Weighing error automatic compensation method of vehicle scale

An error compensation and automatic compensation technology, applied in neural learning methods, detailed information of weighing equipment, weighing, etc., can solve problems such as poor compensation effect and large difference

Inactive Publication Date: 2012-06-20
HUNAN NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

This method is based on the linear relationship between the input and output of the truck scale, which is quite different from the actual situation, so the compensation effect is poor

Method used

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  • Weighing error automatic compensation method of vehicle scale
  • Weighing error automatic compensation method of vehicle scale
  • Weighing error automatic compensation method of vehicle scale

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] It is assumed that in this embodiment, the truck scale has 8 load cells (N=8), the measuring range is 40 tons, the maximum capacity of each load cell is 20 tons, the number of divisions is 4000, and the verification division value e and the actual The division value d is 10kg. The high-performance single-chip microcomputer MSP430F449 of TI Company is used as the lower computer 10 .

[0044] (1) Compound neural network structure. In this embodiment, the sub-neural network adopts a radial basis function neural network (RBFNN), and the basis function of the RBFNN adopts a Gaussian function. According to the method shown in formula (1), three sub-neural networks are constructed. Taking sub-neural network 1 as an example, the sub-neural network at this time is a network with 8 inputs and 1 output, so its output is

[0045] y 1 = b 1 + Σ j ...

Embodiment 2

[0057] Set in this embodiment, the truck scale has 6 load cells (N=6), the measuring range is 40 tons, the maximum capacity of each load cell is 20 tons, the division number is 4000, the verification division value e and the actual The division value d is 10kg. The DSP TMS320VC5502 of TI Company is adopted as the lower computer 10 .

[0058] (1) Compound neural network structure. In the present embodiment, sub-neural network adopts BP neural network (BPNN), and the hidden layer activation function f of BPNN 1 Using the S-shaped function, the output layer activation function f 2 Using a linear function, taking sub-neural network 1 as an example, the sub-neural network at this time is a network with 6 inputs and 1 output, so its output is

[0059] y 1 = W 2 F 1 + b 2 = W ...

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Abstract

The invention discloses a weighing error automatic compensation method of a vehicle scale, which comprises three aspects of composite neural network construction, neural network off-line training and vehicle scale on-line weighing. First, constructing three sub-neural networks according to priori knowledge; then utilizing standard weights of different tonnage and a weighing signal collecting circuit to train a sample and transmitting the sample to an upper computer, utilizing training software to finish off-line training of the three sub-neural networks, obtaining a corresponding parameter, and downloading the parameter to a lower computer to prepare for the on-line measurement of the vehicle scale; when the vehicle scale performs on-line measurement, utilizing the lower computer to first obtain a weighing signal vector through the weighing signal collecting circuit to serve as input of the three sub-neural networks and calculating the output of each sub-neural network; roughly estimating the weight of a tested load, and automatically obtaining the output weight of a composite neural network; and merging the output weighing of the sub-neural networks, obtaining a final weighing result, and simultaneously finishing the weighing error compensation of the vehicle scale. The weighing error automatic compensation method of the vehicle scale can achieve automatic compensation of an unbalance loading error and a linear error of the vehicle scale so as to greatly improve accuracy of the weighing result.

Description

technical field [0001] Auto-compensation method for truck scale weighing error, the present invention relates to a method for high-accuracy weighing and error compensation of truck scale, in particular, relates to a method for high-accuracy weighing and error compensation of truck scale by using neural network method The invention belongs to the field of weighing system detection and information processing, and can also be applied to other multi-sensor systems. technical background [0002] As an important branch of weighing instruments, truck scales (including ground scales, ground scales, etc.) have a weighing range from a few tons to hundreds of tons or even thousands of tons. It is widely used in warehousing trade, transportation, industrial and mining enterprises and other departments. With the development of industrial production and transportation, the demand for truck scales will increase. In addition to the measurement function, the existing truck scale also has mu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01G23/00G01G19/02G06N3/08
Inventor 林海军滕召胜杨进宝汪鲁才李仲阳谭旗迟海刘让周郑丹
Owner HUNAN NORMAL UNIVERSITY
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