A gas vortex refrigeration state regulation method and system

Abstract

The application discloses a gas vortex refrigeration state regulation method and system, which can compensate energy loss and improve refrigeration efficiency, and the method comprises the following steps: step 1: obtaining historical refrigeration data of a refrigerating machine, analyzing the historical refrigeration data of the refrigerating machine, obtaining an energy loss condition in a gas vortex refrigeration process of the refrigerating machine, and calculating an energy regulation coefficient; and step 2: obtaining gas vortex refrigeration parameters according to the energy regulation coefficient, and compensating the energy loss in the gas vortex refrigeration process of the refrigerating machine, which belongs to the technical field of gas vortex refrigeration.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of gas vortex refrigeration, more specifically, relates to a gas vortex refrigeration state regulation method and system. BACKGROUND

[0002] The working principle of vortex tube technology is to use high-pressure fluid to enter the vortex tube, then reduce the pressure and increase the speed at the nozzle, and then rotate at high speed in the vortex chamber. In the rotation process, the gas flow is divided into two parts: one part is located in the center and the temperature is reduced to form a cold gas flow; the other part is located in the outer layer and the temperature is increased to form a hot gas flow. By adjusting the hot end control valve, the ratio of cold and hot gas flow can be changed to obtain different refrigeration or heating effects.

[0003] With the continuous updating and increasing complexity of electronic devices, the thermal management of chips has become a key issue. Effective thermal management can ensure that the chip does not cause performance degradation or damage due to overheating when running at high performance, especially in high-power density and high-frequency applications. Chip packaging needs to have good heat dissipation performance. In some special applications such as quantum computing, superconducting materials and high-sensitivity sensors, the chip is required to work in an extremely low-temperature environment to achieve higher performance and sensitivity. Gas vortex refrigeration is a highly efficient refrigeration method that transfers heat energy through the vortex motion of gas, has high refrigeration efficiency and flexibility, and is suitable for complex cooling requirements, especially in chip packaging.

[0004] However, the traditional refrigeration system often cannot accurately identify the energy loss in the gas vortex refrigeration process, resulting in low refrigeration efficiency. In addition, the monitoring of the temperature of the refrigeration machine in the prior art lacks real-time performance, resulting in temperature fluctuations that cannot be responded to in a timely manner, affecting the stability of the equipment. Many refrigeration schemes do not manage the temperature distribution of the chip in detail, resulting in the appearance of hot spots or cold spots, affecting the performance of the chip, and lack of flexible refrigeration regulation strategies to optimize and adjust for different environments and states. SUMMARY

[0005] The main purpose of the present application is to provide a gas vortex refrigeration state regulation method and system, which can compensate for energy loss, improve refrigeration efficiency, monitor and adjust the operating state of the refrigeration machine in real time, and stabilize the refrigeration temperature.

[0006] According to the first aspect of the present application, a gas vortex refrigeration state regulation method is provided, comprising the following steps:

[0007] Step 1: Obtain the historical refrigeration data of the refrigeration machine, analyze the historical refrigeration data of the refrigeration machine, obtain the energy loss status in the gas vortex refrigeration process of the refrigeration machine, and calculate the energy adjustment coefficient;

[0008] Step 2: Obtain the gas vortex refrigeration parameters according to the energy adjustment coefficient to compensate for the energy loss in the gas vortex refrigeration process of the refrigerator.

[0009] In the above gas vortex refrigeration state regulation method, steps 3 and 4 are further included.

[0010] Step 3: The refrigerator receives the gas vortex refrigeration parameters and executes to obtain the current operating data of the refrigerator, searches for the current stability temperature threshold of the refrigerator in the historical refrigerator operating data based on the current operating data of the refrigerator, and obtains the current stability temperature threshold of the refrigerator.

[0011] Step 4: Based on the current stability temperature threshold of the refrigerator, the gas vortex refrigeration of the refrigerator is monitored, and when the refrigeration temperature is lower than the stability temperature threshold, the first refrigeration regulation strategy is triggered.

