CN113852199B - Multi-dimensional power distribution automation inspection system - Google Patents
Multi-dimensional power distribution automation inspection system Download PDFInfo
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- CN113852199B CN113852199B CN202111129244.6A CN202111129244A CN113852199B CN 113852199 B CN113852199 B CN 113852199B CN 202111129244 A CN202111129244 A CN 202111129244A CN 113852199 B CN113852199 B CN 113852199B
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- 238000007689 inspection Methods 0.000 title claims abstract description 50
- 238000012216 screening Methods 0.000 claims abstract description 32
- 238000005070 sampling Methods 0.000 claims abstract description 28
- 238000005259 measurement Methods 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 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
- 230000000903 blocking effect Effects 0.000 claims description 4
- 230000006870 function Effects 0.000 description 9
- 238000000034 method Methods 0.000 description 9
- 230000004224 protection Effects 0.000 description 9
- 230000011664 signaling Effects 0.000 description 6
- 230000003068 static effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 229910002056 binary alloy Inorganic materials 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000001629 suppression Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012106 screening analysis Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- 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]
-
- 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
-
- 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The application discloses 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 data intelligent analysis module is used for converting the information by adopting a bit operation conversion algorithm and a label conversion object mode, integrating the converted information in a classified mode and a grading mode, and carrying out 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 carrying out client early warning in a multi-measurement, multi-correspondence and multi-threshold early warning mode. According to the application, the automatic daily patrol means is promoted by collecting analysis data, early warning and calibrated intelligent operation means; through the intelligent operation, calibration, analysis and partial manual intervention modes of the program, the inspection efficiency is improved, and the stable operation of the power distribution automation system is ensured.
Description
Technical Field
The application relates to the technical field of power distribution network inspection, in particular to a multi-dimensional power distribution automation inspection system.
Background
At present, the power distribution automation system inspection comprises server operation information inspection, system operation inspection, accident inspection, operation defect inspection and the like, and the system has the following functions: alarming and inquiring, namely inquiring historical operation data; pushing the short message, and receiving data in real time through the short message; graphic browsing inspection; and the server runs the information and inquires one by one.
However, the automated system has the following disadvantages in the daily tour process: the alarm inquiry and inspection means are single, various information is inquired through various inquiry tools, the workload is increased, and the one-key inspection function is lacked; the short message pushing quantity is large, too frequent, the correct judgment of automation personnel is interfered, the alarm threshold value is not intelligently set, and a real-time inspection means is lacked; the graphic browsing mode needs to draw graphic information in advance, and the four-region web inquiry is performed, so that the workload is high, and the report statistics function is not realized; the line ledger information is complex to patrol, and a plurality of patrol multiple model ledger tables can only inquire the distribution network line ledgers and do not support functions such as one-key export; the main distribution network is independent, the patrol formation modules are independent, individual patrol is needed, and the results cannot be summarized in a centralized way. In a word, the existing distribution automation inspection system is a distributed system, equipment data is not associated, and some data is displayed in different types or in script form, so that analysis of the data and accurate inspection early warning of related equipment are inconvenient.
Disclosure of Invention
Based on the technical problems, the application provides a multi-dimensional power distribution automation inspection system.
The embodiment of the application 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 association relations by adopting a bit operation conversion algorithm; converting E text of the power grid equipment operation information into object information with association relation by adopting a label conversion object mode; the converted power grid equipment information, the power grid equipment measurement sampling information and the converted power grid equipment operation information are integrated in a classified and graded mode, and data screening is carried out by comparing preset threshold information;
and the intelligent client module is used for analyzing the screened data, integrating and screening the analyzed data, and carrying out client early warning by adopting a multi-measurement, multi-correspondence and multi-threshold early warning mode.
In one embodiment, the power grid equipment information is obtained through real-time query by a client; the power grid equipment measures sampling information and obtains the sampling information through timing scheduling inquiry;
the query mode is as follows: and (3) adopting a data link pool under multiple data sources to link an alarm library in the distribution network database, a model library and a measurement sampling library to inquire the multiple data sources.
In one embodiment, the power grid equipment operation information is acquired through an equipment operation information acquisition unit;
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 state, disk state, network state.
In one embodiment, the monitoring information further includes: the usage of the tablespace, blocking the suspicious operation records of the operations and suppressing the operations.
In one embodiment, the different measurement types of grid device information include: current value, voltage value, active value, reactive value.
In one embodiment, the bit operation conversion algorithm performs an and operation for converting the device ID into a binary left-shifted 32-bit domain information ID corresponding to the measurement type.
