CN106787180B - A kind of analysis method and device of power transmission and transformation Condition Monitoring Data - Google Patents
A kind of analysis method and device of power transmission and transformation Condition Monitoring Data Download PDFInfo
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- CN106787180B CN106787180B CN201611123848.9A CN201611123848A CN106787180B CN 106787180 B CN106787180 B CN 106787180B CN 201611123848 A CN201611123848 A CN 201611123848A CN 106787180 B CN106787180 B CN 106787180B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 220
- 230000005540 biological transmission Effects 0.000 title claims abstract description 27
- 230000009466 transformation Effects 0.000 title claims abstract description 27
- 238000004458 analytical method Methods 0.000 title claims abstract description 14
- 238000012806 monitoring device Methods 0.000 claims abstract description 126
- 238000000034 method Methods 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims description 21
- 230000008569 process Effects 0.000 claims description 12
- FQDRMHHCWZAXJM-UHFFFAOYSA-N MDAI Chemical compound C1=C2CC(N)CC2=CC2=C1OCO2 FQDRMHHCWZAXJM-UHFFFAOYSA-N 0.000 description 25
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 238000012795 verification Methods 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000011109 contamination Methods 0.000 description 2
- 239000012212 insulator Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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Abstract
This application provides the analysis methods and device of a kind of power transmission and transformation Condition Monitoring Data, wherein method includes: the monitoring data for obtaining monitoring device and uploading；Determine that monitoring device uploads the newest time of monitoring data；Plausibility check is carried out to monitoring data, filters out reasonable monitoring data；The newest time of the reasonable monitoring data uploaded according to monitoring device determines the work state information of monitoring device；Early warning and alarm decision are carried out to reasonable monitoring data, obtain early warning and alert data.The application can provide reliable basic data for follow-up business, can be improved the accuracy of work state information.
Description
Technical field
The application belongs to power transmission and transformation monitoring field, the in particular to a kind of analysis method and dress of power transmission and transformation Condition Monitoring Data
It sets.
Background technique
In the prior art, the data of electric system power transmission and transformation monitoring device monitoring are usually directly to use, monitoring data
Quality is not guaranteed, so that follow-up business system is unable to get reliable monitoring data, reduces follow-up business system processing accuracy.
Summary of the invention
The application provides the analysis method and device of a kind of power transmission and transformation Condition Monitoring Data, for power transmission and transformation status monitoring
Data are handled, to provide reliable monitoring data for follow-up business.
In order to solve the above-mentioned technical problem, one technical solution of the application is to provide a kind of point of power transmission and transformation Condition Monitoring Data
Analysis method, comprising:
Obtain the monitoring data that monitoring device uploads；
Determine that monitoring device uploads the newest time of monitoring data；
Plausibility check is carried out to monitoring data, filters out reasonable monitoring data；
The newest time of the reasonable monitoring data uploaded according to monitoring device determines the work state information of monitoring device；
Early warning and alarm decision are carried out to reasonable monitoring data, obtain early warning and alert data.
Another technical solution of the application is to provide a kind of analytical equipment of power transmission and transformation Condition Monitoring Data, comprising:
Module is obtained, for obtaining the monitoring data of monitoring device upload；
Time determining module, for determining that monitoring device uploads the newest time of monitoring data；
Plausibility check module filters out reasonable monitoring data for carrying out plausibility check to monitoring data；
The newest time of work state information determining module, the reasonable monitoring data for being uploaded according to monitoring device determines
The work state information of monitoring device；
Early warning processing module obtains early warning and alarm number for carrying out early warning and alarm decision to reasonable monitoring data
According to.
First monitoring data are closed by the analysis method and device of power transmission and transformation Condition Monitoring Data described herein
Rationality verification, filters out reasonable monitoring data, true then according to the newest time of the reasonable monitoring data of monitoring device upload
Determine the work state information of monitoring device, reliable basic data can be provided for follow-up business, can be improved working condition letter
The accuracy of breath.
