DWEEN pricing — pay for what your plant uses

Components:

IoT Hub

DWEEN IoT Hub is a service that collects data from databases, measurement devices, SCADA systems or other equipment and enables one-way communication among measurement devices and DWEEN system. DWEEN IoT Hub offers several plan options based on pricing and scale. Each IoT Hub plan is available in two sizes, based around how much data throughput they can handle in any given day.

DWEEN platform offers 6 APIs that provide additional information for the digital twin and allows for more detailed and data-based insights, as well as a better workflow management

Email

The DWEEN platform has a convenient mailing system, which allows to send automatic email notifications, automatically generated summaries of planned tasks from the tasker, possibility to personalized emails by creating well-designed templates.

DWEEN REST API

The DWEEN REST API allows users to communicate with the DWEEN platform using a REST interface. It is used to read and write data. RESTful API supports information exchange and follows secure, reliable, and efficient system communication standards.

Tasker

In the DWEEN system tasker is a flexible and effective tool for managing tasks, business processes or projects. It is used to monitor daily plans, schedule online meetings or to manage workflow of tasks. API includes task editor, smart schedule, to-do-list, booking and other workflow management capabilities.

Customer relationship management (CRM)

Customer relationship management (CRM) is a DWEEN platform part that helps businesses foster strong customer relationships, managing company's information including interactions with customers. A digital CRM brings all this information into one cohesive unit. The company’s complete information with clients contacts exists alongside a list of deals or projects, activity pipelines and much more.

Reporting System

The DWEEN Digital management reporting system is used to provide and distribute reports to the decision-makers. The system has powerful visualizations with dashboards which allows it to organize information and auto-generate into analytical reports. Real-time and relevant measurements are managed to make better-informed business choices.

Weather forecast

Reliable weather forecast information enables efficient equipment controlling and informed decision-making for business processes and calculation operations. Planning weather sensitive operations in advance or reacting to any expected change in weather conditions ensures safer, more efficient operations and provides the potential for enormous savings on total operating cost. The DWEEN weather forecasting services include a consultation to find the best forecasting solution for the project in real-time.

Our DWEEN Digital Twins can be applied to separate units by functionality or be used for a general data-based optimization of the whole industrial set-up. Digital Twin can be used to track and improve the performance of key industrial infrastructure in heating (heat exchangers, gas furnaces, biomass boilers), cooling (refrigeration and chilling systems), building management (ventilation, BMS) and other settings. The solution is also applicable in making sense of industrial data by providing data filtration capabilities for refining data sets, data aggregation for turning raw data into sets that can be statistically analyzed, and energy consumption forecast for merging the historical data and making future energy consumption predictions.

Digital twin functionality

Ventilator: DWEEN performs mathematical tasks, system processes the data obtained with the help of calculations and returns the main measurements of the ventilator, while the user can control input and output values.
Pump
Heat exchanger: DWEEN Digital Twin is capable of calculating the logarithmic mean temperature difference and heat transfer coefficient based on the main measurements of the heat exchanger.
Gas furnace: solution designed for district heating companies. It's a virtual simulation of a physical heating network and data including consumer energy metering and smart remote control, heat energy demand forecast, real time thermal etc.
Building with ventilation: Digital Twin is analyzing and evaluating the building's energy data in real-time. It includes Al algorithms which allow to minimize energy consumption for heating, hot water preparation, cooling, ventilation. Together with Al control. includes interface for third parties smart energy meter data collection. firefight control. etc.
Refrigeration/Chiller systems: DWEEN Cooling is a Digital Twin of the cooling system designed to reduce refrigeration and cooling cost through continuous system monitoring and real time demand response.
Building management system (BMS): used to monitor and manage the mechanical, electrical and electromechanical services in a facility, including power, heating, ventilation, air-conditioning, physical access control, pumping stations.
Building: Digital Twin is analyzing and evaluating the building's energy consumption data in real-time. It includes Al algorithms which allow to minimize energy consumption for heating, hot water preparation, cooling, ventilation.
Drying: DWEEN Drying Digital Twin helps to control output, material, and energy cost of a drying process.
Biomass boiler: DWEEN Boiler - Digital Twin of a biomass boiler house that monitors. analyses. estimates efficiency and controls power plants in the most efficient way by evaluating real-time data.
Cooling / Refrigeration: DWEEN Cooling is a Digital Twin of the cooling system designed to reduce refrigeration and cooling cost through continuous system monitoring and real time demand response.

Digital twin for industry

Data filtration: data filtering in the DWEEN system refers to a wide range of strategies or solutions for refining time series data sets. The statistical filtering algorithms of the system allows it to filter specific data and calculate results for particular periods of time.
Data aggregation: data aggregation is the process where raw data is collected. consolidated, and expressed in a summary form for statistical analysis. Data aggregation uses patterns in the data to emerge. and these patterns ars as the basis for data analysis and decision making.
Energy consumption forecast: on the basis of historical electricity consumption, historical meteorological data and meteorological forecasts, the DWEEN system is not only able to predict the electricity consumption, but can also automatically and continuously calibrate and improve its predictions as it is fed with more data.