IIoT & Industry 4.0

INDUSTRIAL IOT (IIOT) – DIGITIZE YOUR PRODUCTION!

Each company may have its own vision of Industry 4.0 or Industrial IoT. Ultimately, however, everything comes down to one objective: production in lot sizes of 1 at the unit cost of mass production. The idea that, in future, workpieces will independently seek their way through automated production lines is no longer utopian.

This development is driven by digitization. It opens up new potential for continuous productivity increases in sales, service, planning, purchasing, construction, production, warehousing and logistics. The prerequisite for this is close networking between these areas, down to full automation of cross-departmental processes. But that’s not all. It is often useful to integrate external stakeholders more deeply into the manufacturing processes.

SQL Projekt AG is a reliable partner for all companies that want to meet these challenges and shape the digital transformation. TRANSCONNECT® IIoT will help you to consistently implement the full digitization of your production processes. You will free your resources for use in product and service innovations. Your company will be better equipped to respond to environmental factors, such as shortage of skilled employees or rising energy costs, and your competitiveness will increase.

SQL Projekt AG has identified three major challenges for companies.

Data:
THE MOST VALUABLE RAW MATERIAL OF THE 21ST CENTURY

Data is the most valuable raw material of the 21st century – one that businesses in all sectors depend on. A consistent data management strategy is required, if the rapidly increasing amount of stock, transaction, measurement and historical data is to be managed effortlessly and used efficiently. It specifies the technological and organizational prerequisites for opening up new potentials in value creation.
Consolidated machine data that has been recorded in real time can be used to promptly identify and rectify deviations. Troubleshooting is made easier if this data is supplemented with data from other systems. The use of machine learning / deep learning and other forms of so-called artificial intelligence can help to predict deviations or set values (predictive maintenance, delivery dates, etc.) Recommendations for action are then no longer derived from individual assessments, but specifically from data-based simulations.

Integration:
NETWORK SYSTEMS TO GAIN NEW KNOWLEDGE

Having a set of data does not automatically mean gaining knowledge. New insights often only arise through enrichment; for example, through merging data that comes from different systems. In the interest of product life cycle, workflows that have already been mapped in separate IT systems can also be merged. It is possible to fully automate some of them.
Data integration constitutes the first level of integration. Stock, transaction, measurement data etc. is collected from various systems, merged, and stored (ELT/ETL). This can be done in real time and/or time-controlled.
As the next step, the integration system (TRANSCONNECT®) detects specified states in the processed data streams, and triggers corresponding events (alarms, detail measurements, recharge, etc.) This process often makes use of rules. Whenever suitable rules cannot be clearly predicted, machine-learning and deep-learning algorithms come into play.
If transfers between separate IT systems are automated, based on rules, by means of integration, this process is called application integration. To this day, and in many companies, a lot of monotonous, repetitive tasks are still done manually. Application integration could make them considerably more efficient.
In process integration, processes are led by integration software (TRANSCONNECT®). At this level, end-to-end processes between companies (product life cycle) can be set and controlled centrally.

Plant Lifecycle Management:
INTEGRATED PLANNING FOR MANUFACTURING AND MAINTENANCE

The use of maintenance software is not yet standard in manufacturing companies. Yet, it offers two crucial advantages.
Planned maintenance intervals increasingly collide with production orders as machine utilization increases. Integrating the IT systems of production planning and maintenance planning facilitates smooth coordination of production and maintenance. If historical maintenance data is combined with machine data and/or tool data, maintenance cycles can be even better adapted to the production planning.
If production is equipped with sensor technology and supplementary IT systems, the probability of failure of the overall system increases statistically as a result of more components being present. Integrating IIoT components into the maintenance processes thus becomes essential. The surge in the number of critical system components can only be managed by using professional and integrated maintenance software.

TRANSCONNECT® IIoT:
THE FLEXIBLE BASE FOR YOUR DIGITIZATION PROJECTS

The development of TRANSCONNECT® IIoT is based on 20 years of experience in project work for well-known industrial customers. With the robust integration software, your company will be well prepared for all upcoming requirements; for example, for the integration of production IT and planning IT (shop floor and top floor). You can make a decision whether to integrate cloud services, or to process everything in your own IT centre. Flexibility is our top principle. This also applies to our pricing. Our prices are adapted to the degree of digitisation in your company.

Contact us

TRANSCONNECT®
HEAD OF DEVELOPMENT

Torsten Uhr

Torsten Uhr

SQL PROJEKT AG

EXECUTIVE BOARD
SQL PROJEKT AG

Stefan Ehrlich

Stefan Ehrlich

SQL PROJEKT AG