Detailed description of the invention
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the drawings in the following description are only some examples of the present application, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is the analysis method flow chart of the power transmission and transformation Condition Monitoring Data of the embodiment of the present application；
Fig. 2 is the flow chart of the determination monitoring device work state information process of the embodiment of the present application；
Fig. 3 is the flow chart that monitoring data are carried out with plausibility check process of the embodiment of the present application；
Fig. 4 is the flow chart that reasonable monitoring data are carried out with early warning and alarm decision process of the embodiment of the present application；
Fig. 5 is the analytical equipment structure chart of the power transmission and transformation Condition Monitoring Data of the embodiment of the present application；
Fig. 6 is the analytical equipment structure chart of the power transmission and transformation Condition Monitoring Data of the embodiment of the present application.
Specific embodiment
In order to keep technical characterstic and the effect of the application more obvious, the technical solution of the application is done with reference to the accompanying drawing
It further illustrates, the specific example that the application can also have other different is illustrated or implements, anyone skilled in the art
The equivalents done within the scope of the claims belong to the protection category of the application.
As shown in FIG. 1, FIG. 1 is the analysis method flow charts of the power transmission and transformation Condition Monitoring Data of the embodiment of the present application.This reality
It applies example and plausibility check first is carried out to monitoring data, filter out reasonable monitoring data, then determine the work shape of monitoring device
State information can provide reliable basic data for follow-up business, can be improved the accuracy of work state information.Specifically,
Include:
Step 101: obtaining the monitoring data that monitoring device uploads.
In implementation, account information (the Monitoring Device Account of acquisition monitoring device can be passed through
Information, MDAI) obtain monitoring data, wherein and account information includes account title, account type, account coding, tool
Body monitoring data and monitoring data acquisition time etc..Monitoring device under normal operating conditions, every pre- fixed sample interval in platform
A monitoring data are recorded in account information.
The monitoring data of acquisition are stored in memory by monitoring type, and the monitoring type being related to includes but is not limited to:
Microclimate, wire icing, aeolian vibration, insulator contamination, oil dissolved gas, iron core grounding current.
Step 102: determine that monitoring device uploads the newest time of monitoring data, i.e., it is the last upload monitoring data when
Between.
Step 103: plausibility check being carried out to monitoring data, filters out reasonable monitoring data.
Step 104: the newest time of the reasonable monitoring data uploaded according to monitoring device determines the work shape of monitoring device
State information.
Step 105: early warning and alarm decision being carried out to reasonable monitoring data, obtain early warning and alert data.
Above-mentioned steps 103,104 and 105 in the specific implementation, since monitoring data are stored according to monitoring type
, so plausibility check need to be carried out to the monitoring data that monitoring device uploads respectively by monitoring type, determine monitoring device
Work state information carries out early warning and alarm decision to reasonable monitoring data.
As shown in Fig. 2, for each monitoring type, determining the mistake of monitoring device work state information in above-mentioned steps 104
Journey includes:
Step 201: obtaining pre-warning time interval and the alarm time interval under the monitoring type.
Pre-warning time interval (Data Processing Operation in one specific embodiment, under each monitoring type
Parameters Warn, DPOP (Warn)) and alarm time interval (Data Processing Operation
Parameters Alarm, DPOP (Alarm)) such as table one.
Table one:
| Serial number | Monitoring type | Acquisition interval | Pre-warning time interval | Alarm time interval |
| 1 | Microclimate | 10 minutes | 30 minutes | 60 minutes |
| 2 | Wire icing | 30 minutes | 90 minutes | 120 minutes |
| 3 | Aeolian vibration | 10 minutes | 30 minutes | 60 minutes |
| 4 | Insulator contamination | 12 hours | 24 hours | 36 hours |
| 5 | Oil dissolved gas | 24 hours | 48 hours | 72 hours |
| 6 | Iron core grounding current | 12 hours | 24 hours | 36 hours |
| 7 | Energy storage motor | It is triggered when tripping | Temporary nothing | Temporary nothing |
Wherein, microclimate includes air themperature, line table temperature, humidity, wind direction and wind speed, air pressure, rainfall.
