CN110956282A - Power distribution automation defect management system and method - Google Patents
Power distribution automation defect management system and method Download PDFInfo
- Publication number
- CN110956282A CN110956282A CN201911105071.7A CN201911105071A CN110956282A CN 110956282 A CN110956282 A CN 110956282A CN 201911105071 A CN201911105071 A CN 201911105071A CN 110956282 A CN110956282 A CN 110956282A
- Authority
- CN
- China
- Prior art keywords
- defect
- information
- defects
- defect information
- distribution automation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000007547 defect Effects 0.000 title claims abstract description 341
- 238000000034 method Methods 0.000 title abstract description 31
- 238000007689 inspection Methods 0.000 claims abstract description 26
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 15
- 238000010219 correlation analysis Methods 0.000 claims abstract description 11
- 238000012423 maintenance Methods 0.000 claims abstract description 9
- 238000007726 management method Methods 0.000 claims description 53
- 230000003993 interaction Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 230000008439 repair process Effects 0.000 claims description 7
- 238000012098 association analyses Methods 0.000 claims description 4
- 230000002452 interceptive effect Effects 0.000 claims description 4
- 230000008030 elimination Effects 0.000 abstract description 19
- 238000003379 elimination reaction Methods 0.000 abstract description 19
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 238000012216 screening Methods 0.000 abstract 1
- 230000008569 process Effects 0.000 description 13
- 230000002159 abnormal effect Effects 0.000 description 8
- 230000005856 abnormality Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000010276 construction Methods 0.000 description 3
- 238000012217 deletion Methods 0.000 description 3
- 230000037430 deletion Effects 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 238000011144 upstream manufacturing Methods 0.000 description 3
- 230000000739 chaotic effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000011664 signaling Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 208000032953 Device battery issue Diseases 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000003999 initiator Substances 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000009290 primary effect Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
-
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Power Engineering (AREA)
- Public Health (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a power distribution automation defect management system and a method, which relate to the field of power systems and are used for realizing the following steps: the defect information of the system is recorded into the management system according to the detection information sent back by the detection module or the field inspection, and the recorded defect information is subjected to secondary screening, presented to maintenance personnel and issued to a corresponding task list. The invention has the beneficial effects that: through defect stability, correlation analysis and influence analysis, the positioning and defect elimination efficiency of defect sources is accelerated, and the reasonable time-saving economical efficiency of maintenance is improved.
Description
Technical Field
The invention relates to the field of power systems, in particular to a power distribution automation defect management system and method.
Background
With the primary effect of the automatic construction and application of the power distribution of the national grid company, the national grid company is also better concerned with the improvement of the technical level of the automatic redistribution and the actual application effect. In the aspects of strengthening power distribution automation construction and operation and maintenance quality control, the working thought of power distribution automation practical acceptance and supervision and inspection is formulated, and the standard requirement of field practical acceptance is clearly provided.
Discover in distribution automation practicality promotes management and control work, distribution automation defect condition is more serious, if terminal communication is stable inadequately, the wrong report, miss reporting, the telemetry data quality is low, remote control utilization is on the low side and the like problem is general, it is the basic obstacle that distribution automation practicality level promotes, distribution automation defect management is to the operation tour, the electric wire netting equipment defect of discovering in the operation work such as maintenance is taken notes and is managed, trail electric wire netting equipment from discovering the defect to eliminating the whole process of defect, help relevant staff handles the equipment defect.
Distribution automation defects can be classified into fault and outage type defects and other daily distribution automation defects in emergency. The fault power failure type defect belongs to the category of the service flow of the allocation and preemption, and is not discussed here. Distribution automation flaws discussed herein are distribution network day to day flaws beyond outage-type first aid repair.
