Global benchmarking for a terminal automation solution

• US 10,535,030 B2
• Filed: 01/30/2017
• Issued: 01/14/2020
• Est. Priority Date: 01/30/2017
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Natarajan, Ramesh Murugan
• Primary Examiner(s): Mansfield, Thomas L
• Application Number:
  US15/419,404
• Publication Number:
  US 20180218307A1
• Time in Patent Office: 1,079 Days
• Field of Search: None
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A method of automated remote terminal benchmarking includes providing a computing system including a processor having an associated memory which implements a benchmarking algorithm. The benchmarking algorithm implements receiving raw data associated with a plurality of Key Performance Indicator (KPIs) including real-time data from different bulk liquid terminals spanning sites across a plurality of continents, and calculating a global target benchmark value or global target benchmark range for at least a first of the plurality of KPIs from the raw data. Responsive to a user'"'"' request at a selected first of the different bulk liquid terminal (first terminal), a benchmark report is generated which benchmarks a KPI performance of the first terminal including for the first KPI by a comparison to the global target benchmark value or global target benchmark range.

Claims

1. A method of automated remote terminal benchmarking, comprising:

providing a computing system including a processor having an associated memory which implements a benchmarking algorithm, said benchmarking algorithm;

receiving raw data associated with a plurality of Key Performance Indicators (KPIs) including real-time data from different bulk liquid storage terminals spanning sites across a plurality of continents;

calculating a global target benchmark value or global target benchmark range for at least a first of said plurality of KPIs (first KPI) from said raw data;

generating a benchmark report which benchmarks a KPI performance of a first terminal of said bulk liquid storage terminals including for said first KPI by a comparison to said global target benchmark value or to said global target benchmark range, and

wherein said benchmarking algorithm further implements a training simulator for said user that simulates actual terminal operations, real conditions, and abnormal conditions including alarm conditions.

2. The method of claim 1, wherein said computing system is remotely located relative to said first terminal.

3. The method of claim 2, wherein said computing system is cloud located.

4. The method of claim 1, wherein said bulk liquid storage terminals comprise a petroleum-based terminal.

5. The method of claim 1, wherein said bulk liquid storage terminals are involved in modes of transport selected from surface, rail, marine and pipeline.

6. The method of claim 1, wherein said global target benchmark value or global target benchmark range are based on a best in class performance and a worst in class performance of said bulk liquid storage terminals.

7. A continuous automated remote global benchmarking system for terminals, comprising:

a computing system including a processor having an associated memory which implements a benchmarking algorithm, said benchmarking algorithm;

receiving raw data associated with a plurality of Key Performance Indicator (KPIs) from different bulk liquid storage terminals spanning across a plurality of continents;

real-time calculating a global target benchmark value or global target benchmark range for at least a first of said plurality of KPIs (first KPI) from said raw data;

generating a benchmark report which benchmarks a KPI performance of a first terminal of said bulk liquid storage terminals including for said first KPI by a comparison to said global target benchmark value or to said global target benchmark range, and

wherein said benchmarking algorithm further implements a training simulator for said user that simulates actual terminal operations, real conditions and abnormal conditions including alarm conditions.

8. The system of claim 7, said global target benchmark value or global target benchmark range are based on a best in class performance and a worst in class performance of said bulk liquid storage terminals.