SYSTEM AND METHOD FOR AUTOMATIC ALLOCATION OF MOBILE RESOURCES TO TASKS

• US 20140180741A1
• Filed: 12/20/2013
• Published: 06/26/2014
• Est. Priority Date: 12/20/2012
• Status: Abandoned Application

• Current Assignee: ABB Power Grids Switzerland AG (ABB Limited)
• Original Assignee: ABB Technology AG (ABB Limited)
• Inventors: Harjunkoski, Iiro, Saliba, Sleman, Franke, Carsten
• Application Number:
  US14/136,454
• Publication Number:
  US 20140180741A1
• Time in Patent Office: Days
• US Class Current: 705/7.14
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis

Abstract

A system for automatic allocation of mobile resources to tasks includes at least one database which stores for each mobile resource at least one corresponding skill and equipment as well as street-level data defining roads between a current location of the mobile resources and the distant locations of the tasks, and dynamic data which have a potential impact on performance of the tasks. A first data processing unit allocates the mobile resources to the tasks by allocating the skills to the tasks and the equipment, and generates for at least one of the mobile resources an individual schedule including a street-by-street route along the roads to the respectively allocated tasks. A second data processing unit continuously pre-processes the dynamic data to determine which of the street-level data, the mobile resources and the tasks are affected by the dynamic data and to what extent, and to amend the affected data accordingly.

Claims

1. A system for automatic allocation of mobile resources to tasks which are to be performed at at least one location distant from the mobile resources, the system comprising:

at least one database configured to store data defining the tasks as well as the mobile resources; and

a computing device containing a first data processing unit which is configured to

wait for a trigger event, and

after having been notified of the trigger event, access the at least one database, allocate the mobile resources to the tasks to generate an individual schedule for at least one of the mobile resources, and transmit each of the individual schedules to a mobile data communication device assigned to the respective one of the mobile resources, wherein;

the at least one database is configured to store

at least one corresponding skill and equipment for each mobile resource,

street-level data defining roads between a current location of the mobile resources and the at least one distant location of the tasks, and

dynamic data which have a potential impact on the performing of the tasks;

the first data processing unit is configured to perform the allocation of the mobile resources by allocating the skills to the tasks and to the equipment, and to generate for the at least one of the mobile resources, as part of each individual schedule, a street-by-street route along the roads to the respectively allocated tasks; and

the system comprises a second data processing unit implemented in one of the computing device and a further computing device, the second data processing unit being configured to continuously pre-process the dynamic data to determine which of the street-level data, the mobile resources and the tasks are affected by the dynamic data and to what extent, and to amend the affected data accordingly.

2. The system according to claim 1, wherein the second data processing unit is configured to introduce a logical link between at least two of the skills, equipment, roads and tasks, and

wherein the first data processing unit is configured to perform the allocating so that the logically linked data are reflected in the individual schedule.

3. The system according to claim 1, wherein the street-level data contain for each of the roads speed-related information corresponding to a specified section of the road, and

wherein the first data processing unit is configured to generate the individual schedule and the corresponding street-by-street route by minimizing at least one of a length of travel time and a travel distance per unified time window while maximizing the number of allocated tasks per the unified time window.

4. The system according to claim 1, wherein the dynamic data include data from a traffic control center about at least one of traffic jams, accidents and construction sites, and

wherein the second data processing unit is configured to identify the roads which are affected by the data from the traffic control center and the extent to which the street-level data corresponding to the identified roads are affected, and to adjust the corresponding street-level data accordingly.

5. The system according to claim 3, wherein the database is configured to store the dynamic data over a pre-defined period of time, and

wherein the second data processing unit is configured to identify from the dynamic data a time-dependent pattern of traffic intensity along the roads, and to amend the street-level data to reflect the pattern of traffic intensity by adjusting the speed-related information accordingly.

6. The system according to claim 3, wherein the dynamic data include data of a traffic related public event, and

wherein the second data processing unit is configured to estimate the impact of the event on the speed-related information, and to identify those roads which will be blocked for any traffic during the event.

7. The system according to claim 3, wherein the dynamic data include weather related data,

wherein the second data processing unit is configured to correspondingly adjust at least one of the speed-related information of affected roads, and a priority ranking of at least one of the equipment and skills, and

wherein the first data processing unit is configured to perform the allocating so that the priority ranking is reflected in the individual schedule.

8. The system according to claim 1, wherein the dynamic data include data on the availability of at least one of fuel and electricity, and

wherein the second data processing unit is configured to adapt a priority ranking of at least one of the tasks and fuel- or electricity driven equipment to the respective availability.

9. The system according to claim 1, wherein the second data processing unit is configured to predict future tasks based on the dynamic data, and

wherein one of the first data processing unit and the second data processing unit is configured to define an appropriate emergency reserve of mobile resources capable of responding to the predicted tasks.

10. The system according to claim 1, wherein the dynamic data include an update on a state of a mobile resource, and

wherein the second data processing unit is configured to determine a resulting impact on any of the skills and/or equipment.

11. The system according to claim 3, wherein the dynamic data include data on the availability of at least one of fuel and electricity, and

wherein the second data processing unit is configured to adapt a priority ranking of at least one of the tasks and fuel- or electricity driven equipment to the respective availability.

12. The system according to claim 3, wherein the second data processing unit is configured to predict future tasks based on the dynamic data, and

wherein one of the first data processing unit and the second data processing unit is configured to define an appropriate emergency reserve of mobile resources capable of responding to the predicted tasks.

13. The system according to claim 3, wherein the dynamic data include an update on a state of a mobile resource, and

wherein the second data processing unit is configured to determine a resulting impact on any of the skills and/or equipment.

14. A method for computer-implemented automatic allocation of mobile resources to tasks which are to be performed at at least one location distant from the mobile resources, the method comprising:

storing data defining the tasks as well as the mobile resources in at least one database;

waiting for a trigger event by a first data processing device;

after having been notified of the trigger event, in the first data processing device, accessing the at least one database, allocating the mobile resources to the tasks to generate an individual schedule for at least one of the mobile resources, and transmitting each of the individual schedules to a mobile data communication device assigned to the respective one of the mobile resources;

storing in the at least one database

at least one corresponding skill and equipment for each mobile resource,

street-level data defining roads between a current location of the mobile resources and the at least one distant location of the tasks, and

dynamic data which have a potential impact on the performing of the tasks;

performing, in the first data processing device, the allocating of the mobile resources by allocating the skills to the tasks and to the equipment, and by generating for the at least one of the mobile resources as part of each individual schedule a street-by-street route along the roads to the allocated tasks; and

continuously pre-processing, in a second data processing device, the dynamic data to determine which of the street-level data, the mobile resources and the tasks are affected by the dynamic data and to what extent, and to amend the affected data accordingly.