The traditional defect management system mainly depends on manual input in the whole closed-loop management and control process of defect discovery, registration and circulation, the process is more complicated, and the efficiency is lower. In addition, the power distribution network terminal equipment has the characteristics of large quantity, wide geographical distribution, poor operating environment and the like, and the power distribution network terminal equipment manufacturers have a lot of power distribution network terminal equipment, and the quality is uneven. The frequency of defect elimination efficiency and defect discovery in the mode is seriously unbalanced, and finally the practical level of power distribution automation is difficult to greatly improve.
Most of the current products are mainly improved in terms of improving the defect discovery efficiency. However, in the practical initial stage of distribution automation, after the efficiency is improved by automatic inspection, the discovered defects can reach hundreds or even thousands of defects every day, and the efficiency eliminated by manual analysis is far from reaching.
Disclosure of Invention
In order to solve at least one of the technical problems in the prior art, the invention aims to provide a power distribution automation defect management system and a power distribution automation defect management method.
The first aspect of the technical scheme adopted by the invention to solve the problems is as follows: a power distribution automation defect management system, comprising: the defect input module is used for inputting the defect information of the system into the management system according to the detection information sent back by the detection module or the field inspection; the defect management module is used for managing the recorded defect information, analyzing the stability, association analysis and influence of the defect, and simultaneously generating a corresponding task list, setting a processing priority and modifying the defect information; and the defect repairing module is used for executing repairing operation on the defects according to the defect information in the task list and the solution.
Has the advantages that: through defect stability, correlation analysis and influence analysis, the positioning and defect elimination efficiency of defect sources is accelerated, and the reasonable time-saving economical efficiency of maintenance is improved.
According to a first aspect of the invention, the defect entry module further comprises: and the automatic inspection unit is used for issuing inspection tasks to field inspection personnel according to the specified inspection rules.
According to the first aspect of the invention, the defect management module further comprises: the cluster association unit is used for performing cluster association on all the defects according to the defect characteristics in the defect information to obtain defect association information; the input analysis unit is used for clustering the defects according to a specified rule, performing correlation analysis according to a clustering result and writing an analysis result into the task list; and the allocation unit is used for issuing the task list to the designated maintenance personnel and executing forwarding and returning operations on the task list.
According to the first aspect of the invention, the defect management module further comprises: the defect interaction unit is used for selecting defect information interacted with a user according to a specified interaction rule; the defect classification unit is used for carrying out classification management on the defect information according to a specified classification rule; and the historical defect information storage unit is used for storing the generated but recovered defect information according to classification and time sequence and opening inquiry authority.
According to the first aspect of the invention, the interaction rule comprises: setting the defect which is not recovered within a certain time as interactive defect information; and setting the defect which is not recovered within a certain time as non-interactable defect information.
According to the first aspect of the invention, the defect management module further comprises: the defect information updating unit is used for traversing all the defect information according to a certain period and changing the defect information according to a defect judgment rule; wherein the judgment rule comprises: recording the defects generated by the same defect source in the defect information into the defect information of the corresponding defect source; and recording the defects generated by the same defect source in the defect information into the defect information of the corresponding defect source within the specified time after the current defects are recovered.
According to the first aspect of the invention, the defect management module further comprises: the defect classification unit is used for classifying the priority of the defects according to the defect source and the defect type and creating a task list according to the priority degree; and the defect case-canceling unit is used for canceling the defects which do not occur again within a certain time after the defects are recovered.
The second aspect of the technical scheme adopted by the invention to solve the problems is as follows: a power distribution automation defect management method, comprising the steps of: s10, the defect entry module enters the defect information of the system into the management system according to the detection information sent back by the detection module or the field inspection; s20, the defect management module manages the recorded defect information, including generating a corresponding task list, setting a processing priority and modifying the defect information; and S30, the defect repair module executes repair operation on the defect according to the defect information in the task list and the solution.
Has the advantages that: through defect stability, correlation analysis and influence analysis, the positioning and defect elimination efficiency of defect sources is accelerated, and the reasonable time-saving economical efficiency of maintenance is improved.
