Demonstration: Web-based visualisation and

monitoring of smart meters using CQELS

7th International Workshop on Semantic Sensor Networks 2014 @ ISWC 2014, Italy

Maxim Kolchin, Dmitry Mouromtsev, Sergey ArustamovLaboratory ISST @ ITMO University, St.Petersburg, Russia

Ленполиграфмаш (LPM)

❏ a small energy reseller in St. Petersburg

with monthly consumption about ~ 500 MW

❏ 70 smart electric meters

❏ 4 electrical substations

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Grid network overview

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LPM wants to...

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❏ reduce electricity losses❏ identify misconfigurations of smart meters and

network earlier❏ monitor smart meter readings in real-time

Stream sources

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❏ Custom JSON model❏ Not integrated with background knowledge❏ Identifiers not globally unique

Static data

Currently at: http://lpmanalytics.tk/sparql

❏ graph: http://192.168.134.114/SmartMetersDB/

All smart meters:

Example URI: http://purl.org/daafse/meters/mercury230_13534128

PREFIX em: <http://purl.org/NET/ssnext/electricmeters#> .

SELECT * { ?meter a em:ElectricMeter . }

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Streaming data

Published via a message bus (RabbitMQ) that implements AMQP protocol:

❏ a continuous stream of RDF triples in Turtle format❏ amqp://lpmstreams.tk:15674

Stream URI:

❏ amqp://lpmstreams.tk:15674?exchangeName=meter_exchange&routingKey=meter.location.mercury230_13534128

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Ontologies

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Architecture

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UI: Visualisation in real-time

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UI: Alerts

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Example #1: Too high voltage value

Notify when the voltage value on one of the phases on one of smart meters are higher than 220V + 5% = 231V

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Example #1: Too high voltage valueCONSTRUCT {

?alert a <http://purl.org/daafse/alerts#TooHighVoltageValue> ; dul:hasEventDate ?time ; dul:involvesAgent ?meter .

} FROM NAMED <http://lpmanalytics.tk/sparql-graph-crud> WHERE {

GRAPH <http://192.168.134.114/SmartMetersDB/> {

?meter em:hasStream ?stream; em:complyWith ?requirement .

?requirement em:maxVoltageValue ?maxvvalue .}

STREAM ?stream [NOW] {

?observation a em:PolyphaseVoltageObservation ; ssn:observationResultTime ?time ; ssn:observationResult ?output .

?output a em:PolyphaseVoltageSensorOutput ; ssn:isProducedBy ?meter ; ssn:hasValue ?value .

?value em:hasQuantityValue ?qvalue .

}

FILTER(?qvalue > ?maxvvalue)

BIND(IRI(CONCAT(STR(?meter), '/alerts/', STR(?time))) AS ?alert)

}12

Example #2: Power values is below zero

Notify when the power value on one of the phases is below zero

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Example #2: Power values is below zeroCONSTRUCT {

?alert a <http://purl.org/daafse/alerts#PowerValueBelowZero>; dul:hasEventDate ?time; dul:involvesAgent ?meter .

} FROM NAMED <http://lpmanalytics.tk/sparql-graph-crud> WHERE {

GRAPH <http://192.168.134.114/SmartMetersDB/> {

?meter em:hasStream ?stream; em:complyWith ?requirement .

?requirement em:minPowerValue ?minpvalue .

}

STREAM ?stream [NOW] {

?observation a em:PolyphaseVoltageObservation; ssn:observationResultTime ?time; ssn:observationResult ?output .

?output ssn:isProducedBy ?meter; ssn:hasValue ?value . ?value em:hasQuantityValue ?qvalue .

}

FILTER(?qvalue < ?minPowerValue)

BIND(IRI(CONCAT(STR(?meter), '/alerts/', STR(?time))) AS ?alert)

}14

Example #3: Different voltages

Voltage values measured by the meters at the same substation should be “almost the same”, e.g. ± 3%.

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Unfortunately, it’s not possible to do with CQELS now.

Conclusions

❏ Web app that monitors and visualizes smart meter readings❏ Extensions for CQELS engine: BIND and remote SPARQL endpoint❏ RDF streams published via RabbitMQ

Future work:

❏ Implement missing aggregation functions in CQELS❏ Use one of binary RDF representations for the streams

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The app is a very simple but practical example of applying RSP in Smart Grid domain

Thank you!

Source code:❏ The web app: http://github.com/ailabitmo/DAAFSE❏ CQELS with extensions: http://github.com/KMax/cqels

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