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webs tore i ec ch /cs c Si vous désirez nous donner des commentaires sur cette publication ou si vous avez des questions contactez-nous: csc@iec.ch I E C 62 541 -1 ® Edition 201 5-03 I N TE RN ATI ON AL S TAN D ARD N ORM E I N TE RN ATI ON ALE colour in sid e OP C u n i fi ed arch i tectu re – Part 3: Ag g reg ates Arch i tectu re u n i fi ée OP C – P arti e 3: Ag rég ats INTERNATIONAL ELECTROTECHNICAL COMMISSION COMMISSION ELECTROTECHNIQUE INTERNATIONALE ICS 25.040.40; 35.1 00 ISBN 978-2-8322-2365-9 Warn i n g ! M ake s u re th at you ob tai n ed th i s pu bl i cati on from an au th ori zed d i s tri bu tor Atten ti on ! Veu i l l ez vou s as s u rer q u e vou s avez o bten u cette pu bl i cati on vi a u n d i s tri b u teu r ag réé ® Registered trademark of the International Electrotechnical Commission –2– I EC 62541 -1 3: 201 I EC 201 CONTENTS FOREWORD Scope Normative references Terms, definitions, and abbreviations Terms and definitions Abbreviations Aggregate Information Model General Aggregate Objects 2.1 General 2.2 AggregateFunction Object MonitoredI tem AggregateFilter 3.1 MonitoredI tem AggregateFilter Defaults 3.2 MonitoredI tem Aggregates and Bounding Values 4 Exposing Supported Functions and Capabilities Aggregate specific usage of Services General Aggregate data handling 2.1 Overview 2.2 ReadProcessedDetails structure overview 2.3 AggregateFilter structure overview Aggregates StatusCodes 3.1 Overview 3.2 Operation level result codes 3.3 Aggregate I nformation Bits Aggregate details 20 4.1 General 20 4.2 Common characteristics 21 4.3 Specific Aggregated data handling 24 Annex A (informative) Aggregate specific examples – H istorical access 56 A H istorical Aggregate specific characteristics 56 A 1 Example Aggregate data – H istorian 56 A Example Aggregate data – H istorian 57 A Example Aggregate data – H istorian 58 A Example Aggregate data – H istorian 59 A I nterpolative 60 A 2.1 Description 60 A 2.2 I nterpolative data 60 A Average 61 A 3.1 Description 61 A 3.2 Average data 62 A TimeAverage 63 A 4.1 Description 63 A 4.2 TimeAverage data 63 A TimeAverage2 64 A 5.1 Description 64 I EC 62541 -1 3: 201 I EC 201 –3– TimeAverage2 data 64 A 5.2 A Total 65 A 6.1 Description 65 A 6.2 Total data 66 A Total2 67 A 7.1 Description 67 A 7.2 Total2 data 67 A Minimum 68 A 8.1 Description 68 A 8.2 Minimum data 68 A Maximum 69 A 9.1 Description 69 A 9.2 Maximum data 69 A MininumActualTime 69 A 1 Description 69 A MinimumActualTime data 69 A 1 MaximumActualTime 70 A 1 Description 70 A 1 MaximumActualTime data 70 A Range 71 A Description 71 A 2 Range data 71 A Minimum2 71 A Description 71 A Minimum2 data 71 A Maximum2 72 A Description 72 A Maximum2 data 72 A MinimumActualTime2 73 A Description 73 A MinimumActualTime2 data 73 A MaximumActualTime2 73 A Description 73 A MaximumActualTime2 data 73 A Range2 74 A Description 74 A Range2 data 74 A AnnotationCount 75 A Description 75 A AnnotationCount data 75 A Count 75 A Description 75 A Count data 75 A 20 DurationI nStateZero 76 A 20 Description 76 A 20 DurationI nStateZero data 76 A 21 DurationI nStateNonZero 76 A 21 Description 76 A 21 DurationI nStateNonZero data 76 –4– I EC 62541 -1 3: 201 I EC 201 A 22 NumberOfTransitions 76 A 22 Description 76 A 22 NumberOfTransitions data 77 A 23 Start 77 A 23 Description 77 A 23 Start data 78 A 24 End 78 A 24 Description 78 A 24 End data 78 A 25 StartBound 79 A 25 Description 79 A 25 StartBound data 79 A 26 EndBound 79 A 26 Description 79 A 26 EndBound data 80 A 27 Delta 80 A 27 Description 80 A 27 Delta data 80 A 28 DeltaBounds 81 A 28 Description 81 A 28 DeltaBounds data 81 A 29 DurationGood 81 A 29 Description 81 A 29 DurationGood data 82 A 30 DurationBad 82 A 30 Description 82 A 30 DurationBad data 82 A 31 PercentGood 83 A 31 Description 83 A 31 PercentGood data 83 A 32 PercentBad 84 A 32 Description 84 A 32 PercentBad data 84 A 33 WorstQuality 85 A 33 Description 85 A 33 WorstQuality data 85 A 34 WorstQuality2 86 A 34 Description 86 A 34 WorstQuality2 data 86 A 35 StandardDeviationSample 87 A 