products

SCADA VISION X10

Integrated development environment, energy management and industrial SCADA solution

VISION is one of the fastest and most visually stunning process visualization systems among SCADA programs offering comprehensive solutions. VISION is essentially an integrated development environment (IDE) with which sophisticated industrial applications can be created. VISION is the first process visualization system to provide a unified configuration and programming environment for all components. Every file is textual (images, windows, alarms, communications, databases, variables, reports, control programs, schedulers, project components, etc.), meaning scripts and all programmable elements are in the same language and syntax, furthermore, using the same editor! The VISION server is a Windows program that runs on all versions of Microsoft Windows. Clients can even run on browsers.  

Key Features:

  • Integrated, proprietary high-level programming environment (XSDL, VAL)
  • Real-time and historical trends
  • Alarm system, structured alarms, interactive filters, time filters, event map
  • Online editing (modifications occur on the running system, on-the-fly)
  • Web-based networks, numerous web technologies, web application development
  • Multi-server and redundant networks, data replication
  • High-speed graphics (typically 50-8000 fps)

Universe of VISION database compatibility

  • Intelligent (configurable) symbols
  • Automatic data collection, data processing functions, lists, tables, conversion to trends, export to Excel, PDF, and HTML formats...
  • Integrated database engine, support for all SQL engines, proprietary SQL database
  • Integration with all database servers and cloud-based services
  • Extreme fast SQL, which can result in data retrieval speeds up to 100 times faster.
  • Proprietary SQL database engine(!) providing even faster operation.
  • Big Data technology for handling terabyte- or petabyte-sized datasets containing hundreds of billions of records (MongoDB, XBD).
  • Full-scale utilization of cloud technology::
    • Management of databases via web services.
    • Reading and writing variables, variable lists.
    • Accessing trends and data collection through web services.
    • Leaflet maps for various providers (CloudMade, TopMap, MapQuest, Google).
    • Internal SCADA functions, OPC, and many other services.
  • Numerous map formats: OSM, Google Street View; 3D maps.
  • 3D visualization.
  • SNMP, Active Directory, etc.

Charts

Fact-IoT

Our proprietary IIoT solution, the pinnacle of modern technological innovation in automation and data security.

Fact-IoT is our proprietary IIoT platform, developed to address the specificities of our systems and the inadequacy of pure cloud solutions.

Specialities:

    • It must be able to save all online data according to operator instructions or set event.
    • Requires unified database management solution, using cloud database
    • A special solution for storing time-series data is needed to increase the speed by 100 times, or up to 1000 times for even larger data volumes
    • A scripting programming language is needed to perform the simplified calculations
    • Data modelling and analytical capability (see energy management) to evaluate historical data
    • Reports should be produced as interactive, responsive web pages based on data models
    • Alarms, event monitoring, logging, evaluation in graphical, audio, image, email or SMS, event map, event statistics, etc.
    • Communication with all common industrial controllers (PLC, DDC, HMI), around 140 communication drivers besides connection to other cloud services

The optimal IIoT architecture

  • No direct connection between SCADA and PLC
  • opening up the possibility for industrial automation systems (PLC / HMI; SCADA; EMS and CMMS; MES; ERP; Cloud) to communicate with each other, thus enabling real automatic operation without the need for human intervention
  • internal operations are not dependent on a cloud service provider
  • with this architecture, SCADA (EMS, BMS, CMMS, etc.) is connected to the data of local IIoT and IoT via the "Main frame"
  • systems are connected to the local IIoT platform based on IP
  • the server is freed from many of its previous functions and can its resources can be made available to run the local IIoT
  • by interposing the Distribution Service, a hierarchical system with distributed intelligence can be created, capable of optimal compression and data transfer, resulting in significant data traffic reduction
  • Connect any IoT or IIoT cloud service (AWS, Microsoft Azure, PTC ThingWorx, etc.)
The SCADA background tasks (communication, alarms, reporting, DMS-BI, cyclic program, trend and data management, historical data, etc.) are all transferred to the Fact-IoT server, which is also operating as a VISION server (in this case).

Benefits:

  • Security: since operator actions do not affect the IIoT, the VISION user does not reach IIoT services, human error is eliminated from the system
  • Speed: a significant improvement in speed by compressing the data by 1/2000 (0.05%) allowing the establishement of extremely fast communication (we managed to measure a speed increase of two times, in some cases ten times, compared to the previous system)
  • Redundant systems: reduced switching time between redundant systems to 10-100 ms
  • Trends: real-time trends can be displayed on clients
  • Modification sensitivity can be extended to the client: IIoT can treat system components as if all components were working in a shared memory
  • Restart: due to the change table modification, it is not necessary to restart VISION, neither the server nor the client, just copy the files
  • Data integrity: the SCADA application sees all the data that has been uploaded to the system - both on server and client - without even needing a variable table declaration, thus ensuring the easiest possible interoperability between systems and projects

DMS – Datamanagement Studio

Cloud-based energy and data management for managing up to a large number of customers and building a service platform.

