Reefer Unit Abnormality Detection From Pre-Trip Trend Data
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Solution Overview
Problem
The transporting refrigeration apparatus faces inaccurate abnormality determination due to varying operation conditions during container transportation, as the cargo and set temperature differ, leading to inconsistent operation of the refrigeration apparatus.
Innovation Solution
An abnormality determination device that uses time series test data from pre-trip inspections to identify changes in operation trends, determining abnormalities and estimating abnormality occurrence times by comparing polytropic indices and compressor current ratios across multiple test operating modes, thereby stabilizing the analysis despite varying conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-trip inspection is conducted multiple times with different test operating modes, then the abnormality determination becomes more comprehensive, but the measurement precision deteriorates due to varying operation conditions
Solution Approach 1:
The patent segments the test operating modes into distinct categories (e.g., cooling mode, heating mode, idle mode) and performs separate abnormality determinations for each mode. By dividing the comprehensive inspection into mode-specific assessments, the system maintains high measurement precision within each mode while achieving comprehensive coverage across all operating conditions.
Solution Approach 2:
The patent changes the operational parameters (temperature settings, compressor speed, fan rotation) according to different test modes, and adjusts the abnormality determination criteria accordingly. For example, different temperature thresholds and performance ranges are applied for cooling versus heating modes, ensuring precise detection adapted to each operating condition.
2Adaptability or versatility
If the refrigeration apparatus operates under different conditions during transportation, then the adaptability improves, but the abnormality determination accuracy deteriorates
Solution Approach 1:
The patent implements dynamic abnormality determination that adapts to different operating conditions. The system automatically adjusts the reference values and thresholds based on the current test mode and actual operating parameters, allowing accurate abnormality detection whether the apparatus is in cooling, heating, or idle state during transportation.
Solution Approach 2:
The patent modifies the determination parameters (temperature differentials, pressure ranges, current consumption levels) according to the specific operating mode. This ensures that the abnormality criteria are appropriately calibrated for each condition, maintaining high detection accuracy across diverse transportation scenarios.
Data Source
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AI summary
An abnormality determination device for a transporting refrigeration apparatus includes a determination unit (67) that determines an abnormality of the transporting refrigeration apparatus (1) installed on a container. In pre-trip inspection that is conducted before the container is loaded on a transporting device, a test operation is performed for test operating modes. The pre-trip inspection is conducted multiple times. The abnormality determination device (60) is configured to obtain at least part of time series test data related to a same one of the test operating modes in the pre-trip inspection. The determination unit (67) is configured to determine whether the transporting refrigeration apparatus (1) has an abnormality based on a change trend of the time series test data related to a same one of the test operating modes when the pre-trip inspection is conducted multiple times, and when there is no abnormality, estimate an abnormality occurrence time.