In one embodiment, the intelligent data analysis module includes: an alarm screening unit;
the alarm screening unit is used for monitoring frequent deflection of the switch equipment, frequent switching of the communication channel and remote control failure alarms in the remote control equipment; and filtering the time state of the table information under the ALARM mode.
In one embodiment, the intelligent data analysis module includes: a telemetry sampling screening unit;
the telemetry sampling screening unit is used for designating telemetry sampling information through bit operation of the equipment list related information, and carrying out data screening through dynamic sampling table names and column names defined in the telemetry sampling information according to time intervals.
In one embodiment, the intelligent data analysis module includes: a device operation information screening unit;
the device operation information screening unit is used for intelligently converting the text file into object information with association relation by adopting a label conversion object mode through the E file which is monitored and generated by the node operation information monitor, converting the object information into specific device information and screening through a preset threshold value.
In one embodiment, the intelligent client module is specifically used for statistics inspection early warning of hardware equipment, inspection early warning of running defect of an automation system, inspection monitoring of a power distribution automation equipment machine account, report statistics early warning, accident early warning and database early warning.
Compared with the prior art, the multidimensional power distribution automatic inspection system provided by the embodiment of the application has the following beneficial effects:
according to the application, the automatic daily patrol means is promoted by the intelligent operation means of collecting and analyzing data, early warning and calibrating, the workload is reduced, the running stability of the system is ensured, and a resolvable scheme is provided by collecting and analyzing the data, so that the problems in the patrol process are accurately and effectively solved; through the intelligent operation, calibration, analysis and partial manual intervention modes of the program, the inspection efficiency is improved, and the stable operation of the power distribution automation system is ensured. The distributed inspection modules in the power distribution automation system are subjected to multi-data source acquisition after upgrading and integration, and the intelligent data algorithm analysis and screening, unified inspection early warning and correction are performed; different equipment and distributed patrol modules under a network segment in the original power distribution automation system are summarized, and the functions are updated on the basis, so that the cost required by communication among the distributed patrol modules is greatly reduced, and the efficiency of processing the problems is improved; the abnormal generation of the equipment, data monitoring, analysis and statistics, early warning and correction form a complete closed loop, and the operation function efficiency of the power 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 the system logic provided in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
FIG. 1 shows the network topology of the application, service deployment is performed by means of internal client linking fort machines, the system dependent software environment such as JDK, MYSQL, DMSERVER is deployed in a web server, and a remote client accesses the system through a web firewall by means of whitelisting, wherein the data interaction between the web server and the database server is as in FIG. 2.
Referring to fig. 1 and 2, in one embodiment of the present application, a multi-dimensional power distribution automation inspection system is provided, the system comprising:
the method comprises the steps of using a data acquisition module to quantitatively and regularly acquire power grid equipment information, equipment measurement sampling information and equipment operation information; the data is sent to a data intelligent analysis module, and the data information is classified according to classification through intelligent algorithm screening; the intelligent client module analyzes the screened information, designs a multi-measurement, multi-correspondence and multi-threshold early warning mode to carry out client warning, and generates a solution and a statistical report; and finally, processing abnormal information in a machine intelligent calibration, alignment and manual intervention mode, so as to ensure that a closed loop is formed for solving the problem. Specifically:
and a data acquisition module: the module mainly comprises two parts:
the method is characterized in that equipment measurement data in a timing scheduling function is collected, equipment information queried by a client in real time is collected, and the query of the part mainly depends on a device link pool under multiple data sources to ensure higher query efficiency when the alarm library, the model library and the measurement sampling library of the distribution network database are linked.
And secondly, data acquisition of the equipment operation information acquisition unit is carried out, wherein 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 the following components: memory, disk, network state. Also monitored is the usage of the tablespace, blocking operations, and suppressing suspicious operation records of operations. The above three data information collection processes data transmission by means of generating E text.
And the data intelligent analysis module: the module integrates the equipment information which is queried in real time, the measurement sampling information which is queried in a timing scheduling manner and the data which is analyzed by the E text, performs data screening and early warning by comparing preset threshold information, and simultaneously converts association relations in a bit operation mode aiming at different types of measurement of equipment, such as current value, voltage value, active value, reactive value and the like. The specific conversion algorithm is to perform AND operation on the domain information ID corresponding to the measurement type after converting the device ID into binary system and shifting the binary system by 32 bits. The information of the module for intelligent screening of data comprises three aspects:
alarming: the method mainly monitors the frequent deflection of the switching equipment, the frequent switching of the communication channel and the remote failure alarm in the remote control equipment; the data is filtered mainly by the time status of the relevant table information in the ALARM mode.
