Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Expert system and method for preventing and controlling sludge bulking under the diagnosis based on operation condition of sewage disposal plant

A sewage treatment plant, sludge bulking technology, applied in general control system, control/regulation system, adaptive control, etc., can solve the problems of misjudgment due to human reasons, slow diagnosis speed, etc., increase accident samples, realize prevention and The effect of the early warning function

Active Publication Date: 2011-08-17
HARBIN INST OF TECH
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a sludge bulking prevention and control expert system and method based on the diagnosis of sewage treatment plant operating conditions, so as to solve the problem of sludge bulking in the existing sewage treatment technology, which can only be analyzed and diagnosed by humans and control, the diagnosis speed is slow, and it is also prone to the defects of human misjudgment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Expert system and method for preventing and controlling sludge bulking under the diagnosis based on operation condition of sewage disposal plant
  • Expert system and method for preventing and controlling sludge bulking under the diagnosis based on operation condition of sewage disposal plant
  • Expert system and method for preventing and controlling sludge bulking under the diagnosis based on operation condition of sewage disposal plant

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0025] Specific implementation mode one: combine figure 1 with figure 2 Describe this embodiment, this embodiment includes knowledge base module 1, database module 2, reasoning machine module 3, explanation machine module 4 and human-computer interaction unit 5;

[0026] Knowledge base module 1 is used to store methods for diagnosing sludge bulking and controlling sludge bulking based on operating parameters of sewage treatment plants. The establishment of rules in knowledge base module 1 focuses on changes in process operating parameters and sludge settling performance. And the method in the knowledge base module 1 can be updated in time through the human-computer interaction unit 5, and successful cases and unsuccessful cases in the diagnosis and control process can be added;

[0027] The database module 2 is used to store the raw data obtained by the online monitoring instrument, the data detected offline and the secondary data generated during the diagnosis process;

[...

specific Embodiment approach 2

[0044] Specific embodiment two: the difference between this embodiment and specific embodiment one is that the method for diagnosing sludge bulking based on the operating parameters of the sewage treatment plant stored in the knowledge base module 1 includes sludge sedimentation index SVI, filamentous bacteria index , the height of the sludge layer, the concentration of suspended solids in the effluent, and whether sludge loss occurs to determine whether sludge bulking occurs; the condition for diagnosing whether sludge bulking occurs in step 4 is: under the condition that filamentous bacteria are found in the microscopic examination , when one or more of the following symptoms occur at the same time, sludge bulking has occurred; the symptoms include: a. The sludge sedimentation index SVI is higher than 250mL / g; b. The bacterial index is higher than 3; c, the height of the sludge layer is close to the warning level; d, the secondary sedimentation tank has obvious sludge loss ph...

specific Embodiment approach 3

[0045] Embodiment 3: The difference between this embodiment and Embodiment 1 or 2 is that when sludge bulking occurs in Step 5, according to the process operation parameters in the sewage treatment system: dissolved oxygen concentration, sludge load range, influent water quality Indicators, effluent water quality indicators, water temperature, sludge return ratio, sludge age, analyze and give the cause of sludge bulking, and provide corresponding solutions and the credibility of the reasoning results. The specific reasons mentioned include sludge bulking caused by low dissolved oxygen, sludge bulking caused by low load, sludge bulking caused by influent C / N / P ratio imbalance, sludge bulking caused by low temperature, and sludge bulking caused by high load. Sludge bulking, sludge bulking caused by high influent sulfide concentration, and sludge bulking caused by low pH. Solutions to sludge bulking include increasing aeration, increasing sludge load, adding nutrients appropriate...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an expert system and method for preventing and controlling sludge bulking under the diagnosis based on operation condition of a sewage disposal plant, belonging to the crossing fields of an environmental engineering technology, a computer software technology and an automatic control technology, and overcoming the defects that the diagnosis speed is slow and man-made erroneous judgment is easy to make because the sludge bulking is analyzed, diagnosed and controlled manually only in the traditional sewage disposal technology. A knowledge base module is used for storing diagnosis methods and control methods, wherein rules are mainly established based on process running parameters and sludge sedimentation performances, and a man-machine interaction unit can be used for timely updating the methods stored in the knowledge base module and adding successful and unsuccessful cases during diagnosis and control. A database module is used for storing original data, offline detection data and secondary data acquired by an online monitoring instrument. An inference engine module is used for carrying out forward reasoning. An explanation engine module is used for explaining. A man-machine interaction unit is used for finishing information communication between users and the system.

Description

technical field [0001] The invention belongs to the interdisciplinary field of environmental engineering technology, computer software technology and automatic control technology, and relates to sewage treatment systems and intelligent control systems, especially the developed expert system for fault diagnosis based on operating conditions and sludge settling performance as indicator features , can be applied to the prevention and control of sludge bulking in the sewage biological treatment process. Background technique [0002] The activated sludge method is a sewage biological treatment process widely used in domestic and foreign urban sewage and industrial wastewater treatment. It mainly includes two stages, namely, the biochemical treatment stage of pollutants and the physical stage of mud-water separation. Pollutants such as organic matter, nitrogen and phosphorus contained in sewage enter the biological reaction tank and will be removed by activated sludge through bioc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G05B13/04
Inventor 彭永臻郭建华朱奥姚宏王淑莹
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products