CN110334078B - Power system alarm fault model definition method, computer equipment and storage medium - Google Patents
Power system alarm fault model definition method, computer equipment and storage medium Download PDFInfo
- Publication number
- CN110334078B CN110334078B CN201910525514.1A CN201910525514A CN110334078B CN 110334078 B CN110334078 B CN 110334078B CN 201910525514 A CN201910525514 A CN 201910525514A CN 110334078 B CN110334078 B CN 110334078B
- Authority
- CN
- China
- Prior art keywords
- type
- condition
- entity
- alarm
- event
- 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.)
- Active
Links
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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
- G06F16/212—Schema design and management with details for data modelling support
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/288—Entity relationship models
-
- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention relates to a power system alarm fault model definition method, a computer device and a storage medium, which are combined with various power grid event characteristics to design a robust power grid event model structure, and the model realizes the definition of power grid events by maintaining the incidence relation among complex models. According to the method and the device, common event information of the power system is defined through the data model, and the method for realizing the definition of the common events of the power system by configuring the data model through the human-computer interaction interface is provided.
Description
Technical Field
The invention relates to the technical field of power grid alarm measurement, in particular to a power system alarm fault model definition method, computer equipment and a storage medium.
Background
Generally speaking, the methods for alarm accident diagnosis analysis can be generally divided into two types: causal mechanism analysis and data driven analysis. The causal mechanism analysis emphasizes the causal relationship before and after the occurrence of the event, finds the relationship before and after according to the accident development change rule, and deduces whether the conditions of alarm missing, monitoring missing, mistaken sending, incomplete monitoring information and the like exist from the reasons based on the existing accident experience model.
The data-driven analysis emphasizes the characteristics presented by the searched data, the data characteristics are mainly obtained by clustering or classifying and the like, and the data characteristics can be calculated by neural networks, probability statistics, trend prediction and other methods. The specific method comprises forward analysis, reverse analysis, frequency analysis, scanning analysis, streaming analysis, rechecking analysis, association analysis and the like, but the data-driven analysis often has the problem of no model or no prior knowledge.
Disclosure of Invention
In view of the above-mentioned defects of the prior art, the present invention provides a method for defining an alarm fault model of an electrical power system, a computer device and a storage medium.
The technical scheme adopted by the invention for solving the technical problems is as follows: a power system alarm fault model definition method is constructed, and comprises the following steps:
defining an alarm event entity, and extracting all condition entities belonging to the corresponding alarm event entity from a power failure alarm system database;
the newly defined alarm event entity and all the corresponding condition entities are stored in a power failure alarm system database, and a new table entry is generated;
defining a set entity, setting relevant attributes of the set, checking conditions under which the set belongs, and setting judgment condition types;
and storing the set entity, and respectively constructing the connection between the set and the event entity and the condition entity in the database table entry.
Each alarm event entity corresponds to a type of power system event and is described by the attributes of a fault type, a fault equipment type, an abnormal type, a defect grade and a condition display sequence.
Wherein, the fault type attribute at least comprises accident, abnormity, out-of-limit, displacement and notification; the fault equipment types at least comprise lines, buses, transformers, switches and high impedance; the abnormal type at least comprises a centralized monitoring process and an automatic process; the defect grades include at least general, severe and crisis; the condition display order includes at least a logical order and a time order.
The set entity is divided into a judging set and a displaying set, whether a defined alarm event occurs is judged through the judging set, and necessary displaying information is extracted from an event occurrence time section through the displaying set to serve as a briefing of the event.
Wherein, the aggregate entity model also needs to be composed of attributes of longest seconds and minimum successful number; the information of all aspects of an event is completed by establishing the one-to-many relationship between the event entity model and the set entity model; the longest second represents the time range before and after the occurrence of the fault, and the minimum successful number represents the minimum number of conditions satisfied when the event occurs.
The set entity model is formed by combining a plurality of conditional entities, and each conditional entity model is defined by the attribute information of a section type, an equipment source type and an equipment type.
The section type represents a section range for judgment when the condition of the corresponding condition entity model occurs, and comprises monitoring alarm information, equipment remote signaling or remote measuring information; the equipment source type represents the power grid topological relation among equipment sources meeting the conditions of the corresponding condition entity model, and comprises the conditions of same equipment, same interval, same station, opposite terminal interval, common interval, opposite terminal station and same device; the equipment type represents the source type of the equipment for alarming, remote signaling and remote measuring, and comprises a bus, a circuit breaker, a disconnecting link, a line, a unit, a transformer winding, a partition, a station, an alternating current line section, a reactor, a transformer and secondary equipment.
