CN110990655A - Method for filtering power grid alarm data of power system - Google Patents
Method for filtering power grid alarm data of power system Download PDFInfo
- Publication number
- CN110990655A CN110990655A CN201911342732.8A CN201911342732A CN110990655A CN 110990655 A CN110990655 A CN 110990655A CN 201911342732 A CN201911342732 A CN 201911342732A CN 110990655 A CN110990655 A CN 110990655A
- Authority
- CN
- China
- Prior art keywords
- condition
- filtering
- alarm
- expression
- result
- 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
- 238000001914 filtration Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000004364 calculation method Methods 0.000 claims description 33
- 238000005457 optimization Methods 0.000 claims description 9
- 238000013499 data model Methods 0.000 abstract description 2
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9035—Filtering based on additional data, e.g. user or group profiles
-
- 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
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- General Engineering & Computer Science (AREA)
- Public Health (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to a method for filtering power grid alarm data of a power system, which comprises the following steps: step 1), an alarm keyword model, an alarm filtering information model and a condition item model are created; step 2), setting alarm filtering information and condition item information; step 3), generating an expression according to the condition item set in the alarm filtering information; step 4), checking an expression; and 5) selecting a filtering scheme. The invention can flexibly define the filtering model according to the alarm data model structure, obviously reduce the operation times in the aspect of operation, save the system resources and obviously improve the filtering efficiency.
Description
Technical Field
The invention relates to the field of control automation and intellectualization of an electric power system, in particular to a method for filtering electric power system power grid alarm data.
Background
The traditional grid fault signal processing mode is as follows: the mode has the problems of high monitoring intensity of a controller, redundant recording, complex telephone, low accident processing efficiency, much time consumption and the like, and is not in line with lean management of enterprises.
At present, most power supply bureaus have preliminarily realized regulation and control integration, and establish regulation and control class, and are responsible for services such as scheduling, monitoring, remote control to the electric wire netting, and the dispatch automation system is transmitting electric wire netting operating information in real time, and regulation and control personnel can comprehensively master electric wire netting real-time information, but the electric wire netting operating information volume of uploading to the dispatch automation master station is big, and concurrent protection signal is easily brushed, and causes that regulation and control personnel supervision pressure is big, and all abnormal records all need artifical input and telephone notification simultaneously, and an abnormal signal takes 10 minutes from collection-affirmation-notice-record, still can have the risk that the signal is neglected, brings the hidden danger for electric wire netting safe operation. And a considerable part of the massive alarm information is caused by that the defects of the equipment are not processed in time, so that the judgment and the processing of the operator on duty are seriously interfered and regulated, especially when the fault occurs, a large amount of information is uploaded in a short time, and the operator on duty easily omits important alarm signals. A certain power supply station carries out centralized monitoring on the transformer substation, and the alarm information is checked through an optical character board graph and a time sequence alarm window based on a graphic browser and is analyzed, so that the fact that only about four percent of the alarm information can reflect the abnormal condition of field equipment of the transformer substation truly is finally found, and the rest ninety-six percent of the alarm information is not required to be processed by a monitor.
Disclosure of Invention
Technical problem to be solved
In order to solve the problems in the prior art, the invention provides a method for filtering power grid alarm data of a power system.
(II) technical scheme
In order to achieve the purpose, the invention adopts the main technical scheme that:
a method for filtering power system grid alarm data is designed, and comprises the following steps:
step 1), creating a model. The model comprises an alarm keyword model, an alarm filtering information model and a condition item model. Preferably, the parameters of the alarm keyword model include, but are not limited to, a keyword name, a domain name of an alarm structure corresponding to the keyword, and related reference display information, the parameters of the alarm filtering information model include, but are not limited to, a model name, a condition item set, and the parameters of the condition item model include, but are not limited to, a keyword name, a condition value, a condition relationship, a join operator and/or with a next condition item, a left parenthesis number, a right parenthesis number, and a condition item number (index).
And step 2), setting alarm filtering information and condition item information.
And 3) generating an expression according to the condition item set in the alarm filtering information. Traversing the condition item set, and sequentially splicing information [ left brackets + condition item sequence numbers + right brackets + operators ] in the condition items from small to large according to the sequence of the condition item sequence numbers (ignoring the operator of the last condition item), for example: ((1|2) &3) |4) & 5.
And 4), checking the expression. Before the filtering starts, the expression is checked, character strings which only contain a pair of paired brackets at the innermost side are removed for multiple times by using the broad assertion, whether the character strings contain the remaining brackets is checked until the matching is finished, if yes, the check is not passed, and if not, the check is passed.
