A-B 1756-IT6I module Rockwell ControlLogix 6-point input control

RTD Error

Module error on the 1756-IR6I module is defined in ohms and is calculated across 

the entire input range that is selected, not the available range of a sensor used with the module. 

For example, if the 1…487  input range is used, the module error is calculated across 507 (actual range = 0.86…507.86 ).

The error in ohms translates to temperature, but that translation varies because the

relationship is non-linear. The most effective way to check a 1756-IR6I module 

error is to calculate the error in ohms and use that value in a linearization table to check the temperatureerror.

If the module is calibrated at operating temperature and the operating temperature remains relatively stable, 

calibration accuracy is better than 0.1% of the full range for the first year after calibration. 

This 0.1% value is a worst case value. In other words, with the 1…487input range that is selected, 

the worst case module error is 0.507.

Finally, you must check an RTD linearization table to determine the temperature error

to which an error of 0.507translates. For example, if the 1756-IR6I has a 0.1% (or 0.507 ) 

error and is operating at 0 °C (32 °F), the temperature error is -1.25…1.2 °C (-2.25…2.16 °F) 

when the Platinum 385 sensor type is used. However, this same ohms error, 

when calculated in an operating temperature of 200 °C (392 °F), translates to a temperature error of -1.4 °C…1.4 °C (-2.52…2.52 °F).

Physical Connection Options

Ethernet (10/100Base-T) channel offers:

• 10/100 Mbps communication rate.

• ISO/IEC 8802-3STD 802.3 (RJ45) connector for 10/100Base-T media.

• TCP/IP communication protocol.

• built-in isolation.

DH-485 channel offers:

• configurable isolation via the 1747-AIC or 1761-NET-AIC interfaces.

• maximum network length of 1219 m (4000 ft).

• RS-485 electrical specifications.

• Belden 9842 or Belden 3106A cable connection between nodes (daisy-chain connection).

Powerful Modeling Engine

The power of FactoryTalk Analytics LogixAI comes from a modeling engine that is targeted for industrial manufacturing use cases. 

It empowers control engineers to deploy machine learning with ControlLogix® as the execution engine 

and ControlLogix tags as the primary data source. 

It transforms streaming controller data into calculated predictions at the high speeds required for process critical control. 

The predicted operational values can be used in place of a manual reading or in a place where it’s not possible to deploy a traditional sensor or instrument. 

Operations teams can use the predictions to improve quality, increase yield, increase asset utilization and home in on specific learnings for their operational excellence journey.

A modern control system is more than its name implies. It delivers the fast system performance, 

high capacity and optimized productivity that you need from a control system today.

Our ControlLogix® and GuardLogix® 5580 family of controllers use the Studio 5000® design 

environment as the standard framework that optimizes productivity, reducing time to commission. 

This framework manages Integrated Motion over EtherNet/IP for high-speed motion applications and SIL2/PLd and SIL3/PLe safety solutions. 

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