When all CONDITION entities belonging to the corresponding alarm event entity are extracted, a fault section TYPE attribute list of the CONDITION is obtained by a CONDITION _ TYPE _ default table in a database; the attribute list of the SOURCE TYPE of the equipment is obtained by a DEV _ SOURCE _ TYPE table in a database; the "device TYPE" attribute list is obtained by the DEV _ TYPE _ default table in the database; the list of "condition attributes" in the condition configuration is obtained from the COLUMN _ TYPE _ default table in the database. When the condition configuration attribute is 'station voltage level', the 'condition attribute value' list is obtained by a basevoltage table in the database; when the conditional configuration attribute is "alarm type", a "conditional attribute value" list is obtained from the alarm _ type _ define table in the database; when the condition configuration attribute is the alarm state, the condition attribute value list is obtained from a remote signaling displacement login state menu of a menu definition table in the database; when the conditional configuration attribute is "data dictionary", a "conditional attribute value" list is obtained from the signal _ dictionary table in the database; when the conditional configuration attribute is "associated EVENT," a list of "conditional attribute values" is obtained by the EVENT _ definition table in the database.
The technical scheme adopted by the invention for solving the technical problems is as follows: a computer device is constructed, comprising an input-output unit, a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the power system alarm fault model definition method according to the above technical solution.
The technical scheme adopted by the invention for solving the technical problems is as follows: a storage medium is constructed that stores computer readable instructions, which when executed by one or more processors, cause the one or more processors to perform the steps of the power system alarm fault model definition method as set forth in the preceding claims.
Different from the prior art, the method for defining the alarm fault model of the power system is combined with the characteristics of various power grid events, a robust power grid event model structure is designed, and the model realizes the definition of the power grid events by maintaining the incidence relation among complex models. According to the method and the device, common event information of the power system is defined through the data model, and the method for realizing the definition of the common events of the power system by configuring the data model through the human-computer interaction interface is provided.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a power system alarm fault model definition method according to the present invention;
fig. 2 is a logic diagram of a power system alarm fault model definition method provided by the invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
As shown in fig. 1 and fig. 2, fig. 1 is a schematic flow diagram of a power system alarm fault model definition method provided by the present invention, and fig. 2 is a schematic logic diagram of the power system alarm fault model definition method provided by the present invention. The method comprises the following steps:
s110: and defining an alarm event entity, and extracting all condition entities belonging to the corresponding alarm event entity from a power failure alarm system database.
Each alarm event entity corresponds to a type of power system event and is described by the attributes of a fault type, a fault equipment type, an abnormal type, a defect grade and a condition display sequence. The fault type attributes at least comprise accidents, exceptions, out-of-limit, shifts and notices; the fault equipment types at least comprise lines, buses, transformers, switches and high impedance; the abnormal type at least comprises a centralized monitoring process and an automatic process; the defect grades include at least general, severe and crisis; the condition display order includes at least a logical order and a time order.
S120: and storing the newly defined alarm event entity and all the corresponding condition entities in a power failure alarm system database, and generating a new table entry.
S130: defining a set entity, setting the relevant attributes of the set, checking the conditions of the set subordinates, and setting the judgment condition type.
The set entity is divided into a judging set and a displaying set, whether a defined alarm event occurs is judged through the judging set, and necessary displaying information is extracted from an event occurrence time section through the displaying set to serve as a brief report of the event. The aggregate entity model also needs to be composed of attributes of the longest second and the minimum successful number; the information of all aspects of an event is completed by establishing the one-to-many relationship between the event entity model and the set entity model; the longest second represents the time range before and after the occurrence of the fault, and the minimum successful number represents the minimum number of conditions satisfied when the event occurs. The aggregate entity model is formed by combining a plurality of conditional entities, and each conditional entity model is defined by the attribute information of the section type, the equipment source type and the equipment type.
The section type represents a section range for judgment when the condition of the corresponding condition entity model occurs, and comprises monitoring alarm information, equipment remote signaling or remote measuring information; the equipment source type represents the power grid topological relation among equipment sources meeting the conditions of the corresponding condition entity model, and comprises the conditions of same equipment, same interval, same station, opposite terminal interval, common interval, opposite terminal station and same device; the equipment type represents the source type of the equipment for alarming, remote signaling and remote measuring, and comprises a bus, a circuit breaker, a disconnecting link, a line, a unit, a transformer winding, a partition, a station, an alternating current line section, a reactor, a transformer and secondary equipment.
