comprehensive evaluation model of industrial heritage urban landscape ecology, researches each index affecting landscape ecology, and determines the weight of each influence index by combining qualitative and quantitative methods. The maximum influence factors of the four criteria layers of emotion, culture, material and ecology are pleasure, obvious cultural symbols, appropriate scale and microclimate regulation, and the corresponding values are 0.313, 0.404, 0.315 and 0.495, respectively. Compared with that before the introduction of the self-organised neural network fusion K-Means clustering algorithm, the ecological evaluation scores of the urban landscape of the industrial heritage are much closer to the real situation, and the overall error is much higher. The ecological evaluation model of industrial heritage buildings is closer to the real situation, and the overall error fluctuation is 0.012-0.020. The precision-recall curve of the comprehensive evaluation model of industrial heritage buildings is more advantageous than that of other comprehensive evaluation models. The results of the study provide a scientific reference basis for the design of the external landscape environment of industrial heritage buildings, and provide a strong scientific support for the ecological symbiosis between old industrial buildings and the environment under the concept of sustainability.