[0012] In the above gas vortex refrigeration state regulation method, step 5 is further included: based on the historical temperature distribution information and the chip structure information, the chip is monitored and divided into regions, and the real-time temperature of each region of the divided chip is monitored.

[0013] Based on the real-time temperature monitoring of each region of the chip, temperature change data of each region of the chip is obtained, whether there is a chip region with uneven temperature distribution is identified through the temperature change data of each region of the chip, and if so, the second refrigeration regulation strategy is triggered.

[0014] In the above gas vortex refrigeration state regulation method, the refrigerator historical refrigeration data includes refrigeration friction data, vortex data and refrigeration efficiency data.

[0015] The refrigeration friction data includes compressor friction torque and turbine friction coefficient.

[0016] The vortex data includes vortex temperature difference and vortex frequency.

[0017] The refrigeration efficiency data includes refrigeration capacity and input power.

[0018] The refrigerator historical refrigeration data includes multiple refrigeration records, and the step 1 includes the following specific steps:

[0019] Step 11: Obtain the energy loss of the refrigerator historical refrigeration record of this time from the difference between the refrigeration capacity and the input power in the refrigeration efficiency data of this time.

[0020] Step 12: Based on the energy loss and the compressor friction torque, the turbine friction coefficient, the vortex temperature difference and the vortex frequency corresponding to each refrigeration record, analyze to obtain the linear coefficient between the compressor friction torque, the turbine friction coefficient, the vortex temperature difference and the vortex frequency and the energy loss. The linear coefficient is the energy adjustment coefficient. The expression of the energy adjustment coefficient is:

[0021]

[0022] wherein σ represents an energy adjustment coefficient, j represents a historical refrigeration record number, j = 1, 2, 3...m, m represents a total number of historical refrigeration records, β 1j , β 2j respectively represent an input power and a refrigeration capacity of the jth historical refrigeration record, α 1j , α 2j , α 3j , α 4j respectively represent a compressor friction torque, a turbine friction coefficient, a vortex temperature difference and a vortex frequency of the jth historical refrigeration record, c1, c2, c3, c4 respectively represent weight values corresponding to the compressor friction torque, the turbine friction coefficient, the vortex temperature difference and the vortex frequency.

[0023] In the gas vortex refrigeration state regulation method described above, in step 2, the gas vortex refrigeration expected effect parameter is first obtained, and the gas vortex refrigeration parameter is obtained according to the gas vortex refrigeration expected effect parameter and the energy adjustment coefficient, and the expression of the gas vortex refrigeration parameter is:

[0024]

[0025] wherein η Q represents the gas vortex refrigeration parameter, η Q ’ represents the gas vortex refrigeration expected effect parameter, and σ represents the energy adjustment coefficient.

[0026] In the gas vortex refrigeration state regulation method described above, in step 3, the current refrigeration machine running data includes current refrigeration machine running environment data and current refrigeration machine running state data.

[0027] The current refrigeration machine running environment data specifically includes atmospheric pressure and temperature.

[0028] The current refrigeration machine running state data specifically includes refrigeration machine flow and compressor load.

[0029] The step 3 includes the following specific steps:

[0030] Step 31: According to the current refrigeration machine running data, the historical refrigeration machine running record containing the current atmospheric pressure, temperature, refrigeration machine flow and compressor load of the refrigeration machine is searched out from the historical refrigeration machine running data.

[0031] Step 32: The energy efficiency ratio and the refrigeration machine vibration frequency of each monitoring time node in each historical refrigeration machine running record are obtained.

