System and method for managing services in a living place

• US 9,213,325 B2
• Filed: 04/21/2011
• Issued: 12/15/2015
• Est. Priority Date: 04/21/2010
• Status: Active Grant

• Current Assignee: Centre National De La Recherche Scientifique, Institut Polytechnique De Grenoble, Universite Joseph Fourier
• Original Assignee: Centre National De La Recherche Scientifique, Institut Polytechnique De Grenoble, Universite Joseph Fourier
• Inventors: Ploix, Stphane, Ha, Duy Long, Jacomino, Mireille, Wurtz, Frdric, Bacha, Seddik, Abras, Shadi
• Primary Examiner(s): Bahta, Kidest
• Application Number:
  US13/641,672
• Publication Number:
  US 20130041478A1
• Time in Patent Office: 1,699 Days
• Field of Search: 700/198, 700/285, 700/297, 700/7, 705/7.22, 705/305, 705/7.12, 340/351, 340/539
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H04L 12/2809 indicating that an appliance service is present in a home automation network monitoring functionality H04L43/0817; discovery or management thereof, e.g. service location protocol [SLP] or web services, H04L67/51
• CPC Class Codes: H04L 12/2829 involving user profiles according to which the execution of a home appliance functionality is automatically triggered
• CPC Class Codes: H04L 12/6418 Hybrid transport
• CPC Class Codes: H04L 2012/285 Generic home appliances, e.g. refrigerators

Abstract

A system is provided for managing services in a living place, including:

• • a supervision system,
  • an anticipative solving system,
  • the anticipative solving system including a processing and memory system for:
    • storing service type problem generators and powers and occupants'"'"' satisfaction-related transversal problem generator;
    • collecting service type and related parameters for each service;
    • generating instantiated constraint data for each service according to its type and an anticipative service type problem data based on the constraint data;
    • generating global anticipative problem data;
    • computing set-point data for each service based on the solved global anticipative problem;
    • sending set-point data to the supervision system; and
  • a reactive system adapted to adjust the set-point data computed by the anticipative system depending on the current state of each service.

Claims

1. A system for managing services in a living place, comprising:

a supervision system adapted to send set-point data to each service;

an anticipative solving system adapted to optimize set-point data for each service, based on a cost and occupant'"'"'s satisfaction criterion, each of said cost and said occupant'"'"'s satisfaction having an imposed respective weight;

a first communicator between the supervision system and each of the services, and between the supervision system and the anticipative solving system;

the anticipative solving system comprising a processor and memory operably;

(a) storing service type problem generators and transversal problem generator, wherein a service type problem generator is adapted to generate a problem for a respective service and the transversal problem generator is adapted to generate transversal power constraints to the services and the cost and occupant'"'"'s satisfaction criterion;

(b) collecting service type and related parameters for each service;

(c) generating instantiated constraint data for each service according to a respective service type and an anticipative service type problem data based on the constraint data, wherein a service type is a class of services that can be modelled by similar constraints but with different parameters;

(d) generating global anticipative problem data based on the service type problem data of each service and on problem data that are transversal to all services;

(e) computing set-point data for each service based on the solved global anticipative problem;

(f) sending set-point data to the supervision system; and

a reactive system adapted to adjust the set-point data computed by the anticipative system depending on the current state of each service.

2. The system of claim 1, wherein the processor comprises a mixed integer linear programming (MILP) solver adapted to compute set-point data for each service based on the global anticipative problem data.

3. The system of claim 1, wherein the supervision system is adapted to send the computed set-point data to each service through the communicator.

4. The system of claim 1, further comprising a prediction system and a second communicator between the supervision system and the prediction system, wherein the prediction system is adapted to send service request prediction data and/or energy cost prediction data and/or weather prediction data to the supervision system through the second communicator.

5. The system of claim 1, wherein the anticipative solving system is adapted to collect service type and related parameters for a new service and to take the data into account in generating global anticipative problem data and computing set-point data for each service based on the solved global anticipative problem.

9. The system of claim 1, wherein the service type is selected from:

a grid power supplier, a photovoltaic power supplier, an electric storage service, a water heating service, a temporary end-user service, and a temperature controlling service.

6. A computer-implemented method for managing services in a living place, comprising:

collecting, at a supervision system, service type and related parameters for each service;

collecting at the supervision system prediction data from a prediction system;

sending by the supervision system to an anticipative solving system a meta-description comprising the type, parameters and prediction data for each service and prediction data that are transversal to all services;

sending to a service type problem generator the parameters and prediction data for each service;

generating at the service type problem generator instantiated constraint data for each service according to a respective service type and anticipative service type problem data based on the constraint data;

sending the service constraint data to a transversal problem generator to finalize a global anticipative problem data;

solving the global anticipative problem based on a cost and satisfaction criterion;

extracting set-point data for each service from the solution of the global anticipative problem, wherein the set-point data define collectively an anticipative plan;

sending the anticipative plan to the supervision system;

sending the set-point data to the services by the supervision system;

collecting at the supervision system the current state of the services;

according to the current state of the services and to the set-point data, deciding at the supervision system to follow the anticipative plan or to adjust the set-point data until new predictions are received and/or the anticipative plan ends and/or the set-point data diverge from the anticipative plan; and

according to the current state of a service, adjusting its parameters.

7. The method of claim 6, further comprising, when a new service is added, determining whether the related service type problem is known and, in the affirmative, causing the global anticipative problem data generation step to rely upon the constraint data of the new service.

8. The method of claim 7, further comprising determining whether an anticipative service type problem generator related to the new service is present in said anticipative solving system and, in the negative, downloading the anticipative service type problem generator related to the new service from a remote site.