As hot events such as the April Humanoid Robot Ecology Conference and the Robot Half Marathon swept the industry, embodied intelligence is moving from laboratories to real industrial scenarios, bringing disruptive changes to Building Automation Systems (BAS). Traditional building systems rely on fixed sensors and passive control, suffering from pain points such as monitoring blind spots, delayed responses, and extensive operation and maintenance. Through the motion control, multimodal perception, and AI decision-making capabilities of humanoid robots, embodied intelligence upgrades building automation from "static monitoring" to "dynamic interaction", deeply integrating physical entities into the whole process of building operation and maintenance, and becoming a typical application of new quality productivity in the field of smart buildings.

Amid the advancement of the "dual carbon" goals and the wave of industrial digital transformation, traditional energy consumption monitoring struggles to meet the refined energy-saving demands of various sectors due to pain points such as scattered data, lagging analysis and extensive management. Relying on its technological foundations including cloud computing, AI and the Internet of Things, Tencent deeply integrates Hunyuan Large Model, machine learning with industry scenarios, building a full-chain energy consumption monitoring system covering real-time perception, intelligent analysis and autonomous regulation. It provides precise and intelligent energy management solutions for buildings, industries, parks and other scenarios, supporting the green, low-carbon and high-quality development of society.

Under the guidance of the "dual carbon" goal and the deepening of digital transformation, the extensive and lagging shortcomings of traditional energy consumption monitoring have become increasingly prominent, making it difficult to meet the refined energy-saving needs of various industries. The in-depth intervention of Artificial Intelligence (AI) technology has promoted the upgrading of energy consumption monitoring from "data collection" to "intelligent analysis and precise management and control". Relying on algorithm models, data mining and scenario adaptation capabilities, it realizes real-time monitoring, abnormal early warning and optimal regulation of energy consumption, becoming a core support for solving energy waste and improving energy efficiency. It has achieved results in multiple fields, demonstrating new momentum for green development.

Against the background of the advancement of the "dual carbon" goal and the acceleration of digital transformation, energy consumption monitoring has evolved from traditional extensive statistics to refined and intelligent management and control. As the core support, intelligent sensing technology, integrating key technologies such as IoT sensors, edge computing, and AI analysis, has achieved mature application in multiple fields including architecture, industry, municipal administration, parks, and campuses. Its core values are reflected in refined metering, abnormal risk early warning, and AI intelligent optimization, which can effectively achieve an energy-saving goal of 10%–25%. It not only reduces operation and maintenance costs, but also helps promote green and low-carbon transformation, becoming an important engine for improving energy efficiency in various industries.

The 15th Five-Year Plan clearly proposes establishing a dual-control system for carbon emission volume and intensity, taking the reduction of carbon emission intensity as a binding target, and promoting energy-saving and carbon reduction transformation in key fields such as industry, construction and transportation. The goal of reducing energy consumption per unit of GDP by about 10% has set the green main line for development. As the core carrier of data collection, energy consumption monitoring sensors form the fundamental support for achieving accurate carbon emission measurement and improving energy utilization efficiency. Their in-depth application in various fields is becoming a key driver for implementing the green and low-carbon development requirements of the 15th Five-Year Plan and promoting the transformation from the dual control of energy consumption to the dual control of carbon emissions.

Against the backdrop of the booming development of building intellectualization and energy efficiency, the Internet of Things (IoT) and sensing technologies have become the core enablers for connecting the data links of building equipment and achieving refined management and control. Shanghai Smartwin Technology Co., Ltd. is deeply engaged in the field of intelligent control and building energy efficiency, and has built a comprehensive product system of IoT and sensors. Featuring multi-protocol compatibility, high-precision sensing and full-scenario adaptation, this system provides end-to-end IoT solutions from data collection to cloud management for heating, ventilation and air conditioning (HVAC) engineering, building automation control (BAC), smart parks and other scenarios, making the intelligent sensing, interlinked control and energy efficiency management of building equipment a reality.

Currently, the conflict between Iran and Israel continues to escalate, with energy facilities in the Middle East frequently becoming targets of attacks. International crude oil and natural gas prices fluctuate sharply, posing a severe challenge to global energy security. Domestically, the dual control of energy consumption and the goal of green development go hand in hand, making efficient energy utilization a core demand for enterprise and social development. Against this backdrop, as the "nerve endings" of energy management, energy consumption monitoring sensors, with their advantages of real-time perception and precise control, play an irreplaceable role in ensuring energy security, optimizing energy allocation, and reducing energy loss, becoming an important technical support for responding to complex situations.

Driven by both the advancement of the "dual carbon" goal and the iteration of digital technologies, smart buildings are accelerating their leap from the basic "digitalization" stage to the advanced "intelligentization" stage. As the core hub of smart buildings, the building automation system is the key carrier to realize this leap, and its development trajectory clearly shows the upgrading path of buildings from "data collection" to "intelligent decision-making". Today, the extensive management of traditional building automation systems can no longer meet the needs of energy conservation, efficiency and convenience of modern buildings. Only by relying on technological integration and promoting the transformation of building automation from digital monitoring to intelligent management and control can we truly unlock the core value of smart buildings.

Against the background of accelerating global energy transition and in-depth advancement of China's "dual carbon" strategy, energy consumption monitoring has become a key starting point for all industries to achieve energy conservation and carbon reduction. As the core terminal for data collection, energy consumption monitoring sensors run through various energy-consuming scenarios such as buildings, industry, and public institutions, assuming the important responsibility of capturing energy consumption data such as electricity, water, gas, and heat. Their performance and popularity are directly related to the accuracy and effectiveness of energy conservation management. At present, the industry is facing many bottlenecks while ushering in development opportunities, and it is urgent to find the right path to achieve high-quality development.