Method and system for data packaging in complex monitoring networks

Abstract

The invention discloses a method and a system for data packaging in complex monitoring networks. A bit error rate of a channel and an uploading cycle requirement of test point data are taken as parameters, a multi-scale constraint optimization model containing time is established, and solving is performed with a population based heuristic algorithm, so that minimization of network connection and data transmission times is realized. The method and the system can be applied to the complex monitoring networks such as an enterprise production process, a smart building system and the like and can be effectively used for optimal management of a large number of scene test points with different varieties, and by means of reduction of network connection and analysis times, operation burden of a superior data center is reduced, and operation efficiency of the system is improved.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a data packaging method and system in a complex monitoring network. Background technique [0002] In a complex monitoring network, due to the large number of measuring points, the data collection center often bears a huge burden of network connection and data analysis. In the system, using multiple collection units can effectively organize and manage its subordinate measuring points, such as figure 1 shown. Combining and packaging data through the collection unit can effectively reduce the number of network connections and data transmissions. Appropriate data packaging methods can greatly reduce the burden on the upper-level data unit and optimize system operation. [0003] For the situation where there are many measurement points in the monitoring network, the total amount of monitoring data is large, and the upload cycle requirements are different, the following issue...

AI Technical Summary

Problems solved by technology

[0004] First, if an error occurs during the sending process, it will often lead to the retransmission of the entire data frame

If the number of bytes in the combined data packet is too large, it is more likely to cause bit errors and lead to retransmissions, which in turn increases the total number of transmissions; if the number of bytes in the data packet is too short, it directly increases the number of packets and protocol headers, etc. Expenses, increasing the system's connection and analysis burden

[0005] Second, grouping causes the upload cycle of data in the group to be reduced to the minimum upload cycle in the group

Reducing the data upload cycle is equivalent to increasing the overall amount of data transmitted, which also increases the burden on the system

However, the upper limit of the upload period of measurement point data is set by the user, and the addition of measurement points in the network can also be regarded as dynamic and random, so it is difficult to simply define the group boundary based on the upload period as the standard

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