Smart Gas Work Order Allocation via IoT Clustering
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Solution Overview
Problem
Current work order assignment schemes in smart gas operations often lead to inefficiencies due to imbalanced personnel supply and material capacity, resulting in insufficient materials and scattered traffic routes, which affect the timely completion of work orders and user feedback resolution.
Innovation Solution
A method for determining a smart gas work order set allocation plan using an Internet of Things (IoT) system, which includes a smart gas user platform, service platform, management platform, sensor network platform, and object platform. The method involves extracting work order features, determining cluster sets based on cluster distance, assigning linked work order sets, and planning optimal processing schemes to ensure efficient material usage and route optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If work orders are assigned directly to processing personnel based on category and difficulty, then the assignment process is simple and quick, but it leads to insufficient materials to be carried and scattered traffic routes, affecting processing efficiency
Solution Approach 1:
The patent combines multiple work orders into a linked work order set that can be processed together by a single personnel member. This merging approach allows one person to handle multiple tasks in sequence, carrying all necessary materials in one trip, thereby improving productivity without requiring complex assignment systems.
Solution Approach 2:
The patent segments work orders into distinct linked sets based on material requirements and processing dependencies. Each set is independently optimized and assigned to specific personnel, allowing for targeted resource allocation while maintaining overall system simplicity.
2Ease of operation
If work orders are assigned to processing personnel based on category and difficulty, then the assignment is straightforward, but it causes scattered traffic routes and insufficient materials to be carried
Solution Approach 1:
The system performs preliminary analysis of work order material requirements before assignment. By pre-calculating the total material needs of linked work order sets, the system ensures that personnel are equipped with all necessary materials in advance, preventing material insufficiency during field operations.
3Productivity
If work orders are assigned to processing personnel based on category and difficulty, then the assignment process is simple, but it results in scattered traffic routes affecting processing efficiency
Solution Approach 1:
By merging multiple work orders into linked sets with geographic and temporal proximity, the system enables personnel to visit multiple locations in sequence during a single trip. This reduces the number of separate travel legs and minimizes total traffic time, thereby improving overall processing efficiency.
Data Source
AI summary
The embodiments of the present disclosure provide a method and an Internet of Things system for determining a smart gas work order set allocation plan. The method includes: obtaining relevant data of the gas device, and uploading the relevant data to a smart gas management platform; extracting work order features of a work order to be assigned based on the relevant data of the gas device; determining a plurality of cluster sets based on a cluster distance between the work order features; determining at least one linked work order set based on the plurality of cluster sets; extracting set features of the linked work order set; determining an assignment scheme of the linked work order set based on the set features; determining an optimal scheme, determining a linkage processing scheme based on the optimal scheme; sending the assignment scheme and the linkage processing scheme to a smart gas service platform.