Drawings
The invention is further described below with reference to the accompanying drawings and examples;
FIG. 1 is a schematic diagram of a system architecture according to a preferred embodiment of the present invention;
FIG. 2 is a schematic flow diagram of a method according to a preferred embodiment of the present invention;
fig. 3 is a schematic diagram of defect information interaction according to a preferred embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the present preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like elements throughout.
Referring to fig. 1, there is a schematic diagram of a system architecture according to a preferred embodiment of the present invention:
the defect input module is used for inputting the defect information of the system into the management system according to the detection information sent back by the detection module or the field inspection;
the defect management module is used for managing the input defect information, analyzing the stability, association analysis and influence of the defect, and simultaneously generating a corresponding task list, setting a processing priority and modifying the defect information;
and the defect repairing module is used for executing repairing operation on the defects according to the defect information in the task list and the solution.
The defect entry module further comprises:
and the automatic inspection unit is used for issuing inspection tasks to field inspection personnel according to the specified inspection rules.
The defect management module further comprises:
the cluster association unit is used for performing cluster association on all the defects according to the defect characteristics in the defect information to obtain defect association information;
the input analysis unit is used for clustering the defects according to a specified rule, performing correlation analysis according to a clustering result and writing an analysis result into the task list;
and the allocation unit is used for issuing the task list to the designated maintenance personnel and executing forwarding and returning operations on the task list.
The defect management module further comprises:
the defect interaction unit is used for selecting defect information interacted with a user according to a specified interaction rule;
the defect classification unit is used for carrying out classification management on the defect information according to a specified classification rule;
and the historical defect information storage unit is used for storing the generated but recovered defect information according to classification and time sequence and opening inquiry authority.
The interaction rules include:
setting the defect which is not recovered within a certain time as interactive defect information;
and setting the defect which is not recovered within a certain time as non-interactable defect information.
The defect management module further comprises:
the defect information updating unit is used for traversing all the defect information according to a certain period and changing the defect information according to a defect judgment rule;
wherein the judgment rule comprises:
recording the defects generated by the same defect source in the defect information into the defect information of the corresponding defect source;
and recording the defects generated by the same defect source in the defect information into the defect information of the corresponding defect source within the specified time after the current defects are recovered.
The defect management module further comprises:
the defect classification unit is used for classifying the priority of the defects according to the defect source and the defect type and creating a task list according to the priority degree;
and the defect case-canceling unit is used for canceling the defects which do not occur again within a certain time after the defects are recovered.
Referring to fig. 2, a schematic flow chart of a method according to a preferred embodiment of the present invention includes the following steps:
s10, the defect entry module enters the defect information of the system into the management system according to the detection information sent back by the detection module or the field inspection;
s20, the defect management module manages the recorded defect information, including generating a corresponding task list, setting a processing priority and modifying the defect information;
and S30, the defect repair module executes repair operation on the defect according to the defect information in the task list and the solution.
In the field of distribution automation, common defects are that the defects of the terminal class mainly include: power failure, battery failure, remote signaling jitter, data loss, etc.; the defects of the master station class mainly comprise: server abnormity, CPU load abnormity, remote control failure, terminal recall and test failure, terminal time synchronization failure and the like; the defects of the communication class mainly include: long-time disconnection, frequent communication interruption, standard exceeding of wireless flow and the like.
The embodiment of the invention provides a method for improving the practicability and the defect elimination efficiency of distribution automation defects from the links of defect discovery, cluster association analysis, defect registration, defect closed-loop management flow and the like.
1) The distribution automation terminal is also relatively large in randomness in the representation of the defect state, so that the defect discovery efficiency is obviously accelerated only by simply listing the automatic inspection states, even a more chaotic scene can be caused in terms of the whole defect elimination efficiency, and the real important and urgent defect is not easy to be discovered in time. Therefore, the defects of the automatic inspection of the system should be layered and presented to the user, and the unstable state of the defects should be filtered as much as possible.
