天然气流量计算机端点控制小样本校准策略与不确定度评定OA

A small-sample calibration strategy based on endpoint control of natural gas flow computers is proposed.A metrological database covering 533 mainstream flow computers from field measurements across China's major gas transmission networks in 2025 was constructed.The linearity of indication errors across the full scale was analyzed using generalized linear models.Based on this,a linear prediction model relying solely on the minimum flow point Qmin and maximum flow point Qmax was established.The interpolation error and uncertainty components introduced by the simplified model were quantitatively evaluated through Monte Carlo simulation and in accordance with JJF 1059.1-2012.Results show that 67.54%of the sampled devices exhibit extremely high linear correlation between indication error and standard flow,with a mean coefficient of determination R² of 0.99.Compared to the traditional five-point method,the interpolation error introduced at intermediate flow points remains below 0.02%at a 96%confidence level—significantly lower than the maximum permissible error.Both domestic and international mainstream equipment demonstrate consistent excellent linear characteristics.This small-sample calibration strategy significantly reduces on-site calibration time and natural gas loss while maintaining measurement accuracy and traceability,thereby enhancing the economic efficiency of pipeline metrological management.