1. Introduction
With the rapid development of wireless communication technology, the number of various communication devices has risen sharply, and the electromagnetic spectrum is a non-renewable resource, making spectrum resources more precious, and it is urgently needed to allocate efficiently to make them fully utilized [1]. In general spectrum detection, a single detection node is often used to perform spectrum detection in a certain area, but the radio signal received by a single detection node is easily affected by multipath, shadow, and fading effects, resulting in deviations in the detected spectrum data. In order to overcome these influences in the radio propagation process, multiple detection nodes are used for collaborative detection. Through multi-node collaborative detection, some interference in the radio propagation process is overcome, and the spectrum detection rate and reliability are improved. The data obtained by spectrum detection has a certain timeliness, and spectrum data management is required. The electromagnetic spectrum database can solve the problem of data timeliness and facilitate later data processing. The spectrum database is designed on the basis of distributed node collaborative detection. The data of the spectrum database can be used as the source of spectrum visualization and other related business data analysis and processing [2], and it also follows the trend of big data development. The spectrum database can be used for presenting spectrum situation, regularity prediction and spectrum allocation, etc., and can also be used as data support for policy formulation, and it can also realize spectrum data sharing or realize dynamic spectrum allocation and access to improve spectrum utilization. Most of the spectrum has a low utilization rate [3], and there is an urgent need for a distributed electromagnetic spectrum database to store spectrum data, realize visual analysis, present effective spectrum data in a friendly interface, or serve as support for artificial intelligence related services [4].