existConstruction of Intelligent Monitoring System for Limited Spaceof"data stream-knowledge base-decision chain"The closed-loop management framework,powerfulData analysis presentationOutIn modern managementimportant role，The system is driven by dynamic data streams as its core, relying on machine learning algorithms to mine historical data in multiple dimensions, forming a full cycle management loop covering monitoring, warning, decision-making, and optimization, and promoting risk prevention and control from"Passive response"direction"Proactive prevention and control"The digital transformation.

Data cleaning and feature engineering have constructed a systematic approach"Smart Brain".At the data layer, the system collects key environmental parameters such as temperature, humidity, and gas concentration in real-time through IoT devices, and constructs a spatiotemporal database.After denoising, outlier removal, and spatiotemporal alignment, the raw data stream is transformed into structured knowledge assets through automated annotation technology. This deep processing not only eliminates data noise, but also establishes a risk evolution map through feature extraction, enabling the system to obtain"see through the appearance to perceive the essence"Insight.By comparingHISTORICAL DATAofanalysis,revealThere is a strong correlation between changes in gas concentration and equipment failures,Identify potential risk factors in advance.

The limited space intelligent monitoring system utilizes data analysis to integrate traditional methods"Human monitoring equipment"The passive management mode has been transformed into"Data monitoring risk"The proactive prevention and control system. Not only does it achieve real-time monitoring and risk prediction of the environment, but it also provides scientific data support and optimization for managersfinishManagement strategies have significantly improved management efficiency，Providing strong guarantees for the safety and efficient management of limited spaces.