What is Industrial Analytics?

We no longer live in an industrial world that’s all about steel and assembly lines. Today Big Data — and the things you can do with it to save your business time and money — rule industry. Learn more

What are Peaxy’s solutions?

Our solutions impact several different parts of the enterprise, saving time in the sales and product development cycles while optimizing service revenues and costs. Click each one to learn more.

Digital Twins

Predictive and CBM Regimes

Data Pipeline

Threaded Find

Digital Twins

Peaxy’s Digital Twin solution updates models and simulations for a serialized piece of equipment or a system with a unique ID. Digital Twins play an extremely important role in industrial analytics. They can correctly predict a successful configuration or prescribe an optimized performance regime over the lifecycle of equipment in the field. Often a Digital Twin compares simulated data to streaming data from the field, creating the foundation for a full-fledged condition-based maintenance solution. It covers every phase of a product’s or system’s lifecycle, from conception, to birth, to its time in the field, to going offline. For more information, see our Digital Twin page.

Predictive and CBM Regimes

Industrial companies are increasingly using real-time sensor data to better plan their maintenance schedules and resource planning. These Condition-Based Maintenance (CBM) regimes rely heavily on data access solutions like Aureum and advanced analytics. Digital Twins feed these CBM regimes real-time data and point the way to an optimized maintenance schedule. Once in place, CBMs help companies maximize the life of equipment, reduce unforeseen costs associated with failure and ultimately gain a competitive advantage.

Peaxy Data Pipeline

Predictive maintenance requires aggregating and organizing real-time sensor data, then performing advanced analytics on that data. Ingesting high-volume real-time data is extremely challenging. Data preparation and transformations in streaming data sets are crucial to proper management of large-scale inbound data. Once the data is reduced and transformed, it’s ready for continuous analytics. Peaxy Data Pipeline helps data scientists prepare data for analytics with a graphical Integrated Development Environment (IDE) to design the data flow. Data is cleaned with built-in data transformations during ingest. Advanced scripting capability with Python, R and Groovy in the pipeline helps make the data flow more efficiently.

That flow is monitored through a metrics dashboard. Anomalies in the sensor data are detected and corrected as needed in the automated data flow. Real-time warning of anomalies and outliers via data introspection, sampling, threshold rules and alerts make the Peaxy Data Pipeline an essential piece of many industrial data solutions.

Threaded Find

Threading helps engineers and subject matter experts to easily find relevant data in an advanced analytics environment. Connecting data that share a common thread is the Holy Grail of industrial analytics. Enterprises must successfully ingest and aggregate data, tagging it with relevant metadata during the process, to implement a sophisticated industrial analytics solution down the road. Digital threading provides a formal framework to access, integrate, transform and analyze data from disparate systems throughout the product lifecycle. Better yet, it translates that data into actionable information. Peaxy’s Threaded Find app, included as part of the Aureum data architecture, is an industrial engineer’s best friend. It enables engineers and scientists to locate the most important simulation data sets to create response surfaces, optimize system designs, and track down the best component designs and contributing factors. This improves day-to-day operations and pushes optimizations beyond what was possible in the past.

Threaded Find’s visual interface allows users to quickly see how files are connected and useful to each other as analytical tools. This functionality can speed service delivery, accelerate development of new products from existing products and uncover opportunities for new revenue streams from data insights.

Without Threaded Find, Engineers often have to resort to “tribal knowledge” rather than any sophisticated system to locate specific simulations or summarized results. They are forced to do extra work to get the data they need, lowering overall productivity. Even with extra work, they lack the complete set of data needed to properly optimize designs and achieve efficiency goals.

Another app in the Threaded Find family is the Peaxy Digital Dossier. This app aggregates and connects all files attached to a serialized piece of industrial equipment or structure. The dossier is updated daily (or hourly) with every file a company collects on that equipment, tracking it from its “birth” when it comes off the assembly line to the day it is taken out of service. Only made possible with Aureum‘s superior data infrastructure, the Dossier reaches into every data set that equipment touches, including simulations and test results, geometry, service records and in-the-field sensor data.

