{"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\/it\/knowledge-center\/pdmetrics-case-studies-hot-zone-cleanliness-and-efficiency\/","title":{"rendered":"Caso di studio di PdMetrics: Pulizia ed efficienza della zona calda"},"content":{"rendered":"

PdMetrics di Ipsen\u00ae<\/sup> La piattaforma software utilizza sensori e algoritmi di controllo proprietari per determinare la tempistica appropriata per la sostituzione delle parti e la manutenzione del forno. Monitorando i dati critici, gli utenti sono in grado di migliorare la salute e l'integrit\u00e0 di diversi sistemi, tra cui la zona calda, il sistema di pompaggio e il sistema di raffreddamento.<\/p>\n\n\n\n

Per garantire le massime prestazioni della zona calda, vengono monitorati parametri quali la resistenza a terra, la perdita di calore, i circuiti aperti e la pulizia della zona calda. Questo, a sua volta, aiuta a evitare gli archi elettrici, che possono danneggiare gli elementi riscaldanti; assicura una corretta uniformit\u00e0 di riscaldamento e previene un elevato consumo di energia da parte della zona calda.<\/p>\n\n\n\n

Mantenere pulita la zona calda<\/h2>\n\n\n\n

PdMetrics\u00ae<\/sup> sta aiutando i nostri clienti a ridurre i tempi di inattivit\u00e0 non programmati e a diminuire i costi delle utenze mantenendo pulite le loro zone calde. Monitorando continuamente la resistenza degli elementi di riscaldamento a terra, PdMetrics\u00ae<\/sup> informa il cliente quando \u00e8 necessario un ciclo di pulizia per evitare archi elettrici e danni alla zona calda e\/o alle parti.<\/p>\n\n\n\n

In questo caso, la resistenza a terra \u00e8 diminuita nel tempo da circa 100 a 85 ohm.<\/p>\n\n\n

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

PdMetrics\u00ae<\/sup> ha inviato una notifica al cliente insieme a un indicatore di avvertimento sul PdMetrics\u00ae<\/sup> Widget Resistenza dell'elemento a terra sul cruscotto.<\/p>\n\n\n

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

Di seguito \u00e8 riportata una foto della ceramica contaminata prima del burnout e della condizione di allarme sul PdMetrics.\u00ae<\/sup> cruscotto.<\/p>\n\n\n

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

PdMetrics\u00ae<\/sup> ha quindi indicato al cliente di eseguire un ciclo di pulizia e di sostituire le ceramiche contaminate. Dopo aver seguito le raccomandazioni, la resistenza a terra \u00e8 tornata alla condizione verde di 100 Ohm.<\/p>\n\n\n

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

Mantenere l'efficienza della zona calda<\/h2>\n\n\n\n

PdMetrics\u00ae<\/sup> monitora anche la perdita di calore del forno per indicare ai clienti quando \u00e8 il momento di sostituire la zona calda e l'isolamento. A seconda del processo di trattamento termico, della manutenzione e dell'utilizzo del forno, la sostituzione della zona calda pu\u00f2 variare da meno di cinque anni a pi\u00f9 di otto anni. Questa tempistica pu\u00f2 essere difficile da stimare, ma grazie a PdMetrics\u00ae<\/sup>Il cliente pu\u00f2 ora contare sui dati per pianificare la sostituzione della zona calda.<\/p>\n\n\n\n

PdMetrics\u00ae<\/sup> calcola la perdita di calore a una determinata temperatura, tipicamente durante un ciclo di burnout a 2200 \u00b0F. In base al valore di perdita di calore calcolato, PdMetrics\u00ae<\/sup> mostra una condizione verde, gialla o rossa.<\/p>\n\n\n\n

Recentemente, PdMetrics\u00ae<\/sup> ha inviato una notifica a un cliente per una condizione gialla, ovvero il degrado dell'isolamento della zona calda. Questa notifica viene inviata prima che la condizione peggiori, il che potrebbe comportare un consumo energetico elevato e\/o un aumento del tempo di ciclo. Ci\u00f2 consente al cliente di avere il tempo sufficiente per pianificare il futuro e fornisce dati tangibili al responsabile della manutenzione per giustificare la spesa di capitale. Di seguito sono riportate le PdMetrics\u00ae<\/sup> che mostrano questo particolare caso di perdita di calore della zona calda.<\/p>\n\n\n

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

La piattaforma software PdMetrics\u00ae di Ipsen utilizza sensori e algoritmi di controllo proprietari per determinare la tempistica appropriata per la sostituzione delle parti e la manutenzione del forno. Monitorando i dati critici, gli utenti sono in grado di migliorare<\/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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