Multi-class environment monitoring and early warning method and system based on Internet of Things data

Abstract

The invention relates to a multi-class environment monitoring and early warning method and system based on Internet of Things data, and belongs to the technical field of environment monitoring, the multi-class environment monitoring and early warning method comprises the steps that the average risk value of each monitoring grid in a target monitoring area is acquired, and each monitoring grid comprises at least one enterprise and one fixed monitoring station; marking the monitoring grids of which the average risk values exceed a risk threshold value as abnormal grids; acquiring a real-time wind speed in the target monitoring area; calculating a dynamic threshold value of a monitoring parameter in each abnormal grid according to the real-time wind speed; acquiring actual data of the monitoring parameters in each abnormal grid; and marking the abnormal grids with the actual data greater than the corresponding dynamic threshold values as early warning grids, and sending early warning information. The method has the beneficial effects that various environmental factors can be monitored to the maximum extent, so that the early warning accuracy is improved.

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