Low-Altitude Economy Management Platform | Drone Delivery Management System
With breakthroughs in core technologies like drones and eVTOL, the applications of low-altitude economy have greatly expanded, extending from traditional areas such as agricultural and forestry plant protection and industrial line inspections to emerging fields like urban air mobility and low-altitude logistics delivery, paving new paths for the digital and intelligent transformation of numerous industries.
Final Product
Using Hightopo’s low-code SCADA platform, we developed a lightweight smart city monitoring platform for low-altitude operations. The platform enables service innovations in airspace management, smart logistics, and food delivery through route optimization, cost control, and risk warning systems. Its 3D visualization capabilities support intelligent route planning and dynamic navigation. The platform excels in essential functions including route optimization, task coordination, and risk prediction.
Control Center GIS Urban Modeling Using the low-code development platform, Hightopo builds GIS-based 3D digital twin city scenarios. These scenarios accurately recreate urban elements including terrain, buildings, road networks, and vegetation, supporting highly customizable modeling to improve the precision and efficiency of urban planning and design. It also provides high-precision ground reference information for drones, enabling precise navigation and intelligent obstacle avoidance.
Airspace Drone Monitoring Based on the global navigation satellite system, multi-source sensor fusion, and air-ground communication link technology, the system achieves comprehensive real-time monitoring of drones. It can dynamically acquire key parameters such as the drone’s spatial position, airspeed, altitude, and flight attitude. When the system identifies a flight conflict risk, it simultaneously triggers two response measures: pushing warning information to controllers on one hand, and transmitting real-time flight instructions and situational data to drone terminals on the other, helping operators adjust flight paths promptly.
Control Center Statistics This platform collects drone flight route data to optimize paths and maximize airspace efficiency. It tracks daily drone operations to streamline resource allocation and scheduling. The system also analyzes violation incidents to continually refine flight management protocols and enhance airspace security measures.
Route Management Before executing drone flight missions, route management personnel can use Hightopo’s intelligent route planning functionality to simulate and plan safe and efficient flight paths within the 3D visualization environment.
The intelligent route drawing feature provides users with convenient operation methods, allowing them to either precisely select points directly on the map or input coordinate values to easily complete the drone flight route creation. Users can flexibly set the route’s starting point, destination, and waypoints, as well as precisely configure key parameters such as flight altitude and speed.
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Route Overview The system interface allows users to view and manage various drone flight routes, including civil aviation routes. The page uses colorful flow effects to display different types of routes intuitively.
When users click on a specific route, the 3D scene displays its distribution, start and end points, average altitude, position, and other information, providing comprehensive data support for the airspace management control center.
Weather Station Alerts Before executing drone flight missions, operators check warning data from weather stations including temperature, real-time rainfall, wind direction, and wind speed to ensure drones take off under suitable weather conditions and prevent accidents caused by adverse weather.
Express Delivery & Logistics Delivery Track Monitoring The platform conducts comprehensive real-time monitoring of drone delivery logistics tasks, dynamically tracking the drone’s flight status, spatial position, and delivery progress. Based on intelligent algorithms, the system can automatically identify abnormal conditions (such as technical failures, sudden weather changes, etc.) and trigger emergency response mechanisms. Operators can intervene in real-time by sending remote commands and simultaneously push safety handling solutions to effectively avoid accident risks.
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Logistics personnel can push real-time updates to users regarding drone location and estimated package arrival time, achieving end-to-end traceability of package logistics, helping improve logistics service transparency, and optimizing user experience.
Express Logistics Data Statistics The system monitors environmental data in real-time, such as temperature, humidity, and wind speed, dynamically adjusting drone flight parameters based on environmental conditions to improve flight efficiency. The system can perform statistical analysis of warning information, precisely analyze failure causes, and provide data support for drone maintenance. Additionally, the platform automatically summarizes daily data, including drone delivery frequency, success rate, and average delivery time. The comprehensive results evaluate daily operational efficiency, supporting users in making data-driven decisions.
No-Fly Zone Monitoring The system graphically displays the No-fly zone for unmanned aircraft in an intuitive way. During drone flights, it monitors in real-time whether drones enter no-fly zones to prevent them from accessing sensitive areas.
Food Delivery Delivery Track Monitoring The entire delivery process is monitored from when the drone takes off from the merchant until the food is delivered to the pickup cabinet, ensuring safe drone delivery and enabling a timely response to potential anomalies.
Drone Queue Delivery Mechanism During peak hours, multiple drones may attempt to deliver to the same food pickup cabinet simultaneously. To avoid aerial traffic congestion and improve delivery efficiency, the platform employs real-time monitoring, intelligent scheduling algorithms, and high-speed communication technology to provide management staff with data analysis and decision support, enabling orderly drone deliveries.
Data Statistics Monitoring The platform also collects and analyzes delivery operations data, covering delivery data from various regions, delivery efficiency statistics, and equipment utilization rates. Through these data analyses, it explores potential opportunities to optimize delivery routes and strategies to improve delivery efficiency.
Advantages Traditional 2D map-based drone visualization management platforms struggle to adapt to complex scenarios and cannot meet the demands for high-precision data processing, multi-source information integration, and complex environment simulation. The Hightopo integrated 2D-3D low-altitude economy dispatch and delivery platform stands out with distinct advantages, capable of precisely replicating terrain, buildings, meteorological and other elements, providing accurate environmental data for drone flights, and significantly improving data processing precision. In terms of multi-source information integration, it can seamlessly connect with various data sources, combining weather, traffic, logistics and other information with real-time interaction, providing a comprehensive and accurate basis for dispatch decisions. It can also simulate and conduct scenario planning for complex environments and emergencies, allowing for advanced strategy development.
Moving forward, the Hightopo platform will further expand its functionality, such as integrating with intelligent transportation systems to achieve coordinated management of drones and ground traffic; explore integrated drone applications in other industries, such as agricultural plant protection and power line inspection. This will deeply empower the drone industry, promoting its steady advancement toward healthy and sustainable development, helping the low-altitude economy become a new engine for economic growth.