CN104237680B - Electric energy quality monitoring data detection method, equipment and system - Google Patents

Electric energy quality monitoring data detection method, equipment and system Download PDF

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Publication number
CN104237680B
CN104237680B CN201410422950.3A CN201410422950A CN104237680B CN 104237680 B CN104237680 B CN 104237680B CN 201410422950 A CN201410422950 A CN 201410422950A CN 104237680 B CN104237680 B CN 104237680B
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electric energy
sequence
standard
monitoring data
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CN201410422950.3A
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CN104237680A (en
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马素霞
曾杰
邱丽羚
马晨霞
张凯
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华北电力大学
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Abstract

A kind of detection method of electric energy quality monitoring data, step are as follows:A, electric energy quality monitoring data are obtained from electric energy quality monitoring terminal, and performed one or more in step B, step C, step D;B, the Acquisition channel label from electric energy quality monitoring data, and compared with the standard channel label to prestore;C, sequence signature is obtained from electric energy quality monitoring data, and compared with the standard sequence feature to prestore;D, sequential value error detection is carried out to electric energy quality monitoring data;E, comparison one or more in step B, step C and step D and/or testing result are fed back into power quality analysis server, basic database is stored in after meeting the data parsing of on-line monitoring system requirement, basic data as advanced calculating, undesirable data feedback regenerates PQDIF files to monitoring terminal according to standard definition.Data quick detection can be detected to monitoring terminal using this method, simplify the screening to monitoring terminal.

Description

Electric energy quality monitoring data detection method, equipment and system

Technical field

The present invention relates to power system device field, more particularly to a kind of parameters of electric power detection technique.

Background technology

Electric energy quality monitoring is that Utilities Electric Co. understands Power System Performance and makes it the premise for meeting user's request, is point Analysis and the first step for solving power quality problem, are that electric energy quality grade service standard and inspection are established in power market transaction Whether power supply department can reach the technology and data basis of the quality of power supply level of contract engagement.

For a long time, the more data that small range is established based on certain producer's monitoring terminal of Electric Power Quality On-line Monitor System Center, ununified standard.This differs the background analysis software for causing different power quality monitoring devices, between each other Data are incompatible.Meanwhile electric energy quality monitoring and analysis are related to extensive data source, if the content of different types of data and Descriptor format is different, index implication disunity, will cause electric energy quality monitoring and analyze data managerial confusion.

Itd is proposed in the IEEE P1159.3 standards that U.S. electric is formulated with Electronic Engineering Association (IEEE) standard committee A kind of power quality data DIF --- Power Quality Data Interchange Format (PQDIF).It The soft and hardware of monitoring device is totally independent of, the compatibling problem that not only can preferably solve multi-data source data can also be real The multi-angle observation function of existing quality of power supply physical attribute, meets the development need of Power Quality Monitoring Technology, therefore often made For electric energy quality monitoring net bottom layer data DIF.

Power quality field at home, with the construction of each province electric energy quality monitoring net, the formulation on PQDIF specifications Work is also corresponding to be carried out, while each equipment for monitoring power quality producer also realizes the conversion generation of PQDIF files in a device one after another.

IEEE P1159.3 standards define to the channel labels of most power quality indexs, but due to the standard Definition is more early, and with the development of monitoring terminal technology and the quality of power supply, only rely on by means of the electricity defined in IEEE P1159.3 standards Energy quality index has been difficult to fully meet the demand that each grid company is analyzed electric energy quality monitoring.Therefore current each grid company Often the power quality index defined in IEEE P1159.3 standards is extended according to self-demand.In addition IEEE Various definitions be present to the label of some power indexs in P1159.3 standards, as harmonic wave can use ID_QC_SPECTRA (harmonic wave frequencies Spectrum) definition, it is also possible to ID_QC_SPECTRA_HGROUP (harmonic wave group) is defined.

CN203608218U documents disclose a kind of the logical of power quality monitoring device IEC61850 consistency detection systems T unit, it is mentioned that the substantially step of statically and/or dynamically consistency detection is carried out to power quality monitoring device, but it is right The consistency detection for how being monitored data is not introduced.CN101587152A discloses a kind of electric energy quality monitoring system System, it is proposed that the structure of system is formed, and is not also referred to the consistency detection for how being monitored data.

