Data Connectivity & Integrations
"Uniting information, unleashing insights, and propelling organizations towards smarter decision-making and limitless potential."
INTRODUCTION
In the current economic climate, data is the primary currency with which all businesses operate. However, data must be gathered from a variety of sources. It is also available in a variety of formats. Such a diverse set of data may not be useful for data analytics unless it is first integrated. Data integration technologies bring together data from various sources, such as sensors, field devices, and other IoT industrial devices, and present it in a unified format. Data integration not only improves data quality, but it also makes data migration and data transformation more efficient. This process compares various data formats, removes duplicates, cleans data based on predefined conditions, and converts data to a predetermined format.
Technologies in our data integration services/solutions:
OPC
OPC, or Open Platform Communications, is a popular and widely used standard that allows industrial assets and software applications to communicate with one another. Access to industrial assets, machines, devices, and other systems in the industrial environment is standardized with OPC, allowing for similar and manufacturer-independent data.
Industry Protocols
Industry communication protocols are the language used by industrial assets to communicate with one another and with the systems above them. Given the numerous suppliers of industrial systems, there are a plethora of communication protocols that create silos in the OT layer. We are familiar with and have experience with almost all popular industrial protocols, as well as the ability to implement proprietary protocols.
Device Integration
The integration of field devices with other hardware and software systems is referred to as device integration. The FDT and FCG standards are device integration technologies that enable standardized sensor-to-cloud and enterprise-wide integration. These technologies enable devices to communicate, interact, and interoperate as the most widely adopted standards for asset integration in process and factory automation systems.
Why Data Connectivity Solutions are Required for Industries?
Low data quality, insufficient data, data disparity and communication gaps are the biggest challenges faced by OEMs, system integrators, and end users. As a result, the production process may stop because of the inability of the technicians and operators to identify the root cause of the machine malfunction leading to huge production downtime, which in turn can affect your bottom line. The other challenge is sporadic and irregular maintenance and service of the equipments and machines due to the continued focus on meeting production goals. Setting up an effective data integration system can overcome all these challenges.
OEMs and system integrators can use OPC and Device Integration technologies to enable seamless data connectivity and data integration between the plant floor and enterprise applications. A critical outcome of data connectivity and data integration is real-time access to hidden and timely insights on industrial processes. This is a step in the right direction towards industrial automation.
Data Integration Services Provided by Technologics Global
We provide tailored data integration services based on your company's needs and objectives. We provide the following services:
Why Technologics Global
Technologics Global is a Product Engineering and Industrial Solutions Company that specializes in providing intelligent automation solutions to businesses based on their business processes and models. Technolo provides data connectivity solutions that enable users to manage software applications and devices by utilizing data integration solutions. To ensure data transfer is encrypted, authenticated, and secure, we use industry protocols such as Profibus, Ethernet/IP, FF, HART, and several others, as well as custom protocols.
Our data integration services enable companies to
- Collect data from different sources and in different formats
- Build a scalable IIoT architecture
- Make informed decision based on reliable data
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