IoT Gas Service Scheduling for Conflicting Field Service Plans
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Solution Overview
Problem
The existing gas installation process is cumbersome and often results in unreasonable arrangements of operation and maintenance personnel, leading to long waiting times due to limited personnel and conflicting service plans.
Innovation Solution
A method and system utilizing an Internet of Things (IoT) system for smart gas installation management, which includes a smart gas user platform, service platform, operation management platform, sensor network platform, and object platform, to optimize the scheduling of operation and maintenance personnel through data collection, analysis, and real-time adjustments based on user installation information, personnel availability, and historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual gas installation process is used, then personnel can be deployed flexibly, but service efficiency is low and waiting time is long
Solution Approach 1:
The patent replaces manual scheduling with an automated intelligent scheduling system that uses algorithms to optimize personnel deployment. The system automatically generates service plans, assigns personnel, and adjusts schedules based on real-time data, eliminating the inefficiencies of manual coordination and significantly improving service delivery speed.
Solution Approach 2:
The system performs preliminary actions by pre-planning and pre-assigning service personnel before actual service requests arrive. It generates door-to-door service plans in advance, pre-coordinates personnel availability, and prepares resource allocation strategies beforehand, enabling faster response times when service demands occur.
2Adaptability or versatility
If more operation and maintenance personnel are hired, then service coverage increases, but personnel arrangement becomes unreasonable and coordination complexity increases
Solution Approach 1:
The scheduling system is designed to be dynamic and adaptive, automatically adjusting personnel assignments based on fluctuating service demands, personnel availability, and geographic distribution. It continuously optimizes the allocation of existing personnel rather than requiring fixed increases in headcount, maintaining service coverage while avoiding the coordination complexity of permanent expansion.
Solution Approach 2:
The system enables personnel to perform multiple functions and serve multiple areas through intelligent routing and task assignment. A single technician can be dynamically assigned to different service locations and task types based on real-time needs, maximizing the utilization of existing personnel and eliminating the need for specialized staffing for each service area.
3Ease of operation
If door-to-door service plans are created manually, then personnel can be assigned based on experience, but conflicting schedules and unreasonable arrangements occur frequently
Solution Approach 1:
The system incorporates continuous feedback loops that monitor service plan execution, personnel availability, and service outcomes. It automatically detects scheduling conflicts, validates plan feasibility, and adjusts assignments based on real-time feedback from the field, ensuring that service plans are both easy to implement and highly reliable without requiring complex manual coordination.
Data Source
AI summary
The embodiments of the present disclosure provide methods and systems for scheduling operation and maintenance personnel based on an Internet of Things (IoT) system for smart gas installation management. The method may include: obtaining user installation information of at least one operation and maintenance area; determining target installation information of the at least one operation and maintenance area; determining a door-to-door service plan for the at least one operation and maintenance area; obtaining collection data of a gas device configured in the operation and maintenance area; determining a count of on-call personnel of the at least one operation and maintenance area; determining a scheduling capability value of the at least one operation and maintenance area; determining a real-time scheduling instruction; and in response to compensation time off information, updating the scheduling capability value, and adjusting the real-time scheduling instruction.