Due to the structural complexity of PQDIF standards in itself and define diversity, the formulation of each province's PQDIF specifications and each factory There is many difference in understanding of the family to standard, occur that channel labels collection or sequence label collection are determined when realizing PQDIF specifications The skimble-scamble problem of justice, the PQDIF files that devices from different manufacturers generates are caused to be parsed by the program of corresponding producer.It is more Part data type None- identified or the situation that direct mistake exits occurs in the directly parsing of third party's program in the case of number, because This can only frequently change source code recompility for different definition structure.This not only hampers the popularization of PQDIF standards, and The original intention for proposing PQDIF is run counter to.

The content of the invention

In consideration of it, it is an object of the present invention to monitoring terminal access Electric Power Quality On-line Monitor System before, to respectively setting The PQDIF data formats of standby producer carry out conformance definition and quick detection, interpretation its whether meet to access current on-line monitoring The requirement of system, thus solve that channel labels collection or the definition of sequence label collection occur when different manufacturers realize PQDIF specifications Disunity, the problem of causing the popularization of PQDIF standards to be obstructed, carried for the compatible unified quality of power supply intergrated workbench of construction Technical support is supplied.

To achieve these goals, the present invention proposes a kind of detection method of electric energy quality monitoring data, technical scheme It is specific as follows:

A kind of detection method of electric energy quality monitoring data, comprises the following steps:

A, electric energy quality monitoring data are obtained, and are performed one or more in step B, step C, step D;

B, the Acquisition channel label from electric energy quality monitoring data, and compared with the standard channel label to prestore;

C, sequence signature is obtained from electric energy quality monitoring data, and compared with the standard sequence feature to prestore;

D, sequential value error detection is carried out to electric energy quality monitoring data;

E, comparison one or more in step B, step C and step D and/or testing result are fed back into the quality of power supply point Server is analysed, basic database is stored in after meeting the Monitoring Data parsing of Electric Power Quality On-line Monitor System requirement, as electric energy The basic data of the advanced calculating of quality, the Monitoring Data for not meeting Electric Power Quality On-line Monitor System requirement feed back to monitoring eventually End, monitoring terminal regenerate PQDIF files according to standard definition, finally realize that PQDIF standards are unified.

Wherein, the electric energy quality monitoring data are power quality data DIF PQDIF files, correspondingly, step B Refer to the data from power quality data DIF PQDIF files with " from electric energy quality monitoring data obtain " in step C Acquisition channel label, sequence signature are distinguished in source record, " obtains " and refers to from electric energy from electric energy quality monitoring data in step D Sequential value is obtained in the observational record of qualitative data DIF PQDIF files.

Electric energy quality monitoring data class is various, such as can include:Electric company's title, monitoring substation name, bus Title, line name, voltage class, busbar short-circuit capacity, power supply unit capacity, User Agreement capacity, device identification, voltage amplitude Value and phase, current amplitude and phase etc..

Preferably, the step B includes:

B1, the Acquisition channel label from electric energy quality monitoring data, and perform one or more in step B2 to B4;

Whether lack the standard channel label to prestore in the channel labels that B2, detection obtain;

Whether the channel labels that B3, detection obtain have than the more unnecessary passage of standard channel label;

Whether the channel labels that B4, detection obtain have vicious channel labels;

Correspondingly, in step E return B2 to B4 steps in testing result it is one or more.

Preferably, the step B2 includes:

B21, the channel labels of the detection acquisition are recorded as channel definition table;

B22, traversal channel definition table, are contrasted with the standard channel definition table of record standard channel labels, if passage is determined The channel labels recorded in adopted table are present in standard channel definition table, then delete the passage mark in standard channel definition table Label;

B23, using remaining channel labels in standard channel definition table as whether lacking the standard channel label that prestores Testing result.

Preferably, the step B3 includes:

B31, the channel labels for detecting the acquisition are recorded as channel definition table;

B32, traversal record standard channel label standard channel definition table, contrasted with channel definition table, if standard is led to Road defines the standard channel label recorded in table and is present in channel definition table, then deletes the passage mark in channel definition table Label;

B33, using remaining channel labels in channel definition table as whether including the testing result of unnecessary passage.

