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Crane structure vibration monitoring sensor arrangement method based on harmony genetic algorithm

A technology for monitoring sensors and structural vibrations, applied in genetic rules, gene models, random CAD, etc., can solve problems such as easy to fall into local optimum

Pending Publication Date: 2021-10-29
CHINA SPECIAL EQUIP INSPECTION & RES INST
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Problems solved by technology

[0006] The object of the present invention is to provide a crane structural vibration monitoring sensor layout method based on the harmonic genetic algorithm. The harmonic genetic algorithm of the present invention solves the problem that the crane girder structure sensor is easy to fall into local optimum during the layout process, and retains the harmonic The search algorithm is simple and fast, and the genetic algorithm has the advantages of strong global search ability, and can get better fitness value and better search stability

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  • Crane structure vibration monitoring sensor arrangement method based on harmony genetic algorithm
  • Crane structure vibration monitoring sensor arrangement method based on harmony genetic algorithm
  • Crane structure vibration monitoring sensor arrangement method based on harmony genetic algorithm

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Embodiment 2

[0084] A method for arranging sensors for vibration monitoring of a crane structure based on a harmonic genetic algorithm, the method includes the following steps:

[0085] (1) According to the geometric dimensions of the model to be analyzed, establish a finite element model, divide the grid, define the boundary conditions of the structure, and perform modal analysis;

[0086] (2) Obtain the modal results of each order of the structure, extract the model node number and the displacement Ux, Uy, and Uz of each node in each order mode in the x, y, and z directions, and construct the modal displacement matrix;

[0087] (3) Initialize parameters such as the complete harmony memory HM, memory value probability HMCR, fine-tuning probability PAR, selection probability SEL, crossover probability CRO, mutation probability VAR, iteration number Tmax and other parameters of the harmony genetic algorithm;

[0088] (4) A variable r1 is randomly generated, and according to the value of r1,...

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Abstract

The invention relates to a crane structure vibration monitoring sensor arrangement method based on a harmony genetic algorithm. The method comprises the following steps: (1) performing modal analysis; (2) obtaining modal results of each order of the structure; (3) initializing parameters; (4) randomly obtaining a group of harmony; (5) adjusting the harmony to obtain a group of new harmony or not adjusting the harmony; (6) replacing the worst harmony in the harmony library with the new harmony; (7) repeatedly executing step (4), step (5) and step (6) until the specified number of iterations T0 is reached; (8) selecting a proper selection operator; (9) determining that the two parental generations intersect with a certain probability to obtain new offspring individuals; (10) after variation, changing individual codes, and generating new individuals; and (11) repeating steps (8), (9) and (10) until the specified number of iterations Tmax is reached. The method can effectively solve the decision problem of sensor arrangement during crane structure vibration monitoring.

Description

technical field [0001] The invention relates to the technical field of crane structure health monitoring, in particular to a crane structure vibration monitoring sensor arrangement method based on harmony genetic algorithm. Background technique [0002] Cranes are an important infrastructure in the construction of the national economy, an important equipment in the construction of major national projects, and a pioneer in the implementation of major national strategic plans. Cranes play an important role in modern life and production. In order to strengthen the safety management of cranes, since 2011, Ding Keqin and others have developed a large-scale crane health monitoring system and carried out demonstration applications in Guangxi Beihai Port and Qingdao Port; Application in monitoring; Wang Quanwei and others studied the basic theory of the crane health monitoring system and carried out a demonstration application of the system. Arranging sensors in key parts of the s...

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Application Information

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IPC IPC(8): G06F30/27G06N3/12G06F111/06G06F111/08
CPCG06F30/27G06N3/126G06F2111/08G06F2111/06
Inventor 刘关四丁克勤唐方雄靳慧陈力
Owner CHINA SPECIAL EQUIP INSPECTION & RES INST
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