CN113852199A - Multi-dimensional distribution automation inspection system - Google Patents
Multi-dimensional distribution automation inspection system Download PDFInfo
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- CN113852199A CN113852199A CN202111129244.6A CN202111129244A CN113852199A CN 113852199 A CN113852199 A CN 113852199A CN 202111129244 A CN202111129244 A CN 202111129244A CN 113852199 A CN113852199 A CN 113852199A
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- 238000007689 inspection Methods 0.000 title claims abstract description 40
- 238000012216 screening Methods 0.000 claims abstract description 33
- 238000005070 sampling Methods 0.000 claims abstract description 31
- 238000005259 measurement Methods 0.000 claims abstract description 26
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 238000006243 chemical reaction Methods 0.000 claims abstract description 13
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 9
- 230000007547 defect Effects 0.000 claims description 5
- 238000006073 displacement reaction Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 abstract description 4
- 238000000034 method Methods 0.000 description 13
- 230000004224 protection Effects 0.000 description 10
- 230000006870 function Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 7
- 230000003068 static effect Effects 0.000 description 6
- 230000011664 signaling Effects 0.000 description 5
- 230000001629 suppression Effects 0.000 description 4
- 101150088622 BRK1 gene Proteins 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 229910002056 binary alloy Inorganic materials 0.000 description 2
- 230000000903 blocking effect Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- 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
- H02J13/00001—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 characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- 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
- H02J13/00002—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 characterised by monitoring
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- 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
- H02J13/00006—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 characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
-
- 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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- 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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
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- Engineering & Computer Science (AREA)
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- Human Computer Interaction (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a multi-dimensional distribution automation inspection system, which comprises: the data acquisition module is used for acquiring power grid equipment information, power grid equipment measurement sampling information and power grid equipment operation information; the intelligent data analysis module is used for converting the information by adopting a bit operation conversion algorithm and a label conversion object mode, classifying and integrating the converted information in a grading way, and screening data by comparing preset threshold information; and the intelligent client module is used for analyzing the screened data, integrating and screening the analyzed data, and performing client early warning by adopting an early warning mode of multi-measurement, multi-correspondence and multi-threshold. According to the invention, an automatic daily inspection means is improved by an intelligent operation means of collecting and analyzing data, early warning and calibration; through program intelligent operation, calibration, analysis and partial manual intervention, the inspection efficiency is improved, and the stable operation of the distribution automation system is ensured.
Description
Technical Field
The invention relates to the technical field of power distribution network inspection, in particular to a multi-dimensional power distribution automation inspection system.
Background
At present, power distribution automation system patrols including server operation information patrols, and system operation patrols, and the accident is patrolled, and operation defect is patrolled etc. and its system possesses following function: alarm query, querying historical operating data; the method comprises the steps of short message pushing, namely receiving data in real time through short messages; browsing and patrolling the graph; and the server operation information is inquired one by one.
However, the automation system has the following disadvantages in the daily patrol process: the alarm query patrol means is single, various information is queried through various query tools, the workload is increased, and the one-key patrol function is lacked; the short message pushing quantity is large and too frequent, the correct judgment of automation personnel is interfered, the alarm threshold value is not set intelligently, and a real-time patrol means is lacked; the graph browsing mode needs to pre-draw graph information, and the graph information is inquired through a four-area web, so that the workload is high, and the report counting function is not realized; the inspection of the line account information is complex, many inspection of a plurality of model account tables can inquire the distribution network line account, and the functions of one-key export and the like are not supported; the main and distribution networks are independent, and each patrol formation module is also independent, so that independent patrol is required, and results cannot be gathered in a centralized manner. In a word, the existing distribution automation inspection system is a distributed system, the data of the equipment has no relevance, and some data are displayed in different types or in a script form, so that the data are not convenient to analyze and the related equipment is accurately inspected and early-warned.
Disclosure of Invention
Based on this, the invention provides a multi-dimensional power distribution automation inspection system aiming at the technical problems.
