New approach to common problem:
Agile Predictive Monitoring (AgPM) for smarter infrastructure
Skysens has pioneered Agile Predictive Monitoring, a revolutionary industrial concept IoT and AI‑driven infrastructure monitoring inspired by lean principles for industrial manufacturing. This innovative approach is designed to reduce costs while dramatically accelerating the time it takes to transition from data collection to AI‑enhanced operations.
Lean Touch for AI‑Driven Technical Infrastructure
IoT Integration
This concept is fundamentally anchored in the use of cost-effective, energy-efficient IoT devices along with advanced wireless network technologies, including LoRaWAN.
Application-Centric AI
In contrast to vague, data-driven AI and analytics platforms, Agile Predictive Monitoring emphasizes user-centric, application-based AI, making it the perfect solution for cost-effective monitoring requirements. It features integrated AI and analytics models that are ready to use right out of the box.
Low Cost and Flexibility
Thanks to its affordable IoT capabilities and seamless out-of-the-box integrations, any industrial AI project can be significantly streamlined, saving both time and money.
Industrial Data Integration
It offers seamless integration interfaces for existing industrial data, facilitating both upstream and downstream connectivity. This capability enables the connection of a diverse range of industrial sensors and data streams.
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6 Pillars of Agile Predictive Monitoring
Just like in lean systems, AgPM platform has evolved by embracing principles, consistently incorporating new features and enhancing its capabilities.
Benefits
Low Cost Digitalization
Agile Predictive Monitoring platforms enable cost-effective AI deployment using affordable IoT devices and built-in AI, eliminating the need for third-party services and potentially reducing costs by up to tenfold.
Suitable For Lean Enterprises
Agile Predictive Monitoring platforms provide customizable no-code interfaces and diverse sensors to streamline operations, tackle challenges, and lower costs, aligning with lean enterprise practices.
Open Architecture
Open architecture is key to Agile Predictive Monitoring, integrating physical and digital layers. Its microservice design and open framework allow users to enhance functionalities by adding software and hardware without replacing the entire system.
Available For All Roles
Agile Predictive Monitoring meets flexibility and inclusiveness needs with user interfaces for different categories, such as operational, technical, and strategic management. Some users may use it for real-time monitoring, while others access advanced analytics.
Native AI Implementation
The Agile Predictive Monitoring platform enables quick integration of operational parameters with AI capabilities such as anomaly detection at a low cost, simplifying data acquisition and architecture processes.
Out of Box Deployment
Agile Predictive Monitoring platforms allow out-of-the-box applications like energy efficiency and predictive maintenance, reducing costs by minimizing consultancy and outsourced labor.
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Usage Scenarios
Stand-alone application
Agile Predictive Monitoring applications serve as the main data acquisition, analytics, and reporting infrastructure. They utilize new, low-cost technologies like LoRaWAN for indoor air quality and steam trap monitoring.
Addition to Existing Technology
In this scenario, the Agile Predictive Monitoring platform integrates with existing infrastructure, such as Building Management. Learn more >
Work in Parallel
Some solutions require parallel systems due to responsibilities and requirements. The Agile Predictive Monitoring platform.. Learn more >
Agile No-Code IIoT Platform: Ideal for
Large Manufacturing Facilities
Manufacturing companies stand to gain significantly from the Agile Predictive Monitoring platform, which helps them enhance sustainability, minimize their carbon footprint, boost energy efficiency, improve health and safety standards, and attain operational excellence. This is especially true for large manufacturing facilities, which leverage Agile Predictive Monitoring technologies to identify and close monitoring gaps, empower operational teams with AI capabilities, and enhance their current monitoring and control systems to optimize asset performance.
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Airports / Seaports
Airports are among the largest users of Agile Predictive Monitoring platforms due to their vast areas and intricate system demands. Similarly, although not as expansive, seaports also benefit significantly from these agile monitoring capabilities to elevate their operational excellence. Both sectors require continuous, flexible monitoring technologies like Agile Predictive Monitoring platforms to boost sustainability and efficiency.
Technical Facilities
Agile Predictive Monitoring technologies can greatly enhance any technical infrastructure. For instance, elements like HVAC systems in commercial buildings, cold chain logistics, and lighting systems in expansive public spaces can be optimized through these platforms. By leveraging Agile Predictive Monitoring, facilities can boost sustainability and efficiency in a dynamic and cost-effective way.
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Wide Area Users
City councils, municipalities, agricultural firms, government services and gas and energy distribution companies stand to gain significantly from Agile Predictive Monitoring platforms. These solutions, particularly when combined with cost-effective, GSM-independent wireless networks like LoRaWAN and advanced IoT capabilities, can revolutionize their operations. By leveraging these technologies, organizations can enhance their monitoring capabilities, boost operational efficiency, and significantly cut costs, leading to substantial returns on investment in everyday operations.
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