S140: and storing the set entity, and respectively constructing the connection between the set and the event entity and the condition entity in the database table entry.
In actual operation, the definition process is as follows:
the user defines an alarm event entity and all condition entities subordinate to the event on the man-machine interaction interface. The fault section TYPE attribute list of the CONDITION is obtained by a CONDITION _ TYPE _ default table in a database; the attribute list of the SOURCE TYPE of the equipment is obtained by a DEV _ SOURCE _ TYPE table in a database; the "device TYPE" attribute list is obtained by the DEV _ TYPE _ default table in the database; the list of "condition attributes" in the condition configuration is obtained from the COLUMN _ TYPE _ default table in the database. When the condition configuration attribute is 'station voltage level', the 'condition attribute value' list is obtained by a basevoltage table in the database; when the conditional configuration attribute is "alarm type", a "conditional attribute value" list is obtained from the alarm _ type _ define table in the database; when the condition configuration attribute is the alarm state, the condition attribute value list is obtained from a remote signaling displacement login state menu of a menu definition table in the database; when the conditional configuration attribute is "data dictionary", a "conditional attribute value" list is obtained from the signal _ dictionary table in the database; when the conditional configuration attribute is "associated EVENT," a list of "conditional attribute values" is obtained by the EVENT _ definition table in the database.
And clicking a 'save' button on the human-computer interaction interface by a user, and then carrying out related warehousing operation in the background. The newly-built alarm EVENT related attributes are stored in an EVENT _ DEFINE table in a database, the related attributes of all subordinate conditional entities are stored in a CONDITION _ DEFINE table in the database, a new set type of a comprehensive set with the type of 4 is built in a GATHER _ DEFINE table, and the association between the comprehensive set and the newly-built EVENT entity and the subordinate conditional entities is respectively built in the EVENT _ GATHER and GATHER _ DEFINE tables. The integrated set is equivalent to the 'condition universe' of the event entity to which the integrated set belongs, and all conditions subordinate to the event are contained in real time.
A user defines a set entity on a human-computer interaction interface, firstly sets relevant attributes of the set, then selects conditions under the set, and sets a judgment condition type.
After the user saves the aggregation entity, the newly created aggregation entity is saved in a GATHER _ default table in the database, and the association between the aggregation and the EVENT entity and the CONDITION entity is respectively built in the EVENT _ GATHER and the GATHER _ CONDITION tables.
Furthermore, the present invention provides a computer device, comprising an input/output unit, a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the power system alarm fault model definition method according to the foregoing technical solution.
The present invention also provides a storage medium storing computer readable instructions, which when executed by one or more processors, cause the one or more processors to perform the steps of the power system alarm fault model definition method according to the aforementioned technical solution.
Different from the prior art, the method for defining the alarm fault model of the power system is combined with the characteristics of various power grid events, a robust power grid event model structure is designed, and the model realizes the definition of the power grid events by maintaining the incidence relation among complex models. According to the method and the device, common event information of the power system is defined through the data model, and the method for realizing the definition of the common events of the power system by configuring the data model through the human-computer interaction interface is provided.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (9)
1. A power system alarm fault model definition method is characterized by comprising the following steps:
defining an alarm event entity, and extracting all condition entities belonging to the corresponding alarm event entity from a power failure alarm system database;
the newly defined alarm event entity and all the corresponding condition entities are stored in a power failure alarm system database, and a new table entry is generated;
each alarm event entity corresponds to one type of power system event and is described by the attributes of a fault type, a fault equipment type, an abnormal type, a defect grade and a condition display sequence;
defining a set entity, setting relevant attributes of the set, checking conditions under which the set belongs, and setting judgment condition types;
and storing the set entity, and respectively constructing the connection between the set and the event entity and the condition entity in the database table entry.
2. The power system alarm fault model definition method of claim 1, wherein fault type attributes include at least accident, exception, violation, shift and notification; the fault equipment types at least comprise lines, buses, transformers, switches and high impedance; the abnormal type at least comprises a centralized monitoring process and an automatic process; the defect grades include at least general, severe and crisis; the condition display order includes at least a logical order and a time order.