Preferably, the step B4 includes:

B41, the channel labels for detecting the acquisition are recorded as channel definition table;

B42, traversal record standard channel label standard channel definition table, contrasted with channel definition table, if standard is led to Road defines the standard channel label recorded in table and is present in channel definition table, then deletes in channel definition table and determine with standard channel The channel labels in adopted table;

B43, using remaining result detects as error channel label in channel definition table and standard channel definition table knot Fruit.

Preferably, the step C includes:

C1, the sequence signature include sequence label and/or sequence unit, and sequence is obtained from electric energy quality monitoring data Label and/or sequence unit, and correspondingly perform step C2 and/or C3 and/or C4;

C2, the detection acquisition sequence label in whether lack the standard sequence label to prestore;

C3, the detection acquisition sequence label in whether have vicious sequence label;

Whether C4, the sequence unit of the detection acquisition have vicious sequence unit;

Correspondingly, testing result one or more in return to step C2, C3 and C4 in step E.

Preferably, the step C2 includes:

C21, the sequence label for detecting the acquisition is recorded as sequence definition table;

C22, ergodic sequence define table, are contrasted with the standard sequence definition table of record standard sequence label, if sequence is determined The sequence label recorded in adopted table is present in standard sequence definition table, then deletes the sequence mark in standard sequence definition table Label;

C23, using remaining sequence label in standard sequence definition table as whether lacking the standard sequence label that prestores Testing result.

Preferably, the step D includes:

D1, obtain electric energy quality monitoring data each passage in each sequence sequential value average;

D2, the sequential value average of acquisition and the bound of standard sequence value to prestore contrasted, sequence of calculation value average surpasses Go out the number of bound;

D3, judge beyond the sequential value average number of upper lower limit value ratio shared in total sequence number whether beyond Critical field;

D4, the result using the comparing result and/or judged result as sequential value error detection.

In addition, the invention also provides a kind of detection method of electric energy quality monitoring data.Technical scheme is specific as follows:

A kind of detection device of electric energy quality monitoring data, including electric energy quality monitoring data capture unit and database, And one or more of channel labels comparing unit, sequence signature comparing unit, sequential value error detection units, examine in addition Measurement equipment also includes result returning unit, and the electric energy quality monitoring data capture unit and database are connected to channel labels ratio Compared with one or more of unit, sequence signature comparing unit, sequential value error detection units, wherein,

Electric energy quality monitoring data capture unit obtains electric energy quality monitoring data from electric energy quality monitoring terminal;

One or more in database in pre-stored criteria channel labels information, standard sequence feature, the bound of sequential value ;

Channel labels comparing unit enters the channel labels in electric energy quality monitoring data with the standard channel label to prestore Row compares;

Sequence signature comparing unit enters the sequence signature in electric energy quality monitoring data with the standard sequence feature to prestore Row compares;

Sequential value error detection units carry out sequential value error detection;

As a result returning unit backward channel label comparing unit, sequence signature comparing unit and sequential value error detection units Middle one or more comparison or testing result.

In addition, the invention also provides a kind of electric energy quality monitoring data detection system.Concrete scheme is as follows:

A kind of electric energy quality monitoring data detection system, including the inspection of electric energy quality monitoring terminal, electric energy quality monitoring data Measurement equipment and power quality analysis server, it is characterised in that:Electric energy quality monitoring terminal is connected to electric energy quality monitoring data Detection device, electric energy quality monitoring data-detection apparatus are connected to power quality analysis server, wherein, electric energy quality monitoring number One in comparing or detect according to detection device after electric energy quality monitoring terminal obtains electric energy quality monitoring data, below execution It is or multinomial:

A, the Acquisition channel label from electric energy quality monitoring data, and compared with the standard channel label to prestore;

B, sequence signature is obtained from electric energy quality monitoring data, and compared with the standard sequence feature to prestore;

C, sequential value error detection is carried out to electric energy quality monitoring data;

And will compare and/or testing result feeds back to power quality analysis server, meet quality of power supply on-line monitoring system Basic database is stored in after the Monitoring Data parsing that system requires, as the basic data of the advanced calculating of the quality of power supply, does not meet electricity The Monitoring Data of energy quality online monitoring system requirement feeds back to monitoring terminal, and monitoring terminal regenerates according to standard definition PQDIF files, finally realize that PQDIF standards are unified.

