SKU: 10702324875

Zählwaage TCBMM

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Description

Zählwaage TCBMMEffiziente Zhlwaage TCBMM auch fr grere Teile Die Zhlwaage TCBMM ist die ideale Wahl fr Unternehmen, die eine exakte Stckzahl und Gewichtserfassung bentigen. Dank ihrer drei beleuchteten LC Displays bietet sie eine direkte Anzeige von Gewicht, Referenzstckzahl und Gesamtstckzahl, was die Effizienz und Genauigkeit in Lager, Produktion und Versand optimiert. Hervorragende Mobilitt und flexible Einsatzmglichkeiten Mit einem integrierten, leistungsstarken

Effiziente Zählwaage TCBMM - auch für größere Teile

Die Zählwaage TCBMM ist die ideale Wahl für Unternehmen, die eine exakte Stückzahl- und Gewichtserfassung benötigen. Dank ihrer drei beleuchteten LC-Displays bietet sie eine direkte Anzeige von Gewicht, Referenzstückzahl und Gesamtstückzahl, was die Effizienz und Genauigkeit in Lager, Produktion und Versand optimiert.

Hervorragende Mobilität und flexible Einsatzmöglichkeiten

Mit einem integrierten, leistungsstarken Akku (6 V/4Ah) läuft die Plattformwaage bis zu 160 Stunden ohne aktivierte Hintergrundbeleuchtung. Dadurch eignet sie sich perfekt für den mobilen Einsatz in Industrie, Handel und Logistik.

Die robuste Wägebrücke ist in verschiedenen Varianten erhältlich: mit oder ohne Stativ. Dadurch lässt sie sich flexibel als Zählwaage, Plattformwaage, Paketwaage oder Industriewaage verwenden.

Technische Daten des Auswertegeräts:

  • Gehäuse: ABS-Kunststoff, Schutzart IP54

  • Tastatur: Membrantastatur mit numerischem Tastenfeld und Direktfunktionen

  • Display: 3 beleuchtete LC-Displays, je 6 Ziffern mit 17 mm Ziffernhöhe

  • Speicher: 18 Speicherplätze (9 direkte & 9 halb direkte) für Artikel

  • Befestigung: Stativadapter und Wandhalterung integriert

  • Schutz: Inklusive Schutzhaube

  • Empfindlichkeit Wägezellenanschluss: 1,5~3,0mV/V

  • Betriebstemperatur: -10°C bis +40°C

  • Stromversorgung: AC/DC Adapter 100-240 VAC 50-60Hz oder interner Akku (inklusive)

  • Betriebsdauer: Bis zu 160 Stunden ohne Beleuchtung, ca. 90 Stunden mit Beleuchtung

  • Einheiten: g, kg oder lb

  • Zusatzfunktionen: Einstellbarer Alarm bei Zielstückzahl, programmierbare automatische Abschaltung

Wägebrücke – robust und langlebig:

  • Material: Stahlrohrkonstruktion (lackiert) mit Edelstahl-Wägeplatte

  • Wägezelle: Aluminium, Schutzart IP65, OIML R-60 C3 zertifiziert

  • Füße: Höhenverstellbar für optimalen Stand

  • Option: Stativ (600 mm Höhe), lackierter Fuß, Edelstahlrohr (poliert)

Funktionale Vielseitigkeit:

  • Summierfunktion für Gewicht und Stücke

  • Tara- und Pre-Tara-Funktion

  • Präzise Stückzählung

Perfekt als Zählwaage, Plattformwaage oder Industriewaage! Nutzen Sie die TCBMM für exakte Stückzahlkontrolle und effizientes Wiegen in Lager, Versand und Produktion. Mit ihrer hohen Messgenauigkeit und robusten Bauweise ist sie eine zuverlässige Lösung für Unternehmen jeder Größe.

Version

Ablesbarkeit (g)

Wägebereich (kg)

Abmessungen Wägebrücke (mm)

TCBMM 300x300 6kg

2

6

300x300

TCBMM 300x300 15kg

5

15

300x300

TCBMM 300x300 30kg

10

30

300x300

TCBMM 400x400 30kg

10

30

400x400

TCBMM 400x400 60kg

20

60

400x400

TCBMM 400x400 150kg

50

150

400x400

TCBMM 600x600 60kg

20

60

600x600

TCBMM 600x600 150kg

50

150

600x600

TCBMM 600x600 300kg

100

300

600x600

TCBMM 800x800 150kg

50

150

800x800

TCBMM 800x800 300kg

100

300

800x800

TCBMM 800x800 500kg

200

500

800x800

TCBMM 300x300 6kg mit Stativ

2

6

300x300

TCBMM 300x300 15kg mit Stativ

5

15

300x300

TCBMM 300x300 30kg mit Stativ

10

30

300x300

TCBMM 400x400 30kg mit Stativ

10

30

400x400

TCBMM 400x400 60kg mit Stativ

20

60

400x400

TCBMM 400x400 150kg mit Stativ

50

150

400x400

TCBMM 600x600 60kg mit Stativ

20

60

600x600

TCBMM 600x600 150kg mit Stativ

50

150

600x600

TCBMM 600x600 300kg mit Stativ

100

300

600x600

TCBMM 800x800 150kg mit Stativ

50

150

800x800

TCBMM 800x800 300kg mit Stativ

100

300

800x800

TCBMM 800x800 500kg mit Stativ

200

500

800x800

 

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SKU: 10702324875

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4.7 ★★★★★
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N
noam barkay
Battle Creek, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Houston, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Battle Creek, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Carnegie, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025
A
Verified Purchase
Amazon Customer
Omaha, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024

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