And 5) selecting a filtering scheme. Setting the threshold value of the number of the condition items of the filtering model as log according to the number N of the alarm data2N, if the quantity of the condition items of the filtering model is less than or equal to the threshold value, adopting an optimization scheme, and if the quantity of the condition items of the filtering model is more than or equal to the threshold valueThe threshold value adopts a general scheme.
For the optimization scheme, a result index of the expression is generated according to the generated expression, a condition item with calculation priority is generated according to the index, then the condition item with calculation priority is calculated firstly, if the calculation is passed, other condition items are calculated, and finally a filtering result is obtained according to the result index. Specifically, the optimization scheme comprises the following steps:
step 5.1.1), establishing an index. An index set (map) is first created. key is a condition of an expression, which is represented by a string of binary digits, where 0 is false, 1 is true, and the n-1 th bit of a binary digit represents the result of a condition term with a sequence number n. Finally, the binary digits are converted into decimal keys serving as indexes. value is the calculation result of the expression under the condition, and is stored as characters "t" (true) and "f" (false), respectively.
Then, the number n of the condition items is calculated by 0 to 2n1 expression result of the condition and store in index set. For example, the expression is (((1|2)&3)|4)&When key is 0, the condition is { false, false, false, false, false }, false is replaced with 0 and the expression is substituted according to the condition item sequence number (((0|0)&0)|0)&0-0 (false), and finally storing the condition into the index<0,“f”>。
And 5.1.2) acquiring a condition item set calculated preferentially. And traversing the result in the index to obtain a condition item sequence number set with a constant true condition when the value is t (true). That is, when the set of condition terms is not all true, the expression result must be false.
Step 5.1.3), first filtering calculation. Firstly, the alarm data priority calculation items are calculated, and when the results are all true, the alarm records are reserved for further filtering.
Step 5.1.4), second filtering calculation. And (4) calculating other condition items of the alarm reserved in the step 5.1.3), converting the condition into a decimal digital object after the calculation is finished, and inquiring the index generated in the step 5.1.1) to obtain a result.
For a general scheme, all condition items are directly calculated, indexes are inquired by condition item results, and if the same condition appears, the calculation of an expression is omitted, and the result is directly obtained; and if the same condition is not found, substituting the condition item result into the expression for calculation, and inserting the condition item result into the index after the calculation is finished.
(III) advantageous effects
The invention can flexibly define the filtering model according to the alarm data model structure, obviously reduce the operation times in the aspect of operation, save the system resources and obviously improve the filtering efficiency.
Drawings
FIG. 1 is a flow chart of checking condition items according to an embodiment of the present invention;
fig. 2 is a flowchart of alarm filtering according to an embodiment of the present invention.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
The invention provides a method for filtering power grid alarm data of a power system, which comprises the following steps:
step 1), creating a model. The model comprises an alarm keyword model, an alarm filtering information model and a condition item model. Preferably, the parameters of the alarm keyword model include, but are not limited to, a keyword name, a domain name of an alarm structure corresponding to the keyword, and related reference display information, the parameters of the alarm filtering information model include, but are not limited to, a model name, a condition item set, and the parameters of the condition item model include, but are not limited to, a keyword name, a condition value, a condition relationship, a join operator and/or with a next condition item, a left parenthesis number, a right parenthesis number, and a condition item number (index).
And step 2), setting alarm filtering information and condition item information.
And 3) generating an expression according to the condition item set in the alarm filtering information. Traversing the condition item set, and sequentially splicing information [ left brackets + condition item sequence numbers + right brackets + operators ] in the condition items from small to large according to the sequence of the condition item sequence numbers (ignoring the operator of the last condition item), for example: ((1|2) &3) |4) & 5.
And 4), checking the expression. Before the filtering starts, the expression needs to be checked, as shown in fig. 1, character strings which only contain a pair of paired brackets at the innermost side are removed by using wide assertions for multiple times, whether the character strings contain the remaining brackets is checked until the matching is finished, if yes, the check is not passed, and if not, the check is passed.
And 5) selecting a filtering scheme. As shown in FIG. 2, the threshold value of the number of condition items of the filtering model is set to be log according to the number N of the alarm data2And N, if the quantity of the condition items of the filtering model is less than or equal to the threshold value, adopting an optimization scheme, and if the quantity of the condition items of the filtering model is greater than the threshold value, adopting a general scheme.
