We have already spoken about the project for Rusagro agricultural holding to monitor sugar beets state and storage conditions. This AggreGate platform based solution provides the company with a complete real-time picture of all the processes in the field to optimize and coordinate machinery operation, reduce raw material losses by 20% and ensure productivity and profit growth.Read more
We love our main product so much, that we want to tell you more about it. That's why from now on we start a series of posts dedicated to AggreGate technologies.Read more
Continuous equipment operation and unplanned downtime reduction are the key to business success of any industrial enterprise. Today this is achieved by implementing predictive diagnostics and maintenance. Fail prediction enables timely repairs, ensures the whole process continuity and the most effective operating mode of the equipment. As part of our Use Cases insight here we want to share our success in sugar plant monitoring system deployment (Rusagro company group).Read more
Another great day in May was marked for Tibbo Systems by its successful debut at Moxa IIoT Solution Partner Forum in Seoul. The company illustrated to the forum participants what can be done if you combine the modular IoT platform with the equipment by the world leader with a 30 year experience in industrial automation systems.Read More
Tibbo Systems and Moxa signed a memorandum of understanding in April 2019. How can our customers and business partners benefit from this partnership?
Moxa Inc. is one of the world leading developers and manufacturers of Edge connectivity, industrial computing, and network infrastructure solutions for industrial control systems with over 30 years of experience in various industries and enable the connectivity for the Industrial Internet of Things.Read More
In version 5.6, the AggreGate platform has become even more user-friendly and web-oriented.
AggreGate Store is our new approach to deployment of AggreGate servers in your network. Now you can distribute your own AggreGate applications for the use in your corporate network or on public access. Download and plug in only the modules and solutions that are required for your project. Add them when necessary as your project grows. Optimize your system resources.
Flexible device driver acts as a "driver construction kit". It allows to connect devices that use proprietary protocols by performing deep configuration of the system. It eliminates the need for development of a dedicated device driver in the Java programming language.
Welcome a new analytics tool in the AggreGate toolbox – the event correlator – a powerful streaming data processing engine! The correlator is designed for real-time data analyzing and processing, finding specific patterns, identifying trends and much more.
AggreGate web interface is given the ability to function autonomously, being managed by the Tomcat web server. A web application that is deployed separately is not bound to a specific server but can connect to any other server.
The license checking process can now be centralized and automated by the integration with a license server. AggreGate server administrators no longer need to monitor and manually modify the validity period of plugins included in a license.
Other major improvements include:
- New Data Table types
- Memory Watchdog
- Self Monitoring Dashboard
- Storage Upgrade
- Deeper Permission Control
- UI Customization
- Scaling in UI Builder
- Avatar Driver for allows working with another server’s devices as if they were available locally, etc.
Please check detailed information on the new 5.6 release, download AggreGate IoT Platform and let us know how it works for you!
One of the main improvements in the IoT AggreGate Platform 5.5 release was machine learning, which gave data processing professionals a chance to extract required knowledge while analyzing time series streams and large data sets.
And more recently, we have added several algorithms allowing you to create trainable units with an option of online learning.
Such trainable units have two important features. The first is ability to train on a data set that is too large to fit into memory. The second is ability to update with new data that wasn’t available during initial learning.
In other words, a trainable unit can be trained on available data, used for predictions, and get updated as soon as new data arrives, which will improve the quality of further predictions.
Importantly, the trainable unit in this case is not trained from scratch, but updated, modifying its existing state with new training data set.
The plus point is that it takes significantly less time to complete online learning than would be needed for learning from scratch.
From this moment on, Tibbo Systems employs in-house corporate CRM system based on our AggreGate IoT Platform. At the system core, there is our new Classes module, i.e. relational or graph data storage access interface. We used Classes to model typical CRM objects (Accounts, Contacts, Leads, Opportunities, Agreements, etc.) and their relations.
In addition to default CRM features, the solution comes with document flow module (migrated from SharePoint). The shift to AggreGate CRM system allowed to reduce costs and integrate the solution with other corporate systems for full-fledged and well-timed access to business data.
We love Dynamics CRM but it's time to say bye since our own baby grew up. The whole CRM implementation project took 4 months of single person's labor time including data migration.