Knowledge Graph Service Scheduling for Smart Home Availability
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Solution Overview
Problem
Existing smart home systems struggle with suboptimal service scheduling, leading to inconsistent and interrupted service delivery due to reliance on fixed rules, which fail to adapt to service availability and device capacity, resulting in poor user experience.
Innovation Solution
A service scheduling method utilizing a service scheduling knowledge graph to determine optimal service allocation by generating and selecting a target service scheduling sequence based on importance degree, utilization rate, and occupancy, and notifying devices to access the appropriate services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If constant rules are used for service scheduling, then the scheduling process is simple, but service allocation optimization cannot be achieved and service availability is poor
Solution Approach 1:
The patent transforms the static constant rule scheduling into a dynamic knowledge graph-based scheduling system. The service scheduling knowledge graph is constructed and updated in real-time based on service status, device capacity, and user preferences, enabling the system to adaptively adjust scheduling decisions rather than following fixed rules.
Solution Approach 2:
The patent changes the scheduling parameters from fixed constant rules to dynamic parameters including service importance degree, device utilization rate, and service occupancy. These parameters are continuously updated and used to calculate scheduling values that determine optimal service allocation.
2Device complexity
If a music air conditioner is fixed to a single music service, then the scheduling rule is simple, but the service cannot be provided when the music service is down or reaches maximum visits
Solution Approach 1:
The patent enables devices to access multiple services through the knowledge graph structure. Instead of binding a device to a single service, the system stores multiple service options and their relationships in the knowledge graph, allowing devices to access any suitable service based on current conditions.
Solution Approach 2:
The service scheduling knowledge graph acts as an intermediary between devices and services. It decouples the direct binding relationship, allowing the system to mediate service access decisions based on real-time status information, service availability, and device capabilities.
3Reliability
If optimal service allocation is implemented through knowledge graph, then service quality is improved, but the scheduling system complexity increases
Solution Approach 1:
The patent segments the scheduling system into distinct modules: knowledge graph construction module, scheduling value calculation module, and service allocation module. This segmentation allows each module to handle specific tasks independently, making the overall complex system more manageable and maintainable.
Solution Approach 2:
The system implements feedback mechanisms where service status, device capacity, and scheduling outcomes are continuously monitored and fed back into the knowledge graph. This feedback loop enables the system to learn from past scheduling decisions and improve future allocations, justifying the increased complexity through enhanced service quality.
Data Source
AI summary
Embodiments of the present disclosure provide a method and an apparatus for scheduling a service, an electronic device, and a storage medium. The method includes: a service scheduling task is acquired, the service scheduling task is composed of a first identifier corresponding to a service request, and a second identifier corresponding to a device receiving the service request; a third identifier corresponding to a service associated with the service scheduling task is searched in a preset service scheduling knowledge graph; at least one service scheduling sequence is generated on the basis of the service scheduling task and the third identifier corresponding to the service; a target service scheduling sequence is determined from the at least one service scheduling sequence; and the device is notified to access a service corresponding to the third identifier in the target service scheduling sequence.