Sewage treatment automation operating system implemented by utilizing statistical modeling technology

Abstract

The invention belongs to the technical field of sewage automatic treatment, and discloses a sewage treatment automation operating system implemented by utilizing a statistical modeling technology. The sewage treatment automation operating system comprises an integrated module, an early-warning module, a USAOS system, a communication module, a Web service system, a reporting module, a database system and a daily management module, wherein the integrated module is used for receiving and issuing instructions among an anaerobic module, a facultative module, an aerobic module, a sludge module, a dephosphorization module and a denitrification module, and the integrated module is connected with the early-warning module; and the integrated module sends code processing data to the USAOS system, the USAOS system returns a scheduling strategy to the integrated module at the same time, the USAOS system can further read alarming and early-warning information, the USAOS system issues an instruction to the daily management module according to the information, and the daily management module exerts the information on equipment. The sewage treatment automation operating system can achieve unattended operation, adjusts sewage flow and equipment operating parameters in a fully-automatic manner, sends out early warning, and can realize remote intervention and diagnosis.

Description

technical field [0001] The invention specifically relates to an automatic operation system for sewage treatment by using statistical modeling technology, and belongs to the technical field of automatic sewage treatment. Background technique [0002] The traditional automatic monitoring system for sewage treatment is composed of on-site data acquisition system and automatic monitoring system. The control of equipment is mostly completed by people, and the judgment of operating indicators is mostly judged by technicians based on experience. [0003] At present, the automation level of domestic urban sewage plants: (1) From the perspective of monitoring, the current level of automation system can meet the operation requirements; the system can mark the parameters of equipment, instruments, factory boundaries and many other aspects, and the system can also monitor the operation of equipment , Abnormal alarms in some technological processes can also feed back indicators to techni...

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Problems solved by technology

(2) The monitoring parameters are not comprehensive; in the operation process of urban sewage plants, the biochemical link is undoubtedly the most important part of the process, whether it is conventional activated sludge method, oxidation ditch method, SBR method, A2O method, simply from Indicators such as sludge concentration, sludge age, MLSS, and reflux ratio obviously cannot fully reflect the growth of organisms; the traditional method is to microscopically observe the indicator indicators of microorganisms in the laboratory; but the data cannot be organically combined with the entire automated monitoring system

(3) The storage time of monitoring data is too short, and the use is unscientific; the general automatic control system stores data for about 3 months, and the empirical data of sewage operation is very important. The existing system cannot use longer-term data, and more The data is of little value, so the storage time is not long; and the existing data are generally used for trend comparison, and the graph is also its own time graph, which acts as an alarm and reminder for the operation of the entire sewage, and has no effect on the entire system. Big

(4) The existing automatic control system rarely has a feedback system, and the automatic dosing system may be more perfect. Fixed chain operation, the automation system can not effectively play a role

(5) The system can alarm, but not early warning

(6) The control system and management system are not closely integrated, and there is little communication with the outside world, which is not conducive to the progress and development of the overall industry

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