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March

2017

HYDROCARBON

ENGINEERING

94

processing integrated with analogue-digital conversion.

The analogue to digital conversion is performed directly

at the physical process or ‘actual working point’. This

eliminates the error prone transmission of analogue

values over distance and environmental factors, such as

temperature changes and vibrations. In addition, the

microprocessor corrects the linearity error of mechanics

and electronics. Thanks to these features, strain gauge

technology load cells with weight capacities from 100 kg

to 100 t achieve a previously unheard of accuracy of

10 000 points according to the Organisation

Internationale de Métrologie Légale (OIML) or National

Type Evaluation Programme (NTEP).

Enabling predictive maintenance

The intelligence in the load cell also allows continuous

analysis of the weighing process. This means a gradual loss

of performance in a load cell can be identified, and, once

identified, reported to the control system. This is a

prerequisite for the implementation of the sensor in an

Industry 4.0 environment. In contrast, load cells with

analogue value transmission provide, at best, a general fault

message. This means that only manual troubleshooting on

site can determine which load cell is affected. Moreover, a

gradual decline in performance of a single load cell is not

recognisable.

This ability to monitor performance may be particularly

helpful in the process industry where the scale is a critical

sensor. This is because false weights and load cell

disturbances have a significant impact on quality and cost.

Unlike a manual weighing process where an operator that

can respond appropriately is present, failures often go

unnoticed in automated processes. Here, a direct message

to the control system, or to the mobile phone of the

production manager, is crucial for rapid troubleshooting.

Remote diagnostics can also be useful for machine

builders. With this function, the builders will be informed

during the warranty period if there is interference to the

system supplied to an end user. If interference occurs, the

client can be asked to carry out a site inspection or

intervene appropriately.

Additionally, when an intelligent load cell detects loss of

performance, it can alert the operator that preventative

maintenance is needed to allow cleaning or removal of other

disturbance factors. If a load cell fails, it can be replaced

quickly thanks to stored calibration data. In contrast to

analogue technology, the digital load cell can also be

replaced at a faster rate, and more easily, as digital plug and

play connections do not require the replacement of cabling.

Easier commissioning and operation

A weighing installation should be calibrated after

installation is completed to benefit from the typically

superior accuracy of weighing compared to alternative

technologies, such as flow meters or level sensors. Regular

calibration with test weights is the most precise and safest

of all calibration methods. Initial calibration at installation

with test weights is even necessary for processes with high

accuracy requirements and specific regulatory provisions.

For less demanding applications, the recommendation is to

Figure 1.

Tank weighing systems are often process

critical. Intelligent load cells avoid unplanned outages

before they occur.

Figure 2.

A weigh module with an integrated

microprocessor enables continuous process analysis.

They can detect a gradual performance decline over

time.

Figure 3.

Intelligent sensors with digital data transfer

can be daisy-chained and do not need a junction box

as traditional analogue weighing systems do.

What is Industry 4.0?

Industry 4.0, or the Fourth Industrial Revolution,

includes cyber-physical systems, including the 'Internet

of Things', and cloud computing. The term 'Industry 4.0'

originates from the high tech strategy of the German

government to promote the computerisation of

manufacturing. However, the term and strategy has

been widely adopted by most European countries. For

US audiences, this may best be translated as the

'Internet of Things'.