Location-Aware Task Objects for Dispersed Field Coordination
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Solution Overview
Problem
Existing data analysis systems struggle to effectively coordinate field operations in dispersed geographic areas, such as law enforcement or disaster relief, by providing inadequate tools for managing and visualizing location-sensitive tasks and assignments.
Innovation Solution
A system and method for generating and managing task objects that integrate location data, allowing for the creation, assignment, and tracking of tasks on a map, with features for linking data objects to task objects and updating geographic locations, and enabling user assignment and interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data analysis systems use traditional data repositories and object models, then data can be stored and organized, but the systems cannot effectively coordinate field operations in dispersed geographic areas
Solution Approach 1:
The patent introduces geographic location as a new dimension to traditional data objects by adding location fields (latitude, longitude, address) and spatial relationships. This allows tasks and data objects to be visualized and managed on maps, enabling effective coordination of field operations across dispersed geographic areas while maintaining the existing data repository structure.
Solution Approach 2:
The system enhances existing data objects with multiple functions by adding location-aware capabilities. Data objects can now serve both their original purposes and new spatial coordination functions through location fields, map visualization, and geographic filtering, allowing a single system to handle both traditional data management and field operation coordination.
2Ease of operation
If the system adds location data and map visualization features, then coordination of field operations is enhanced, but the device complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically generating location-aware task objects with pre-configured location fields and spatial relationships. Tasks are pre-equipped with geographic coordinates and address information, enabling immediate map visualization and geographic filtering without requiring complex real-time processing during operation.
Solution Approach 2:
The patent introduces map visualization as an intermediary layer between the data repository and users. The map serves as a mediator that translates complex location data into intuitive visual representations, allowing users to easily manage field operations without directly interacting with the underlying complex data structures and spatial relationships.
3Loss of information
If traditional data objects are used without location integration, then data storage is simple, but communication and coordination across dispersed teams is inadequate
Solution Approach 1:
The patent nests location information within existing data objects by adding location fields (latitude, longitude, address) as substructures of parent objects. This nested structure allows geographic context to be embedded within task objects, event objects, and other data structures without requiring separate storage systems, preserving information while maintaining manageable complexity.
Solution Approach 2:
The system creates composite data objects that combine traditional data properties with spatial information. By merging location fields, spatial relationships, and geographic context into unified data structures, the system prevents information loss while avoiding the complexity of separate parallel systems for data and location management.
Data Source
AI summary
Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.