A Calibration Method for Standard Weight Block of Weight Sensing System of Unmanned Vending Cabinet

Abstract

The invention discloses a method for calibrating a standard weight block of a weight sensing system of an unmanned vending machine, which includes a correction factor acquisition stage and an actual measurement stage of a target object; the weight sensing system measures the measured weight W0 of the standard mass block m0; the background of the unmanned vending machine The control system calculates the value of the correction factor G*C according to the formula G*C=W0 / (m0*g0); the background control system of the unmanned vending cabinet records the value of the correction factor G*C, and the weight sensor of the unmanned vending cabinet The target object to be weighed is placed on the weighing pan of the system, and the actual measurement pressure F of the target object is measured by the weight sensing system; the background control system of the unmanned vending machine is calculated according to the formula m=F / (g0*G*C) Get the value of the real mass m of the target object. Make the weight sensing system of the unmanned vending machine more perfect, and at the same time compensate the impact of the inclination error and the acceleration of gravity error on the weighing, achieve the goal of killing two birds with one stone, and make the unmanned vending machine system more intelligent and precise.

Description

technical field [0001] The invention relates to the field of unmanned vending, in particular to a method for calibrating a standard weight of an unmanned vending cabinet weight sensing system. Background technique [0002] Unmanned vending cabinets are an inevitable product of the development of the retail industry and have been promoted more and more. However, none of the unmanned vending cabinets on the market currently have the function of automatically detecting goods. The system cannot automatically identify what goods consumers have taken. How many goods have been purchased, so it cannot be automatically settled, and consumers need to manually settle. This shopping process affects the pleasure of the consumption experience and affects the shopping efficiency. Moreover, for the elderly who do not know much about smart devices, there are operational obstacles, which is equivalent to a disguised form. The consumption of some consumer groups is rejected, and the popularity...

AI Technical Summary

Problems solved by technology

The existing unmanned vending cabinets with a weight sensing system have the following problems: 1. When the weight sensing type unmanned vending cabinets are used on a non-horizontal surface, because the multiple supporting feet (generally 4) of the container are not on a horizontal plane , the direction of the pressure exerted by the goods on the pallet is inconsistent with the standard force direction of the pressure sensor on the supporting foot, which will cause the test weight to be light. The greater the deviation angle between the two, the greater the measurement error

[0006] A weight block with a certain mass m, when its pressure F acts on the pallet due to gravity, will be affected by the local gravitational acceleration g and the inclination angle θ. F is in different regions and different angles of the ground plane on the earth The measurement will be different, so the power converted by the load cell of the pallet will be different. If the current general calculation method is used, that is, the calculation parameters from fixed power to mass, it will inevitably introduce large calculation errors.

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