IoT Gas Work Order Scheduling via Multi-Domain Segmentation
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Solution Overview
Problem
In the gas service industry, there are uncertainties in dispatching staff for gas work orders, leading to untimely and inefficient processing of gas-related issues due to varying staff capabilities and availability.
Innovation Solution
An Internet of Things (IoT) system is implemented, comprising a smart gas user platform, service platform, and management platform, which determines the most suitable scheduling sub-domain for a work order based on its inquiry and user features, optimizing the assignment and processing of gas work orders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual dispatching methods are used for gas work orders, then staff can be assigned to process requests, but uncertainties in staff availability and varying processing levels lead to untimely processing and long handling times
Solution Approach 1:
The patent segments the gas work order scheduling system into multiple platforms (user platform, service platform, management platform) and divides work orders into different scheduling sub-domains based on inquiry features and user features. This segmentation enables specialized handling of different work order types by appropriate staff members, improving processing efficiency and reducing handling time through targeted assignment rather than generic manual dispatching.
2Ease of operation
If work orders are assigned without considering staff capabilities and availability, then assignment can be made quickly, but processing becomes untimely and inefficient due to mismatched staff-work order pairing
Solution Approach 1:
The management platform receives feedback from the service platform about work order status and from the user platform about inquiry features. This feedback mechanism enables the system to continuously optimize staff assignment by learning from processing outcomes, staff availability updates, and work order characteristics, thereby improving processing efficiency while maintaining ease of operation through automated decision-making.
Solution Approach 2:
The system changes the parameters of work order assignment by introducing multiple scheduling sub-domains classified by inquiry features (type, location) and user features (type, terminal, usage). This parameter-based classification transforms the assignment process from simple manual allocation to a multi-dimensional matching system that considers staff capabilities, availability, and work order characteristics simultaneously, improving both efficiency and operational simplicity.
3Device complexity
If a single scheduling domain is used for all work orders, then management is simplified, but accurate and timely dispatching cannot be achieved due to diverse work order requirements
Solution Approach 1:
The patent introduces another dimension to the scheduling system by creating multiple scheduling sub-domains based on inquiry features and user features. This dimensional expansion transforms a single-domain scheduling approach into a multi-domain structure where each sub-domain handles specific types of work orders with appropriate staff specialization. The additional dimension of classification improves dispatching accuracy without excessive complexity through systematic categorization.
Data Source
AI summary
The embodiments of the present disclosure provide a method for optimizing smart gas work order scheduling implemented by an Internet of Things system for optimizing smart gas work order scheduling, the Internet of Things system includes a smart gas user platform, a smart gas service platform, and a smart gas management platform that interact in sequence, wherein the method is executed by the smart gas management platform, and a smart gas service sub-platform may generate a work order to be assigned based on a gas processing request. The gas processing request refers to a request that is sent by the user to process a gas-related problem. The gas-related problems may include fault reporting, service complaint, gas device function inquiry, gas new product inquiry, etc.