maksymalnie 60 sma˝eniach. Przed wymianà poczekaç, a˝ frytownica zupe∏nie ostygnie.

1.Zdjàç pokrywk´ z komory filtra (13).

2.Wyjàç filtr (9) i wymieniç go na nowy.

3.Za∏o˝yç pokryw´.

PRZECHOWYWANIE

Przed schowaniem frytownicy poczekaç, a˝ urzàdzenie zupe∏nie ostygnie.

Na czas przechowywania posmarowaç powierzchni´ wewn´trznà frytownicy niewielkà iloÊcià oleju. W takim wypadku sprawdziç, czy pokrywa jest dobrze zamkni´ta, aby na warstwie oleju nie osiada∏ kurz lub zanieczyczczenia.

OCHRONA RODOWISKA

JeÊli urzàdzenie nie b´dzie nadawa∏o si´ do u˝ytku, pozbyç si´ go w sposób niezagra˝ajàcy Êrodowisku naturalnemu i zgodnie z obwiàzujàcymi przepisami. W wi´kszoÊci przypadków produkty tego typu mo˝na oddaç do lokalnych zak∏adów utylizacyjnych.

WARUNKI GWARANCJI

Gwarancja nie obejmuje nast´pujàcych przypadków:

Je˝eli powy˝sze zalecenia nie by∏y przestrzegane.

Je˝eli urzàdzenie poddano modyfikacji bez upowa˝nienia.

Je˝eli korzystano z urzàdzenia w sposób niezgodny z jego przeznaczeniem, nieostro˝nie lub uszkodzono je w jakikolwiek sposób.

Je˝eli uszkodzenia powsta∏y na skutek wadliwego dzia∏ania sieci elektrycznej.

DANE TECHNICZNE

Napi´cie robocze:

230 V, 50 Hz

Moc:

 

1800 W

Temperatura (maks.):

190° C

PojemnoÊç:

 

2,5 l

Wymiary:

29x37,5x25 cm (SxDxW)

D∏ugoÊç przewodu

 

zasilajàcego:

 

1,45 m

Waga:

 

3,6 kg

Kolor:

 

bia∏y

Z powodu ciàg∏ego udoskonalania naszych produktów w zakresie ich dzia∏ania i wzornictwa, zastrzegamy sobie prawo do wprowadzania zmian w produktach bez uprzedzenia.

IMPORTER

Adexi Group

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Melissa 743-192 manual Przechowywanie, Ochrona Rodowiska, Warunki Gwarancji, Dane Techniczne

743-192 specifications

Melissa 743-192 is a cutting-edge system designed primarily for high-performance data analysis and processing. Engineered to cater to the evolving needs of businesses, this advanced software solution integrates a suite of features that optimize analytics, enhance operational efficiency, and support decision-making processes.

One of the main features of Melissa 743-192 is its robust data integration capabilities. It supports various data sources, including relational databases, cloud storage, and real-time streaming data. This allows users to consolidate information from different platforms seamlessly, providing a comprehensive view of the data landscape. The system utilizes advanced ETL (Extract, Transform, Load) processes to ensure high data quality and consistency.

The technology behind Melissa 743-192 is built on a scalable architecture that can easily accommodate growing data volumes. Leveraging distributed computing principles, it efficiently processes large datasets by employing parallel processing techniques. This ensures users can conduct complex analyses quickly, significantly reducing the time from data acquisition to actionable insights.

Additionally, Melissa 743-192 includes advanced machine learning algorithms that enhance predictive analytics capabilities. These algorithms can identify trends, patterns, and anomalies within data, enabling organizations to make data-driven decisions confidently. The system's AI-powered analytics tools not only provide insights but also assist in automating routine tasks, thereby freeing up valuable resources for strategic initiatives.

User experience is a paramount consideration in Melissa 743-192’s design. The intuitive interface allows users, regardless of technical proficiency, to navigate through various functionalities effortlessly. Customizable dashboards and visualizations enable users to present data in an easily digestible format, enhancing communication across teams.

Security is a critical characteristic of Melissa 743-192. It implements stringent security protocols, including end-to-end encryption and user access controls, to ensure that sensitive data remains protected. Regular updates and compliance with industry standards further bolster its reliability.

In summary, Melissa 743-192 represents a significant advancement in data processing systems, offering unparalleled features and technologies that empower businesses to harness the power of their data effectively. With its integration capabilities, scalable architecture, machine learning enhancements, user-friendly interface, and robust security measures, it positions itself as an essential tool for any organization seeking to improve its data analytics capabilities.