Digital design tools for building construction

A method comprising:

• by a system of one or more processors,
• obtaining an electronic model, the electronic model comprising a plurality of objects, the objects representing physical objects to be constructed, and the electronic model being of a structure or infrastructure project;
• determining dependencies between the objects, wherein the determined dependencies indicate, at least, that a first object is to be constructed prior to a second object;
• generating a plurality of construction orderings based on the determined dependencies, each construction ordering indicating a unique order in which the objects are to be constructed, wherein a subset of the generated construction orderings are retained based on the subset causing the objects to be constructed according to a particular geometric pattern;
• and
• causing presentation, via a user device, of user interface information describing the subset of the construction orderings, wherein the system is configured to trigger updates to the electronic model in response to received material changes associated with the electronic model.

A method comprising:

• by a system of one or more processors,
• obtaining an electronic model, the electronic model comprising a plurality of objects, the objects representing physical objects to be constructed, and the electronic model being of a structure or infrastructure project;
• determining dependencies between the objects, wherein the determined dependencies indicate, at least, that a first object is to be constructed prior to a second object;
• generating one or more construction orderings based on the determined dependencies, each construction ordering indicating a unique order in which the objects are to be constructed;
• and
• causing presentation, via a user device, of user interface information describing the construction orderings, wherein the system is configured to trigger updates to the electronic model in response to received material changes associated with the electronic model, and wherein the method further comprises:
• receiving information indicating a material change to a design associated with the electronic model;
• determining at least one updated construction ordering;
• and
• causing presentation of information associated with the updated construction ordering.

A method comprising:

• by a system of one or more processors,
• obtaining an electronic model, the electronic model comprising a plurality of objects, the objects representing physical objects to be constructed, and the electronic model being of a structure or infrastructure project;
• determining dependencies between the objects, wherein the determined dependencies indicate, at least, that a first object is to be constructed prior to a second object;
• generating one or more construction orderings based on the determined dependencies, each construction ordering indicating a unique order in which the objects are to be constructed;
• and
• causing presentation, via a user device, of user interface information describing the construction orderings, wherein the system is configured to trigger updates to the electronic model in response to received material changes associated with the electronic model, wherein the method further comprises:
• determining one or more anomalies within the electronic model, wherein each anomaly relates to an object and wherein determining the anomalies is based on application of one or more machine learning models and adjacency relationships between objects in three-dimensional space;
• and
• causing presentation of information describing the anomalies.

Non-transitory computer storage media storing instructions that when executed by a system of one or more processors, cause the processors to perform operations, the operations enabling improvements in determining anomalies in electronic models, the improvements being based on insights extracted from machine learning models trained on disparate electronic models of structures and/or infrastructure projects, and the method comprising:

• obtaining an electronic model, the electronic model comprising a plurality of objects, and the objects representing physical objects to be constructed, and the electronic model being of a structure or infrastructure project;
• determining one or more anomalies within the electronic model, wherein each anomaly relates to an object wherein determining the anomalies is based on application of one or more machine learning models and adjacency relationships between objects in three-dimensional space, and wherein the machine learning models were trained using data from different types of structures and/or infrastructure projects;
• and
• causing presentation, via a user device, of user interface information describing anomalous objects included in the electronic model, the anomalous objects being determined via application of one or more machine learning models.