Unmanned plane-based enterprise carbon emission detection method

Abstract

The invention discloses an unmanned plane-based enterprise carbon emission detection method, and according to the method, an unmanned plane is used as a carrier platform for inspection of distribution state of factory buildings and chimneys, the position with the largest pollution gas concentration at a corresponding height can be determined. On the basis, an unmanned plane movement route can be planned and optimized by use of Dijkstra algorithm and cubic spline difference value. The method comprises the following steps: (1) obtaining plant planar graph data; (2) according to a plant planar graph, drawing Voronoi diagram; (3) on the basis of an improved Gauss model, respectively detecting points needed to be traversed when the unmanned plane detects a high self-supporting chimney and points needed to be traversed when the unmanned plane detects a low self-supporting chimney; (4) using the Dijkstra algorithm, preliminarily planning an unmanned plane detection path; and (5) using the cubic spline difference value and seqential quadratic programming for path optimization to determine an optimal unmanned plane detection path. The method can guarantee that the unmanned plane achieves carbon emission detection of multiple emission sources of a plant under the condition of the optimal path, and has the advantages of being low in cost, real-time and flexible and the like.

Description

technical field [0001] The invention relates to the field of UAV sensor detection, in particular to a UAV-based enterprise carbon emission detection method, which is an enterprise carbon emission detection method combined with a Gaussian emission model and UAV path optimization. Background technique [0002] In terms of carbon emission detection, the current typical method is to place sensors at appropriate locations in the production enterprise, collect relevant data on carbon emissions, and then calculate and summarize them. However, due to various factors such as height and temperature in the detection environment, the complexity and uncertainty of the traditional fixed-point sampling method are increased, and this method cannot track the pollution source, and the measurement of the concentration is not accurate, easy to falsify, and difficult to obtain ideal Effect. At the same time, a considerable part of the carbon pollution data is only obtained through theoretical c...

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Problems solved by technology

However, the above-mentioned schemes have certain defects, such as huge investment, long construction period, limited detection range, difficult to implement algorithms, etc., and they are all in the stage of planning and experimentation, and it is difficult to achieve ideal results in the near future.

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