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Last updated on 2024年7月11日

How do you incorporate GNSS data and analytics into your decision making and problem solving processes?

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Global Navigation Satellite Systems (GNSS) are networks of satellites that provide positioning, navigation and timing services to users around the world. They include GPS, GLONASS, Galileo and BeiDou, each with its own features and coverage. GNSS data and analytics can help you make better decisions and solve problems in various domains, such as agriculture, transportation, surveying, emergency response and more. In this article, you will learn how to incorporate GNSS data and analytics into your decision making and problem solving processes.

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Cmdr (Dr.?) Reji Kurien Thomas , FRSA, MLE?

I Empower Sectors as a Global Tech & Business Transformation Leader| Stephen Hawking Award| Harvard Leader | UK House…

1 Know your GNSS options

The first step to incorporate GNSS data and analytics into your decision making and problem solving processes is to know your GNSS options and their characteristics. Depending on your location, application and accuracy requirements, you may need to use one or more GNSS constellations or augmentations. For example, GPS is widely available and compatible with many devices, but it may not provide sufficient accuracy or availability in some regions or environments. GLONASS, Galileo and BeiDou offer alternative or complementary signals and services, but they may have different levels of performance, reliability and interoperability. Augmentations, such as SBAS, GBAS, RTK and PPP, can enhance the accuracy and integrity of GNSS signals, but they may require additional equipment, infrastructure or subscriptions.

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Keith King

White House Lead Communications Engineer, U.S. Dept of State, and Joint Chiefs of Staff in NMCC
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Understanding the available GNSS options is crucial for integrating GNSS data into decision-making processes. The primary GNSS systems include GPS (United States), GLONASS (Russia), Galileo (European Union), and BeiDou (China). Each system has its own strengths and operational characteristics. GPS is renowned for its global coverage and high reliability, making it a preferred choice for many applications. Galileo offers enhanced accuracy and integrity monitoring, which is beneficial for safety-critical applications. GLONASS provides robust performance in high-latitude regions, while BeiDou's regional service is expanding globally, offering additional satellite visibility.

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2 Collect and process GNSS data

The second step to incorporate GNSS data and analytics into your decision making and problem solving processes is to collect and process GNSS data from your devices or sources. Depending on your application and objectives, you may need to use different methods and tools to acquire, store, transmit, analyze and visualize GNSS data. For example, you may need to use a GNSS receiver, antenna, logger, modem or smartphone to capture GNSS signals and data. You may need to use a software, platform or service to process GNSS data and correct errors, biases or anomalies. You may need to use a dashboard, map, chart or report to display GNSS data and analytics in a meaningful and actionable way.

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Keith King

White House Lead Communications Engineer, U.S. Dept of State, and Joint Chiefs of Staff in NMCC
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The collection and processing of GNSS data involve several steps, starting with selecting appropriate GNSS receivers and antennas based on the application's requirements. High-precision applications, such as surveying or geodesy, may require dual-frequency, multi-constellation receivers, while simpler applications, like vehicle tracking, might suffice with single-frequency receivers. Data collection should be planned to minimize environmental impacts, such as signal blockages or multipath effects, ensuring high-quality data acquisition. Processing GNSS data typically involves correction techniques to enhance accuracy.

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3 Apply GNSS data and analytics

The third step to incorporate GNSS data and analytics into your decision making and problem solving processes is to apply GNSS data and analytics to your specific problems and scenarios. Depending on your domain and context, you may need to use different techniques and strategies to leverage GNSS data and analytics for your purposes. For example, you may need to use GNSS data and analytics to monitor, track or optimize the location, movement or performance of your assets, vehicles, personnel or products. You may need to use GNSS data and analytics to measure, map or model the shape, size or features of your land, structures, resources or environment. You may need to use GNSS data and analytics to coordinate, communicate or collaborate with your partners, customers or stakeholders.

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Keith King

White House Lead Communications Engineer, U.S. Dept of State, and Joint Chiefs of Staff in NMCC
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Incorporating GNSS data and analytics into decision-making involves integrating positioning information into various operational workflows. For instance, in transportation logistics, GNSS data can optimize routing and scheduling, reduce fuel consumption, and enhance delivery accuracy. In agriculture, GNSS-guided precision farming techniques can improve crop yields and resource efficiency by enabling precise application of fertilizers and pesticides. Beyond operational enhancements, GNSS analytics can also support strategic decision-making. For example, urban planners can use GNSS data to analyze traffic patterns and identify areas requiring infrastructure improvements.

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4 Evaluate and improve GNSS data and analytics

The fourth step to incorporate GNSS data and analytics into your decision making and problem solving processes is to evaluate and improve GNSS data and analytics for your outcomes and impacts. Depending on your goals and indicators, you may need to use different methods and metrics to assess and enhance the quality, value and utility of GNSS data and analytics for your decisions and solutions. For example, you may need to use accuracy, precision, availability or integrity measures to verify and validate GNSS data and analytics. You may need to use cost, benefit, efficiency or effectiveness measures to compare and optimize GNSS data and analytics. You may need to use feedback, learning, innovation or adaptation measures to update and refine GNSS data and analytics.

