CN102035253A - Memorable and learnable test method and device for power grid video and environment monitoring system - Google Patents

Memorable and learnable test method and device for power grid video and environment monitoring system Download PDF

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Publication number
CN102035253A
CN102035253A CN 201010525823 CN201010525823A CN102035253A CN 102035253 A CN102035253 A CN 102035253A CN 201010525823 CN201010525823 CN 201010525823 CN 201010525823 A CN201010525823 A CN 201010525823A CN 102035253 A CN102035253 A CN 102035253A
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CN
China
Prior art keywords
test
testing scheme
scheme
testing
existing
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Pending
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CN 201010525823
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Chinese (zh)
Inventor
钟清
高新华
谢善益
高雅
吴军
金杰
冯贵宾
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ZHEJIANG DAHUA SYSTEM ENGINEERING CO LTD
Electric Power Research Institute of Guangdong Power Grid Co Ltd
Original Assignee
ZHEJIANG DAHUA SYSTEM ENGINEERING CO LTD
Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Application filed by ZHEJIANG DAHUA SYSTEM ENGINEERING CO LTD, Electric Power Research Institute of Guangdong Power Grid Co Ltd filed Critical ZHEJIANG DAHUA SYSTEM ENGINEERING CO LTD
Priority to CN 201010525823 priority Critical patent/CN102035253A/en
Publication of CN102035253A publication Critical patent/CN102035253A/en
Pending legal-status Critical Current

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    • Y02B70/3266
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/242Home appliances

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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a memorable and learnable test method and a memorable and learnable test device for a power grid video and environment monitoring system. The method is characterized by comprising the following steps of: configuring a complete test scheme which comprises the steps of adding a necessary test scheme, an existing test scheme and a newly-added test scheme; storing the newly-added test scheme as an execution test scheme of the existing test scheme; and judging the importance degree of the test scheme according to a test result and storing. During a next test, the test sequence of the existing test scheme is based on the importance degree of each scheme. A test scheme which is configured by test personnel can be stored and analyzed, so that memorizing and learning functions are achieved, the test scheme can be directly used conveniently during the next test, test time is saved and test efficiency is improved.

