CN108009097B - Cloud computing simulation test method and device for rail transit signal system - Google Patents

Abstract

The present invention relates to a cloud computing simulation test method and device oriented to a rail transit signal system. The device includes a local operation terminal and a cloud connected to each other. The local operation terminal includes a cloud desktop terminal and a client connected to each other. The cloud includes a test service platform, a hardware adaptation layer, and a rail transit tested signal equipment group connected in sequence, and the client is connected to the test service platform in communication; the cloud desktop terminal includes a cloud desktop operation module, a cloud A desktop management module and a cloud desktop display module; the test service platform includes a sequentially connected SaaS service layer, a PaaS platform service layer and an IaaS infrastructure service layer. Compared with the prior art, the invention has the advantages of strong expansibility, cost and time saving, convenient and flexible application and the like.

Description

Cloud Computing Simulation Test Method and Device for Rail Transit Signaling System

technical field

The invention relates to a rail traffic signal system testing technology, in particular to a cloud computing simulation test method and device for a rail traffic signal system.

Background technique

In the rail transit signal industry, all tests and factory inspections of the signal system are carried out on the basis of the integrated verification and validation test platform (FIVP) in the factory. The construction of the traditional FIVP simulation test platform requires a lot of hardware equipment procurement costs, and the requirements for space and wiring are also high. The specific problems faced are:

1. Compatibility and scalability of simulation tests: In traditional rail transit FIVP test platforms, most of the devices are composed of physical hardware devices, and each device has its own specific software and hardware interfaces, which limits the compatibility and scalability of simulation interfaces. .

2. Cost and space issues: Rail transit-related hardware equipment is expensive, and the traditional rail transit FIVP simulation test platform uses too much hardware, resulting in huge costs and high space occupancy.

3. Problems in application flexibility: In the traditional rail transit signal system testing process, testers need to work in the laboratory and use fixed machines, and the process of maintaining and using the test environment is very cumbersome.

4. Difficulty in deploying the test environment: The rail transit signal system is highly specific and complex, and it takes a lot of manpower and energy to deploy the test environment such as the power system, network system, software and other environments, which affects the test work itself. carry out.

Contents of the invention

The object of the present invention is to provide a cloud computing simulation test method and device for rail transit signal system with high test efficiency and low cost in order to overcome the above-mentioned defects in the prior art.

The purpose of the present invention can be achieved through the following technical solutions:

A cloud computing simulation test method for rail transit signal system, comprising the following steps:

Step 1. After the cloud test desktop is started, the cloud device layer is automatically awakened through the thin client, and the cloud device is automatically connected, followed by the SaaS level, the PaaS level, the IaaS level, the physical adaptation level, and the signal device level under test;

Step 2, initialize the simulated vehicle software, simulated trackside software and control interface series software at the SaaS level, create multiple software model instances, and provide services at all levels of the distributed test system to cloud device users;

Step 3, initialize various services at the PaaS level, including test platform development services, deployment services, operation services, and management services;

Step 4, according to the calculation and operation intermediate results of the above-mentioned PaaS, dynamically call the resource pools of various interface adapters included in the IaaS layer;

Step 5, the above-mentioned IssS infrastructure layer communicates with the hardware adaptation physical layer through the Ethernet interface, and drives the hardware adaptation physical layer to realize linkage with each signal device under test;

Step 6. The signal equipment group under test is a single signal subsystem, or a large system required by the entire rail transit. Use the interface adaptation resource pool included in the above-mentioned IaaS to dynamically calculate, simulate and allocate, and finally realize half-physical and half-virtual The operating environment of the complete rail transit signaling system;

Step 7. According to the automatic operation of the cloud test device, the final cloud computing simulation results are reverse-transmitted, and finally the test results are displayed on the tested terminal. The entire cloud computing simulation platform forms a complete closed loop and runs automatically in the background.

Preferably, the services at each level in step 2 include providing a friendly man-machine interface as user services, providing public or dedicated test applications as test execution services, test project development services, and application services for test data.

Preferably, in step 3, the user can select the corresponding development model in the resource pool of the test platform development service, determine and select the corresponding deployment service as required, import the test plan and test cases, and completely monitor the test process And automatically analyze the test results formed after the test to form a test report; at the same time, in the process of automatic operation of the cloud platform, the deployment and comprehensive management of various resources for the entire test.

Preferably, the interface adapter resource pool in the step 4 is a test basic resource pool, which is a configurable shared test resource pool that can be accessed through the network and is formed after virtualization of test resources and cloud computing infrastructure, for other Hierarchical service calls.

A cloud computing simulation test device oriented to a rail transit signaling system, comprising a local operating terminal and a cloud connected to each other, the local operating terminal including a cloud desktop terminal and a client connected to each other, and the cloud including sequentially connected test A service platform, a hardware adaptation layer, and a group of rail transit signal equipment under test, and the client terminal communicates with the test service platform.

