RuggON Showcases AI-Driven Rugged Fleet Solutions at WasteExpo 2025, Empowering Smarter & Greener Waste Management
Amid growing global demand for sustainability in urban infrastructure, RuggON's ruggedized solutions provide waste fleets with real-time vehicle diagnostics, intelligent route planning, and proactive maintenance capabilities. Through seamless integration with CAN bus and SAE J1939 standards, these vehicle mount computers enable instant access to operational data and AI-assisted safety alerts, such as blind spot detection and driver monitoring — reducing risks on the road and boosting driver accountability.
Built for the toughest environments, RuggON's vehicle-mounted platforms meet military-grade standards for shock and vibration resistance, ensuring performance in the most demanding waste collection conditions. With LEOs, 5G, 4G/LTE, and WiFi connectivity onboard, waste fleet operators can transmit and receive critical data across systems with speed and reliability, facilitating decisions that reduce downtime, lower emissions, and extend vehicle life cycles.
"We're excited to demonstrate how our rugged solutions empower the waste industry to embrace digital transformation while staying aligned with sustainability goals," said Tim Tsai, North America CEO of Ubiqconn. "Our technologies are not just built for durability — they're built for a cleaner future."
RuggON is proud to be driving innovation in waste management. By empowering frontline operators with reliable, AI-powered solutions, we're not just supporting cleaner cities—we're helping build a smarter, more sustainable future.
About RuggON
RuggON Corp., a subsidiary of Ubiqconn Technology, is a leading manufacturer of rugged mobile computing solutions. Combining Ubiqconn's advanced technology to drive innovation and expand in the Mobile Industrial (IioT) market, RuggON leverages decades of expertise to improve mobile productivity in harsh environments. A committed engineering team delivers devices of exceptional value and quality that enhance user experience. The company understands the diverse demands of industries to provide tailored, efficient solutions. RuggON is dedicated to higher standards for customer satisfaction and prides itself on offering endless possibilities to meet tomorrow's needs. For more information, visit http://www.ruggon.com or follow us on LinkedIn.
View original content to download multimedia:https://www.prnewswire.com/news-releases/ruggon-showcases-ai-driven-rugged-fleet-solutions-at-wasteexpo-2025-empowering-smarter--greener-waste-management-302444876.html
SOURCE RuggON Corp.
View original content to download multimedia: http://www.newswire.ca/en/releases/archive/May2025/05/c1893.html
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Associated Press
3 days ago
- Associated Press
RuggON Showcases AI-Powered Rugged Solutions to Boost Efficiency, Safety, and Connectivity in Logistics at TILOG LOGISTIX 2025
From AI-powered driver safety to real-time fleet diagnostics and always-on connectivity, RuggON empowers logistics operators to thrive in the most demanding warehouse, fleet and field environments. TAIPEI, Aug. 18, 2025 /PRNewswire/ -- RuggON, a subsidiary of Ubiqconn Technology and a leading provider of rugged mobile computing solutions, will showcase its latest logistics-focused innovations at TILOG LOGISTIX 2025 (Booth No. A29). Designed to address the toughest operational challenges in today's supply chain, RuggON's solutions empower warehouse, fleet, and field operators to achieve higher efficiency, safety and always-on connectivity. Key highlights include AI Safety for driver behavior analysis and blind spot detection, and Smart Monitor featuring CAN bus and SAE J1939 compatibility to deliver real-time diagnostics that minimize downtime. Reliable Connectivity through LEO satellite, 5G, 4G/LTE, and WiFi-ready capabilities ensures uninterrupted data exchange, while rugged performance is engineered to withstand shock, dust, and extreme temperatures, making it ideal for warehouse docks, delivery fleets, and challenging outdoor logistics environments. 'Logistics today demands not only speed and accuracy but also systems that can operate without fail in any environment,' said Sean Lee, VP of RuggON Business. 'By combining AI-driven analytics with our proven expertise in rugged design, we deliver solutions that help logistics operators stay productive, protect their assets, and adapt to the fast-evolving demands of global supply chains.' By integrating AI intelligence with proven durability, RuggON equips logistics operators to optimize fleet management, enable real-time tracking, and enhance inventory control, paving the way for smarter and more resilient supply chains. Visitors can experience RuggON's rugged solutions in action at TILOG LOGISTIX 2025, Booth No. A29. About RuggON RuggON Corp., a subsidiary of Ubiqconn Technology, is a leading manufacturer of rugged mobile computing solutions. Combining Ubiqconn's advanced technology to drive innovation and expand in the Mobile Industrial (IioT) market, RuggON leverages decades of expertise to improve mobile productivity in harsh environments. A committed engineering team delivers devices of exceptional value and quality that enhance user experience. The company understands the diverse demands of industries to provide tailored, efficient solutions. RuggON is dedicated to higher standards for customer satisfaction and prides itself on offering endless possibilities to meet tomorrow's needs. For more information, visit or follow us on LinkedIn. View original content to download multimedia: SOURCE RuggON Corp.
