Determining a surface characteristic of a roadway using an imaging device
US-2021247182-A1 · Aug 12, 2021 · US
US10234368B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10234368-B2 |
| Application number | US-201615293048-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 13, 2016 |
| Priority date | Oct 13, 2016 |
| Publication date | Mar 19, 2019 |
| Grant date | Mar 19, 2019 |
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A load verification system and method may be used to assess the loading of material from a loading work vehicle having a load bucket to a haulage work vehicle having a load bin. The system includes at least one volume sensor coupled to the loading work vehicle that observes a volume of material in at least one of the load bucket and the load bin and generates a corresponding volume data signal. The system also includes a first controller onboard the loading work vehicle and a second controller onboard the haulage work vehicle. At least one of the first and second controllers: receives the volume data signal from the at least one volume sensor; receives a unique haulage work vehicle identifier; associates volume data of the corresponding volume data signal with the unique haulage work vehicle identifier; and stores in memory the associated volume data and haulage work vehicle identifier.
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What is claimed is: 1. A load evaluation system for assessing the loading of material from a loading work vehicle having a load bucket to a haulage work vehicle having a load bin, the load evaluation system comprising: at least one volume sensor including an imaging device or a detection and ranging device coupled to the loading work vehicle and configured to sense a volume of material in at least one of the load bucket and the load bin and generate a corresponding volume data signal; and a first controller onboard the loading work vehicle and a second controller onboard the haulage work vehicle, wherein at least one of the first and second controllers is configured to: receive the volume data signal from the at least one volume sensor; receive a unique haulage work vehicle identifier; associate volume data of the corresponding volume data signal with the unique haulage work vehicle identifier; and store in memory the associated volume data and haulage work vehicle identifier. 2. The load evaluation system of claim 1 , wherein the first controller receives the volume data signal from the volume sensor and transmits the volume data signal to the second controller, and the second controller receives the unique haulage work vehicle identifier from memory and associates the volume data of the corresponding volume data signal with the unique haulage work vehicle identifier. 3. The load evaluation system of claim 2 , wherein the second controller transmits the associated volume data and haulage work vehicle identifier to a remote processing system remote from the loading work vehicle and the haulage work vehicle. 4. The load evaluation system of claim 1 , wherein the volume sensor generates a plurality of volume data signals having respective volume data for each of a plurality of bucket load cycles; and wherein at least one of the first and second controllers receives the plurality of volume data signals and for each bucket load cycle: associates the volume data of the corresponding volume data signal with the haulage work vehicle identifier; and stores in memory the volume data of the corresponding volume data signal for the associated haulage work vehicle. 5. The load evaluation system of claim 4 , wherein at least one of the first and second controllers computes an incremental change in volume in the load bin based on a difference between volume data values stored in memory for consecutive bucket load cycles. 6. The load evaluation system of claim 4 , further comprising: at least one mass sensor including a pressure sensor or an accelerometer coupled to the haulage work vehicle and configured to sense a mass of material in the load bin and generate a corresponding mass data signal. 7. The load evaluation system of claim 6 , wherein at least one of the second controller and a remote processing system remote from the loading work vehicle and the haulage work vehicle receives the mass data signal; and wherein at least one of the second controller and the remote processing system compute a density based on mass data corresponding to the mass data signal and the volume data corresponding to the volume data signals. 8. The load evaluation system of claim 7 , wherein the mass sensor generates a plurality of mass data signals having mass data for each of the plurality of bucket load cycles; and wherein at least one of the second controller and the remote processing system receives the plurality of mass data signals from the mass sensor and for each bucket load cycle: associates the mass data of the corresponding mass data signal with the stored volume data for the corresponding bucket load cycle; and stores in memory the mass data of the corresponding mass data signal. 9. The load evaluation system of claim 8 , wherein at least one of the second controller and the remote processing system computes a density based on the associated mass data and volume data values for each bucket load cycle; wherein at least one of the second controller and the remote processing system stores the computed density value for each corresponding bucket load cycle; and wherein at least one of the second controller and the remote processing system computes an incremental change in density in the load bin based on a difference between density values stored in memory for consecutive bucket load cycles. 10. The load evaluation system of claim 9 , wherein at least one of the second controller and the remote processing system compute a total load density value based on the stored density values. 11. The load evaluation system of claim 1 , wherein at least one of the first controller, the second controller and a remote processing system remote from the loading work vehicle and the haulage work vehicle receives the volume data signal from the volume sensor and a mass data signal from a mass sensor coupled to the haulage work vehicle and computes a density based on volume data corresponding to the volume data signal and mass data corresponding to the mass data signal. 12. The load evaluation system of claim 1 , wherein the loading work vehicle includes a boom and an arm coupled to the load bucket, and the volume sensor is coupled to the arm to observe the volume of material in the bucket and generate image data based thereon. 13. The load evaluation system of claim 1 , wherein the loading work vehicle includes a boom and an arm coupled to the load bucket, and the volume sensor is coupled to the arm to observe the volume of material in the load bin and generate image data based thereon. 14. A load evaluation method for assessing the loading of material from a loading work vehicle having a load bucket to a haulage work vehicle having a load bin, the method comprising: sensing a volume of material in at least one of the load bucket and the load bin with at least one volume sensor including an imaging device or a detection and ranging device and generating a corresponding volume data signal; receiving, by a first controller onboard the loading work vehicle, the volume data signal from the at least one volume sensor; transmitting, by the first controller, volume data corresponding to the volume data signal to a second controller onboard the haulage work vehicle; associating, by the second controller, the volume data of the corresponding volume data signal with a unique haulage work vehicle identifier; and storing in memory the associated volume data and haulage work vehicle identifier. 15. The method of claim 14 , further comprising: transmitting, by the second controller, the associated volume data and haulage work vehicle identifier to a remote processing system remote from the loading work vehicle and the haulage work vehicle. 16. The method of claim 14 , further comprising: sensing a mass of material in the load bin with at least one mass sensor including a pressure sensor or an accelerometer coupled to the haulage work vehicle and generating a corresponding mass data signal; and computing, by the second controller, a density based on mass data corresponding to the mass data signal and the volume data corresponding to the volume data signal. 17. The method of claim 16 , further comprising: determining an overload condition of the haulage work vehicle based on the volume data or the mass data. 18. The method of claim 14 , further comprising: generating a plurality of volume data signals having respective volume data for each of a plurality of bucket load cycles by the volume sensor; receiving, by the second controller, the plurality of volume data signals and for e
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