M2M
Machine to machine
M2M is the platform for real-time data integration from automatic systems (machines or special automations) through standard protocols or custom integrations.
Thanks to the 2EASY.platform Machine 2 Machine middleware, the company is able to interconnect, bidirectionally, all company machinery according to Industry 4.0 paradigms.
Optimize the efficiency of industrial machinery, allowing fast and reliable communication between devices
Monitor and manage industrial resources in real-time, enabling an immediate response to potential failures or critical situations
Activate automated workflows, timely alerts, and integrations with other systems to optimize industrial operations
Key features of M2M
BIDIRECTIONAL COMMUNICATION
Allows the exchange of information between two or more devices or machines. This allows for data collection, processing, and transmission to other devices, facilitating intelligent collaboration between system components.
INTEGRATION FOR INDUSTRIAL AUTOMATION
Facilitates data exchange between different components, creating an efficient industrial automation system. It facilitates interfacing with PLCs (Siemens, Rockwell, etc.), intelligent devices using protocols like MQTT, and dedicated electronic devices.
IMPLEMENTATION OF SPECIFIC PROTOCOLS
Supports the implementation of specific protocols, including those with printers, time clocks, and attendance controls. This allows adaptation to the company's specific needs and facilitates communication and automation of industrial processes.
PLANNING AND OPTIMIZATION OF INDUSTRIAL PROCESSES
Enables the planning and optimization of industrial processes through real-time data communication between devices and machines. This allows for monitoring, control, and optimization of processes to improve efficiency and productivity.
ENABLING INDUSTRY 4.0
Creates a seamless and continuous interface between different elements of the system, allowing information exchange and intelligent collaboration among them.
REMOTE PERFORMANCE MONITORING
Enables remote monitoring of device and machine performance, providing real-time data on performance and operational status. This helps identify and promptly resolve any issues or malfunctions.