In order to solve a series of problems existing in the existing smoking rooms in public places, such as "poor indoor environment of smoking, easy adhesion of second-hand smoke to walls, tables and chairs and other dead corners, low smoke collection and processing capacity, resulting in pollution of the smoking room and the surrounding environment", this device designs a smoke purification device in the smoking room based on cutting off the continuous vortex ring air curtain, The utility model can efficiently replace the indoor air by isolating the air curtain, so as to achieve the comprehensive purification of the air in the smoking room. MQ-2 smoke sensor is used, which is controlled by STM32 single chip microcomputer through AD conversion and serial port input, and ADC0832 is used to convert the collected data to obtain the actual smoke concentration, The smoke concentration is controlled by the P port of STM32, and the oledspi display module located inside the smoking room displays it in real time. The smoke concentration digital signal compares the parameters through the obtained smoke concentration and the set smoke concentration threshold. When the processing requirements are met, the circuit of the digital relay controls the motor drive of the forced draft fan, controls the isolated suction of the vortex ring air curtain, and pumps the indoor air into the subsequent pretreatment system efficiently and quickly, In the prediction system, nano mineral crystal flue gas toxic gas adsorption and activated carbon filter plate are used to filter the flue gas generated by smoking, and then discharged outdoors after passing the detection of tail gas detection sensor.
This paper addresses the path planning problems for recommending parking spaces, given the difficulties of identifying the most optimal route to vacant parking spaces and the shortest time to leave the parking space. Our optimization approach is based on the entropy method and realized by the A* algorithm. In this algorithm, several evaluation indexes are introduced to make the algorithm more sensitive to environmental changes. Simulation experiments have shown that the combination of A* and the entropy value induces the optimal parking solution with the shortest route.
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