Smart Factory with IOT Orchestration Platform
The Powua IoT Orchestration platform enables real-time data acquisition from heterogeneous devices, integrates PLC (Programmable Logic Controller) and intelligent sensor data, and can be connected to external data sources such as SCADA, ERP, and CMMS. Additional non-intrusive sensors can be introduced to expand data collection. The data is extracted securely using the most common protocols in industry and transport the protocol used in your plant.
Powua is the only solution that directs preventive maintenance needs on condition and predictive; aggregates the information collected for control purposes and allows you to set alarms based on intervention and maintenance needs. In addition, it uses machine learning to perform condition analyzes and prognostic analyzes without requiring huge resources or a team of experts. Driven by Industry 4.0 / Industrial Internet of Things (IIoT), industrial operations are increasingly autonomous. The factories combine numerous sensors that provide real-time data on the status of production and machinery to optimize operations. Smart sensors are also increasingly used to control roads, cities, strategic infrastructure, transport, and smart vehicles. Powua is the only solution that offers scalable predictive monitoring and analytics, adapting to any IoT scenario.
Benefits
ABSTRACTION AND INDEPENDENCE FROM THE IoT SYSTEM
Independence from sensors and specific communication protocols. Powua complies with the main communication protocols adopted for IoT, smart sensors, industrial machines, and transport. Extensive support for custom implementation.
DATA VISUALIZATION WEB TOOLS
Dashboard and operational reports, advanced analytics functions with AI algorithms integrated into a single solution to prevent problems and optimize costs.
SCALABILITY AND ADAPTABILITY
High adaptability of metering and monitoring modules that allows scalability and customization. The Selective Metering on the acquired data and the normalization of the data coming from heterogeneous systems can be integrated and adapted to the existing plants. The detection component, Powua Edge Gateway, is based on Java and can be installed on any platform that supports this technology.
DYNAMIC RULES AND WORKFLOW
Powua integrates a workflow engine based on real-time measurements and events to implement processes and manage interventions more efficiently.
ACCESSIBILITY AND AVAILABILITY
PaaS and On-Premise cloud models are fully supported: the entire system is made up of modules available as services or installed on-premise even on a virtualized environment to ensure the highest level of flexibility in terms of management and distribution. Centralization of data and information for ease of use and access.
PROGRAMMING INTERFACES
Comprehensive and intuitive APIs for effective integration with existing systems or to create extensions.
Modules
PORTAL
✓ Single portal to access software and services.
✓ End users can be enabled to view only the information they need, also accessible via cloud.
✓ Fully configurable to provide diversified services.
✓ Security features and user profiling.
✓ Single point of access and authentication (SSO, OAuth2).
✓ Complete management of activated services: variation and sharing with other users.
✓ Integrated with support and maintenance systems, which can be integrated with the solutions already present in the company.
✓ End users can be enabled to view only the information they need, also accessible via cloud.
✓ Fully configurable to provide diversified services.
✓ Security features and user profiling.
✓ Single point of access and authentication (SSO, OAuth2).
✓ Complete management of activated services: variation and sharing with other users.
✓ Integrated with support and maintenance systems, which can be integrated with the solutions already present in the company.
PROVISIONING
✓ Provisioning and configuration process for sensors, gateways, IPCs, and smart devices that interface with the resources to be monitored/measured.
✓ Integrates a self-provisioning system for edge gateways that provide data detection from the IoT system.
✓ Allows the definition of the measures that have to be taken.
✓ It allows you to associate metadata to managed resources and to represent the entire IoT infrastructure on a map.
✓ Configurable and manageable by the user.
✓ Integrates a self-provisioning system for edge gateways that provide data detection from the IoT system.
✓ Allows the definition of the measures that have to be taken.
✓ It allows you to associate metadata to managed resources and to represent the entire IoT infrastructure on a map.
✓ Configurable and manageable by the user.
METERING
✓ Real-time data acquisition from IoT systems, sensors, smart devices, gateways, and IPCs. Independence from the communication protocols adopted and uniformity of display and management.
✓ Acquires the measurements collected in real-time and selectively.
✓ Transform acquisitions from heterogeneous systems for reading uniformity.
✓ Acquires measurement data through proprietary technology based on Software Edge Gateway, expandable via a plug-in.
✓ Powua Edge Gateway can be supplied already integrated with certified hardware gateways, in specialized control units for the transport sector, or can be integrated with third-party hardware.
✓ Native support for the following interfacing protocols: MQTT, HTTP, FTP, SSH, SNMP, JDBC, WMI, IP SOCKET, MODBUS, OPC UA.
✓ Helps to define hierarchical aggregation criteria for detected consumption (e.g. at plant, resource, production area level).
✓ Supports TAG attributions to measured assets, for analytical purposes.
✓ Can be integrated with a rules engine to implement complex processing or enhancement logics.
✓ Acquires the measurements collected in real-time and selectively.
✓ Transform acquisitions from heterogeneous systems for reading uniformity.
✓ Acquires measurement data through proprietary technology based on Software Edge Gateway, expandable via a plug-in.
✓ Powua Edge Gateway can be supplied already integrated with certified hardware gateways, in specialized control units for the transport sector, or can be integrated with third-party hardware.
