Introduction
We often say we should embrace the Industrial Internet of Things (IIoT) to achieve the macro goal of connectivity. In reality, the micro value is what we truly need: the IIoT itself is not the end goal; rather, the ultimate mission is to collect data from various production and operational processes and conduct effective analysis and decision-making to maximize commercial value.
Today, many companies have a basic understanding of IoT applications, but they sometimes lack the specialized skills for independent application. Although they have taken the first step in collecting and storing data, this data is often not utilized effectively. The information collected can only achieve measurable benefits through logical connections and evaluations.
What to do about this??
To address the above issues, Weidmüller has provided effective methods to make it easier for a wide range of IIoT customers to get started: the Weidmüller Smart Industrial IoT Solutions can generate additional value for operations and services using data. From data collection and preprocessing to data communication and analysis, Weidmüller offers a comprehensive product portfolio from sensors to the cloud and develops solutions tailored to customer needs, enabling customers to create new digital devices or digitally transform existing equipment.
01
Building a Strong Foundation for Digital Value-Added Services
Traditional industrial automation data collection is often limited to the production quality inspection phase, while Weidmüller enables customers to obtain data in a more reliable manner, grasping valuable data and information in greenfield and brownfield applications. There are significant differences between greenfield and brownfield projects. Greenfield projects involve building fully digital machines/equipment, whereas brownfield projects involve groups of machines/equipment that are not yet compatible with the IIoT. The latter currently applies to most installed users. Therefore, the digital transformation of today’s machines and equipment aligns with the fundamental interests of customers. Weidmüller does not intervene in installed automation technologies but instead establishes parallel architectures.
Customer digital data can be obtained through interfaces connected to multiple controllers and machines, with sensor data acquired by the I/O system u-remote (IP20 and IP67). Additionally, energy data and process information can be obtained through energy meters or PROtop power supplies. Using analog signal converters can capture and replicate analog signals.
02
Intelligent Initial Assessment Capability for Data Preprocessing
Through intelligent computing technologies such as cloud computing, cloud storage, fuzzy recognition, and neural networks, as well as cutting-edge IoT technologies, Weidmüller can locally preprocess data, performing initial screening of massive amounts of data and information on-site to form preliminary insights, thereby reducing data flow and costs.
Data can be preprocessed using a unified network engineering tool software for preprocessing and visualization, and the IoT gateway with mobile interfaces for industrial IoT solutions integrates high performance into compact IPC using Intel® Core™ i3, i5, and i7 processors.
03
Data Communication as an Important Step for Data Resolution
If data collection and preprocessing are the “foundation” of the IIoT, then reliable communication technology is the important “step” for building the upper structure and advancing data resolution. Weidmüller can reliably transmit data through network infrastructure, providing high-value information from devices to IT systems.
Not only can it perform cross-network communication with high security levels via secure routers, but it can also efficiently connect with a wide range of network devices through controlled and uncontrolled switches, and establish wireless network connections for mobile terminal devices through industrial WLAN.
04
Creating Added Value Through Data Analysis
Diving deep into data value, data analysis is an indispensable step. Data-driven digital services are Weidmüller’s ideal intention and practice principle, helping customers gain tangible added value in applications.
Through cloud platforms, personalized services independent of the platform can be achieved for specific applications, consolidating and analyzing resource and energy usage with ideal resource management methods. More importantly, customers can develop new business models based on artificial intelligence technology, gaining substantial added value from industrial analytics without requiring extensive IT knowledge, and further enhancing data value through remote access to u-link for global quick services.
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