Maintenance Support System for Steam Plant Predictive Information Delivery
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Solution Overview
Problem
In steam plants, the inefficiency in preparing for maintenance due to the lack of timely and accurate maintenance information leads to either inadequate or excessive resource allocation, impacting the accuracy and efficiency of maintenance work.
Innovation Solution
A maintenance support system that delivers predictive information on the operational status of steam traps before maintenance, allowing for efficient preparation by estimating the required resources, while ensuring accurate maintenance information is generated based on real-time detection signals, and includes features like intermittent detection and battery charge monitoring to prevent misdetection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If maintenance information is delivered immediately before maintenance work is performed, then the accuracy of maintenance work is improved, but the preparation time for maintenance work is reduced
Solution Approach 1:
The system performs preliminary detection and generates predictive maintenance information in advance of the maintenance work. Detectors continuously monitor the operational status of maintenance-target apparatuses, and the system predicts future states before maintenance is needed, allowing preparation to start earlier while maintaining accuracy through real-time data collection leading up to the maintenance event.
Solution Approach 2:
The system dynamically adjusts the delivery timing and content of maintenance information based on the detected operational status of apparatuses. By continuously monitoring real-time data and predicting future states, the system can deliver information at optimal times that balance preparation needs with accuracy requirements, rather than using a fixed delivery schedule.
2Productivity
If maintenance information is delivered earlier to allow for longer preparation time, then the preparation efficiency is improved, but the accuracy of maintenance information is reduced
Solution Approach 1:
The detectors continuously monitor the operational status of maintenance-target apparatuses without interruption. This continuous detection ensures that the system always has up-to-date data to generate accurate predictive information, even when delivered in advance. The continuous data collection maintains accuracy while allowing earlier delivery for better preparation.
Solution Approach 2:
The system uses real-time feedback from detectors monitoring operational status to continuously update and refine maintenance predictions. This feedback mechanism ensures that even though information is delivered earlier, the predictions remain accurate because they are based on the latest detected data trends and operational patterns leading up to the maintenance event.
3Reliability
If a larger number of workers and replacement traps are prepared to avoid shortage, then the reliability of maintenance work is improved, but the loss of resources is increased
Solution Approach 1:
The system generates predictive maintenance information in advance that accurately forecasts which apparatuses will require maintenance and the specific resources needed. This preliminary information allows for precise pre-arrangement of only the necessary workers and replacement parts, eliminating the need to over-prepare while ensuring all required resources are available when needed.
Solution Approach 2:
The maintenance support system automatically analyzes detection data and generates accurate predictions about maintenance needs, enabling the organization to self-determine the exact resource requirements without manual estimation or excessive provisioning. This self-service capability replaces the conservative approach of over-preparing with data-driven precise resource planning.
Data Source
AI summary
A maintenance support system for a plurality of maintenance-target apparatus in a plant includes a maintenance information delivery unit that delivers maintenance information Im that indicates an operational status of each maintenance-target apparatus to maintenance personnel every preset time T, wherein the maintenance information delivery unit delivers predictive information If to the maintenance personnel at a specified time Tf between the previous delivery of the maintenance information Im and the next delivery of the maintenance information Im, the predictive information If providing predictions regarding the operational status of each maintenance-target apparatus at the next delivery of the maintenance information Im.