Incubator Temperature Control Using Multi-Sensor Extremes
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Solution Overview
Problem
Existing automatic analyzers face issues with unstable temperature control due to local temperature fluctuations in the incubator, leading to inaccurate analysis results.
Innovation Solution
An automatic analyzer equipped with multiple temperature sensors and a control unit that adjusts the heat source output based on the highest or lowest measured temperature to stabilize the incubator temperature, minimizing the impact of local fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the heat source output is controlled based on the differential value between target temperature and measured temperature using a single temperature sensor, then the temperature control responds quickly to temperature changes, but local temperature fluctuations cause improper temperature control and excessive heating
Solution Approach 1:
The incubator is divided into multiple temperature monitoring zones by placing multiple temperature sensors at different positions. Each sensor independently monitors local temperature, and the control unit selects the most appropriate sensor reading (highest or lowest) to represent the overall incubator temperature, preventing over-response to local fluctuations while maintaining quick response to genuine temperature changes.
Solution Approach 2:
Different positions within the incubator are assigned different temperature monitoring functions. By strategically placing sensors and selecting readings from specific positions (extremes), the system captures the true temperature state of the incubator environment without being misled by localized temperature variations caused by reagent dispensing or other operational factors.
2Reliability
If multiple temperature sensors are used to monitor different positions in the incubator, then the temperature control accuracy is improved, but the device complexity increases
Solution Approach 1:
Instead of using complex algorithms to average or weight multiple temperature sensor readings, the system inverts the approach by selecting the single most representative reading (either the highest or lowest temperature) to control the heat source. This simplifies the control logic while effectively preventing excessive heating responses to local temperature fluctuations.
Solution Approach 2:
The control strategy changes from using a single temperature parameter to selecting between multiple temperature parameters (highest or lowest) based on operational conditions. This parameter selection approach maintains temperature control accuracy without requiring complex multi-parameter processing algorithms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution ensures stable temperature control across the incubator, maintaining analysis accuracy by preventing excessive heating or cooling in response to local temperature changes.
Implementation Method 1
a heat source for heating or cooling the incubator
Implementation Method 2
a plurality of temperature sensors for measuring the temperature at different positions of the incubator
Data Source
AI summary
Provided is an automatic analyzer capable of appropriately controlling most of the temperature of an incubator even when local temperature fluctuation occurs.An automatic analyzer for analyzing a specimen includes an incubator for holding a plurality of vessels that store a mixed liquid of the specimen and a reagent, a heat source for heating or cooling the incubator, a plurality of temperature sensors provided at different positions of the incubator and measuring the temperature, and a control unit for controlling an output of the heat source based on a difference between a target temperature and the highest temperature or the lowest temperature among the measured temperatures of the temperature sensors.