35 Description 87 A 35 StandardDeviationSample data 87 A 36 VarianceSample 87 A 36 Description 87 A 36 VarianceSample data 87 A 37 StandardDeviationPopulation 88 A 37 Description 88 A 37 StandardDeviationPopulation data 88 A 38 VariancePopulation 88 I EC 62541 -1 3: 201 I EC 201 –5– Description 88 A 38 A 38 VariancePopulation data 89 Bibliography 90 Figure – Representation of Aggregate Configuration information in the AddressSpace Figure – Variable with Stepped = False and Simple Bounding Values 25 Figure – Variable with Stepped = True and Interpolated Bounding Values 26 Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table – Interpolation examples – AggregateConfigurationType Definition 3 – Aggregate Functions Definition 4 – AggregateFunctionType Definition – Standard AggregateType Nodes – ReadProcessedDetails – AggregateFilter structure 8 – Bad operation level result codes 9 – Uncertain operation level result codes – Data location 1 – Additional information 20 – H istory Aggregate interval information 22 – Standard History Aggregate Data Type information 23 – Aggregate table description 28 – Interpolative Aggregate summary 29 – Average Aggregate summary 30 – TimeAverage Aggregate summary 31 – TimeAverage2 Aggregate summary 32 – Total Aggregate summary 32 20 – Total2 Aggregate summary 33 21 – Minimum Aggregate summary 34 22 – Maximum Aggregate summary 35 23 – MinimumActualTime Aggregate summary 36 24 – MaximumActualTime Aggregate summary 37 25 – Range Aggregate summary 37 26 – Minimum2 Aggregate summary 38 27 – Maximum2 Aggregate summary 39 28 – MinimumActualTime2 Aggregate summary 40 29 – MaximumActualTime2 Aggregate summary 41 30 – Range2 Aggregate summary 41 31 – AnnotationCount Aggregate summary 42 32 – Count Aggregate summary 42 33 – DurationI nStateZero Aggregate summary 43 34 – DurationI nStateNonZero Aggregate Summary 44 35 – NumberOfTransitions Aggregate summary 44 –6– Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 I EC 62541 -1 3: 201 I EC 201 – Start Aggregate summary 45 – End Aggregate summary 45 – Delta Aggregate summary 46 – StartBound Aggregate summary 46 – EndBound Aggregate summary 47 – DeltaBounds Aggregate summary 48 – DurationGood Aggregate summary 48 – DurationBad Aggregate summary 49 – PercentGood Aggregate summary 50 – PercentBad Aggregate summary 51 – WorstQuality Aggregate summary 51 – WorstQuality2 Aggregate summary 52 – StandardDeviationSample Aggregate summary 53 – VarianceSample Aggregate summary 53 – StandardDeviationPopulation Aggregate summary 54 – VariancePopulation Aggregate summary 55 I EC 62541 -1 3: 201 I EC 201 –7– I NTERNATIONAL ELECTROTECHNI CAL COMMI SSI ON O P C U N I F I E D ARC H I T E C T U RE – P a rt : Ag g re g a t e s FOREWORD ) The I ntern ati onal El ectrotechnical Commi ssi on (I EC) is a worl d wi d e organizati on for stan dard izati on comprisi ng all nati onal electrotech nical committees (I EC N ational Comm ittees) Th e object of I EC i s to promote i nternati on al co-operati on on al l q u esti ons cernin g standard izati on i n the el ectrical and el ectroni c fi el ds To this end an d in ad di ti on to other acti vi ti es, I EC pu blish es I nternati onal Stan d ards, Technical Speci fi cati ons, Technical Reports, Pu blicl y Availabl e Specificati ons (PAS) an d Gu id es (hereafter referred to as “I EC Pu blicati on(s)”) Their preparati on is entru sted to tech nical committees; any I EC N ati onal Committee i nterested i n the subject d eal t wi th may parti ci pate i n thi s preparatory work I nternati onal , governmental and n ongovernm ental organizations l iaisi ng wi th the I EC al so participate i n this preparati on I EC coll aborates cl osel y wi th th e I n ternational Organizati on for Stand ard izati on (I SO) i n accordan ce wi th cond i ti ons d etermined by agreement between th e two org anizati ons 2) Th e form al d ecision s or ag reements of I EC on technical m atters express, as nearly as possibl e, an i nternati on al consensus of opi ni on on the rel evan t su bjects si nce each technical committee has representati on from all i nterested