Monitoring method of cooling system and monitoring device thereof
AssigneeDei Energy Solution Technology Co., Ltd.
InventorsTe-Pin Hsu, Fu-Min Li, Chia-Sheng Su
Life of this patent
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Abstract
A monitoring method of a cooling system and a monitoring device thereof are provided. The monitoring method includes the steps: establishing an abnormality determination model according to predetermined abnormal data and predetermined abnormal types using deep learning by a monitoring module; generating groups of temperature data respectively by a plurality of temperature sensors; and determining one or more abnormal types and an abnormal prediction of the cooling system according to the groups of temperature data and the plurality of temperature sensors using the abnormality determination model by the monitoring module.
Claims8
A monitoring method of a cooling system, comprising steps of:
- S1:
- establishing an abnormality determination model according to predetermined abnormal data and predetermined abnormal types using deep learning by a monitoring module;
- S2:
- generating groups of temperature data by a plurality of temperature sensors;
- and
- S3:
- determining one or more abnormal types and an abnormal prediction of the cooling system according to the groups of temperature data and the plurality of temperature sensors using the abnormality determination model by the monitoring module,
- wherein the step of S3 further includes:
- generating a plurality of temperature grades respectively according to the groups of temperature data using a grade calculation formula, determining said one or more abnormal types according to the plurality of temperature grades using the abnormality determination model, and determining the abnormal prediction according to an occurrence number of said one or more abnormal types in a time period;
- and
- wherein the step S3 of the monitoring method further calculates temperature changes ΔT=Ti+1−Ti according to the groups of temperature data and calculates temperature grades T0=Σi=0nΔTi.
A monitoring device of a cooling system, comprising:
- a plurality of temperature sensors, for generating groups of temperature data respectively;
- a monitoring module, for performing steps of:
- establishing an abnormality determination model according to predetermined abnormal data and predetermined abnormal types using deep learning;
- and determining one or more abnormal types and an abnormal prediction of the cooling system according to the groups of temperature data and the plurality of temperature sensors using the abnormality determination model,
- wherein the step of determining one or more abnormal types and an abnormal prediction of the cooling system further includes:
- generating a plurality of temperature grades respectively according to the groups of temperature data using a grade calculation formula, determining said one or more abnormal types according to the plurality of temperature grades using the abnormality determination model, and determining the abnormal prediction according to an occurrence number of said one or more abnormal types in a time period;
- and
- wherein the monitoring module further calculates temperature changes ΔT=Ti+1−Ti according to the groups of temperature data and calculates temperature grades T0=Σi=0nΔTi.
Dependencies are inferred from the claim text.