Step 202: extracting the newest time that n-th of monitoring device uploads the monitoring data of the monitoring type, judgement is current
Whether the newest time that the time subtracts the monitoring data that the monitoring device uploads the monitoring type is greater than the report under the monitoring type
Alert time interval if the determination result is YES then generates the working condition warning message of the monitoring device under the monitoring type, if sentencing
Disconnected result be it is no, then carry out step 203.
When it is implemented, the newest time that n-th of monitoring device uploads the monitoring data of the monitoring type is Date (n),
Current time is NowTime, and the alarm time interval under the monitoring type is DPOP (Alarm) (n), is carried out by following formula
The judgement of step 202:
(NowTime-Date (n)) > DPOP (Alarm) (n)?
Step 203: judging that current time subtracts the newest time that the monitoring device uploads the monitoring data of the monitoring type
Whether it is greater than the pre-warning time interval under the monitoring type, if the determination result is YES, then generates the monitoring under the monitoring type and fill
The working condition warning information set, if judging result be it is no, carry out step 204.
When it is implemented, being divided into DPOP (Warn) (n) between pre-warning time under n-th of monitoring device, pass through following formula
Carry out the judgement of step 203:
(NowTime-Date (n)) > DPOP (Warn) (n)?
Step 204: recording the number n of processed monitoring device, judge that number n is greater than or equal to the total of monitoring device
Number, if the determination result is YES, then terminate process, if judging result be it is no, repeat step 202 to 204 with the next monitoring of determination
The work state information of device n+1.
As shown in figure 3, being first numbered to all monitoring devices under a monitoring type, then dividing in above-mentioned steps 103
The other monitoring data to each monitoring device carry out plausibility check, reasonable with the monitoring data to n-th of monitoring device below
Property verification be illustrated, comprising:
Step 301: obtaining threshold information (the Threshold-Setting Information, TSI of the monitoring device
[MDAI (n)]), wherein threshold information includes first threshold and second threshold, and second threshold is less than first threshold.
Step 302: if the monitoring data of the monitoring device are greater than second threshold and are less than first threshold, the monitoring device
Monitoring data it is reasonable；If the monitoring data of the monitoring device are less than second threshold, the monitoring data of the monitoring device are suspicious；
If the monitoring data of the monitoring device are greater than first threshold, the monitoring data of the monitoring device do not meet code requirement.
Further, after step 302 further include: the monitoring data for not meeting code requirement carry out at rationalization
Reason.Specifically, rationalizing processing strategie includes setting conventional value, setting severe value, set count value and set newest processed monitoring data
(the reasonable monitoring data of moment acquisition before).Which kind of specifically rationalizes processing strategie using to determine according to monitoring type,
The application does not limit this.
When it is implemented, also to carry out desk checking for the monitoring data for not meeting code requirement, such as manually examined
Core, modification or confirmation etc., the data mode after desk checking become manually setting several data.
As shown in figure 4, being first numbered to all monitoring devices under a monitoring type, then dividing in above-mentioned steps 105
It is other that early warning and alarm decision are carried out to the reasonable monitoring data of each monitoring device, below with reasonable to n-th of monitoring device
Monitoring data carry out early warning and alarm decision is illustrated, comprising:
Step 401: obtaining alarm threshold value TSI [MDAI (n)] .Alarm and threshold value of warning the TSI [MDAI of the monitoring device
(n)].Warn。
Step 402: judging whether the monitoring data of the monitoring device are greater than the alarm threshold value, if the prison of the monitoring device
Measured data is greater than the alarm threshold value, then carries out step 403；If the monitoring data of the monitoring device are less than or equal to the alarm
Threshold value then carries out step 404.
When implementation, the untreated monitoring data list of the monitoring device is denoted as MDAI (n) _ List, every in the list
Monitoring data are denoted as MDAI (n) _ List [i], by following formula judge the monitoring device monitoring data whether be greater than it is described
Alarm threshold value:
MDAI (n) _ List [i] > TSI [MDAI (n)] .Alarm?