For the optimization scheme, a result index of the expression is generated according to the generated expression, a condition item with calculation priority is generated according to the index, then the condition item with calculation priority is calculated firstly, if the calculation is passed, other condition items are calculated, and finally a filtering result is obtained according to the result index. Specifically, the optimization scheme comprises the following steps:
step 5.1.1), establishing an index. An index set (map) is first created. key is a condition of an expression, which is represented by a string of binary digits, where 0 is false, 1 is true, and the n-1 th bit of a binary digit represents the result of a condition term with a sequence number n. Finally, the binary digits are converted into decimal keys serving as indexes. value is the calculation result of the expression under the condition, and is stored as characters "t" (true) and "f" (false), respectively.
Then, the number n of the condition items is calculated by 0 to 2n1 expression result of the condition and store in index set. For example, the expression is (((1|2)&3)|4)&When key is 0, the condition is { false, false, false, false, false }, false is replaced with 0 and the expression is substituted according to the condition item sequence number (((0|0)&0)|0)&0-0 (false), and finally storing the condition into the index<0,“f”>。
And 5.1.2) acquiring a condition item set calculated preferentially. And traversing the result in the index to obtain a condition item sequence number set with a constant true condition when the value is t (true). That is, when the set of condition terms is not all true, the expression result must be false.
Step 5.1.3), first filtering calculation. Firstly, the alarm data priority calculation items are calculated, and when the results are all true, the alarm records are reserved for further filtering.
Step 5.1.4), second filtering calculation. And (4) calculating other condition items of the alarm reserved in the step 5.1.3), converting the condition into a decimal digital object after the calculation is finished, and inquiring the index generated in the step 5.1.1) to obtain a result.
For a general scheme, all condition items are directly calculated, indexes are inquired by condition item results, and if the same condition appears, the calculation of an expression is omitted, and the result is directly obtained; and if the same condition is not found, substituting the condition item result into the expression for calculation, and inserting the condition item result into the index after the calculation is finished.
While the present invention has been described with reference to the particular embodiments illustrated in the drawings, which are meant to be illustrative only and not limiting, it will be apparent to those of ordinary skill in the art in light of the teachings of the present invention that numerous modifications can be made without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A method for filtering power system grid alarm data comprises the following steps:
step 1), an alarm keyword model, an alarm filtering information model and a condition item model are created;
step 2), setting alarm filtering information and condition item information;
step 3), generating an expression according to the condition item set in the alarm filtering information;
step 4), checking an expression;
and 5) selecting a filtering scheme.
2. The method for filtering power system grid alarm data according to claim 1, wherein in the step 1), the parameters of the alarm keyword model include, but are not limited to, a keyword name, a domain name of an alarm structure corresponding to the keyword, and related reference display information, the parameters of the alarm filtering information model include, but are not limited to, a model name, and a condition item set, and the parameters of the condition item model include, but are not limited to, a keyword name, a condition value, a condition relationship, a connection operator and/or with a next condition item, a left bracket number, a right bracket number, and a condition item serial number.
3. The method for filtering power system grid alarm data according to claim 1, wherein in the step 3), the condition item set is traversed, and the information in the condition items is spliced sequentially from small to large according to the sequence of the condition item sequence numbers to generate the expression.
4. The method for filtering power system grid alarm data according to claim 1, wherein in the step 4), character strings containing only one pair of paired brackets at the innermost side are removed multiple times by using a wide assertion until the matching is finished, whether the rest brackets are contained is checked, if yes, the check is not passed, and if not, the check is passed.
5. The method for filtering alarm data of power system and power grid of claim 1, wherein in the step 4), the threshold value of the number of condition items of the filtering model is set to be log according to the number N of alarm data2And N, if the quantity of the condition items of the filtering model is less than or equal to the threshold value, adopting an optimization scheme, and if the quantity of the condition items of the filtering model is greater than the threshold value, adopting a general scheme.
6. The method for filtering power system grid alarm data according to claim 1, wherein in the step 5), for the optimization scheme, a result index of the expression is generated according to the generated expression, a condition item with priority for calculation is generated according to the index, then the condition item with priority for calculation is calculated first, and if the calculation is passed, other condition items are calculated, and finally a filtering result is obtained according to the result index.
