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Performance evaluation and prediction method and system for life cycle of water quality sensor

A water quality sensor and life cycle technology, which is applied in the direction of testing water, material inspection products, etc., can solve the problems of lack of accuracy and real-time, status data induction, insufficient utilization, etc., and achieve the effect of solving low prediction accuracy.

Pending Publication Date: 2020-10-09
HKY TECH
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AI Technical Summary

Problems solved by technology

A systematic and all-round sensor performance evaluation and prediction method has not yet been formed, and the induction and utilization of state data are not sufficient, and at the same time, they lack accuracy and real-time performance

Method used

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  • Performance evaluation and prediction method and system for life cycle of water quality sensor
  • Performance evaluation and prediction method and system for life cycle of water quality sensor
  • Performance evaluation and prediction method and system for life cycle of water quality sensor

Examples

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Embodiment 1

[0093] Assuming that the water quality sensor is a pH sensor, collect the state parameter data of the pH sensor, estimate the development trend of historical data through mathematical modeling, obtain the curve of electrode life and time, that is, the life distribution, define the electrode wear limit, and predict the continuous operation of the sensor to reach the use time limit. It is assumed that the performance of the electrode can be described well enough by the model under the basic known properties, medium and environmental conditions.

[0094] (1) Using adaptive learning ideas to improve the model

[0095] Such as Figure 2-3 As shown, based on the overall samples of the whole life cycle of each parameter, the parameters of the life distribution are estimated to obtain the initial life model, and the regression coefficients are optimized at the same time. The optimization methods include gradient descent and Newton's method. Evaluate the regression prediction effect ...

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Abstract

The invention discloses a performance evaluation and prediction method and system for the life cycle of a water quality sensor. The method comprises the steps: S100, collecting and storing state parameters used for reflecting the performance of the water quality sensor; and S200, based on the state parameters of the water quality sensor and a self-adaptive integration model, performing regressionanalysis on the performance, the aging rule and the residual service life of the water quality sensor, evaluating the performance of the water quality sensor, and predicting the residual service life,the next calibration time and the next maintenance time of the water quality sensor. The method provided by the invention is used for systematically and comprehensively evaluating and predicting theperformance of the sensor. Self-adaptive regression solves the problems of complex life distribution and easy sudden change of the state; the integrated model solves the problems of low prediction precision and poor stability.

Description

technical field [0001] The present invention relates, in particular, to a method and system for evaluating and predicting the life cycle performance of a water quality sensor. Background technique [0002] In petrochemical and other process industries, it is necessary to monitor environmental parameters such as water, steam, and oil during storage or processing of raw materials to ensure product quality, improve process safety, and control operating costs. [0003] Sensors are windows to understand process status, and their effectiveness is the premise and basis for implementing process control and optimization. Sensors must maintain optimum measurement performance and need to be properly cleaned and maintained, but their reliability is often inherently flawed. Optimizing the performance of these sensors enhances their reliability, improves process integrity and reduces downtime, avoiding longer interruptions and substantially increasing production capacity. According to s...

Claims

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Application Information

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IPC IPC(8): G01N33/18
CPCG01N33/18
Inventor 董浩陈云龙边宝丽
Owner HKY TECH
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