Building management smart entity creation and maintenance using time series data

A method for managing timeseries data relating to a plurality of objects associated with one or more buildings, the plurality of objects each representing a space, person, building system, and/or device connected to one or more electronic communications networks, comprising:

• receiving, by one or more processors, first raw data from a first object of the plurality of objects, the first raw data including one or more first data points generated by the first object;
• generating, by the one or more processors, first input timeseries according to the one or more data points;
• accessing, by the one or more processors, a database of interconnected smart entities, the smart entities comprising object entities representing each of the plurality of objects and data entities representing stored data, the smart entities being interconnected by relational objects indicating relationships between the object entities and the data entities;
• identifying, by the one or more processors, a first object entity representing the first object from a first identifier in the first input timeseries;
• identifying, by the one or more processors, a first data entity from a first relational object indicating a relationship between the first object entity and the first data entity;
• and
• storing, by the one or more processors, the first input timeseries in the first data entity,
• wherein the relational objects semantically defines the relationships between the object entities and the data entities, and
• wherein one or more of the object entities comprises a static attribute to identify the object entity, a dynamic attribute to store data associated with the object entity that changes over time, and a behavioral attribute that defines an expected response of the object entity in response to an input.

A building management cloud computing system for managing timeseries data relating to a plurality of objects associated with one or more buildings, the plurality of objects each representing a space, person, building subsystem, and/or device connected to one or more electronic communications networks, comprising:

• one or more processors communicably coupled to a database of interconnected smart entities, the smart entities comprising object entities representing each of the plurality of objects and data entities representing stored data, the smart entities being interconnected by relational objects indicating relationships between the object entities and the data entities;
• and
• one or more non-transitory computer-readable storage media communicably coupled to the one or more processors having instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to:
• receive first raw data from a first object of the plurality of objects, the first raw data including one or more first data points generated by the first object;
• generate first input timeseries according to the one or more data points;
• identify a first object entity representing the first object from a first identifier in the first input timeseries;
• identify a first data entity from a first relational object indicating a relationship between the first object entity and the first data entity;
• and
• store the first input timeseries in the first data entity,
• wherein the relational objects semantically defines the relationships between the object entities and the data entities,
• wherein one or more of the object entities comprises a static attribute to identify the object entity, a dynamic attribute to store data associated with the object entity that changes over time, and a behavioral attribute that defines an expected response of the object entity in response to an input,
• wherein the first input timeseries corresponds to the dynamic attribute of the first object entity,
• wherein at least one of the first data points in the first input timeseries is stored in the dynamic attribute of the first object entity, and
• wherein the input timeseries includes the first identifier, a timestamp indicating a generation time of the one or more first data points, and a value of the one or more first data points.