7. The method for filtering the power system grid alarm data according to claim 6, wherein in the step 5), the optimization scheme comprises the following steps:
step 5.1.1), establishing an index:
firstly, creating an index set (map), wherein key is a condition of an expression, the condition is represented by a string of binary digits, wherein 0 is false, 1 is true, and the n-1 bit of the binary digits represents the result of a condition item with the sequence number n; converting binary digits into keys with decimal system as indexes, wherein value is a calculation result of the expression under the condition and is respectively stored by characters of't' (true) and 'f' (false); then, the number of the condition items n is calculated to be 0 to 2n-1 expression results of the condition and stored in an index set;
step 5.1.2), acquiring a condition item set of preferential calculation:
traversing the result in the index, acquiring a condition item sequence number set with a constant true condition when the value is't' (true), and indicating that the expression result is definitely false when the condition item set is not completely true;
step 5.1.3), first filtering calculation:
firstly, calculating the priority calculation items of the alarm data, reserving the alarm record when the results are all true, and waiting for further filtering;
step 5.1.4), calculating by the second filtration:
and (4) calculating other condition items of the alarm reserved in the step 5.1.3), converting the condition into a decimal digital object after the calculation is finished, and inquiring the index generated in the step 5.1.1) to obtain a result.
8. The method for filtering power system grid alarm data according to claim 1, wherein in the step 5), for a general scheme, all condition terms are directly calculated, an index is queried by using a condition term result, and if the same condition occurs, the calculation of an expression is omitted to directly obtain a result; and if the same condition is not found, substituting the condition item result into the expression for calculation, and inserting the condition item result into the index after the calculation is finished.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911342732.8A CN110990655A (en) | 2019-12-23 | 2019-12-23 | Method for filtering power grid alarm data of power system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911342732.8A CN110990655A (en) | 2019-12-23 | 2019-12-23 | Method for filtering power grid alarm data of power system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110990655A true CN110990655A (en) | 2020-04-10 |
Family
ID=70076155
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911342732.8A Pending CN110990655A (en) | 2019-12-23 | 2019-12-23 | Method for filtering power grid alarm data of power system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110990655A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114637896A (en) * | 2022-05-23 | 2022-06-17 | 杭州闪马智擎科技有限公司 | Data auditing method and device, storage medium and electronic device |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060274703A1 (en) * | 2005-06-07 | 2006-12-07 | Connelly Stephen P | Method and apparatus of filtering and viewing real-time detail records based upon user specific criteria |
| CN101741615A (en) * | 2009-12-14 | 2010-06-16 | 北京神州泰岳软件股份有限公司 | Server-based alarm filtering system and method |
| CN102238023A (en) * | 2010-04-23 | 2011-11-09 | 中兴通讯股份有限公司 | Method and device for generating warning data of network management system |
| CN103425795A (en) * | 2013-08-31 | 2013-12-04 | 四川川大智胜软件股份有限公司 | Radar data analyzing method based on cloud calculation |
| CN104218676A (en) * | 2014-09-02 | 2014-12-17 | 广东电网公司茂名供电局 | Intelligent warning system and method for power dispatching automation master station |
| CN104331278A (en) * | 2014-10-15 | 2015-02-04 | 南京航空航天大学 | Instruction filtering method and device for specifications of ARINC661 |
| CN104463709A (en) * | 2014-12-12 | 2015-03-25 | 国家电网公司 | Substation alarm information processing method based on decision trees |
| CN104836692A (en) * | 2015-05-27 | 2015-08-12 | 上海斐讯数据通信技术有限公司 | Network equipment alarm automatic filtering system and filtering method thereof |
| CN106649032A (en) * | 2016-10-21 | 2017-05-10 | 郑州云海信息技术有限公司 | Monitoring data processing scheme of privatized cloud platform |
| CN107492952A (en) * | 2017-06-13 | 2017-12-19 | 云南电网有限责任公司红河供电局 | A kind of regulation and control center alarm signal analysis method and the intelligent warning system based on it |
| CN108073611A (en) * | 2016-11-14 | 2018-05-25 | 国网江苏省电力公司镇江供电公司 | The filter method and device of a kind of warning information |
| CN109993443A (en) * | 2019-04-04 | 2019-07-09 | 北京科东电力控制系统有限责任公司 | A kind of grid equipment operating status space-time Situation Awareness model method for digging |
| CN110347663A (en) * | 2019-06-05 | 2019-10-18 | 烽火通信科技股份有限公司 | Dynamic environment monitoring method and system based on Complex event processing engine |
-
2019
