Self-adaptive weighing method of crane

Abstract

The invention relates to a self-adaptive weighing method of a crane. The self-adaptive weighing method comprises the following steps or methods: signal parameter setting: hoisting a standard weight load with known weight by the crane, correspondingly acquiring weight sensing signals of the standard weight load in static and dynamic processes, carrying out signal conversion and self-adaptive low-pass filtering processing on the weight sensing signals, carrying out static calibration or dynamic setting on parameters of signal self-adaptive low-pass filtering by combining the weight of the standard weight load, and acquiring contrast data in the weighing process of the standard weight load to form a contrast queue; and weighing: hoisting a load to be weighed by the crane, acquiring a weight sensing signal of the load to be weighed, carrying out signal conversion and self-adaptive low-pass filtering processing on the weight sensing signal of the load to be weighed, acquiring data of the load to be weighed, comparing the data with the contrast queue to judge the motion state of the load to be weighed, and calculating the weighing value of the load to be weighed. The self-adaptive weighing method can ensure that the numerical deviation of the weighing value is within + / -3%.

Description

technical field [0001] The invention relates to the technical field of weighing management during crane operation, in particular to a crane self-adaptive weighing method. Background technique [0002] In the moment or lifting capacity limiter of the existing crane, the weight of the load is relatively large. There are two main reasons. One is for safety considerations, and more importantly, for technical reasons. During the lifting process of the load, there is a strong impact, and the load performs a pendulum motion after lifting, so it is difficult to calculate the actual weight of the load accurately. [0003] According to the force formula, when the load is swinging, the signal output by the weight sensor is the superposition of the sinusoidal signal and the DC signal. If the commonly used filtering algorithms such as average value and median value are used to calculate, the obtained load is larger than the actual weight; Protection, the measured weight is too large, it...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a crane self-adaptive weighing method, which solves the problem that the measured weight has a large deviation from the real weight value when weighing during the operation of the crane, which is not conducive to the accumulation of statistical cranes. workload problem