Engineering machinery intelligent management platform and management method based on Internet of Things technology

Abstract

The invention discloses an engineering machinery intelligent management platform and management method based on an Internet of Things technology. The intelligent management platform mainly comprises a vehicle-mounted intelligent terminal, a client end information service system and an Internet of Things management platform. Before a vehicle is started, a user carries out identity identification through an IC card, the user is prevented from receiving unnecessary information; after the vehicle is started, a vehicle-mounted intelligent instrument collects and displays fuel oil, oil temperature, water temperature and speed data related to the engineering machinery vehicle, the vehicle-mounted intelligent terminal is simultaneously triggered for sending and receiving vehicle positioning and navigation data, and the functions such as real-time monitoring, online alarming, vehicle positioning, payment querying and fence alarm querying are realized; in addition, the user can make different operations such as checking, prompting and locking by logging in to a web or a mobile phone APP, so that engineering machinery production, sale and leasing are facilitated, vehicle operation management and allocation efficiency of a user unit is improved, and the manual management cost is lowered.

Description

technical field [0001] The invention relates to a construction machinery intelligent management platform and a management method, in particular to an construction machinery intelligent management platform and a management method based on Internet of Things technology. Background technique [0002] At present, the leasing business in the traditional construction machinery leasing market requires a special person to perform manual supervision and scheduling. Due to the large amount of vehicle data and the wide distribution range, in order to expand the business scale, the required manpower and material resources are also doubled, which greatly improves the cost. However, due to the limited input of manpower and material resources, it is inevitable that there will still be blind spots in scheduling management, which will reduce the efficiency of vehicle use. In order to solve this kind of problem, intelligent management of vehicles, garages, personnel, etc. of leasing companie...

AI Technical Summary

Problems solved by technology

[0002] At present, the leasing business in the traditional construction machinery leasing market requires a special person to perform manual supervision and scheduling. Due to the large amount of vehicle data and the wide distribution range, in order to expand the business scale, the required manpower and material resources are also doubled, which greatly improves the cost

However, due to the limited input of manpower and material resources, it is inevitable that there will still be blind spots in scheduling management, which will reduce the efficiency of vehicle use

In order to solve this kind of problem, intelligent management of vehicles, garages, personnel, etc. of leasing companies has appeared, but the current intelligent management can only realize the positioning of vehicles, and it is difficult to monitor the use of vehicles, identify maintenance responsibilities and many other problems to solve

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