Device and method for detecting minimum discriminability of large electronic hoist scale

Abstract

The invention discloses a device and method for detecting minimum discriminability of a large electronic hoist scale. The device comprises a balance rod assembly, a counterweight assembly, a weight loading and unloading assembly and a control system, wherein the balance rod assembly is mainly composed of a balance weight and a balance rod, the counterweight assembly is composed of a 1.4 e counterweight string, a 30 kg counterweight string and a 4 kg counterweight string, the counterweight loading and unloading assembly is mainly composed of a stepping motor, a lifting mechanism and a mechanical table, the balance rod assembly is installed on the large-scale electronic hoist scale detection device, the counterweight assembly is hung on the balance rod assembly, the counterweight loading and unloading assembly is installed on the mechanical table and located on a lower portion of the counterweight assembly, and the control system is used for controlling the counterweight loading and unloading assembly. The device can be used for minimum discriminability detection of a 50-ton large-scale electronic hoist scale detection device at most, can also be used for zeroing the electronic hoist scale detection device, and is advantaged in that automatic detection can be achieved, manpower is saved, and detection efficiency is improved.

Description

technical field [0001] The invention relates to the field of measurement and detection, in particular to a detection device and a detection method for the minimum discrimination of a large electronic crane scale. Background technique [0002] Due to its large weight and huge volume, large electronic crane scales are very difficult in the process of handling, transportation, testing and evaluation, especially in the process of testing and evaluation, because the testing and evaluation methods of weighing instruments in our country are all based on the use of standard For comparison and evaluation of weights, large-scale crane scales need to use huge volume and weight weights to load on them to evaluate whether the detection accuracy is accurate. Repeatedly loading huge volume and weight weights on large crane scales is a It is a very difficult thing. The conventional method is to use large forklifts, cranes and other giant machines to load or unload the weights. This operatio...

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Problems solved by technology

[0002] Due to its large weight and huge volume, large electronic crane scales are very difficult in the process of handling, transportation, testing and evaluation, especially in the process of testing and evaluation, because the testing and evaluation methods of weighing instruments in our country are all based on the use of standard For comparison and evaluation of weights, large-scale crane scales need to use huge volume and weight weights to load on them to evaluate whether the detection accuracy is accurate. Repeatedly loading huge volume and weight weights on large crane scales is a It is a very difficult thing. The conventional method is to use large forklifts, cranes and other giant machines to load or unload the weights. This operation method is very complicated and difficult, which brings huge problems to the measurement and evaluation of large crane scales.

[0003] The minimum discrimination evaluation of large crane scales is an indispensable and important parameter for the detection and evaluation of large crane scales. Because the device for loading and unloading weights of the large crane scale detection device itself has weight, such as the suspension rod for hanging weights, in order to ensure The safety and stability of the weight loading and unloading itself has a large weight, so it is necessary to design a structure that can remove this part of the weight, that is, tare, and the minimum discrimination detection of large crane scales is also required according to the requirements of the regulations. It is very difficult to load and unload weights with smaller masses by manual methods

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