2) Due to wide geographical distribution of equipment, most of time for eliminating defects is consumed on the journey, and the defects which can be really eliminated every day are very limited. Therefore, on the basis of clustering and correlation analysis of defects, points which can improve efficiency should be mined by combining the characteristics of the power distribution network, and on the basis of the objective condition, the repeated round trip distance consumption is reduced as much as possible.
3) The system should integrate the actual situation when automatically performing defect level classification. For example, if an important user, such as a terminal of a high-speed rail station line in a certain city, is offline for 2 hours, it is more urgent to take a terminal offline 48 in a suburb county. Similarly, it is obvious which is more urgent that the three remote terminals are offline and the fault indicator is offline.
4) Distribution automation defect elimination has a common characteristic that almost 95% of distribution automation defects can be eliminated in an electrified way, the process of PMS2.0 defect management is referred to and simplified, and defect registration and process circulation are accelerated.
The terminal operation stability of the distribution automation is worse than that of the transformation automation, and the expression of the defect state is relatively larger at random, so that the defect is registered and eliminated if the abnormal state occurs or lasts for a certain time, obviously, the defect cannot be eliminated, and even the defect is analyzed and registered. Therefore, it is obvious that simply listing all abnormal states through the automatic patrol rule merely accelerates the defect discovery efficiency, and even may cause a more chaotic scene in terms of the whole defect elimination efficiency, and really important and urgent defects are not easily discovered in time. Therefore, defects for automatic inspection of the system should be presented to the user in a layered manner, such as defects that satisfy the defect judgment rules and have not been automatically recovered, and defects that satisfy the defect judgment rules but have been automatically recovered before deletion is scheduled. Therefore, the orderly development of defect elimination work when the large-quantity state of the terminal in the early construction period is very unstable can be met, and defects can be eliminated in time after the system runs stably.
For defects in which deletion has been registered, new defect records should not be generated when an abnormality occurs again before complete deletion. The situation that such a scenario is often generated in an actual field may be mainly due to poor operating environment and poor quality of the power distribution network equipment, for example, when a contact of the terminal is touched in a defect eliminating process, an abnormal state is suddenly recovered in a false manner, and then an abnormality occurs again. Until the defect is completely removed from the archive, if a defect occurs again after running for a period of time, a new exception record is generated again at this time.
The automatic recovery of the defect can not be considered to be recovered due to the over-recovery state, when the defect is eliminated on the actual site, the defect of site processing can also often occur, the system state is recovered to be normal, but the abnormality occurs within half an hour, several hours or the day after the personnel just leave the site, and the real root cause of the problem is not found in the elimination processing before the actual site, so a certain 'observation period' needs to be set for the judgment on the recovery of the defect, so that the defect can be really solved.
Because the distribution network is wide in equipment geographic distribution, according to the feedback of personnel on the site of the first-line defect elimination, one distribution work class is only responsible for approximately 2-3 groups of automatic defect treatment, and at most 2-6 terminal sites can be reached within one day for the defect elimination treatment, wherein most of time is consumed on the journey. Therefore, in the clustering and correlation analysis of defects, points which can improve the efficiency should be mined by combining the characteristics of the power distribution network, for example, the defect correlation of the same line and the defect correlation of the same station room are provided by combining the characteristics. At present, a large number of two-remote terminals adopt a wireless communication mode, so that correlation analysis of defects within 1 kilometer is provided, and a clustering correlation analysis method of the same manufacturer, the same type of defect analysis and the like is provided for finding family defects. And the possible analysis of the defect reasons and the influence is provided by combining with the conventional experience, so that the defect eliminating personnel can master the detailed information of the defect as soon as possible.
Although there is a basic division of the urgency of different defects in the distribution automation defect management procedure, this is only a guiding principle, and in order to better guide the arrangement of the defect elimination work, the system needs to consider many practical situations when automatically dividing the defect level. For example, the defect of offline terminal is that the offline time exceeds 48 hours, and whether the defect is an important line or a user is not distinguished, and if the terminal of the important user, such as a high-speed rail station line in a certain suburb city, is offline for 2 hours, it is more urgent and obvious which terminal is offline for 48 hours. Similarly, it is obvious which is more urgent that the three remote terminals are offline and the fault indicator is offline.
