Design and Application of Smart Vision Sensor Using Embedded Technology in Cost Management of Power Transmission and Transformation Project in Ningxia Companies

The purpose is to solve the problems of cumbersome calculation, low accuracy, poor timeliness, rigid data acquisition, high cost, large volume, and insufficient signal processing capacity traditional vision sensor (VS) in Ningxia companies. Firstly, this paper designs an embedded smart VS based on advanced RISC machines (ARM) processor. Secondly, it proposes a cost estimation algorithm for power transmission transformation project (PTTP) particle swarm optimization-least squares support vector regression (PSO–LSSVR). Afterward, model PTTP building information modeling (BIM) proposed. Thirdly, historical company within five years are selected as samples verify accuracy PSO-LSSVR BIM model. results show following: (I) measurement error designed less than 4%, with which suitable large-scale construction site. (II) engineering prediction 20%, higher that machine (SVM) LSSVR algorithms. optimization effect remarkable can be used feasibility analysis PTTPs. (III) proposed BIM-based controlled 10%. With applied management company. provide important technical upgradation technology realization visual rapid