Analysis and verification methods of abnormal data of coal mine safety monitoring system
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摘要: 从煤矿安全监控系统升级改造方案中对数据分析和伪数据识别的需求入手，以瓦斯数据为例，分析了3种最常见的伪数据类型及其产生原因。针对传感器标校产生的伪数据，提出应增加专门针对伪数据识别的标校实验；针对电磁干扰产生的伪数据，提出通过预先在传感器程序中埋入误码来模拟干扰点瓦斯浓度值的方法；针对传输或者设备故障产生的伪数据，提出随机制造传感器或者传输线路故障，观察数据处理结果的方法。对某厂家的安全监控系统进行模拟检验，验证了所提方法的有效性和可行性。Abstract: Three most common types of pseudo data and the causes were analyzed taking gas data as an example, and starting from demand of data analysis and pseudo data identification in upgrading program of coal mine safety monitoring system. For the pseudo data generated by sensor calibration, it is proposed to add calibration experiment specifically for identification of the pseudo data. For the pseudo data generated by electromagnetic interference, a method of simulating gas concentration value of the interference point by embedding error code in sensor program is proposed. For the pseudo data generated by transmission or equipments failure, a method of randomly manufacturing sensor or transmission line failure and observing the data processing results is proposed. The effectiveness and feasibility of the proposed methods were verified by simulation test of safety monitoring system of a certain manufacturer.
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Keywords:
- coal mine safety monitoring system /
- upgrading /
- abnormal data /
- pseudo data /
- data inspectio
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期刊类型引用(8)
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