CN105099824A - Intelligent remote control fault diagnosing method for distribution network dispatching station - Google Patents
Intelligent remote control fault diagnosing method for distribution network dispatching station Download PDFInfo
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- CN105099824A CN105099824A CN201510500151.8A CN201510500151A CN105099824A CN 105099824 A CN105099824 A CN 105099824A CN 201510500151 A CN201510500151 A CN 201510500151A CN 105099824 A CN105099824 A CN 105099824A
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000003745 diagnosis Methods 0.000 claims abstract description 14
- 238000001914 filtration Methods 0.000 claims abstract description 7
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000012544 monitoring process Methods 0.000 claims abstract description 4
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 230000002123 temporal effect Effects 0.000 claims description 3
- 230000008030 elimination Effects 0.000 abstract description 3
- 238000003379 elimination reaction Methods 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 230000026676 system process Effects 0.000 description 1
Classifications
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
Abstract
The invention discloses an intelligent remote control fault diagnosing method for a distribution network dispatching station. The method comprises the steps of performing whole-process real-time data acquisition on devices of a master station of the distribution station and communication between the devices, detecting and filtering remote control information of the distribution network dispatching station, starting a corresponding analysis task list, acquiring frame source codes of IO network protocol message stream from a network sniffing module through a switch sharing port, providing the frame source codes to an intelligent fault analysis module for fault analysis, classifying and matching the analyzed protocol message frame source codes to match out fault alarm information within a time cycle, and judging the matched fault alarm information to obtain a judged diagnosis result. The method can realize whole-process monitoring of a distribution network, intelligently diagnose remote control faults of grid information, determine the fault condition and analyze the fault reason, so as to quickly check the fault, improve the working efficiency, realize intelligence of fault elimination and ensure safety production of a grid.
Description
Technical field
The present invention relates to electric power network technique field, specifically a kind of distribution scheduling platform remote control trouble intelligent diagnosing method.
Background technology
Greatly increase than before in the frequent degree of power distribution network regulation and control integrated technique back-up system medium-long range straighforward operation and importance, but distribution regulation and control center is in use regulation and control integrated technique back-up system process, time have Remote to operate unsuccessful generation, due to straighforward operation, to relate to link many, failure cause presents diversity and complexity, malfunction elimination and solution often need to expend for a long time, and this directly affects the safety in production of electrical network.
Summary of the invention
The object of the present invention is to provide a kind of distribution scheduling platform remote control trouble intelligent diagnosing method, to solve the problem proposed in above-mentioned background technology.
For achieving the above object, the invention provides following technical scheme:
A kind of distribution scheduling platform remote control trouble intelligent diagnosing method, concrete diagnosis algorithm is as follows:
(1) overall process real-time data acquisition is carried out in the communication between the Network Sniffing module of the fault diagnosis system equipment of standing to power distribution station house-owner and equipment, obtains all IO network stipulations message flows of the preposition module of distribution regulator control system network,
(2) the remote control item monitoring module of fault diagnosis system detects and filters the remote information of distribution scheduling platform, according to preset logical relation and filter faults warning information, when detecting that remote control is selected to occur, start the job order of correspondence analysis immediately, job order comprises the distribution station DTU information of guidance command, remotely-controlled object number and remote control character;
(3) the dynamic packet filtering module of fault diagnosis system gets the frame source code of IO network stipulations message flow from Network Sniffing module by switch shared port, and is supplied to intelligent trouble analysis module,
(4) intelligent trouble analysis module is provided the support of stipulations aspect by Network Sniffing module, and the stipulations message frame source code dynamic packet filtering module provided carries out accident analysis;
(5) intelligent trouble determination module is classified according to the standard failure information preset to the stipulations message frame source code analyzed and mates, to match the fault warning information in the time cycle, then the fault warning information of coupling is judged, draw judgement diagnostic result.
As the further scheme of the present invention: described fault message warning information comprises temporal information, electric network information, facility information and device fault information.
