PATENT CLAIM ANALYSIS

Application Number: 15963037
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["717", "168000"]

Abstract:
A method for generating a reprogramming file for reprogramming a target electronic control unit (ECU) in a target vehicle comprises: utilizing high-to-low level command conversions specific for the target ECU from the dictionary database to generate Unified Diagnostic Services (UDS) operation transactions from high-level language commands; converting high-level language diagnostic sequence commands into imperative language instructions; compiling the imperative language instructions into binary code corresponding to handling routines; segmenting a binary image of the target ECU into a plurality of data blocks; compiling the plurality of data blocks and respective the UDS operation transactions to provide a plurality of UDS stages, each stage of the plurality of stages comprises one corresponding data block or the plurality of data blocks; and assembling the plurality of UDS stages and the handling routines into the reprogramming file.

Claim (Index 15):
The method of  claim 12 , wherein:\n said handling routines comprises:\n a plurality of steps to create a re-flashing scenario for reprogramming said target ECU; \n steps to control said reprogramming; and \n steps to send said reprogramming data to said target ECU.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 91.0
- Lexical Diversity: 2.08571
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15420349', '14740546', '10845506', '14740219', '14740458']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3264515233450029
- 35 USC 102 Novelty (BERT): 0.6376045961863244
- Combined Prediction Score: 0.3575668306291351
- Mean Citation Score: 232.547088
- Max Citation Score: 559.8238
- Similarity Product: 524.6715757609843

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