I EC N ati onal Commi ttees 3) I EC Pu blications have th e form of recommend ati ons for internati onal u se and are accepted by I EC N ati onal Comm ittees i n th at sense While all reasonabl e efforts are mad e to ensu re that the technical content of I EC Pu blicati ons is accu rate, I EC cann ot be hel d responsi bl e for the way in wh i ch they are used or for an y misin terpretati on by any end u ser 4) I n ord er to promote i nternational u ni formi ty, I EC N ati onal Commi ttees u nd ertake to appl y I EC Publicati on s transparen tl y to the maximum extent possibl e i n thei r nati onal and regi on al pu blicati ons Any d i vergence between an y I EC Pu bl icati on and the correspond i ng national or regional publication sh al l be cl earl y i ndi cated in the l atter 5) I EC i tsel f d oes not provi d e any attestation of conform ity I nd epend ent certi ficati on bodies provi d e conformity assessment services an d , in some areas, access to I EC marks of conformi ty I EC i s not responsi bl e for an y services carried ou t by i nd epend en t certi fication bodi es 6) All users sh ould ensu re that they h ave the l atest edi ti on of this pu blicati on 7) N o li abili ty shal l attach to I EC or i ts di rectors, empl oyees, servants or ag ents incl u d in g i nd ivi du al experts and members of i ts tech ni cal commi ttees and I EC N ati onal Com mittees for any personal i nju ry, property d amag e or other d am age of any natu re whatsoever, wheth er d i rect or i nd irect, or for costs (i nclu d i ng l egal fees) and expenses arising ou t of th e pu bli cati on , use of, or rel iance u pon, thi s I EC Pu bl ication or any oth er I EC Pu blicati ons 8) Attention is d rawn to the N ormative references ci ted in this pu bl icati on U se of the referenced pu blicati ons is i ndi spensabl e for th e correct applicati on of this publicati on 9) Attention is d rawn to the possibili ty that som e of th e el em ents of thi s I EC Pu bl icati on may be th e su bj ect of patent ri ghts I EC shal l not be held responsi bl e for i d en ti fyi ng any or all such patent ri ghts I nternational Standard IEC 62541 -1 has been prepared by subcommittee 65E: Devices and integration in enterprise systems, of I EC technical committee 65: I ndustrial-process measurement, control and automation The text of this standard is based on the following documents: CDV Report on voti ng 65E/379/CDV 65E/41 /RVC Full information on the voting for the approval of this standard can be found in the report on voting indicated in the above table This publication has been drafted in accordance with the ISO/I EC Directives, Part –8– I EC 62541 -1 3: 201 A list of all parts of the I EC 62541 series, published under the general title Architecture , can be found on the I EC website I EC 201 OPC Unified The committee has decided that the contents of this publication will remain unchanged until the stability date indicated on the I EC web site under "http: //webstore iec.ch" in the data related to the specific publication At this date, the publication will be • • • • reconfirmed, withdrawn, replaced by a revised edition, or amended I M P O R T AN T th at it – Th e c o n ta i n s u n d e rs t a n d i n g c o l o u r p ri n t e r of ' col ou r i n s i d e' c o l o u rs i ts wh i ch te n ts l og o a re U s e rs on th e c o ve r p a g e c o n s i d e re d sh ou l d to t h e re fo re of th i s be p ri n t pu b l i cati on u s e fu l th i s fo r i n d i ca te s th e d ocu m en t c o rre c t using a – 68 – H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 A 20 Val eu r 2 Val eu r 2 H i s tori an Statu sC od e G ood , Cal cu l ated , Parti al G ood , Cal cu l ated Bad G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData H i s tori an Statu s Code G ood , Cal cu l ated , Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData I EC 62541 -1 3: 201 I EC 201 N otes N otes Du ration InStateZero A.20.1 Descripti on Les exemples su ivants il l ustren t d es scénarii d ' Agrégat DurationI nStateZero L' Agrégat s'appl iq ue un iquemen t l'H istorique ProcessingInterval: 