Compared with prior art, the invention has the beneficial effects as follows: the present invention can realize the regulation and control straighforward operation to power distribution network, remote control is returned to school, remote control performs carries out whole process supervision, and the intelligent diagnostics of remote control trouble can be carried out to electric network information, determine fault occurrences, failsafe link location and failure reason analysis, instead of Artificial Diagnosis analysis, achieve and the fault of Remote operation is investigated rapidly, promote power distribution network regulation and control remote control trouble investigation level, promote operating efficiency, realize the intellectuality of fault defect elimination work, promote the O&M efficiency of power distribution network, guarantee the safety in production of electrical network.
Embodiment
Below in conjunction with the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
A kind of distribution scheduling platform remote control trouble intelligent diagnosing method, concrete diagnosis algorithm is as follows:
(1) overall process real-time data acquisition is carried out in the communication between the Network Sniffing module of the fault diagnosis system equipment of standing to power distribution station house-owner and equipment, obtains all IO network stipulations message flows of the preposition module of distribution regulator control system network,
(2) the remote control item monitoring module of fault diagnosis system detects and filters the remote information of distribution scheduling platform, according to preset logical relation and filter faults warning information, when detecting that remote control is selected to occur, start the job order of correspondence analysis immediately, job order comprises the distribution station DTU information of guidance command, remotely-controlled object number and remote control character; Fault message warning information comprises temporal information, electric network information, facility information and device fault information;
(3) the dynamic packet filtering module of fault diagnosis system gets the frame source code of IO network stipulations message flow from Network Sniffing module by switch shared port, and is supplied to intelligent trouble analysis module,
(4) intelligent trouble analysis module is provided the support of stipulations aspect by Network Sniffing module, and the stipulations message frame source code dynamic packet filtering module provided carries out accident analysis, and its analytic process is as follows:
1) phenomenon of the failure is that remote control is selected: when producing the item of remote control alternative mistake, corresponding failsafe link orientates real-time database module-preposition module as; When remote control is selected to send successfully, but remote control selects to return to school time-out, and when not detecting that remote control select command frame is descending, corresponding failsafe link is orientated preposition module as and do not exported;
2) phenomenon of the failure is that remote control is selected to return to school: when remote control is selected to send successfully, remote control select command frame is descending, but remote control selection is returned to school time-out, and does not detect remote control and to return to school frame, and the failsafe link of correspondence is orientated preposition not receiving as and returned to school; When remote control is selected to send successfully, remote control select command frame is descending, but remote control selection is returned to school mistake, and detects remote control and return to school when returning error code in frame, and the failsafe link of correspondence is orientated the preposition mistake that receives as and returned to school; When remote control is selected to send successfully, remote control select command frame is descending, and it is correct to detect remote control frame of returning to school, but does not receive remote control and select to return to school correct, and the failsafe link of correspondence orientates item generation of returning to school as, but unsuccessful transmission;
3) phenomenon of the failure is that remote control performs transmission: when HMI points out the generation of remote control fill order unsuccessful, corresponding failsafe link orientates HMI--real-time database module as; When prompting fill order issues time-out, corresponding failsafe link orientates real-time database module-preposition module as; When preceding step completes, but do not detect that remote control performs frame and issues, corresponding failsafe link is orientated preposition module as and is not exported;
(5) intelligent trouble determination module is classified according to the standard failure information preset to the stipulations message frame source code analyzed and mates, to match the fault warning information in the time cycle, then the fault warning information of coupling is judged, draw judgement diagnostic result.
To those skilled in the art, obviously the invention is not restricted to the details of above-mentioned one exemplary embodiment, and when not deviating from spirit of the present invention or essential characteristic, the present invention can be realized in other specific forms.Therefore, no matter from which point, all should embodiment be regarded as exemplary, and be nonrestrictive, scope of the present invention is limited by claims instead of above-mentioned explanation, and all changes be therefore intended in the implication of the equivalency by dropping on claim and scope are included in the present invention.
