AI Reporting Protocol Selection for Multi-Jurisdiction Plant Compliance
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Solution Overview
Problem
Current reporting protocols for monitoring operations in oil refineries and chemical plants are often manually selected and tracked, leading to user-caused errors, improper decision-making, increased emissions, fines, and reputational damage due to the use of improper protocols, which fail to meet regulatory requirements and vary by jurisdiction.
Innovation Solution
A computer-implemented method using an artificial intelligence model to automatically select a reporting protocol based on location, industry type, and reporting level, generating an operational report that is compliant with regulatory standards and suitable for internal or external audiences, reducing errors and ensuring accurate data representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection and tracking of reporting protocols is used, then user control and flexibility are maintained, but user-caused errors increase and reliability decreases
Solution Approach 1:
The system automatically selects and tracks the appropriate reporting protocol based on location data without requiring manual user intervention. The automated system serves itself by determining which protocol to apply based on the processing plant's location and operational characteristics, eliminating user-caused errors while maintaining reliability.
Solution Approach 2:
The manual mechanical process of selecting and tracking reporting protocols is replaced with an automated computer-implemented system. The patent substitutes human decision-making with an automated protocol selection mechanism that uses location data and processing plant characteristics to determine the appropriate reporting protocol, thereby eliminating user errors.
2Measurement precision
If automated protocol selection using AI model is implemented, then reporting accuracy and compliance improve, but system complexity increases
Solution Approach 1:
The patent introduces a protocol selection model as an intermediary component that bridges the gap between raw location data and the final reporting protocol selection. This intermediary layer processes location data and processing plant characteristics through automated logic to determine the appropriate protocol, improving accuracy while managing system complexity through modular design.
Solution Approach 2:
The system uses location data as a key parameter to automatically determine the appropriate reporting protocol. By changing the parameter from manual user input to automated location-based data, the system achieves higher selection accuracy. The patent modifies the operational parameters of protocol selection to be driven by location coordinates and processing plant characteristics rather than manual intervention.
3Reliability
If location-based automated selection is used, then compliance with jurisdictional requirements improves, but data processing requirements increase
Solution Approach 1:
The system performs preliminary action by determining the appropriate reporting protocol in advance based on location data before actual reporting operations begin. By pre-selecting the protocol based on the processing plant's location and characteristics, the system ensures compliance with jurisdictional requirements while avoiding the need for complex real-time data processing during reporting operations.
Data Source
AI summary
Embodiments of the present disclosure provide for implementing at least one automatically selected reporting protocol. Some embodiments select a particular reporting protocol for use based at least in part on particular location data, for example location data associated with a processing plant, processing unit, and/or multiple processing plants individually. Some embodiments select a particular reporting protocol using a specially configured artificial intelligence model that learns a most probably accurate reporting protocol corresponding to particular location data. Additionally, some embodiments generate an operational report based at least in part on a selected reporting protocol and operations data received for a particular processing plant.