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Model Display Of CIMC Logistics Big Data Management System Based On Echarts

Posted on:2020-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:X T ZhangFull Text:PDF
GTID:2428330596495379Subject:Control engineering
Abstract/Summary:PDF Full Text Request
Nowadays,the global logistics and transportation equipment is over 100 million,and the supervision of its data is of great significance to improve the efficiency of logistics transportation.However,its status,location,etc.are updated in real time,and the amount of data is huge,and scattered around the world,the collection of this information,the construction of big data storage,management,analysis and decision-making platform,is of great significance to the future development of logistics.The smart logistics system is supported by information technology.System awareness in all aspects of transportation,warehousing,packaging,loading and unloading,distribution processing,distribution,and information services.It is a modern comprehensive logistics system with comprehensive analysis,timely processing and self-adjustment functions to realize logistics regulation wisdom,discovery wisdom,innovation wisdom and system wisdom.The advent of the concept of smart logistics caters to the development trend of modern science and technology society.At the same time,it matches the automation,networking,visualization,real-time,tracking and intelligent control concepts that the modern logistics and transportation industry admires,and conforms to the trend of the development of the Internet of Things.The system can support two kinds of data processing methods: real-time processing and offline processing,which can meet the needs of the logistics industry for different business scenarios of massive logistics data.This system is a smart logistics system created for real-time geography and equipment status data returned by CIMC Logistics Equipment.Based on JavaScript,Echarts,API call and other technologies,this system has designed a smart logistics system with the following functions for the needs of container customers,managers and drivers:(1)The system includes real-time monitoring,historical data statistics,mining recommendation,management and maintenance modules,and each module separates each sub-module according to user requirements.Innovative human-computer interactionmode to enhance the user experience.Real-time performance allows managers to quickly discover abnormal information about the equipment,ensuring the safety of drivers and transporting goods.(2)The system can collect real-time information of transportation equipment,and integrate it with historical data to calculate the information required by users.For example,overspeed anomaly analysis,inflow and outflow maps of equipment in various provinces and cities,and abnormal state statistics.It is also possible to mark unfavorable locations(road repairs,frequent traffic jams)and plan an optimal driving route to avoid unfavorable locations.(3)Through the maintenance warning and abnormal statistical analysis of equipment,the safe driving ability of the vehicle is guaranteed.It also has basic system functions such as login and logout,user management.
Keywords/Search Tags:Smart Logistics, Echarts, Big Data
PDF Full Text Request
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