Preferably, the cloud desktop terminal includes a cloud desktop operation module, a cloud desktop management module and a cloud desktop display module, and the cloud desktop operation module, cloud desktop management module and cloud desktop display module are respectively connected to the client;

The cloud desktop operation module is used to realize various test operations of test users, including the import of test plans and the execution of test cases, and is the human-machine interface HMI of the whole cloud computing simulation test device;

The cloud desktop management module is built on the cloud desktop operation module architecture, and is used for visual management of test plans, test cases, test results and reports, including the import of test plans, the execution of test cases, Intervention and closure, as well as test report and test case mapping table management, test case database management;

The cloud desktop display module is used to provide a friendly man-machine interface, provide real-time feedback of test results, and provide final test results and reports, and complete record and playback of the test process.

Preferably, the client is a thin client, which provides a basic operating system and corresponding driver software for the operating environment and carrier of the cloud desktop operation module, cloud desktop management module, and cloud desktop display module.

Preferably, the test service platform includes a SaaS service layer, a PaaS platform service layer, and an IaaS infrastructure service layer connected in sequence, the SaaS service layer is connected to the client, and the IaaS infrastructure service layer is connected to the hardware adapter. distribution layer connection;

The SaaS service layer is used to provide corresponding test platform development services, test platform deployment services, test platform operation services and test platform management services;

The PaaS platform service layer is used to provide a unified platform for test users and developers, and test developers use development languages and tools in the cloud environment to manage and control test resources, access test databases, and develop public or dedicated test Serve and publish to cloud infrastructure;

The IaaS infrastructure service layer is used to provide users with a resource pool of simulated interfaces of various signal systems.

Preferably, the hardware adaptation layer is a network signal conversion layer, which is used to analyze the network messages transmitted from the service layer of the IaaS infrastructure, and package and convert them into corresponding interfaces required by the signal equipment under test.

Preferably, the client is connected to the test service platform through Ethernet.

Compared with the prior art, the present invention has the following advantages:

1. Strong scalability: The remarkable feature of setting up a cloud computing platform is that all computing resources are in the cloud, which means that computing resources can be changed at any time. When the need increases, the computing power can be increased by adding cloud devices, which is very convenient to use.

2. Saving cost and time: In traditional computing clusters, it is necessary to increase computing power by adding physical devices, which greatly increases the cost of hardware procurement, but using the cloud platform can use virtual computing resources, which greatly saves costs and The space occupancy rate of the device.

3. Convenient and flexible application: The applications supported by the cloud computing platform can be easily shared with other personnel, because for actual operators, cloud computing is a virtual client, no matter where they are or where they are It is very convenient to use other people's cloud applications at any time. For FIVP testing, many problems caused by frequent changes or rebuilding of the test environment due to the adjustment of test resources can be completely avoided in the cloud test architecture.

The system is used for in-factory verification tests of actual subway lines such as Xiamen Metro Line 1, Chengdu Metro Line 7, and Wuhan Metro Line 8. It reduces the cost of test equipment and cleverly combines cloud technology in the Internet industry, which is the development direction of the future rail transit signal system test platform.

Description of drawings

Fig. 1 is the schematic diagram of testing method of the present invention;

Fig. 2 is the structural representation of testing device of the present invention;

Fig. 3 is a schematic diagram of HMI example data of the front-end cloud desktop main body integrated operation HMI of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

As shown in Figure 1, a kind of cloud computing simulation test method for rail transit signaling system, the method comprises the following steps:

Step 1. After the cloud test desktop is started, the cloud device layer is automatically awakened through the thin client, and automatic access to the cloud is realized, followed by the SaaS level, the PaaS level, the IaaS level, the physical adaptation level, and the signal device level under test;

Step 2, initialize the simulated vehicle software, simulated trackside software and control interface series software at the SaaS level, create multiple software model instances, and provide services at all levels of the distributed test system to cloud terminal users, mainly including providing friendly man-machine Interface as user service, application service providing public or private test application as test execution service, test project development service and test data;

Step 3: Initialize various services at the PaaS level, including test platform development services, deployment services, operation services, and management services. Users can select the corresponding development model in the test platform development service resource pool, determine and select the corresponding deployment software as needed, import test plans and test cases, conduct complete monitoring of the test process and automatically analyze the test results formed after the test , forming a test report. At the same time, during the automatic operation of the cloud platform, the deployment and comprehensive management of various resources are carried out for the entire test;

Step 4: Dynamically call various interface adapter resource pools included in the IaaS level according to the calculation and operation intermediate results of the above PaaS. The interface adapter resource pool, also known as the test basic resource pool, is a configurable shared test resource pool that can be accessed through the network and is formed after the virtualization of test resources and cloud computing infrastructure, for service calls at other levels;

