The Digital Age Ramps Up
Companies have been evolving in their digital journey for over 50 years, starting with the introduction of computers into the workplace. Now, more than ever before, the industry is ramping up its focus on data-driven, digital tools and solutions to further increase efficiency and lower costs. This requires an understanding of processes and how automation can support workers to optimize productivity, as we continue to transform the way we work.
In today’s highly competitive landscape, the financial health of companies depends on the following transformational goals in order to reap all the benefits of going digital
- Integration of data enterprise-wide
- Automation of critical systems and processes
- Delivery of accurate data, with reduced human errors
- Traceability and accessibility of data for analysis
- Better informed decision-making in real time
- Safe working conditions, while pushing processes to maximum operation limits
Equipment & Process Reliability
For our purposes, digitalization begins with collecting and monitoring measurements to assure equipment and process reliability. While “smart” sensors are an integral part of this pursuit, information must still be diagnosed and combined with other data from a broad range of sources—maintenance, engineering, and validation testing—to realize its full value. That is where HINT comes in with our proprietary AML 4 Information Management System, which provides centralized data collection, storage, and access to everything you need to know about a given asset (operational activity, events, PVT parameters, laboratory analysis results, etc.).
Get the Big Picture, with Big Data
Digitalization needs in the measurement world are seen through different lenses by different individuals and groups. Operators are most interested in running processes at peak efficiency, so validation data are typically sufficient for them. Maintenance personnel, however, want to see all the indicators of potential errors, making their requirements much greater, including huge volumes of historical data, i.e. big data.
AML 4 is designed to manage the full array of measurable parameters, or data types, from all input/output (I/O) devices. The below data types contribute to obtaining the best possible diagnostic information for a given asset or industrial/laboratory process. Ask yourself whether you have these criteria in place.
|Data Type||Questions to Ask|
|Data integrity||Are the data reliable and accurate? Are operations within allowable limits?|
|Data redundancy||Are there two process measurements (i.e. duplication) for the same parameter?|
|Data consistency||Are different pieces of information about a given system being used to verify the quality of the measurement?|
|Real-time diagnostic data||Are recalibration requirements calculated, e.g. when data is outside the uncertainty limits? |
Is the current health status of the meter, itself, provided?
|Are you measuring all maintenance-related data with alerts to prevent failures?|
|Are data being stored over time for long-term analysis and future reference?|
AML 4 Capabilities
AML 4 is a comprehensive information management system designed for enterprise-wide use by technicians, engineers, and managers. It retrieves real-time data from I/O devices, either directly or through a third-party system, enabling the information to be visualized at any level of the organization.
Converting Data into Knowledge
The primary objective of AML 4 is to provide insight into the equipment of a plant/facility based on actual information from the field. Automated tracking and execution of recurring tasks are done based on the field data. Problems are displayed on-screen in a clear presentation of measurements and diagnostic analysis. Lessons learned are used to improve both current and future tasks, while reducing investigation and detection times.
How it Works
The unique AML 4 software product leverages the principles of openness, scalability, data analytics cloud computing, IIoT (Industrial Internet of Things), Industry 4.0, HTML5 markup language, and interoperability for true hardware/software compatibility. It connects real-time sensors from the field with business systems, providing critical insight for making the right decision, at the right time.
The AML 4 system can be hosted by an on-premises server or via cloud technology. Its web-based user interface makes access easy from office computers and mobile devices. By using real-time data from the field, AML 4 provides informed suggestions, while also providing the tools to do in-depth investigations.
AML 4 helps technicians and engineers automate workflows, leading to higher efficiency, improved trust in devices, and maintenance cost savings.
AML 4 helps to analyze the root cause of problems and initiate actions based on conditions created by the user. When the root cause of a certain problem in the field or laboratory is identified, a system trigger for that problem can be configured in AML to signal when the problem is about to happen or is happening again.
To be able to use the data that comes from a device, it is necessary to ensure it is reliable and accurate. AML 4 guarantees data quality through a “quality label.” This label is a combination of process data, diagnostic information, validation testing data, statistical analysis, and data analysis.
The AML 4 Information Management System supports a wide range of functionality, including:
- Analyzer Management (AMADAS)
- Continuous Emission Monitoring System (CEMS)
- Loading System (Loading)
- Vibration Monitoring Devices
- Fire and Gas
- Turbine Inlet Cooling Energy Savings and Optimization
- Virtual Metering, Metrology, and Flow Measurements for Energy, Gas, and Liquid (Virtual Metering)
- Product Allocation and Hydrocarbon Accounting Information Management & Maintenance
- Process Safety Information Management and Maintenance System
AML 4 delivers immense value to essential business operations, with expanded functionality to cover multiple locations and sensors, while allowing users to add or modify new equipment from an easy-to-use web interface. The following main features and benefits contribute to the overall improvement of production quantity and quality:
A Phased Approach
To achieve a smooth implementation for new users, Hint offers customers three phases of training:
Phase 1 — Acquiring field information related to operational states, validation, maintenance, etc.
Phase 2 — Analyzing and reporting on information gathered in Phase 1
Phase 3 — Learning from the data investigation of Phase 2, and applying those learnings to make better decisions