Sewage disposal fault diagnosis method and device

Abstract

The invention provides a sewage disposal fault diagnosis method and device. The method comprises that at least one piece of fault information related to sewage disposal is received; and the at least one piece of fault information is sent to an expert module, and a fault diagnosis result corresponding to each fault information is received from the expert module; or, on the basis of each fault information, a sewage disposal knowledge base, which is established on the basis of one semantic tree corresponding to a technical flow of sewage disposal, is called to determine a fault diagnosis result corresponding to the fault information. According to the sewage disposal fault diagnosis method and device, the fault information can be described accurately, knowledge in the sewage disposal knowledgebase is updated dynamically, online interaction and communication with technical experts are realized, and thus, the proper and effective fault diagnosis result can be obtained.

Description

technical field [0001] The present invention generally relates to the technical field of sewage treatment, and more specifically relates to a sewage treatment fault diagnosis method and device. Background technique [0002] Sewage treatment is a complicated process, and the commonly used tertiary treatment processes include physical methods, biological methods and chemical methods. Affected by residents' life rules, industrial wastewater discharge, climate and geographical conditions, etc., the water quality and water quantity of sewage treatment plants will show certain fluctuations, which makes the sewage treatment process multi-variable, nonlinear, time-varying and uncertain sexual characteristics. Therefore, during the operation of sewage treatment plants, technical management personnel are often required to implement appropriate intervention to ensure the normal operation of the sewage treatment process and make the effluent discharge up to the standard. [0003] At p...

AI Technical Summary

Problems solved by technology

[0004] However, the existing sewage treatment expert system knowledge base is often constructed for common problems in the sewage treatment process, and sometimes it is difficult to give satisfactory results based on the faults in the sewage treatment process, mainly because of the following three Aspects: (1) The input information is inaccurate and the result is too single

For example, the input information is inaccurate due to the imperfection of the sewage treatment expert system, unclear description of fault phenomena, and many conditions that affect the results given by the sewage treatment expert system, making it difficult to obtain the results given by the sewage treatment expert system good expected effect

(2) The knowledge in the knowledge base cannot be changed flexibly and dynamically

For example, after the knowledge base of some sewage treatment expert systems is established, new knowledge is not allowed to be added, or the knowledge base is re-established every quite a long time, which seriously affects the practicability and effectiveness of the sewage treatment expert system.

(3) Lack of interaction with online technical experts

Images