When the defects are registered, the defects can be quickly registered in the process management, batch registration can be carried out by combining the correlation analysis results of the defects instead of manually recording a plurality of related problems in one defect, the registration efficiency of the defects is accelerated, and meanwhile, defect eliminating personnel is guided to quickly solve the similar problems according to the characteristics, namely the defect eliminating efficiency is accelerated, the workload result of the defect eliminating personnel can be reflected in time, and the enthusiasm of the defect eliminating personnel is improved.
Distribution automation defect elimination has a common characteristic that almost 95% of distribution automation defects can be eliminated in an electrified way, and some defects even modify point tables, attributes and the like, so that the defect closed-loop management process can refer to the PMS2.0 defect management process and is simplified, and the circulation efficiency of the defect elimination closed-loop process is improved.
Finally, efficiency is improved in the whole process of defect discovery, analysis, defect elimination and defect elimination, the efficiency of distribution automation defect processing is improved in a real sense, and the practical level of distribution automation is improved.
In the aspect of automatic system defect inspection, there are 3 automatic inspection of major and minor 25 defects, specifically referring to fig. 3, an interactive interface schematic diagram of defect information:
in fact, there are more detailed classifications in the 25 subclasses, such as some terminal signal leakage or misoperation during line fault, handle state, etc., and further, for example, logic abnormality that station room equipment will be grounded and switched on but the line is electrified, logic abnormality of main and auxiliary nodes of double-point remote signaling equipment, which is classified into current, electrified voltage loss, logical inconsistency of upstream and downstream currents, short-time flow burst, long-time commodity flow, etc. And the abnormal state of the equipment is centrally found in time. When the defect detection method is presented to a user, the current unrecovered abnormality is presented to the user in a striking similar 'photon card' form, and the user can conveniently check the defect which meets the defect judgment rule but is automatically recovered before the defect elimination is arranged through a history window. Influence analysis reference is provided, and if the terminal flow out-of-limit prompt possibly causes the wireless module to be off-line; the protection information is not reset, and FA logic misjudgment is possible; communication abnormal single telemetering refreshing prompting link possibly has false connection; no PT or abnormal acquisition is prompted when the voltage is lost in the live state; upstream and downstream inconsistencies suggest that the CT is less accurate or that the telemetry coefficients may be incorrectly configured, etc.
No new exception records are generated for defects that have been registered but not archived, either in real-time exceptions or historical windows. And an observation period can be set for automatic verification of the defects, and automatic verification prompt is performed after the observation period condition is met.
When the system automatically judges the defect emergency degree, the system combines with user grade information, takes terminal off-line as an example, the duration of a common terminal is 2 days, if the terminal is an important user, the duration is shortened to 2 hours, and if the terminal is an important user, the duration is lengthened to 5 days. And the user can find the abnormal information of the important line or the important user in time through page setting operation.
The clustering analysis of the defects provides auxiliary means of same line, same station room, same region, same type, same manufacturer and the like, and assists the absent personnel to master the detailed information of the defects as soon as possible. Because the abnormal content is usually longer for describing the defect information of the power distribution network, especially when defects such as inconsistency between upstream and downstream, failure of remote control and the like exist, and the defect elimination of the power distribution network is difficult to ensure that all defects of the same equipment can be eliminated simultaneously, the browsing of the associated defects by adopting a split window mode is clearer, more intuitive and more convenient. The defect eliminating efficiency is accelerated, the workload result of the defect eliminating personnel can be reflected in time, and the enthusiasm of the defect eliminating personnel is improved.
