电子汽车衡计量检定中电子控制传感系统的优化调整  

Optimization and Adjustment of Electronic Control Sensing System in Metrological Verification of Electronic Truck Scale Measurement

在线阅读下载全文

作  者:孙亚娟 SUN Yajuan(Karaqin Banner Market Supervision Comprehensive Administrative Law Enforcement Brigade,Chifeng Inner Mongolia 024400,China)

机构地区:[1]喀喇沁旗市场监管综合行政执法大队,内蒙古赤峰024400

出  处:《信息与电脑》2024年第15期154-156,177,共4页Information & Computer

摘  要:随着电子衡器行业的蓬勃发展,其应用领域已广泛覆盖各行各业,在电子汽车行业中的应用尤为普遍。在进行电子汽车衡的计量检测时,确保秤体自身质量合格是基础,但安装质量、接地处理、调试精度以及抗干扰能力等因素也很重要,它们会对最终的计量检测结果产生显著影响。因此,为了有效控制电子汽车衡计量检测中的误差,必须全面、综合地考虑上述影响因素,确保每个环节达到最优状态。本文探讨了电子控制传感系统在电子汽车衡中的应用价值,分析了在优化过程中遇到的主要难点,并提出了相应的优化策略。这些策略旨在提升系统性能,确保计量检定工作高效、精准。With the booming development of the electronic weighing industry,its application fields have widely covered various industries,and its application in the electronic automobile industry is particularly common.In the measurement and testing of electronic vehicle scales,to ensure that the scale itself is qualified is the basis,but the quality of installation,grounding,debugging accuracy and anti-interference ability and other factors are also very important,they will have a significant impact on the final measurement and testing results.Therefore,in order to effectively control the error in the measurement and detection of electronic vehicle scales,it is necessary to comprehensively and integrally consider the above influencing factors to ensure that each link reaches the optimal state.This paper discusses the value of electronic control sensing systems in the application of electronic vehicle scales,analyzes the main difficulties encountered in the optimization process,and proposes corresponding optimization strategies.These strategies are designed to improve system performance and ensure efficient and accurate measurement and calibration work.

关 键 词:电子汽车衡 计量检定 电子控制 传感系统 

分 类 号:U464[机械工程—车辆工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象