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Methods of Improving the Reliability of Water Quality Monitoring Data

A technology for water quality monitoring and reliability, applied in the direction of testing water, material inspection products, etc., can solve the problems of water quality monitoring without significantly increasing the cost, and achieve the effect of convenient implementation, improved reliability, and improved monitoring.

Inactive Publication Date: 2016-05-25
NANJING TECH UNIV
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  • Claims
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Problems solved by technology

[0008] The technical problem to be solved by this invention is how to improve the reliability of water quality monitoring and obtain accurate water quality information without significantly increasing the cost

Method used

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  • Methods of Improving the Reliability of Water Quality Monitoring Data
  • Methods of Improving the Reliability of Water Quality Monitoring Data
  • Methods of Improving the Reliability of Water Quality Monitoring Data

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Embodiment Construction

[0028] The target water area is divided into near-surface layer, middle layer, and near-bottom layer in the vertical direction, and n sensors are arranged in each layer, and the data collected by the sensors in the near-surface layer, middle layer, and near-bottom layer are recorded as [X 1 ,X 2 ,...X i ...,X n ], [Y 1 ,Y 2 ,...Y i ...,Y n ] and [Z 1 ,Z 2 ,...Z i ...,Z n ], where X i , Y i ,Z i are the data collected by the i-th sensor near the surface, the middle layer, and the bottom layer respectively, i=1, 2,..., n; if the interface area of ​​the target water area is A, and the coverage area of ​​each sensor is S, then there are n · S≥A;

[0029] Collect the sensor data of the near-surface layer, the middle layer, and the near-bottom layer, and adopt the method of calculating the average value of multiple experiments to obtain training samples, extract the same-layer measurement point data in the training samples, and use the support vector data description me...

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Abstract

The invention relates to a method for improving reliability of water quality monitoring data. The method comprises the following steps: performing mesh generation, setting a sensor matrix, and acquiring data, wherein all measuring points meet a certain mutual relationship on the same water level and in the same vertical direction when all sensor arrays operate normally, and directly outputting sensing data through a processor when judging that the matrix element is smaller than 2; and when the mutual relationship is not met, judging that the matrix element is equal to 2, judging that the data of the measuring points is not reliable by the processor, correcting the data by using an average value of other measuring points on the same water level, and outputting the sensing data after the data are corrected. A plurality of groups of sensors which are adopted at the same measuring point for monitoring are not needed, expensive imported sensors do not need to be purchased, the monitoring data reliability can be effectively improved, the implementation is convenient, sensors with faults can be also positioned, and a detection system is convenient to adjust and maintain.

Description

technical field [0001] The invention relates to a water quality testing method, in particular to a method for improving the reliability of water quality monitoring data. Background technique [0002] In industry, agriculture, and environmental protection, there are a large number of projects that need to monitor water quality, such as sewage treatment, aquaculture, etc. The automatic monitoring of these water quality is realized by multiple sensors. For example, a pH sensor is used to measure the pH value, and a dissolved oxygen sensor is used to measure the oxygen content in water. [0003] These measurements provide the basis for subsequent decisions. Taking aquaculture as an example, it is necessary to monitor the amount of dissolved oxygen in the water in real time. Once the oxygen in the water is too low, it is necessary to add oxygen in time with an air pump. However, if the sensor fails and the gap between the measured data and the actual data is large, it may caus...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/18
Inventor 易辉刘宇芳薄翠梅
Owner NANJING TECH UNIV