Whether the PMS2.0 defect flow or the internal flow of the distribution automation system is adopted, the defect level can be realized by only selecting one responsible person to finish the registration of the defect, and the defect closed-loop management flow is entered. Without requiring full or more information to be entered manually. The method can also be used for batch registration instead of manually recording a plurality of related problems in one defect, thereby accelerating the registration efficiency of the defect and simultaneously guiding the defect-eliminating person to quickly solve the similar problems according to the characteristics.
Necessary links are reserved on the basis of a PMS2.0 defect flow, a management flow is simplified, and the defect cooperative flow is only as follows: initiated, in progress, to be checked out, archived. The defect collaborative flow can be circulated based on the flow engine, and simultaneously supports operations such as forwarding, rollback and the like. Meanwhile, the method is associated with the user right and the jurisdiction subarea, so that the user can only check the defect list and transfer the defect list to a defect processor with jurisdiction defects. And generally, the defect person with the artificial defect is accepted, so that the artificial initiator is forwarded by default when applying for acceptance, and the operation can be simplified to be completed by one key.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (8)
1. A power distribution automation defect management system, comprising:
the defect input module is used for inputting the defect information of the system into the management system according to the detection information sent back by the detection module or the field inspection;
the defect management module is used for managing the recorded defect information, analyzing the stability, association analysis and influence of the defect, and simultaneously generating a corresponding task list, setting a processing priority and modifying the defect information;
and the defect repairing module is used for executing repairing operation on the defects according to the defect information in the task list and the solution.
2. The power distribution automation defect management system of claim 1 wherein the defect entry module further comprises:
and the automatic inspection unit is used for issuing inspection tasks to field inspection personnel according to the specified inspection rules.
3. The power distribution automation defect management system of claim 1 wherein the defect management module further comprises:
the cluster association unit is used for performing cluster association on all the defects according to the defect characteristics in the defect information to obtain defect association information;
the input analysis unit is used for clustering the defects according to a specified rule, performing correlation analysis according to a clustering result and writing an analysis result into the task list;
and the allocation unit is used for issuing the task list to the designated maintenance personnel and executing forwarding and returning operations on the task list.
4. The power distribution automation defect management system of claim 1 wherein the defect management module further comprises:
the defect interaction unit is used for selecting defect information interacted with a user according to a specified interaction rule;
the defect classification unit is used for carrying out classification management on the defect information according to a specified classification rule;
and the historical defect information storage unit is used for storing the generated but recovered defect information according to classification and time sequence and opening inquiry authority.
5. The power distribution automation defect management system of claim 4 wherein the interaction rules comprise:
setting the defect which is not recovered within a certain time as interactive defect information;
and setting the defect which is not recovered within a certain time as non-interactable defect information.
6. The power distribution automation defect management system of claim 1 wherein the defect management module further comprises:
the defect information updating unit is used for traversing all the defect information according to a certain period and changing the defect information according to a defect judgment rule;
wherein the judgment rule comprises:
recording the defects generated by the same defect source in the defect information into the defect information of the corresponding defect source;
and recording the defects generated by the same defect source in the defect information into the defect information of the corresponding defect source within the specified time after the current defects are recovered.
7. The power distribution automation defect management system of claim 1 wherein the defect management module further comprises:
the defect classification unit is used for classifying the priority of the defects according to the defect source and the defect type and creating a task list according to the priority degree;
and the defect case-canceling unit is used for canceling the defects which do not occur again within a certain time after the defects are recovered.