By using detection method, equipment and electric energy quality monitoring the data inspection of the electric energy quality monitoring data of the present invention Examining system, it can be defined according to the standard criterion formulated, such as PQDIF passages with the standard criterion of sequence definition to each monitoring The Monitoring Data of terminal is used for quickly detecting, and judges whether detected monitoring terminal meets to access Analysis System for Power Quality Condition, screening operation of the grid company to monitoring terminal is enormously simplify, help to realize the unification of PQDIF standards.

Brief description of the drawings

Fig. 1 is the method flow diagram parsed to data source record.

Fig. 2 is the method flow diagram parsed to observational record.

Fig. 3 is the standard channel definition table for recording PQDIF standard channel labels.

Fig. 4 is passage missing label overhaul flow chart.

Fig. 5 is the unnecessary label overhaul flow chart of passage.

Fig. 6 is channel errors label overhaul flow chart.

Fig. 7 is sequence label missing overhaul flow chart.

Fig. 8 is sequence unit fault detection procedures figure.

Fig. 9 is sequential value fault detection procedures figure.

Figure 10 is the overview flow chart of electric energy quality monitoring data detection method of the present invention.

Embodiment

Below in conjunction with the accompanying drawings, the present invention is elaborated.

Illustrated in embodiments of the present invention by taking PQDIF files as an example, such as the data source record from PQDIF files Middle Acquisition channel label, sequence signature respectively, acquisition sequential value is detected respectively from the observational record of PQDIF files, but It will be appreciated by those skilled in the art that for different pieces of information DIF specified in other standards, as long as meeting the present invention's Spirit, it should also be summarised within the scope of the claims in the present invention protection.

The detailed example embodiment of following discloses.However, concrete structure disclosed herein and function detail merely for the sake of The purpose of example embodiment is described.

It should be appreciated, however, that the present invention is not limited to disclosed particular exemplary embodiment, but covering falls into disclosure model Enclose interior all modifications, equivalent and alternative.In the description to whole accompanying drawings, identical reference represents identical member Part.

It will also be appreciated that term "and/or" includes any of one or more related list items as used in this With all combinations.It will further be appreciated that when part or unit are referred to as " connecting " or during " coupled " to another part or unit, it Miscellaneous part or unit are can be directly connected or coupled to, or there may also be intermediate member or unit.In addition, for describing Between part or unit other words of relation should understand in the same fashion (for example, " between " to " directly between ", " adjacent " is to " direct neighbor " etc.).

Specifically, the detection of PQDIF data formats is primarily directed to the channel labels in PQDIF files, sequence label and sequence Train value is detected, therefore the data source record firstly the need of parsing PQDIF files and observation note are detected to PQDIF files Record.

As an example, the parsing of PQDIF files is realized on .NET platforms, by using by Electrotek Class and function in the pqdcom4.dll dynamic link libraries of Concepts companies exploitation complete the parsing work of PQDIF files. Pqdcom4.dll is freely downloaded on IEEE websites, pqdcom4.dll is added in project and shown by " addition is quoted " For PQDCOM4Lib.The parsing of PQDIF files needs the relation ability between data source record and observational record in dependency logic structure It can complete, so mainly parsing data source record and observational record, analysis program is mainly by using in PQDCOM4Lib What the function in PQDCOM4Class classes was realized.But those skilled in that art understand that the invention is not limited in this compiling is flat Platform, or this compiling function.

The analytic method flow of data source record is as shown in Figure 1.It comprises the following steps:

Step 1:The passage that data source is recorded, which is first obtained, when parsing data source record defines number.

Step 2:If channel number is not 0, call function parses each passage successively, is parsing the process of each passage In, if important leaf node, then be assigned to variable storage according to step 3;If not leaf node then calls accordingly Function further parses.

Step 3:According to the obtained channel information leaf node value of parsing, by the tagPhaseID in data source record, TagQuantityMeasuredID, tagQuantityCharacteristicID field information are stored in tableChannels tables In (channel definition table) and return, for being used during sense channel.

IEEE P1159.3 standards are determined corresponding to each logical channel by three kinds of label (as shown in table 1) combinations of definitions Power quality index type.Three indexs are the first three items index in accompanying drawing 3.