Time Business News
11-08-2025
- Time Business News
How SCADA Software Solutions Are Transforming Industrial Operations in 2025
As industries evolve in the digital age, automation and real-time data insights are no longer optional—they're essential. In 2025, SCADA software solutions are playing a pivotal role in this evolution, enabling factories, energy systems, and utilities to shift from reactive operations to intelligent, predictive, and interconnected systems. The integration of SCADA with IIoT platforms and modern HMI solutions is transforming the way industrial enterprises manage their assets, optimize processes, and ensure safety. One company leading this shift is Tatsoft, whose FrameworX platform exemplifies how flexible, scalable, and unified SCADA architectures can reshape entire industrial operations. Traditional SCADA systems were often siloed—built with proprietary protocols, limited extensibility, and isolated data pools. In contrast, the next generation of SCADA software solutions is built around openness, scalability, and integration. Tatsoft's FrameworX platform provides a powerful example of this transformation. Instead of requiring multiple layers of software for SCADA, HMI, historians, and IIoT connectivity, FrameworX offers a single, unified architecture. This all-in-one platform significantly reduces operational complexity while giving industrial teams access to powerful capabilities such as: Centralized real-time and historical data Integrated alarms, trends, reports, and visualization Native support for modern protocols like MQTT and OPC UA A low-code environment with full scripting support This unified approach not only reduces licensing and deployment costs—it also accelerates innovation. Several trends are converging to make 2025 a critical year for SCADA transformation: Modern operations demand real-time data access from remote assets, sensors, and devices. SCADA systems in 2025 must be able to talk to cloud-native IIoT platform for predictive analytics, performance optimization, and remote diagnostics. Tatsoft's FrameworX is designed with IIoT in mind. It allows edge devices to collect, process, and forward data using MQTT with Sparkplug B. This allows for secure, event-driven data sharing across multiple enterprise systems—without needing middleware. Key benefits: Edge intelligence: Process data locally, reduce cloud traffic Real-time alerts: Improve incident response Integration with cloud tools like Azure IoT, AWS IoT Core, and InfluxDB By unifying SCADA and IIoT in a single environment, organizations can break down the barriers between OT and IT. Operators in 2025 need more than static screens—they need mobile, responsive, and dynamic HMI solutions that adapt to modern workflows. Tatsoft provides responsive HTML5 interfaces and mobile-native apps, alongside traditional desktop HMI. Developers can create visually rich dashboards using reusable graphics, templates, and powerful scripting in C#, Python, or This level of customization ensures that each user—whether in a control room or in the field—gets the right data in the right format. SCADA software isn't one-size-fits-all. FrameworX supports a wide range of use cases and industries, with scalability from small embedded systems to enterprise-wide operations. Remote pipeline monitoring, wellhead telemetry, and safety-critical control systems benefit from the redundancy, security, and real-time capabilities of FrameworX. It supports edge gateways to manage bandwidth and maintain local control, even when cloud connectivity is disrupted. From discrete part assembly to continuous process industries, manufacturers use FrameworX to unify plant floor data, machine status, and MES-level logic. Historical trending and integrated alarm management help reduce downtime and optimize throughput. SCADA systems must handle geographically dispersed infrastructure, strict uptime requirements, and cybersecurity compliance. Tatsoft delivers secure web-based HMIs and native support for DNP3, Modbus, and other common protocols. FrameworX enables the use of a Unified Namespace (UNS)—a concept that organizes all tags, devices, alarms, and metadata into a single, structured hierarchy. This open JSON-based model supports seamless data discovery and access across all clients and systems. With a UNS, companies can: Eliminate manual tag mapping Enable plug-and-play device integration Accelerate digital twin development This becomes a foundational layer for Industry 4.0 and smart factory initiatives. SCADA software in 2025 must not only display data in real time, but also store it securely for audit, compliance, and machine learning. FrameworX includes a SQL-based historian out of the box, with optional connectors to time-series databases like InfluxDB. Operators can generate dynamic reports, create trend charts, and access historical dashboards without additional software licenses or plugins. Unlike many traditional SCADA vendors, Tatsoft doesn't impose per-client or per-tag licensing fees. This means companies can scale up their operations—adding more data points, users, or HMIs—without escalating costs. This pay-for-performance model is more aligned with