3. The method according to claim 1, wherein the collection entity is divided into a set for judgment and a set for display, the set for judgment is used to determine whether the defined alarm event occurs, and the display set is used to extract necessary display information from the event occurrence time section as the presentation of the event.
4. The power system alarm fault model definition method of claim 1, wherein the aggregate entity model further needs to be composed of attributes of longest seconds, smallest number of successful pieces; the information of all aspects of an event is completed by establishing the one-to-many relationship between the event entity model and the set entity model; the longest second represents the time range before and after the occurrence of the fault, and the minimum successful number represents the minimum number of conditions satisfied when the event occurs.
5. The method according to claim 1, wherein the set entity model is formed by combining a plurality of condition entities, and each condition entity model is defined by attribute information of a section type, an equipment source type and an equipment type.
6. The electric power system alarm fault model definition method according to claim 5, characterized in that the section type represents a section range for judgment when a condition corresponding to the conditional entity model occurs, and comprises monitoring alarm information, equipment telecommand or telemetering information; the equipment source type represents the power grid topological relation among equipment sources meeting the conditions of the corresponding condition entity model, and comprises the conditions of same equipment, same interval, same station, opposite terminal interval, common interval, opposite terminal station and same device; the equipment type represents the source type of the equipment for alarming, remote signaling and remote measuring, and comprises a bus, a circuit breaker, a disconnecting link, a line, a unit, a transformer winding, a partition, a station, an alternating current line section, a reactor, a transformer and secondary equipment.
7. The power system alarm fault model definition method of claim 1, wherein in extracting all CONDITION entities under the corresponding alarm event entity, the "fault profile TYPE" attribute list of the CONDITION is obtained from the CONDITION _ TYPE _ definition table in the database; the attribute list of the SOURCE TYPE of the equipment is obtained by a DEV _ SOURCE _ TYPE table in a database; the "device TYPE" attribute list is obtained by the DEV _ TYPE _ default table in the database; the list of "condition attributes" in the condition configuration is obtained from the COLUMN _ TYPE _ default table in the database; when the condition configuration attribute is 'station voltage level', the 'condition attribute value' list is obtained by a basevoltage table in the database; when the conditional configuration attribute is "alarm type", a "conditional attribute value" list is obtained from the alarm _ type _ define table in the database; when the condition configuration attribute is the alarm state, the condition attribute value list is obtained from a remote signaling displacement login state menu of a menu definition table in the database; when the conditional configuration attribute is "data dictionary", a "conditional attribute value" list is obtained from the signal _ dictionary table in the database; when the conditional configuration attribute is "associated EVENT," a list of "conditional attribute values" is obtained by the EVENT _ definition table in the database.
8. A computer device comprising an input-output unit, a memory and a processor, the memory having stored therein computer readable instructions which, when executed by the processor, cause the processor to perform the steps in the power system alarm fault model definition method of any of claims 1 to 7.
9. A storage medium having computer readable instructions stored thereon which, when executed by one or more processors, cause the one or more processors to perform the steps in the power system alarm fault model definition method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910525514.1A CN110334078B (en) | 2019-06-18 | 2019-06-18 | Power system alarm fault model definition method, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910525514.1A CN110334078B (en) | 2019-06-18 | 2019-06-18 | Power system alarm fault model definition method, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110334078A CN110334078A (en) | 2019-10-15 |
| CN110334078B true CN110334078B (en) | 2022-02-08 |
Family
ID=68142634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910525514.1A Active CN110334078B (en) | 2019-06-18 | 2019-06-18 | Power system alarm fault model definition method, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110334078B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113190629A (en) * | 2021-04-25 | 2021-07-30 | 国能智深控制技术有限公司 | Method and device for realizing production monitoring management system |
| CN113743717A (en) * | 2021-07-26 | 2021-12-03 | 南方电网深圳数字电网研究院有限公司 | Reminding method, equipment and storage medium based on classification technology |
