{"id":2442,"date":"2020-10-26T11:31:02","date_gmt":"2020-10-26T16:31:02","guid":{"rendered":"https:\/\/www.IpsenHarold.com\/?p=2442"},"modified":"2026-04-16T14:12:14","modified_gmt":"2026-04-16T14:12:14","slug":"pdmetrics-case-studies-hot-zone-cleanliness-and-efficiency","status":"publish","type":"knowledge-center","link":"https:\/\/ipsenglobal.com\/es\/knowledge-center\/pdmetrics-case-studies-hot-zone-cleanliness-and-efficiency\/","title":{"rendered":"Estudio de caso de PdMetrics: Limpieza y eficiencia de la zona caliente"},"content":{"rendered":"

PdMetrics de Ipsen\u00ae<\/sup> utiliza sensores y algoritmos de control propios para determinar el momento adecuado para sustituir piezas y realizar el mantenimiento del horno. Mediante la supervisi\u00f3n de datos cr\u00edticos, los usuarios pueden mejorar el estado y la integridad de varios sistemas, como la zona caliente, el sistema de bombeo y el sistema de refrigeraci\u00f3n.<\/p>\n\n\n\n

Para garantizar el m\u00e1ximo rendimiento de la zona caliente, se controlan par\u00e1metros como la resistencia a tierra, la p\u00e9rdida de calor, los circuitos abiertos y la limpieza de la zona caliente. Esto, a su vez, ayuda a evitar la formaci\u00f3n de arcos, que puede da\u00f1ar los elementos calefactores; garantiza una uniformidad de calentamiento adecuada; y evita un consumo elevado de energ\u00eda por parte de la zona caliente.<\/p>\n\n\n\n

Mantener limpia la zona caliente<\/h2>\n\n\n\n

PdMetrics\u00ae<\/sup> est\u00e1 ayudando a nuestros clientes a reducir los tiempos de inactividad imprevistos y a reducir los costes de los servicios p\u00fablicos manteniendo limpias sus zonas calientes. Al monitorizar continuamente la resistencia de los elementos calefactores a tierra, PdMetrics\u00ae<\/sup> informa al cliente cuando es necesario un ciclo de limpieza para evitar la formaci\u00f3n de arcos y da\u00f1os en la zona caliente y\/o en las piezas.<\/p>\n\n\n\n

En este caso, la resistencia a tierra disminuy\u00f3 de unos 100 a 85 ohmios con el tiempo.<\/p>\n\n\n

\n
\"Element<\/figure>\n<\/div>\n\n\n

PdMetrics\u00ae<\/sup> envi\u00f3 una notificaci\u00f3n al cliente junto con un indicador de advertencia en el PdMetrics\u00ae<\/sup> Widget de resistencia de elemento a tierra en el cuadro de mandos.<\/p>\n\n\n

\n
\"Ipsen<\/figure>\n<\/div>\n\n\n

A continuaci\u00f3n se muestra una foto de la cer\u00e1mica contaminada antes de la quema y la condici\u00f3n de alarma en el PdMetrics\u00ae<\/sup> salpicadero.<\/p>\n\n\n

\n
\"Contaminated<\/figure>\n<\/div>\n\n\n

PdMetrics\u00ae<\/sup> a continuaci\u00f3n, indic\u00f3 al cliente que realizara un ciclo de limpieza y sustituyera cualquier cer\u00e1mica contaminada. Tras seguir las recomendaciones, la resistencia a tierra volvi\u00f3 al estado verde a 100 ohmios.<\/p>\n\n\n

\n
\"Element<\/figure>\n<\/div>\n\n
\n
\"Ipsen<\/figure>\n<\/div>\n\n\n

Mantener la eficiencia de la zona caliente<\/h2>\n\n\n\n

PdMetrics\u00ae<\/sup> tambi\u00e9n supervisa la p\u00e9rdida de calor del horno para indicar a los clientes cu\u00e1ndo ha llegado el momento de sustituir la zona caliente y el aislamiento. Dependiendo del proceso de tratamiento t\u00e9rmico, del mantenimiento del horno y del uso, la sustituci\u00f3n de la zona caliente puede variar entre menos de cinco a\u00f1os y m\u00e1s de ocho. Este plazo puede ser dif\u00edcil de estimar, pero gracias a PdMetrics\u00ae<\/sup>Ahora, el cliente puede basarse en los datos para planificar la sustituci\u00f3n de una zona caliente.<\/p>\n\n\n\n

PdMetrics\u00ae<\/sup> calcula la p\u00e9rdida de calor a una temperatura determinada, normalmente durante un ciclo de quemado a 2200 \u00b0F. En funci\u00f3n del valor de p\u00e9rdida de calor calculado, PdMetrics\u00ae<\/sup> muestra una condici\u00f3n verde, amarilla o roja.<\/p>\n\n\n\n

Recientemente, PdMetrics\u00ae<\/sup> envi\u00f3 una notificaci\u00f3n a un cliente por una condici\u00f3n amarilla, lo que significa que hay degradaci\u00f3n del aislamiento de la zona caliente. Esta notificaci\u00f3n se env\u00eda antes de que el estado empeore, lo que podr\u00eda provocar un elevado consumo de energ\u00eda y\/o un aumento de la duraci\u00f3n del ciclo. Esto permite al cliente planificar con tiempo suficiente y proporciona datos tangibles al responsable de mantenimiento para justificar el gasto de capital. A continuaci\u00f3n se muestran las PdMetrics\u00ae<\/sup> que muestran este caso concreto de p\u00e9rdida de calor en la zona caliente.<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"

La plataforma de software PdMetrics\u00ae de Ipsen utiliza sensores propios y algoritmos de control para determinar el momento adecuado para sustituir piezas y realizar el mantenimiento del horno. Mediante la monitorizaci\u00f3n de datos cr\u00edticos, los usuarios pueden mejorar<\/p>","protected":false},"author":7,"featured_media":2077,"menu_order":0,"template":"","meta":{"_acf_changed":false,"_tec_requires_first_save":true,"_searchwp_excluded":"","_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"_tribe_blocks_recurrence_rules":"","_tribe_blocks_recurrence_description":"","_tribe_blocks_recurrence_exclusions":"","_ecp_custom_2":"","footnotes":""},"categories":[655,602,590],"tags":[215,115,75],"class_list":["post-2442","knowledge-center","type-knowledge-center","status-publish","has-post-thumbnail","hentry","category-controls","category-digital-transformation","category-sustainability","tag-pdmetrics","tag-predictive-maintenance","tag-vacuum-furnace"],"acf":[],"yoast_head":"\nKeeping 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