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Big data sewage monitoring system for networking application

A monitoring system and networking application technology, applied in water treatment parameter control, biological water/sewage treatment, water/sewage multi-level treatment, etc., can solve the problems of inaccurate governance feedback, poor timeliness, and complexity, and meet the requirements of interoperable applications effect of demand

Inactive Publication Date: 2020-11-10
广东柯内特环境科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Whether the discharge of hospital wastewater meets the standard and whether it can be effective can only rely on the monthly or quarterly sampling data as a reference. Not only is the timeliness poor, but the treatment feedback is not accurate enough
In addition, the on-site environment of some wastewater treatment is relatively complex, and failures and accidents are prone to occur during the treatment operation and maintenance period. If these accident information cannot be identified and processed in time, it will also lead to a greater threat of sewage discharge

Method used

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  • Big data sewage monitoring system for networking application
  • Big data sewage monitoring system for networking application
  • Big data sewage monitoring system for networking application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] For the control of residual chlorine discharge in sewage, in a certain hospital, the system will monitor according to the dosing frequency and discharge law of the sodium hypochlorite dosing pump used in the hospital, and identify the drug effect-residual chlorine concentration ratio of the hospital in different periods, such as It is identified that between 8 and 10 o'clock in the hospital, under the current water volume change level, the correlation ratio between the residual chlorine concentration and the dosing amount is x%, and based on the preset theoretical sewage discharge information records and the historical status of this time period in the past Information analysis shows that there may be a large error between the relevant ratio and the standard value, and then a dynamic reminder of the adjustment of the dosing amount of the corresponding dosing equipment is performed based on this, so as to control and adjust the dosing equipment.

Embodiment 2

[0050] In a hospital, the system recognizes that the difference between the discharge trend of the hospital and the historical average fluctuation trend exceeds the similarity threshold, and the residual chlorine concentration is far lower than the standard value, and then conducts an abnormal investigation according to the prompts. After investigation, it was found that it was caused by the intrusion of rainwater due to the damage of the discharge outlet.

Embodiment 3

[0052] In a certain hospital, the system recognizes that the difference between the discharge trend of the hospital and the historical average fluctuation trend exceeds the similarity threshold, and the residual chlorine concentration belongs to the standard value, and then conducts abnormal investigation according to the prompts. After investigation, it was found that the water flow meter was working abnormally, and it was necessary to repair or replace the corresponding equipment.

[0053] And preferably, a medicament container can be arranged in front of the dosing machine, and the outlet of the container is a regulating valve, and the dosage of the dosing can be controlled by regulating the opening and closing of the valve. There is a residual chlorine analyzer in the dosing machine, and the system obtains the disinfection mode and correlation relationship of each hospital according to the model analysis, and controls the medicament through the hospital's disinfectant type,...

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Abstract

The invention provides a big data sewage monitoring system for networking application, which comprises a plurality of sewage treatment systems, each sewage treatment system is internally provided withoperating equipment for periodic operation, and the operating equipment is in communication connection with a monitoring device; wherein each monitoring device corresponding to each sewage treatmentsystem is connected to an information sharing end through network communication. By means of the big data sewage monitoring system of the networking application, sewage treatment monitoring can be achieved, meanwhile, information sharing processing is conducted through the networking application, and the intercommunication application requirement of network big data is met.

Description

technical field [0001] The invention relates to the technical field of sewage treatment, in particular to a big data sewage monitoring system for network application. Background technique [0002] The safe disposal of hospital sewage is an important measure to control the spread and spread of infectious diseases and prevent secondary pollution and cross-infection. However, at present, due to inadequate management and low sense of responsibility of sewage treatment personnel in some hospitals, the abnormal use of hospital sewage treatment facilities, excessive medical wastewater (residual chlorine, etc.), direct and sneaky discharge of hospital sewage, etc. It constitutes a certain threat to the life safety of the people. In addition, since there are large differences in the instantaneous flow rate, cumulative flow rate, and wastewater pollutant concentration of medical wastewater in each time period of the hospital every day, mechanical dosing treatment cannot meet the trea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C02F9/14
CPCC02F9/00C02F3/28C02F3/02C02F1/50C02F3/00C02F2209/008C02F2103/003
Inventor 朱斌龙力辉张浩彬黄健辉潘荣赞王明生邱春晓毛杨辉黎柏允
Owner 广东柯内特环境科技有限公司