Step 5, the above-mentioned IssS infrastructure layer communicates with the hardware adaptation physical layer through the Ethernet interface, and drives the hardware adaptation physical layer to realize linkage with each measured signal subsystem;

Step 6. The signal system group under test can be a single signal subsystem or a large system required by the entire rail transit. The interface adaptation resource pool included in the above-mentioned IaaS can be used to dynamically calculate, simulate and allocate, and finally realize the semi-signal system. The operating environment of the physical semi-virtual complete rail transit signaling system;

Step 7. According to the automatic operation of the cloud test device, the final cloud computing simulation results are reverse-transmitted, and finally the test results are displayed on the test terminal. The entire cloud computing simulation platform forms a complete closed loop and runs automatically in the background.

As shown in Figure 2, a cloud computing simulation test device for rail transit signal system, the device includes cloud desktop operation module a, cloud desktop management module b, thin client c, cloud desktop display d, SaaS software service layer e , PaaS platform service layer f, IaaS infrastructure service layer g, hardware adaptation layer h and the rail transit signal equipment group under test. Among them, cloud desktop operation module a, cloud desktop management module b, thin client c, and cloud desktop display d are divided into local operation terminals, SaaS software as a service layer e, PaaS platform as a service layer f, and IaaS infrastructure as a service layer g , hardware adaptation layer h and various rail transit signal system groups under test are divided into clouds. The cloud is the core of the cloud computing simulation test, and controls all cloud test resources through network and interface adaptation. When users have testing needs, they only need to send service requests to the cloud test platform through the network, and the cloud computing simulation test platform will automatically calculate the optimal test resource configuration and run automatically in the background, and finally feed back the test results to the local terminal.

Explanation of each module:

1. Cloud desktop operation module a:

This module includes the front-end test control display program, and the background is an extensible soft bus architecture to realize external network communication. On the cloud desktop operation module a, it can mainly realize various test operations of test users, including the import of test plans, the execution of test cases, etc., which is the human-machine interface HMI of the entire cloud computing simulation test platform;

2. Cloud desktop management module b:

This module is built on the framework of the above-mentioned cloud desktop operation module a, which can perform visual management of test plans, test cases, test results and reports, including the import of test plans, the execution start, intervention and end of test cases, as well as test reports and Mapping table management of test cases, database management of test cases.

3. Thin client c:

The thin client provides the basic operating system and corresponding driver software for the operating environment and carrier of the cloud desktop operation module a, cloud desktop management module b, and cloud desktop display d.

4. Cloud desktop display module d:

Provides a friendly man-machine interface, real-time feedback of test results, and can provide final test results and reports, and complete record and playback of the test process.

5. SaaS layer e:

SaaS (Software as a Service), software as a service layer, encapsulates the service application interface for user virtual machines to call and process, users can use the application functions running on the cloud infrastructure, and can conduct remote access through the above thin client c , providing corresponding test platform development services, test platform deployment services, test platform operation services and test platform management services.

6. PaaS layer f:

PaaS (Platform as a Service), platform as a service. The test platform service provides a unified platform for test users and developers. Test developers can use development languages and tools in the cloud environment to manage and control test resources, access test databases, develop public or dedicated test services and publish them to the cloud base architecturally. Test users can use the developed test platform service interface to develop and write corresponding test cases within the scope of permission.

7. IaaS layer g:

IaaS (Infrastructure as a Service), infrastructure as a service. Provide users with various signal system simulation interface resource pools, users can define and build the required test interfaces, virtualize the basic resources of the hardware layer, build virtual test resource pools corresponding to test resources, and call services for other levels .

8. Hardware adaptation layer h:

This level is the basic network-signal conversion layer, which analyzes the network messages transmitted from the above IaaS layer, and packages and converts them into the corresponding interfaces required by the system under test. It can be packaged and converted into various digital pulse signals, arbitrary waveform signals, 24/110V IO code bit signals, and network signals with secure communication protocols required by the signal system.

As shown in Figure 3, it is a cloud computing simulation test method oriented to rail transit signaling system and the front-end cloud desktop main body of the device integrates operation HMI instance data.

The present invention has been applied to the verification test of the rail transit signal system, including the verification test of the signal system software and data released at the factory, and has the cloud test automation function. The test capability covers all signal subsystem tests, including Automatic Train Supervision (ATS for short), ATP/ATO on-board subsystem (Automatic Train Protection System/Automatic TrainOperation) , ZC/LC trackside subsystem (Zone Controller/LineController), interlocking (Computer Based Interlocking, referred to as CBI), communication and other subsystems, etc. Through the test of the cloud computing test platform, more than 80% of the functions to be tested in the rail transit signal field can be verified and tested indoors, which greatly reduces the workload of field testing and also reduces the defect escape rate of the signal system .

