PATENT CLAIM ANALYSIS

Application Number: 15889984
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-11
Patent Classification: ["340", "603000"]

Abstract:
The present disclosure discloses an intelligent monitoring method and apparatus. One specific implementation of the method comprises: determining, based on a plurality of parameter values of a warning associated parameter of a to-be-monitored apparatus within a preset period, a time dependent characteristic that parameter values of the warning associated parameter; and determining a target period, based on the parameter values of the warning associated parameter of the to-be-monitored apparatus at a current time and the time dependent characteristic of the parameter values of the warning associated parameter, and determining whether to generate a warning information based on a period interval encompassing the target period. The warning of possible faults in the operation of industrial equipment is implemented, without a manual monitoring of the operation of the industrial equipment is not required and a complete automated operation of the industrial equipment is implemented.

Claim (Index 7):
The method according to  claim 2 , wherein the to-be-monitored apparatus is a water pump, the warning associated parameter is a functional value of a function indicating an associated relation between temperature information and a rotation speed of the water pump, the time dependent characteristic of parameter values of the warning associated parameter is a waveform characteristic of the function indicating the associated relation between the temperature information and the rotation speed of the water pump; and\n the determining, based on a plurality of parameter values of the warning associated parameter of the to-be-monitored apparatus within a preset period, a time dependent characteristic of parameter values of the warning associated parameter, comprises: executing following operations to determine a function characteristic: acquiring the temperature information or the rotation speed of the water pump, the temperature information comprising: ambient temperature, fluid temperature or bearing temperature; taking the temperature information or the rotation speed of the water pump as a fitting data required for constructing a function indicating the associated relation between the temperature information and the rotation speed of the water pump; calculating, based on the temperature information or the rotation speed of the water pump, the functional value of the function indicating the associated relation between the temperature information and the rotation speed of the water pump; determining the waveform characteristic of the function indicating the associated relation between the temperature information and the rotation speed of the water pump; judging whether a sum of periods for executing the operations to determine the function characteristic is greater than a first preset period; if not, executing the operations to determine the function characteristic again after a second preset period; if yes, aggregating the waveform characteristic of the function indicating the associated relation between the temperature information and the rotation speed of the water pump determined in each of the operations to determine the functional characteristic, to obtain the waveform of the functional characteristic indicating the associated relation between the temperature information and the rotation speed of the water pump.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.53333
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15661096', '11721944', '14497209', '10719676', '11748126']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6469977471209399
- 35 USC 102 Novelty (BERT): 0.4837334132828837
- Combined Prediction Score: 0.6306713137371344
- Mean Citation Score: 135.991142
- Max Citation Score: 151.76782
- Similarity Product: 105.06085930223703

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

Dataset: test