When the city skyline is illuminated by drone logistics networks, and when the emergency rescue system is restructured with low altitude aircraft, an industrial revolution extending from a height of thousands of meters is accelerating.

As a strategic emerging industry in global competition, the low altitude economy is not only a spatial expansion in transportation, but also a super track for the deep integration of digital technology, aerospace technology, and the real economy. As a leading enterprise in China's geographic information industry, Zhongdi Digital has built an integrated low altitude digital infrastructure system of "perception decision-making control service" with MapGIS full space intelligent platform as the core. It provides a full stack solution for efficient utilization of airspace resources, comprehensive guarantee of flight safety, and innovative landing of application scenarios, helping China's low altitude economy move from a "policy blueprint" to a "three-dimensional reality". ‍

01 Building a digital twin engine that integrates space, sky, and earth

●All factor data fusion, solving the problem of low altitude "transparency"

Faced with the challenge of massive heterogeneous data governance in the low altitude field, Zhongdi Digital innovatively creates a dual engine of "Beidou Grid+Spatiotemporal Intelligence". By integrating multi-source heterogeneous data such as low altitude airspace environment, infrastructure, and flight activities (covering over 20 data sources such as Oracle and Dameng, as well as over 100 formats such as vector, image, and 3D), the MapGIS platform establishes a unified spatiotemporal identification system based on Beidou grid partitioning technology, achieving centimeter level accuracy for global data cleaning, conversion, and fusion.

Relying on the lightweight processing capability of TB level oblique photography data and multi terminal rendering engine, we construct a full element digital twin of airspace grid, air routes, aircraft and urban buildings, supporting large-scale 3D visualization (100+FPS frame rate), real-time dynamic updates (aircraft position/status synchronization in seconds) and multi-dimensional spatiotemporal analysis (line of sight analysis, buffer analysis, etc.), accurately mapping the low altitude physical world into a computable, imitable and controllable digital space, providing a transparent base for intelligent management of airspace resources, and solving the industry pain points of "invisible airspace resources and difficult tracking of flight status".

●Intelligent algorithm cluster, low altitude decision-making computing power center

The MapGIS platform integrates mainstream AI frameworks such as TensorFlow, PyTorch, PaddlePaddle, and DeepSeek multimodal large models to build a 300+distributed spatiotemporal operator cluster covering vectors, images, real-time streams, text, and machine learning; By integrating multi-source data such as satellite remote sensing and aerial photography, a large-scale intelligent recognition model for geographic elements is constructed, which supports 46 semantic segmentation, 4 change detection, 5 object detection, and second level processing of billions of spatial data.

Fully support low altitude airspace planning such as airspace planning, air flow, dynamic allocation, as well as low altitude flight planning such as spatial analysis and path planning; At the same time, it has disaster weather forecasting and warning technology for low altitude navigation, as well as fine numerical simulation technology for urban near ground atmospheric boundary layer, which can improve the low altitude meteorological support capability, ensure aircraft flight safety, enhance the platform's real-time emergency response capability, and provide an intelligent decision engine that integrates "data algorithm computing power" for airspace management.

●Security prevention and control system, weaving a dense flying "protective net"

Build a full chain security defense line of "perception warning disposal", integrating real-time positioning data of aircraft, dynamic rules library of airspace, and three-dimensional geographic information to create an intelligent supervision system that responds in seconds. The platform adopts video spatialization technology to achieve unmanned aerial vehicle trajectory tracking and visual scheduling, real-time monitoring of core parameters such as flight altitude, speed, heading, etc., and supports fast access to multimodal interactive commands; Simultaneously establish a three-level warning mechanism to assess risks such as route deviation, no fly zone intrusion, and airspace flow exceeding limits in real time, and build an all-weather safety barrier for efficient utilization of airspace resources.

02 Drive the deep integration of low altitude economy and various industries

The low altitude economy is accelerating its penetration into core areas such as urban management, livelihood services, and industrial upgrading. Through the deep integration of digital twins and spatial intelligence technology, it injects new three-dimensional, real-time, and intelligent momentum into traditional industries.

Reconstruction of emergency rescue system:By relying on digital twin technology, it is possible to achieve three-dimensional linkage between disaster development deduction, risk dynamic assessment, and intelligent dispatch of emergency resources. By integrating sensor data, satellite images, drone imagery, etc., real-time monitoring of disaster sites can be achieved, tracking the location, status, and availability of rescue equipment, materials, and personnel, and achieving real-time management and scheduling of rescue resources.

Low altitude logistics network innovation:By using digital twin technology to construct a logistics digital twin with virtual real mapping, the physical facilities such as storage outlets and transfer yards are perceived with all elements of resources such as aircraft and personnel. Relying on intelligent algorithm clusters to dynamically deduce path planning and capacity scheduling, providing end-to-end intelligent decision support for airspace logistics networks.

Promote unmanned low altitude inspection:Currently, inspection information is mostly displayed through remote sensing images. Digital twins can be used for full element digitization and semantic modeling of cities through multi-level and multi-level data collection in the air, space, and ground. Through collaboration with relevant departments, drones can be used in batches for daily inspections, infrared temperature measurement, fault location, and clearing of floating objects.

Empowering the application of water management and watershed "four pre planning":Based on the urban twin platform, a digital twin scenario of the watershed can be constructed, linked with low altitude governance methods, integrating comprehensive business data such as water and rain monitoring, river and lake management, meteorological monitoring, emergency supplies, etc., combined with hydrodynamic models, water conservancy knowledge, etc., to achieve watershed situational awareness, intelligent scheduling, and intelligent control of the entire process of "forecasting, warning, rehearsal, and contingency plan".

With the deep integration of digital twins, artificial intelligence, and aerospace technology, the low altitude economy is moving from infrastructure construction to a new stage of global intelligent operation. In the future, Zhongdi Digital will continue to deepen technological innovation and ecological cooperation, helping the low altitude economy move from infrastructure construction to comprehensive intelligent operation, opening up a three-dimensional and sustainable new space for urban governance and industrial development.