Intelligent early-warning scheduling system and method for watering cart

Abstract

The invention discloses a watering cart intelligent early warning scheduling system and method. The method comprises the steps: obtaining pollutant real-time monitoring data, meteorological data, a regional pollution source emission list and air quality real-time monitoring data, and carrying out the simulation prediction of the concentrations of various pollutants to obtain an air quality early warning prediction result; acquiring watering cart monitoring data; uploading and displaying the watering cart monitoring data in real time; planning a key prevention and control area, and issuing an emergency scheduling instruction in combination with an air quality early warning and forecasting result; the air quality real-time monitoring data, the meteorological data, the air quality early warning and forecasting result, the key prevention and control area data and the watering cart monitoring data are stored in a unified mode and displayed in a visualized mode; planning a working area rangeand a watering route of the watering cart, updating air quality real-time monitoring data, and dynamically scheduling the watering cart. According to the invention, orderly scheduling of the wateringcart is realized, and intelligent early warning scheduling of the watering cart and intelligent response feedback of the watering cart are realized.

Description

technical field [0001] The invention relates to the technical field of sprinkler dispatching, in particular to an intelligent early warning dispatching system and method for sprinkler. Background technique [0002] As the requirements for urban air quality continue to increase, in order to continuously improve the ability to cope with polluted weather, air quality forecasting technology has emerged as the times require. The air quality forecasting technology uses advanced meteorological and air quality model simulation technology to predict the air quality of urban areas. Make short-term or long-term forecasts. [0003] Improve the urban environment and air quality through the work of sprinklers. The existing sprinkler water sensor is installed inside the water tank of the sprinkler, which is likely to cause serious equipment aging and damage, high maintenance costs, fast replacement frequency, and insensitive data transmission. The on-board monitor only shows the real-time...

AI Technical Summary

Problems solved by technology

[0003] Improve the urban environment and air quality through the work of sprinklers. The existing sprinkler water sensor is installed inside the water tank of the sprinkler, which is likely to cause serious equipment aging and damage, high maintenance costs, fast replacement frequency, and insensitive data transmission. The on-board monitor only shows the real-time water balance value in the sprinkler, and it is impossible to know how much water the sprinkler has added when and where. There is no related sprinkler report, and it is impossible to effectively monitor whether the vehicle is empty.

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