Cycle operation forecasting method and system, crane and vehicle-mounted controller

Abstract

The invention discloses a cycle operation forecasting method and system, a crane and a vehicle-mounted controller. The method includes the steps that electric consumption of the single time of lifting work is obtained; the current residual electric quantity is obtained; and the number of containers capable of being unloaded with the residual electric quantity is calculated according to the current residual electric quantity and the electric consumption of the single time of lifting work. According to the cycle operation forecasting method and system, the crane and the vehicle-mounted controller, the number of the containers capable of being unloaded with the residual electric quantity is determined so that the residual operation processes can be forecasted, and the use safety of the battery electric quantity of operators and the intelligence degree of products can be improved.

Description

technical field [0001] The invention relates to the field of engineering machinery, in particular to a cycle operation prediction method and system, a crane and a vehicle-mounted controller. Background technique [0002] With the enhancement of people's awareness of energy conservation and environmental protection and the development of the machinery industry, pure electric vehicles have become an important trend in the development of the construction machinery industry. Ion batteries, etc.) provide the power source of the vehicle. Pure electric drive vehicles can achieve low energy consumption and ideal "zero emissions", which have incomparable advantages over internal combustion engine vehicles. [0003] The power of the traditional internal-combustion type reach stacker is provided by the engine. The remaining fuel of the engine is detected by the fuel sensor and displayed by the instrument. The operator can know the remaining fuel according to the fuel gauge and arrange...

AI Technical Summary

Problems solved by technology

[0004] For the operators, what they are most concerned about is the continuous workload and working time of the current battery power, that is, the number of containers that can be loaded and unloaded with the remaining power and the current comprehensive The sustainable working time under working conditions (such as hoisting operation, air conditioner on, auxiliary electrical equipment on, etc.), and the remaining working process cannot be estimated only by the value of battery power SOC

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