PATENT CLAIM ANALYSIS

Application Number: 16143243
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["707", "737000"]

Abstract:
One or more non-transitory computer readable media contain program instructions that, when executed, cause one or more processors to: receive first raw data including one or more first data points generated by a first object of a plurality of objects associated with one or more buildings; generate first input timeseries according to the one or more data points; access a database of interconnected smart entities, the smart entities including 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 smart entities; 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.

Claim (Index 20):
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:\n 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 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:\n 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; \n generate first input timeseries according to the one or more data points; \n identify a first object entity representing the first object from a first identifier in the first input timeseries; \n identify a first data entity from a first relational object indicating a relationship between the first object entity and the first data entity; and \n store the first input timeseries in the first data entity, \n 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.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 97.0
- Lexical Diversity: 2.55556
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16142472', '16142943', '16048052', '15644519', '15644581']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2412181482362578
- 35 USC 102 Novelty (BERT): 0.5360918010272024
- Combined Prediction Score: 0.2707055135153523
- Mean Citation Score: 322.606436
- Max Citation Score: 384.16473
- Similarity Product: 276.1069506863666

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test