# US 2021/0241190 A1 · System and Method for Tracking, Recording and Monitoring Flow of Work Processes of Manufacturing, Assembly and Fabrication > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0241190 A1 - Document ID: US20210241190A1 - Status: Published application - Kind: A1 - Application number: 17/143,867 - Filed: 2021-01-07 - Published: 2021-08-05 - Earliest claimed: 2020-01-21 - Inventors: John Bradford Janik - Web page: https://patentgrep.com/patent/US20210241190A1 ## CPC - G06Q 10/0633: Workflow analysis - G06N 20/00: Machine learning - Y02P 90/82: Energy audits or management systems therefor - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS ## Abstract A system and method for augmenting and automating an ERP (enterprise resource planning) system with artificial intelligence to monitor the progress with a non-intrusive technique in human assembly. ## Claims ### Claim 1 A system for monitoring a work process for an assembly, the system comprising: a processor in data communication with a computer readable medium, wherein the computer readable medium contains a computer program stored thereon; a workstation monitored by the processor; a plurality of sensors at the workstation for monitoring signatures of a process flow of an assembly, wherein the computer program determines a progress of the process workflow for the from the plurality of signatures. ### Claim 2 (depends on 1) The system of claim 1, the system further comprising: an energy monitoring device for determining an energy profile data signature for an equipment indicating the progress of the workflow at the workstation, wherein the energy monitoring device is a power meter for determining a power signature. ### Claim 3 (depends on 1) The system of claim 1, the system further comprising: an acoustic monitoring device for determining an acoustic profile data signature indicating the progress of the workflow at the workstation, wherein the acoustic monitoring device is a microphone. ### Claim 4 (depends on 1) The system of claim 1, the system further comprising: a monitoring device for determining when a human worker is present at the workstation, wherein the thermal monitoring device is an infrared camera. ### Claim 5 (depends on 1) The system of claim 1, the system further comprising: a weight monitoring device for determining a weight of assembly components accumulated at the workstation, wherein the weight monitoring device is a scale. ### Claim 6 (depends on 1) The system of claim 1, wherein the computer program further comprises an artificial intelligent program that learns the progress of the workflow from the signatures. ### Claim 7 The system of claim, wherein the computer program reports the progress of the workflow to an enterprise resource planning system. ### Claim 8 (depends on 1) The system of claim 1, wherein the processor reads the energy profile data signature, the acoustic profile data signature, the human work present to determine the progress of the process workflow. ### Claim 9 (depends on 8) The system of claim 8, wherein artificial intelligence in the process learns process steps from the energy profile data signature, the acoustic profile data signature, the human work present. ### Claim 10 (depends on 8) The system of claim 8, wherein time signatures are gathered for all signatures and used by the processor to determine when a process step is started, when a process step is completed and what point within a process step is currently being processed. ### Claim 11 A method for monitoring a work process for an assembly, the method comprising: reading on a processor, a plurality of sensors at workstation for monitoring signatures of a process flow of an assembly; and determining a progress of the process workflow for the from the plurality of signatures. ### Claim 12 (depends on 11) The method of claim 11, the method further comprising: determining an energy profile data signature for an equipment indicating the progress of the workflow at the workstation, wherein the energy monitoring device is a power meter for determining a power signature. ### Claim 13 (depends on 11) The method of claim 11, the method further comprising: determining an acoustic profile data signature indicating the progress of the workflow at the workstation, wherein the acoustic monitoring device is a microphone. ### Claim 14 (depends on 11) The method of claim 11, the method further comprising: determining when a human worker is present at the workstation, wherein the thermal monitoring device is an infrared camera. ### Claim 15 (depends on 11) The method of claim 11, the method further comprising: monitoring device for determining a weight of assembly components accumulated at the workstation, wherein the weight monitoring device is a scale. ### Claim 16 (depends on 11) The method of claim 11, further comprising: learning the progress of the workflow from the signatures using an artificial intelligent program. ### Claim 17 The method of claim, further comprising: reporting the progress of the workflow to an enterprise resource planning system. ### Claim 18 (depends on 11) The method of claim 11, further comprising: reading the energy profile data signature, the acoustic profile data signature, the human work present to determine the progress of the process workflow. ### Claim 19 (depends on 18) The method of claim 18, further comprising: learning process steps from the energy profile data signature, the acoustic profile data signature, the human work present using the artificial intelligence. ### Claim 20 (depends on 18) The method of claim 18, further comprising: gathering all signatures to determine when a process step is started, when a process step is completed and at what point within a process step is currently being processed.