CN115086209B - Signal system digital intelligent test method based on edge computing platform - Google Patents
Signal system digital intelligent test method based on edge computing platform Download PDFInfo
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- 238000010998 test method Methods 0.000 title claims abstract description 14
- 238000012360 testing method Methods 0.000 claims abstract description 117
- 238000000034 method Methods 0.000 claims description 25
- 238000004891 communication Methods 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000013461 design Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000011664 signaling Effects 0.000 claims 1
- 230000006870 function Effects 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 5
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- 238000009434 installation Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/06—Generation of reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The embodiment of the application provides a signal system digital intelligent testing method based on an edge computing platform, which comprises the steps of acquiring state parameters in the execution test of field devices of a signal system through front-end sensing equipment; judging in the edge computing platform based on the acquired state parameters and combining the test cases of the signal system and the expected results of the flow; and taking the acquired equipment state and the signal system related log as test execution results. The state of equipment in the field test of the signal system is intelligently recorded, managed, judged and stored, so that an intelligent and digital field test method is constructed, the tracing of test data is realized, the complexity of a test flow is simplified, and the field test efficiency is effectively improved.
Description
Technical Field
The application relates to the field of testing, in particular to a signal system digital intelligent testing method based on an edge computing platform.
Background
With the development of the track traffic industry, a new technology is used for assisting the track traffic industry by taking a new infrastructure concept as a guide, and the signal system is used as a core safety method of the track traffic industry, so that the signal system has long installation and debugging periods and high requirements on the correctness and completeness of a test result because of the complexity of the signal system, and the debugging progress and management and control of the signal system in project execution become a heavy object for guaranteeing the project to be opened.
In the present stage, although the signal system is updated from the previous relay interlocking, the updating iteration to the computer interlocking and the full-electronic interlocking, the vehicle-mounted control is updated increasingly, and even if the field test of the signal system is performed according to the traditional method, the indoor and outdoor equipment state confirmation is manually confirmed; signal system motor train test also requires engineers to check all test data; and confirming that the equipment state accords with the expected state of the test flow, and confirming that the test passes. The efficiency is low, the test record and the equipment state can not be converted into digital storage, and the data tracing is absent.
With the gradual introduction of the industrial internet, the development of front-end perception, edge computing and multi-source security transmission is based. The method effectively and comprehensively introduces a new basic construction concept, optimizes the field test method of the signal system, realizes the digitization of the equipment state in the field test of the signal system, realizes the intelligent judgment of the field test of the signal system under the online or offline condition, effectively improves the field test efficiency of the signal system, and ensures the sufficiency, completeness and traceability of the test.
The signal system on-site digital intelligent test based on the edge computing platform fundamentally solves the high security requirement of the signal system, all test results are stored digitally, all test execution can be stored on line to a large data platform, and source data is provided for the construction of the digital urban rail and the intelligent operation and maintenance method. Particularly, the application of the method for the on-site digital intelligent test of the signal system can shorten the on-site test time, save the execution time of signal projects and realize quick, good and economical construction of the rail transit electromechanical equipment on the premise of ensuring the quality and safety.
Disclosure of Invention
The embodiment of the application provides a signal system digital intelligent test method based on an edge computing platform, which is used for intelligently recording, managing, judging and storing the state of equipment in field test, realizing test data tracing, simplifying the complexity of a test flow and effectively improving the efficiency of the field test.
Specifically, the signal system digital intelligent testing method based on the edge computing platform provided by the embodiment of the application comprises the following steps:
acquiring state parameters in the execution test of the signal system field device through the front-end sensing device;
judging in the edge computing platform based on the acquired state parameters and combining the test cases of the signal system and the expected results of the flow;
and taking the acquired equipment state and the signal system related log as test execution results.
Optionally, the method includes:
the communication transmission data equipment is controlled to copy the running log, and the operation of the equipment and the equipment state information after the operation are acquired;
and storing and recording the acquired information and uploading the test result in a wired or wireless mode.
Optionally, the on-line and off-line signal system on-site test expert library is used for realizing the intelligent judgment of off-line on-site test results and generating a test report.
Optionally, the edge computing platform is controlled to obtain data of the field test flow.
Optionally, the multi-source data cloud platform provides for on-site testing services:
test task management, test case management, test module management, and intelligent judgment of online field test.
Alternatively, the field high-safety reliable communication realizes the safety processing of the multi-source data through a safety protocol and a ring network high-speed easy technology.
Optionally, redundancy design is performed on the communication line involved in the test method.
The beneficial effects are that:
the state of equipment in the field test of the signal system is intelligently recorded, managed, judged and stored, so that an intelligent and digital field test method is constructed, the tracing of test data is realized, the complexity of a test flow is simplified, and the field test efficiency is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a digital intelligent testing method for a signal system based on an edge computing platform according to an embodiment of the present application.
Detailed Description
To further clarify the structure and advantages of the present application, a further description of the structure will be provided with reference to the drawings.
Specifically, the signal system digital intelligent testing method based on the edge computing platform provided in the embodiment of the present application, as shown in fig. 1, includes:
s11, acquiring state parameters in the execution test of the field device of the signal system through the front-end sensing device;
s12, judging in the edge computing platform based on the acquired state parameters and combining with the test cases of the signal system and the expected results of the flow;
s13, taking the acquired equipment state and the signal system related log as test execution results.
In implementation, the embodiment of the application provides a signal system digital intelligent test method based on an edge computing platform, which supports a voice reminding function, indexes specific debugging tasks and the like in a voice mode, and can automatically call task calls related to the execution of tests by engineers, such as specific stations, specific time, specific vehicles and the like, and task reminding; according to the method, an object is tested according to a debugging outline, and according to data acquired by front-end sensing equipment, the method intelligently judges a test result and records and updates a test task; after the debugging task is completed, automatically generating and uploading a test report to a background big data platform for auditing and storing.
