Smart Gas IoT Platform Intelligent Statement Verification
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Solution Overview
Problem
The existing management systems for gas work orders in gas pipeline networks face challenges in timely execution and supervision, leading to inefficiencies and potential disruptions in the operation of the network and customer satisfaction.
Innovation Solution
A smart gas management platform within an IoT system that obtains work order information, determines the statement demand degree, and sets target statement parameters to perform verification on handlers, ensuring timely and accurate completion of gas work orders through intelligent statement management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual management of gas work orders is used, then flexibility in handling diverse work orders is maintained, but management efficiency and timeliness deteriorate
Solution Approach 1:
The system enables automatic self-verification of work order completion through IoT devices and automated statement generation. The platform automatically verifies completion status, generates statements, and sends notifications without requiring manual intervention, thereby improving management efficiency while keeping the system architecture manageable through rule-based automation.
Solution Approach 2:
Manual verification and statement generation processes are replaced with automated electronic systems. The platform uses digital verification mechanisms, automated statement generation algorithms, and electronic notification systems to substitute manual administrative tasks, significantly improving productivity without proportionally increasing system complexity.
2Adaptability or versatility
If uniform statement verification is applied to all work orders, then simplicity in verification process is maintained, but adaptability to different work order urgencies and types deteriorates
Solution Approach 1:
The verification system applies different verification standards and statement requirements to different work order types and urgency levels. High-urgency work orders receive priority verification with simplified processes, while standard work orders follow comprehensive verification protocols. This localized quality approach enables the system to adapt to varying requirements without requiring a completely complex reconfigurable framework.
Solution Approach 2:
The verification system dynamically adjusts verification depth, statement generation timing, and notification methods based on work order urgency and type. The platform can switch between expedited verification for urgent tasks and thorough verification for routine tasks, providing adaptability through dynamic parameter adjustment rather than static complex rules.
3Reliability
If timely statement verification is performed for all work orders, then customer satisfaction is improved, but loss of time in verification processing increases
Solution Approach 1:
The system performs preliminary verification checks automatically as work orders progress through completion stages. IoT devices pre-verify completion status, and the platform pre-generates statement drafts before final submission, reducing the actual verification processing time while maintaining timely statement delivery to customers.
Solution Approach 2:
For high-urgency work orders, the system implements expedited verification pathways that skip non-critical verification steps and accelerate statement generation. The platform can rush through essential verification checks for time-sensitive tasks while maintaining overall reliability, thereby reducing verification processing time without completely sacrificing verification thoroughness.
Data Source
AI summary
The present disclosure provides a method for platform intelligent statement based on operation of smart gas. The method is implemented by a smart gas management platform of an Internet of Things (IoT) system for platform intelligent statement based on operation of smart gas and includes: obtaining work order information of a target gas work order, the work order information including at least one of a gas user type, a work order type, a work order urgency, or work order correlation information; determining a statement demand degree of the target gas work order based on the work order information; determining a target statement parameter based on the statement demand degree, the target statement parameter including at least one of a statement mode, a statement time limit, or a statement verification parameter; and performing statement verification for a target handler based on the target statement parameter.


