Optimization Scheduling of Cloud Service Resources Based on Beetle Antennae Search Algorithm

Liu, Ruisong; Li, Shaojie; Wang, Ning

doi:10.1109/cits49457.2020.9232458

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…Then, it uses a digital level or autocollimator to measure point by pitch on a defined straight line and convert the measured data at each pitch into the coordinate values of the pitch endpoints through data preprocessing. Finally, the flatness error is evaluated (threepoint method, diagonal method, least squares plane method, and minimum plane area method) to obtain the flatness error of the measured workpiece [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Data preprocessing for flatness measurements of large precision workpieces

Huang,

Pang,

Xia

2024

J. Phys.: Conf. Ser.

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Measuring the flatness error of large precision workpieces quickly and accurately is a difficult problem. A new method for preprocessing flatness measurement data based on MSE (mean squared error) is proposed. A mathematical model of a new data preprocessing method was established, and the mathematical formula for model solving was derived in detail. The data were measured by digital level on the plane of the granite base with dimensions of 2340 m×1540 mm. The new method and SmartLevel (basic measurement system of the level computer) were used to calculate and process the data. The flatness errors after diagonal evaluation were 4.07 μm and 3.90 μm, respectively. The relative error of the two was 4.36%, which confirmed the reliability and accuracy of the new method. The data results show that this method can be effectively used for the engineering measurement of the flatness of large precision workpieces.

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Section: Introductionmentioning

confidence: 99%