Table 1

Bookmark name Label value is illustrated tagPhaseID ID_PHASE_AN tagQuantityTypeID ID_QT_VALUELOG tagQuantityMeasuredID ID_QM_VOLTAGE

If each channel labels value of the correspondence illustrated in table 1 is respectively ID_PHASE_AN, ID_QT_VALUELOG and ID_ QM_VOLTAGE, you can it is stable state A phase voltage virtual values to determine this passage.

Step 4:According to the obtained sequence value information leaf node value of parsing, by tagValueTypeID (sequential value identifies, Such as maximum, minimum value, average value), tagQuantityUnitsID (measured value unit), TagQuantityCharacteristicID characteristic quantities (such as instantaneous, spike, virtual value) field information deposit record tables In (sequential value table) and return, used when being detected for sequential value.

The channel labels and sequence label parsing observation note that can be obtained after data source record is parsed according to parsing Record, Fig. 2 are the method flow diagram parsed to observational record.

As shown in Figure 10, electric energy quality monitoring data detection method of the invention includes channel labels detection, sequence signature One or more in detection and sequential value error detection, it is example that the order in figure, which performs relation, does not represent step Successively, the restriction whetheing there is, but can only perform it is therein one or more, detection execution sequence can also change.

Channel labels detection can be divided into the detection of channel labels missing, the unnecessary label detection of passage and the inspection of channel labels mistake Survey.

Whether channel labels missing detection mainly detection PQDIF files, which have, lacks defined in standard channel definition table Standard channel label, the relevant information of the standard channel label of missing is provided if having.

Fig. 4 is the flow chart of channel labels missing detection.It comprises the following steps:

Step 1:Read PQDIF files.

Step 2:Data source record to PQDIF files parses, and successfully resolved and data source record are not sky, then turn Enter step 3.

Step 3:The channel labels in parsing data source record are obtained, are recorded as channel definition table tableChannels.

Step 4:The standard channel definition table tblChannelStandard to prestore is obtained from database.

Explanation:The detection of PQDIF data formats is needed first to select the PQDIF standard criterions of reference, from the foregoing, it can be understood that due to The definition of IEEE P1159.3 standards is more early, has been difficult to fully meet demand of the grid company to power quality analysis, therefore often IEEE P1159.3 standard criterions can be expanded, so in order to adapt to the demand of each grid company, the reference of PQDIF detections institute Standard criterion can be selected by configuration file.The standard criterion of PQDIF detections institute reference can be stored in xml document, Each field definition information of one embodiment Plays channel definition table is as shown in Figure 3.

Step 5:TableChannels tables are traveled through, are compared with channel labels in tblChannelStandard tables, such as Channel labels in fruit tableChannels tables are present in tblChannelStandard tables, then exist The standard channel label record of comparison is removed in tblChannelStandard tables;If it does not exist, then continue to travel through, until TableChannels ends of list (EOL).

Step 6:Remaining standard channel label record is PQDIF missing documents in tblChannelStanderd tables Channel labels, generation form return to user.

Fig. 5 is the unnecessary label overhaul flow chart of passage.It comprises the following steps:

Step 1:Read PQDIF files.

Step 2:Data source record to PQDIF files parses, and successfully resolved and data source record are not sky, then turn Enter step 3.

Step 3:The channel labels after parsing data source record are obtained, are recorded as channel definition table tableChannels.

Step 4:Standard channel definition table tblChannelStandard is obtained from xml document.

Step 5:TblChannelStandard tables are traveled through, are compared with channel labels in tableChannels tables.If The channel labels of comparison meet the label of channel definition table, and the channel labels are removed from tableChannels tables;It is if last There is remaining record in tableChannels tables, then the remaining record in tableChannels tables is that the PQDIF files are unnecessary Channel labels.

Step 6:Remaining channel label generation form in tableChannels tables is returned into user.

Fig. 6 is channel errors label overhaul flow chart, the detection of channel errors label and the execution of above two detection method Step is similar.

Unlike, channel labels mistake refers to that the channel labels in PQDIF files neither completely include standard definition Channel labels defined in table also have unnecessary channel labels, and the flow of channel labels error detection detects with unnecessary channel labels Similar, difference is that two tables have residue after the completion of tableChannels tables and tableChannelStandard tables compare Record, the remaining record in tableChannels tables is particularly likely that the channel labels of mistake, now by tableChannels The remaining record in remaining record and tableChannelStandard tables in table is listed, and generation form returns to user.