[0032] Step 33: generating an energy efficiency ratio change line graph and a chiller vibration frequency line graph of each historical chiller operation record based on the energy efficiency ratio and the chiller vibration frequency of each monitoring time node in each historical chiller operation record;

[0033] Step 34: obtaining offset points in the energy efficiency ratio change line graph and the chiller vibration frequency line graph of each historical chiller operation record based on the energy efficiency ratio change line graph and the chiller vibration frequency line graph of each historical chiller operation record;

[0034] Step 35: screening the offset points, and screening the offset points that occur offset at the same monitoring time node in the energy efficiency ratio change line graph and the chiller vibration frequency line graph;

[0035] Step 36: obtaining the temperature of the monitoring time node corresponding to the screened offset points of each historical chiller operation record, and taking the average value of the temperature of the monitoring time node corresponding to the screened offset points of each historical chiller operation record as the stability temperature threshold of the chiller.

[0036] In the above gas vortex refrigeration state regulation method, the first refrigeration regulation strategy includes at least one of adjusting refrigerant flow, adjusting compressor operation state, enabling recirculation mode, performing condenser adjustment, and load switching.

[0037] In the above gas vortex refrigeration state regulation method, in step 5, the temperature change rate of each region and the temperature difference between adjacent regions are obtained based on the temperature change data of each region of the chip.

[0038] The preset temperature change rate threshold and temperature difference threshold are compared with the temperature change rate of each region and the temperature difference between adjacent regions, respectively, and when the temperature change rate exceeds the temperature change rate threshold and the temperature difference between adjacent regions exceeds the temperature difference threshold, the region temperature distribution is marked as uneven, and the second refrigeration regulation strategy is triggered.

[0039] In the above gas vortex refrigeration state regulation method, the second refrigeration regulation strategy specifically includes at least one of local refrigeration strengthening measures, local heat dissipation measures, and regional independent refrigeration strategy.

[0040] According to the second aspect of the present application, a gas vortex refrigeration state regulation system for implementing the method of the first aspect is provided, comprising the following modules:

[0041] A chiller capacity loss analysis module is used to obtain chiller historical refrigeration data, analyze the chiller historical refrigeration data, obtain the energy loss condition in the gas vortex refrigeration process of the chiller, and calculate an energy adjustment coefficient;

[0042] The refrigeration parameter setting module obtains the gas vortex refrigeration parameter according to the energy regulation coefficient, and compensates the energy loss in the gas vortex refrigeration process of the refrigerator;

[0043] The refrigerator stability prediction module obtains the current operation data of the refrigerator, searches the historical refrigerator operation data through the current operation data of the refrigerator, and obtains the current stability temperature threshold of the refrigerator;

[0044] The refrigeration temperature monitoring and control module monitors the gas vortex refrigeration of the refrigerator based on the current stability temperature threshold of the refrigerator, and executes the first refrigeration control strategy when the monitored refrigeration temperature is lower than the stability temperature threshold;

[0045] The chip monitoring area division module divides the chip into monitoring areas based on the historical temperature distribution information and the chip structure information of the chip;

[0046] The chip temperature monitoring and control module monitors the temperature of each region of the divided chip in real time, obtains the temperature change data of each region of the chip based on the real-time temperature monitoring of each region of the chip, identifies whether there is a chip region with uneven temperature distribution through the temperature change data of each region of the chip, and executes the second refrigeration control strategy if there is.

[0047] The above technical solution of the present application has at least one of the following advantages or beneficial effects:

[0048] In the present application, by analyzing the historical refrigeration data and identifying the energy loss condition, the refrigeration parameters can be dynamically adjusted and the refrigeration process can be optimized, the overall refrigeration efficiency can be improved, and the energy consumption can be reduced;

[0049] At the same time, the running state of the refrigerator can be monitored and adjusted in real time to ensure that the refrigeration temperature is maintained above the stability temperature threshold, avoiding the performance degradation of the refrigerant or unstable cooling effect due to too low temperature, and thus protecting the normal operation of the equipment;

