Facing challenges:

The traditional inspeγ¥ction relies on the on-sit∏φe collection by the builders and ≈×records by hand, whicδγ↕≤h has high cost and low efficiency;☆₩δ☆
System data filling is purely manual en←"≤®try and manual marking, so the a&© uthenticity of data cannot be guarant∞✔<≈eed;
The report summary is transmitted ₽₽layer by layer, which hΩσβΩas timeliness problems, and the m>↓≈anagement can't grasp the real-t∑≈≤ime progress;

Strategy:

identify the process steps of t±♦∏✘he working surface area through AI ↓γby using the working surface↔≤≤∑ progress recognition algorithm α₩δ.

Compare and analyze the actua∑¥l completion progress $≤of the site with the construction plan,§↔∞ track and correct the progress of the ™♣construction task in ♣§ time, and solve the ♦‌π&problems of schedule delay cause← d by news lag and other factors. Rea♥♠<∞lize the dynamic control of proj¥ ±$ect progress.