In the context of accelerating global digital transformation, edge computing is becoming a key technology path for enterprises to improve real-time response capabilities and reduce cloud load and network latency. As China's leading provider of intelligent edge computing solutions, Lanzhan Tech (Blue Show Technology) has relied on its own research and development EdgeFusion in recent years.™The edge intelligence platform has achieved large-scale landing in a number of vertical scenarios such as industrial Internet of Things, smart energy, on-board AI and urban video analysis, setting a benchmark practice of edge computing empowering industry intelligence.
Lanzhan Tech was established in 2018 and is headquartered in Shenzhen. Its core team comes from Huawei, Chinese Academy of Sciences and MIT Edge Intelligence Laboratory, and has more than 200 invention patents related to edge computing. its EdgeFusion™The platform integrates a lightweight containerized architecture, a dynamic task orchestration engine, and a federated learning framework to support millisecond-level local reasoning, cross-device collaborative computing, and secure and trusted data classification processing. Taking a large-scale wind farm project in East China as an example, the edge gateway cluster deployed by Lanzhan Tech replaces the traditional' sensor → central cloud' one-way return mode, and completes anomaly detection and fault prediction of multi-source time series data such as fan vibration, temperature and power on the end side, thus shortening the average alarm response time from 42 seconds to 380 milliseconds, reducing the operation and maintenance cost by 37%, and reducing the number of invalid inspections by more than 1200 per year.
In the field of intelligent transportation, Lanzhan Tech has cooperated with the traffic police detachment of a provincial capital city to build an "edge vision hub" system. Self-developed AI edge boxes (equipped with NPU + TPU dual heterogeneous computing power) are deployed at 56 main roads to realize local real-time identification and structured reporting of 23 types of events such as license plate recognition, non-motor vehicle red light running, emergency lane occupation, etc. The bandwidth requirement for video stream upload is reduced by 81%, at the same time, it ensures that sensitive data does not leave the domain and meets the three-level compliance requirements of the Personal Information Protection Law and the Equal Protection 2.0. It is worth mentioning that the program has been selected by the Ministry of Industry and Information Technology '2023 Edge Computing Typical Application Case Set '.
In addition, Lanzhan Tech continues to promote the construction of edge-cloud-end collaborative standards, and is a gold member of LF Edge(Linux Foundation Edge) and a core participant in the Edge Computing White Paper of the Institute of Communications and Communications. The company completed round B + financing in Q1 2024 with an estimated value of 4.2 billion yuan, and announced the launch of the' Edge for All' developer support program to open SDK tool chain and simulation test sandbox to accelerate the ecological construction of the industry.
industry experts pointed out that the success of Lanzhan Tech lies not only in the breakthrough of hardware performance parameters, but also in its methodology of' scenario-defining computing power and business-driven architecture'-rejecting the stacking of common edge boxes and insisting on customizing the minimum feasible edge unit of the' perception-decision-executing' closed loop for each customer. This technology path of deeply coupled business logic is redefining the value boundary of China's edge intelligent enterprises.