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field can easily think of various equivalents within the technical scope disclosed in the present invention. Modifications or replacements shall all fall within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (9)

1. A cloud computing simulation testing method for rail traffic signal system, it is characterized in that, comprises the following steps: Step 1. After the cloud test desktop is started, the cloud device layer is automatically awakened through the thin client, and the cloud device is automatically connected, followed by the SaaS level, the PaaS level, the IaaS level, the physical adaptation level, and the signal device level under test; Step 2, initialize the simulated vehicle software, simulated trackside software and control interface series software at the SaaS level, create multiple software model instances, and provide services at all levels of the distributed test system to cloud device users; Step 3, initialize various services at the PaaS level, including test platform development services, deployment services, operation services, and management services; Step 4, according to the calculation and operation intermediate results of the above-mentioned PaaS, dynamically call the resource pools of various interface adapters included in the IaaS level; Step 5, the above-mentioned IaaS infrastructure layer communicates with the hardware adaptation physical layer through the Ethernet interface, and drives the hardware adaptation physical layer to realize linkage with each signal device under test; Step 6. The signal equipment group under test is a single signal subsystem, or a large system required by the entire rail transit. Use the interface adaptation resource pool included in the above-mentioned IaaS to dynamically calculate, simulate and allocate, and finally realize half-physical and half-virtual The operating environment of the complete rail transit signaling system; Step 7. According to the automatic operation of the cloud test device, the final cloud computing simulation results are reverse-transmitted, and finally the test results are displayed on the tested terminal. The entire cloud computing simulation platform forms a complete closed loop and runs automatically in the background; The interface adapter resource pool in step 4 is a test basic resource pool, which is a configurable shared test resource pool accessible through the network formed after virtualization of test resources and cloud computing infrastructure, for other levels of services transfer. 2. The method according to claim 1, characterized in that, the services at each level in step 2 include providing friendly man-machine interface as user service, providing public or dedicated test application as test execution service, test project development Application service for serving and testing data. 3. The method according to claim 1, characterized in that in step 3, the user can select the corresponding development model in the resource pool of the test platform development service, determine and select the corresponding deployment service as required, import Test plans and test cases, complete monitoring of the test process and automatic analysis of the test results formed after the test to form a test report; at the same time, in the process of automatic operation of the cloud platform, the deployment and comprehensive management of various resources for the entire test. 4. A device for the cloud computing simulation testing method for rail transit signaling system as claimed in claim 1, characterized in that, it comprises an interconnected local operation terminal and a cloud, and said local operation terminal comprises an interconnected cloud A desktop terminal and a client, the cloud includes a sequentially connected test service platform, a hardware adaptation layer and a group of rail transit signal equipment under test, and the client communicates with the test service platform. 5. The device according to claim 4, wherein the cloud desktop terminal comprises a cloud desktop operation module, a cloud desktop management module and a cloud desktop display module, and the cloud desktop operation module, the cloud desktop management module and The cloud desktop display module is connected to the client respectively; The cloud desktop operation module is used to realize various test operations of test users, including the import of test plans and the execution of test cases, and is the human-machine interface HMI of the whole cloud computing simulation test device; The cloud desktop management module is built on the cloud desktop operation module architecture, and is used for visual management of test plans, test cases, test results and reports, including the import of test plans, the execution of test cases, Intervention and closure, as well as test report and test case mapping table management, test case database management; The cloud desktop display module is used to provide a friendly man-machine interface, provide real-time feedback of test results, and provide final test results and reports, and complete record and playback of the test process. 6. The device according to claim 5, wherein the client is a thin client, providing basic operations for the operating environment and carrier of the cloud desktop operation module, cloud desktop management module, and cloud desktop display module system and corresponding driver software. 7. The device according to claim 4, wherein said test service platform comprises a SaaS service layer, a PaaS platform service layer and an IaaS infrastructure service layer connected in sequence, and said SaaS service layer is connected to a client , the IaaS infrastructure service layer is connected to the hardware adaptation layer; The SaaS service layer is used to provide corresponding test platform development services, test platform deployment services, test platform operation services and test platform management services; The PaaS platform service layer is used to provide a unified platform for test users and developers, and test developers use development languages and tools in the cloud environment to manage and control test resources, access test databases, and develop public or dedicated test Serve and publish to cloud infrastructure; The IaaS infrastructure service layer is used to provide users with a resource pool of simulated interfaces of various signal systems. 8. The device according to claim 5, wherein the hardware adaptation layer is a network signal conversion layer, which is used to analyze the network messages transmitted from the IaaS infrastructure service layer, and package and convert them into corresponding The interface required by the signal device under test. 9. The device according to claim 5, wherein the client is connected to the test service platform through Ethernet.