Telemetry sampling: data screening of telemetry samples data screening is performed by assigning telemetry sample information by bit operations on device list related information, and by dynamic sample table names and column names defined in the telemetry sample information at time intervals.
Device operation information: and E files which are monitored and generated by the node operation information monitor are intelligently converted into object information with association relation by adopting a label conversion object mode, and then are converted into specific equipment information, and screening and early warning are carried out through a preset threshold value.
Intelligent client module: the module performs classification, grading integration and secondary screening on the data after screening analysis (wherein the analysis is to re-analyze the data after conversion screening into specific equipment information, measurement sampling information and equipment operation information), provides an intelligent early warning function and a sampling analysis function on a client, notifies the provision of a exportable data report, and provides a resolvable scheme or early warning through the display of visual information. Mainly comprises the following parts: statistical inspection early warning of hardware equipment; inspection of running defects of an automatic system; inspection monitoring and report statistics of the distribution automation equipment machine account; early warning of accidents; database pre-warning, etc.
Examples:
1. data table structure
2. State definition
Node state definition specification
Network state definition specification
Node type definition specification
3. Equipment hardware inspection
The server CPU, memory, hard disk capacity, network status E file E file format is as follows:
4. inspection for operation defects of power distribution automation system
Frequent switch deflection
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, statistics times, support input acquisition, default day 0 to day 23:59:59, statistics times default 4 times.
Protecting against frequent deflection
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) primary key. And displaying the webpage by using the corresponding Chinese name reference. And supporting the searching of the responsibility areas, the feeder lines, the Chinese name keywords, the voltage levels and the like in the distribution network protection node table.
Frequent switching of channels
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。
chan_id, this value 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 found dms_channel_info.terminal_id= dms_terminal_info, id found dms_terminal_info
Channel exit
select chan_id, status from dms_channel_gk A Where= (to_date ('% s', 'yyyy-mm-ddhh24: mi: ss'))) and occus_time < (to_date ('% s', 'yyyy-mm-dd hh24: mi: ss')) and status in (1, 4)) order by occus_time (1 represents input, 4 represents exit)
chan_id, this value 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= 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 meas_id into a distribution network switch table (dms_cb_device) main key is as follows:
and supporting the searching of the responsibility areas, the feeder lines, the Chinese name keywords, the voltage levels and the like in the distribution network switch table.
5. Standing book inspection tour
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
Tour data
The fields are as follows: area unit factory station name line name FA operation mode FA execution mode terminal name terminal type two-three remote communication mode operation state protocol type manual setting index statistics
Uniqueness field: id of terminal name dms_terminal_info
Region: xuzhou (write dead or use configuration file depending on deployment area)
Units: terminal_dept of dms_terminal_info corresponds to a menu "terminal-belonging unit"
The station name is the name that the feeder_id of dms_terminal_info finds the st_id of dms_feeder_device and the substation
Line name: the feeder_id of dms_terminal_info corresponds to the name of dms_feeder_device
FA operation mode: dms_terminal_info table feeder_id=cb_ctrl_mode table feeder_id, the sim_mode of the cb_ctrl_mode table corresponds to the menu "DA run mode", and if not found "unconfigured" it is determined that the menu "DA run mode" is not found.
FA execution mode: dms_terminal_info table feeder_id=cb_ctrl_mode table feeder_id, ctrl_mode of cb_ctrl_mode table corresponds to the menu "DA execution mode," if not found "unconfigured"
Terminal name: dms_terminal_info table name
Terminal type: the term type of dms_terminal_info corresponds to the menu "terminal category"
Two three remote: three methods:
1) Character string with two-remote/three-remote in common name
2) Judging the system configuration, namely obtaining records in the dms_send_dc table, wherein the ID=dms_send_dc.tem_id of the dms_terminal_info table; there is a record and dms_send_dx.index_no=0 is three tele, otherwise 2 tele
3) System configuration judgment is too troublesome to write temporarily
Communication mode: the id=dms_channel_info.terminal_id of the dms_terminal_info table, dms_channel_info_4 corresponds to the menu "terminal communication mode".
Operating state: run_state of dms_terminal_info table corresponds to the menu "Power distribution terminal run mode"
Protocol type: the id=dms_channel_info.terminal_id of the dms_terminal_info table, dms_channel_info corresponds to the menu "front communication protocol".
And (5) manually setting: the id=dms_channel_info.terminal_id of the dms_channel_info table corresponds to the menu "communication plant station manual status".
And (3) index statistics: if_stat_static of the dms_terminal_info table corresponds to the menu "binary judgment".
