PATENT CLAIM ANALYSIS

Application Number: 16390422
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-12
Patent Classification: ["108", "020000"]

Abstract:
The invention provides a lifting desk control method including a motor drive unit, a current detection unit and an arithmetic unit. The control method comprises the steps of: detecting current a at the current time t 1  and current b at time t 2;  calculating the current change rate L=(b−a)/(t 2 −t 1 ); and comparing L with a set value, judging that an obstacle is encountered if the set value is exceeded, and issuing a stopping or retreating instruction to a motor by the motor drive unit. The scheme employed by the invention is to calculate the change rate of current, so judgment is made with higher accuracy and whether an obstacle is encountered is judged with high sensitivity.

Claim (Index 1):
A lifting desk control method, including a motor drive unit, a current detection unit and an arithmetic unit, the control method comprising the steps of:\n step 1: detecting current a at the current time t 1  and current b at time t 2  after the current time by the current detection unit at a set time interval during normal operation, wherein the time t 2  is later than the time t 1 ; step 2: calculating the current change value from t 2  to t 1  and the current change rate L=(b\u2212a)/t 2 \u2212t 1 ) by the arithmetic unit; and step 3: comparing the current change rate L with a set value, judging that an obstacle is encountered if the set value is exceeded, and issuing a stopping or retreating instruction to a motor by the motor drive unit.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 100.0
- Lexical Diversity: 1.88889
- Patent Class: 108.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13582893', '14296669', '15446292', '12922963', '15972194']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6555601996732048
- 35 USC 102 Novelty (BERT): 0.4848220350421849
- Combined Prediction Score: 0.6384863832101029
- Mean Citation Score: 104.13762800000002
- Max Citation Score: 111.63906
- Similarity Product: 74.87179420405269

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

Dataset: test