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Sludge bulking control expert system for diagnosis based on filamentous bacteria population structure

A technology of sludge bulking and expert system, which is applied in general control system, control/regulation system, adaptive control, etc., can solve problems such as slow judgment speed and human misjudgment, and achieve the effect of preventing high cost

Active Publication Date: 2011-05-18
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a sludge bulking control expert system based on the diagnosis of filamentous bacteria population structure, to solve the problem of sludge bulking in the existing sewage treatment technology, which can only be analyzed and judged by humans, and the judgment speed Slow, and it is prone to the defect of human misjudgment

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  • Sludge bulking control expert system for diagnosis based on filamentous bacteria population structure
  • Sludge bulking control expert system for diagnosis based on filamentous bacteria population structure
  • Sludge bulking control expert system for diagnosis based on filamentous bacteria population structure

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specific Embodiment approach 1

[0015] Specific implementation mode one: the following combination figure 1 This embodiment will be specifically described. This embodiment consists of five parts: knowledge base 1, database 2, reasoning machine 3, interpretation machine 4 and human-computer interaction unit 5;

[0016] Knowledge base 1, using production-based knowledge representation (this technology is a well-known technology), stores the knowledge and corresponding control strategies for diagnosing sludge bulking based on the structure of filamentous bacteria populations, and the establishment of rules in the knowledge base is based on the advantages of emergence Changes in the types of filamentous bacteria and sludge settling performance, and can update the knowledge base and add accident samples in time through the human-computer interaction unit 5;

[0017] Database 2 is used to store the raw data of sludge sampling obtained by online monitoring instruments, the data of offline detection, the ecological...

specific Embodiment approach 2

[0021] Specific Embodiment 2: The difference between this embodiment and Embodiment 1 is that the knowledge stored in the knowledge base 1 to diagnose sludge bulking based on the structure of the filamentous bacteria population also includes sludge bulking symptoms, that is, according to the sludge bulking The knowledge of sedimentation index SVI, filamentous bacteria index, sludge layer height, effluent suspended solids concentration and whether sludge loss occurs to judge whether sludge bulking occurs, under the condition of filamentous bacteria found in the microscope, when the following occurs When one or more symptoms occur simultaneously, it is judged that sludge bulking has occurred. Symptoms include: (1) sludge sedimentation index SVI higher than 250mL / g; (2) filamentous bacteria index (filamentous bacteria index is a known parameter) higher than 3 when microscopic observation; (3) sludge (4) When there is obvious sludge loss in the secondary settling tank.

[0022] W...

specific Embodiment approach 3

[0023] Specific implementation mode three: the following combination figure 2 and 3 , 4 The present invention is described in further detail. The difference between this embodiment and Embodiment 1 or 2 is that the diagnosis of the cause of sludge bulking in the inference engine 3 is realized through the rules compiled by CLIPS, and the rules are realized through the constructed sludge bulking fault diagnosis decision tree. see process figure 2 .

[0024]If sludge bulking is suspected or confirmed in the sewage treatment system, the sludge bulking fault diagnosis decision tree can be triggered to analyze the cause of the occurrence and formulate a solution through the sludge bulking fault diagnosis decision tree; the decision tree first analyzes the sludge settling performance (SVI value , filamentous bacteria index and sludge layer height), if the SVI value is normal or low (below 150mL / g, this value can be manually modified), continue to analyze the sludge sedimentation...

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Abstract

The invention relates to a sludge bulking control expert system for diagnosis based on a filamentous bacteria population structure. The invention relates to an expert system performing incentive recognition and fault diagnosis on the basis of the composition and the variation of a filamentous bacteria population structure, which can be applied to the sludge bulking control in the process of biological sewage treatment, and solves the problem of easiness of misjudge in the prior art as sludge bulking is analyzed and judged by human beings. The expert system comprises a knowledge base, a database, an inference engine and an explanation facility, wherein the knowledge base is used for storing knowledge for diagnosing sludge bulking based on the filamentous bacteria population structure and corresponding control strategies, regularly establishing the variation based on the variety of emergent dominant filamentous bacteria and sludge settling characteristics, and updating the knowledge base and adding accident samples in time; the database is used for storing sludge sampling raw data and offline detection data acquired by an online monitoring instrument, and ecological and morphological characteristics and secondary data acquired in the process of filamentous bacteria identification; the inference engine is used for determining the causes of sludge bulking through knowledge reasoning in the knowledge base; and the explanation facility is used for explaining reasoning results given by the interference engine.

Description

technical field [0001] The invention relates to an intelligent control system for sewage treatment, especially an expert system for identifying causes and diagnosing faults based on the structure composition and changes of filamentous fungus populations, which can be applied to the prevention and control of sludge bulking in the sewage biological treatment process. control. Background technique [0002] Activated sludge process is a sewage biological treatment process widely used in urban sewage and industrial wastewater treatment at home and abroad. Filamentous bacteria sludge bulking is the most common problem of sludge settling deterioration in sewage treatment plants using activated sludge process. There is an appropriate ratio between mycolloid bacteria and filamentous bacteria, and an appropriate amount of filamentous bacteria in activated sludge is very important for maintaining the floc structure of sludge. When the number of filamentous bacteria is appropriate, no...

Claims

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Application Information

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IPC IPC(8): G05B13/02
Inventor 彭永臻郭建华朱奥姚宏王淑莹
Owner HARBIN INST OF TECH
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