Description

But the method for testing of mnemonic learning and device in electrical network video and the environmental monitoring system
Technical field
The present invention relates to a kind of method of testing and device, the method for testing and the device of particularly a kind of electrical network video and environmental monitoring system.
Background technology
For guaranteeing the safe operation of electricity grid substation, video and environmental monitoring system are housed usually in the electricity grid substation.With the Guangdong Power Grid is example, and the video of Guangdong Power Grid transformer station and the mechanism of environmental monitoring system comprise provincial main website, local level main website and each station end system (comprising the inner various encoders of station end, transducer etc.); Provincial main websites at different levels link to each other with the local level main website by communication network, and the local level main website links to each other with each station end system again.At present, the equipment that exists many different manufacturers to produce on the market, the equipment of each producer all there are differences.So when the equipment of different manufacturers inserts same system, cause compatibility issue easily, thereby make the system can't operate as normal.Therefore, if can before these equipment access systems, carry out a test, go measurement equipment whether can insert electrical network video and environmental monitoring system with unified standard, just can avoid compatibility issue.And wish that also can test which aspect of the equipment of drawing does not meet standard, so that equipment is transformed, thereby more existing equipment can be utilized.But because at different tested objects, required test event is difference to some extent, when testing, needs the tester to dispose complete testing scheme at every turn, badly influences tester's operating efficiency.
Summary of the invention
The objective of the invention is to, but the method for testing and the device of mnemonic learning in a kind of electrical network video and the environmental monitoring system are provided.It can carry out inventory analysis to the testing scheme that the tester had disposed, and reaches the function of mnemonic learning, directly uses when being convenient to test next time, has saved the time of test, has promoted the operating efficiency of test.
Technical scheme of the present invention:
But the method for testing of mnemonic learning is characterized in that in electrical network video and the environmental monitoring system, and described method comprises:
Dispose complete testing scheme, comprise and add indispensable testing scheme and existing testing scheme, and newly-increased testing scheme;
To increase testing scheme newly and be stored as existing testing scheme
Carry out testing scheme;
And judge the significance level and the storage of testing scheme according to test result.
The testing sequence of existing testing scheme was with reference to the significance level of each scheme when tested next time.
But in aforesaid electrical network video and the environmental monitoring system in the method for testing of mnemonic learning, the method of described newly-increased testing scheme is: select required test case in the test case tabulation, and definite shared weight, number of run and importance of each test case, and total execution number of times of newly-increased testing scheme.
But in aforesaid electrical network video and the environmental monitoring system in the method for testing of mnemonic learning, the method of described execution testing scheme is: the testing scheme of test indispensability earlier, if test result is not for passing through, then do not continue to carry out behavioral test, to save the testing time, existing testing scheme is tested successively by significance level, if test result does not then continue to carry out behavioral test for not passing through.
But in aforesaid electrical network video and the environmental monitoring system in the method for testing of mnemonic learning, describedly judge that according to test result the method for the significance level of testing scheme is: for test result is the add up weight of its significance level of unsanctioned existing testing scheme.
But the testing apparatus of mnemonic learning in the electrical network video of realization preceding method and the environmental monitoring system, it comprises:
The arrangements module is used to select to add indispensable testing scheme and existing testing scheme, and newly-increased testing scheme;
The scheme memory module is used for newly-increased testing scheme is stored as existing testing scheme;
Executive Module, the configuration module that carries into execution a plan add and newly-increased testing scheme;
Accumulator module, being used for test result is the add up weight of its significance level of unsanctioned existing testing scheme.
But in the testing apparatus of mnemonic learning, described Executive Module also comprises an order module in aforesaid electrical network video and the environmental monitoring system, is used for existing testing scheme is sorted by importance degree, when being convenient to test, tests successively by importance degree.
Compared with prior art, the present invention is by storing memory to the testing scheme that disposed, and directly call when testing convenient next time, saved the testing time greatly, promoted testing efficiency.And the present invention also tests successively according to the significance level of testing scheme, makes to occur easily can finishing test to intransitable tested object faster so not by result's testing scheme test earlier, has saved the testing time greatly.And the present invention is also in continuous test, and test result for the add up weight of significance level of the testing scheme that does not pass through, is formed a process of constantly learning, for the ordering of testing scheme provides foundation.
Description of drawings
Fig. 1 is the structural representation of electrical network video and environmental monitoring system;
Fig. 2 is a workflow diagram of the present invention;
Fig. 3 is an apparatus structure schematic diagram of the present invention.
Mark in the accompanying drawing: 1-arrangements module, 2-scheme memory module, 3-Executive Module, 4-accumulator module, 5-order module.
Embodiment
The present invention is further illustrated below in conjunction with drawings and Examples, but not as the foundation to the present invention's restriction.
Embodiment
Electrical network video and environmental monitoring system (its structure as shown in Figure 1), comprise provincial master supervisory system (provincial main website), provincial master supervisory system is connected with local level master supervisory system (local level main website) by the IP communication network, and the local level master supervisory system is connected with station end supervisory control system by the IP communication network; Stand the end supervisory control system (end system of standing) be used to monitor transformer station's live video and environmental information, and with information uploading to the local level master supervisory system; The local level master supervisory system is used to monitor the real-time monitor message of a plurality of stations end supervisory control system, and with information uploading to provincial master supervisory system; Provincial master supervisory system is used to monitor the real-time monitor message of a plurality of local level master supervisory systems.The end supervisory control system of standing comprises station end processing unit, and the end processing unit of standing is connected with video monitoring equipment, environmental information collecting device, the network equipment and memory device; The end processing unit of standing is used for the real-time processing and the historical information retrieval of video information, voice messaging and environmental information; Video monitoring equipment is used to monitor the real-time video information of transformer station; The environmental information collecting device is used to gather the real time environment information of transformer station; The network equipment is used for carrying out exchanges data, information sharing with higher level or outside; Memory device is used for store video information, environmental information and warning message.The end processing unit of standing also is connected with alarm device, and alarm device comprises station end system software and hardware abnormality alarming and monitoring alarm, and the monitoring alarm comprises environmental information abnormality alarming, fire-fighting alarm, breaks in alarm and video unusual fluctuation alarm.The end processing unit of standing adopts embedded Linux system.Video monitoring equipment comprises network high-speed ball, network middling speed ball and network fixed cameras; The environmental information collecting device comprises temperature sensor, air velocity transducer, humidity sensor, water sensor, SF6 transducer, gate inhibition and infrared correlation probe.Local level master supervisory system and provincial master supervisory system monitoring station end supervisory control system, be on transformer station's floor plan of electronic chart carrying, to click the model that the supervisory control system primary equipment is held at the station, monitor the multi-angle real-time video of a plurality of video cameras of primary equipment.Local level master supervisory system and provincial master supervisory system also comprise the management of video device, and the manual video recording of Long-distance Control station end supervisory control system, regularly video recording, alarm triggered video recording and picture unusual fluctuation detect video recording.Local level master supervisory system and provincial master supervisory system also comprise the Report Server Management device, realize real time record environmental data, measurement period environmental data and call the history environment data by the form that generates form.
But the method for testing of mnemonic learning in electrical network video and the environmental monitoring system, shown in Fig. 1 step, described method comprises:
Dispose complete testing scheme, comprise and add indispensable testing scheme and existing testing scheme, and newly-increased testing scheme;
To increase testing scheme newly and be stored as existing testing scheme
Carry out testing scheme;
And judge the significance level and the storage of testing scheme according to test result.
The testing sequence of existing testing scheme was with reference to the significance level of each scheme when tested next time.
The method of described newly-increased testing scheme is: select required test case in the test case tabulation, and determine shared weight, number of run and the importance of each test case and total execution number of times of newly-increased testing scheme.
The method of described execution testing scheme is: the testing scheme of test indispensability earlier, if test result does not then continue to carry out behavioral test for not passing through, to save the testing time, existing testing scheme is tested successively by significance level, if test result does not then continue to carry out behavioral test for not passing through.
Describedly judge that according to test result the method for the significance level of testing scheme is: for test result is the add up weight of its significance level of unsanctioned existing testing scheme.
But the testing apparatus of mnemonic learning in the electrical network video of realization preceding method and the environmental monitoring system, as shown in Figure 2, it comprises:
Arrangements module 1 is used to select to add indispensable testing scheme and existing testing scheme, and newly-increased testing scheme;
Scheme memory module 2 is used for newly-increased testing scheme is stored as existing testing scheme;
Executive Module 3, the configuration module 1 that carries into execution a plan adds and newly-increased testing scheme;
Accumulator module 4, being used for test result is the add up weight of its significance level of unsanctioned existing testing scheme.
Described Executive Module 3 also comprises an order module 5, is used for existing testing scheme is sorted by importance degree, when being convenient to test, tests successively by importance degree.

