Virtual Simulation of UAV (Unmanned Aerial Vehicle) Delivery in WebGIS

With the breakthroughs in core technologies such as drones and eVTOLs, the application scenarios of the low-altitude economy have been greatly expanded. It has extended from traditional fields such as agricultural and forestry plant protection and industrial line inspection to emerging fields such as urban air mobility and low-altitude logistics distribution, opening up new paths for the digital and intelligent transformation of numerous industries.

Hightopo uses low-code digital twin tools to create a lightweight smart city GIS low-altitude economy drone operation and maintenance monitoring platform. In scenarios such as airspace management, smart logistics, and food delivery, it achieves service innovation goals such as route optimization, cost control, and risk early warning. Combined with spatial semantic analysis, it provides a 3D perspective, enabling intelligent route planning and dynamic navigation, and has irreplaceable advantages in core functions such as route optimization, task collaboration, and risk prediction. Dispatcher Center GIS Urban Modeling Relying on its self-developed HT 2D and 3D collaborative design and low-code development tools, Hightopo constructs a dynamic GIS 3D digital twin urban scenario. This scenario restores urban elements such as terrain, buildings, road networks, and vegetation with high precision, supports highly customized modeling, and improves the accuracy and efficiency of urban planning and design. At the same time, it provides high-precision ground reference information for drones, enabling precise navigation and intelligent obstacle avoidance.

Airspace Drone Monitoring Relying on global navigation satellite system (GNSS) positioning, multi-source sensor fusion, and air-ground communication link technologies, it realizes real-time monitoring of all elements of registered drones. The system can dynamically obtain key parameters of drones, such as spatial position, airspeed, altitude, and flight attitude. Once a flight conflict risk is identified, a dual-path response will be triggered synchronously: pushing early warning information to air traffic controllers, and at the same time, transmitting flight commands and situation data to the drone terminal in real time to assist operators in adjusting the flight path.

Dispatcher Center Data Statistics The Hightopo monitoring platform optimizes the design of flight routes by collecting the common flight route data of drones connected to the platform, improving the utilization rate of airspace resources. It can record the flight situation of drones connected to the platform on the same day, providing convenience for resource allocation and scheduling. At the same time, it deeply mines the data of illegal events, iteratively updates the flight management rules, and strengthens the airspace safety protection system. Express Logistics Delivery Track Monitoring The Hightopo visualization system conducts real-time monitoring of all elements of the drone express logistics task, dynamically tracking the flight status, spatial position, and delivery process of the drones. Based on intelligent algorithms, the system can automatically identify abnormal working conditions (such as technical failures, sudden weather changes, etc.) and trigger the emergency response mechanism. Operators can conduct real-time intervention by sending remote commands and synchronously push safety disposal plans, effectively avoiding accident risks.

Logistics personnel can push the position of the drone and the estimated delivery time of the package to users in real time, realizing the full traceability of the package logistics dynamics, helping to improve the transparency of logistics services and optimizing the user experience.

Express Logistics Data Statistics The system monitors environmental data in real time, such as temperature, humidity, wind speed, etc., and dynamically adjusts the flight parameters of drones according to the environmental conditions to improve flight efficiency. The Hightopo system can conduct statistical analysis of alarm information, accurately analyze the causes of failures, and provide data support for the maintenance of drones. At the same time, the platform automatically aggregates data such as the number of drone deliveries, success rate, and average time used on the same day. The comprehensive results evaluate the daily operation efficiency, helping users make scientific decisions. No-Fly Zone Monitoring The system intuitively displays the no-fly zones of drones in a graphical way. It monitors in real time whether the drones enter the no-fly zones during their flight to avoid drones entering sensitive areas.

Food Delivery - Delivery Track Monitoring It monitors the whole process of drones from taking off at the merchant until delivering the food to the pickup cabinet, ensuring the safety of the drone delivery process and promptly responding to possible abnormal situations.

The traditional 2D planar map-based drone visualization platform is difficult to adapt to complex scenarios and cannot meet the requirements of high-precision data processing, multi-source information fusion, and complex environment simulation. The Hightopo 2D and 3D integrated low-altitude economy dispatching and delivery platform has outstanding advantages. It can finely restore elements such as terrain, buildings, and weather, providing precise environmental data for drone flights and significantly improving the accuracy of data processing. In terms of multi-source information fusion, it can seamlessly connect to various data sources, integrate information such as weather, transportation, and logistics, and interact in real time, providing a comprehensive and accurate basis for dispatching decisions. It can also conduct simulation and deduction of complex environments and unexpected situations and formulate response strategies in advance.