A method and system for dynamic analysis of hazardous chemicals vehicle based on big data

Abstract

The invention discloses a dangerous chemical product vehicle dynamic analysis method based on big data and a system thereof, belonging to the technical field of vehicle dynamic analysis. The method and system for dynamic analysis of dangerous chemicals vehicle based on big data comprises the following steps: S1. Determining dangerous chemicals vehicle and acquiring basic information of dangerous chemicals vehicle; S2, determining the stopping time of dangerous chemicals vehicles and screening the stopping points according to the stopping time; S3, determining the POI of the parking point according to the vector map; 4, judging that parking point once accord to the logic of the front position; S5, correcting that error of the first judgment result; S6: Determine the unloading point and sitecondition in the hazardous chemicals vehicle parking point. The utility model has the advantages that the parking state in the transportation of dangerous chemicals can be accurately analyzed and thetransshipment state and the common routes of the convoy can be timely understood; According to the parking point can accurately identify the unloading point, convenient for enterprises to analyze theflow of resources, timely make production planning.

Description

technical field [0001] The invention belongs to the technical field of vehicle dynamic analysis, and in particular relates to a method and system for dynamic analysis of hazardous chemicals vehicles based on big data. Background technique [0002] Since hazardous chemicals are widely used in factories, enterprises and even households, such as liquefied natural gas, petroleum, acid-base liquids, etc., the transportation of hazardous chemicals vehicles is essential in the industry, but generally hazardous chemicals suppliers It is difficult to understand the status and route of the transport vehicles during transportation. The lack of analysis on the flow of resources and the transfer status of the fleet is not conducive to the long-term development of the enterprise, and is also not conducive to the management and monitoring of hazardous chemical vehicles. Therefore, it is urgent to propose a Dynamic analysis method and system of dangerous chemical vehicles based on big data....

AI Technical Summary

Problems solved by technology

[0002] Since hazardous chemicals are widely used in factories, enterprises and even households, such as liquefied natural gas, petroleum, acid-base liquids, etc., the transportation of hazardous chemicals vehicles is essential in the industry, but generally hazardous chemicals suppliers It is difficult to understand the status and route of the transport vehicles during transportation. The lack of analysis on the flow of resources and the transfer status of the fleet is not conducive to the long-term development of the enterprise, and is also not conducive to the management and monitoring of hazardous chemical vehicles. Therefore, it is urgent to propose a Dynamic analysis method and system of dangerous chemical vehicles based on big data

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