container unloading on the containers in system nodes.
The technical solution of the present invention is further described in detail with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, in the embodiment of the present invention, the overall simulation model is divided into two parts, namely, a system formation and a management host, wherein the system formation includes two system nodes, each system node has the same structure, FT2000/4 is used as a main control chip, a Linux operating system is operated on the system node, and then a docker environment is deployed; the management host adopts an X86 machine, a Linux operating system is operated on the X86 machine, and then the Swarm cluster management tool is deployed.
The Docker container technology is used for building a platform service layer environment, so that application software can be in the cloud, and rapid deployment and migration of the software are achieved.
1) The method comprises the steps of constructing a system hardware platform, wherein the system hardware platform comprises a plurality of system nodes, the system nodes are in wireless communication, and each system node comprises a module-level computing unit and a node-level network transmission unit; the simulation system can simulate a formation of an airplane, wherein the formation of the airplane comprises two airplane nodes; the system node selects FT2000/4 as a main control chip of the system node, an Ethernet card as a transmission interface of the module-level computing unit, and a wireless module as an intersystem communication interface.
2) And (3) after a hardware platform is built according to the step (1), cloud platform software is built on system nodes, and the cloud platform software comprises platform service layer software and a generalized operating system.
The general operating system selects an kylin operating system based on a Linux kernel, and the platform service layer software selects a cloud computing related technology.
3) Selecting a Docker container technology to build a platform service layer environment, and performing system node cluster management by using a Portainer + Swarm component technology;
4) Firstly, docker installation and private warehouse manufacture are carried out, and the private warehouse is specially used for storing PHM software; then, compiling a docker mirror image of related PHM software by using dockerfile and uploading the docker mirror image to a self-built private warehouse; then, downloading the docker mirror image by using the client;
5) A Docker management tool Portainer is installed at the host end, and a Portainer management interface can be checked at the host end through localhost 9000;
6) Cluster building is carried out by using a Docker Swarm, which is a Docker container local cluster solution of Docker and has the advantages of being tightly integrated with a Docker ecosystem and using an API of the Docker; it monitors the number of containers across a server cluster, being the most convenient way to create a clustered docker application without other hardware; it provides a small but useful orchestration system for Dockerizied applications;
7) In the potainer cluster management, software images of all nodes can be added to a potainer interface, the nodes can be started, closed, unloaded and the like, the running condition of each node can be checked, data flow data can be monitored, and a series of operations such as container creation, container addition, container starting and stopping, container deletion, container unloading and the like can be performed in the system nodes.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A system intelligent prediction and health management simulation method based on container technology is characterized in that: the method comprises the following steps:
1) The method comprises the steps of constructing a system hardware platform, wherein the system hardware platform comprises a plurality of nodes, the nodes are in wireless communication, and each system node comprises a module-level computing unit and a node-level network transmission unit;
2) After a hardware platform is built according to the step 1), cloud platform software is built on system nodes, wherein the cloud platform software comprises platform service layer software and a generalized operating system;
3) Selecting a Docker container technology to build a platform service layer environment, and performing system node cluster management by using a Portainer + Swarm component technology;
4) PHM application software of module level, node level and system level is realized, and the software can be freely migrated, flexibly deployed and load balanced on a system cloud platform;
5) The system level intelligent prediction and health management monitoring upper computer software is realized, and the system cloud platform data stream can be monitored and the system node state can be managed.
2. The container technology based system intelligent prediction and health management simulation method of claim 1, wherein: in the step 1), the system node selects FT2000/4 as a main control chip of the system node, the Ethernet card is used as a transmission interface of the module-level computing unit, and the wireless module is used as an intersystem communication interface.
3. The container technology based system intelligent prediction and health management simulation method of claim 2, wherein: in the step 2), a Linux system is selected as the generalized operating system, and a cloud computing related technology is selected as the platform service layer software.
4. The container technology based system intelligent prediction and health management simulation method of claim 3, wherein: and 4) simulating fault excitation data generated by the module-level PHM software simulation module-level flight control flight management system and transmitted to the airplane-level PHM function in the step 4), and transmitting the data packet to the node-level PHM software through a bus.
5. The container technology based system intelligent prediction and health management simulation method of claim 3, wherein: and 4) simulating a node-level flight control system by the node-level PHM software in the step 4), and sending fault excitation data to the formation-level PHM software through a bus.
6. The container technology based system intelligent prediction and health management simulation method of claim 3, wherein: the formation level PHM software in the step 4) summarizes the data packets sent by the node level PHM software, the health state of each system node is evaluated, a formation management strategy is given, and the software can realize free migration on the cloud through the platform service layer environment set up in the step 3).
7. The container technology based system intelligent prediction and health management simulation method according to claim 3, wherein: the specific steps of the step 4) are as follows:
4.1 Firstly, docker installation and private warehouse manufacture are carried out, and the private warehouse is specially used for storing PHM software; then, docker mirror images of related PHM software are compiled by using docker files and uploaded to a self-built private warehouse; then downloading the docker mirror image by using the client;
4.2 Install Portainer management tool at the host end, and can view Portainer management interface at the host end through localhost 9000;
4.3 Docker Swarm is used for cluster building, is a Docker container local cluster solution of Docker and has the advantages of being tightly integrated with a Docker ecosystem and using API of Docker; it monitors the number of containers across a server cluster, being the most convenient way to create a clustered docker application without other hardware; it provides a small but useful orchestration system for Dockerized applications.
8. The container technology based system intelligent prediction and health management simulation method according to any one of claims 1 to 7, wherein: in the step 5), system-level intelligent prediction and health management monitoring upper computer software can set fault excitation of a system-level PHM and provides a function management interface of system nodes outwards.
9. The container technology based system intelligent prediction and health management simulation method of claim 7, wherein: the specific steps of the step 5) are as follows: and for otainer cluster management, software mirror images of all nodes can be added to a potainer interface, starting, closing and unloading operations can be performed on all nodes, the running condition of each node can be checked, data flow data can be monitored, and a series of operations of creating a container, adding the container, starting and stopping the container, deleting the container and unloading the container can be performed in the system node.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115599001A (en) * | 2022-12-15 | 2023-01-13 | 中国航空工业集团公司西安飞机设计研究所（Cn） | Simulation verification environment for airborne PHM system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115599001A (en) * | 2022-12-15 | 2023-01-13 | 中国航空工业集团公司西安飞机设计研究所（Cn） | Simulation verification environment for airborne PHM system |
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