modern cloud services and helps avoid 'license creep' as projects expand. Industrial operations face increasing cyber threats. Tatsoft's FrameworX includes robust, enterprise-grade features such as: Role-based access control (RBAC) SSL/TLS encryption for all data in transit Active Directory integration Redundant server support for high availability This makes it easier for companies to comply with NERC CIP, NIST, and other industry cybersecurity standards without the need for bolt-on security tools. FrameworX isn't a black box. It's built with developers and integrators in mind, offering: Scripting in C#, and Python REST APIs and OPC UA server/client roles HTML5 and WPF interfaces from a single design environment Source control and version management integration This ensures that development teams can build tailored solutions, iterate quickly, and integrate with any enterprise system. While many SCADA platforms claim to offer flexibility, few offer the combination of openness, scale, and full-stack capability that FrameworX provides. Key differentiators include: One unified platform: No separate HMI, SCADA, IIoT, and historian layers Cross-platform deployment: Windows, Linux, Web, iOS, Android Transparent pricing: No per-client or per-tag fees Built-in IIoT, MQTT, and Unified Namespace A true hybrid edge-to-cloud architecture In 2025, SCADA software solutions are no longer isolated control tools—they are the core of smart, connected, and efficient industrial systems. With platforms like Tatsoft's FrameworX, businesses gain a strategic advantage by unifying SCADA, HMI, and IIoT capabilities in one scalable environment. Whether you're looking to modernize a legacy system, deploy real-time dashboards, or build a future-proof IIoT architecture, SCADA is the key—and FrameworX is leading the way. Visit to explore FrameworX in action, request a demo, or download the platform and see how unified SCADA can redefine your industrial operations. TIME BUSINESS NEWS
Forbes
29-07-2025
- Forbes
ERP Shifts To Industry 5.0 To Enable Smarter, Human-Centric Operations
Conceptually, the progression from Industry 4.0 to 5.0 reflects an ongoing evolution toward smarter, ... More more connected and more human-centric systems that drive innovation and resilience. PX Media - ERP and supply chain systems are evolving alongside the broader movement in how industries approach innovation. The 'Industry n.0' framework — spanning early mechanization (1.0), mass production (2.0), automation (3.0) and today's smart, connected systems (4.0) — has helped organizations track progress and plan their next steps. Industry 5.0 is now gaining traction with a focus on enabling technology to work with people, not just automating around them. In recent years, Industry 4.0 technologies including AI, IoT and robotics have continued to improve efficiency by automating tasks and connecting systems across ERP and supply chains. But as I look ahead to the rest of 2025 and beyond, I see the conversation shifting. Industry 5.0 emphasizes human-machine collaboration — where, for example, AI agents assist humans rather than replacing them, and systems are built to support human creativity, judgment and sustainability. One theme in an article I wrote earlier this year, 'ERP Leveled Up in 2024 — Where Is It Headed in 2025?,' was to explore how Industry 4.0 and 5.0 are shaping the next generation of ERP. The global Industry 5.0 market reflects this momentum — valued at $82.57 billion in 2025 and projected to reach $2.15 trillion by 2037, with a CAGR of 30.7%. This growth is fueled by AI-enabled ERP, enterprise-wide data integration and the increasing adoption of technologies including IoT, IIoT and digital twins. In short, ERP systems are being reengineered for a new era. Thanks to AI agents, context-aware automation and the other technologies discussed here, ERP is moving beyond transaction processing to actively detect disruptions, support real-time decisions and adapt on the fly. It's no longer just a back-office system — it's becoming a critical driver of intelligent operations. Industry 5.0 emphasizes the collaboration between humans and machines to create synergistic relationships that enhance productivity and workplace satisfaction. The obvious example of this is the use of AI. Already today, AI is seemingly everywhere in production facilities. Among many other impacts, this changes how we use ERP. Instead of ERP systems being limited to traditional planning tools, they are now smart platforms that can provide real-time operational data and forward-looking insights. Organizations can use this to streamline their processes and make more informed decisions. A specific example is using AI assistants in manufacturing and operations. These tools help planners, engineers and frontline workers handle data, flag issues and draft reports or maintenance logs — accelerating results while keeping humans in control. The AI assistant software market was valued at $8.5 billion in 2024 and is projected to reach $35.7 billion by 2033, growing at a 17.5% CAGR. Modern ERP platforms reflect this shift by embedding AI directly into workflows — not just to automate, but to improve