Constraine the optimization method of the structural health monitoring sensor cloth for universal solution universal solution

Abstract

The present invention is the field of structural detection and health monitoring technology. A structured health monitoring sensor cloth optimization method is discussed to restrict the gradient -free universal solution.The target function of the sensor optimization is optimized, the extended target function optimizes the vector translation interface, and uses the constraint without gradient universal solution to obtain the optimization combination of the sensor setting.The present invention can effectively solve the problem of optimization of large structural sensors optimizing the combination of combination. The present invention can only translate the optimization vector encoding vector by extending optimization vectors on the target function without changing the code of the optimization algorithm itself.All constraints and gradient -free optimization algorithms, including artificial intelligence and classic gradient -free optimization algorithms, are used to solve the problem of combined optimization of the optimization configuration of sensors.

Description

technical field [0001] The invention belongs to the technical field of structural detection and health monitoring, and in particular relates to a method and system for optimizing the layout of structural health monitoring sensors with a constrained gradient-free general solution. Background technique [0002] At present, large-scale civil engineering structures will be affected by various static and dynamic loads, environmental erosion and other factors during their long service period. In recent years, frequent structural safety accidents have seriously threatened the safety of national property and people's lives and properties. Therefore, a structural health monitoring system should be effectively constructed, and on this basis, structural inspection and health status assessment should be carried out to ensure structural safety and health. significant. [0003] Structural health monitoring system usually consists of data acquisition system, transmission system, analysis ...

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Problems solved by technology

Nevertheless, in the process of implementing specific algorithms for solving combinatorial optimization problems, it often takes a considerable amount of work to determine the coding scheme and design genetic operators (crossover, mutation, etc.) (such as the paper DOI: 10.3969 / j.issn .1000-3835.2008.03.021, DOI: 10.1177 / 1475921719877579)

However, it should be pointed out that the directional design and modification process of the above optimization algorithms can only be aimed at the specific algorithm under study, and for different algorithms, it is necessary to study the corresponding source code modification strategies in detail, but this process usually requires in-depth interpretation of various optimization algorithms At the same time, understand and master the theoretical background of various algorithms and the corresponding program implementation in detail. This process is heavy in workload, extremely cumbersome and error-prone

On the other hand, in the face of the effective solution requirements of high-dimensional combinatorial optimization problems for the optimal layout of large-scale structural sensors, it is necessary to ensure the efficiency and reliability of the optimization algorithm used. However, most of the optimization algorithms that are both efficient and reliable are commercial It is impossible to obtain the source code of the packaged program or other mature closed source program, which makes the strategy of trying to design and modify the source code of the algorithm to meet the mandatory constraints of sensor layout combination optimization unfeasible, and cannot be used effectively and fully developed. Mature commercial closed-source code has a strong advantage in solving large-scale and high-dimensional combinatorial optimization problems of large-scale engineering structures

[0007] Through the above analysis, the existing problems and defects of the existing technology are: the existing structural health monitoring sensor layout optimization technology that relies on directional modification or redesign of the optimization algorithm has poor adaptability and versatility, heavy workload, extremely cumbersome and error-prone; at the same time This directional modification code strategy is not conducive to the real scene application of large-scale engineering structure health monitoring and ultra-large-scale combination decision-making problems because of the inability to obtain efficient and reliable program codes

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