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 A.20.2 Donn ées Du rati on In StateZero H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 A 21 3000 2000 3000 4000 H i s tori an Statu sCod e U n certai n DataSu bN orm al , Good , Cal cu l ated U n certai n DataSu bN orm al , Good , Cal cu l ated U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , Bad N oData Cal cu l ated , Parti al N otes Cal cu l ated Cal cu l ated Cal cu l ated , Parti al Du ration InStateN on Zero A.21 Les Val eu r Descripti on exemples suivan ts illustren t d es scénarii d' Agrégat Duration I n StateN onZero 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 ProcessingInterval: A.21 Donn ées Du rati on In StateN onZero H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r 4000 3000 0000 4000 3001 H i s tori an Statu sCod e U n certai n DataSu bN orm al , Good , Cal cu l ated U n certai n DataSu bN orm al , Good , Cal cu l ated U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , Bad N oData Cal cu l ated , Parti al Cal cu l ated Cal cu l ated Cal cu l ated , Parti al N otes I EC 62541 -1 3: 201 I EC 201 – 69 – A.22 NumberOfTransitions A.22.1 Les Description exemples su ivan ts illustren t d es scénarii d ' A grégat N u mberOfTransitions 00: 00: 05, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 ProcessingInterval: A.22.2 Données NumberOfTransitions H orodatage : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orodatage : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orodatage : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orodatage : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r 2 1 Val eu r 2 Val eur 2 Val eu r H i stori an1 StatusCode N otes H i stori an2 StatusCode N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated Bad G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData H i stori an3 Statu sCode N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated Bad G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData H i stori an4 StatusCode N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData A.23 Start A.23.1 Description Les exemples suivan ts illustren t d es scénarii d' A grégat Start 2: 00: 00, EndTime : 2: 01 : 40 StartTime : A.23.2 ProcessingInterval: Données Start H orodatage : 00: 000 : 00: 20 000 : 00: 40 000 : 00: 50 000 : 01 : 000 : 01 : 20 000 : 01 : 36 000 Val eu r 10 20 50 70 80 Statu sCode G ood , Parti al G ood Bad G ood U n certai n G ood , Parti al Bad N oData H i stori an1 N otes 00: 00: 6, – 70 – H orod atag e : 00: 02 000 : 00: 25 000 : 00: 39 000 : 00: 48 000 : 01 : 000 : 01 : 23 000 : 01 : 36 000 H orod atag e : 00: 02 000 : 00: 25 000 : 00: 39 000 : 00: 48 000 : 01 : 000 : 01 : 23 000 : 01 : 36 000 Val eu r 10 20 30 40 60 70 Val eu r 10 20 30 40 60 70 S tatu sCod e H i s tori an G ood , Parti al G ood G ood G ood G ood G ood , Parti al Bad N oData S tatu sCod e H i s tori an G ood , Parti al G ood G ood G ood G ood G ood , Parti al Bad N oData I EC 62541 -1 3: 201 I EC 201 N otes N otes A 24 En d A.24.1 Descripti on Les exemples su ivan ts il lustren t des scén arii d' A grégat End 2: 00: 00, EndTime : 2: 01 : 40 StartTime : A.24.2 ProcessingInterval: 00: 00: 6, Donn ées En d H orod atag e : 00: 000 : 00: 30 000 : 00: 40 000 : 01 : 00 000 : 01 : 000 : 01 : 30 000 : 01 : 36 000 H orod atag e : 00: 02 000 : 00: 28 000 : 00: 42 000 : 00: 52 000 : 01 : 000 : 01 : 30 000 : 01 : 36 000 H orod atag e : 00: 02 000 : 00: 28 000 : 00: 42 000 : 00: 52 000 : 01 : 000 : 01 : 30 000 : 01 : 36 000 Val eu r 10 30 60 70 90 Val eu r 10 25 50 70 90 Val eu r 10 25 50 70 90 S tatu sCod e H i s tori an G ood , Parti al G ood Bad G ood U n certai n G ood , Parti al Bad N oData S tatu sCod e H i s tori an G ood , Parti al G ood Bad G ood U n certai n G ood , Parti al Bad N oData S tatu sCod e G ood , Parti al G ood Bad G ood U n certai n G ood , Parti al Bad N oData H i s tori an N otes N otes N otes A 25 StartBou nd A.25.1 Descripti on Les exemples su ivan ts il l ustren t d es scén arii d ' Agrégat StartBoun d 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 ProcessingInterval: