Request triggering system and method for application parameter data analysis

Abstract

The invention relates to a request triggering system applying parameter data analysis, and the system comprises a weight detection mechanism which is used for calculating a reference weight value based on the on-site reference number of people, the body weight, the on-site reference number of vehicles, and the vehicle weight; the triggering executing mechanism is used for sending a transportation request instruction when the reference weight value is larger than or equal to a set weight threshold value, and otherwise, sending a transportation waiting instruction; and the content communication component is used for wirelessly sending the transportation request instruction or the transportation waiting instruction to a big data service mechanism. The invention further relates to a request triggering method for application parameter data analysis. According to the request triggering system and method for application parameter data analysis, judgment is reliable, and resources are saved. Due to the fact that the garbage quantity of the garbage can body in the one-day period can be identified, and the time of garbage collection and transportation and the required maximum volume of the transportation vehicle are judged based on the identification data, the garbage collection and transportation effect is guaranteed, and meanwhile excessive use of garbage collection and transportation resources is avoided.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a request triggering system and method for applying parameter data analysis. Background technique [0002] Applications of artificial intelligence are broad, including: medicine, diagnosis, financial trade, robotic control, law, scientific discovery, and toys. Many AI applications go deep into the foundations of every industry. Artificial intelligence applications are generally applicable to various sub-fields. At present, for each trash can body, it is necessary to select the timing and vehicle to perform garbage removal and transportation according to the amount of internal garbage. If the cleaning time is too early, the limited cleaning and transportation resources will be wasted. If the cleaning time is too late, it is easy to cause garbage. At the same time, the volume of the vehicles that come to be cleaned and transported is too large or too small, and it is easy t...

AI Technical Summary

Problems solved by technology

At present, for each garbage can body, it is necessary to select the timing and vehicle for garbage removal according to the amount of garbage in it. If the timing of cleaning is too early, the limited resources of cleaning and transportation will be wasted. If the timing of cleaning is too late, it will easily cause garbage collection Spread, at the same time, the volume of the vehicles that come to clear and transport is too large or too small to easily cause the waste of clear and transport resources or the spread of garbage

However, there is currently a lack of an effective mechanism for judging the timing of garbage removal and vehicles for each garbage can

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