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Keith King

White House Lead Communications Engineer, U.S. Dept of State, and Joint Chiefs of Staff in NMCC
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Continuous evaluation and improvement of GNSS systems and analytics are vital for maintaining their effectiveness and reliability. This involves regular performance assessments, comparing GNSS-derived positions with known benchmarks to identify discrepancies and areas for improvement. Techniques such as static and kinematic testing can provide insights into the accuracy and consistency of GNSS data under various conditions. Feedback loops are essential for iterative improvements. By analyzing performance metrics and user feedback, organizations can refine their GNSS configurations, update processing algorithms, and enhance data correction techniques.

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5 Explore and innovate with GNSS data and analytics

The fifth step to incorporate GNSS data and analytics into your decision making and problem solving processes is to explore and innovate with GNSS data and analytics for new opportunities and challenges. Depending on your curiosity and creativity, you may need to use different approaches and methods to discover and generate new insights, ideas and solutions with GNSS data and analytics. For example, you may need to use data mining, machine learning, artificial intelligence or big data techniques to extract and exploit hidden patterns, trends or relationships from GNSS data and analytics. You may need to use design thinking, prototyping, testing or iteration techniques to create and validate new products, services or experiences with GNSS data and analytics. You may need to use collaboration, networking, sharing or co-creation techniques to engage and empower your community, market or society with GNSS data and analytics.

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Keith King

White House Lead Communications Engineer, U.S. Dept of State, and Joint Chiefs of Staff in NMCC
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Exploring new applications and innovations with GNSS data can unlock additional value and opportunities. Emerging technologies such as autonomous vehicles, drones, and Internet of Things (IoT) devices can benefit significantly from accurate and reliable GNSS positioning. For instance, integrating GNSS data with IoT networks enables real-time tracking and management of assets across various industries, from logistics to agriculture. Innovative applications also include integrating GNSS data with other data sources, such as Geographic Information Systems (GIS) and remote sensing, to create comprehensive spatial analysis tools.

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6 Learn and grow with GNSS data and analytics

The sixth step to incorporate GNSS data and analytics into your decision making and problem solving processes is to learn and grow with GNSS data and analytics for your personal and professional development. Depending on your interests and aspirations, you may need to use different resources and opportunities to acquire and enhance your knowledge, skills and competencies with GNSS data and analytics. For example, you may need to use online courses, webinars, podcasts or blogs to learn the basics, fundamentals or best practices of GNSS data and analytics. You may need to use books, journals, reports or case studies to deepen your understanding, analysis or application of GNSS data and analytics. You may need to use mentors, coaches, peers or experts to expand your network, perspective or influence with GNSS data and analytics.

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Keith King

White House Lead Communications Engineer, U.S. Dept of State, and Joint Chiefs of Staff in NMCC
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Continuous learning and professional development are crucial for maximizing the benefits of GNSS data and analytics. Keeping abreast of the latest advancements in GNSS technology, software tools, and analytical methods through training, workshops, and conferences enhances the team's capabilities. Participating in professional networks and forums allows for knowledge sharing and collaboration with other experts in the field. Investing in education and training programs ensures that staff can effectively use and interpret GNSS data, making informed decisions based on accurate positioning information.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Cmdr (Dr.?) Reji Kurien Thomas , FRSA, MLE?

I Empower Sectors as a Global Tech & Business Transformation Leader| Stephen Hawking Award| Harvard Leader | UK House of Lord's Awardee | Fellow Royal Society | CyberSec I 200x LinkedIn Top Voice | CCISO CISM
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Use GNSS data to create dynamic geofences for various applications such as asset tracking and security. In a logistics operation, we implemented dynamic geofencing to monitor the movement of high-value assets. This system alerted us to any deviations from predefined routes, enhancing security and ensuring timely deliveries. Enhance GNSS accuracy using differential GNSS (DGNSS) methods, such as Real-Time Kinematic (RTK) and Post-Processing Kinematic (PPK). In a cadastral surveying project, we utilised RTK GNSS to achieve centimetre-level accuracy. This high level of precision was crucial for defining property boundaries accurately and resolving disputes.

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Keith King

White House Lead Communications Engineer, U.S. Dept of State, and Joint Chiefs of Staff in NMCC
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When incorporating GNSS data and analytics into decision-making processes, it is essential to consider data security and privacy. GNSS data, especially when integrated with other sensitive information, can pose risks if not properly managed. Implementing robust cybersecurity measures and data protection protocols ensures that GNSS data is secure and used responsibly. Compliance with relevant regulations and standards, such as GDPR for data protection, is also crucial. Another consideration is the cost and scalability of GNSS solutions. While high-precision GNSS equipment and correction services can be expensive.

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How do you incorporate GNSS data and analytics into your decision making and problem solving processes?

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1 Know your GNSS options

2 Collect and process GNSS data

3 Apply GNSS data and analytics

4 Evaluate and improve GNSS data and analytics

5 Explore and innovate with GNSS data and analytics

6 Learn and grow with GNSS data and analytics

7 Here’s what else to consider

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