A Practical Guide for Advanced Asset Tracking and Robotics (Leveraging Qorvo QM35)
Download our comprehensive guide for industrial engineers and system integrators to achieve unparalleled localization precision, operational efficiency, and a strategic business advantage in high-density industrial environments.
Traditional localization technologies often fall short in providing the granular insight needed for asset tracking, personnel safety, and workflow optimization, especially in high-density industrial settings.
These systems are limited by signal interference, multipath propagation, and a lack of sufficient accuracy. Our guide provides a direct response to these limitations, offering a proven methodology for achieving the sub-centimeter accuracy required for modern industrial applications. We will show you how to leverage the full potential of UWB technology, specifically through the advanced features of the Qorvo QM35, to unlock a strategic business advantage for your enterprise.
Key Takeaways from the Guide:
Environmental Assessment: Learn how to conduct deep site surveys, including multipath analysis and radio frequency (RF) noise mapping, to build a solid foundation for your network.
Intelligent Network Design: Understand the principles for optimizing your anchor network, from Geometric Dilution of Precision (GDOP) to selecting the right architecture (TDoA vs. TWR).
Synchronization & Integrity: Discover the foundational importance of inter-anchor synchronization, covering both wired and advanced wireless methods.
Rigorous Validation: Follow our framework for comprehensive benchmarking, calibration, and statistical analysis to guarantee sustained, high-level performance.
Proactive Maintenance: Gain insights into best practices for long-term monitoring and upkeep to ensure your system's continued reliability.
Master the Core Pillars of UWB Network Design
Move beyond basic planning with an in-depth look at the sophisticated techniques required for a successful UWB RTLS deployment in high-density industrial environments.
Key Insights Inside:
PDoA: Unlocking Directional Precision: Learn how Phase Difference of Arrival (PDoA) adds a new layer of spatial awareness by providing directional precision in addition to distance measurements. The guide explains how this technology, especially with chipsets like the Qorvo QM35825, allows for accurate 3D Angle-of-Arrival (AoA) measurements with an accuracy of +/- 2 degrees and can help reduce the number of anchors needed for precise positioning.
The Power of the Qorvo QM35: Discover how the Qorvo QM35 chipset series, especially the QM35825, is at the forefront of UWB technology. The guide details its advanced features, including multi-antenna support for PDoA and 3D AoA with an accuracy of +/- 2 degrees, enhanced throughput for tracking thousands of assets simultaneously, and robust security features.
Multi-Sensor Fusion for Enhanced Robustness: Understand how to improve reliability in challenging environments by combining UWB measurements with data from Inertial Measurement Units (IMUs) and wheel odometry. The guide details how advanced algorithms like Kalman filters can smooth raw UWB data and predict trajectories, enhancing robustness even with intermittent signal availability.
Transformative Applications Across Industries: Learn how the precision, low latency, and robust performance of sub-centimeter UWB RTLS with PDoA are transforming operations across diverse industries. The ebook provides real-world examples in logistics and warehousing, automotive and manufacturing, healthcare, and smart buildings, showcasing improvements in efficiency, safety, and decision-making.
Why Read This Ebook?
It's a strategic guide for transforming your industrial operations. By reading, you will learn to:
01
Implement a proven framework for achieving sub-centimeter precision. This level of accuracy enables a new generation of use cases, from autonomous robot navigation to enhanced worker safety.
02
Translate technical precision into a tangible competitive advantage. This is achieved through enhanced operational efficiency, improved resource utilization, and data-driven decision-making.
03
Understand the strategic and financial value of investing in UWB RTLS. The guide explains the "cost of imprecision" and the quantifiable ROI from reduced asset loss, increased operational efficiency, and labor savings.
Actionable Strategies for Advanced Deployments
Our guide provides advanced strategies for ensuring your system's long-term success and reliability.
Mitigate Co-Channel Interference
The guide teaches you how to manage large-scale deployments by using strategies like dynamic UWB channel selection, optimizing transmitter power levels, and implementing advanced filtering algorithms.
