灭弧栅片数量对塑壳断路器分断能力的影响分析数据

本数据聚焦于分析灭弧栅片数量对塑壳断路器分断能力的影响，揭示了栅片数量参数与断路器分断性能之间的量化关系，为公司（作为生产商）及外部相关方提供了重要的决策依据，具有显著的应用价值。具体体现在以下方面：
1.优化产品开发和生产工艺：公司可通过分析灭弧栅片数量对分断能力的影响，精准优化灭弧室结构设计和栅片配置方案，科学制定栅片数量控制标准，提升断路器在大电流分断工况下的灭弧可靠性。
1.2.推动行业科技进步：本数据可为断路器领域的科研人员和技术研发人员提供支持，帮助他们开展灭弧特性分析、电弧能量预测和质量控制等工作，促进断路器在极限分断工况下的性能稳定性提升。1.数据采集：
实时记录不同灭弧栅片数量条件下的塑壳断路器分断能力测试数据，包括测试样品编号、测试时间、栅片数量/片、分断能力/kA等字段。2.数据预处理：
（1）对采集的数据进行去噪处理，确保数据准确性。
（2）将历史采集的数据（包含本次采集）进行聚合，形成数据集X，并针对数据集X中的分断能力字段，计算出其平均值。3.计算线性回归斜率a和截距b：
（1）基于数据集X（以栅片数量为自变量、分断能力为因变量），运用SLOPE函数，基于最小二乘法原理确定斜率a，运用INTERCEPT函数确定截距b。
（2）斜率a表示单位栅片数量变化对分断能力的影响程度（正相关），截距b表示基准栅片数量下塑壳断路器的分断能力值。4.结果运用：
（1）计算比例系数k：k=|a/分断能力平均值|×100%。
（2）若k≥8%，则判定为"高影响"，若3%≤k＜8%，则判定为"中影响"，若k＜3%，则判定为"低影响"。

This dataset focuses on analyzing the impact of the number of arc-extinguishing grid pieces on the breaking capacity of molded case circuit breakers (MCCBs), revealing the quantitative relationship between the grid piece quantity parameter and the breaking performance of circuit breakers. It provides important decision-making basis for the company (as a manufacturer) and external relevant parties, with significant application value, which is specifically reflected in the following aspects:
1. Optimize product development and production processes: The company can accurately optimize the structural design of the arc-extinguishing chamber and the grid piece configuration scheme by analyzing the impact of the number of arc-extinguishing grid pieces on the breaking capacity, scientifically formulate the control standards for the number of grid pieces, and improve the arc-extinguishing reliability of circuit breakers under high-current breaking working conditions.
1.2. Promote scientific and technological progress in the industry: This dataset can provide support for researchers and technical R&D personnel in the field of circuit breakers, helping them carry out work such as arc-extinguishing characteristic analysis, arc energy prediction and quality control, and promoting the improvement of performance stability of circuit breakers under extreme breaking working conditions.
1. Data Collection:
Record real-time test data of the breaking capacity of molded case circuit breakers under different numbers of arc-extinguishing grid pieces, including fields such as test sample number, test time, number of grid pieces / piece, breaking capacity / kA, etc.
2. Data Preprocessing:
(1) Denoise the collected data to ensure data accuracy.
(2) Aggregate the historically collected data (including this collection) to form dataset X, and calculate the average value of the breaking capacity field in dataset X.
3. Calculation of Linear Regression Slope a and Intercept b:
(1) Based on dataset X (with the number of grid pieces as the independent variable and breaking capacity as the dependent variable), use the SLOPE function to determine the slope a based on the principle of least squares, and use the INTERCEPT function to determine the intercept b.
(2) The slope a represents the degree of influence of the change in the number of grid pieces per unit on the breaking capacity (positive correlation), and the intercept b represents the breaking capacity value of the molded case circuit breaker under the reference number of grid pieces.
4. Result Application:
(1) Calculate the proportional coefficient k: k = |a / average breaking capacity| × 100%.
(2) If k ≥ 8%, it is judged as "high impact"; if 3% ≤ k < 8%, it is judged as "medium impact"; if k < 3%, it is judged as "low impact".

搜集汇总

背景与挑战

背景概述

该数据集记录了不同灭弧栅片数量条件下塑壳断路器的分断能力测试数据，包含532条记录，数据格式为CSV。数据集揭示了栅片数量与分断能力之间的量化关系，可用于优化产品设计和生产工艺，并推动行业科技进步。