Filtering device and filtering algorithm based on 3-sigma rule

Abstract

The invention discloses a filtering device and filtering algorithm based on the 3-sigma rule, and belongs to the field of data processing. The filtering algorithm includes the steps of acquiring and storing large sample data, calculating a sample average and a sample standard deviation, obtaining a population expectation confidence interval, obtaining a population standard deviation confidence interval, obtaining a 3-sigma interval, and completing data filtering according to the obtained 3-sigma interval. The filtering device comprises a data receiving module, a data storage module, a filtering parameter calculating module, a confidence interval selecting module, a data filtering module, a data transmitting module and a parameter information display module. According to the filtering device and filtering algorithm based on the 3-sigma rule, the data with the low confidence can be filtered in the data acquisition process, noise interference in the information acquisition process can be shielded, and the information can be effectively guaranteed to more approach to the true environment.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a filter device and a filter algorithm based on the 3σ rule. Background technique [0002] At present, the form of coal storage in my country is changing from open-air to closed. The application of closed coal storage yards such as coal storage silos and circular coal yards has realized the green, environmental protection and safety of coal storage. The application of closed coal storage yards has the advantages of convenient information management and environmental protection, but it also has many potential safety hazards. In particular, explosions in closed coal yards often occur due to coal spontaneous combustion, which not only caused huge property losses, It also directly threatens the life safety of workers. In order to effectively avoid such phenomena, a safety monitoring system is installed in the closed coal yard to monitor real-time changes in parameters such as temperat...

AI Technical Summary

Problems solved by technology

[0003] The safety monitoring system requires that the parameter information of the closed coal yard can be obtained accurately and in real time, but the complexity of the environment of the closed coal yard brings certain noise interference to the parameter information collection and communication, which seriously affects the accuracy of the parameter information and greatly reduces the the credibility of parameter information

In order to overcome noise interference, some safety monitoring systems adopt the data processing scheme of collecting multiple averages, adopting the scheme of collecting multiple points in the same plane and taking the average value, and adopting the scheme of collecting multiple times and discarding the highest and lowest values ​​before taking the average value. These schemes only perform a simple smoothing process on the data, but do not effectively filter out the data with low credibility and poor accuracy fundamentally, resulting in a large deviation between the parameter value and the actual environment, which seriously affects the safety monitoring system. normal work

Images