Step 403: judging whether there is duplicate working condition warning message in the predetermined time (such as 30 minutes), if without repeating
Working condition warning message, then increase newly an alert data, that is, increase newly a working condition warning message.If repeated work
Make situation warning message, then judge all monitoring data in list whether all with handle complete, that is, judge i >=MDAI (n) _
List.size () continues to obtain next monitoring data in MDAI (n) _ List, repeats step if also untreated completion
402。
Step 404: judging whether the monitoring data of the monitoring device are greater than the threshold value of warning, if the prison of the monitoring device
Measured data is greater than the threshold value of warning, then carries out step 405.
When implementation, judge whether the monitoring data of the monitoring device are greater than the threshold value of warning by following formula:
MDAI (n) _ List [i] > TSI [MDAI (n)] .Warn?
Step 405: judging whether there is duplicate working condition warning information in the predetermined time, if without duplicate working condition
Warning information then increases a warning data, that is, increases a working condition warning information newly.If repeated working condition early warning
Information, then judge whether all monitoring data in list are all completed to handle, that is, judges i >=MDAI (n) _ List.size
() continues to obtain next monitoring data in MDAI (n) _ List, repeats step 402 if also untreated completion.
The present embodiment can carry out early warning and alarm decision to the monitoring data of monitoring device, reduce repetition of alarms and pre-
It is alert, enhance user experience.
Based on the same inventive concept, a kind of analysis dress of power transmission and transformation Condition Monitoring Data is additionally provided in the embodiment of the present application
It sets, as described in the following examples.Since the principle that the device solves the problems, such as is similar to method, the implementation of the device can be with
Referring to the implementation of method, overlaps will not be repeated.
As shown in figure 5, Fig. 5 is the analytical equipment structure chart of the embodiment of the present application power transmission and transformation Condition Monitoring Data.The device
Can by logic circuit realize operation have in the equipment such as intelligent terminal, such as mobile phone, computer, or in a manner of functional module by
The function of each component of software realization, runs on the intelligent terminal.Specifically, including:
Module 501 is obtained, for obtaining the monitoring data of monitoring device upload；
Time determining module 502, for determining that monitoring device uploads the newest time of monitoring data；
Plausibility check module 503 filters out reasonable monitoring data for carrying out plausibility check to monitoring data；
Work state information determining module 504, the newest time of the reasonable monitoring data for being uploaded according to monitoring device
Determine the work state information of monitoring device；
Early warning processing module 505 obtains early warning and alarm for carrying out early warning and alarm decision to reasonable monitoring data
Data.
In the application further embodiment, for each monitoring type, work state information determining module 504 determines monitoring
The process of working state of device information includes:
Obtain pre-warning time interval and the alarm time interval under the monitoring type.
For each monitoring device under the monitoring type, judge that current time subtracts the monitoring device and uploads the monitoring class
Whether the newest time of the monitoring data of type is greater than the alarm time interval under the monitoring type, if the determination result is YES, then gives birth to
At the working condition warning message of the monitoring device under the monitoring type, if judging result be it is no, judge that current time subtracts
Whether the newest time that the monitoring device uploads the monitoring data of the monitoring type is greater than between the pre-warning time under the monitoring type
Every if the determination result is YES, then generating the working condition warning information of the monitoring device under the monitoring type.
In the application further embodiment, plausibility check module 503 closes the monitoring data of each monitoring device
Rationality checking procedure includes:
The threshold information of the monitoring device is obtained, wherein threshold information includes first threshold and second threshold.
If the monitoring data of the monitoring device are greater than second threshold and are less than first threshold, the monitoring number of the monitoring device
According to reasonable；If the monitoring data of the monitoring device are less than second threshold, the monitoring data of the monitoring device are suspicious；If the monitoring
The monitoring data of device are greater than first threshold, then the monitoring data of the monitoring device do not meet code requirement.
