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CN-122025157-A - Human body digital twin element model frame

CN122025157ACN 122025157 ACN122025157 ACN 122025157ACN-122025157-A

Abstract

The invention discloses a human body digital twin element model framework, which relates to the technical field of artificial intelligence and has the technical scheme that a human body digital twin element model is divided into 4 layers from top to bottom, namely a field element model, an object element model, a fusion element model and an interoperability element model, wherein an upper layer model guides, standardizes and constrains a lower layer model to construct, and realizes the layer-by-layer realization of the human body digital twin element model from a concept layer to a logic layer to a technical layer. The framework establishes standardized top-level description for complex human body digital twin modeling, standardizes the architecture, path and method of digital twin modeling of various human body organs and tissues, avoids repeated, disordered and low-efficiency modeling processes, builds a human body digital twin model with good standardability, reusability, interoperability and expansibility, and finally ensures consistency, harmony and comparability of digital twin bodies generated based on the model.

Inventors

  • ZHAO XIA
  • LI XIAOHUA

Assignees

  • 中国人民解放军南部战区总医院

Dates

Publication Date
20260512
Application Date
20260113

Claims (6)

  1. 1. A human body digital twin model framework is characterized in that a human body digital twin model is divided into 4 layers from top to bottom, namely a domain meta model, an object meta model, a fusion meta model and an interoperability meta model, an upper model guides, standardizes and constrains a lower model to construct, and the human body digital twin model is realized layer by layer from a concept layer to a logic layer and a technical layer.
  2. 2. The human body digital twin model frame according to claim 1, wherein the domain meta model is a reference meta model of the human body digital twin model frame, and is used for describing model concepts, terms, frames, architecture and relations of the human body digital twin model frame, constructing high-level frame elements of the human body digital twin model frame, and standardizing a high-level conceptual system of the human body twin model.
  3. 3. The human body digital twin model framework of claim 1, wherein the object element model describes the content, boundary, relationship and constraint of the human body digital twin 4 object models based on two dimensions of a physical model and a physiological model of a human body, and standardizes the architecture relationship of the digital twin model.
  4. 4. A body digital twin model framework as defined in claim 1 in which the fusion model describes interactions, associations, alignments and understandings of tissue digital twin, organ digital twin, system digital twin and whole body digital twin, normalizing the fusion of body digital twin model information.
  5. 5. A human digital twin model framework as defined in claim 1 in which the interoperability meta model describes interoperability of digital twin model systems, normalizing information interoperability between digital twin models.
  6. 6. A human body digital twin model frame according to claim 3, wherein the 4 object models are a tissue digital twin, an organ digital twin, a system digital twin and a whole body digital twin, respectively, wherein the whole body digital twin is composed of the system digital twin, the system digital twin is composed of the organ digital twin, the organ digital twin is composed of the tissue digital twin, and the tissue digital twin, the organ digital twin, the system digital twin and the whole body digital twin are constructed from local to whole body 4 digital twin object models.

Description

Human body digital twin element model frame Technical Field The invention relates to the technical field of artificial intelligence, in particular to a human body digital twin element model frame. Background Digital twinning refers to constructing a virtual entity (digital twins) in digital space (virtual space) that can map a representation of a physical entity. People abstract the characteristic attribute and process of the physical entity through data acquisition and analysis of the physical entity, establish a data model and construct a virtual entity which completely corresponds to the physical entity in a virtual space. The physical entity and the digital twin body have bidirectional and dynamic real-time association, are mutually connected in the whole life cycle of the entity, and people can simulate, verify, predict, see through holes, execute and control the physical system through the digital twin body. For a long time, medical workers are exploring new techniques and new methods for predicting, diagnosing, treating and recovering human diseases to realize earlier, faster, more accurate and more personalized disease prediction, diagnosis and cure. The human body digital twin with high individuation provides an optimal technology without substitution for realizing the aim of the medical field. Digital twinning is deeply fused with the health medical field, and systematic innovation and subversion transformation of the health medical field are promoted. The key technology of digital twinning is digital modeling, and because human body digital twinning relates to the complexity, diversity and uncertainty of physiological structures, biological mechanisms and psychological factors of human bodies, the human body digital twinning modeling has high complexity compared with physical entity modeling such as industrial manufacturing, constructional engineering and the like. The digital twin modeling of human body is that if standard meta model specifications and constraints are lacking, even the same human body tissue and organ, the established digital twin model and the final digital twin body are different, which will seriously obstruct the application and development of digital twin. At present, the research on human body digital twin modeling in the medical field is obviously lagged behind the fields of industry, building, city management and the like. Disclosure of Invention The invention aims to provide a human body digital twin model framework, which establishes a standardized top-level description (meta model framework) for complex human body digital twin modeling, standardizes the framework, path and method of digital twin modeling of various human body organs and tissues, avoids repeated, disordered and low-efficiency modeling processes, builds a human body digital twin model with good standardization, reusability, interoperability and expansibility, and finally ensures the consistency, coordination and comparability of digital twin bodies generated based on the model. The technical aim of the invention is realized by the following technical scheme that the human body digital twin element model frame is divided into 4 layers from top to bottom, namely a domain element model, an object element model, a fusion element model and an interoperability element model respectively, wherein the upper layer model guides, standardizes and constrains the construction of the lower layer model, and realizes the layer-by-layer realization of the human body digital twin element model from a concept layer to a logic layer to a technical layer. The invention is further arranged that the field meta model is a reference meta model of the human body digital twin meta model frame and is used for describing model concepts, terms, frames, architectures and relations of the human body digital twin meta model frame, constructing high-level frame elements of the human body digital twin meta model frame and standardizing a high-level concept system of the human body twin model. The object meta model is further arranged to describe the contents, boundaries, relations and constraints of the 4 object models of the human digital twin based on two dimensions of the physical model and the physiological model of the human body, and to standardize the architecture relation of the digital twin model. The invention further provides that the fusion element model describes interaction, association, alignment and understanding of the tissue digital twin, organ digital twin, system digital twin and whole-body digital twin, and standardizes information fusion of the human body digital twin model. The invention is further arranged that the interoperability meta-model describes interoperability of the digital twin model system, normalizing information interoperability between digital twin models. The invention further provides that the 4 object models are respectively a tissue digital twin, an organ digital twin, a system digital twin and a