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Reverse recognition algorithm of pollution source in unsteady state flow field based on Markov chain

A pollution source, non-steady-state technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as slow calculation speed, inability to apply non-steady flow field, etc., to achieve the effect of improving speed

Active Publication Date: 2017-09-08
NANJING UNIV OF TECH
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Problems solved by technology

However, this method is only applicable to the calculation of pollution sources under steady-state flow field
To sum up, the current pollutant reverse identification model has three problems: (1) it needs to combine complex numerical calculation models, (2) the calculation speed is slow, and (3) it cannot be applied to unsteady flow fields.

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  • Reverse recognition algorithm of pollution source in unsteady state flow field based on Markov chain
  • Reverse recognition algorithm of pollution source in unsteady state flow field based on Markov chain
  • Reverse recognition algorithm of pollution source in unsteady state flow field based on Markov chain

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[0029] The following examples are used to illustrate the present invention, but are not used to limit the scope of the present invention. After reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0030] like figure 2 As shown, it is a typical multi-zone building example, including three indoor zones and one outdoor zone. The steps of reverse sourcing are as follows:

[0031] (1). Define the quantity vector of pollutants in the four areas as: The concentration quantity vector after Δt time is The pollutant transfer probability matrix within Δt time is a 4th order square matrix: is the transition probability matrix, where each item is the probability that pollutants transfer from area i to area j within the Δt time step, obtained by the following formulas (1) and...

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Abstract

The invention discloses a reverse recognition algorithm of a pollution source in an unsteady state flow field based on a Markov chain, which belongs to the technical field of indoor pollutant control, and aims to solve the problem of pollution source recognition in multiregion buildings in an unsteady state flow field. The reverse recognition algorithm comprises the following steps: determining a position value range of a pollution source; calculating a pollutant transfer probability matrix in a building in an unsteady state flow field; operating the transfer probability matrix and a potential pollution source matrix to obtain a responsive matrix; performing inversion by a regularization method to obtain a hourly release rate of a certain pollution source; solving hourly release rates corresponding to different positions of pollution sources in a set; distributing prior probability to pollution source position information; calculating a likelihood function by means of the transfer probability matrix; calculating posterior probability by means of Bayes rule, thereby obtaining the pollution source position and the release rate thereof with the maximum posterior probability. Compared with numerical value calculation, the reverse recognition algorithm has the advantages that the calculating speed is increased, and reversal calculation of the positions and release rates of pollution sources in multiregion buildings in a unsteady state flow field can be realized.

Description

[0001] (1) Technical field [0002] The invention belongs to the technical field of indoor pollutant control, and in particular relates to a reverse identification algorithm of pollution sources in a multi-zone building, which is used for identifying the location and release rate of pollution sources in a multi-zone building. [0003] (2) Background technology [0004] In the field of indoor pollutant control technology, the control of pollution sources through the reverse identification of the location and release rate of pollution sources is one of the important means to ensure good indoor air quality. It has a wide range of applications in the fields of safety, fire protection and disease control. Application prospect. The reverse identification method of pollution sources, including the identification of release location and release rate, usually includes forward matching model, adjoint method, neural network, stabilization method, matrix inverse algorithm and probability m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00G06F2219/10
Inventor 李斐王瑜周斌
Owner NANJING UNIV OF TECH
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