In the application further embodiment, as shown in fig. 6, the analytical equipment of power transmission and transformation Condition Monitoring Data further includes reasonable
Change processing module 506, for carrying out rationalization processing for the monitoring data for not meeting code requirement, wherein rationalization processing
Including the monitoring data for not meeting code requirement are set conventional value.
In the application further embodiment, early warning processing module 505 is specifically used for,
Obtain the alarm threshold value and threshold value of warning of the monitoring device；
Judge whether the monitoring data of the monitoring device are greater than the alarm threshold value；
If the monitoring data of the monitoring device are greater than the alarm threshold value, judge whether there is duplicate work in the predetermined time
Make situation warning message, if increasing an alert data newly without duplicate working condition warning message；
If the monitoring data of the monitoring device are less than or equal to the alarm threshold value, the monitoring number of the monitoring device is judged
According to whether the threshold value of warning is greater than, if the monitoring data of the monitoring device are greater than the threshold value of warning, the predetermined time is judged
Inside whether there is duplicate working condition warning information, if increasing a warning data without duplicate working condition warning information.
First monitoring data are closed by the analysis method and device of power transmission and transformation Condition Monitoring Data described herein
Rationality verification, filters out reasonable monitoring data, then determines the work state information of monitoring device, can mention for follow-up business
For reliable basic data, the accuracy of work state information can be improved.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The above is merely to illustrate technical scheme, and any those of ordinary skill in the art can be without prejudice to originally
Under the spirit and scope of application, modifications and changes are made to the above embodiments.Therefore, the rights protection scope of the application should regard power
Subject to sharp claimed range.
Claims (8)
1. a kind of analysis method of power transmission and transformation Condition Monitoring Data, which is characterized in that the described method includes:
Obtain the monitoring data that monitoring device uploads；
Determine that monitoring device uploads the newest time of monitoring data；
Plausibility check is carried out to monitoring data, filters out reasonable monitoring data；
The newest time of the reasonable monitoring data uploaded according to monitoring device determines the work state information of monitoring device；
Early warning and alarm decision are carried out to reasonable monitoring data, obtain early warning and alert data；
Carrying out plausibility check process to the monitoring data of each monitoring device includes:
The threshold information of the monitoring device is obtained, wherein threshold information includes first threshold and second threshold；
If the monitoring data of the monitoring device are greater than second threshold and are less than first threshold, the monitoring data of the monitoring device are closed
Reason；If the monitoring data of the monitoring device are less than second threshold, the monitoring data of the monitoring device are suspicious；If the monitoring device
Monitoring data be greater than first threshold, then the monitoring data of the monitoring device do not meet code requirement.
2. the analysis method of power transmission and transformation Condition Monitoring Data as described in claim 1, which is characterized in that for each monitoring class
Type determines that the process of monitoring device work state information includes:
Obtain pre-warning time interval and the alarm time interval under the monitoring type；
For each monitoring device under the monitoring type, judge that current time subtracts the monitoring device and uploads the monitoring type
Whether the newest time of monitoring data is greater than the alarm time interval under the monitoring type, and if the determination result is YES, then generating should
The working condition warning message of the monitoring device under monitoring type, if judging result be it is no, judge that current time subtracts the prison
Whether the newest time for the monitoring data that survey device uploads the monitoring type is greater than the pre-warning time interval under the monitoring type, if
Judging result be it is yes, then generate the working condition warning information of the monitoring device under the monitoring type.
3. the analysis method of power transmission and transformation Condition Monitoring Data as described in claim 1, which is characterized in that further include: for not
The monitoring data for meeting code requirement carry out rationalization processing, wherein rationalization processing includes the prison that will do not meet code requirement
Measured data sets conventional value.
