and legacy systems
and optimize production
by recording and evaluating
Sustainability is arguably the most important challenge facing society and the economy. The manufacturing industry has a powerful tool at its disposal for sustainable, CO2-neutral production: data-driven manufacturing. It makes it possible to successfully manage the strategic core task of sustainability. With data-driven manufacturing, energy consumption or CO2 emissions can be monitored and reduced. The basis is the digital networking of each individual production line.
Connect machines efficiently
Thanks to modern plug-in architecture, connecting to machines is done in just a few steps. The plug-ins ensure that communication with the most common machine controllers and communication protocols works without any problems. The user interfaces are designed so that the user can connect the machine to the infrastructure easily and concisely in just a few steps. Select the appropriate plug-in, enter the machine master data, configure the network connection, and set the machine signals; the setup is complete. These simple steps lay the foundation for successful data-driven manufacturing
Increase productivity and efficiency with Smart Data
Smart Data ensures that machine data is collected, interpreted, and transformed into interpretable information. The machine statuses, status reports, and warning and quantity messages delivered to production ensure that production increases significantly.
Minimize energy consumption and carbon footprint
Operating and energy data serve as the basis for energy monitoring. Additional systems ensure that consumption is monitored and optimized. This ensures that resources are optimally deployed and effectively used. Corresponding key figures are also available for sustainability reports.
Integration of current and future solutions
Open interfaces enable the integration of today’s solutions and future applications. Manufacturing companies can integrate new and relevant systems and thus remain flexible.
Wide range of communication protocol support
Customers comments about the FORCAM FORCE EDGE
News from our blog
Digitizing machines – Transmit signals
There are two technical options for supplying signals and events from an edge node to a 3rd party application. HTTP/REST and MQTT With HTTP/REST, any REST endpoint provided there can…
Digitizing Machines – Event configuration
The event configuration defines how the signals are sent to a higher-level system. Payload and endpoint are predefined by default, but can be…
Digitizing machines – Add machine
Select “Show Details” for the node to which you want to add a new machine. To add a new machine, we click Add Machine. A dialog for adding a machine…
Connectivity & Model
For effortless elimination of strategic challenges in manufacturing, the Edge solution of FORCAM’s software offers the possibility of reading any type of machine signal and converting it into the desired form. The in-house plug-ins form the actual core of FORCAM FORCE EDGE for the most common control systems. The plug-ins allow direct connection and derive logical states from machine data and convert them into a standardized event form. MES and IT systems, such as SAP DMC/ME/MII, require these events to create process interactions (e.g., process assurance through sensor data validation).
The novel Machine Repository accelerates the rollout of digitization projects in production. This is achieved through an innovative template approach, reducing the time required for machine connection from hours to minutes. Standard templates for all common machines are included right from the start. New templates for machine connections can be derived from existing connections or newly defined. The knowledge from existing machine connections is thus available quickly and standardized in all factory networks of a company. These benefit from a growing library for the smooth networking of similar machine types.
FORCAM’s Data Lake effortlessly captures and stores both unstructured and structured data. Data stored in the Data Lake includes the signal level, event level, configuration changes, write operations, or transferred NC files. The resulting and stored data is a digital duplicate of the production, machine, or control. The EDGE API makes this data available to AI algorithms, visualization tools, and machine learning. Computationally intensive Big Data analytics evaluate the stored raw data. As a result, production can be significantly optimized.
The machines on the factory floor of companies speak numerous, different protocols. New applications such as SAP DMC often only support the current OPC UA standard. Retrofitting machines or controllers with OPC UA is expensive and time-consuming. Other protocols are often no longer supported. FORCAM FORCE EDGE ensures that the different OPC UA protocols are interconnected.