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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  • Abstract
  • Description
  • Claims
  • Application Information

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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

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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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Example Embodiment

[0015] Specific implementation mode 1: the following combination figure 1 This embodiment will be described in detail. This embodiment is composed of five parts: knowledge base 1, database 2, inference engine 3, interpreter 4 and human-computer interaction unit 5;

[0016] Knowledge base 1, using production-based knowledge representation (the technology is a well-known technology), storing knowledge based on filamentous bacteria population structure to diagnose sludge bulking and corresponding control strategies. The establishment of rules in the knowledge base is based on the advantages that appear Changes in filamentous bacteria types and sludge settlement performance, and can update the knowledge base and add accident samples in time through the human-computer interaction unit 5;

[0017] Database 2, used to store the original sludge sampling data obtained by online monitoring instruments, offline detection data, ecological and morphological characteristics obtained during the i...

Example Embodiment

[0021] Specific embodiment 2: The difference between this embodiment and the first embodiment is: the knowledge of diagnosing sludge expansion based on the filamentous bacteria population structure stored in the knowledge base 1 also includes the signs of sludge expansion, that is, according to the sludge Sedimentation index SVI, filamentous bacteria index, sludge layer height, effluent suspended solids concentration and whether sludge loss occurs to determine whether sludge bulking occurs. Under the conditions of microscopic examination that filamentous bacteria are found, when the following occurs When one or more symptoms occur simultaneously, it is determined that sludge bulking has occurred. Symptoms include: (1) The sludge sedimentation index SVI is higher than 250mL / g; (2) The filamentous bacteria index (filamentous bacteria index is a known parameter) is higher than 3 when observed under microscope; (3) sludge The height of the layer is close to the warning position; (4...

Example Embodiment

[0023] Specific implementation manner three: the following combination figure 2 with 3 4. The present invention will be further explained in detail. The difference between this embodiment and the first or second embodiment is that the diagnosis of the cause of sludge expansion in the inference engine 3 is realized by the rules compiled by CLIPS, and the rules are realized by the constructed sludge expansion fault diagnosis decision tree. See you in the process figure 2 .

[0024] If sludge expansion is suspected or determined in the sewage treatment system, the sludge expansion fault diagnosis decision tree can be triggered, and the sludge expansion fault diagnosis decision tree can be used to analyze the cause and formulate a solution; the decision tree first analyzes the sludge settlement performance (SVI value) , Filamentous bacteria index and sludge layer height), if the SVI value is normal or low (less than 150mL / g, the value can be modified manually), continue to analyze ...

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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...

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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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