CONNECTED HOTELS GUEST EXPERIENCE

• US 20170115018A1
• Filed: 10/21/2016
• Published: 04/27/2017
• Est. Priority Date: 10/23/2015
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Mintz, Renato
• Granted Patent: US 10,430,710 B2
• Time in Patent Office: Days
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/52 Indication arrangements, e.g. displays
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/64 using pre-stored data
• CPC Class Codes: F24F 2110/10 Temperature
• CPC Class Codes: F24F 2120/00 Control inputs relating to users or occupants
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

Methods, systems, and apparatus for providing an enhanced hotel guest experience. Disclosed methods include the actions of receiving data indicating the presence of a hotel guest from one or more sensors; generating a likelihood score that the hotel guest is going to their hotel room; determining that the generated likelihood score exceeds a likelihood threshold score; and based on determining that the generated likelihood score exceeds the likelihood threshold score, sending one or more instructions to one or more devices located within the hotel room.

Claims

1. A method comprising:

receiving data indicating the presence of a hotel guest from one or more sensors;

generating a likelihood score that the hotel guest is going to their hotel room;

determining that the generated likelihood score exceeds a likelihood threshold score; and

based on determining that the generated likelihood score exceeds the likelihood threshold score, sending one or more instructions to one or more devices located within the hotel room.

2. The method of claim 1, wherein the one or more sensors are located in different areas of the hotel.

3. The method of claim 2, wherein receiving data indicating the presence of a hotel guest from one or more sensors comprises:

receiving data indicating a sequence of physical locations of the guest; and

determining a path that the hotel guest is taking.

4. The method of claim 1, wherein the device located within the hotel room is an in-room thermostat device.

5. The method of claim 4, wherein providing the in-room thermostat device with a guest preferred temperature (GPT) value.

6. The method of claim 4, wherein the instruction to the in-room thermostat device comprises an instruction to set the room temperature to a set point temperature.

7. The method of claim 4, comprising receiving a current external temperature (CET).

8. The method of claim 1, comprising defining a first factor Fonp and a second factor Foffp where Fonp<

Foffp and Fonp, Foffp are both less than or equal to one.

9. The method of claim 1, wherein the presence of the hotel guest is detected in the hotel room of the hotel guest.

10. The method of claim 6, wherein the set point temperature is the guest preferred temperature.

11. The method of claim 1, wherein the presence of the hotel guest is detected in the hotel facility.

12. The method of claim 11, wherein the set point temperature is GPT+((CET−

GPT)*Fonp), where GPT represents a guest preferred temperature, CET represents a current external temperature and Fonp represents a factor that is less than or equal to one.

13. The method of claim 1, wherein the hotel guest is not detected in the hotel facility.

14. The method of claim 13, wherein the set point temperature is GPT+((CET−

GPT)*Foffp), where GPT represents a guest preferred temperature, CET represents a current external temperature and Fonp represents a factor that is less than or equal to one.

15. The method of claim 1, wherein the in-room device is a lighting device.

16. A computer-readable storage device storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

receiving data indicating the presence of a hotel guest from one or more sensors;

generating a likelihood that the hotel guest is going to a room within the hotel;

determining that the generated likelihood exceeds a likelihood threshold score; and

based on determining that the generated likelihood exceeds the likelihood threshold score, sending one or more instructions to one or more devices located within the room.

17. The device of claim 16, wherein receiving data indicating the presence of a hotel guest from one or more sensors comprises:

receiving data indicating a sequence of physical locations of the guest; and

determining a path that the hotel guest is taking.

18. The device of claim 16, wherein the device located within the hotel room is an in-room thermostat device.

19. A system comprising:

one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising;

receiving data indicating the presence of a hotel guest from one or more sensors;

generating a likelihood that the hotel guest is going to a room within the hotel;

determining that the generated likelihood exceeds a likelihood threshold score; and

based on determining that the generated likelihood exceeds the likelihood threshold score, sending one or more instructions to one or more devices located within the room.

20. The system of claim 19, wherein receiving data indicating the presence of a hotel guest from one or more sensors comprises:

receiving data indicating a sequence of physical locations of the guest; and

determining a path that the hotel guest is taking.