| CN115357838B (en) * | 2022-10-18 | 2023-05-12 | 南京国电南自轨道交通工程有限公司 | Rail transit equipment fault monitoring configuration method based on event triggering |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102075348A (en) * | 2010-12-14 | 2011-05-25 | 深圳市金宏威实业发展有限公司 | Remote-end network monitoring method, system and switch |
| US9218447B2 (en) * | 2014-01-10 | 2015-12-22 | International Business Machines Corporation | Automatic test pattern generation (ATPG) considering crosstalk effects |
| CN108520370A (en) * | 2018-08-06 | 2018-09-11 | 中国能源建设集团湖南省电力设计院有限公司 | Based on the integrated alarm merger of main distribution net and source tracing method |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7221987B2 (en) * | 2004-06-15 | 2007-05-22 | Kimberly-Clark Worldwide, Inc. | Generating a reliability analysis by identifying casual relationships between events in an event-based manufacturing system |
| US9318108B2 (en) * | 2010-01-18 | 2016-04-19 | Apple Inc. | Intelligent automated assistant |
| JP2017200275A (en) * | 2016-04-26 | 2017-11-02 | 株式会社日立製作所 | Electric power system analyzing system and method |
| CN107800553A (en) * | 2016-09-05 | 2018-03-13 | 中兴通讯股份有限公司 | A kind of method and apparatus of management equipment failure |
| CN107918629B (en) * | 2016-10-11 | 2020-09-04 | 北京神州泰岳软件股份有限公司 | Correlation method and device for alarm fault |
| CN109361260A (en) * | 2018-03-27 | 2019-02-19 | 国网辽宁省电力有限公司 | A kind of electric power system fault intelligent monitoring and judgment method |
-
2019
- 2019-06-18 CN CN201910525514.1A patent/CN110334078B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102075348A (en) * | 2010-12-14 | 2011-05-25 | 深圳市金宏威实业发展有限公司 | Remote-end network monitoring method, system and switch |
| US9218447B2 (en) * | 2014-01-10 | 2015-12-22 | International Business Machines Corporation | Automatic test pattern generation (ATPG) considering crosstalk effects |
| CN108520370A (en) * | 2018-08-06 | 2018-09-11 | 中国能源建设集团湖南省电力设计院有限公司 | Based on the integrated alarm merger of main distribution net and source tracing method |
Non-Patent Citations (1)
| Title |
|---|
| 基于模型驱动的变电站智能告警应用软件研究与设计;许祖锋;《中国优秀硕士学位论文全文数据库 工程科技II辑》;20140615;第C042-580页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110334078A (en) | 2019-10-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110334078B (en) | Power system alarm fault model definition method, computer equipment and storage medium | |
| CN109756030B (en) | Visual online monitoring and intelligent operation and maintenance method for secondary circuit of intelligent substation | |
| CN105488118B (en) | The methods of exhibiting and device of electrical equipment malfunction information | |
| CN103986240B (en) | A kind of efficiency analysis method of distribution real time data efficiency analysis treatment system | |
| CN105989427B (en) | Equipment state trend analysis and early warning method based on data mining | |
| CN111147306B (en) | Fault analysis method and device of Internet of things equipment and Internet of things platform | |
| CN117041029A (en) | Network equipment fault processing method and device, electronic equipment and storage medium | |
| CN114202304A (en) | Intelligent monitoring processing method and system for power grid faults | |
| CN112737124B (en) | Method and device for constructing power equipment monitoring terminal | |
| CN113742174A (en) | Cloud mobile phone application monitoring method and device, electronic equipment and storage medium | |
| CN112711507A (en) | Device alarm method, electronic device, and medium | |
| CN116345689A (en) | Secondary equipment monitoring method, device, computer equipment and storage medium | |
| CN115378127A (en) | Fault depth diagnosis method based on multi-dimensional data real-time analysis of power grid equipment | |
| CN205692170U (en) | A kind of battalion auxiliary tone data pretreatment | |
| CN103268353A (en) | Power grid alarming automatic response system and power grid alarming automatic response method | |
| CN114172271A (en) | Intelligent alarm testing method, system and equipment for online monitoring control function of master station | |
| Jingyu et al. | Statistical analysis of distribution network fault information based on multi-source heterogeneous data mining | |
| CN111313355A (en) | Method for updating monitoring signal event rule under manual supervision | |
| CN218549944U (en) | Intelligent substation remote control information fault diagnosis system and device | |
| CN117131123A (en) | Electric power important user panoramic situation sensing system and power supply path display method | |
| CN112398225B (en) | Remote signaling monitoring method for secondary equipment of transformer substation | |
| CN111082532B (en) | Safety control management system | |
| CN113722145B (en) | Method and device for rapidly identifying homologous anomaly in vacuum semantic environment | |
| CN115618289A (en) | Power distribution network defect analysis and diagnosis method based on cooperation of OCS (online charging system) and OMS (operation management system) | |
| CN115801545A (en) | Method, system, equipment and medium for reporting abnormity of hybrid cloud pipe in real time |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |