Method for predicting the starting of spraying of intelligent anti-icing and snow-removing control system

Abstract

The invention discloses a method for predicting the starting of spraying of an intelligent anti-icing and snow-removing control system. The method comprises a plurality of judgment steps that when itis judged that the spraying is needed, an immediate spraying instruction is issued to a pump station unit by a controller; the spraying position is marked as a spraying state, and the spraying amounttime X and the spraying circulating frequency N are corrected and calculated; the current single-time spraying time and the spraying circulating frequency are respectively assigned to a spraying timetimer and a spraying circulating counter of a spraying single-group nozzle. The invention is advantageous in that a plurality of grades of roads and weather judgment conditions are set, and whether the deicing fluid needs to be sprayed or not is judged gradually, so that the ice-removing and snow-removing efficiency can be improved, and the use of deicing fluid can be reduced; according to the invention, whether spraying can be started or not can be judged automatically, and the purposes of automatic operation and unattended operation are achieved; not only can the manual investment be reduced, but also the anti-icing and snow-removing work can be responded in time.

Description

technical field [0001] The invention relates to a predictive start-up spraying method of an intelligent anti-icing and snow removal control system. Background technique [0002] At present, in most parts of my country, deicing and snow removal operations in winter are still carried out by manually or mechanically spreading granular deicing agents, which not only requires a lot of personnel and vehicles, but is often carried out after snowing or freezing, which has obvious advantages. Passivity and hysteresis. This passivity and hysteresis will cause serious traffic congestion problems, especially some special key road sections (such as super large bridges, long uphill, long downhill, bridge deck, windward side and tuyere road sections), deicing is not enough In time, it is likely to have caused a traffic accident. At the same time, icing and snowfall often occur in the early hours of the morning. Due to insufficient light, the staff is prone to fatigue, which further increa...

AI Technical Summary

Problems solved by technology

But there are some problems with the above system: (1) There is no icing prediction function

(2) Rough control strategy

Obviously, as for the spraying effect, it does not make judgments on the road environment and runs automatically. However, this method cannot predict the icing or snow treatment plan on the road surface, which reduces the control accuracy of the system and wastes more deicing fluid.

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