- 2019-12-23 CN CN201911342732.8A patent/CN110990655A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060274703A1 (en) * | 2005-06-07 | 2006-12-07 | Connelly Stephen P | Method and apparatus of filtering and viewing real-time detail records based upon user specific criteria |
| CN101741615A (en) * | 2009-12-14 | 2010-06-16 | 北京神州泰岳软件股份有限公司 | Server-based alarm filtering system and method |
| CN102238023A (en) * | 2010-04-23 | 2011-11-09 | 中兴通讯股份有限公司 | Method and device for generating warning data of network management system |
| CN103425795A (en) * | 2013-08-31 | 2013-12-04 | 四川川大智胜软件股份有限公司 | Radar data analyzing method based on cloud calculation |
| CN104218676A (en) * | 2014-09-02 | 2014-12-17 | 广东电网公司茂名供电局 | Intelligent warning system and method for power dispatching automation master station |
| CN104331278A (en) * | 2014-10-15 | 2015-02-04 | 南京航空航天大学 | Instruction filtering method and device for specifications of ARINC661 |
| CN104463709A (en) * | 2014-12-12 | 2015-03-25 | 国家电网公司 | Substation alarm information processing method based on decision trees |
| CN104836692A (en) * | 2015-05-27 | 2015-08-12 | 上海斐讯数据通信技术有限公司 | Network equipment alarm automatic filtering system and filtering method thereof |
| CN106649032A (en) * | 2016-10-21 | 2017-05-10 | 郑州云海信息技术有限公司 | Monitoring data processing scheme of privatized cloud platform |
| CN108073611A (en) * | 2016-11-14 | 2018-05-25 | 国网江苏省电力公司镇江供电公司 | The filter method and device of a kind of warning information |
| CN107492952A (en) * | 2017-06-13 | 2017-12-19 | 云南电网有限责任公司红河供电局 | A kind of regulation and control center alarm signal analysis method and the intelligent warning system based on it |
| CN109993443A (en) * | 2019-04-04 | 2019-07-09 | 北京科东电力控制系统有限责任公司 | A kind of grid equipment operating status space-time Situation Awareness model method for digging |
| CN110347663A (en) * | 2019-06-05 | 2019-10-18 | 烽火通信科技股份有限公司 | Dynamic environment monitoring method and system based on Complex event processing engine |
Non-Patent Citations (3)
| Title |
|---|
| YING XIONG: ""Performance sensitivity analysis of linear alarm filters"" * |
| 宋劲松: ""病毒及分类网址库过滤自服务系统设计及实现"" * |
| 陆斌: ""基于人工智能的网络告警关联分析处理的应用"" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114637896A (en) * | 2022-05-23 | 2022-06-17 | 杭州闪马智擎科技有限公司 | Data auditing method and device, storage medium and electronic device |
| CN114637896B (en) * | 2022-05-23 | 2022-09-09 | 杭州闪马智擎科技有限公司 | Data auditing method and device, storage medium and electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106557991B (en) | Voltage monitoring data platform | |
| CN110674189B (en) | Method for monitoring secondary state and positioning fault of intelligent substation | |
| CN102043719B (en) | Method for testing IEC61850 configuration description file | |
| CN104793076A (en) | Intelligent automatic test system and method | |
| CN105049247A (en) | Network safety log template extraction method and device | |
| CN108268706B (en) | Closed loop test system and method for intelligent alarm application of integrated monitoring system | |
| CN101945009A (en) | Positioning method and device of power communication network fault based on case and pattern matching | |
| CN104021195A (en) | Warning association analysis method based on knowledge base | |
| CN109495290B (en) | Operation and maintenance system main station and sub station interaction method and system | |
| CN109449928A (en) | A kind of transforming plant primary equipment breakdown judge and processing decision system and its method | |
| CN110990655A (en) | Method for filtering power grid alarm data of power system | |
| CN113238890B (en) | Current sampling loop abnormity diagnosis method and device based on dynamic record data | |
| CN111652500B (en) | Automatic on-duty auxiliary system based on scheduling | |
| CN109617746B (en) | SCD network configuration verification method based on SPCD file | |
| CN116383061A (en) | Method and related device for testing basic platform interface of substation control system | |
| CN110852904A (en) | Signal checking system and method based on RCD and SCD checking | |
| CN115684830A (en) | Fault location method and system based on COMTRADE | |
| CN116299129A (en) | All-fiber current transformer state detection and analysis method, device and medium | |
| CN110298585B (en) | Hierarchical automatic auditing method for monitoring information of substation equipment | |
| CN115267616A (en) | Transformer running state monitoring system and method based on enterprise data middling station | |
| CN114418237A (en) | Distribution network power supply safety capability evaluation standard quantification method, system, equipment and medium | |
| CN112446619A (en) | Power distribution network emergency repair processing method and device | |
| CN111082520B (en) | Method, equipment and storage medium for operation control of optical distribution network | |
| CN116996362A (en) | Fault analysis method and device for power communication system | |
| CN117873978A (en) | Method and device for identifying configuration abnormality based on paired BRAS |
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 | ||
| AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20240315 |
|
| AD01 | Patent right deemed abandoned |