These days, wireless sensor networks (WSNs) in digital engineering are used inside the tracking of far off sensible buildings, and the need for emerging web 3.0 is turning into increasingly in every component of electronic engineering. however, the key demanding situations of tracks are the tracking approaches and storage fashions of huge ancient monitoring facts. To deal with these barriers, we try to design a WebSocket-based totally real-time tracking system for far off sensible homes. On one hand, we utilize the modern-day HTML5 WebSocket, Canvas and Chart technology to screen the sensor records collected in WSNs within the web browser. The proposed monitoring system helps the latest HTML5 browsers and legacy browsers without native WebSocket capability transparently. then again, we advocate a storage model with lifecycle to optimize the NoSQL data warehouse. eventually, we've got made the tracking and garage experiments to illustrate the prevalence of our technique. The monitoring experimental consequences display that the average latency time of our WebSocket monitoring is generally lower than polling, FlashSocket, and Socket solution, and the storage experimental outcomes show that our storage model has low redundancy price, garage area, and latency.