Optionally, the method includes:
the communication transmission data equipment is controlled to copy the running log, and the operation of the equipment and the equipment state information after the operation are acquired;
and storing and recording the acquired information and uploading the test result in a wired or wireless mode.
In implementation, a signal system field test method based on an edge computing platform is provided, and a test debugging task and a debugging outline form are converted into an off-line state and stored in the edge computing platform through an off-line function of the method, so that intelligent test is executed through the off-line edge computing platform under the condition that a signal equipment room does not have communication with an external network in the initial stage of the test on site; the management, updating and maintenance of the template library of the signal system field debugging outline have corresponding logs.
Optionally, the on-line and off-line signal system on-site test expert library is used for realizing the intelligent judgment of off-line on-site test results and generating a test report.
The method is composed of three independent but closely related program modules, namely a data monitoring program, a main program of the method and a pattern recognition program of the expert, and can realize data analysis/test and the like of field equipment. In the open loop test method, the expert obtains test data according to rule base comparison to obtain a test result; in the closed-loop test method, an expert obtains test experimental data through a simulation test platform, and the data result is obtained by comparing the test data according to the data of a rule base and an experience base so as to judge whether the expert works normally or not. Meanwhile, the expert method is also provided with a version management module, and can verify the data of the rule base and the experience base according to different requirements.
Optionally, the edge computing platform is controlled to obtain data of the field test flow.
In the implementation, the state of equipment in the field test of the signal system is intelligently recorded, managed, judged and stored, so that an intelligent and digital field test method is constructed, the tracing of test data is realized, the complexity of a test flow is simplified, and the field test efficiency is effectively improved;
optionally, the multi-source data cloud platform provides for on-site testing services:
test task management, test case management, test module management, and intelligent judgment of online field test.
In the implementation, the system can be indexed by an engineer index or a voice mode, and can automatically call task calls, such as specific stations, specific time, specific vehicles and the like, related to the execution of tests by the engineer and task reminding; according to the method, an object is tested according to a debugging outline, and according to data acquired by front-end sensing equipment, the method intelligently judges a test result and records and updates a test task; after the debugging task is completed, automatically generating and uploading a test report to a background big data platform for auditing and storing.
Alternatively, the field high-safety reliable communication realizes the safety processing of the multi-source data through a safety protocol and a ring network high-speed easy technology.
In the implementation, the template library of all signal system field test outline is imported and edited and managed through the on-line function, and the debugging templates of the project can be selected and matched in different projects.
For the generation of the signal system field test outline of a specific project, the method can index a corresponding test case library, update all relevant tests to generate a corresponding debugging outline and a total task list according to the requirements of different projects by the on-line function of the method; and automatically calling the debugging cases through the template library to form a debugging task. The edge computing platform can synchronize the optional in-line field test library which can be configured through the built-in program under the condition of public network, and can carry out redundancy design on the communication line related to the test method.
In implementation, the edge computing platform has the function of a security gateway, so that the internal test data of the signal system can be ensured to have higher security and reliability when transmitted through a public network. All recorded data can support intelligent operation and maintenance of a full life cycle, and the method can be used for constructing digital assets from production, installation and debugging of equipment by using historical data of all two-dimension codes of the equipment; the big data platform can provide integrated maintenance management from installation, debugging to operation, so that the full life cycle intelligent operation and maintenance of all the devices of the signal system are realized.
The foregoing description of the embodiments is provided for the purpose of illustration only and is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, alternatives, and alternatives falling within the spirit and scope of the invention.
Claims (7)
1. The signal system digital intelligent testing method based on the edge computing platform is characterized by comprising the following steps of:
acquiring state parameters in the execution test of the signal system field device through the front-end sensing device;
judging in the edge computing platform based on the acquired state parameters and combining the test cases of the signal system and the expected results of the flow;
taking the acquired equipment state and signal system related log as a test execution result;
automatically calling task calling related to the execution of tests by engineers, such as a specific station, a specific time, a specific vehicle and the like, and task reminding; testing the object according to the debugging outline, intelligently judging a test result according to the data acquired by the front-end sensing equipment, and recording and updating a test task;
and converting the test debugging task and the debugging outline form into an offline state through an offline function, and storing the offline state in an edge computing platform, and executing intelligent test through the offline edge computing platform under the condition that the signal equipment room does not have communication with an external network in the initial stage of test.
2. The edge computing platform-based signal system digital intelligent testing method according to claim 1, wherein the method comprises:
the communication transmission data equipment is controlled to copy the running log, and the operation of the equipment and the equipment state information after the operation are acquired;
and storing and recording the acquired information and uploading the test result in a wired or wireless mode.
3. The edge computing platform-based signal system digital intelligent testing method according to claim 1, wherein the method comprises:
and the intelligent judgment of the off-line on-site test result is realized through the on-site test expert library of the on-line and off-line signal system, and a test report is generated.
4. The edge computing platform-based signal system digital intelligent testing method according to claim 1, wherein the method comprises:
and controlling the edge computing platform to acquire the data of the field test flow.
5. The method for digitally and intelligently testing an edge computing platform-based signal system according to claim 1, wherein the multi-source data cloud platform provides for field test services:
test task management, test case management, test module management, and intelligent judgment of online field test.
6. The edge computing platform-based signal system digital intelligent testing method according to claim 1, wherein the method comprises:
the field high-safety reliable communication realizes the safety processing of the multi-source data through a safety protocol and a ring network high-speed easy technology.
7. The method for digitally and intelligently testing an edge computing platform based signaling system according to any one of claims 1 to 6, wherein said method comprises:
and carrying out redundancy design on the communication line related to the test method.
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