Claims (6)

1. but the method for testing of mnemonic learning in electrical network video and the environmental monitoring system is characterized in that described method comprises:
Dispose complete testing scheme, comprise and add indispensable testing scheme and existing testing scheme, and newly-increased testing scheme;
To increase testing scheme newly and be stored as existing testing scheme
Carry out testing scheme;
And judge the significance level and the storage of testing scheme according to test result.
The testing sequence of existing testing scheme was with reference to the significance level of each scheme when tested next time.
2. but the method for testing of mnemonic learning in electrical network video according to claim 1 and the environmental monitoring system, it is characterized in that, the method of described newly-increased testing scheme is: select required test case in the test case tabulation, and definite shared weight, number of run and importance of each test case, and total execution number of times of newly-increased testing scheme.
3. but the method for testing of mnemonic learning in electrical network video according to claim 1 and the environmental monitoring system, it is characterized in that, the method of described execution testing scheme is: the testing scheme of test indispensability earlier, if test result is not for passing through, then do not continue to carry out behavioral test, to save the testing time, existing testing scheme is tested successively by significance level, if test result does not then continue to carry out behavioral test for not passing through.
4. but the method for testing of mnemonic learning in electrical network video according to claim 1 and the environmental monitoring system, it is characterized in that, describedly judge that according to test result the method for the significance level of testing scheme is: for test result is the add up weight of its significance level of unsanctioned existing testing scheme.
5. but realize the testing apparatus of mnemonic learning in the electrical network video of the described method of the arbitrary claim of claim 1~4 and the environmental monitoring system, it is characterized in that it comprises:
Arrangements module (1) is used to select to add indispensable testing scheme and existing testing scheme, and newly-increased testing scheme;
Scheme memory module (2) is used for newly-increased testing scheme is stored as existing testing scheme;
Executive Module (3), the configuration module that carries into execution a plan (1) add and newly-increased testing scheme;
Accumulator module (4), being used for test result is the add up weight of its significance level of unsanctioned existing testing scheme.
6. but the testing apparatus of mnemonic learning in electrical network video according to claim 5 and the environmental monitoring system, it is characterized in that: described Executive Module (3) also comprises an order module (5), be used for existing testing scheme is sorted by importance degree, when being convenient to test, test successively by importance degree.
CN 201010525823 2010-10-29 2010-10-29 Memorable and learnable test method and device for power grid video and environment monitoring system Pending CN102035253A (en)

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CN 201010525823 CN102035253A (en) 2010-10-29 2010-10-29 Memorable and learnable test method and device for power grid video and environment monitoring system

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Application Number Priority Date Filing Date Title
CN 201010525823 CN102035253A (en) 2010-10-29 2010-10-29 Memorable and learnable test method and device for power grid video and environment monitoring system

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103678119A (en) * 2013-10-31 2014-03-26 国家电网公司 Power-system-oriented transformer substation simulation software test system and test method thereof
CN108958216A (en) * 2018-06-06 2018-12-07 南京国电南自电网自动化有限公司 The automatic checkout system and method for new energy AGC or AVC control system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103678119A (en) * 2013-10-31 2014-03-26 国家电网公司 Power-system-oriented transformer substation simulation software test system and test method thereof
CN103678119B (en) * 2013-10-31 2016-12-07 国家电网公司 Substation simulation software testing system and method for testing thereof towards power system
CN108958216A (en) * 2018-06-06 2018-12-07 南京国电南自电网自动化有限公司 The automatic checkout system and method for new energy AGC or AVC control system

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Application publication date: 20110427