Implement Rigorous Validation & Calibration
The document outlines how to define key performance indicators (KPIs) such as static and dynamic accuracy, latency, and robustness. It also provides methodologies for collecting error data, calculating standard deviation and confidence intervals, and identifying outliers to pinpoint root causes of inaccuracy.
Ensure Long-Term Performance
The guide emphasizes that calibration is not a one-time event. It outlines procedures for on-site calibration by fine-tuning anchor positions after installation and describes how to establish continuous, long-term monitoring dashboards to track system health, network latency, and interference levels in real-time.
Frequently Asked Questions (FAQ)
This guide is a technical and strategic blueprint for industrial engineers and RTLS system integrators tasked with deploying and optimizing UWB systems in high-density environments.
The guide provides a clear, actionable framework for achieving unparalleled localization precision. The procedures detailed in this guide are for delivering the robust, sub-centimeter accuracy that industrial applications require.
Yes. It provides a complete framework that covers every stage of deployment, from environmental assessment and network design to validation and proactive maintenance.
The guide explores the principles for selecting the right architecture, including the trade-offs between Time Difference of Arrival (TDoA) and Two-Way Ranging (TWR) systems. TDoA systems use a network of highly synchronized anchors to calculate a tag's position based on the different arrival times of its signal. TWR involves a direct communication handshake between a tag and an anchor to measure distance and is less sensitive to synchronization errors.
Phase Difference of Arrival (PDoA) adds a new layer of spatial awareness by providing directional precision. This allows for a "reduced infrastructure location scheme" because a single anchor can often provide both distance and direction, which can lower deployment costs and reduce system complexity.
For the most accurate results, the guide recommends using specialized equipment like spectrum analyzers to measure the RF noise floor and UWB channel sounders to identify and map multipath-prone areas.
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At needCode, we don't just integrate technology; we empower innovation.
As a trusted Qorvo Partner, we bring deep expertise in the Aliro standard, UWB technology, and specifically, Qorvo's QM35825 module. We are a leading system integrator and the go-to company for UWB implementation, helping manufacturers like you navigate the complexities of cutting-edge wireless technology.
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For example, Sentinel, a monitoring system used in pharmaceutical production by IMA Pharma, employs AI to evaluate sensor data along the production line. The AI detects and improves underperforming components, ensuring efficient machine operation and maintaining high standards in drug manufacturing.
Logistics & supply chain
IoT devices - from fleet vehicles and autonomous warehouse robots to scanners and beacons - generate large amounts of data in this industry. When combined with AI, this data can be leveraged for tracking, analytics, predictive maintenance, autonomous driving, and more, offering greater visibility into logistics operations and enhancing vendor partnerships.
Example: Amazon employs over 750,000 autonomous mobile robots to assist warehouse staff with heavy lifting, delivery, and package handling tasks. Other examples include AI-powered IoT devices such as cameras, RFID sensors, and beacons that help monitor goods' movement and track products within warehouses and during transportation. AI algorithms can also estimate arrival times and forecast delays by analyzing traffic conditions.
Retail
IoT sensors monitor movement and customer flow within a building, while AI algorithms analyze this data to offer insights into traffic patterns and product preferences. This information enhances understanding of customer behavior, helps prevent stockouts, and improves customer analytics to drive sales. Furthermore, AIoT enables retailers to deliver personalized shopping experiences by leveraging geographical data and individual shopping preferences.
For instance, IoT sensors track movement and customer flow, and AI algorithms process this information to reveal insights into traffic patterns and product preferences. This ultimately leads to better customer understanding, stockout prevention, and enhanced sales analytics.
Agriculture
Recent research by Continental reveals that over 27% of surveyed farmers utilize drones for aerial land analysis. These devices capture images of crops as they are and transmit them to a dashboard for further assessment. However, AI can enhance this process even further.
