Method and system for collecting machine operation data using a mobile device
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G07C-005/00
G06Q-050/02
B60P-001/04
G01P-015/02
G07C-005/02
G06Q-050/08
G06Q-010/08
G01C-019/02
G01C-015/02
출원번호
US-0162660
(2016-05-24)
등록번호
US-10134204
(2018-11-20)
발명자
/ 주소
Katter, Jr., James G.
출원인 / 주소
Caterpillar Inc.
대리인 / 주소
Harrity & Harrity LLP
인용정보
피인용 횟수 :
0인용 특허 :
8
초록▼
A method for collecting machine operation data of a machine is disclosed. Initially, first and second sensor data is determined by a mobile sensor of a mobile device processor located on or within a machine. A first dynamic characteristic is determined based on at least one of the first and second s
A method for collecting machine operation data of a machine is disclosed. Initially, first and second sensor data is determined by a mobile sensor of a mobile device processor located on or within a machine. A first dynamic characteristic is determined based on at least one of the first and second sensor data. Next, the mobile device connects wirelessly to an external computing platform and the first dynamic characteristic is transmitted from the mobile device to the external computing platform. Third and fourth sensor data are determined by the mobile sensor. A second dynamic characteristic is determined based on at least one of the third and fourth sensor data. The second dynamic characteristic is transmitted to the external computing platform. A first dynamic change is determined based on the first and second dynamic characteristics. A first operation performed by the machine is determined based on the first dynamic change.
대표청구항▼
1. A method comprising: determining, by a mobile sensor included in a mobile device, first sensor data and second sensor data while the mobile device is located on or within a machine;determining, by the mobile device and based on at least one of the first sensor data or the second sensor data, a fi
1. A method comprising: determining, by a mobile sensor included in a mobile device, first sensor data and second sensor data while the mobile device is located on or within a machine;determining, by the mobile device and based on at least one of the first sensor data or the second sensor data, a first dynamic characteristic of the machine;connecting wirelessly the mobile device to an external computing platform;transmitting, by the mobile device, information identifying the first dynamic characteristic to the external computing platform;determining, by the mobile sensor included in the mobile device, third sensor data and fourth sensor data while the mobile device is located on or within the machine;determining, by the mobile device and based on at least one of the third sensor data or the fourth sensor data, a second dynamic characteristic of the machine;transmitting, by the mobile device, information identifying the second dynamic characteristic to the external computing platform;determining, based on the first dynamic characteristic and the second dynamic characteristic, a dynamic change of the machine, the dynamic change being a profile of vibrational frequencies of the machine over time; anddetermining, based on the profile of vibrational frequencies, an operation performed by the machine. 2. The method of claim 1, wherein the mobile sensor is at least one of an accelerometer, a gyroscopic sensor, a magnetometer, a Global Positioning System (GPS), an Assisted GPS (A-GPS), a Global Navigation Satellite System (GNSS), or a WiFi based positioning system of the mobile device. 3. The method of claim 1, wherein the first sensor data includes data regarding at least one of an acceleration, an angular velocity, an azimuth, a roll, a pitch, a latitude, a longitude, an altitude, a horizontal accuracy of the mobile device, or a magnetic field strength around the mobile device. 4. The method of claim 1, wherein the first dynamic characteristic is at least one of a speed, an acceleration, or a direction of the mobile device. 5. The method of claim 1, further comprising: transmitting machine data, regarding the operation performed by the machine, from the mobile device to the external computing platform. 6. The method of claim 1, wherein determining the operation performed by the machine comprises: determining, by the mobile device and based on the profile of vibrational frequencies, the operation performed by the machine. 7. The method of claim 1, wherein determining, the operation performed by the machine comprises: determining, by the external computing platform and based on the profile of vibrational frequencies, the operation performed by the machine. 8. The method of claim 1, further comprising: storing the first dynamic characteristic and the second dynamic characteristic in a memory of the mobile device. 9. The method of claim 1, further comprising: receiving, by the mobile device, information regarding a machine type of the machine. 10. The method of claim 9, wherein determining the operation performed by the machine comprises: determining, based on the machine type of the machine and the profile of vibrational frequencies, the operation performed by the machine. 11. The method of claim 9, wherein receiving the information regarding the machine type of the machine comprises: receiving an operator input at the mobile device, the operator input indicating the information regarding the machine type of the machine. 12. The method of claim 1, further comprising: providing, by the mobile device, instructions to change the operation performed by the machine to a different operation of the machine based on the profile of vibrational frequencies. 13. The method of claim 1, further comprising: scanning an identifier on the machine to determine a type of the machine, wherein determining the operation performed by the machine comprises: determining the operation performed by the machine based on the profile of vibrational frequencies and the type of the machine. 14. The method of claim 1, further comprising: identifying instructions to avoid a pothole or an obstruction indicated by the profile of vibrational frequencies; andproviding, for display or to the machine, the instructions. 15. A method comprising: connecting, by a computing system, to a mobile device located on or within a machine;receiving, by the computing system and from the mobile device, information identifying a first dynamic characteristic of the machine, the first dynamic characteristic being determined based on at least one of first sensor data or second sensor data from a mobile sensor of the mobile device;receiving, by the computing system and from the mobile device, information identifying a second dynamic characteristic of the machine, the second dynamic characteristic being determined based on at least one of third sensor data or fourth sensor data from the mobile sensor of the mobile device;determining, by the computing system and based on the first dynamic characteristic and the second dynamic characteristic, a dynamic change of the machine, the dynamic change being a profile of vibrational frequencies of the machine over time; anddetermining, by the computing system and based on the profile of vibrational frequencies, an operation performed by the machine. 16. The method of claim 15, wherein determining the operation performed by the machine comprises: determining, based on a machine type of the machine and the profile of vibrational frequencies, the operation performed by the machine. 17. A mobile device comprising: a mobile sensor; andone or more processors to: identify a first dynamic characteristic of a machine while the mobile device is located on or within the machine, the first dynamic characteristic being based on sensor data from a mobile sensor of the mobile device;identify a second dynamic characteristic of the machine while the mobile device is located on or within the machine;determine, based on the first dynamic characteristic and the second dynamic characteristic, a dynamic change of the machine, the dynamic change being a profile of vibrational frequencies of the machine over time; anddetermine, based on the profile of vibrational frequencies, an operation performed by the machine. 18. The mobile device of claim 17, wherein the one or more processors are further to: identify information regarding a machine type of the machine after the mobile device is used to scan an identifier on the machine, andwherein, when determining the operation performed by the machine, the one or more processors are to: determine the operation performed by the machine based on the profile of vibrational frequencies and the information regarding the machine type. 19. The mobile device of claim 17, wherein the one or more processors are further to: provide, based on the profile of vibrational frequencies, an instruction for the machine to avoid a location of a pothole. 20. The mobile device of claim 17, wherein the operation performed by the machine comprises one or more of: a path traversed by the machine, ora task performed by the machine.
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