Claims (2)
1. a distribution scheduling platform remote control trouble intelligent diagnosing method, is characterized in that, concrete diagnosis algorithm is as follows:
(1) overall process real-time data acquisition is carried out in the communication between the Network Sniffing module of the fault diagnosis system equipment of standing to power distribution station house-owner and equipment, obtains all IO network stipulations message flows of the preposition module of distribution regulator control system network,
(2) the remote control item monitoring module of fault diagnosis system detects and filters the remote information of distribution scheduling platform, according to preset logical relation and filter faults warning information, when detecting that remote control is selected to occur, start the job order of correspondence analysis immediately, job order comprises the distribution station DTU information of guidance command, remotely-controlled object number and remote control character;
(3) the dynamic packet filtering module of fault diagnosis system gets the frame source code of IO network stipulations message flow from Network Sniffing module by switch shared port, and is supplied to intelligent trouble analysis module,
(4) intelligent trouble analysis module is provided the support of stipulations aspect by Network Sniffing module, and the stipulations message frame source code dynamic packet filtering module provided carries out accident analysis;
(5) intelligent trouble determination module is classified according to the standard failure information preset to the stipulations message frame source code analyzed and mates, to match the fault warning information in the time cycle, then the fault warning information of coupling is judged, draw judgement diagnostic result.
2. distribution scheduling platform remote control trouble intelligent diagnosing method according to claim 1, it is characterized in that, described fault message warning information comprises temporal information, electric network information, facility information and device fault information.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510500151.8A CN105099824A (en) | 2015-08-17 | 2015-08-17 | Intelligent remote control fault diagnosing method for distribution network dispatching station |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510500151.8A CN105099824A (en) | 2015-08-17 | 2015-08-17 | Intelligent remote control fault diagnosing method for distribution network dispatching station |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106780138A (en) * | 2016-12-13 | 2017-05-31 | 国网北京市电力公司 | Distribution network failure method for early warning and device |
| CN109713791A (en) * | 2018-12-21 | 2019-05-03 | 国网四川省电力公司电力科学研究院 | The diagnostic method of smart grid remote control command exception |
| CN114760329A (en) * | 2020-12-25 | 2022-07-15 | 南京南瑞继保电气有限公司 | Equipment automatic modeling preposed acquisition system based on MQTT |
| CN115002169A (en) * | 2022-08-04 | 2022-09-02 | 深圳市共赢晶显技术有限公司 | Remote online monitoring method for office equipment |
| CN115955414A (en) * | 2023-03-13 | 2023-04-11 | 广东电网有限责任公司佛山供电局 | Distribution network automation terminal remote control abnormity analysis method and related device |
-
2015
- 2015-08-17 CN CN201510500151.8A patent/CN105099824A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106780138A (en) * | 2016-12-13 | 2017-05-31 | 国网北京市电力公司 | Distribution network failure method for early warning and device |
| CN109713791A (en) * | 2018-12-21 | 2019-05-03 | 国网四川省电力公司电力科学研究院 | The diagnostic method of smart grid remote control command exception |
| CN109713791B (en) * | 2018-12-21 | 2023-02-28 | 国网四川省电力公司电力科学研究院 | Diagnostic method for remote control command abnormity of smart power grid |
| CN114760329A (en) * | 2020-12-25 | 2022-07-15 | 南京南瑞继保电气有限公司 | Equipment automatic modeling preposed acquisition system based on MQTT |
| CN114760329B (en) * | 2020-12-25 | 2023-11-17 | 南京南瑞继保电气有限公司 | Automatic modeling front-end acquisition system of device based on MQTT |
| CN115002169A (en) * | 2022-08-04 | 2022-09-02 | 深圳市共赢晶显技术有限公司 | Remote online monitoring method for office equipment |
| CN115955414A (en) * | 2023-03-13 | 2023-04-11 | 广东电网有限责任公司佛山供电局 | Distribution network automation terminal remote control abnormity analysis method and related device |
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