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Smart Cities
Smart cities represent another domain where AIoT applications can enhance citizens' well-being, facilitate urban infrastructure planning, and guide future city development. In addition to traffic management, IoT devices equipped with AI can monitor energy consumption patterns, forecast demand fluctuations, and dynamically optimize energy distribution. AI-powered surveillance cameras and sensors can identify suspicious activities, monitor crowd density, and alert authorities to potential security threats in real-time, improving public safety and security.
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Healthcare
Integrating AI and IoT in healthcare enables hospitals to deliver remote patient care more efficiently while reducing the burden on facilities. Additionally, AI can be used in clinical trials to preprocess data collected from sensors across extensive target and control groups.
For example, intelligent wearable technologies enable doctors to monitor patients remotely. In real-time, sensors collect vital signs such as heart rate, blood pressure, and glucose levels. AI algorithms then analyze this data, assisting doctors in detecting issues early, developing personalized treatment plans, and enhancing patient outcomes.
Smart Homes
The smart home ecosystem encompasses smart thermostats, locks, security cameras, energy management systems, heating, lighting, and entertainment systems. AI algorithms analyze data from these devices to deliver context-specific recommendations tailored to each user. This enables homeowners to use utilities more efficiently, create a personalized living space, and achieve sustainability goals.
For example, LifeSmart offers a comprehensive suite of AI-powered IoT tools for smart homes, connecting new and existing intelligent appliances and allowing customers to manage them via their smartphones. Additionally, they provide an AI builder framework for deploying AI on smart devices, edge gateways, and the cloud, enabling AI algorithms to process data and user behavior autonomously.
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When your product is successfully launched and available on the market we provide ongoing support and maintenance services to ensure your product remains competitive and reliable. This includes prompt resolution of any reported issues through bug fixes and updates.
We continuously enhance product features based on user feedback and market insights, optimizing performance and user experience.
Our team monitors product performance metrics to identify areas for improvement and proactively addresses potential issues. This phase aims to sustain product competitiveness, ensure customer satisfaction, and support long-term success in the market.
Commercialization (From MVP to Product
Our software team focuses on completing the full product feature range, enhancing the user interface and experience, and handling all corner cases. We prepare product software across the whole lifecycle by providing all necessary procedures, such as manufacturing support and firmware upgrade.
We also finalize the product's hardware design to ensure robustness, scalability and cost-effectiveness.
This includes rigorous testing procedures to validate product performance, reliability, and security. We manage all necessary certifications and regulatory compliance requirements to ensure the product meets industry standards and legal obligations.
By the end of this phase, your product is fully prepared for mass production and commercial deployment, with all documentation and certifications in place.
Prototyping (From POC to MVP)
Our development team focuses on implementing core product features and use cases to create a functional Minimum Viable Product (MVP). We advance to refining the hardware design, moving from initial concepts to detailed PCB design allowing us to assemble first prototypes. Updated documentation from the Design phase ensures alignment with current project status. A basic test framework is established to conduct preliminary validation tests.
This prepares the product for real-world demonstrations to stakeholders, customers, and potential investors.
This phase is critical for validating market readiness and functionality before proceeding to full-scale production.
Design (From Idea to POC)
We meticulously select the optimal technology stack and hardware components based on your smart product idea with detailed use cases and feature requirements (Market Requirements Document / Business Requirements Document). Our team conducts thorough assessments of costs, performance metrics, power consumption, and resource requirements.
Deliverables include a comprehensive Product Requirements Document (PRD), detailed Software Architecture plans, an Initial Test Plan outlining validation strategies, Regulatory Compliance Analysis to ensure adherence to relevant standards, and a Proof of Concept (POC) prototype implemented on breakout boards.
This phase aims to validate the technical feasibility of your concept and establish a solid foundation for further development.
If you lack a validated idea and MRD/BRD, consider utilizing our IoT Strategic Roadmap service to gain insights into target markets, user needs, and desired functionality. Having a structured plan in the form of an IoT Strategic Roadmap before development begins is crucial to mitigate complications in subsequent product development phases.
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