The embodiment of the invention provides a multi-dimensional power distribution automation inspection system, which comprises:
the data acquisition module is used for acquiring power grid equipment information, power grid equipment measurement sampling information and power grid equipment operation information; the power grid equipment operation information is in an E text form;
the data intelligent analysis module is used for converting the power grid equipment information of different measurement types into object information with an incidence relation by adopting a bit operation conversion algorithm; converting an E text of the operation information of the power grid equipment into object information with an incidence relation by adopting a label conversion object mode; classifying and grading integrating the converted power grid equipment information, the power grid equipment measurement sampling information and the converted power grid equipment operation information, and performing data screening by comparing preset threshold information;
and the intelligent client module is used for analyzing the screened data, integrating and screening the analyzed data, and performing client early warning by adopting an early warning mode of multiple measurement, multiple correspondence and multiple thresholds.
In one embodiment, the power grid equipment information is obtained by real-time inquiry through a client; the power grid equipment measurement sampling information is obtained through timing scheduling inquiry;
the query mode is as follows: and (3) linking an alarm library, a model library and a measurement sampling library in a network database by using the drive link pool under multiple data sources to query the multiple data sources.
In one embodiment, the operation information of the power grid equipment is acquired by an equipment operation information acquirer;
the device operation information collector monitors the operation state of each server in the server node information by reading the memory real-time library and the script mode, and the monitoring information comprises: memory status, disk status, network status.
In one embodiment, the monitoring information further includes: usage of tablespaces, containment operations, and suspicious operation records of containment operations.
In one embodiment, the power grid equipment information of different measurement types includes: current value, voltage value, active value, inactive value.
In one embodiment, the bit operation conversion algorithm performs an and operation on the device ID converted into a domain information ID corresponding to the measurement type after being shifted left by 32 bits in binary.
In one embodiment, the intelligent data analysis module includes: an alarm screening unit;
the alarm screening unit is used for monitoring frequent displacement of the switch equipment, frequent switching on and off of a communication channel and remote control failure alarm in the remote control equipment; and the time status screening of the table information in the ALARM mode is carried out.
In one embodiment, the intelligent data analysis module includes: a remote measuring sampling screening unit;
the telemetering sampling screening unit is used for appointing telemetering sampling information through bit operation of relevant information of the equipment list and screening data according to time intervals through dynamic sampling table names and column names defined in the telemetering sampling information.
In one embodiment, the intelligent data analysis module includes: an equipment operation information screening unit;
the device operation information screening unit is used for intelligently converting the text file into object information with an incidence relation by adopting a label conversion object mode through an E file monitored and generated by the node operation information monitor, converting the object information into specific device information and screening the specific device information through a preset threshold value.
In one embodiment, the intelligent client module is specifically used for statistical tour warning, automatic system operation defect tour warning, tour monitoring of distribution automation equipment ledgers, report statistics warning, accident warning and database warning of hardware equipment.
Compared with the prior art, the multi-dimensional power distribution automation inspection system provided by the embodiment of the invention has the following beneficial effects:
according to the invention, the automatic daily inspection means is promoted by the intelligent operation means of data acquisition and analysis, early warning and calibration, so that the workload is reduced, the operation stability of the system is ensured, and a solvable scheme is provided by the data acquisition and analysis, so that the problems occurring in the inspection process are accurately and effectively solved; through program intelligent operation, calibration, analysis and partial manual intervention, the inspection efficiency is improved, and the stable operation of the distribution automation system is ensured. The method comprises the steps of carrying out multi-data source collection after upgrading and integrating scattered inspection modules in a power distribution automation system, analyzing and screening data intelligent algorithms, and uniformly inspecting, early warning and correcting; the routing inspection modules which are dispersed under different equipment and network segments in the original distribution automation system are gathered, and the functions are upgraded on the basis, so that the cost for communication between the original dispersed routing inspection modules is greatly reduced, and the problem processing efficiency is improved; the abnormity of the equipment is generated, data monitoring, analysis and statistics, early warning and correction are carried out to form a complete closed loop, and the operation function efficiency of the distribution automation system is greatly improved.
Drawings
FIG. 1 is a schematic diagram of a system network topology provided in one embodiment;
fig. 2 is a schematic diagram of a logical structure of the system provided in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Fig. 1 shows the network topology of the invention, service deployment is performed by means of internal client chaining bastion machine, the system relies on software environment, such as JDK, MYSQL, DMSERVER, etc. deployed in web server, remote client accesses the system through firewall of web by means of adding white list, wherein data interaction between web server and database server is as shown in fig. 2.
Referring to fig. 1 and 2, a multi-dimensional power distribution automation inspection system provided in an embodiment of the present invention includes:
the data acquisition module is used for acquiring the power grid equipment information, the equipment measurement sampling information and the equipment operation information in a timing and quantitative mode; sending the data to a data intelligent analysis module, screening by an intelligent algorithm, classifying, and classifying the data information in a grading manner; the intelligent client module analyzes the screened information, designs an early warning mode with more measurement, more correspondence and more thresholds to carry out client warning and generates a solution and a statistical report; and finally, abnormal information is processed in a machine intelligent calibration, alignment and manual intervention mode, so that the problem is solved and a closed loop is formed. Specifically, the method comprises the following steps:
a data acquisition module: the module mainly comprises two parts:
the first is equipment measurement data acquisition in a timing scheduling function and equipment information acquisition queried by a client in real time, and the query of the part mainly depends on a drive link pool under multiple data sources to ensure that the higher query efficiency is achieved when a warning library, a model library and multiple data sources of a measurement sampling library are linked.
The second is data acquisition of an equipment operation information acquisition unit, the acquisition unit monitors each server in the server node information by reading a memory real-time library and a script mode, and the monitored information comprises: memory, disk, network state. Also monitored is the usage of tablespace, containment operations and containment operations' suspicious operation records. The three data information are collected and transmitted in a mode of generating an E text.
The data intelligent analysis module: the module regularly schedules and inquires measurement sampling information by inquiring real-time equipment information, integrates data analyzed by an E text, performs data screening and early warning by comparing preset threshold information, and simultaneously converts the incidence relation by adopting a bit operation mode aiming at different types of measurement of the equipment, such as current value, voltage value, active value, passive value and the like. The specific conversion algorithm is to convert the device ID into a binary system, shift the binary system by 32 bits to the left, and perform an and operation on the domain information ID corresponding to the measurement type. The module comprises three aspects for the information of data intelligent screening:
and (4) alarming: the method mainly monitors frequent displacement of the switch equipment, frequent switching on and off of a communication channel and remote control failure alarm in the remote control equipment; the data is mainly screened by the time state of the related table information in the ALARM mode.
Telemetry sampling: the data screening of the telemetering sampling specifies telemetering sampling information through bit operation of relevant information of the equipment list, and the data screening is carried out according to time intervals through a dynamic sampling table name and a column name defined in the telemetering sampling information.
Equipment operation information: the method comprises the steps of intelligently converting a text file into object information with an incidence relation by adopting a label conversion object mode through an E file monitored and generated by a node operation information monitor, converting the object information into specific equipment information, and screening and early warning through a preset threshold value.
The intelligent client module: the module performs classification, hierarchical integration and secondary screening on the screened data (wherein the analysis is to re-analyze the data after conversion and screening into specific equipment information, measurement sampling information and equipment operation information), provides a set of intelligent early warning function and sampling analysis function at a client, provides a derivable data report, and provides a resolvable scheme or early warning by displaying visual information. The method mainly comprises the following steps: performing statistics tour early warning on hardware equipment; an automatic system operation defect inspection tour; inspecting and monitoring the distribution automation equipment machine account and counting reports; accident early warning; database forewarning, etc.
Example (b):
1. data table structure
2. State definition
Node state definition specification
Network state definition specification
Node type definition specification
3. Hardware patrol of equipment
The file format of the server CPU, the memory, the hard disk capacity and the network state E is as follows:
4. power distribution automation system operation defect inspection tour
Frequent displacement of switch
select yx_id,long2_to_long1(yx_id),count(*)from dms_yx_bw A where (occur_time>＝(to_date('％s','yyyy-mm-dd hh24:mi:ss'))and occur_time<(to_date('％s','yyyy-mm-dd hh24:mi:ss'))and status<＝34)groupbyA.yx_idhavingcount(*)>＝％dorderbycount(*)desc
Three variables, start time, end time, count number, support input acquisition, default day 0 to day 23:59:59, count number default 4.
