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Temperature sensor optimal arrangement method based on DNA genetic algorithm

A technology of temperature sensor and genetic algorithm, applied in the field of optimal arrangement of temperature sensors based on DNA genetic algorithm, can solve the problem of inaccurate optimal arrangement model of temperature sensors, improve learning accuracy and efficiency, improve temperature measurement accuracy and sensitivity to temperature changes degree of effect

Active Publication Date: 2022-01-14
中船凌久高科(武汉)有限公司
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Problems solved by technology

[0006] In view of the above problems, the object of the present invention is to provide a deep learning temperature sensor optimal layout method based on DNA genetic algorithm, aiming to solve the technical problem that the optimal layout model of the existing temperature sensor is not accurate enough

Method used

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  • Temperature sensor optimal arrangement method based on DNA genetic algorithm
  • Temperature sensor optimal arrangement method based on DNA genetic algorithm
  • Temperature sensor optimal arrangement method based on DNA genetic algorithm

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Embodiment Construction

[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0018] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0019] figure 1 It shows the flow of the DNA genetic algorithm-based deep learning temperature sensor optimization arrangement method provided by the embodiment of the present invention, and only shows the parts related to the embodiment of the present invention for convenience of description.

[0020] Such as figure 1 As shown, the DNA genetic algorithm-based deep learning temperature sensor optimization arrangement method provided in this embodiment includes the foll...

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Abstract

The invention is suitable for the technical field of artificial intelligence and intelligent optimization calculation, and provides a temperature sensor optimization arrangement method based on a DNA genetic algorithm, and the method comprises the steps: selecting point locations where temperature sensors may be arranged, and taking the energy consumption measurement precision and the energy consumption change sensitivity as optimization targets to establish a multi-target optimization function; establishing a multi-objective expected value model, carrying out random simulation solution, and combining the multi-objective optimization function to obtain a multi-objective optimization model; performing random simulation by using a DNA genetic algorithm, and calculating the multi-objective optimization model; acquiring target Pareto optimal solutions of the two optimization targets to acquire a set of optimal solutions by repeated calculation as an input set of a deep learning algorithm. A better solution is found through the deep learning algorithm.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and intelligent optimization calculation, and in particular relates to a method for optimal arrangement of temperature sensors based on DNA genetic algorithm. Background technique [0002] In the context of smart cities, energy consumption supervision and energy-saving optimization of large buildings are moving towards intelligentization. With the help of information technologies such as the Internet of Things, cloud computing, and big data, a more comprehensive and accurate data foundation can be provided, which has extremely important guiding significance for the development of building energy conservation in my country. Among them, sensor collection is the key to obtain a comprehensive and accurate data basis, which involves a core issue, how to optimize the arrangement of sensors with the smallest number of sensors since they have collected enough information. [0003] Sensor ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/12
CPCG06Q10/04G06N3/126
Inventor 刘鑫皮辉郭朝霞许雷范俊甫蔡烨彬程佳斌杨志祥谢倩
Owner 中船凌久高科(武汉)有限公司
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