ELECTRONICS: Avery Weigh-Tronix’ Model 1080 weight indicator/controller is a cost-effective data management and process control solution that utilizes modern communications protocols in standard and custom-configured floor scale, bench scale, vessel and specialized weighing applications. Offering built-in Fieldbus interfaces — including Ethernet 10/100, Profibus® DP and DeviceNet™, as well as support for ODVA™ Protocols — the 1080 meets current application needs while accommodating future growth. Its analog output option and RS 232/422/485 interface allows the 1080 to provide data transfer for legacy equipment. Additionally, the 1080’s compact form factor allows it to be easily installed in panel-mount applications, where space is at a premium.
Supporting up to eight 350Ω weight sensors in a single scale configuration, the 1080 offers exceptional flexibility through a suite of specialized applications:
Batching routines: The 1080 can provide ingredient control through a PLC interface or setpoint control, and accommodates recipes consisting of up to three weight ingredients and five timed events.
Counting routines: Through a sequence of key presses, the 1080 can display Piece Weight, Count Total and Count Transactions in counting applications.
Peak weighing: The 1080 can capture and display the highest stable weight detected during a weighing cycle.
Check weighing: Along with displaying weight data, the 1080 provides visual indication of whether the measured load is Correct, Under or Over the target value, plus Standard Deviation and X-Bar/R data for analysis.
Split axle truck weighing: When connected to a truck scale platform, the 1080 collects each axle weight separately, then transmits the entire vehicle weight via its communication ports.
The 1080 features three inputs configurable for Zero, Print, Start, Stop, Tare, Units and Tare Cancel actions. With a bright LED display with .56 inch (14 mm) digits, the 1080 is easy to read and offers an array of annunciators for network status and visual indication of weight data.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.