6. Progress tour
SelectocurTime, node_id, proc_alias, status, contentfrom. Proc_wave_info (time range manually set)
Counting times by taking proc_alias as a unit, and checking specific details by right key
status corresponds to the menu "progress alert State"
7. Database tour
Watch space use tour
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；
Setting a usage alarm threshold, and giving a key prompt for using a higher table space.
Single-table record utilization rate inspection
The data E file format is as follows:
setting a usage alarm threshold, and prompting the usage of a higher table.
8. Line FA status tour
Configuration inspection:
cb_id of FA mode definition table cb_ctrl_mode as index
Switch name: cb_id decision 407 or 13502, referring to the table name
Static definition whether or not there is: whether a record exists in the device id=cb_id of the static device switch relation table of the distribution network
Static definition: device id=cb_id of distribution network static device switch relation table, obtaining feeder_id, and displaying feeder name
Whether or not actually measured: breaker table id=cb_id, get the record status, and 0x00002000 and
number of associated protections: the number of records of the oly_brk1=cb_id in the guard signal table (a plurality of records are repeatedly processed as follows)
Protection 1: the oly_brk1=cb_id in the protection signal table, the protection name, and the record primary key id (sig_id) are acquired
Static definition whether or not there is: whether a record exists in the device id=sig_id of the static device switch relation table of the distribution network
Whether or not actually measured: guard signal table id=sig_id, the record qual is obtained, and 0x00002000 is obtained
Protection type: protection signal table id=sig_id, pnt _type of the record is acquired, and menu definition information is displayed
State inspection:
cb_id of FA mode definition table cb_ctrl_mode as index
Switch name: cb_id decision 407 or 13502, referring to the table name
The plant belongs to: the st_id of cb_ctrl_mode corresponds to the primary key of the station table
Current operation mode: simu_Mod0 on-line 1 off-line 2 simulation of cb_ctrl_mode (Menu definition table DA run mode)
The current implementation mode is as follows: ctrl_mod0 interaction 1 automatic of cb_ctrl_mode (Menu definition table DA execution mode)
9. Redundant data inspection of power distribution automation system
Redundant graphics tour
1) The graph_info_net of the graph information table, the line single line diagram, uses line names, and generally uses 3 single line diagrams (sketch, scheduling detail drawing, operation check detail drawing) for one line pair, and shows for line sets of less than 3 or more than three lines
Redundant model inspection
1) Primary device redundancy
1. Feeder table dms_feeder_device field st_id, rdf_id, graph_name is empty (is either or relation)
2. The switchyard table dms_combined_device field feeder_id, rdf_id is empty
3. The switch table dms_cb_device feeder_id, field rdf_id, ind, jnd is empty
4. The knife switch table dms_discrete_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. Bus table dms_bs_device fields feeder_id, combined_id, rdf_id, nd is null
7. The guard table dms_relay_sig field feeder_id is empty, and the oly_brk1 field is empty or the id is judged to be the corresponding table first, and if no record exists in the table, the table 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 dms_fes_yx_defined in the pre-remote signaling definition table does not exist
3) Preamble data
The chan_id1 of the dms_fes_yx_definition table of the preposed remote signaling table is empty or dot_no <0
The chan_id1 of the preamble telemetry table dms_fes_yc_defined table is empty or dot_no <0
Redundant user tour
1) Acquiring user information in a system
Selectuser_id，user_name，create_datefromsys_priv_user_d_def
2) Acquiring user operation information
selected time, content, status, stored_group, node_id, user_idfrom_open_date (time > = TO_DATE ('2021-02-2300:00:00', 'yyyyy-mm-ddhh 24: mi: ss') AND time < = TO_DATE ('2021-02-2316:38:36', 'yyyy-mm-ddhh24: mi: ss') ORDERByyccus_time defaults TO not log in as a redundant user for more than 30 days
10. Suspicious operation inspection of power distribution automation system
Inspection tour for hanging card operation
Only deal with distribution network cards, card information table (token_info) app_record=0 and app_record3>0
Acquisition field: token_id, graph_name, device_id, token_no, note, record_app, user_name, reserv_str1, resp_area, record_app3
Calculating the time of the card according to the time of the card, the longer the time is, the more can
Support of queries for duration, type, user, keywords, etc. of listing
Judging a table_no of the device_id, and if the table_no is 13502, checking a distribution network remote signaling displacement history alarm (the time of a card is up to date); 13533 support checking the history of distribution network secondary remote signalling deflection alarms (time to date)
Judging the table_no of the device_id, if the table_no is 13502, checking the A-phase current sample (the time of the card is up to now); 13506 support for checking bus line voltage sampling (time to hang)
Locked operation tour
1. The blocking device parses the file dms_devstate_2020117153000. Txt- - -lock_info
2. According to whether the file record is automatic or not, if yes, the equipment type is a distribution network switch, and the following judgment is carried out: the remote signaling value is 0, the current is larger than the X value, and the suspicious is marked; the remote signaling value is 1, the current is smaller than the X value, and the suspicious is marked; the X value can be set