how users interact with data through personalized dashboards, smart alerts and context-aware suggestions. Personalization represents a core principle of Industry 5.0. Modern manufacturing systems support hyper-customization through additive manufacturing, smart product configurators and flexible production lines. AI algorithms predict customer needs and adjust configurations in real time, while 3-D printing enables cost-effective production of custom parts. These systems rely on evolved ERP platforms that integrate customer data, production capacity and material availability to deliver custom goods at scale. Industry 5.0 combines smart technology with human input to build systems that adapt quickly, handle ... More disruptions better and support sustainable business growth. Adobe In an Industry 5.0 context, AI agents are emerging as a key link between human expertise and intelligent automation. Deloitte projects that 25% of enterprises using generative AI will deploy autonomous AI agents in 2025, doubling to 50% by 2027. It's not hard to see why: The World Economic Forum identifies AI agents as capable of achieving up to 14% cost savings through intelligent automation. Unlike traditional rule-based systems, AI agents interpret real-time data, learn from patterns and act within defined boundaries. They go beyond basic automation, evolving from content generators (as in generative AI) into autonomous problem solvers capable of reasoning, planning and taking action. AI agents are already performing practical, high-impact tasks in today's manufacturing and industrial environments. They predict equipment failures using sensor data and automatically trigger maintenance workflows in ERP or CMMS systems. They adjust production schedules in real time when delays, material shortages or demand fluctuations occur. AI agents also help optimize inventory levels by analyzing usage trends and supplier lead times, reducing overstock and stockouts. In manufacturing, AI agents can also help manage quality control by analyzing production data — often using computer vision, which for years now has allowed machines to interpret visual information from cameras to detect defects or irregularities. When a problem is identified, the AI can automatically adjust the process and coordinate with other systems to correct it. It also communicates with upstream and downstream processes to ensure the fix is carried through the entire line. This speeds up corrections, reduces waste and minimizes the need for manual inspection. Another area for waste reduction is energy management, where AI agents can monitor consumption patterns and recommend adjustments to improve efficiency. What's different now is how agentic AI enables autonomous, context-aware coordination across systems. They work across systems such as MES, ERP and SCM, managing entire sequences of interrelated tasks — not just one-off actions. If a supplier delay occurs, an agent might reschedule production, reassign inventory, update material availability in the ERP and adjust delivery timelines in the SCM system. It can also flag these changes for human review before moving forward. This 'human-in-the-loop' approach lets AI handle routine coordination and data entry, while keeping planners in control of the critical decisions. AI agents are making ERP systems more adaptive, enabling faster actions and smarter collaboration across the enterprise — an essential step forward in the practical realization of Industry 5.0. In this context, ERP systems must continue to evolve into coordination platforms that manage multi-agent execution and workflows, interfacing with external ecosystems and internal operations. These systems will require open APIs and real-time data processing capabilities to function as orchestration layers between AI agents, IoT systems (more on that in a moment) and external partners, enabling seamless communication and coordination across diverse manufacturing environments. IoT And Industrial IoT Data In Action IoT and IIoT systems provide the foundation for real-time sensor data to drive autonomous operations. The industrial IoT market is projected to reach $275.7 billion by 2025, with manufacturing, energy and logistics sectors heavily investing in IIoT solutions. These devices continuously monitor temperature, vibration, pressure or other variables across factory floors and other industrial sites, feeding data directly into ERP systems and analytics platforms for faster, more accurate decision making. Current adoption rates show that 62% of manufacturers have embraced IoT technologies in their manufacturing or assembly processes, with 43% leveraging real-time location systems. Yet only 18% of manufacturers have real-time visibility into their operations, making advanced IoT solutions crucial for bridging operational gaps. As touched on earlier, IoT data can combine with AI to power predictive maintenance and automated quality control systems that detect early signs of equipment failure and automatically initiate repairs. Modern predictive maintenance systems also leverage machine learning algorithms to analyze vast sensor data streams, identifying subtle anomalies and