Protecting against frequent repositioning
select yx_id,long2_to_long1(yx_id),count(*)from dms_rl_yx_warn A where(occur_time>＝(to_date('％s','yyyy-mm-dd hh24:mi:ss'))and occur_time<(to_date('％s','yyyy-mm-dd hh24:mi:ss'))and status<＝34)groupbyA.yx_idhavingcount(*)>＝％dorderbycount(*)desc
long2_ to _ long1(yx _ id), this value corresponds to the distribution network protection node table (dms _ relay _ sig) master key. And displaying the webpage by using the corresponding Chinese name reference. And the retrieval of responsibility areas, affiliated feeders, Chinese name keywords, voltage grades and the like in the distribution network protection node table is supported.
Frequent switching on and off of channel
select chan_id,count(*)from dms_channel_gk A where(occur_time>＝(to_date('％s','yyyy-mm-dd hh24:mi:ss'))andoccur_time<(to_date('％s','yyyy-mm-ddhh24:mi:ss'))and status in(1,4))group byA.chan_id havingcount(*)>＝％dorderbycount(*)desc。
channel id, which corresponds to the distribution network channel table (dms _ channel _ info) primary key. And displaying the webpage by using the corresponding Chinese name reference.
Support area, keyword retrieval. Region acquisition means: dms _ channel _ info.channel _ id finds dms _ channel _ info.terminal _ id
Channel exit
select channel _ id, status from dms _ channel _ gk A where (occur _ time >) (to _ date ('% s', 'yyyyyyyy-mm-ddhh 24: mi: ss')) and occur _ time < (to _ date ('% s', 'yyyyyyyyyyy-dd hh24: mi: ss')) and status in (1,4)) order by occur _ time (1 for input and 4 for exit)
channel id, which corresponds to the distribution network channel table (dms _ channel _ info) primary key. And displaying the webpage by using the corresponding Chinese name reference.
Support area, keyword retrieval. Region acquisition means: dms _ channel _ info.id finds dms _ channel _ info.terminal _ id ═ dms _ terminal _ info.id finds dms _ terminal _ info.area _ id.
Failure of remote control
select occur_time,meas_id,feeder_id,combined_id,user_id,content,status from alarm.dms_op_ctrl c where(occur_time>＝(to_date('％s','yyyy-mm-dd hh24:mi-ss'))and occur_time<(to_date('％s','yyyy-mm-dd hh24:mi-ss'))and(status in(6,10)))orderbyoccur_timedesc
The method for converting the meas _ id into the master key of the distribution network switch table (dms _ cb _ device) is as follows:
and the responsibility areas, the affiliated feeders, Chinese name keywords, voltage classes and the like in the distribution network switch list are searched.
5. Standing book inspection
selectid,name,feeder_id,area_id,term_dept,para_6,term_type,if_stat_static from dms_terminal_info
selectid,name,st_idfromdms_feeder_device
selectid,namefromsubstation
selectid,simu_mode,ctrl_mode,feeder_idfromcb_ctrl_mode
selectid,terminal_id,para_4,proto_type,manual_statusfromdms_channel_info
selectpsid,tem_id,index_nofromdms_send_dc
selectmenu_name,actual_value,display_valuefromsys_menu_info
Patrol data
The fields are as follows: manual state setting index statistics of terminal name terminal type two-three remote communication mode operation state stipulation type of FA execution mode of regional unit plant station name line name FA operation mode
A uniqueness field: id of terminal name dms _ terminal _ info
The region: xuzhou (write dead or use configuration file according to deployment area)
Unit: term _ depth of dms _ term _ info corresponds to menu "unit to which terminal belongs"
Factory site name, the feeder _ id of the dms _ terminal _ info finds the st _ id of the dms _ feeder _ device finds the name of the substation
Line name: the feeder _ id of the dms _ terminal _ info corresponds to the name of the dms _ feeder _ device
An FA operation mode: the dms _ terminal _ info table feeder _ id ═ cb _ ctrl _ mode table feeder _ id, the single _ mode of the cb _ ctrl _ mode table corresponds to the menu "DA running mode", and if not, the menu is "unconfigured"
The FA executes the mode: the dms _ terminal _ info table feeder _ id ═ cb _ ctrl _ mode table feeder _ id, ctrl _ mode of the cb _ ctrl _ mode table corresponds to the menu "DA execution mode," unconfigured "if not found"
And (3) terminal name: dms _ terminal _ info table name
The terminal type: term _ type of dms _ term _ info corresponds to menu "terminal type"
