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Self-adaptive dynamic self-learning online monitoring system for water quality of shared direct drinking water

An adaptive and self-learning technology, applied in the field of mobile Internet services, which can solve the problems that the quality of bottled water cannot be guaranteed for safety and health, physical health threats, and the quality, capacity, and price of bottled mineral water are uneven.

Active Publication Date: 2017-10-03
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Especially for the health and convenience requirements of daily drinking water are getting higher and higher. The current drinking water methods on the market include direct drinking water and bottled mineral water. The quality, capacity and price of bottled mineral water are uneven. In the existing Under the economic system, the quality of bottled water cannot be guaranteed for safety and health. There are a large number of bottled mineral water "shoddy" in the market. potential threat to health

Method used

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  • Self-adaptive dynamic self-learning online monitoring system for water quality of shared direct drinking water
  • Self-adaptive dynamic self-learning online monitoring system for water quality of shared direct drinking water
  • Self-adaptive dynamic self-learning online monitoring system for water quality of shared direct drinking water

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Embodiment Construction

[0073] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings; it should be understood that the preferred embodiments are only for illustrating the present invention, rather than limiting the protection scope of the present invention.

[0074] The shared direct drinking water quality dynamic self-learning online monitoring method provided by the present invention comprises the following steps:

[0075] S110: Establishing a neural network input sample set according to the control parameters influenced by the constant water quality in the water tank;

[0076] S120: Establish a neural network output sample set according to the real-time measured constant water quality index in the water tank;

[0077] S130: Perform principal component extraction on the constructed modeling input sample set, reduce sample redundancy, and obtain a new sample set;

[0078] S140: Perform normalization processing on the new s...

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Abstract

The invention discloses a self-adaptive dynamic self-learning online monitoring method for water quality of shared direct drinking water. The self-adaptive dynamic self-learning online monitoring method comprises the steps of: S110, establishing a neural network input sample set; S120, establishing a neural network output sample set; S130, acquiring a normalized sample set; S140, constructing a three-layer BP neural network model according to the normalized sample set; S150, dynamically adjusting network weigh threshold values by adopting a UKF algorithm according to the three-layer BP neural network model; S160, modeling massive data accumulated on a cloud server by utilizing a UKFNN algorithm to obtain neural network parameters; S170, realizing real-time prediction on real-time varying factors influencing the water quality in a constant water tank; S180, and realizing self-adaptive dynamic self-learning online monitoring of the water quality of the shared direct drinking water according to the real-time prediction of the water quality in the constant water tank. The self-adaptive dynamic self-learning online monitoring system for the water quality of the shared direct drinking water provided by the invention has the technical effects or advantages of changing the traditional water driving method, providing a rapid, healthy and convenient water drinking method for users, and satisfying requirements of fast-paced living standards and high-quality living standards of people.

Description

technical field [0001] The invention relates to the field of mobile Internet services, in particular to an adaptive dynamic self-learning online monitoring method and system for sharing direct drinking water quality. Background technique [0002] With the improvement of living standards and rapid economic development, the concept of high-quality and healthy life has been more and more favored by people. Especially for the health and convenience requirements of daily drinking water are getting higher and higher. The current drinking water methods on the market include direct drinking water and bottled mineral water. The quality, capacity and price of bottled mineral water are uneven. In the existing Under the economic system, the quality of bottled water cannot be guaranteed for safety and health. There are a large number of bottled mineral water "shoddy" in the market. Health poses a potential threat. At the same time, in the fast-paced urban life, the efficient use of tim...

Claims

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Application Information

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IPC IPC(8): G06N3/08G06N3/10G06K9/62G06Q50/06G01N33/18
CPCG06N3/084G06N3/10G06Q50/06G01N33/18G06F18/2135Y02A20/152
Inventor 李太福叶仪李家庆张堃段棠少王甜唐海红
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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