PARCserver
Process Data Historian Software
Collect data from across the plant with our high-speed process data historian software. Display data from different sources on a single trend for troubleshooting & analysis.
High-Speed Time Series Data Storage
PARCserver’s data collectors utilize “store and forward” technology to buffer data, ensuring maximum integrity. Utilize hundreds of OPC and custom servers to interface with your automation layer.
Standard Implementation
dataPARC’s operational historian collects & records high-frequency data from all the automation & control systems in your plant.
Enterprise Implementation
Integrate dataPARC’s enterprise data historian in multi-site operations.
Dive Into The Data
dataPARC’s process historian is designed to optimize large amounts of data for high-speed real-time analytics performance. Connect all your systems data at a single site, or aggregate data across multiple sites for enterprise-wide visibility.
- Combine IT & operations data for better visibility.
- Collect PLC & control data.
- Connect to standard SQL databases for lab & quality data.
- Integrate IT data from MES, etc.
- Share data between sites easily.
Flexible Enterprise Architecture
Make all data perform like it’s local. dataPARC’s process data historian is designed for increased performance and reduced data and administration costs.
Smart Data Aggregation
PARCserver leverages machine learning to automatically roll-up or compress data based on usage, freeing up critical disk space.
Minimize Bandwidth on WAN
Reduce network load by offering higher-performance, low-bandwidth data to corporate users until higher-resolution site-level data is requested.
Smaller Corporate Footprint
Provide optimized, high-performance data for enterprise access, reducing the need for costly hardware infrastructure at corporate HQ.
Rapid Remote Access
Quickly view optimized aggregate data at corporate & remote sites, while maintaining instant access to lossless, high-res production data.
Auto Archiving
PARCserver povides instant online access to 100% of your historical data while also automatically archiving older (5-10 years) data to less expensive storage drives.
Scale Tags at Lower Cost
Get an Enterprise-class historian at a fraction of the cost. PARCserver is a cost-competitive process data historian suitable for all systems.
Push Processed Data Anywhere
Analyze, filter, & generate modeled values from your data with dataPARC, then use our single-point API to push the processed data to your current IT, OT, or business intelligence applications.
“We consume nearly a dozen external data sources that help us enrich our data: weather data, power data, pricing data… dataPARC allows us to get more value of what we already have.”
Tyler Fedun, Manager IT Operations – Energy Transfer
Video Tour
Kapstone Paper
The global containerboard market is highly competitive, making process optimization essential to a paper mill’s survival. KapStone’s technical team turned to dataPARC to help them centerline their process, identify golden runs, and reduce costs.
Powering Practical Analytics Solutions for 25+ Years
We were trying to optimize the largest facility in our company and PARCview allowed us to overlay data – both lab and process – to break down perceptive barriers and make data-driven decisions.
Stan Case
Plant Manager – Amalgamated Sugar
Our investment in dataPARC is allowing us to focus on system optimization as we leverage the data we are now capturing.
Tyler Fedun
Manager IT Operations – Energy Transfer
We make a lot of different different grades of paper. In order to maximize the dollars for each run, we use dataPARC’s centerline tool to find ‘golden runs’ and those become our target each time we run a grade.
Pami Singh
Director Process Optimization
The World’s Largest Manufacturers Depend on dataPARC
Related Solutions
Tackle common manufacturing challenges with PARCview’s out-of-the box functionality.
Data Integration
Establish a single source of truth for all your manufacturing data. Historian, ERP, MES, lab, & more.
Quality Control
Real-time quality control tools for continuous or batch manufacturing processes.
Additional Features
dataPARC is a flexible industrial analytics toolkit built upon the promise of easy data acquisition & integration. dataPARC’s core building blocks can be used to build any applications to meet your needs.
Real-Time Trending
Widely considered the best process trending application available, PARCview provides a combination of powerful features and ease of use to help troubleshoot and analyze data. drag & drop, dragging time-axis, time syncing of multi-trends, multi-trend templates.
Dashboards & HMI Displays
Create high-performance HMIs and enterprise dashboards to display your data. Create animated displays by associating object properties (size, color, background, foreground) with tag values. import existing dashboard graphics from PI, IP.21, and more.
Dynamic Alarms & Notifications
Use dataPARC’s rule-based alarm engine to build smart alarm definitions that reliably detect compliance events, including data loss, real time, and aggregate exceedance of regulation limits. Forward alarm event data to PARCview’s Logbook, and send notifications via email or SMS.
Manual Data Entry Tools
PARCgraphics Designer’s form-based MDE tools offer a platform for constructing custom data entry screens. Enter data against a record from anywhere within the dataPARC environment, across multiple MDE pages, PCs, and locations.
Batch Analysis Tools
Arrange multiple batches by product into a comparison or consecutive view. Search for historical batches based on identifying information, such as batch ID or product label. Determine variability at any point in the batch using Run Trend analysis.
Control Charts
Build control charts (x-bar, range, standard deviation, etc.) from existing sources or PARCview formulas. Define simple min/max limits, choose from Western Electric Rules or custom logic. Limits can be managed natively in dataPARC or imported from a 3rd party database.
Want to Learn More?
Download the datasheet to learn more about dataPARC’s operational data historian.