Two and three remote operations: three methods are as follows:
1) string with two remote/three remote in general name
2) Judging the system configuration, wherein the ID of the dms _ terminal _ info table is dms _ send _ dc.tem _ ID, and acquiring the record in the dms _ send _ dc table; there is a record and dms _ send _ dx.index _ no is three-way if 0, and 2-way if not
3) The system configuration is judged to be too troublesome and temporarily not written
The communication mode is as follows: the ID of the dms _ terminal _ info table is dms _ channel _ info.terminal _ ID, and dms _ channel _ info.para _4 corresponds to the menu "terminal communication mode"
The operation state is as follows: run _ state of dms _ terminal _ info table corresponds to menu "distribution terminal operation mode"
The type of the convention: the ID of the dms _ final _ info table is dms _ channel _ info.final _ ID, and dms _ channel _ info.proto _ type corresponds to the menu "preamble communication protocol"
Manual configuration: the ID of the dms _ terminal _ info table is dms _ channel _ info.terminal _ ID, and dms _ channel _ info.manual _ status corresponds to the menu "communication station manual configuration"
Index statistics: the if _ stat _ state of the dms _ terminal _ info table corresponds to the menu "binary decision".
6. Process patrol
selectocure time, node id, proc alias, status, contentfromalarm, proc _ war _ info (time range is set by person)
Taking proc _ alias as a unit, counting the times, and checking the specific details by right key
status corresponding menu "progress alarm status"
7. Database patrol
Watch space use patrol
Sql：select
t.nametablespace_name,
d.free_size*SF_GET_PAGE_SIZE()/1024/1024
||'M'free_space,
d.total_size*SF_GET_PAGE_SIZE()/1024/1024
||'M'total_space,
d.free_size*100/d.total_size"％FREE"
from
v$tablespacet,
v$datafiled
where
t.id＝d.group_id；
And setting a utilization rate alarm threshold value and giving a key prompt to the table space with higher utilization rate.
Single-meter record utilization rate inspection tour
The data E file format is as follows:
and setting a utilization rate alarm threshold value and prompting the point of using a higher table.
8. Line FA state patrol
Configuration patrol:
cb _ id of the FA mode definition table cb _ ctrl _ mode as an index
The switch name is as follows: cb _ id decision 407 or 13502, referring to the table name
Static definitions whether or not: whether a record exists in the equipment ID (cb _ ID) of the distribution network static equipment switch relation table or not
Static definition: and acquiring feeder _ ID and displaying the name of a feeder line by using the equipment ID (cb _ ID) of the distribution network static equipment switch relation table
Whether the data is not actually measured: breaker table id ═ cb _ id, get the record status, and take the and with 0x00002000
The number of associated protections: number of records of rly _ brk1 ═ cb _ id in protection signal table (a plurality of records are repeatedly processed as follows)
Protection 1: the main key id (sig _ id) of the record is obtained by protecting the name of the real _ brk1 ═ cb _ id in the signal protection table
Static definitions whether or not: whether a record exists in the equipment ID sigid of the distribution network static equipment switch relation table or not
Whether the data is not actually measured: the guard signal table id sig _ id is obtained, and the record qual is anded with 0x00002000
Protection type: sigjd, pnt _ type of the record is obtained, and menu definition information is presented
And (3) state patrol:
cb _ id of the FA mode definition table cb _ ctrl _ mode as an index
The switch name is as follows: cb _ id decision 407 or 13502, referring to the table name
The method comprises the following steps: st _ id of cb _ ctrl _ mode, corresponding to primary key of factory site table
The current operation mode is as follows: simu _ mode0 of cb _ ctrl _ mode online 1 offline 2 simulation (menu definition table DA run mode)
The current execution mode is as follows: ctrl _ mode0 interaction of cb _ ctrl _ mode 1 auto (menu definition table DA execution mode)
9. Redundant data inspection tour of distribution automation system
