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.

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.

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.

Under the guidance of the "dual carbon" goal and the background of global energy structure transformation, energy consumption monitoring has evolved from traditional extensive statistics to a refined, intelligent and full-scenario management system. As the "nerve endings" of energy consumption monitoring, smart sensing connects cutting-edge technological achievements at home and abroad. Among them, the breakthroughs of China's new-type sensors are particularly remarkable, which are gradually breaking technical barriers, penetrating from core industrial scenarios to various social terminals, injecting technological momentum into energy conservation, emission reduction and efficient management, and highlighting the core value of digitalization empowering people's livelihood.

In the era of cutting-edge technology where the "dual carbon" goal is deeply integrated with ESG strategies, office buildings, as core scenarios of urban energy consumption, have shifted their energy consumption monitoring from traditional extensive metering to intelligent, refined, and forward-looking transformation. The in-depth penetration of frontier technologies such as the Internet of Things (IoT), big data, and artificial intelligence (AI) has broken the limitations of traditional monitoring, building a full-chain system of "perception-analysis-optimization". It not only helps enterprises reduce costs and increase efficiency, but also injects technological momentum into green offices, promoting a qualitative leap in office building energy consumption management.

Against the backdrop of the advancing "dual carbon" goals and increasingly stringent energy conservation requirements for public institutions, office buildings, as an important type of high-energy-consuming public buildings, their energy consumption management level is directly related to energy utilization efficiency and the effectiveness of green building construction. As a core means of refined energy management, energy consumption monitoring solves the problem of blindness in traditional management by real-time collecting and scientifically analyzing energy consumption data, providing reliable support for office buildings to achieve energy conservation, consumption reduction, quality improvement and efficiency enhancement, and has become an essential measure for the operation and maintenance management of modern office buildings.