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Description
DataPortia represents a sophisticated on-premises solution for industrial data acquisition and reporting, equipped with integrated AI analytics capabilities. It seamlessly interfaces with various automation systems through the OPC UA protocol, compatible with brands such as Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, and Rockwell, allowing it to gather over 2000 measurement points each second while archiving time-series data in PostgreSQL or TimescaleDB.
Notable attributes include:
- Dynamic real-time dashboards featuring gauges, charts, bar graphs, and tables for comprehensive data visualization.
- Interactive trend analysis utilizing ECharts for visualization, enhanced with a drag-to-zoom function for user convenience.
- Detailed reporting capabilities, with options for exporting data in CSV and PDF formats.
- The ability to schedule automated reports on a daily, weekly, monthly, or custom basis to streamline operations.
- AI-driven data analytics, powered by a local Ollama LLM, enabling insights into anomalies, forecasts, cost optimization, and tailored reports, all without reliance on cloud services.
- Management of OPC UA alarms and conditions, accompanied by analytical tools and options for data export.
- Facilitation of reading OPC UA history directly from the server's historian for efficient data retrieval.
- Support for calculation circuits, including both cumulative and non-cumulative formulas to meet diverse analytical needs.
- Features for transferring, copying, and merging tags between connections, enhancing flexibility in data management.
- A robust TimescaleDB time-series database for optimized data storage and retrieval, ensuring efficient handling of extensive datasets.
This comprehensive suite of features positions DataPort
Description
TimesFM-3 represents an advanced time series foundation model that excels in highly precise multivariate forecasting with a single forward pass. This model, which consists of 330 million parameters, has undergone pre-training on a vast corpus of real-world and synthetic time series data, totaling over 1 trillion time points, thereby enhancing the effectiveness and zero-shot generalization capabilities seen in previous TimesFM iterations. It is adept at simultaneously predicting numerous coevolving time series and understanding dependencies that bolster accuracy without the need for task-specific fine-tuning. Furthermore, it accommodates multiple forecasting targets, including both point and quantile predictions, and incorporates past covariates that are only available historically, alongside dynamic covariates that pertain to future events such as planned promotions, holidays, or weather changes. Utilizing a decoder-only transformer architecture, TimesFM-3 processes sequential data in segments of 32 time steps, employing alternating causal temporal attention and full variate attention to integrate patterns across both time and interrelated series effectively. As a result, it provides a robust tool for forecasting complex time-dependent phenomena in various applications.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AADvance Control System
Yes
ABB Ability System 800xA
Yes
AVEVA InTouch HMI
Yes
CitectHMI
Yes
SIMATIC HMI
Yes
SIMATIC PCS 7
Yes
SIMATIC PCS neo
Yes
SIMATIC SCADA
Yes
SIMATIC STEP 7
Yes
SIMATIC WinCC
Yes
Integrations
AADvance Control System
No
ABB Ability System 800xA
No
AVEVA InTouch HMI
No
CitectHMI
No
SIMATIC HMI
No
SIMATIC PCS 7
No
SIMATIC PCS neo
No
SIMATIC SCADA
No
SIMATIC STEP 7
No
SIMATIC WinCC
No
Pricing Details
4000€/one-time
Perpetual licensed.
Price will scale by the number of OPC UA connections.
Price will scale by the number of OPC UA connections.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Atorcom
Founded
2018
Country
Finland
Website
atorcom.fi/en/dataportia
Vendor Details
Company Name
Founded
1998
Country
United States
Website
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/
