CN-122015243-A - Multi-module air conditioning unit and risk early warning method for cold medium matching of multi-module air conditioning unit

CN122015243ACN 122015243 ACN122015243 ACN 122015243ACN-122015243-A

Abstract

The invention discloses a multi-module air conditioning unit and a risk early warning method for cold medium matching of the multi-module air conditioning unit. The risk early warning method includes the steps of independently recording running data of each module which is electrified for n times recently, evaluating a matching risk value P Module of the cold medium carried by each module according to the power-off time of the unit and comparison between the running data and a history record when the unit is started, dynamically adjusting through mutual verification among multiple modules to obtain the matching risk value P Unit set of the cold medium carried by the unit, comparing the matching risk value of the cold medium carried by the unit with a set threshold, and prompting the risk if the matching risk value is smaller than the set threshold. The invention solves the technical problems of unsatisfactory water outlet temperature, increased freezing risk or reduced energy efficiency caused by unmatched air conditioner refrigerating medium.

Inventors

LU GUISHENG
ZHOU BAOLIN
MAO FENGMEI
Ou Xiangzhu

Assignees

珠海格力电器股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251224

Claims (12)

1. The risk early warning method for the cold medium matching of the multi-module air conditioning unit is characterized by comprising the following steps of: separately recording the operation data of each module which is electrified for n times recently; when the machine is started, the matching risk value P Module of the cold-carrying medium of each module is evaluated according to the power-off time of the machine set and the comparison of the operation data and the history record; The matching risk value P Unit set of the unit cooling medium is obtained through mutual verification and dynamic adjustment among the multiple modules; And comparing the matching risk value of the unit cooling medium with a set threshold value, and prompting the risk if the matching risk value is smaller than the set threshold value.
2. The risk early warning method of claim 1, wherein the operation data recorded each time includes a time of power-up of the unit, a current set cold-carrying medium temperature and settable range, an anti-freeze protection temperature set value and settable range, a current running lowest cold-carrying medium temperature, a matching risk value of the cold-carrying medium, a cold-carrying medium type, a current cooling mode, a cold-carrying medium temperature change curve and a compressor cooling power curve.
3. The risk early warning method of claim 1, wherein the matching risk value of the largest cold carrier medium is taken during each operation and recorded in the current record.
4. The risk early warning method according to claim 1, wherein if the most recent record of the unit is empty, the first record is used as the first record in the first start-up operation, and the matching risk value of the cold-carrying medium is a complete matching value.
5. The risk early warning method according to claim 1, wherein if no power is turned off between the current power on and the last operation or if power is turned off but the power off time does not exceed a set threshold, the matching risk value of the unit cooling medium is considered to be a complete match, and no risk prompt is required.
6. The risk early warning method according to claim 5, wherein if the power is off and the power-off time exceeds a threshold value, each module records a water temperature change curve and a compressor refrigeration power curve before the temperature of the cold-carrying medium reaches a set value after the power-on, selects a most matched history record to compare with a current data curve, and fits a matched risk value of the cold-carrying medium.
7. The risk early warning method of claim 6, wherein the fitting includes calculating the power of the whole machine working through the operation data after starting up, calculating the inlet temperature of the cold-carrying medium, the outlet temperature difference, the water pump power and the water flow of the pipeline, calculating the degree value D of the heat absorption quantity of the cold-carrying medium, and correcting the matching risk value of the cold-carrying medium again by utilizing the degree value D, the fitting degree of the selected historical curve and the current operation data curve and the difference of each data.
8. The risk early warning method according to claim 7, wherein the degree value D of heat absorption by the cold carrier medium is calculated as formula d=d1/D2, and is shown as percentage%; wherein D1 is the cold energy absorption of the cold-carrying medium, D1=y1 G (Tout-Tin), wherein y1 is a simplification coefficient of the experiment and theoretical calculation of the cold-carrying medium, G is volume flow, unit (m/h), tout is outlet temperature, and Tin is inlet temperature; d2 is the system design or the absorption cold as determined by experiment.
9. The risk early warning method according to claim 7, wherein after obtaining the cold medium matching risk values P Module of the respective modules, the data of the respective modules are compared and matched, the cold medium matching risk values of all the module machines are arranged according to the size, the values which are unreasonable in statistics are removed, and the average value of the remaining cold medium matching risk values is taken as the matching risk value P Unit set of the cold medium of the unit.
10. The risk early warning method according to claim 1, wherein the type of the cold-carrying medium at the time of starting up is the type in the last recording, and if the matching of the cold-carrying medium is prompted to be at risk, the type of the cold-carrying medium is judged again.
11. The risk early warning method according to claim 10, wherein the type of the aqueous cooling medium is determined as follows: If the cold-carrying medium matching risk is judged that prompting and protection are not needed, the type of the cold-carrying medium recorded before is used as the type of the cold-carrying medium at the time and is recorded; if the temperature of the cooling medium is lower than the set threshold value, judging that the cooling medium at the moment is an aqueous solution added with glycol and recording.
12. A multi-module air conditioning unit comprises a plurality of parallel modules and a plurality of groups of parallel fan coils, wherein the modules are communicated through pipelines, and refrigerating medium in the pipelines circulates between the modules and the fan coils through a water pump.

