Simulated annealing optimization neural network-based visibility sensor and detection method thereof

Abstract

The invention discloses a simulated annealing optimization neural network-based visibility sensor and a detection method thereof, wherein the visibility sensor comprises a microprocessor module and apower supply circuit for supplying power for each electricity utilization module in the visibility sensor; the input end of the microprocessor module is connected with a visibility detection circuit;the visibility detection circuit comprises a particle concentration sensor and a temperature and humidity sensor; the microprocessor module, the particle concentration sensor and the temperature and humidity sensor are all connected with the output end of the power supply circuit. The detection method comprises the following steps of 1, performing data acquiring and transmitting; 2, carrying out data preprocessing; and 3, carrying out data processing to obtain a visibility detection value. The device is novel and reasonable in design, convenient to implement, low in cost and high in visibilitydetection precision, can be well applied to visibility detection, is high in practicability, good in use effect and convenient to popularize and use.

Description

technical field [0001] The invention belongs to the technical field of visibility detection, in particular to a visibility sensor based on a simulated annealing optimization neural network and a detection method thereof. Background technique [0002] In recent years, with the development of my country's economy, the discharge of pollutants has gradually increased, resulting in a general decrease in air visibility and affecting the normal operation of transportation. At the same time, the reduction of visibility will affect the lighting effect of street lamps, which has a great impact on people's night travel. For example, a large number of studies have shown that the penetrating ability of yellow light is stronger than that of white light, so when the visibility is low, the street lights are yellow; Lighting different colors and realizing the intelligence of street lights will be beneficial to people's travel at night and will have a better effect on people's lives. Theref...

AI Technical Summary

Problems solved by technology

However, this method does not divide the model according to the four seasons, and the detection effect may affect the detection of visibility according to the four seasons.

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