Industrial Analytics Use Cases

Powered by Aureum

Peaxy Aureum® empowers universal access to data, allowing your company to gain control over unstructured and structured data assets and making it easy to find, mine, manage and reuse information across silos, data types, applications and infrastructures (on and off premises). Aureum also serves as an enterprise-scale data substrate that enables sophisticated industrial analytics, such as CBM regimes and Digital Twins. Learn more

Aureum Capabilities

Handling High Scale

The Aureum architecture scales out organically. It decouples the namespace from the data stores, and distributes the namespace across servers, making it fully expandable with parallel access to data while eliminating performance bottlenecks, even for small files. This unique architecture allows customers to grow their storage infrastructure as needs dictate, even to exabyte scale with linear performance.

High Availability

To ensure high availability, the architecture is self-healing. It features remote and local replication to ensure that data is always available. Replication of up to four copies of both data and namespace is supported across servers to ensure data survives even when you lose entire servers (depending on the level of redundancy used). 

The system also ensures data integrity through the use of Cyclic Redundancy Checks (CRCs) for both metadata and data, and can self-heal by retrieving any affected data from a replica server. Use the Asynchronous Replication feature for disaster recovery services through remote replication. Asynchronous Replication is also used to replicate data between sites working at exabyte scale.

Flexible Data Management

Aureum is as easy to use as it is powerful. Virtually anyone can configure the system, keeping information management as close as possible to those who use the data. 

Combining user-defined storage classes with data management policies, Aureum ensures that data resides on the hardware that best fits the requirements. A comprehensive dashboard enables easy configuration by users with appropriate access. This allows enterprises to easily set organizational data policies and storage classes across all data managed by Aureum.

Peaxy® Threaded Find

Peaxy® Threaded Find helps categorize, catalog, parse and thread data on the Aureum platform instantly. The immutable pathname ensures that as the system is scaled out, data is never lost and can be stored for the long term across technology refreshes. 

Threaded Find capabilities are fully integrated with other Aureum data management functions. Aureum's data classes aggregate data sets by project or data type regardless of the file pathname, group or user. Find can utilize data classes to create more useful data catalogs and digital threads. The system indexes data whenever it is created or modified, eliminating the need to periodically crawl the entire infrastructure and improving overall performance and speed. Our technology also enables rich metadata tagging for speedy discovery and retrieval of data.

Security Levels

A three-level security architecture provides strong authentication. Security levels include authentication only, message integrity checking, and encryption. 

The first level uses Kerberos®, X.509 certificates, and HTTPS to ensure that only authorized machines and users can connect to Aureum. 

The second level adds Poly 1305-AES cryptographic message authentication code (MAC) on each data packet to ensure that the contents of a message have not been tampered with or altered. 

The third level provides full 256-bit authenticated encryption on the wire, to protect data across locations.

Advanced Analytics Support and Interoperability

Today’s enterprises are aggregating, mining, and analyzing data to gain insights using the Hadoop open source framework for distributed processing of large datasets. Ingesting and storing data in Aureum provisions the data set with robust data services, including management and availability, search, and security. 

Support for POSIX® and HDFS guarantees a robust, stable, highly available, and high-performance foundation to ingest and store data in Aureum, and to perform computations on it with Hadoop or Spark. 

A fully clustered SAMBA server is integrated with Aureum to allow efficient interoperability with Windows-based clients. This approach provides scalable performance and resiliency against machine failures by distributing the load across virtual machines and providing failover capabilities.

Hardware Agnostic

Aureum is hardware-agnostic and runs on industry-standard commodity hardware to reduce cost of ownership. It is built to run across heterogeneous hardware, so enterprises can mix and match vendors, form factors, hardware generations, and types of storage devices while still offering a single namespace that aggregates all devices.