Vehicle condition abnormality identification system

Abstract

The invention relates to a vehicle condition abnormality identification system which comprises a plurality of on-site positioning devices, a plurality of vibration sensors, a positioning data receiving device and a vibration data processing device. The multiple on-site positioning devices are arranged on a plurality of buses in a city and are used for respectively transmitting a plurality of on-site positioning data corresponding to the multiple buses; the multiple vibration sensors are arranged on the multiple buses in the city and used for respectively transmitting a plurality of site vibration data corresponding to the multiple buses; the positioning data receiving device is located at the big data processing end and used for receiving the multiple on-site positioning data sent by the multiple on-site positioning devices in the multiple buses in the city; and the vibration data processing device is located at the big data processing end and is used for receiving the multiple on-sitevibration data sent by the multiple vibration sensors of the multiple buses in the city and conducts recognized processing on whether each scene vibration datum exceeds the limit or not. By means ofthe vehicle condition abnormality identification system, a big data processing mode can be used for judging whether the buses have abnormality or not and implementing the associated control over equipment.

Description

technical field [0001] The invention relates to the field of big data processing, in particular to a system for identifying abnormal vehicle conditions. Background technique [0002] For "big data" (Big data) research organization Gartner has given such a definition. "Big data" requires a new processing model in order to have stronger decision-making power, insight and discovery and process optimization capabilities to adapt to massive, high-growth and diversified information assets. [0003] The definition given by the McKinsey Global Institute is: a data collection that is so large that it greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis. It has massive data scale, fast data flow, and diverse Four major characteristics of low data type and value density. Contents of the invention [0004] In order to solve the technical problems of insufficient safety level of buses and too solidified par...

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Problems solved by technology

[0004] In order to solve the technical problems of insufficient safety level of buses and too solidified parameter detection mechanism in the prior art, the present invention provides a system for identifying abnormal vehicle conditions, which can analyze and analyze the driving curves of various buses in the city by using a big data processing mode. Analyze the vibration of the body of each bus to determine whether there is an abnormal situation; when the equipment dissipates too much heat, the oscillation frequency of the quartz oscillator of the associated equipment is reduced, and then the operating frequency of the associated equipment is controlled to reduce the frequency of the associated equipment. The control device realizes the associated control of the trajectory analysis equipment; and in order to obtain more reference value temperature data, a temperature analysis mechanism based on local data measurement and remote data measurement is established. More importantly, the temperature analysis The mechanism introduces a distance configuration strategy. At the same time, in order to ensure the reliability of the data, a mobile communication interface with a built-in decryption mode is also used.

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