8. A power distribution automation defect management method, comprising the steps of:
s10, the defect entry module enters the defect information of the system into the management system according to the detection information sent back by the detection module or the field inspection;
s20, the defect management module manages the recorded defect information, including generating a corresponding task list, setting a processing priority and modifying the defect information;
and S30, the defect repair module executes repair operation on the defect according to the defect information in the task list and the solution.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911105071.7A CN110956282A (en) | 2019-11-08 | 2019-11-08 | Power distribution automation defect management system and method |
| PCT/CN2020/115166 WO2021088517A1 (en) | 2019-11-08 | 2020-09-14 | Distribution automation defect management system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911105071.7A CN110956282A (en) | 2019-11-08 | 2019-11-08 | Power distribution automation defect management system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110956282A true CN110956282A (en) | 2020-04-03 |
Family
ID=69977204
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911105071.7A Pending CN110956282A (en) | 2019-11-08 | 2019-11-08 | Power distribution automation defect management system and method |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN110956282A (en) |
| WO (1) | WO2021088517A1 (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111564906A (en) * | 2020-06-16 | 2020-08-21 | 国网湖北省电力有限公司黄石供电公司 | Method for efficiently processing automation defects of urban network distribution network |
| WO2021088517A1 (en) * | 2019-11-08 | 2021-05-14 | 珠海许继芝电网自动化有限公司 | Distribution automation defect management system and method |
| CN113010624A (en) * | 2021-03-19 | 2021-06-22 | 国网山东省电力公司郯城县供电公司 | Intelligent power distribution inspection system |
| CN113627802A (en) * | 2021-08-13 | 2021-11-09 | 西安热工研究院有限公司 | Method for calculating number of wind field fault defect-eliminating shutdown stations on line based on defect list |
| CN116631087A (en) * | 2023-07-20 | 2023-08-22 | 厦门闽投科技服务有限公司 | Unmanned aerial vehicle-based electric power inspection system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108229841A (en) * | 2018-01-23 | 2018-06-29 | 国网江西省电力有限公司电力科学研究院 | A kind of data exception processing method and processing device |
| CN108985470A (en) * | 2018-07-16 | 2018-12-11 | 国网福建省电力有限公司 | A kind of defect process initiating method based on terminal control application |
| CN109447290A (en) * | 2018-11-21 | 2019-03-08 | 国网浙江电动汽车服务有限公司 | A kind of charging station intelligent fault O&M method |
| CN109840711A (en) * | 2019-02-14 | 2019-06-04 | 国网山东省电力公司菏泽供电公司 | A kind of attached ancillary equipment defect analysis of substation and closed loop management system |
| CN110020777A (en) * | 2019-02-21 | 2019-07-16 | 国网山东省电力公司临沂供电公司 | A kind of power customer business worksheet system and method |
| CN110410279A (en) * | 2018-04-27 | 2019-11-05 | 中车株洲电力机车研究所有限公司 | A kind of Wind turbines trouble hunting method and system based on structural knowledge library |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104135740B (en) * | 2014-07-28 | 2017-10-10 | 国家电网公司 | The method of power distribution automation lradio communication failure positioning |
| CN108257114A (en) * | 2017-12-29 | 2018-07-06 | 天津市万贸科技有限公司 | A kind of transmission facility defect inspection method based on deep learning |
| CN110232399A (en) * | 2019-04-24 | 2019-09-13 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | The transmission facility defect analysis method and system clustered based on Set Pair Analysis and K-means |
| CN110956282A (en) * | 2019-11-08 | 2020-04-03 | 珠海许继芝电网自动化有限公司 | Power distribution automation defect management system and method |
-
2019
- 2019-11-08 CN CN201911105071.7A patent/CN110956282A/en active Pending
-
2020
- 2020-09-14 WO PCT/CN2020/115166 patent/WO2021088517A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108229841A (en) * | 2018-01-23 | 2018-06-29 | 国网江西省电力有限公司电力科学研究院 | A kind of data exception processing method and processing device |
| CN110410279A (en) * | 2018-04-27 | 2019-11-05 | 中车株洲电力机车研究所有限公司 | A kind of Wind turbines trouble hunting method and system based on structural knowledge library |
| CN108985470A (en) * | 2018-07-16 | 2018-12-11 | 国网福建省电力有限公司 | A kind of defect process initiating method based on terminal control application |
