IT in Manufacturing


Respond to conveyor jams faster

February 2023 IT in Manufacturing

One of the most persistent issues that customers talk about in the material handling market is conveyor jams. The lost productivity, damage to equipment, and unnecessary shutdowns due to false conveyor jams, all add up. Additionally, when products get stuck in conveyor jams, they can incur damage from repeated collisions, so jams need to be identified immediately and resolved as soon as possible. Turck Banner has listened to its customers and developed a simple yet effective solution to solve the issues related to conveyor jams.

The Turck Banner Q5X Jam Detection Sensor is a plug-and-play solution that immediately alerts operators whenever a physical jam occurs. They can then clear the jam and get the line moving again with minimal interruption. This helps reduce overall downtime significantly, particularly for conveyor systems featuring curves, gravity-fed spirals, and other potential bottlenecks.

Traditionally, jam detection on conveyors incorporates a photoelectric sensor beam that products interrupt as they move forward through the system. When one item completely passes the sensor beam, there should be a gap before the next item interrupts it, and these regularly recurring gaps are used to identify individual items and maintain proper automation speed.

By contrast, the Q5X Jam Detection Sensor does not rely on gap identification. Instead, it extends the functionality of Turck Banner’s existing dual-mode technology with a built-in jam algorithm. This enables the sensor to detect changes in signal strength and distance between the face of the sensor and the products. With this approach, the sensor can easily detect when items are freely flowing. This is a much more accurate method of detecting conveyor jams when they occur.

A false jam occurs when a sensing system detects a conveyor jam when in fact no jam is actually present. For example, a typical sensor might incorrectly identify a jam in a production line if two packages that are freely moving through the system are simply too close together for a visual gap between them to be registered. These false jams cause lost productivity due to unnecessary stopping of lines, causing downstream processes to be starved for work, and wasted time when maintenance is forced to check on problems that do not exist. The Q5X Jam Detection Sensor drastically reduces false jams − in some instances reducing them by 80 to 90%.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Virtualising the control room to reshape building management systems
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains how virtualising building management systems frees facilities teams from ageing hardware, delivers stronger cybersecurity and enables portfolio-wide control from a single interface.

Read more...
AI infrastructure solutions for data campus
Schneider Electric South Africa IT in Manufacturing
Schneider Electric and Motivair deliver more than $290 million in power and cooling infrastructure for TeraWulf’s AI-ready Lake Mariner data campus.

Read more...
Africa’s data centre evolution: AI, edge computing and new energy demands
IT in Manufacturing
With less than half a gigawatt of active white space capacity serving over a billion people, Africa’s data centre sector faces a stark gap that AI’s surging power and cooling demands are set to widen. Vertiv and Open Africa Data Centres unpack how modularity, edge computing and smarter energy strategies could change the equation.

Read more...
How data and AI are unlocking South Africa’s next mineral frontier
IT in Manufacturing
Data, AI and blockchain are reshaping how mining companies explore, extract and prove the provenance of resources, opening a new frontier for South Africa’s mining sector.

Read more...
Luna Rossa partners with Siemens for 38th America’s Cup
Siemens South Africa IT in Manufacturing
Siemens details how Luna Rossa is using digital engineering and simulation tools, from CAD to structural optimisation, to design a faster yacht for the 38th America’s Cup.

Read more...
AI is raising South Africa’s cybersecurity stakes
IT in Manufacturing
As AI accelerates both the sophistication and scale of cyber threats, South African organisations face significant gaps in cloud security, data governance and identity management that need to be addressed before AI capabilities are further embedded into business operations.

Read more...
How modern EAM is becoming the driver of productivity, resilience and sustainability in mines
Schneider Electric South Africa IT in Manufacturing
Modern enterprise asset management is turning maintenance from a routine function into a strategic priority, helping mines extend the life of ageing infrastructure while improving productivity and safety.

Read more...
Physical AI solution with potential to transform South African manufacturing
IT in Manufacturing
NTT DATA and Hyster-Yale Materials Handling have deployed physical AI in an industrial assembly environment, embedding intelligence into production workflows to improve quality assurance and cut deployment timelines significantly.

Read more...
AI has an energy problem but Africa has an opportunity
IT in Manufacturing
Africa’s abundant renewable energy resources and largely unbuilt infrastructure put it in a unique position to power the growth of AI data centres sustainably, provided energy solutions are designed to match the scale and flexibility that AI demands.

Read more...
Decoupling software from hardware for future-proofed process automation
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains why decoupling software from control hardware helps industrial operations modernise without disrupting production or replacing existing infrastructure.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved