Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US-2022005291-A1 · Jan 6, 2022 · US
US12046090B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12046090-B2 |
| Application number | US-202117303464-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 28, 2021 |
| Priority date | May 30, 2020 |
| Publication date | Jul 23, 2024 |
| Grant date | Jul 23, 2024 |
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A materials handling vehicle technology monitor receives wirelessly, from a fleet of materials handling vehicles, electronic vehicle records. Each electronic vehicle record includes technology feature data recorded by a controller on an associated materials handling vehicle. Typically, the electronic vehicle record is generated in response to a corresponding technology feature on the materials handling vehicle being operated in a work environment. Moreover, each electronic vehicle record includes an operator identification of an operator of the materials handling vehicle at the time the technology feature data is recorded. The monitor also generates for each operator, an electronic measurement based upon a comparison of expected technology feature usage, e.g., a threshold, compared to the technology feature data in the received electronic vehicle records, which are associated with the corresponding operator. The process further comprises outputting to a dashboard, a graphical representation of the generated measurements.
Opening claim text (preview).
What is claimed is: 1. A process for implementing a materials handling vehicle technology monitor, comprising: receiving wirelessly, from a materials handling vehicle having a technology feature, electronic vehicle records, each electronic vehicle record comprising: technology feature data recorded by a controller on the materials handling vehicle in response to an operator opting to engage with the technology feature as the materials handling vehicle is being operated in a work environment; and an operator identification of the operator of the materials handling vehicle at the time the technology feature data is recorded; generating an electronic measurement based upon a comparison of an expected technology feature usage target to the technology feature data in the received electronic vehicle records; outputting to a display on the materials handling vehicle, a graphical representation of the generated measurements; and performing, where the technology feature data deviates from the expected technology feature usage target by a predetermined threshold, an automated action directed to correct the deviation, wherein the automated action comprises issuing an electronic command to modify at least one operating parameter of the technology feature. 2. The process of claim 1 , wherein: the expected technology feature usage target is defined by a target usage threshold designating a percentage of times that the technology feature was used; and the target usage threshold defines a percentage of times that a technology feature is used properly, as designated by a rules engine that defines parameters that evaluate the technology feature usage to a proper usage; further comprising: detecting that the operator logged at least one incorrect usage of the technology feature based upon the target usage threshold; and outputting, to the display on the materials handling vehicle where the operator that has logged at least one incorrect usage of the technology feature, a coaching message providing instructions on how to use the technology feature. 3. The process of claim 1 , wherein the technology feature comprises an auto-positioning system that requires the operator to engage a control on the materials handling vehicle, the control coupled to a control module that communicates across a vehicle network. 4. The process of claim 3 further comprising detecting an error in the auto-positioning system based upon the generated measurements. 5. The process of claim 3 further comprising detecting an error in performance of a vehicle component of the materials handling vehicle having the auto-positioning system based upon the generated measurements. 6. The process of claim 3 , wherein: technology feature data recorded by the controller on the materials handling vehicle comprises at least one of a distance that the materials handling vehicle travels under wire guidance, a distance that the materials handling vehicle travels under wire guidance using the auto-positioning system, or a distance that the materials handling vehicle travels under wire guidance in a manual mode not utilizing the auto-positioning system; and generating the electronic measurement comprises computing an auto-positioning system usage based upon the distance that the associated materials handling vehicle travels under wire guidance using the auto-positioning system relative to a distance traveled under wire guidance, and comparing the computed auto-positioning system usage to a target usage percentage that is pre-programmed. 7. The process of claim 1 further comprising: computing trends for the operator, materials handling vehicle, or both; and comparing the computed trends to expected trend parameters to identify operator trends that are deviating. 8. The process of claim 7 , wherein: computing trends for the operator, materials handling vehicle, or both further comprises computing trends for groups of operators based on operator shift, operator department, or a facility in which the operators work. 9. The process of claim 8 further comprising: outputting to the display on the materials handling vehicle, a message comprising: a positive reinforcement message if the operator's trend is deviating positively; and a negative reinforcement message if the operator's trend is deviating negatively. 10. The process of claim 8 further comprising: outputting to the display on the materials handling vehicle, a message comprising a training message instructing the operator in the correct operation of the materials handling vehicle where the operator's trend is deviating negatively. 11. The process of claim 1 , wherein: technology feature data recorded by the controller on the materials handling vehicle comprises at least one of: collecting activation information from a sensor control module; collecting speed information from a traction control module; or collecting guidance acquired information from a guidance control module; and the process further comprises computing at least one of a usage or a usage trend based upon pre-determined usage target settings. 12. The process of claim 1 further comprising: analyzing the generated measurements to detect whether there is a detectable equipment issue that is adversely affecting the comparison for at least one operator; and automatically generating an electronic signal that triggers a workflow to address the detected equipment issue by: wirelessly communicating a signal to a materials handling vehicle associated with the detected equipment issue to performance tune the technology feature; or wirelessly communicating a signal to a materials handling vehicle associated with the detected equipment issue to disable the technology feature. 13. The process of claim 1 , wherein: issuing the command comprises issuing the command to perform at least one of a: software upgrade; calibration; tuning; arrangement of set points; setting of an operating range; or adjustment of a frequency. 14. The process of claim 1 , wherein performing the automated action further comprises: issuing an electronic command to modify at least one operating parameter of the materials handling vehicle to which the technology feature is applied. 15. The process of claim 14 , wherein: issuing the command comprises issuing the command to perform at least one of: modify control of the materials handling vehicle; modify at least one set point of the materials handling vehicle; change a performance tuning of the materials handling vehicle. 16. The process of claim 1 , wherein performing the automated action further comprises: issuing an electronic command to provide an output to the operator comprising at least one of a coaching message or an instruction. 17. The process of claim 1 , wherein performing the automated action further comprises: detecting whether there is an interruption in the usage of the technology feature based upon the generated electronic measurement, and performing where an interruption is detected: identify a root cause of the interruption; and issue an electronic command to at least one network addressable device associated with the root cause to affect the detected interruption. 18. The process of claim 1 , wherein: establishing the expected technology feature usage target comprises establishing the expected technology feature usage target for the operator; and generating the electronic measurement comprises generating the electronic measurement for the operator. 19. A process for implement
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