Statistical method and system for audience ratings based on block chain

Abstract

The invention relates to a statistical method and system for audience ratings based on a block chain. The statistical method for the audience ratings based on the block chain comprises the following steps that collection nodes obtain current playing metadata of playing equipment, generate message records according to the metadata and send the message records to record nodes; the record nodes temporarily store the received message records and synchronize the message records received by the record nodes; one of all record nodes is selected to obtain block account right; the record node which obtains the block account right is temporarily stored in a new block which is formed by packaging all message records in the record nodes and is stored in the block chain; and statistical clients obtain blocks which are obtained from the block chain and count the audience ratings according to the message records in the blocks. According to the statistical method and system for the audience ratings based on the block chain, statistics of the audience ratings can be can be realized at low price in a way of collecting ratings data from different viewing channels in the whole network based on the advantages of the block chain, and the real and accurate ratings data can be obtained.

Description

technical field [0001] The invention relates to the technical field of audience rating statistics, in particular to a block chain-based audience rating statistics method and system. Background technique [0002] At present, there are different methods of collecting audience ratings for different types of viewing channels, which can be simply divided into digital TV, OTT of network operators, and video website data. [0003] Taking digital TV as an example, a company selects sample users in a small-scale sample, adds a data acquisition module to the set-top boxes of these users, and sends them wirelessly to the receiving base station for analysis. [0004] It has become a kind of unspoken rule that ratings be polluted or even manipulated. To sum up, the following methods can achieve the purpose of ratings falsification: buying and bribing sample households, or directly tampering with data. [0005] To sum up, the current ratings statistics method has the following defects: ...

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Problems solved by technology

[0006] 1. The data only passes through the statistical network controlled by a single centralized enterprise, and the data is extremely vulnerable to human influence and tampering;

[0007] 2. The number of samples is too small compared to the 100 million-level viewers, which is very easy to cause sample pollution;

[0008] 3. The statistical data results lack a mutual supervision and control mechanism, and the statistical data method is not transparent;

[0009] 4. Viewing channels are scattered and controlled by different service providers, making it difficult to summarize and obtain accurate data

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