Internet of things (IOT)-based visualization system for working conditions of electric forklifts

Abstract

The invention discloses an internet of things (IOT)-based visualization system for working conditions of electric forklifts. The system comprises a data obtaining module, a data preprocessing module,a data storing module, a chart drawing module and an interacting and displaying module. According to the system disclosed by the invention, the speed and the positions of the forklifts and the weightof transported goods are displayed in real time in a background dispatching center according to IOT data of operation states of the forklifts, which are transmitted to a server by a gateway; visual charts such as maps, columns, broken lines and the like of the use efficiency of the forklifts, the remaining amount of batteries, the speed change curves of the forklifts, the total traveling distancerecords and the like of every day, every week and every month are generated and displayed in real time by using the processed data; managers can master the working conditions of the forklifts in realtime and switch among different views according to the needs to comprehensively judge the working efficiency of the forklifts, predict and analyze the service life states of the forklifts and reasonably select allocating and scheduling schemes of tasks according to the workshop operation requirements; and therefore, finally, the service efficiency of the forklifts and the warehouse work efficiencyare improved and the service life of the forklifts is prolonged.

Description

technical field [0001] The invention relates to the field of data visualization, in particular to an Internet of Things-based visualization system for working conditions of electric forklifts. Background technique [0002] Electric forklifts, powered by clean energy batteries, truly achieve zero pollution and are environmentally friendly equipment. They are gradually replacing traditional internal combustion forklifts and becoming mainstream handling equipment. During the use of electric forklifts, its speed, location, battery level, idleness and other system conditions directly affect the performance and efficiency of forklifts. Many domestic companies still use manual management in warehousing and logistics management. The method cannot enable managers to grasp the working status and life status of forklifts in a timely manner, and then make timely maintenance strategies for forklifts and make reasonable allocation and scheduling plans for forklifts in the entire warehouse...

AI Technical Summary

Problems solved by technology

During the use of electric forklifts, its speed, location, battery level, idleness and other system conditions directly affect the performance and efficiency of forklifts. Many domestic companies still use manual management in warehousing and logistics management. The method cannot enable managers to grasp the working status and life status of forklifts in a timely manner, and then make timely maintenance strategies for forklifts and make reasonable allocation and scheduling plans for forklifts in the entire warehouse, which seriously affects the operation speed of the entire logistics chain.

[0003] The traditional forklift intelligent management system can only obtain the current position of the forklift, but cannot directly see the change of the forklift speed, and accurately reflect the real-time operation status and operation status of the forklift.

The current database system can realize data entry, query, statistics and other functions, but cannot effectively discover the relationship and development trend in the data, and cannot effectively help users make analysis and decision-making based on the existing data

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