| Summary: | Assets are an essential part of an enterprise’s production and an indispensable economic entity for production and operation. The valuation of assets is one such area that has received significant attention in recent years. However, there exist numerous issues from various perspectives. These issues require us to study and explore them further. This article discusses the role of Internet of Things (IoT) and data envelopment methods to improve and develop asset evaluation. Based on the concept of asset evaluation, this paper designs an asset evaluation framework using the IoT. This framework can provide an all-weather and no-delay preparation basis for the asset appraisal work. Moreover, this paper uses data envelopment and particle swarm optimization (PSO) algorithm to clean and reclassify asset data. The objective of this algorithm is to solve the nonlinear function optimization problems associated with asset value evaluation. Finally, we verify the effectiveness and practicability of the model by comparing experimental simulation and manual evaluation.
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