AB Soft Mercury 3000Si manual Serial Output Specification, Introduction, Signal Description

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Serial Output Specification

Introduction

Historically, the method of choice for many optical position feedback systems has been A quad B (Quadrature) output. The limitation of this method is output speed, especially when the interpolation level is high. When the optical sensor speed and/or the interpolation multiplier is set high, the Quadrature output frequencies will be extremely high and out of the range of the Quadrature counters of most standard motion controllers.

This limitation can be avoided by sending the position information in parallel format or in a serial word format. The parallel formats are cumbersome to cable (especially wide word lengths) and are more susceptible to noise interference. Therefore, a serial data word format is the data communication method of choice.

The Mercury 3000Si Dual Axis Averager Interpolator has the ability to output a position word in a serialized format. This allows very fast communication between an interpolator and customer application. The speed limitation of the Quadrature format is thus eliminated.

Signal Description

The interface from your electronics to the Mercury 3000SiDAA interpolator uses four signals, n_spiEnable (n_CS), spiDataOut (SDO), spiClock (SCK), and optional spiTrigger (TRIG). Each signal is differential and RS-422 compatible. See table for interpolator signal names, pin names, and pin locations:

Signal Description

 

 

 

 

 

 

 

 

 

 

Signal name

Pin Name

Function

I/O

15 pin HD

 

 

 

 

 

 

Interpolator

Connector

 

 

 

 

 

 

Referenced

 

 

 

 

n_spiEnable

n_CS+

Chip Select+

Input

7

 

 

 

 

 

n_CS-

Chip Select-

Input

8

 

 

 

spiClock

SCK+

Serial Clock+

Input

14

 

 

 

 

 

SCK-

Serial Clock-

Input

15

 

 

 

spiDataOut

SDO+

Serial Data Out+

Output

5

 

 

 

 

 

SDO-

Serial Data Out-

Output

4

 

 

 

spiTrigger

TRIG+

External Trigger+

Input

10

 

 

 

 

 

TRIG-

External Trigger-

Input

9

 

 

 

 

 

 

 

 

 

 

 

Revision pending.

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Contents Mercury 3000Si Dual Axis Averager Introduction Mercury family M10 of encoders Table Of Contents With Linear scale Mercury 3000Si Encoder SystemShown with Rotary scale With Rotary scaleLinear Encoders Mounting Installation InstructionsProper Alignment LED Linear Encoders AlignmentRotary Encoders Mounting Confirm proper alignment over the full range of motion Rotary Encoders AlignmentReference Section Installation of Linear Scales Positioning the ScaleMounting the Scale Epoxy and RTV Mounting Recommended for best accuracyRecommendations for Power Customer Interface Cable Requirements Signal WiringShield Termination Signal Description Serial Output SpecificationSignal Description IntroductionIndex Processing Hardware Requirements Optional SmartPrecision Software Installation InstructionsMicroE SS300cDI SmartPrecision Software Preliminary Main Screen Configuration and Setup SmartPrecision SoftwareConfigurations screen M3000SiDAA ConfigurationOutput Configuration Assignment for Output ChannelChannel 1 & 2 Calibration Settings Dual Axis Software Display Settings Display SettingConfirm Calibration screen Calibration SmartPrecision SoftwareCalibrate SmartPrecision Software Function System SpecificationsOperational Modes Standard Communication Mode TspiL Operational Modes Trigger Approach Timing Diagram Solution TroubleshootingContact MicroE Systems Cleaning scales

Mercury 3000Si specifications

The AB Soft Mercury 3000Si is a leading-edge software suite specifically designed for managing and optimizing various business processes. This powerful platform is crafted to meet the demands of modern businesses, providing tools that enhance efficiency, streamline operations, and foster better decision-making.

One of the standout features of the Mercury 3000Si is its advanced data analytics capability. By harnessing sophisticated algorithms and machine learning technology, the platform enables users to gain valuable insights from their data. This function allows businesses to identify trends, forecast demand, and make data-centric decisions that can significantly impact their operations.

Another key characteristic of the Mercury 3000Si is its user-friendly interface. The software is designed with a modern aesthetic and intuitive navigation, making it accessible for users at all levels of technical proficiency. This emphasis on user experience minimizes the learning curve and facilitates a smoother integration into everyday business processes.

The platform also provides robust reporting tools that allow organizations to generate custom reports with ease. Users can select from a range of templates or create their own, making it simple to present data in a visually appealing format. These reporting capabilities enable businesses to track KPIs effectively and share actionable insights with stakeholders.

In terms of scalability, the Mercury 3000Si offers a modular architecture that accommodates businesses of all sizes. Whether a small startup or a large corporation, users can tailor the software to meet their specific needs by adding or removing components as required. This flexibility ensures that the platform remains relevant as organizations grow and evolve.

Security is another prime consideration in the design of the Mercury 3000Si. The platform employs cutting-edge encryption technologies and follows best practices to protect sensitive data. Regular updates and maintenance also ensure that users are safeguarded against emerging threats and vulnerabilities.

Furthermore, the Mercury 3000Si is optimized for cloud deployment, offering the benefits of accessibility and collaboration. With cloud integration, users can access the software remotely, facilitating real-time collaboration across teams and locations.

In conclusion, the AB Soft Mercury 3000Si is an exceptional software solution that combines advanced analytics, user-friendly design, scalable architecture, robust security features, and cloud capabilities. It is an invaluable asset for businesses striving for operational excellence and data-driven decision-making in an increasingly competitive landscape.
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