Today, blue skies have become a regular feature of Beijing's urban landscape. Residents can enjoy clear skies during the day and a star-filled sky at night, with fresh air now a tangible part of daily life. Since the start of the 14th Five-Year Plan, the number of days with good air quality in Beijing has steadily increased, and the overall air quality continues to improve. This impressive achievement in blue skies is the result of a dual push from technological innovation and institutional reform. Beijing has built a comprehensive intelligent environmental sensing network covering the entire city, integrating monitoring, supervision, and inspection. By leveraging data, it has achieved efficient coordination among these three areas, using precise measures to optimize air pollution control. Through digital and intelligent means, the city is safeguarding its blue skies, pushing the capital's atmospheric environment governance toward a more refined and modern approach.

Comprehensive Sensing Network Dense Air Pollution Prevention Grid

Walking through the streets and alleys of Beijing, small, compact air quality monitoring devices are scattered in community corners and neighborhood blocks, operating 24/7 to track dynamic changes in pollutants like PM2.5, safeguarding the air quality right at residents' doorsteps. On the roads, mobile monitoring vehicles continuously patrol, collecting air data as they move. If they detect an abnormal concentration of local pollutants, they can quickly pinpoint the polluted area. Inside various production enterprises, smart devices are installed on production equipment and pollution control facilities, recording in real-time the start and stop of equipment and the proper functioning of treatment systems. Heavy-duty diesel trucks on the road are uniformly equipped with onboard smart terminals, allowing their exhaust emissions and driving routes to be monitored online. On construction sites, smart surveillance cameras are densely placed at key points, enabling one-click capture of violations such as uncovered dust and bare soil, or vehicles leaving with mud. In recent years, Beijing has continuously deepened its digital and intelligent ecological environment construction, establishing a high-density environmental sensing network for a mega-city that is leading in China and rare globally. This is complemented by a remote online monitoring system for heavy-duty vehicles, with over 200,000 smart sensing terminals deployed across the city, covering urban areas, townships, industrial parks, construction sites, and major traffic thoroughfares. Previously hidden, scattered, and hard-to-detect pollution sources are now transformed into real-time, fluctuating data on the platform. Invisible and untouchable polluting behaviors are now exposed in the face of massive monitoring points. These dense smart devices act as the city's "all-seeing eyes," capturing the entire city's atmospheric environment and laying a solid data foundation for precise pollution control. From the city's core to its suburban townships, and from industrial plants to construction sites, the sensing tentacles of air pollution extend to every corner, truly achieving dynamic visualization of pollution sources and real-time control of pollution trends.

Closed-Loop Scheduling Creates Precise Supervision Model

The entire sensing network is equipped with over 30 types of artificial intelligence algorithms. The system automatically aggregates massive monitoring data, intelligently screens and identifies various environmental anomaly clues, and then, through a linkage mechanism among monitoring, supervision, and inspection departments, dispatches tasks by level and handles them in a closed loop, transforming static data into practical and effective governance measures. This is the core advantage of the "three-supervision" linkage mechanism: it not only maintains the bottom line of environmental protection but also minimizes unnecessary disruption to compliant enterprises, achieving a win-win situation of efficient law enforcement and reduced burden for businesses. In the past, environmental law enforcement relied almost entirely on personnel physically visiting sites. Law enforcement officers would have to enter each factory, review records, and inspect equipment one by one, requiring companies to frequently arrange staff for inspections, consuming significant manpower and resources. Now, the logic of supervision has been completely transformed: if a company's production is standardized, its pollution control equipment is running stably, and all monitoring data is normal, law enforcement departments will no longer conduct unannounced inspections. Companies can focus all their energy on production and operations. Only when the smart platform detects data anomalies or abnormal emissions, and relevant clues are automatically pushed, will law enforcement personnel visit for on-site verification with specific issues and precise clues, targeting the problem. In the areas of mobile source pollution prevention and construction dust control, the advantages of refined supervision are equally prominent. Previously, at entry checkpoints into Beijing and on major urban roads, vehicles were randomly stopped and checked year-round, causing compliant trucks to often lose time waiting in lines for inspections. Now, data from over 200,000 heavy-duty diesel trucks in the city is integrated into the smart platform. The system can pre-screen vehicles with excessive emissions or abnormal operation, conduct targeted checks on abnormal vehicles, and ensure the smooth passage of compliant vehicles. This controls exhaust pollution while ensuring the efficient operation of the city's logistics. Construction dust management has moved away from the method of 24/7 manual patrols. Once smart cameras detect issues like insufficient watering, uncovered bare soil, or unqualified vehicle washing, the platform can first issue remote warnings and urge the enterprise to self-correct. Beijing has gradually formed a full-chain closed-loop management system: "Monitoring and sensing initiation—supervision, coordination, and scheduling—inspection and law enforcement supervision." Every clue's source is traceable, every inspection has a basis, and every rectification is closed-loop and feedback-provided. Environmental supervision is shifting towards a "precise drip irrigation" model of targeted control, continuously optimizing the business environment and achieving a unified balance between strict law enforcement and convenience for the people and enterprises.

Smart Model Connects Environmental Governance Endpoints

With the deployment and application of the capital's "three-supervision" linkage large model for the ecological environment, professional environmental analysis capabilities and full-chain data algorithms have been fully downscaled to street and township levels, solving the challenges of weak professional teams at the grassroots level and their inability to analyze massive data. This large model draws on the analytical thinking of environmental experts, uses advanced chain-of-thought technology, integrates multi-source data, autonomously organizes the patterns of pollutant changes, and deeply explores the root causes of pollution. Relying on a multi-agent collaborative architecture, the large model has the capability for autonomous analysis and automatic handling. Once an air quality anomaly occurs in a street or township area, the system can immediately detect data fluctuations, automatically read related information, and deduce the trend of pollutant dispersion, generating an analysis report in just 10 minutes. It forms differentiated control recommendations based on the principle of "one issue, one strategy; one area, one plan." In the past, environmental protection staff at the street and township level were overwhelmed by complex monitoring data, had to rely on visiting sites and blind searching for pollution sources, and their control measures lacked specificity. Now, grassroots staff can refer to the specialized analysis reports generated by the smart system, focusing precisely on key areas and key pollution sources. High-end digital and intelligent technologies are being deployed to the front lines, filling the gap in professional environmental expertise at the grassroots level, handing over the complex tasks of data analysis, source tracing, and assessment to the smart system. Smart empowerment is opening up the "nerve endings" of environmental governance, allowing air pollution control at the street and township level to shift from experience-based decision-making to data-driven decision-making. After a period of practice, Beijing's "three-supervision" linked digital intelligent pollution control system has forged a new path of precise governance. In the next step, Beijing will continue to iteratively upgrade its sensing network, continuously optimize smart algorithms and the environmental large model, broaden data interconnection scenarios across multiple fields like water and soil, and further deepen cross-departmental data sharing and business coordination. With technological innovation as a lever, the city will optimize its supervision system of "no interference without cause, and precise treatment," applying digital intelligent governance experience to more areas such as water and soil environments. It will continuously consolidate the achievements of blue sky governance, using smart environmental protection to safeguard the capital's green mountains and clear waters, and steadily enhance the public's sense of ecological well-being and happiness.