Facility Operation Planning Using Sensor Data Certainty Evaluation
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Solution Overview
Problem
Existing job execution systems fail to accurately consider the degree of certainty of operation data, leading to plans that deviate from actual conditions and reduce accuracy and efficiency.
Innovation Solution
A facility operation support apparatus evaluates the certainty of operation data using a combination of elements such as acquisition period, location, and characteristics to improve data reliability, enabling more accurate job execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data reliability analysis is performed based on information source and transition (PTL 1), then the reliability assessment is simplified, but the accuracy of reliability analysis is insufficient
Solution Approach 1:
The reliability analysis is segmented into multiple independent evaluation dimensions including information source reliability, data transition process reliability, data acquisition timing, and data characteristics. Each dimension is evaluated separately and then integrated to form a comprehensive reliability assessment, allowing for both simplified individual assessments and accurate overall evaluation.
Solution Approach 2:
The patent introduces additional evaluation dimensions beyond the traditional information source and transition analysis. These include temporal dimensions (acquisition timing, data freshness) and characteristic dimensions (data type, measurement conditions), creating a multi-dimensional reliability assessment framework that enhances accuracy without significantly increasing complexity.
2Productivity
If job execution uses operation data without accurate certainty evaluation, then the process is simple and fast, but the job execution accuracy deviates from actual conditions
Solution Approach 1:
The system performs preliminary certainty evaluation of operation data before job execution begins. By pre-assessing data reliability across multiple dimensions and storing the certainty levels, the system prepares accurate data quality information in advance, enabling fast job execution with high accuracy without requiring complex real-time evaluations during the actual job processing.
Solution Approach 2:
The system implements feedback mechanisms where job execution results are compared against actual conditions, and the certainty evaluation criteria are continuously refined based on this feedback. This allows the system to maintain high execution accuracy while preserving operational efficiency through learned optimization of evaluation parameters.
Data Source
AI summary
Execution of a job, such as a power grid recovery plan in a facility, is implemented to be accurately suited to an actual condition. A UI unit is configured to receive sensor data regarding the operation of the power grid. A degree of certainability of the sensor data is calculated that is defined by a combination of a plurality of elements regarding acquisition of the sensor data and certainability of the operation data. A data reproduction unit is configured to reproduce the sensor data according to the degree of certainability; and a data storage unit is configured to store the operation data and the degree of certainability of the operation data in a storage unit in association with each other. The operation plan of the facility is made using the operation data stored in the storage unit in accordance with the degree of certainability stored in the storage unit.