Redundant graph tour
1) Graphic information table graph _ info _ net, line single line diagram, showing that one line pair generally uses 3 single line diagrams (simplified diagram, detailed scheduling diagram, detailed inspection diagram) by using line name, and aiming at line sets less than 3 or more than three
Redundant model inspection tour
1) Primary device redundancy
1. Feeder table dms _ feeder _ device field st _ id, rdf _ id, graph _ name are null (all or a relationship)
2. The switching station table dms _ combined _ device fields feeder _ id, rdf _ id are empty
3. The switch table dms _ cb _ device feeder _ id, the fields rdf _ id, ind, jnd are empty
4. The switch table dms _ disconnect _ device field feeder _ id, rdf _ id, ind, jnd is empty
5. The feeder segment table dms _ section _ device field feeder _ id, rdf _ id, ind, jnd is empty
6. The bus table dms _ bs _ device field feeder _ id, combined _ id, rdf _ id, nd is null
7. The protection table dms _ relay _ sig field feeder _ id is empty, the reply _ brk1 is empty, or the id is determined to be empty first, and if the record does not exist in the table, the record is also redundant data
2) Secondary device redundancy
Distribution network terminal table dms _ terminal _ info
The chan _ ID is found in the distribution network channel table through the terminal ID, and the chan _ ID1 of the prepositive remote signaling definition table dms _ fes _ yx _ definition does not exist in the chan _ ID
3) Preamble data
The chan _ id1 of the preposition remote signaling table dms _ fes _ yx _ define table is empty or dot _ no <0
The chan _ id1 of the preposed telemetry table dms _ fes _ yc _ define table is null or dot _ no <0
Redundant user patrol
1) Obtaining user information in a system
Selectuser_id，user_name，create_datefromsys_priv_user_d_def
2) Obtaining user operation information
Seectocucur _ time, content, status, custom _ group, node _ id, user _ idfrogmaser _ office (ocucur _ time > -TO _ DATE ('2021-02-2300:00:00', 'yyyyyyy-mm-ddhh 24: mi: ss') AND ocucur _ time < (TO _ DATE) ('2021-02-2316:38:36', 'yyyyyyy-mm-ddhh 24: mi: ss') ORDERYocucur _ time default TO no login as a redundant user for more than 30 days
10. Suspicious operation inspection tour of distribution automation system
Hang tablet operation tour
Only the distribution network listing is processed, the listing information table (token _ info) app _ record is 0 and app _ record3>0
Acquiring a field: token _ id, graph _ name, device _ id, token _ no, note, record _ app, user _ name, reserv _ str1, resp _ area, record _ app3
Calculating the card hanging time according to the card hanging time, wherein the longer the time is, the longer the time is
Supporting the inquiry of listing duration, type, user, keyword, etc
Judging the table _ no of the device _ id, if the table _ no is 13502, supporting the viewing of distribution network telecommand deflection history alarms (listing time to the present); 13533 support viewing distribution network secondary remote signaling deflection history alarm (time to now)
Judging table _ no of device _ id, if 13502 supports checking A-phase current sampling (the listing time is up to now); 13506 supporting the check of bus voltage sampling (time to now)
Locking operation patrol
1. Blocked device parse file dms _ devstate _20201117153000.txt- - -lock _ info
2. And judging whether the file recording is automatic or not and if so, judging that the equipment type is a distribution network switch as follows: the remote signaling value is 0, the current is larger than the X value, and the suspicious mark is carried out; the remote signaling value is 1, the current is less than the X value, and the suspicious mark is carried out; x value can be set
3. Checking the blocking operating time of the device (settable time period, long blocking flag suspicious)
selected _ time, content, status, combined _ ID, stored _ group, feeder _ ID, node _ ID, resp _ area, user _ ID, yx _ ID from, dms _ op _ yx where (occur _ time > -TO _ DATE ('2020-11-1900: 00:00', 'yyyyy-mm-dd hh24: mi: ss') AND occur _ time < (TO _ DATE) ('2020-11-1917:25:55', 'yyyy-mm-ddhh24: mi)') AND (status) } 3 or status > -2 AND _ ID > -TO _ logging 1_ TO _ logging _2 (ORR) } device)