I EC 62541 -1 3: 201 A 25 I EC 201 – 71 – Don n ées StartBou n d H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r 16 30 64 80 Val eu r 087 26 81 40 56 Val eu r 10 25 40 50 H i s tori an Statu s Code Bad N oData, Parti al G ood , I n terpol ated U n certai n DataSu bN orm al , I n terpol ated Bad N oData U n certai n DataSu bN orm al , I n terpol ated G ood , Parti al Bad N oData N otes H i s tori an Statu sC od e N otes H i s tori an Statu sC od e N otes Bad N oData, Parti al G ood , I n terpol ated G ood , I n terpol ated G ood G ood , I n terpol ated Bad N oData, Parti al Bad N oData Bad N oData, Parti al G ood , I n terpol ated G ood , I n terpol ated G ood G ood , I n terpol ated Bad N oData, Parti al Bad N oData A 26 En dBou n d A.26.1 Descripti on Les exemples su ivan ts il lustren t des scén arii d' A grégat End 2: 00: 00, EndTime : 2: 01 : 40 StartTime : A.26.2 ProcessingInterval: Donn ées En dBou n d H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r 16 30 64 80 Val eu r 087 26 81 40 56 H i s tori an Statu s Code G ood , Cal cu l ated , Parti al U n certai n DataSu bN orm al , Cal cu l ated Bad N oData U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated Bad N oData, Parti al Bad N oData H i s tori an Statu sC od e G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated Bad N oData Bad N oData, Parti al Bad N oData N otes N otes 00: 00: 6, – 72 – H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 A 27 A.27.1 Val eu r 10 25 40 50 H i s tori an Statu sC od e Del ta Descripti on Les exemples su ivan ts il lustren t d es scén arii d ' A grégat Del ta 2: 00: 00, EndTime : 2: 01 : 40 : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 A.28.1 ProcessingInterval: 00: 00: 6, Donn ées Delta H orod atag e A 28 I EC 201 N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated Bad N oData Bad N oData, Parti al Bad N oData StartTime : A.27.2 I EC 62541 -1 3: 201 Val eu r 10 10 10 Val eu r 10 20 Val eu r 10 20 H i s tori an Statu s Code N otes H i s tori an Statu s Code N otes H i s tori an Statu s Code N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated Bad N oData G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData Del taBou nds Descripti on Les exemples su ivants ill ustren t des scén arii d ' Agrégat Del taBoun d s 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 ProcessingInterval: I EC 62541 -1 3: 201 A 28 2 : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 A.29.1 – 73 – Don n ées Del taBou n ds H orod atag e A 29 I EC 201 Val eu r 14 16 Val eu r 731 82 16 Val eu r 15 15 10 H i s tori an Statu s Code N otes H i s tori an Statu sCode N otes H i s tori an Statu sCode N otes Bad N oData, Parti al U n certai n DataSu bN orm al , Cal cu l ated Bad N oData Bad N oData U n certai n DataSu bN orm al , Cal cu l ated Bad N oData, Parti al Bad N oData Bad N oData, Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated Bad N oData Bad N oData, Parti al Bad N oData Bad N oData, Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated Bad N oData Bad N oData, Parti al Bad N oData Du ration Good Descripti on Les exemples su ivants illustren t d es scén arii d ' A grégat Du rationGood Les val eurs d e d urée son t exprimées en millisecon d es ProcessingInterval: 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 A.29.2 Donn ées Du rati on Good H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r 6000 6000 4000 0001 Val eu r 4000 6000 0000 6000 3000 7001 H i s tori an Statu sCode N otes H i s tori an Statu sCode N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData – 74 – H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 A 30 A.30.1 Val eu r 4000 6000 0000 6000 3000 7001 Val eu r 4000 6000 0000 6000 3000 7001 I EC 62541 -1 3: 201 H i s tori an Statu sCode N otes H i s tori an Statu sCode N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData Du ration Bad Descripti on Les exemples suivan ts il lustren t des scénarii d ' A grégat Du ration Bad 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 A.30.2 I EC 201 ProcessingInterval: Donn ées Du rati on Bad