Description

Multi-module air conditioning unit and risk early warning method for cold medium matching of multi-module air conditioning unit Technical Field The invention relates to the technical field of air conditioners, in particular to a multi-module air conditioner unit and a risk early warning method for cold medium matching of the multi-module air conditioner unit. Background The multi-module air conditioning system is widely applied in commercial and industrial environments, the same air conditioning system operates in different scenes, different requirements are possibly met on water supply temperature, water supply temperature in certain occasions is higher, water supply temperature in certain occasions is lower, and the special condition has lower temperature requirements on cold carrying media. However, there is a significant problem in the prior art that when the user sets the anti-freezing protection temperature in different refrigeration modes, the set value is often not matched due to the difference of physical properties of the cold carrying medium (such as pure water or an aqueous solution added with ethylene glycol). For example, the freezing point of pure water is 0 ℃ and the freezing point of glycol aqueous solutions can drop below-20 ℃, but existing anti-freeze protection settings typically rely on fixed thresholds or manual adjustments by the user, lacking the ability to detect changes in media type in real time. When a user replaces a medium (such as changing from water to glycol solution) without correspondingly adjusting the anti-freezing protection temperature, the system can have the problems that the water temperature does not meet the requirement, the freezing risk is increased, or the energy efficiency is reduced. On the other hand, in industrial occasions, the special period is to replace the cold-carrying medium capable of refrigerating at lower temperature, and in the period of not needing low-temperature refrigeration, the customer can replace the cold-carrying medium of the unit, so that the energy efficiency is higher, and the energy-saving requirement is met. So that confirmation of the cold carrier medium is required when starting up a relatively long time after a shut down. If an additional hardware detection device (such as a special sensor) is arranged to detect the cold-carrying medium or frequent manual intervention is carried out, the system cost and complexity are increased, medium change cannot be dynamically adapted, and especially in a multi-module system, data inconsistency can be caused by independent operation of each module, so that the unmatched risk is further aggravated. At present, the conventional method is to rely on a history record or assumption when restarting after power failure, and the method is easy to cause misoperation, and influences the reliability of a system and user experience. Therefore, providing an intelligent cold medium matching risk early warning method for a multi-module air conditioning unit is a technical problem to be solved in the industry. Disclosure of Invention The invention provides a cold carrying medium matching risk early warning method and a multi-module air conditioner unit using the same, which aim to solve the technical problems of unsatisfactory water outlet temperature, increased freezing risk, reduced energy efficiency and the like caused by unmatched cold carrying medium of an air conditioner. The technical scheme adopted by the invention is that the risk early warning method for matching the cold-carrying medium of the air conditioner of the module machine comprises the following steps: separately recording the operation data of each module which is electrified for n times recently; when the machine is started, the matching risk value P Module of the cold-carrying medium of each module is evaluated according to the power-off time of the machine set and the comparison of the operation data and the history record; The matching risk value P Unit set of the unit cooling medium is obtained through mutual verification and dynamic adjustment among the multiple modules; And comparing the matching risk value of the unit cooling medium with a set threshold value, and prompting the risk if the matching risk value is smaller than the set threshold value. Further, the operation data recorded each time comprise the power-on time of the unit, the current setting of the temperature and the settable range of the cold-carrying medium, the setting value and the settable range of the freezing prevention protection temperature, the current lowest temperature of the cold-carrying medium, the matching risk value of the cold-carrying medium, the type of the cold-carrying medium, the current refrigeration mode, the temperature change curve of the cold-carrying medium and the refrigeration power curve of the compressor. Further, the largest matching risk value of the cold carrying medium is taken in each running process and recorded in the rec