Research on Optimization of Big Data Construction Engineering Quality Management Based on RNN-LSTM

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Subproject</td><td class="align_center">Frequent points of quality problems</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Reinforcement engineering</td><td class="align_center">Stirrups, main ribs, pull hooks, pull tabs, concrete works</td></tr><tr><td class="align_left">Concrete engineering</td><td class="align_center">Pouring and appearance (honeycomb, matte, exposed bar, hole)</td></tr><tr><td class="align_left">Template engineering</td><td class="align_center">Installation of support systems (racks, poles, joints) and demolition</td></tr><tr><td class="align_left">Masonry engineering</td><td class="align_center">Grey joints, verticality control, retention of horse teeth and holes during masonry</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Frequent-point statistics of quality problems.</div>

Complexity

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Table 6

Table 6: Research on Optimization of Big Data Construction Engineering Quality Management Based on RNN-LSTM 