patterns that might indicate equipment problems. This early detection capability allows manufacturers to schedule maintenance precisely when needed, avoiding both unexpected breakdowns and unnecessary maintenance interventions. In supply chains, IoT sensors embedded in transport vehicles, warehouses and supplier facilities provide real-time insights on goods movement, environmental conditions and delivery timelines, enabling AI agents to dynamically reroute deliveries or reorder inventory. In all of these examples, we again see common themes of reducing waste and improving efficiency. Data Infrastructure Requirements For Industry 4.0 And 5.0 As operations become increasingly autonomous, harmonized data enables interoperability across systems and vendors. Standardized data formats provide the foundation for intelligent agents and ERP platforms to share and act on information effectively, which is essential for cross-enterprise collaboration in complex multi-tier supply chains. Digital twins are becoming standard practice, with the market projected to reach $73.5 billion by 2027. These virtual replicas of physical assets simulate operations using real-time data, allowing businesses to test changes, optimize processes and predict outcomes without disrupting live environments. Modern digital twins integrate real-time data from sensors, IoT devices and enterprise systems, creating continuously updated virtual replicas that provide instant insights into performance. Scalable infrastructure built on cloud, edge computing and API-driven platforms is essential for supporting these advanced capabilities. Edge computing is significant for manufacturing, where milliseconds can make substantial differences in the performance of robotics, predictive maintenance and automated quality assurance. By processing data locally, edge systems ensure continuous operation even during connectivity outages, reducing bandwidth costs and improving response times. Sustainability And Human-Centricity In Industry 5.0 Sustainability and human-centricity are central to how Industry 5.0 is implemented. Rather than focusing solely on economic efficiency and scale, organizations are also embedding environmental responsibility and workforce well-being into how systems are designed and operated. On the sustainability front, ERP and supply chain systems equipped with AI agents are helping companies monitor energy use, track emissions and reduce waste in real time. These systems support practical goals such as optimizing transportation routes, choosing lower-impact materials and improving asset utilization. As reporting requirements and environmental expectations grow, these capabilities are becoming essential to day-to-day operations. Human-centricity means designing systems that work with people, not just around them. AI agents can reduce manual workload by handling repetitive tasks, surfacing relevant information and supporting faster decision making, freeing employees to focus on tasks requiring human judgment or creativity. In practice, this improves not just efficiency but also job satisfaction and workplace safety. Industry 5.0 is not about replacing what came before, but expanding how organizations think about performance. By integrating sustainability and human factors directly into ERP and operational workflows, companies can better balance productivity with long-term resilience. The Future Of ERP Starts With Industry 5.0 Industry 5.0 concepts are already prompting a major rethink of how ERP systems are designed. We're moving away from rigid, monolithic architectures toward more modular, event-driven systems supporting real-time data processing, human-machine collaboration and AI agents that actively participate in day-to-day operations. ERP isn't just about automating transactions anymore — it's about enabling systems that are smarter, more sustainable and more aligned with strategic outcomes. That means cleaner data, better context and platforms that can evolve alongside the business. AI agents will be central to this shift. Instead of merely reacting to inputs, they'll guide processes, anticipate disruptions and help teams make faster, more informed moves. But that only works if ERP systems are built to support it — which mandates architectures that are flexible, integrated and capable of managing both structured and unstructured data at scale. This is just the beginning. As we look ahead to Industry 6.0, which is expected to take shape around 2050, ERP will need another overhaul. We'll be entering an era of hyper-autonomy, where intelligent agents make decisions with minimal human involvement, and technologies like quantum computing and nanotechnology take center stage. Quantum alone could unlock new capabilities in materials science, chemistry, drug discovery, finance, economics, climate modeling and advanced physics simulations. And it only makes sense to predict that these new applications will drive ERP systems that are more complex, faster and more innovative than we see today. In an upcoming article, I'll explore how ERP platforms need to evolve to support a future defined by autonomy, intelligence and paradigm-level innovation.
