Embodied intelligence accelerating its start, the low-altitude economy gaining momentum, and artificial intelligence penetrating public governance and livelihood services—amid a new wave of technological and industrial transformation, Hangzhou is leveraging institutional innovation, scenario openness, and ecosystem collaboration to accelerate the journey of scientific achievements from laboratories to the market. The city is striving to build a nationally influential hub for artificial intelligence innovation.
Last October, under the theme of “building a city of innovation and vitality,” the General Office of the Hangzhou Municipal Party Committee openly addressed challenges such as talent attraction, policy coordination, and insufficient application scenarios during a televised public governance program. These issues drew widespread public attention. Have the rectifications been implemented? Have the commitments been fulfilled? Recently, a follow-up inspection group composed of municipal departments, deputies to the People’s Congress, CPPCC members, and media representatives conducted on-site investigations and provided interim answers.
Breaking Bottlenecks in Scenario Data
Ensuring Innovation Goes Beyond the Laboratory
In Linping District’s Computing Power Town, an intelligent robot named “Turing No.1” has become a new “colleague” in daily cleaning operations. From automatically identifying stains to completing cleaning tasks, human–machine collaboration has moved from concept to reality within minutes.
For technology-driven enterprises, real-world application scenarios are not only showcases but also critical data sources for rapid iteration. In the past, insufficient scenario openness was a frequent concern. Today, as public spaces such as citizen service centers, airports, and streets are gradually opened to enterprises, companies can validate and optimize technologies in real environments, accelerating the transition from “usable” to “highly usable.”
Relevant departments in Linping District have also introduced systematic support measures for technology enterprises, ranging from innovation funds and computing subsidies to talent and land guarantees. Together, these form a long-term support mechanism covering the journey “from 0 to 1,” providing institutional backing for enterprises to overcome growth bottlenecks.
Amplifying the “First-to-Fly” Advantage
Building a Hangzhou Model for the Low-Altitude Economy
At the Future Science Park of Nanhu in Yuhang District, the “China Fly Valley” has officially been approved as a civil drone test flight and operation base, offering one-stop services such as R&D testing, flight verification, training, and education for low-altitude industry enterprises. This platform directly addresses long-standing pain points faced by drone companies, including high testing costs and fragmented test sites.
Companies deeply engaged in the drone sector generally believe that the scaled development of the low-altitude economy requires not only application scenarios but also the parallel improvement of standards and infrastructure. Currently, Yuhang District is promoting the accelerated deployment of drones in urban inspection, emergency firefighting, and agricultural and forestry operations through measures such as standardized takeoff and landing points, testing service systems, and fiscal support—continuously strengthening its “first-mover” industrial advantage.
Expanding the Boundaries of Intelligent Services
Bringing Technological Achievements into Public Life
From exoskeleton robots entering parks to intelligent assistive devices being included in age-friendly subsidy programs, Hangzhou is pushing artificial intelligence technologies from “laboratory results” into “doorstep services.” To address the challenge that some technological products are well-received but not widely adopted, the government is helping enterprises enhance market visibility and expand application reach through platform matchmaking, scenario trials, and coordinated mechanisms.
This demand-driven innovation path—where scenarios feed back into technology development—is gradually forming Hangzhou’s distinctive model of “localized technology commercialization,” laying a practical foundation for the deep integration of artificial intelligence and the low-altitude economy.
From “Able to Fly” to “Flying Stably”
The Connectivity Foundation Behind Low-Altitude Applications Takes Shape
As drones are increasingly used in urban governance, emergency response, and industrial services, stable, long-range, and interference-resistant wireless connectivity has become critical infrastructure for the scaled development of the low-altitude economy. In complex electromagnetic environments and cross-regional operations, the reliability of communication systems directly determines the safety boundaries and efficiency limits of low-altitude applications.
Against this backdrop, Shenzhen Ofeixin Technology Co., Ltd. is closely following the trend of the low-altitude economy. Targeting low-altitude flight application scenarios, Qogrisys has launched a mature, end-to-end product solution—the O9201UDH drone communication module—specifically designed for low-altitude flight and capable of seamlessly supporting such applications. Based on a Wi-Fi 6 and Bluetooth 5.4 architecture, the module supports an external FEM solution, with maximum transmit power up to 30 dBm, significantly enhancing link budget and coverage. It also supports 5 MHz and 10 MHz narrowband operating modes, offering clear advantages in long-distance, low-interference, and high-stability scenarios.
Whether for city-wide drone inspection networks or campus-scale, clustered low-altitude deployments, the O9201UDH strikes a balance between power, stability, and bandwidth flexibility, providing a reliable device-side wireless connectivity foundation for the low-altitude economy.
When policy, scenarios, and technology work in synergy, the low-altitude economy is no longer just about “taking off,” but about flying stably, farther, and longer. Hangzhou stands at the forefront of this transformation.