Strengths:

  • Automatic creation of datasets
  • Universal dashboards, dashboard templates
  • Easily configurable
  • Cloud-based service
  • Device-independent solution
  • Map-based and heatmap-based visualization
  • Data model (block diagram) editor
  • Dashboard editor, various layout schemes
  • Web application development using drag-and-drop techniques
  • Efficient storage of extremely large amounts of measurement or analysis data
  • Exceptional data retrieval speed
  • Built-in Excel functionality (Office not required) with significant speed increase
  • Integration with SCADA and CMMS systems
  • Integration of EMS functions
  • Diverse, freely expandable analytical and statistical functions

What is DMS?

DMS is an easily manageable data modeling and dashboard editing program. Its main purpose is to create dashboards displaying the measured and calculated data of the metering network. However, it not only creates dashboards but complete web applications containing menu systems and control elements necessary for selecting data, facilities, and changing time when displaying historical data. A special feature of the system is the system of universal identifiers (Smart ID) introduced for data grouping, which allows us to create universally applicable data processing and dashboard schemes. The extraordinary workload of individual data assignment thus decreases to a fraction, while the created schemes can be used in multiple projects. The data from DMS can be displayed on a dashboard and map, accessed by users in the form of a web application using the DMS cloud service. It is completely configurable so that users can see what they need from the projects and dashboards created in the system and perform any necessary interventions.

Goals and Benefits of Using DMS

Goals: Benefits:
Designing editor interfaces by the client. Hierarchical description of tree-sturcture  metering groups and client groups.
Establishment of client and metering groups. Data processing and visualization.
Dashboard configuration. Editable dashboards.
Web application development. Big Data

Capabilities of DMS

  1. Topology and data model descriptors
  2. Dashboard editor
  3. Data collection system from databases, file systems, and database tables
  4. Collection and visualization of measurement data from meters
  5. Metering network structures
  6. Customizable grouping of meters belonging to individual clients (tenants, partners, departments, stores, functional and accounting groups, etc.)
  7. During project creation, elements can be selected from a pre-configured repository of data sources using drag-and-drop techniques
  8. Many data processing routines and some dashboard elements are independent of specific data, thanks to the introduction of Smart ID, enabling the creation of general data processing schemes
  9. Operation module containing the list of clients and the models and dashboards assigned to them
  10. Project-level approach to creating and associating structures
  11. Thematic map display of GPS-enabled data
  12. Efficient compression of large amounts of measurement or analysis data (compresses the database to about 2%)
  13. Extremely fast data retrieval (retrieval of a single data item occurs in the microsecond range)
  14. Modular support for analytical tasks
  15. Basic user skills equivalent to PowerPoint are sufficient for data aggregation and dashboard design.

DMS Requirements

Operating System: Any Windows operating system; Recommended: Windows Server 2016. MS-SQL (Oracle, MySQL, PostgreSQL, etc.) database manager
100 GB of free disk space

System Limitations:

  • Basic programming knowledge required for using the program's basic functions.
  • Higher level of programming and mathematical knowledge required for more complex analytical and statistical tasks.
 

What Can Be Analyzed?

  • Measurement data from locations and buildings.
  • Any data originating from known data collection systems within DMS.
  • Any data available in Excel, CSV, or SQL database tables.
  • Data from EMS systems.
 

Data Sources:

  • System databases (EMS, VISION, CMMS).
  • File systems (Excel, CSV).
  • Database tables (SQL).
 

EMS Data Analysis Capabilities:

  • Load profile analysis.
  • Predictive analytics, consumption forecasting, time series load prediction.
  • X-Y statistics, regression analysis.
  • Examination of dependencies on environmental parameters (cross-correlation analysis).
  • Peak consumption analytics.
  • Comprehensive heating-cooling analysis (temperature frequency, cooling-heating degree analysis, calculation of cooling-heating days, detection of deviant days, temperature-dependent consumption, third-degree regression curve, mapping of heating deviations, CUSUM analyses, heating efficiency calculation...).
  • Calculation of greenhouse gas emissions.
  • Cost calculation, controlling tasks.
  • Expert analyses, industry comparisons.
  • Gantt chart creation.
 

