PATENT CLAIM ANALYSIS

Application Number: 15959592
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["709", "223000"]

Abstract:
Techniques are provided for implementing data management policies for various components of an Internet of Things (IoT) system. An exemplary method performed by an IoT component comprises: obtaining sensor data; obtaining a data management policy that specifies a data transmission policy, a data retention policy, a data retirement policy and/or a data processing policy for a processing of the sensor data by a plurality of IoT components; and processing the sensor data based on the obtained data management policy. Data policy operators are optionally provided to (i) adjust a resolution of the sensor data; (ii) aggregate the sensor data; and/or (iii) apply a learning algorithm to the sensor data, based on the data management policy.

Claim (Index 1):
A method performed by a first Internet of Things component, comprising:\n obtaining sensor data; obtaining, by the first Internet of Things component, a data management policy that specifies one or more of a data transmission policy, a data retention policy, a data retirement policy and a data processing policy for a processing of the sensor data by a plurality of Internet of Things components comprising the first Internet of Things component and one or more additional Internet of Things components; and processing, by the first Internet of Things component, the sensor data based on the obtained data management policy, wherein the plurality of Internet of Things components comprises at least one edge device that aggregates at least a portion of the sensor data from a plurality of sensor devices, and at least one backend storage device.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.27119
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15175630', '15086525', '14863282', '15814133', '15839517']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2435194564432865
- 35 USC 102 Novelty (BERT): 0.478484721032677
- Combined Prediction Score: 0.2670159829022255
- Mean Citation Score: 140.46380200000002
- Max Citation Score: 144.347
- Similarity Product: 92.8817322089672

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

Dataset: test