A method and system for improving the accuracy of Internet of Things data transmission

Abstract

The invention discloses a method and system for improving the accuracy of Internet of Things data transmission. The method includes: obtaining frame headers in all data frames; obtaining the number of digits M between adjacent frame headers; obtaining the shortest frame length N; judging whether M is greater than Equal to N; if M is less than N, take the next frame header as the reference, and obtain M repeatedly until M is greater than or equal to N; if M is greater than or equal to N, cut the data into N data frames; read the data Y of the frame length; judge Whether the data bit X is larger than Y; if it is larger, it is wrong data; judge whether X is smaller than Y; if it is smaller, intercept (Y‑X) bits forward and re-divide; if X is larger than Y, take the data bits in it for cyclic redundancy Check the calculation to get the calculation result; compare the calculation result with the frame check digit; if the two are not equal, the frame data is wrong; if the two are equal, the frame data is correct. The above method in the present invention can improve the accuracy of data transmission, reduce the loss of data frames and reduce the error rate of data frame analysis.

Description

technical field [0001] The invention relates to the field of data security, in particular to a method and system for improving the accuracy of data transmission in the Internet of Things. Background technique [0002] In recent years, with the development of society, the Internet of Things industry has become more and more important, which also reflects that the accuracy of data transmission is becoming more and more important. [0003] Part of the IoT software framework consists of a platform layer and a perception layer. The commands sent by the platform layer are transmitted to the perception layer in the form of data frames, and the perception layer returns the data frames to the platform layer. [0004] However, the platform layer sends data packets (including a lot of data frames) to the perception layer. These data frames are more and more chaotic, which causes the perception layer to analyze the data and send it in disorder. There are often situations such as missin...

AI Technical Summary

Problems solved by technology

[0004] However, the platform layer sends data packets (including a lot of data frames) to the perception layer. These data frames are more and more chaotic, which causes the perception layer to analyze the data and send it in disorder. There are often situations such as missing data frames and data frame parsing errors, resulting in An error occurs in the transmitted data, which means that the user sends a command and the wrong result occurs, which brings a lot of trouble to the user.

Images