| CN109447290A (en) * | 2018-11-21 | 2019-03-08 | 国网浙江电动汽车服务有限公司 | A kind of charging station intelligent fault O&M method |
| CN109840711A (en) * | 2019-02-14 | 2019-06-04 | 国网山东省电力公司菏泽供电公司 | A kind of attached ancillary equipment defect analysis of substation and closed loop management system |
| CN110020777A (en) * | 2019-02-21 | 2019-07-16 | 国网山东省电力公司临沂供电公司 | A kind of power customer business worksheet system and method |
Non-Patent Citations (1)
| Title |
|---|
| 黄荣辉 等: "基于数据挖掘的电力设备缺陷分析研究", 《电气安全》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021088517A1 (en) * | 2019-11-08 | 2021-05-14 | 珠海许继芝电网自动化有限公司 | Distribution automation defect management system and method |
| CN111564906A (en) * | 2020-06-16 | 2020-08-21 | 国网湖北省电力有限公司黄石供电公司 | Method for efficiently processing automation defects of urban network distribution network |
| CN113010624A (en) * | 2021-03-19 | 2021-06-22 | 国网山东省电力公司郯城县供电公司 | Intelligent power distribution inspection system |
| CN113010624B (en) * | 2021-03-19 | 2022-04-22 | 国网山东省电力公司郯城县供电公司 | Intelligent power distribution inspection system |
| CN113627802A (en) * | 2021-08-13 | 2021-11-09 | 西安热工研究院有限公司 | Method for calculating number of wind field fault defect-eliminating shutdown stations on line based on defect list |
| CN116631087A (en) * | 2023-07-20 | 2023-08-22 | 厦门闽投科技服务有限公司 | Unmanned aerial vehicle-based electric power inspection system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021088517A1 (en) | 2021-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110956282A (en) | Power distribution automation defect management system and method | |
| CN106157167B (en) | Secondary equipment remote control operation ticket system and implementation method of secondary equipment remote control operation ticket | |
| US20170185971A1 (en) | Maintenance method for facility | |
| CN110088744B (en) | Database maintenance method and system | |
| CN105427041A (en) | Standardized maintenance method for reconstruction and extension information point table of running substation | |
| CN110674189A (en) | Method for monitoring secondary state and positioning fault of intelligent substation | |
| CN107169617A (en) | A kind of controller switching equipment state evaluation system | |
| CN104483842A (en) | Regulation and control integrated automatic master station comparison method | |
| CN113595761A (en) | Micro-service component optimization method of power system information and communication integrated scheduling platform | |
| CN112422330B (en) | Method for managing enterprise network IPv6 intergrating migration full life cycle | |
| US20170185968A1 (en) | Systems and methods for component failure-mode surveillance | |
| CN112016743A (en) | Power grid equipment maintenance prediction method and device, computer equipment and storage medium | |
| CN110502257B (en) | Transformer substation monitoring information management, control and checking method | |
| CN109686070B (en) | Terminal automatic debugging method of electricity consumption information acquisition system, medium and equipment thereof | |
| CN110837530A (en) | Fault information processing method and device based on rail transit integrated equipment monitoring | |
| CN112614017B (en) | Power failure information management system, power failure information management method, and storage medium | |
| CN104091225A (en) | Object-oriented electric power system scheduling operation ticket system | |
| KR20220083252A (en) | A apparatus for verificating advanced distribution automation system | |
| CN108197147B (en) | Operation and maintenance method and device for number card database | |
| CN112101422A (en) | Typical case self-learning method for power system fault case | |
| CN113672647B (en) | Planned power outage specification verification method and device | |
| CN111767299A (en) | Database operation method, device and system, storage medium and electronic equipment | |
| CN110222978A (en) | The method and device of data analysis and early warning in a kind of intelligent dispatching system | |
| CN115909533B (en) | System safety inspection method and related device | |
| CN117236924B (en) | Intelligent IT infrastructure operation and maintenance method and system based on digital twinning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200403 |
|
| RJ01 | Rejection of invention patent application after publication |