Special dashboards:

  • Energy map for consumers and breakdown over time.
  • Snake diagram for displaying energy source distribution or temporal changes in consumption.
  • Special heat map diagrams.
  • Control chart (automatic bandwidth determination for predictive analytics).
  • Combined diagrams from multiple data types.
  • 3D diagrams.
  • 100 types of Highcharts dashboard elements.
  • 100 types of Vision X10 dashboard elements.
  • User-configurable dashboard for any dataset with a cloud-hosted editor.
  • Reconfiguration of existing diagrams with a cloud-hosted editor.
 

Display of Information:

  • Displaying information through various user-editable dashboards as a web application.
  • Mapping of data with GPS information.
  • Visualization on a heat map.

EMS – Energy Management System

An energy management system for large companies for monitoring and complex analysis of energy consumption.

Strengths:

  • Easy to learn and use.
  • Automatic alerts, ad-hoc reports.
  • Manufacturer and device-independent, compatible with almost any metering or building automation system.
  • Capable of communicating with almost any enterprise resource planning or building intelligence system.
  • Modular structure, allowing for the purchase of only necessary functions or phased implementation.
  • Capable of handling special routers, gateways, devices, OPC subsystems, BMS, SCADA, SQL, or even text documents, CSV files, or Excel spreadsheets.
  • ISO 50001 and ISO 50002 TÜV certification.
 

What is EMS?

The Energrade EMS is a universal platform that effectively supports every function of energy management. Whether it's executives, controllers, or energy engineers, any participant in the organization can find the modules that support their strategic or daily operational work. At its core is a comprehensive data collection and metering system capable of detailing and describing energy source and utility usage at any depth and with any parameters.

Goals and Benefits of Using EMS:

Goals: Benefits:
Exploration of savings reserves. Exploration of savings reserves.
Decreased risk, increased productivity. Reduced maintenance costs and improved reliability.
Greater control for middle and upper management. Decreased exposure of the enterprise to rising energy prices.
German TÜV-certified software (50001, 50002, 16247).

Capabilities of EMS

  • Real-time and historical data visualization in various formats.
  • Modular structure (Monitoring, Analysis, Sustainability, System, Operations modules).
  • Visually appealing dashboards with pre-made or customized summaries.
  • Cost calculation with simplified tariff models, facility-specific and energy-specific costs for different energy types.
  • Layout navigation for extensive national or regional systems, facilities, or facility components.
  • Can be installed on dedicated and virtual servers.
  • Operates with exceptional speed, capable of operating hundreds of times faster and with lower storage requirements compared to traditional databases, suitable for collecting and processing hundreds of thousands of data measurements.
  • Management of multiple independent applications as a single "superproject," enabling integration of up to 50 applications in one system.
  • Remote configuration, suitable for access management.
  • Web accessibility independent of platform and browser.
  • Despite its complexity, it is easy to learn and manage.
  • Developed in compliance with international standards (ISO 50001, EU Energy Star).

EMS Requirements

Operating System Other Software Requirements
Windows operation system MSSQL, Oracle or MySQL server
 

System Limitations:

The system can only establish connections with metering devices through protocols known to the system. However, this can be expanded with additional communication drivers.

What Can Be Analyzed?

  • District heating, water utility systems.
  • Enterprise management systems.
  • Energy consumption distribution.
  • Aggregated discrepancies.
  • Predictive analytics.
  • Basic analytics.
  • Cooling and heating.
  • Energy equivalent values of greenhouse gases.
  • Key Performance Indicator (KPI) values.
  • Any process that is monitored, measured, and collected.
 

Data Collection:

    • Devices and systems manufactured in the last 15-20 years with communication channels or interfaces.
    • Integration of products or systems from 150 manufacturers.
    • Visualization and presentation of data.
    • The system can communicate with approximately 95% of the metering market.

Data Analysis:

  • Remote reading and personalized display of real-time measurement data.
  • Centralized data collection and storage, analysis of historical data over any horizon.
  • Automated reports with relevant data for the user.
  • Calculation of energy costs based on custom tariffs.
  • Management of alerts and software threshold monitoring.
  • Data export and further analysis options.
 

Information Display:

  • Cost savings.
  • Direct control tool.
  • Continuous monitoring.
  • Automated maintenance, extended lifetimes.
  • Customized reports.
  • Analytics (Predictive, Cooling/Heating, etc.).