✓ Native support for the following interfacing protocols: MQTT, HTTP, FTP, SSH, SNMP, JDBC, WMI, IP SOCKET, MODBUS, OPC UA.
✓ Helps to define hierarchical aggregation criteria for detected consumption (e.g. at plant, resource, production area level).
✓ Supports TAG attributions to measured assets, for analytical purposes.
✓ Can be integrated with a rules engine to implement complex processing or enhancement logics.
MONITORING
✓ Real-time control of the state of resources and the entire IoT system. Uniformity of management and display.
✓ Asset management both in terms of resources and components of the IoT system.
✓ Monitoring the operating status for resources and devices, based on the metrics detected.
✓ Definition of alarm thresholds following the occurrence of events.
✓ Creation of composite and complex alarms, starting from the monitored entities.
✓ Representation of resources and alarms on customized maps or geographic maps via geolocation.
✓ Hierarchical representation of the status of the monitored systems (e.g. at plant, resource, production area level).
✓ Automatic calculation of downtime and SLA by type of accident and resource.
✓ Can be integrated with other systems such as maintenance management systems.
✓ Asset management both in terms of resources and components of the IoT system.
✓ Monitoring the operating status for resources and devices, based on the metrics detected.
✓ Definition of alarm thresholds following the occurrence of events.
✓ Creation of composite and complex alarms, starting from the monitored entities.
✓ Representation of resources and alarms on customized maps or geographic maps via geolocation.
✓ Hierarchical representation of the status of the monitored systems (e.g. at plant, resource, production area level).
✓ Automatic calculation of downtime and SLA by type of accident and resource.
✓ Can be integrated with other systems such as maintenance management systems.
RULE ENGINE
✓ It allows the definition and application of complex logic processing on the acquired metrics, for example, the purpose of enhancement or transformation.
✓ Execution in interactive mode or on a scheduled basis to generate a constant information flow, to feed the Analytics, the A.I., or any external systems.
✓ Programmable through a simple scripting language.
✓ Execution in interactive mode or on a scheduled basis to generate a constant information flow, to feed the Analytics, the A.I., or any external systems.
✓ Programmable through a simple scripting language.
WORKFLOW
✓ Easy integration with Powua and third-party solutions.
✓ Simple user interface to configure, create, manage and monitor business processes, such as maintenance, production, logistics, quality, etc.
✓ Real-time monitoring of any process and workflow status, through dashboards and reports; historical of the performed processes.
✓ Predefined and customizable activities and tasks, to meet the needs of implementing processes of any type.
✓ SDK to create new integrations.
✓ Simple user interface to configure, create, manage and monitor business processes, such as maintenance, production, logistics, quality, etc.
✓ Real-time monitoring of any process and workflow status, through dashboards and reports; historical of the performed processes.
✓ Predefined and customizable activities and tasks, to meet the needs of implementing processes of any type.
✓ SDK to create new integrations.
ANALYTICS
Powua integrates a complete analysis solution. Thanks to the data collected and the ability to access multiple external data sources, it is possible to build detailed reports and summary dashboards, to be shared with users.
✓ Processing and aggregation of measurement and monitoring data, to analyze and optimize performance.
✓ Correlation with multiple external data sources (eg. ERP, MES, CMMS, etc ...) to analyze processes and introduce efficiency improvements.
✓ Guided creation of KPIs, views, dashboards, and reports to be shared interactively.
✓ Transformation of the acquired and aggregated data into useful information for preventive maintenance (on condition), optimization, and cost reduction.
✓ Processing and aggregation of measurement and monitoring data, to analyze and optimize performance.
✓ Correlation with multiple external data sources (eg. ERP, MES, CMMS, etc ...) to analyze processes and introduce efficiency improvements.
✓ Guided creation of KPIs, views, dashboards, and reports to be shared interactively.
✓ Transformation of the acquired and aggregated data into useful information for preventive maintenance (on condition), optimization, and cost reduction.
ARTIFICIAL INTELLIGENCE
Powua integrates Advanced Analytics features, capable of applying statistical models, probability calculation, and artificial intelligence algorithms to the acquired big data.
✓ Processing of machine data, historical data related to failures, repairs, operating conditions, maintenance requirements, and from additional data sources.
✓ Allows production or maintenance managers to predict the failure, identify performance anomalies and perform root cause analysis.
✓ Resolution of complex problems through the application of statistical algorithms, probability calculation, time series, machine learning, and deep learning.
✓ Based on the main reference tools and frameworks, it allows you to manage the entire life cycle, starting from the data flow generated by Powua and enriched with other data sources leads to the choice of the algorithm. Its implementation shows up representing the results in the form of interactive reports and dashboards, ease to use by the end-user.
✓ Processing of machine data, historical data related to failures, repairs, operating conditions, maintenance requirements, and from additional data sources.
✓ Allows production or maintenance managers to predict the failure, identify performance anomalies and perform root cause analysis.
✓ Resolution of complex problems through the application of statistical algorithms, probability calculation, time series, machine learning, and deep learning.
✓ Based on the main reference tools and frameworks, it allows you to manage the entire life cycle, starting from the data flow generated by Powua and enriched with other data sources leads to the choice of the algorithm. Its implementation shows up representing the results in the form of interactive reports and dashboards, ease to use by the end-user.
Case Study
Some of our customers:
