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Water consumption prediction method, system and equipment based on time sequence

A technology of time series and prediction method, applied in the field of single-objective optimization research, can solve problems such as inaccurate water consumption prediction, and achieve the effects of reducing water hammer, maintaining liquid level balance, and accurately predicting water consumption.

Pending Publication Date: 2022-01-18
XIAN UNIV OF TECH
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Problems solved by technology

[0003] In order to solve the problems existing in the prior art, the present invention provides a water consumption prediction method, system and equipment based on time series to solve the problem of inaccurate water consumption prediction

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  • Water consumption prediction method, system and equipment based on time sequence
  • Water consumption prediction method, system and equipment based on time sequence
  • Water consumption prediction method, system and equipment based on time sequence

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0063] The present invention provides a kind of water consumption prediction method based on time series, selects the optimal solution of model parameter by a kind of new brain storm optimization method (MLBSO), this algorithm introduces the Nelder-Mead method that the people such as Caponio proposes to select In the strategy, the old solution is fully developed, the probability of falling into a local optimum is reduced, and the diversity is increased. When the individual in the group tends to stagnate, MLBSO uses the learning strategy based on opposition to re-initialize the individual, which solves the problem of large randomness caused by the random initialization strategy. In addition, a new optimal solution archiving mechanism is proposed, which enables individuals to learn from the optimal solution with a certain probability, and at the ...

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Abstract

The invention discloses a water consumption prediction method, system and equipment based on a time sequence. The method comprises the steps: obtaining historical water flow, and building an actual data set; processing the actual data set by adopting a pre-optimized least square support vector machine to obtain a predicted water flow time sequence; and matching the predicted water flow time sequence into a set time period to obtain the corresponding predicted water consumption. The method can be used for predicting the water consumption more accurately, enables a water plant to maintain the balance of the liquid level of a reservoir, and can effectively reduce the occurrence of a water hammer phenomenon.

Description

technical field [0001] The invention belongs to the technical field of single-objective optimization research in swarm intelligence evolution calculation, and specifically belongs to a water consumption forecasting method, system and equipment based on time series. Background technique [0002] There are many methods for water consumption in water plants, such as support vector machines, long-term and short-term memory neural networks, etc., but the parameters of these models are difficult to determine based on historical experience, or improper selection of parameters will cause large deviations between water consumption predictions and actual The problem is that the water consumption cannot be accurately predicted, which may make it difficult to maintain the dynamic balance of the water level in the reservoir, resulting in a shortage or excess of water supply, and serious water hammer may also occur. Therefore, correctly predicting the water consumption can enable the wate...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N20/10G06N3/12
CPCG06Q10/04G06Q50/06G06N20/10G06N3/126
Inventor 李薇罗浩男苑俊清雷洲樊瑶驰
Owner XIAN UNIV OF TECH