2results about How to "Realize systematic management" patented technology

The invention belongs to the technical field of constructional engineering, and particularly relates to a Revit-based fabricated component family library construction and use method, which comprises the following steps: dividing a component family library into twelve system categories of three major majors of building, structure and electromechanical, standardizing naming and coding principles of corresponding component families, and gathering the component families in a table form; parameter elements and parameter categories of the component families are specified, the same parameters of the same component families are controlled by'type parameters', individual differences of the component families are controlled by'instance parameters', and the component families of different system categories are associated with one another by'global parameters', so that linkage between models is constructed; and performing encryption processing on the component family storage to protect the intangible digital assets. According to the invention, informatization, standardization and systematization management of components and parts are realized, the whole industry chain service of the building is supported, basic support is provided for application of the BIM model, and the current situation barrier of the industry is broken.

The application relates to a label system-based Internet of Things monitoring model construction method and belongs to the field of natural language processing. The method comprises the following steps: establishing an initial label system, manually labeling a structured data set based on the initial label system, and constructing a first training sample set; constructing a Bert model, training the Bert model based on the first training sample set to obtain a trained Bert model; inputting business data into the trained Bert model to obtain corresponding characteristic values, and obtaining a perfect label system based on the characteristic values; constructing an Internet of Things monitoring model, using the Internet of Things monitoring model to predict business data to obtain predicted business data; using the perfect label system to label the predicted business data to construct a second training sample set; and training the Internet of Things monitoring model based on the second training sample set to obtain a trained Internet of Things monitoring model. The method can automatically generate feature labels required by business, label business data by using a perfect label system, and improve the recognition effect and training efficiency of the model.