Refrigerating or heating equipment management system and method based on internet of things

Abstract

The invention discloses a refrigerating or heating equipment management system and method based on internet of things. The refrigerating or heating equipment management system based on the internet of things comprises a data collecting terminal and a server; and the refrigerating or heating equipment management system based on the internet of things is characterized in that the server comprises a model generating module, a monitoring or controlling parameter generating module, a data receiving and sending module and a database; and after the model generating module generates a refrigerating or heating module, the monitoring or controlling parameter generating module generates a monitoring or controlling parameter or a monitoring or controlling parameter instruction and sends the monitoring or controlling parameter or the monitoring or controlling parameter instruction to the data collecting terminal, the data collecting terminal collects data and feeds back the collected data to the server after collecting is conducted. According to the refrigerating or heating equipment management system and method based on the internet of things, monitoring or controlling management can be conducted on various kinds of refrigerating or heating, the universality is high, a user can choose according to the actual condition of equipment needing to be monitored and managed by the user, individuation management of the specific equipment is achieved, and moreover, the purpose that one set of system conducts monitoring or controlling management on multiple refrigerating or heating equipment is achieved.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and in particular relates to a data collection and management system and method for refrigeration or heating equipment. Background technique [0002] Refrigeration technology is widely used in commercial cold chains (mainly for cold processing, refrigeration and refrigerated transportation of perishable foods such as fish, meat, eggs, vegetables, fruits, etc., to reduce food loss in production and distribution, and to ensure a reasonable market in each season. Sales), air conditioning (residential and public places, data room, precision workshop, etc.), industrial process refrigeration, cold and hot energy stations and other fields. Common refrigeration cycle methods include vapor compression refrigeration cycle, absorption refrigeration cycle, adsorption refrigeration cycle, vapor injection refrigeration cycle and semiconductor refrigeration. At present, most of the refrigeration...

AI Technical Summary

Problems solved by technology

[0013] Refrigeration systems using vapor compression cycle technology are widely used in different fields. Although the process principle is the same, they are not the same in terms of system size, structure complexity, function realization, and core equipment design.

Due to the current lack of standard methods to support the system description of different application designs, it often leads to different monitoring or control management standards for various projects, and the designed management system can only be applied to the management of its specific refrigeration equipment, while other refrigeration equipment cannot be managed , Different refrigeration equipment requires different management systems to manage, which undoubtedly increases the user's use cost

[0014] 2. Lack of standard methods to automatically build refrigeration system monitoring or control point systems

Although this method can quickly establish a monitoring or control scheme, the selection of parameter schemes is greatly affected by human factors and is highly random.

Due to the lack of systematic guidance on the refrigeration process, this type of monitoring or control often stays in simple data collection and display, with incomplete data types, lack of data correlation, and poor coordination of data point distribution

[0016] 3. Lack of standard data collection methods to support intelligent analysis and management

[0017] Due to the lack of process description standards and monitoring or control system standards for refrigeration systems, the structure of the data collected by current monitoring or control management is low, and the standardization and intelligence of later data analysis are low. It is suitable for horizontal comparison of large quantities of similar projects, but cannot meet the needs of efficient IoT intelligent management of refrigeration equipment systems in the Internet of Things era

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