Industry Dictionary –
Sharing Our Expertise with You
As organizations continue on their digitalization journey, there are more and more words used to describe the environment, the technology, and the process. Here’s a dictionary to help you on your journey.
Artificial Intelligence
Machine learning is an analytical method that is a part of artificial intelligence. Systems are able to learn from data using different techniques to identify patterns and provide information for decision-making or action. Machine learning is divided into different types including unsupervised machine learning, supervised machine learning, and reinforcement learning.
Unsupervised learning is a type of machine learning. It is characterized by the fact that we don’t have pre-knowledge of the output, only the input. HanPHI uses unsupervised learning by taking your historical normal, fault-free data to create patterns and expected values.
Supervised learning is a type of machine learning. It is different from other types in that it has a ground truth. We and the computer know what the resulting output should be.
Modeling is the creation of a representation of something that can be used for monitoring, simulation, forecasting, and other needs. There are different types of modeling including empirical, neural, physical, statistical, and structural modeling.
The optimization process using HanPHI’s empirical models against live data.
HOW HAVE YOU IMPLEMENTED AI ELEMENTS AT YOUR ORGANIZATION?
See how we’ve helped our customers.
Technology
HAVE QUESTIONS ABOUT HOW TO IMPLEMENT AN IMPROVED DATA HISTORIAN?
Talk with our Customer Support team!
Big data focuses on data that is large in volume. The amount of data continues to grow and traditional methods of data storage, digestion, and analysis are not capable of handling.
Data is information. Three main types are structured, unstructured, and semi-structured data.
Structured data is information that falls in a standardized format. An example of structured data is the date.
Unstructured data is information that does not fall under a prescribed format. An example of this are images or audio files. You can categorize them by their type (file format) but the content includes qualitative data.
Semi-structured data is a combination of both structured data and unstructured data. A good example is an email–it includes structured data like the time the email was sent but also unstructured data like the body of the message.
Communication
Analog signals are characterized by continuous values. Unlike a digital tag that has 2 options, an analog signal is not constrained by 2 values. An example of an analog signal is temperature.
A communication protocol is a set of standards or rules that enables two systems to talk with each other (ie send information). Depending on the systems that need to talk with each other, there are various communication protocols used. Some examples are OPC, Modbus, EtherNet/IP, and BACnet.
A HanAra specific application that processes and prepares data to be archived from the Gateway.
A digital signal has discrete values. Examples of discrete values include on/off, 0/1, or open/close.
An application that serves as an interface between multiple devices using device specific communications protocols. For HanAra solutions, collected data is then transferred to the Data Manager.
Input/Output, also seen as IO or I/O, refers to the fact that for every input there is an output. A system receives data or a signal (ie input) and then sends data or a signal out (ie output).
OPC stands for Open Platform Communications. It is an open and secure communication standard used in the process industry. For more about OPC, check out the OPC Foundation.
This is the computer’s main operating memory. It is where an application’s data is kept so it can be retrieved quickly. More RAM equates to better performance.
HOW DO YOU MANAGE YOUR DIFFERENT SYSTEMS AND SIGNALS?
A diverse system doesn’t have to be a headache.
Solutions
A data historian collects real-time data from equipment and archives the data into the database. The top data historians provide historical and real-time data without loss, built-in data visualizations, data collaboration tools, automated reporting, and APIs.
APM stands for asset performance management. The goal of APM is to improve reliability and availability of assets. There are different types of APM solutions including condition-based monitoring, predictive maintenance, and reliability-centered maintenance. For HanAra, our APM solution HanPHI identifies potential and hidden failures by creating an equipment and plant health index.
FDD stands for fault detection and diagnostics. The goal of FDD is to minimize risk and improve operations through monitoring, fault detection, and diagnostics. FDD can be divided into the following stages: 1) monitoring, 2) fault detection, 3) fault identification, 4) fault diagnostics, and 5) evaluation and analysis. For more details, check out our blog post on fault detection and diagnostics.
HMI stands for Human-Machine Interface. Provides an optimal control environment by helping users quickly recognize the equipment status of their plant. Allows for accurate control and monitoring of equipment with a stable and efficient system. Our HMI platform HanHMI helps you to accurately monitor plant operation data and safely control your facilities.
APR stands for Advanced Pattern Recognition. A platform like this gives you the ability to design maintenance strategies that prevent breakdowns before they have a chance to slow your production to a costly standstill. With an APR solution like HanPHI, you’ll see an anomaly in your data long before it causes unplanned machine downtime.
AIP stands for Asset Investment Planning. This software improves strategic budget decisions and investment planning with data-driven insights and asset performance predictions.
EAM stands for Enterprise Asset Management. This process flow system manages asset maintenance and data throughout the entire asset lifecycle.
CMMS stands for Computerized Maintenance Management System. This software tool collects and archives maintenance information to facilitate maintenance operations.
Computing
A HanAra specific application that processes and prepares data to be archived from the Gateway.
An application that serves as an interface between multiple devices using device specific communications protocols. For HanAra solutions, collected data is then transferred to the Data Manager.
The processor represents computing power. HanAra solutions have minimum processor specifications to ensure the software performs optimally.
This is the computer’s main operating memory. It is where an application’s data is kept so it can be retrieved quickly. More RAM equates to better performance.