PATENT CLAIM ANALYSIS

Application Number: 15895448
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["710", "305000"]

Abstract:
The present disclosure describes a control system network architecture for a fluidic control system such as a hydraulic or pneumatic control system. The architecture includes a plurality of clustered control-component nodes with each node being alternatively configurable to independently control the operation of multiple single-acting controlled endpoint devices or a double-acting controlled endpoint device. Each node includes control-components including a solenoid, one or more valve spools independently controllable by the solenoid, and a low-level controller operable to control the solenoid. The solenoid, valve spools, and low-level controller are clustered together and physically co-located as a unit. The nodes are arranged in a control block with each node being uniquely identifiable for data communication via a data communication network. The data communication network may include a Controller Area Network (CAN). Multiple control blocks may be equipped with communication modules and linked for data communication between the control blocks.

Claim (Index 17):
The control system network architecture of  claim 16 , wherein said data communication network comprises a Controller Area Network (CAN).

Metadata:
- Claim Count in Document: 62.0
- Percentile: 88.0
- Lexical Diversity: 1.92771
- Patent Class: 710.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15286135', '15572019', '14017950', '14741090', '12928744']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.671866872458871
- 35 USC 102 Novelty (BERT): 0.4913750340137592
- Combined Prediction Score: 0.6538176886143598
- Mean Citation Score: 146.197896
- Max Citation Score: 156.95723999999996
- Similarity Product: 93.67188896437166

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

Dataset: test