In addition, for the channel labels of mistake, can be with the similar standard channel mark in standard of comparison channel definition table Label, the result as channel labels error detection return.

Sequence signature detection is primarily directed to the sequence label missing detection under passage and sequence unit error detection.Sequence Tag misses detect the standard sequence label firstly the need of the Acquisition channel from standard channel definition table, then by parsing PQDIF The data source record of file obtains the sequence label of respective channel, and the two is compared to the sequence mark for determining whether missing Label.The flow of sequence unit error detection is substantially similar with the detection of channel sequence tag misses, the difference is that sequence unit mistake Detection be judge respective channel correspond to sequence unit it is whether wrong.

Fig. 7 is sequence label missing overhaul flow chart.It comprises the following steps:

Step 1:Read PQDIF files.

Step 2:Data source record is parsed, successfully resolved and data source record are not sky, then are transferred to step 3.

Step 3:Obtain the sequence definition table record returned during parsing data source record.

Step 4:Standard sequence definition table recordStandard is obtained from xml document.

Step 5:Record tables are traveled through, is compared with recordStandard tables, judges the sequence label in record Whether not exclusively include in recordStandard.

If the sequence label in record tables is present in recordStandard tables, in recordStandard tables Remove corresponding standard sequence label;If it does not exist, then continue to travel through, until record ends of list (EOL).recordStandard Remaining standard sequence label is the sequence label lacked in record tables in table.

Step 6:Record generation form in recordStandard tables is returned into user.

Fig. 8 is sequence unit fault detection procedures figure.It comprises the following steps:

Step 1:Read PQDIF files.

Step 2:Data source record is parsed, successfully resolved and data source record are not sky, then are transferred to step 3.

Step 3:Obtain the sequence definition table record returned during parsing data source record.

Step 4:Standard sequence definition table recordStandard is obtained from xml document.

Step 5:Record tables are traveled through, is compared with recordStandard tables, judges the sequence unit in record It is whether wrong.

Step 6:Provide the exact unit of sequence under respective channel.

Step 7:Generation form returns to user.

Sequential value error detection is to do quick detection, sequential value mistake to the sample sequence in PQDIF file observational records Detect firstly the need of the sequential value average by parsing each sequence in data source record and observational record acquisition respective channel, then from The upper lower limit value of sequential value under respective channel is obtained in standard scale, the last equal value sequence of ergodic sequence value, obtains sequential value average Number not in the range of upper lower limit value, if the ratio of sample sequence exceeds standard model shared by number beyond upper lower limit value scope Enclose, then it is assumed that the sequential value mistake of the sampling, it is on the contrary then correct.

Fig. 9 is sequential value fault detection procedures figure.Comprise the following steps that:

Step 1:Read PQDIF files.

Step 2:Data source record is parsed, successfully resolved and data source record are not sky, then are transferred to step 3.

Step 3:Observational record is parsed, successfully resolved and observational record are not sky, then are transferred to step 4.

Step 4:Obtain channel number to be detected.

Step 5:Obtain the equal value sequence AvgList of sequential value of each sequence under respective channel.

Step 6:The upper and lower bound of respective channel sequential value is obtained from tableChannelStandard standard scales, Count=0, travel through AvgList.

Step 7:Judge whether there is sequential value average in AvgList not in the range of upper and lower bound, and calculate not upper Sequential value average in the range of lower limit accounts for the ratio of total sequence number in AvgList.

Step 8:Judge whether the ratio meets given requirements.

Step 9:Generation report returns to user.

Step 10:Terminate.

In order to perform function above, the present invention provides a kind of detection device of electric energy quality monitoring data, and it includes electric energy Monitoring data acquiring unit and database, and channel labels comparing unit, sequence signature comparing unit, sequential value mistake One or more of detection unit, in addition detection device also include result returning unit, the electric energy quality monitoring data obtain Unit and database is taken to be connected in channel labels comparing unit, sequence signature comparing unit, sequential value error detection units One or more, wherein,

Electric energy quality monitoring data capture unit obtains electric energy quality monitoring data from electric energy quality monitoring terminal;

Pre-stored criteria channel labels information and/or standard sequence feature in database;

Channel labels comparing unit enters the channel labels in electric energy quality monitoring data with the standard channel label to prestore Row compares;

Sequence signature comparing unit enters the sequence signature in electric energy quality monitoring data with the standard sequence feature to prestore Row compares;

Sequential value error detection units carry out sequential value error detection;

As a result returning unit backward channel label comparing unit, sequence signature comparing unit and sequential value error detection units Middle one or more comparison or testing result.

