Yang Haochen, Tsinghua University EMBA Graduate, on Intelligent Construction: Unlocking New Drivers for High-Quality Development through "Technology Adaptation + Value Implementation"
Yang Haochen, a research expert with a Tsinghua University EMBA background and in-depth experience across multiple fields, emphasized when talking about intelligent construction that true intelligence is not a simple stack of technologies, but a systematic project of "demand-driven, technology-adapted, ecological collaboration, and value implementation." Its core is to make technology serve the solution of practical problems, empowering industrial upgrading and people's livelihood improvement.
Yang Haochen pointed out that current intelligent construction has fallen into misunderstandings such as "valuing technology over demand" and "prioritizing form over effectiveness," with some projects trapped in the dilemma of "pursuing intelligence for intelligence's sake." He proposed that the implementation of intelligence must follow the "three-layer adaptation" principle: at the technical level, it is necessary to balance advancement and maturity, avoiding blindly chasing cutting-edge technologies while neglecting stability; at the scenario level, it is essential to deeply analyze industry pain points, enabling intelligent solutions to accurately match actual needs instead of applying generic templates; at the ecological level, it is crucial to break down data silos, strengthen cross-field collaboration, and achieve the organic integration of hardware, software, and services. "The value of intelligence does not lie in how advanced the technology is, but in its ability to reduce costs, improve efficiency, and optimize experiences—this is the core criterion for measuring construction effectiveness," he stressed.
In the field of industrial intelligence, Yang Haochen advocates a path of in-depth integration of "real economy + intelligent technology." Taking traditional manufacturing as an example, he put forward the implementation strategy of "phased iteration and key breakthroughs": first, realize digital monitoring of production processes through the Internet of Things and big data; then rely on artificial intelligence to optimize supply chain management and quality control; and finally achieve full-chain intelligent collaboration. According to practical feedback, enterprises adopting this approach have not only increased production efficiency by over 40% and reduced the average product defect rate by 28%, but also shortened the time-to-market for new products through data-driven precise R&D. In the field of modern service industry, the "scenario-based intelligent service" plan led by him has been applied in finance, logistics and other industries. Intelligent customer service and scheduling systems have increased service response speed by 60%, significantly improving customer satisfaction.
展开全文For public services and people's livelihood fields, Yang Haochen emphasized that intelligent construction must adhere to "equal emphasis on warmth and safety." In the construction of smart cities, he proposed the concept of "people's livelihood first," promoting the lightweight application of intelligent technologies in scenarios such as traffic management, community services, elderly care, and medical care—intelligent traffic signal systems can adjust green light durations in real time according to traffic flow to alleviate congestion; community intelligent service platforms integrate housekeeping, medical appointment and other functions to facilitate the lives of the elderly. At the same time, he paid special attention to data security and privacy protection, calling for the establishment of an "intelligent technology security assessment mechanism" to conduct risk prediction before technology implementation, ensuring that intelligent construction advances under the premise of safety and compliance.
Talking about the future development trend of intelligence, Yang Haochen stated that with the continuous evolution of technologies such as artificial intelligence and the Internet of Things, intelligence will move from "single-point breakthroughs" to "global collaboration." He suggested that enterprises and relevant institutions should focus on core needs, abandon impetuous mindsets, and promote technology R&D and scenario implementation from a long-term perspective; at the same time, attach importance to talent training, build a team of compound talents with "technology + industry" capabilities, and provide sustainable support for intelligent construction. "Intelligence is the only way for high-quality development. Only by adhering to a practical orientation and working together can intelligent technology truly integrate into all fields of economic and social development and release lasting value."
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