Ethernet APL Field Sensor Platform for Remote Analytics Updates
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Solution Overview
Problem
Field devices in hazardous environments face challenges in upgrading or updating complex functionalities due to design constraints and physical limitations, with legacy communication protocols limiting data bandwidth and power, making it difficult to incorporate advanced diagnostic and analytic features.
Innovation Solution
Employing high-speed communication protocols like Ethernet APL to transmit raw sensor data to a virtual measurement and analytics platform in the cloud, enabling advanced diagnostics, analytics, and functionality updates without physical access to the field devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If legacy communication protocols (HART, FOUNDATION Fieldbus) are used in field devices, then intrinsic safety and explosion protection are maintained, but data bandwidth and power are limited, making it challenging to incorporate advanced functionality and update firmware
Solution Approach 1:
The system segments functionality between the field device and the control room. The field device performs basic sensing and communication, while advanced diagnostics, analytics, and firmware updates are handled remotely in the control room environment, allowing advanced features without increasing field device power consumption
Solution Approach 2:
The patent introduces an intermediary communication architecture that uses high-speed protocols (Ethernet APL, IO-Link) with power management layers to enable advanced functionality while maintaining power constraints in hazardous areas through gateway devices that handle complex processing remotely
2Reliability
If complex diagnostic and analytics features are incorporated into field devices, then measurement confidence and process optimization improve, but device complexity and manufacturing costs increase
Solution Approach 1:
The patent extracts complex diagnostic and analytics processing from the field device and relocates it to the control room environment. The field device sends raw or pre-processed data, while sophisticated analysis, sensor health monitoring, and predictive maintenance algorithms execute remotely, improving reliability without increasing field device complexity
Solution Approach 2:
The system implements universal processing platforms in the control room that can handle multiple field devices and various diagnostic analytics functions through software, providing enhanced measurement confidence without requiring complex hardware in each field device
3Reliability
If field devices are deployed in hazardous environments with intrinsic safety requirements, then safety is ensured, but physical access for configuration and updates becomes difficult
Solution Approach 1:
The patent implements self-service capabilities where field devices can be configured, updated, and diagnosed remotely through communication protocols. Firmware updates, parameter changes, and diagnostic routines are executed without requiring physical access to the hazardous environment, maintaining safety while improving operational ease
Solution Approach 2:
The system incorporates feedback mechanisms where the field device provides status information and receives configuration commands through high-speed communication protocols, enabling remote monitoring and updates that eliminate the need for physical access while maintaining intrinsic safety
4Loss of energy
If processing is performed at the field device to reduce data transmission, then communication bandwidth requirements decrease, but important features of raw data that could be useful for analytics are hidden
Solution Approach 1:
The patent transitions from single-dimension processing (either all raw data transmission or all local processing) to multi-dimensional architecture where data can be processed at multiple levels: basic filtering at the field device, selective transmission of important features, and advanced analytics in the control room, preserving raw data features while managing bandwidth through hierarchical processing
Data Source
AI summary
A process variable sensor system is provided. The process variable sensor system includes a process variable sensor configured to couple to a process, wherein the process variable sensor has an electrical characteristic that varies with the process variable. A controller is operably coupled to the process variable sensor and is configured to measure the electrical characteristic. A sensor communication module is coupled to the controller and configured to transport raw measurement data over Ethernet APL for processing. A process display, a process configuration device, and a virtual field device are also provided.


