Refrigeration equipment early warning system and working method thereof

Abstract

The invention discloses a refrigeration equipment early warning system, which comprises a unit main module, a slave module, a cloud platform server, a human-computer interface and a client, and is characterized in that the slave module comprises a parallel compressor monitoring module, a condenser monitoring module and an evaporator monitoring module which transmit data to the unit main module through RS485 communication lines, the human-computer interface is connected with the unit main module, a main control module is connected to the cloud platform server through the Internet, and the cloud platform server is in communication connection with the client. The monitoring range is more comprehensive, all data in the system are comprehensively detected by combining a pressure monitoring technology, a current monitoring technology, a temperature detection technology, a voltage and phase sequence detection technology, an electric quantity detection technology and an external alarm signal, and the data are uploaded to the cloud to form a report for data analysis; more target points are monitored, and data analysis is facilitated; and the alarm monitoring range is more comprehensive.

Description

technical field [0001] The invention belongs to the technical field of equipment early warning and monitoring, and in particular relates to a refrigeration equipment early warning system and a working method thereof. Background technique [0002] With the development of industry and commerce and the improvement of people's living standards, refrigeration equipment is more and more widely used, including (1) cold storage: food preservation, low-temperature refrigeration, etc.; (2) quick-freezing processing: supporting quick-freezing tunnels and cold dryers; (3) Mushroom breeding industry: fungus cultivation and breeding; (4) Supermarket: used in supporting supermarket freezers; (5) Pharmaceutical industry: storage of medicines and blood products; (6) Ice making equipment: used in supporting ice machines; ( 7) Machinery industry: cold setting of shoe-making equipment, beer equipment, etc.; (8) Chemical industry: low-temperature storage of chemical raw materials, production of ...

AI Technical Summary

Problems solved by technology

The traditional early warning system has the following disadvantages: 1. The traditional early warning system can only deal with the problem on the spot; 2. The alarm is based on the low reliability of mechanical structure detection; 3. It cannot perform early warning; 4. It cannot monitor the data of the cold storage; 5. It cannot analyze the operation of the equipment Data; 6. The monitoring points are not comprehensive, there is no data analysis link, and no comprehensive alarm can be issued; 7. It is impossible to use big data to give a daily report on cold storage operation; 8. Analyze the cause of the alarm based on the data

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