4. the analysis method of power transmission and transformation Condition Monitoring Data as claimed in claim 2, which is characterized in that reasonable monitoring number
Include: according to progress early warning and alarm decision, the process for obtaining early warning and alert data
Obtain the alarm threshold value and threshold value of warning of the monitoring device；
Judge whether the monitoring data of the monitoring device are greater than the alarm threshold value；
If the monitoring data of the monitoring device are greater than the alarm threshold value, judge whether there is duplicate work shape in the predetermined time
Condition warning message, if increasing an alert data newly without duplicate working condition warning message；
If the monitoring data of the monitoring device are less than or equal to the alarm threshold value, judge that the monitoring data of the monitoring device are
It is no be greater than the threshold value of warning, if the monitoring data of the monitoring device be greater than the threshold value of warning, judge be in the predetermined time
It is no to have duplicate working condition warning information, if increasing a warning data without duplicate working condition warning information.
5. a kind of analytical equipment of power transmission and transformation Condition Monitoring Data, which is characterized in that described device includes:
Module is obtained, for obtaining the monitoring data of monitoring device upload；
Time determining module, for determining that monitoring device uploads the newest time of monitoring data；
Plausibility check module filters out reasonable monitoring data for carrying out plausibility check to monitoring data；
The newest time of work state information determining module, the reasonable monitoring data for being uploaded according to monitoring device determines monitoring
The work state information of device；
Early warning processing module obtains early warning and alert data for carrying out early warning and alarm decision to reasonable monitoring data；
The plausibility check module carries out plausibility check process to the monitoring data of each monitoring device
The threshold information of the monitoring device is obtained, wherein threshold information includes first threshold and second threshold；
If the monitoring data of the monitoring device are greater than second threshold and are less than first threshold, the monitoring data of the monitoring device are closed
Reason；If the monitoring data of the monitoring device are less than second threshold, the monitoring data of the monitoring device are suspicious；If the monitoring device
Monitoring data be greater than first threshold, then the monitoring data of the monitoring device do not meet code requirement.
6. the analytical equipment of power transmission and transformation Condition Monitoring Data as claimed in claim 5, which is characterized in that for each monitoring class
Type, the work state information determining module determine that the process of monitoring device work state information includes:
Obtain pre-warning time interval and the alarm time interval under the monitoring type；
For each monitoring device under the monitoring type, judge that current time subtracts the monitoring device and uploads the monitoring type
Whether the newest time of monitoring data is greater than the alarm time interval under the monitoring type, and if the determination result is YES, then generating should
The working condition warning message of the monitoring device under monitoring type, if judging result be it is no, judge that current time subtracts the prison
Whether the newest time for the monitoring data that survey device uploads the monitoring type is greater than the pre-warning time interval under the monitoring type, if
Judging result be it is yes, then generate the working condition warning information of the monitoring device under the monitoring type.
7. the analytical equipment of power transmission and transformation Condition Monitoring Data as claimed in claim 5, which is characterized in that further include at rationalization
Module is managed, for carrying out rationalization processing for the monitoring data for not meeting code requirement, wherein rationalization processing includes will not
The monitoring data for meeting code requirement set conventional value.
8. the analytical equipment of power transmission and transformation Condition Monitoring Data as claimed in claim 6, which is characterized in that the early warning handles mould
Block is specifically used for,
Obtain the alarm threshold value and threshold value of warning of the monitoring device；
Judge whether the monitoring data of the monitoring device are greater than the alarm threshold value；
If the monitoring data of the monitoring device are greater than the alarm threshold value, judge whether there is duplicate work shape in the predetermined time
Condition warning message, if increasing an alert data newly without duplicate working condition warning message；
If the monitoring data of the monitoring device are less than or equal to the alarm threshold value, judge that the monitoring data of the monitoring device are
It is no be greater than the threshold value of warning, if the monitoring data of the monitoring device be greater than the threshold value of warning, judge be in the predetermined time
It is no to have duplicate working condition warning information, if increasing a warning data without duplicate working condition warning information.
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| CN104124756B (en) * | 2013-04-27 | 2016-03-09 | 国家电网公司 | A kind of provincial power distribution network operation monitoring system based on whole network data |
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| 调度状态监测与监控预警系统中数据处理流程研究;赵万有，等;《黑龙江电力》;20160430;第38卷(第2期);119-122页 |
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