Air quality monitoring and predicting system and method

Abstract

The invention provides an air quality monitoring and prediction system and method, and the system comprises a collection node, a storage node, and a prediction node, and the collection node, the storage node, and the prediction node form a blockchain network. The collection nodes are used for acquiring air pollution monitoring data and sending the monitoring data to the storage nodes in the area where the monitoring points are located. After receiving the monitoring data, the storage node verifies the data, generates a block from the data after passing the verification, and broadcasts the block in the system. Other storage nodes verify the blocks, and after the blocks pass the verification, the current storage node receives verification information of the other storage nodes and stores theblocks locally according to a time sequence to form a chain structure. Other storage nodes store the hash value, the time identifier and the position identifier of the block and the information of the storage node of the block locally for monitoring and querying the monitoring data, and the prediction nodes acquire monitoring data and predict future air quality in combination with a machine learning algorithm.

Description

technical field [0001] The invention relates to an air quality monitoring and prediction system and method. Background technique [0002] In recent years, the problem of environmental pollution has become more and more serious. Environmental problems such as smog, greenhouse effect and acid rain have seriously affected people's daily life. Environmental issues have become the focus of attention of people all over the world, and it is particularly important to strengthen environmental supervision and governance. [0003] At present, the air monitoring methods used in my country mainly include the following two: [0004] (1) Manual monitoring technology. Monitoring personnel obtain monitoring data by conducting experimental analysis on samples collected on site. This monitoring method can only obtain air pollution monitoring data within a certain period of time in the monitoring area, and cannot realize real-time monitoring of air quality in the monitoring area, and the mo...

AI Technical Summary

Problems solved by technology

However, in the process of data collection, transmission and storage, the data may be maliciously attacked or illegally tampered with.

In the process of data collection, illegal nodes can impersonate or attack legitimate collection nodes, upload illegal data or cause legitimate nodes to fail, causing errors in the uploaded air pollution monitoring data; data are easily tampered with maliciously during transmission, making uploading the data is invalid

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