DICKINSON TECHNOLOGIES OFFERS REVOLUTIONARY, CUSTOMISABLE INDUSTRIAL PLANT TRAINING SIMULATION SOLUTIONS.
INDUSTRIAL DIGITAL TOOLKIT
PROCESS HISTORIAN
Dickinson Technologies’ visualization and digitization platform integrate with most tag capturing/database systems including; OPC, Modbus, and PMDB. Our historian is based on a robust time-series database that can store, analyze and perform complex calculations on process data.
The interface is highly customizable, allowing up to 4 hierarchical tiers (i.e. Plant, Area, Unit, and Tag). The interface can also display data from plants with multiple/different DCS vendors all in one place. This results in shorter training times and higher user engagement as users don’t have to learn how to use different vendor-specific historians.
OPERATING
ENVELOPE MANAGEMENT
OPERATING ENVELOPES ARE A SERIES OF LIMITS BOUND BY DIFFERENT PERFORMANCE INDICATORS THAT RELATE TO SAFETY, HEALTH & ENVIRONMENT (SHE), QUALITY, RELIABILITY, AND OPERATIONAL COSTS.
Operating equipment within its identified boundary conditions is vital to improving plant performance and reliability. As such, these operating envelopes are uniquely defined for each piece of equipment depending on its criticality to the overall process.
Dickinson Technologies’ Operating Envelope Management software allows users to manage their operating limits easily and effectively. Once boundary limits for equipment are configured, the software alerts users of all deviations and their respective durations. Ultimately allowing plant managers to quickly identify sub-optimal performance and correct it.
OPERATOR
TRAINING SIMULATOR
Dickinson Technologies offers revolutionary, customisable industrial plant training simulation solutions. These allow new operators of the control systems to learn how to operate plants within simulated environments, without the risk of damaging physical equipment. The training simulator can be used for a wide range of tasks, from basic actions like filling a tank, to more complex sequences.
The training simulator also allows for the development of “what if” scenarios, which help prepare the operator if the situation ever happens in the real world. These courses are designed to fully engage participants, encouraging them to interact with items relating to simulated scenarios. For instance, when filling a tank, participants can dynamically adjust the valve position to better understand how this affects process dynamics in real-time. This powerful visual and interactive training tool allows participants to better understand the effect of their actions more intuitively.
ADVANCED
ANALYTICS SOFTWARE
DATAmaestro
COLLECTORS
DATAmaestro can connect and live stream data from most industrial data sources. The data is stored in a high-performing, centralized database that is optimized for data access.
DATAmaestro
ANALYTICS
Using tailor-made machine learning techniques (Decision Trees, Random Forests, and Artificial Neural Networks) DATAmaestro transforms plant data into comprehensive KPI’s. These KPI’s help improves plant performance, optimization, and asset health.
DATAmaestro
DASHBOARDS
DATAmaestro Dashboards offer continuous decision support and recommendation tools to help optimize performance. DATAmaestro dashboards are also fully customisable to end-user requirements, from real-time indicators, to daily/monthly reports for operators, engineers and management.
OPTImaestro is a participative methodology to deploy successful and sustainable AI projects in industry. Engineers and operators have accumulated a lot of uncodified knowledge on the operation of a plant while IT systems have accumulated a huge amount of unused data. OPTImaestro combines both sources of information to improve performance and deploy reliable decision support tools.
TrendMiner is based on a high-performance analytics engine for data captured in time series, allowing process engineers and operators to easily search for trends and question their process data without the need of data scientists. This software helps users to improve their production performance across divisions; in terms of efficiency, safety and quality while reducing waste and energy consumption.