Qualitative Reasoning based Sensor Installation Fault Inspection Method for Heat Source Systems of Air Conditioning Systems

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  • ビル空調システムのための定性推論によるセンサ施工時不具合検知方式
  • ビル クウチョウ システム ノ タメ ノ テイセイ スイロン ニヨル センサ

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Abstract

In a heat source system, which is a part of building air conditioning system, numerous sensors are used to measure the temperature of the water. Low precision sensors often lead to measurement errors. In addition, human carelessness usually gives rise to faults during sensor installation: for example, one sensor is installed in mistake for another one, sensors that are used to measure the water temperature are not steeped in the water, etc. Since the installation faults of sensors present themselves in the form of changes of measured values, we propose a qualitative reasoning based sensor installation fault inspection method for sensor fault detection as: First, construct a qualitative model based on the specifications. Next, modify the measured values according to the assumed sensor installation faults. Finally, identify the faults by using stochastic qualitative reasoning. This method is applied to a heat source system to confirm its effectiveness in detecting the sensor installation faults successfully.

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