Meter reading SCADA

8-step configurable energy metering - data collection application for collecting data from up to a large number of sub-meters

The Ener-Aid miniSCADA concept is a universal technology for collecting data from various sources and processing it uniformly. The software family is not only designed for metering devices (e.g., electricity meters) but also for handling IoT devices, efficiently processing provider files in formats such as xls, xml, csv, txt, and many other specialized tasks such as recognizing electronic invoices. The Ener-Aid Meter Reading miniSCADA allows the meter reader to be integrated into higher-level data processing and analysis systems developed by third parties, using the open, standard interfaces of the meter reader. Further analysis can be performed on the stored measurement data due to the modular expandability. The systems are capable of handling large amounts of data at both user and data levels, optimized for this purpose. The program is based on Vision X10 Scada foundations, is device-independent (capable of working with any device communicating according to specified standards), and is a meter reading, configuring, and data collecting application that:  
  • Automates data collection from instruments with communication capabilities.
  • Can validate and display collected real-time measurement data (even per second).
Helps manage measurement data from sub-meters of companies subject to sub-metering regulations much more easily. The dashboards built into the Meter Reading miniSCADA product use the electrical measurement data stored in the system to display meter-by-meter comparisons and different resolution data summaries. They also perform continuous analysis of meter data based on various standards and regulations. For example, idle analytics, voltage analysis. The Meter Reading miniSCADA can be modularly expanded with additional analytics elements. Since the electrical measurement system is already given, by specifying building parameters (area m2, air m3) and adding cooling-heating energy data, optimization analyses can be completed.

E-invoice recognition SCADA

Invoice configuration, scanning and storage software

Advantages:

  • Processing of consumption and cost data from readable PDF invoices.
  • Compatibility with Energrade DMS.
  • Display of processed data on a monitoring dashboard.
  • Usable via a web interface.
  • Easily expandable with new invoice image types.
  • Automated extraction of data from additional invoices with a one-time configuration of invoice image types for the same issuer (e.g., MVM gas settlement invoice).
  • Automatic aggregation of data from various invoice types.
  • Export of invoice data to EXCEL format.
  • Storage of a large quantity of invoice cost items and other details.
  • Automation of processing.
  • Quick and easy installation.

What is E-Invoice Recognition miniSCADA?

The Ener-AId E-Invoice Recognition, as part of the File Converter miniSCADA, is an electronic invoice configurator and reader program designed to process and store consumption, cost, and other data in SQL and Big Data databases. The E-Invoice Recognition is a universal technology for efficient processing and storage of data from various sources (in xls, xml, csv, txt formats). With the E-Invoice Recognition miniSCADA, the data on invoices can be displayed in a historical manner, which the program automatically performs after the upload.  

The goals and benefits of using the E-Invoice Recognition SCADA

Goals Benefits
Cheap, fast, convenient processing of energy data Software that can be introduced quickly, cheaply, and with low risk
Support for work related to finance and cost management No human resources required for recording energy consumption and basic data processing.
Time savings in administrative tasks Detectable discrepancies and trends requiring analysis.

Capabilities

  • Possibility to summarize consumption data
  • Processing of electronic utility bills
  • SQL and Big Data storage
  • Export of selected data to Excel
  • Drag & Drop for bulk file uploads

Who is it for?

  • Those who work with large quantities of invoice cost items and other data
  • Those who want to create a database from electronic invoices and use them in other software
  • Those who want to save time and resources
  • Those who want to automate the processing process
  • Those who want to use it as a cloud service or publish it for their clients

File converter SCADA

Convert and integrate files into a Big Data database in just 2 steps

Strengths
  • Robust, reliable, thoroughly tested solution across thousands of industrial applications.
  • Visually striking and fast.
  • The system can be freely modified with SCADA development tools, supplemented with new images, communications, and processing programs as needed; miniSCADA also comes with a built-in online editor.
  • All resources (which, in the case of VISION X10 SCADA, are text files and scripts) are available to the user; all Ener-AId miniSCADA solutions are open-source.
  • All the advanced features found in the most sophisticated SCADA systems are automatically available, including integration with SQL database servers worldwide, communication with almost any industrial device, web technology, Big Data, Cloud database technology, multi-level network management, SNMP, user management, built-in Excel services, automatic updates, Audit Trail, etc.

What is the File Converter SCADA?

The File Converter MiniSCADA serves the processing of provider data, allowing the implementation of data from files (such as Excel files) into a database. In the universal file converter program, individual file types are converted to XBD (X Big Data) or SQL databases using DLL format programs, called converters, depending on the type of database selected in the program.

Goals and Benefits of the File Converter SCADA:

Goals Benefits
Processing various types of data Rapid conversion of files.
Integration of data into databases. Quick installation.
Data export Storage of Big Data

Capabilities

  • Installable in under a minute
  • Fast, automatic, two-step file conversion
  • Drag & drop file upload
  • No need for other database translation systems
  • Compatible with various databases
  • Data storage with up to second accuracy (XBig Data, SQL, etc.)
  • Creation of Big Data databases from client-specific files (xml, csv, pdf, xlsx)
  • Exporting in selected time intervals
  • Customizable export time intervals
  • Event log for logging user activities