Refrigeration equipment performance analysis system based on big data

CN119309834APending Publication Date: 2025-01-14深能智慧能源科技有限公司
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Patent Information

Application Number
CN202411401156.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-09
Publication Date
2025-01-14

AI Technical Summary

Technical Problem

The impact of ambient temperature, humidity and wind speed on the performance analysis system of refrigeration equipment leads to data reading deviations and failures, affecting the accuracy and reliability of the system.

Method used

A performance analysis system for refrigeration equipment based on big data is designed, including data acquisition module, data analysis and processing module and automatic adjustment module. By collecting environmental and equipment data, environmental impact coefficients are calculated, and automatic adjustment is performed according to threshold comparison to reduce the environment. influence of factors.

Benefits of technology

It improves the accuracy and reliability of the refrigeration equipment performance analysis system, reduces the failure rate, and extends the service life of the equipment.

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Abstract

The invention relates to the technical field of refrigeration equipment performance analysis, and discloses a refrigeration equipment performance analysis system based on big data, which comprises a data acquisition module, a data analysis processing module, an automatic adjustment module and an early warning module, the data acquisition module acquires environment temperature data, environment humidity data, environment wind speed data, equipment temperature data, equipment voltage data and equipment current data and sends the data to the data analysis processing module; the data analyzing and processing module calculates an environment temperature influence coefficient, an environment humidity influence coefficient, an environment wind speed influence coefficient, actual temperature data, actual humidity data and actual wind speed data, and then compares the data with corresponding threshold values to judge whether the refrigeration equipment performance analyzing system is influenced by environment factors or not; and corresponding signals are sent to the automatic adjusting module to automatically adjust corresponding equipment, so that the operation time of the equipment under extreme conditions is shortened, the fault rate is reduced, and the service life of the equipment is prolonged.
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