On the basis of the above, a kind of electric energy quality monitoring data detection system, including electric energy quality monitoring can also be established Terminal, electric energy quality monitoring data-detection apparatus and power quality analysis server, it is characterised in that:Electric energy quality monitoring terminal Electric energy quality monitoring data-detection apparatus is connected to, electric energy quality monitoring data-detection apparatus is connected to power quality analysis service Device, wherein, electric energy quality monitoring data-detection apparatus performs after electric energy quality monitoring terminal obtains electric energy quality monitoring data It is one or more in comparing or detect below:

A, the Acquisition channel label from electric energy quality monitoring data, and compared with the standard channel label to prestore;

B, sequence signature is obtained from electric energy quality monitoring data, and compared with the standard sequence feature to prestore;

C, sequential value error detection is carried out to electric energy quality monitoring data;

And will compare and/or testing result feeds back to power quality analysis server, meet quality of power supply on-line monitoring system Basic database is stored in after the Monitoring Data parsing that system requires, as the basic data of the advanced calculating of the quality of power supply, does not meet electricity The Monitoring Data of energy quality online monitoring system requirement feeds back to monitoring terminal, and monitoring terminal regenerates according to standard definition PQDIF files, finally realize that PQDIF standards are unified.

It should be noted that above-mentioned embodiment is only the preferable embodiment of the present invention, it is impossible to is understood as to this The limitation of invention protection domain, under the premise of without departing from present inventive concept, to any minor variations that the present invention is done and modification Belong to protection scope of the present invention.

Claims (9)