H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r 0000 8000 2000 0 Val eu r 2000 6000 3000 3000 Val eu r 2000 6000 3000 3000 Val eu r 2000 6000 3000 3000 H i s tori an Statu s Code N otes H i s tori an Statu s Code N otes H i s tori an Statu s Cod e N otes H i s tori an Statu s Code N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData I EC 62541 -1 3: 201 A 31 A.31 I EC 201 – 75 – Percen tGood Descripti on Les exemples suivan ts il lustren t d es scénarii d ' Agrégat Percen tGood Processi ng In terval : 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 A.31 Donn ées PercentGood H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 A 32 A.32.1 Val eu r 37 500 00 87 500 00 Val eu r 87 500 00 62 500 00 81 250 70 003 Val eu r 87 500 00 62 500 00 81 250 70 003 Val eu r 87 500 00 62 500 00 81 250 70 003 H i s tori an Statu sCode N otes H i s tori an Statu sCode N otes H i s tori an Statu sCode N otes H i s tori an Statu sCode N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData Percen tBad Descripti on Les exemples su ivan ts illustrent des scénarii d ' Agrégat Percen tBad 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 A.32.2 ProcessingInterval: Donn ées PercentBad H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r 62 500 50 500 0 H i s tori an Statu s Code G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData N otes – 76 – H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r 500 37 500 750 29 997 Val eu r 500 37 500 750 29 997 Val eu r 500 37 500 750 29 997 I EC 62541 -1 3: 201 H i s tori an Statu s Code N otes H i s tori an Statu s Code N otes H i s tori an Statu s Code N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData I EC 201 A 33 WorstQu ali ty A.33.1 Descripti on Les exemples su ivants illustrent d es scénarii d ' A grégat WorstQual ity 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 A.33.2 ProcessingInterval: Donn ées WorstQu al ity H orod atag e Val eu r : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 G ood G ood Bad G ood U n certai n G ood H orod atag e Val eu r : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 G ood G ood Bad G ood U n certai n G ood H orod atag e Val eu r : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 G ood G ood Bad G ood U n certai n G ood H i s tori an Statu sCod e N otes H i s tori an Statu sCod e N otes H i s tori an Statu sCod e N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al B ad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al B ad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al B ad N oData I EC 62541 -1 3: 201 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 I EC 201 – 77 – H i s tori an Statu sCod e Val eu r G ood G ood Bad G ood U n certai n G ood N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al B ad N oData A 34 WorstQu ali ty2 A.34.1 Descripti on Les exemples su ivan ts il lustren t d es scénarii d ' A grégat WorstQuality2 00: 00: 6, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 A.34.2 ProcessingInterval: Donn ées WorstQu al i ty2 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 H orod atag e : 00: 00 000 : 00: 000 : 00: 32 000 : 00: 48 000 : 01 : 04 000 : 01 : 20 000 : 01 : 36 000 Val eu r Bad N oData U n certai n DataSu bN orm al Bad Bad N oData U n certai n DataSu bN orm al Bad N oData Val eu r Bad N oData Good Bad Good Bad N oData Bad N oData Val eu r Bad N oData Good Bad Good Bad N oData Bad N oData Val eu r Bad N oData Good Bad Good Bad N oData Bad N oData H i s tori an Statu sC od e Good , Cal cu l ated , Good , Cal cu l ated Good , Cal cu l ated , Good , Cal cu l ated Good , Cal cu l ated , Good , Cal cu l ated , Bad N oData Parti al N otes M u l ti pl eVal u es M u l ti pl eVal u es Parti al H i s tori an Statu sC od e N otes H i s tori an Statu sC od e N otes H i s tori an Statu sC od e N otes G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al , M u l ti pl eVal u es Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al , M u l ti pl eVal u es Bad N oData G ood , Cal cu l ated , Parti al G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al , M u l ti pl eVal u es Bad N