Suppression operation tours
1. The suppression device parses a file dms _ devstate.
2. According to whether the file recording is automatic or not, if not, the state is inhibited, and then the file is suspicious
3. If the file record is in automatic state, check the suppression operation time of the equipment (the time period can be set, the long-time suppression mark is suspicious)
selected _ time, content, status, combined _ ID, stored _ group, feeder _ ID, node _ ID, resp _ area, user _ ID, yx _ ID from area, dms _ op _ yx where (occur _ time > -TO _ DATE ('2020-11-1900: 00:00', 'yyyyy-mm-dd hh24: mi: ss') AND ocucur _ time < (TO _ DATE) ('2020-11-1917:25:55', 'yyyyy-mm-dd hh24: mi: ss')) AND status ═ 7 yx _ ID ═ long _ 1_ TO _ long2 (device ID)) ORDER _ time.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the techniques in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features. Furthermore, the above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. The utility model provides a distribution automation system of patrolling and examining of multidimension degree which characterized in that includes:
the data acquisition module is used for acquiring power grid equipment information, power grid equipment measurement sampling information and power grid equipment operation information; the power grid equipment operation information is in an E text form;
the data intelligent analysis module is used for converting the power grid equipment information of different measurement types into object information with an incidence relation by adopting a bit operation conversion algorithm; converting an E text of the operation information of the power grid equipment into object information with an incidence relation by adopting a label conversion object mode; classifying and grading integrating the converted power grid equipment information, the power grid equipment measurement sampling information and the converted power grid equipment operation information, and performing data screening by comparing preset threshold information;
and the intelligent client module is used for analyzing the screened data, integrating and screening the analyzed data, and performing client early warning by adopting an early warning mode of multiple measurement, multiple correspondence and multiple thresholds.
2. The multi-dimensional power distribution automation inspection system according to claim 1,
the power grid equipment information is obtained by real-time inquiry through a client; the power grid equipment measurement sampling information is obtained through timing scheduling inquiry;
the query mode is as follows: and (3) linking an alarm library, a model library and a measurement sampling library in a network database by using the drive link pool under multiple data sources to query the multiple data sources.
3. The multidimensional power distribution automation inspection system according to claim 1, wherein the power grid equipment operation information is acquired by an equipment operation information collector;
the device operation information collector monitors the operation state of each server in the server node information by reading the memory real-time library and the script mode, and the monitoring information comprises: memory status, disk status, network status.
4. The multi-dimensional power distribution automation inspection system according to claim 3, wherein the monitoring information further includes: usage of tablespaces, containment operations, and suspicious operation records of containment operations.
5. The multidimensional power distribution automation inspection system according to claim 1, wherein the different measurement types of power grid equipment information include: current value, voltage value, active value, inactive value.
6. The multi-dimensional power distribution automation inspection system according to claim 1, wherein the bit operation conversion algorithm performs an and operation for converting the device ID into a binary field information ID shifted left by 32 bits and corresponding to the measurement type.
7. The multidimensional power distribution automation inspection system according to claim 1, wherein the data intelligent analysis module includes: an alarm screening unit;
the alarm screening unit is used for monitoring frequent displacement of the switch equipment, frequent switching on and off of a communication channel and remote control failure alarm in the remote control equipment; and the time status screening of the table information in the ALARM mode is carried out.
8. The multidimensional power distribution automation inspection system according to claim 1, wherein the data intelligent analysis module includes: a remote measuring sampling screening unit;
the telemetering sampling screening unit is used for appointing telemetering sampling information through bit operation of relevant information of the equipment list and screening data according to time intervals through dynamic sampling table names and column names defined in the telemetering sampling information.
9. The multidimensional power distribution automation inspection system according to claim 1, wherein the data intelligent analysis module includes: an equipment operation information screening unit;
the device operation information screening unit is used for intelligently converting the text file into object information with an incidence relation by adopting a label conversion object mode through an E file monitored and generated by the node operation information monitor, converting the object information into specific device information and screening the specific device information through a preset threshold value.
10. The multidimensional power distribution automation inspection system according to claim 1, wherein the intelligent client module is specifically used for statistical inspection early warning of hardware devices, inspection early warning of operation defects of an automation system, inspection monitoring of machine accounts of power distribution automation devices, report statistical early warning, accident early warning, and database early warning.
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