1. a kind of electric energy quality monitoring data detection method, comprises the following steps:
A, electric energy quality monitoring data are obtained from electric energy quality monitoring terminal, and performs one in step B, step C, step D It is or multinomial;
B, the Acquisition channel label from electric energy quality monitoring data, and compared with the standard channel label to prestore;
C, sequence signature is obtained from electric energy quality monitoring data, and compared with the standard sequence feature to prestore;
D, sequential value error detection is carried out to electric energy quality monitoring data;
E, comparison one or more in step B, step C and step D and/or testing result are fed back into power quality analysis clothes Business device, basic database is stored in after meeting the Monitoring Data parsing of Electric Power Quality On-line Monitor System requirement, as the quality of power supply The basic data of advanced calculating, the Monitoring Data for not meeting Electric Power Quality On-line Monitor System requirement feed back to monitoring terminal, supervised Survey terminal and PQDIF files are regenerated according to standard definition, finally realize that PQDIF standards are unified;
The step B includes:
B1, the Acquisition channel label from electric energy quality monitoring data, and perform one or more in step B2 to B4;
B2, the detection acquisition channel labels in whether lack the standard channel label to prestore;
Whether B3, the channel labels of the detection acquisition have than the more unnecessary channel labels of standard channel label;
Whether B4, the channel labels of the detection acquisition have vicious channel labels;
Correspondingly, testing result one or more in return to step B2 to B4 in step E;
The electric energy quality monitoring data are power quality data DIF PQDIF files, in step B and step C " from electricity Can be obtained in monitoring data " refer respectively to obtain from the data source record of power quality data DIF PQDIF files Channel labels and sequence signature are taken, " is obtained in step D from electric energy quality monitoring data " and refers to exchange from power quality data Sequential value is obtained in the observational record of form PQDIF files.
2. the electric energy quality monitoring data detection method described in claim 1, it is characterised in that the step B2 includes:Obtain Take channel labels;
B21, the channel labels of acquisition are recorded as channel definition table;
B22, traversal channel definition table, are contrasted with the standard channel definition table of record standard channel labels, if channel definition table The channel labels of middle record are present in standard channel definition table, then delete the channel labels in standard channel definition table;
B23, using remaining channel labels in standard channel definition table as whether lacking the detection of the standard channel label to prestore As a result.
3. the electric energy quality monitoring data detection method described in claim 1, it is characterised in that the step B3 includes:
B31, the channel labels of acquisition are recorded as channel definition table;
B32, traversal record standard channel label standard channel definition table, contrasted with channel definition table, if standard channel is determined The standard channel label recorded in adopted table is present in channel definition table, then deletes the channel labels in channel definition table;
B33, using remaining channel labels in channel definition table as whether including the testing results of unnecessary channel labels.
4. the electric energy quality monitoring data detection method described in claim 1, it is characterised in that the step B4 includes:
B41, the channel labels of acquisition are recorded as channel definition table;
B42, traversal record standard channel label standard channel definition table, contrasted with channel definition table, if standard channel is determined The standard channel label recorded in adopted table is present in channel definition table, then delete channel definition table in and standard channel definition table The channel labels;
B43, using remaining result detects as error channel label in channel definition table and standard channel definition table result.
5. the electric energy quality monitoring data detection method described in claim 1, it is characterised in that the step C includes:
C1, the sequence signature include sequence label and/or sequence unit, and sequence label is obtained from electric energy quality monitoring data And/or sequence unit, and correspondingly perform one or more in step C2, C3;
C2, the detection acquisition sequence label in whether lack the standard sequence label to prestore;
Whether C3, the sequence unit of the detection acquisition are wrong sequence unit;
Correspondingly, in step E return to step C2 and/or C3 testing result.
6. the electric energy quality monitoring data detection method described in claim 5, it is characterised in that the step C2 includes:
C21, the sequence label of acquisition is recorded as sequence definition table;
C22, ergodic sequence define table, are contrasted with the standard sequence definition table of record standard sequence label, if sequence definition table The sequence label of middle record is present in standard sequence definition table, then deletes the sequence label in standard sequence definition table;
C23, using remaining sequence label in standard sequence definition table as whether lacking the detection of the standard sequence label to prestore As a result.
7. the electric energy quality monitoring data detection method described in claim 1, it is characterised in that the step D includes:
D1, the sequential value average for obtaining each sequence in each passage in electric energy quality monitoring data;
D2, the sequential value average of acquisition and the bound of standard sequence value to prestore contrasted, sequence of calculation value average is beyond upper The number of lower limit;
D3, whether judge beyond the sequential value average number of upper lower limit value ratio shared in total sequence number beyond standard Scope;
D4, using it is described comparison and/or judged result as sequential value error detection result.
8. a kind of detection device of electric energy quality monitoring data, including electric energy quality monitoring data capture unit and database, with And one or more of channel labels comparing unit, sequence signature comparing unit, sequential value error detection units, detect in addition Equipment also includes result returning unit, and the electric energy quality monitoring data capture unit and database are connected to channel labels and compared One or more of unit, sequence signature comparing unit, sequential value error detection units, wherein,
Electric energy quality monitoring data capture unit obtains electric energy quality monitoring data from electric energy quality monitoring terminal;
One or more in database in the bound of pre-stored criteria channel labels information, standard sequence feature and standard sequence value ;
Channel labels comparing unit according to the step B described in claim 1 by the channel labels in electric energy quality monitoring data with The standard channel label to prestore is compared;
Sequence signature comparing unit according to the step C described in claim 5 by the sequence signature in electric energy quality monitoring data with The standard sequence feature to prestore is compared;
Sequential value error detection units carry out sequential value error detection according to the step D described in claim 7;
As a result one in returning unit backward channel label comparing unit, sequence signature comparing unit and sequential value error detection units Individual or multiple comparison or testing result.
9. a kind of electric energy quality monitoring data detection system, including electric energy quality monitoring terminal, electric energy as claimed in claim 8 Monitoring data detection device and power quality analysis server, it is characterised in that:Electric energy quality monitoring terminal is connected to Electric energy quality monitoring data-detection apparatus, electric energy quality monitoring data-detection apparatus are connected to power quality analysis server, its In, electric energy quality monitoring data-detection apparatus is after electric energy quality monitoring terminal obtains electric energy quality monitoring data, according to right It it is required that the step described in 1 is detected, and will compare and/or testing result feeds back to power quality analysis server, meet electricity Basic database can be stored in after the Monitoring Data parsing of quality online monitoring system requirement, the base as the advanced calculating of the quality of power supply Plinth data, the Monitoring Data for not meeting Electric Power Quality On-line Monitor System requirement feed back to monitoring terminal, and monitoring terminal is according to mark Certainly justice regenerates PQDIF files, finally realizes that PQDIF standards are unified.
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