oData A 35 Stan dardDeviati on Sam pl e A.35.1 Les Descripti on exempl es suivan ts ill ustren t d es scén arii d ' A grégat Standard DeviationSample 00: 00: 20, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 ProcessingInterval: – 78 – A 35 I EC 62541 -1 3: 201 I EC 201 Don n ées Stand ardDevi ati on Sam pl e H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 Val eu r 0 Val eu r 250 0 25 Val eu r 250 0 25 H i s tori an Statu sCode N otes Bad N oData, Parti al G ood , Cal cu l ated Bad N oData G ood , Cal cu l ated G ood , Cal cu l ated , Parti al H i s tori an Statu s Code N otes H i s tori an Statu s Code N otes Bad N oData, Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData, Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al A 36 Vari an ceSampl e A.36.1 Descripti on Les exempl es suivan ts illustren t d es scénarii d ' Agrégat VarianceSample 00: 00: 20, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 A.36.2 Donn ées Vari an ceSam pl e H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 A 37 A.37.1 ProcessingInterval: Val eu r 667 0 667 Val eu r 72 667 50 Val eu r 43 750 50 667 50 H i s tori an Statu sCod e N otes H i s tori an Statu sCod e N otes U n certai n DataSu bN orm al , Cal cu l ated , Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated , Parti al U n certai n DataSu bN orm al , G ood , Cal cu l ated U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , Cal cu l ated , Parti al Cal cu l ated Cal cu l ated Cal cu l ated , Parti al H i s tori an Statu sCod e U n certai n DataSu bN orm al , G ood , Cal cu l ated U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , Cal cu l ated , Parti al N otes Cal cu l ated Cal cu l ated Cal cu l ated , Parti al Stan dardDeviati on Popu l ati on Descripti on Les exemples su ivan ts illustrent d es scénarii d ' A grégat Stan d ardDeviationPopu lation 00: 00: 20, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 ProcessingInterval: I EC 62541 -1 3: 201 A 37 2 : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 A.38.1 Les – 79 – Don n ées Stand ardDevi ati on Popu lati on H orod atag e A 38 I EC 201 Val eu r 0 Val eu r 500 0 Val eu r 500 0 H i s tori an Statu s Code N otes H i s tori an Statu s Code N otes H i s tori an Statu s Code N otes Bad N oData, Parti al G ood , Cal cu l ated Bad N oData G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData, Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Bad N oData, Parti al G ood , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated G ood , Cal cu l ated G ood , Cal cu l ated , Parti al Vari an cePopu l ati on Descripti on exemples su ivan ts il lustren t d es scénarii d ' A grégat VariancePopu lation 00: 00: 20, StartTime : 2: 00: 00, EndTime : 2: 01 : 40 ProcessingInterval: A.38.2 Donn ées Vari an cePopu l ati on H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 H orod atag e : 00: 00 000 : 00: 20 000 : 00: 40 000 : 01 : 00 000 : 01 : 20 000 Val eu r 083 0 083 Val eu r 4 083 450 071 Val eu r 61 071 083 071 H i s tori an Statu sCod e N otes H i s tori an Statu sCod e N otes U n certai n DataSu bN orm al , Cal cu l ated , Parti al Good , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated U n certai n DataSu bN orm al , Cal cu l ated Good , Cal cu l ated , Parti al U n certai n DataSu bN orm al , Good , Cal cu l ated U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , Cal cu l ated , Parti al Cal cu l ated Cal cu l ated Cal cu l ated , Parti al H i s tori an Statu sCod e U n certai n DataSu bN orm al , Good , Cal cu l ated U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , U n certai n DataSu bN orm al , Cal cu l ated , Parti al Cal cu l ated Cal cu l ated Cal cu l ated , Parti al N otes – 80 – I EC 62541 -1 3: 201 Bibliographie I EC 62541 -7, Architecture unifiée OPC – Partie 7: Profils I EC 62541 -9, Architecture unifiée OPC – Partie 9: Alarmes et conditions _ I EC 201 I N TE RN ATI O N AL E LE CTRO TE CH N I CAL CO M M I S S I O N 3, ru e d e Va re m bé P O B ox CH -1 1 G e n e va S wi tze rl a n d Te l : + 41 F a x: + 22 91 02 1 22 91 03 00 i n fo @i e c ch www i e c ch