Pixel-level real-time big data analysis platform

摘要

The invention relates to a pixel-level instant big data analysis platform, and the platform comprises weight sensing equipment which is disposed below a seat of a building jump machine, and is used for sensing the load weight on the seat, and outputting the load weight as a real-time sensing weight; the signal conversion equipment which is used for receiving the real-time induction weight and sending out a weight shortage command when the real-time induction weight is smaller than a preset weight threshold value, or else, sending out a weight standard reaching command; and the full-color capturing equipment which is arranged at the upper part of a seat of the building jump machine, is connected with the signal conversion equipment, and is used for executing an image capturing operation onthe environment where the seat of the building jump machine is located when the weight deficiency command is received so as to obtain a corresponding seat environment image. The pixel-level instant big data analysis platform is reasonable in logic, safe and reliable. Due to the fact that the profit and loss situation of the occupied area of the human body space in the single seat of the elevator can be effectively recognized, possible operation accidents can be avoided in a targeted mode.