For a Smart factory, it is vital to monitor machines and processes in real time as well as ensure optimal performance to improve production. Increased visibility and better insights on the health of the machine is also critical in order to detect anomalies and fix issues proactively.
WebNMS Industrial IoT solution helps factories & process industries to increase overall equipment productivity and efficiency through Connecting equipment through EdgeX gateways, real-time data visibility, deep manufacturing analytics, and predictive/prescriptive alerts.
"For Instance, every machine is engineered to operate within certain temperature, noise and vibration ranges. When the machine performances deviate from the prescribed ranges, proactive monitoring and predictive alerts can aid in preventing malfunctions. If critical equipment fails, operations will quickly fall behind and miss on-time delivery, leading to delayed projects and cost overruns. "
In the context of the fourth industrial revolution, dubbed Industry 4.0, the Industrial Internet of Things (IIoT) brings together machines and processes, advanced analytics and people to monitor, collect, exchange, and analyze real-time sensor data to deliver meaningful insights.
WebNMS IIoT solution powered by WebNMS IoT platform can help improve overall equipment effectiveness (OEE), minimize equipment failure, improve shop floor efficiency, and enable proactive maintenance to reduce or eliminate downtime.
WebNMS offers Seamless connectivity through a comprehensive list of supported industry standards and native client interfaces like
OPC - UA, MTConnect, Modbus RTU, ModbusTCP, Profibus/Profinet, Ethernet/IP,
IIoT gateways, PLC, HMI, DCS, SCADA, Energy meters, Drives and Sensors (Vibration, Temperature, Presssure, Noise etc.).
Mitsubishi, Schnider, Siemens, ABB, Fanuc, Delta, Allen-Bradely, opto22, etc.
Automotive, Machinery, Healthcare, Oil & Gas, Food & Beverage.
Our IIoT solutions deliver unprecedented visibility on Asset-wise/Shop-wise/Building-wise energy usage, asset/machine performance, production/assembly line monitoring and analytical insights in the industrial contexts by utilizing the WebNMS IoT Platform capabilities in real-time data acquisition, processing and machine learning.
Seamless Connectivity & Data Acquisition
Production Line / Factory Wide Performance Insights
Smart Alerts and Notifications
Intuitive Data Visualization & Reporting
Condition Monitoring & Predictive Maintenance
Machine Learning & Analytics
The solution enables seamless connectivity with existing device infrastructure (even the legacy systems) in a factory and supports multiple industrial protocols. For e.g., the solution can connect with Multi-branded IIoT gateways, Programmable logic controls (PLC), Human Machine interfaces (HMI), Distributed Control Systems (DCS) and SCADA/MES systems. It supports protocols such as MODBUS, OPC, PROFIBUS for edge to gateway connectivity and HTTP/HTTPS, MQTT/MQTTS for gateway to cloud connectivity. Thus, solving the problem of interoperability and machine-to-machine communication.
The solution enables systematic acquisition of raw data directly from the production level in real time. It makes it more than easy to acquire operational & production data from machineries/plants and directly push it to the server for further analysis and reporting. Data surrounding Factory & Building environment, Energy usage, Production Batches & Processes, Production Cycle, Working Hours, Asset Performance and Utilization, Asset Rating, Downtime, Maintenance Schedules, Product Quality, etc. can be acquired from multiple data sources. Instead of sending bunch of data to the cloud, our WebNMS EdgeX edge-computing capability allows localized actions and data filtering for refined & relevant data transfer for analytics.
Using the acquired data, the solution enables factories to gain visibility and actionable insights on every machine, line, and plant throughout a manufacturing enterprise. It provides the service managers and technicians with the ability to gain insight into equipment's health with real-time and historical condition monitoring. It alerts with colour coded severity on any anomalies and also notifies on machine maintenance due thereby enabling Preventative maintenance. It also identifies bottlenecks using deep analytics provided by performance reports such as OEE, cycle analysis, machine utilization, and downtime history that enables production managers to create value from the digitization of data.
Plant Performance Monitoring (Production, Power System, Utility (Vacuum, Compressed Air, Steam, Water, Fire System), Quality Work Processes, Warehouse & Inventory)
Machine Monitoring (Assembly Machines, Primary & Secondary Packaging Machines)
Monitor Machine Parameters - Production Count, Speed, MTBF, MTRR, Equipment Efficiency, Planned & Unplanned Downtime
Process Monitoring (Process Performance, Sensors & Instruments)
Monitor Process Parameters - Current, Voltage, Temperature, Radiation, Power Factor, Weight, Pressure
SCADA or Third party systems (Energy Meters, Inverters, Current String Meters, Environment Sensors)
Optimizing machine utilization
Predicting and preventing failures
Optimizing maintenance cycles
On-time alerting on any anomalies
Improving machine performance
Increasing asset life cycle
Reducing maintenance costs
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