PATENT CLAIM ANALYSIS

Application Number: 15999252
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-04
Patent Classification: ["370", "311000"]

Abstract:
Provided are a method for adjusting a radio frequency power, a ZigBee router, a sensor, and a system. The method includes: determining a position state of a ZigBee sensor; creating a radio frequency power adjustment command message corresponding to the ZigBee sensor according to the position state of the ZigBee sensor; sending, to the ZigBee sensor, the radio frequency power adjustment command message corresponding to the ZigBee sensor; and determining a target radio frequency power, suitable for the ZigBee sensor, in a communication region according to a radio frequency power adjustment response message received from the ZigBee sensor.

Claim (Index 17):
The router according to  claim 15 , wherein the operation of determining, by the determination module, the position state of the ZigBee sensor according to a fluctuation range of the plurality of first RSSI values and the range of a first preset threshold comprises:\n judging whether the fluctuation range of the plurality of first RSSI values is within the range of the first preset threshold; determining, when it is determined that the fluctuation range of the plurality of first RSSI values is within the range of the first preset threshold, the position state of the ZigBee sensor as a fixed state; and determining, when it is determined that the fluctuation range of the plurality of first RSSI values is not within the range of the first preset threshold, the position state of the ZigBee sensor as a moving state.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 96.0
- Lexical Diversity: 2.70732
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12401570', '15565654', '13265585', '11947342', '12784741']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5143120183940769
- 35 USC 102 Novelty (BERT): 0.5012523982076036
- Combined Prediction Score: 0.5130060563754296
- Mean Citation Score: 187.27127400000003
- Max Citation Score: 221.25002
- Similarity Product: 153.21394979130508

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