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Enregistrement W2061716594 · doi:10.1109/pes.2007.386010

New visualization technology to enhance situational awareness for system operators

2007· article· en· W2061716594 sur OpenAlexaboutno aff
Clinton Moses

Notice bibliographique

RevueIEEE Power Engineering Society General Meeting · 2007
Typearticle
Langueen
DomaineEngineering
ThématiquePower Systems and Technologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSCADASituation awarenessOperator (biology)VendorVisualizationComputer scienceBlackoutSoftwareEngineeringOperating systemData miningElectric power systemElectrical engineeringBusiness

Résumé

récupéré en direct d'OpenAlex

Summary form only given. System operators have worked with mimic boards and tabular data for years. These mimic boards may or may not have dynamic characteristics such as analog values or equipment status changes. Generally, these boards showed the complete electrical system, and only a small portion of their system had remote terminal units (RTU) to bring the data into the control center. Another area that was lacking was EMS/SCADA. After the August 14, 2003 blackout, the US/Canadian investigation team realized that system operators needed a more dynamic view of not only their system, but also the ability to see into the system of their neighboring utilities. A group of utilities, together with an EMS vendor, began to discuss what the end user (system operator) needed to perform their job. It was soon discovered the EMS system was lacking in various areas. The EMS/SCADA system had some graphical data displays, but wasn't close to being the tool needed to monitor large areas of the system. The EMS vendor also realized that most of the information received on improvements was given by the EMS or SCADA employees of the utilities and not the system operators. While EMS/SCADA employees are good at maintaining and updating software when needed, it is seldom the system operator was asked for input. Information that used to be displayed in tabular form could now be displayed graphically which would aid the system operator in detecting abnormal conditions more rapidly. Also the system operator could look into the neighboring utility's system and determine if the cause of the abnormal condition could have been created by something not within their system. The overview of the electrical grid, which was displayed on a mimic board could now be fully dynamic. Another issue came to light as to how to display this information to the system operator. New display cube (stackable monitors) technology was being introduced into the marketplace and was being used in many different applications. This technology was explored to replace the mimic boards in control centers with outstanding results. Greater monitor (cube) resolutions and new DLP (digital light processing - Texas Instruments) technology to prevent monitor "burn in" and faster computer processing power would open the door to a new way of viewing massive amounts of information on a single wall board. Information could be readily changed on the electronic display wall by the system operator, allowing the display to be used for multiple functions. The system operator could use the display to view critical data and easily switch the display back to an overall view. Enhancing situational awareness of a system operator was another area that received attention from the blackout investigation committee. This involved the interface between the system operator and the various tools they used to monitor the electrical grid. Situational awareness (SA) has become a "buzz" word in the electrical industry. SA of a control room is developed by interviewing system operators and performing a cognitive task analysis on the information required by the operators. This ensures the proper information is easily accessible and that it can be easily understood by the system operator. Combining the new software tools for EMS/SCADA to provide information, the display technology to create an environment to place this information, and the situational awareness aspect, are all steps that are required to enable employees to better make critical decisions during normal and emergency situations.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,136
Score d'incertitude au seuil0,455

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,1360,012

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,269
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2007
Routes d'admission1
Résumé présentoui

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