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Judgment method of farm sewage water quality grade based on 3v algorithm

A technology for farms and sewage, applied in the field of grade judgment, can solve the problems of data processing error, large amount of information, and reduce numerical analysis results, and achieve the effects of improving reliability and accuracy, high detection sensitivity, and wide monitoring range.

Active Publication Date: 2018-12-14
ZHEJIANG FORESTRY UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the large changes in the outdoor monitoring environment, the complex format of monitoring information, and the large amount of information, if these data cannot be effectively predicted and processed in a timely manner, many abnormal data will not be effectively identified, and missing information will reduce the effectiveness of sensor system monitoring. , and the analysis of monitoring data must be based on accurate and effective monitoring data. Wrong or abnormal monitoring data will reduce the results of numerical analysis, thereby affecting the function and characteristic analysis of the system, and bringing great errors to subsequent data processing. , normal information cannot be effectively utilized

Method used

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  • Judgment method of farm sewage water quality grade based on 3v algorithm
  • Judgment method of farm sewage water quality grade based on 3v algorithm
  • Judgment method of farm sewage water quality grade based on 3v algorithm

Examples

Experimental program
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Embodiment 2

[0084] Embodiment 2 includes all structures and method parts of Embodiment 1, and also includes the following modification steps between steps 300 and 400 of Embodiment 1:

[0085] The computer selects 20,000 sampling values ​​with a time interval of Δt from the average detection signal, and each sampling value is arranged in chronological order to form the detection signal I(t);

[0086] For each sample value ES(t) except the first sample value and the last sample value in I(t) 1 ), using the formula Calculate the smooth coefficient ratio;

[0087] The computer presets weight thresholds 0.5, 1, and 1.65 that increase sequentially;

[0088] For the sampling value whose ratio is in the range of [1-A1, 1+A1], correct the sampling value to B1 ES(t 1 ), A1 is 0.3, B1 is 0.35;

[0089] For the sampled value whose ratio is in the range of (0.6, 1-A1) or (1+A1, 1.65), correct the sampled value to B2ES(t 1 ), B2 is 0.54;

[0090] The corrected sampling values ​​are used to repl...

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Abstract

The invention discloses a method for judging the grade of culturing farm sewage water quality based on a 3V algorithm, the method includes a computer, m water intaking pumps, water pools and n water quality monitoring devices arranged in the water pool in the form of a matrix, each water quality monitoring device comprises a heavy metal sensor, a chloramine sensor, a pH value sensor, a fluoride sensor, an ozone sensor, a COD biosensor, a sodium ion sensor, a total phosphorus sensor and a nitrite sensor; each water pool comprises a plurality of water outlets; the method has the characteristics of high sensitivity and good accuracy.

Description

technical field [0001] The invention relates to the technical field of sewage water quality detection, in particular to a method for judging the water quality level of farm sewage based on a 3V algorithm with high detection sensitivity and good accuracy. Background technique [0002] From the perspective of the development of sensors and information monitoring technology, mature, stable, and high-performance sensor products have been applied to various monitoring systems, and with a suitable sensor data acquisition system, it is expected to achieve the optimization of information acquisition. However, due to the large changes in the outdoor monitoring environment, the complex format of monitoring information, and the large amount of information, if these data cannot be effectively predicted and processed in a timely manner, many abnormal data will not be effectively identified, and missing information will reduce the effectiveness of sensor system monitoring. , and the analy...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N27/00
CPCG01N27/00
Inventor 赵格格郑蓓蓓郑乐俞瑜惠国华
Owner ZHEJIANG FORESTRY UNIVERSITY
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