3. Checking the device lockout operation time (the time period can be set, and the lockout mark is suspicious for a long time)
selected time, content, status, combined_id, assembled_group, feeder_id, node_id, resp_area, user_id, yx_id from_aarm.dms_op_yx_where (time > = TO_DATE ('2020-11-19 00:00', 'yyyyy-mm-dd hh24: mi: ss') AND occus_time < = TO_DATE ('2020-11-1917:25:55', 'yyy-mm-ddhh 24: mi: ss') AND (status=3 or) or status=1 or status=2 AND yx_id=long 1_to_ng 2 (device ID)) ORDER BY_time
Suppression operation inspection
1. The suppression device parses the file dms_devstate. Txt- - -resepin_info in the following format:
2. according to whether the file record is automatic or not, if not, the state is inhibited, and the file record is suspicious
3. If the file record is in an automatic state, checking the device to inhibit operation time (the time period can be set and the long-time inhibition mark is suspicious)
selected time, content, status, combined_id, assembled_group, feeder_id, node_id, resp_area, user_id, yx_id from alarm_dms_op_yx_where (time > = TO_DATE ('2020-11-19 00:00', 'yyyyy-mm-dd hh24: mi: ss') AND ocre_time < = TO_DATE ('2020-11-19 17:25:55', 'yyyy-mm-dd hh24: mi: ss')) AND status = 7 yx_id = long1 TO long2 (device ID)) ORDER BY_time.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the various techniques in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description. Also, the above examples merely represent several embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (6)
1. A multi-dimensional power distribution automation inspection system, comprising:
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 association relations by adopting a bit operation conversion algorithm; converting E text of the power grid equipment operation information into object information with association relation by adopting a label conversion object mode; the converted power grid equipment information, the power grid equipment measurement sampling information and the converted power grid equipment operation information are integrated in a classified and graded mode, and data screening is carried out by comparing preset threshold information;
the intelligent client module is used for analyzing the screened data, integrating and screening the analyzed data, and carrying out client early warning in a multi-measurement, multi-correspondence and multi-threshold early warning mode;
the bit operation conversion algorithm is used for performing AND operation on the domain information ID corresponding to the measurement type after converting the equipment ID into binary left shift 32 bits;
the data intelligent analysis module comprises: an alarm screening unit;
the alarm screening unit is used for monitoring frequent deflection of the switch equipment, frequent switching of the communication channel and remote control failure alarms in the remote control equipment; screening the time state of the table information in the ALARM mode;
the data intelligent analysis module comprises: a telemetry sampling screening unit;
the remote measuring sampling screening unit is used for appointing remote measuring sampling information through bit operation of the related information of the equipment list, and carrying out data screening through dynamic sampling table names and column names defined in the remote measuring sampling information according to time intervals;
the data intelligent analysis module comprises: a device operation information screening unit;
the device operation information screening unit is used for intelligently converting the text file into object information with association relation by adopting a label conversion object mode through the E file which is monitored and generated by the node operation information monitor, converting the object information into specific device information and screening through a preset threshold value.
2. The multi-dimensional power distribution automation inspection system of claim 1, wherein,
the power grid equipment information is obtained through real-time query of a client; the power grid equipment measures sampling information and obtains the sampling information through timing scheduling inquiry;
the query mode is as follows: and (3) adopting a data link pool under multiple data sources to link an alarm library in the distribution network database, a model library and a measurement sampling library to inquire the multiple data sources.
3. The multi-dimensional power distribution automation inspection system of claim 1, wherein the grid equipment operation information is obtained 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 state, disk state, network state.
4. The multi-dimensional power distribution automation inspection system of claim 3, wherein the monitoring information further comprises: the usage of the tablespace, blocking the suspicious operation records of the operations and suppressing the operations.
5. The multi-dimensional power distribution automation inspection system of claim 1, wherein the different metering types of grid equipment information comprises: current value, voltage value, active value, reactive value.
6. The multi-dimensional power distribution automation inspection system according to claim 1, wherein the intelligent client module is specifically used for statistics inspection early warning of hardware equipment, inspection early warning of running defects of an automation system, inspection monitoring and report statistics early warning of a power distribution automation equipment machine account, accident early warning and database early warning.
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