The integrated digital platform
for predictive maintenance
SYENMAINT® Platform is an innovative technology for the monitoring and diagnostics of assets in various industrial sectors. A system of integrated smart sensors continuously detects large amounts of data that are processed and analyzed using proprietary algorithms, machine learning systems and artificial intelligence to carry out preventive diagnoses and prepare maintenance plans. In this way, the life cycle of assets can be optimized by reducing costs, improving the reliability and quality of service (business intelligence).
- Fault prediction and dynamic management of maintenance plans
- Increase in the productivity of plants and infrastructures
- Reduction of maintenance costs
- Reduction of security risks
- Increased operational life of the plants
- Remote monitoring and diagnostics
- Optimized management of maintenance interventions
- Integrated management of inventory, warehouse, personnel and equipment
- Management of interconnections
SYENMAINT Platform
Layer 1: Sensors
(IoE, IoT, IIoT, Wireless Sensors Networks, Cyber Physical Systems, Energy Harvesting Modules)
Layer 2: Hardware
(Embedded Computing, Storage Module, Transmission Unit)
Layer 3: Firmware
(Condition Based Monitoring, Predictive Diagnostics, Machine learning & Artificial intelligence, Big Data & Data Analytics, Decision Support System)
Layer 4: Software
(MES, ERP, EAM, Augmented Reality, BlockChain, BIM)
Competitive advantages
The SYENMAINT Platform technology manages the asset monitoring activities in an integrated way, ensuring lower costs, more efficiency, more safety, more quality of service, more reliability
Smart detection
In real time the operating data of the devices under test through a system of smart sensors
Calculation and discovery
Through distributed hardware components, the operating status of the device under test
Check and comparison
Through Machine Learning, Artificial Intelligence and Big Data Analytics systems
Alerts and management
Detects malfunctions and defines the procedures to be adopted for the maintenance intervention