[0050] In addition, by using the historical temperature distribution information and structure information of the chip to divide the regions, the temperature change of each region can be more accurately monitored, the regions with uneven temperature distribution can be identified in time, the refrigeration strategy can be dynamically adjusted, the flexibility is good, and the intelligent monitoring capability of the chip state is enhanced. BRIEF DESCRIPTION OF DRAWINGS

[0051] The present application will be further described below in conjunction with the drawings and examples;

[0052] Figure 1 is a flowchart of the gas vortex refrigeration state regulation method of the present application;

[0053] Figure 2 is a schematic diagram of the gas vortex refrigeration state regulation system of the present application. DETAILED DESCRIPTION

[0054] Embodiments of the present application are described in detail below with reference to the attached drawing figures, wherein the same or like reference numerals and characters throughout the figures denote the same or like elements or components, which detailed description is only exemplary and not intended to limit the present application.

[0055] The present application utilizes historical refrigeration data of the refrigeration machine to analyze, identify the energy loss condition in the refrigeration process, and calculate the energy regulation coefficient. According to the obtained energy regulation coefficient, the gas vortex refrigeration parameters are adjusted, the energy loss is compensated, so that the refrigeration machine can optimize its performance under different working conditions and improve the refrigeration efficiency.

[0056] At the same time, by collecting the current operating environment data and state data of the refrigeration machine, and retrieving historical data to identify the current stability temperature threshold, the refrigeration temperature is monitored in real time on this basis to ensure that it is maintained within the stable range.

[0057] In addition, according to the historical temperature distribution and structure information of the chip, the monitoring area is divided to ensure that the temperature change of each area of the chip can be accurately monitored, and the situation of uneven temperature distribution is helped to be identified. Once it is monitored that the refrigeration temperature is lower than the stability temperature threshold, or the temperature of the chip area is uneven, the corresponding refrigeration control strategy is triggered immediately. The first refrigeration control strategy is for the performance adjustment of the overall refrigeration machine, and the second refrigeration control strategy is for the temperature adjustment of the chip, so as to realize efficient and stable control of the refrigeration machine and the chip, improve the refrigeration effect, reduce energy consumption, and ensure safe operation of the equipment.

[0058] Referring to Figure 1 A gas vortex refrigeration state control method, comprising the following steps:

[0059] Step 1: Obtain the historical refrigeration data of the refrigeration machine, and then analyze the historical refrigeration data of the refrigeration machine to identify the energy loss condition in the gas vortex refrigeration process of the refrigeration machine, and obtain the energy regulation coefficient;

[0060] The historical refrigeration data of the refrigeration machine specifically includes refrigeration friction data, vortex data and refrigeration efficiency data;

[0061] The refrigeration friction data specifically includes compressor friction torque and turbine friction coefficient; the compressor friction torque represents the torque generated by friction during the operation of the compressor, and the greater the friction torque, the higher the energy loss; the rotation of the compressor is monitored in real time by a sensor, and the friction torque is calculated in combination with data such as current and speed, or is obtained by statistical acquisition from historical operation records; in the embodiment, the compressor is generally a turbine compressor, and the turbine friction coefficient represents the friction coefficient between the gas flow and the turbine components in the turbine compressor, including the friction between the gas and the turbine blades and other components, which affects the performance, efficiency and energy consumption of the compressor; the performance data of the turbine compressor are obtained by testing, or the flow of gas in the turbine is simulated by using computational fluid dynamics (CFD) software to estimate the friction coefficient; the friction coefficient can also be derived by comparative analysis according to the existing experimental data and empirical formula;

[0062] The vortex data specifically includes vortex temperature difference and vortex frequency; the vortex temperature difference represents the heat energy conversion and dissipation of the gas during the vortex flow process, and reflects the relationship between the input energy and the actual output refrigeration effect in the vortex refrigeration process; the temperature sensors are installed at the inlet and outlet positions of the vortex tube to record the gas temperature before and after the vortex in real time, and then the vortex temperature difference is calculated; the vortex frequency represents the oscillation frequency of the gas vortex in the refrigeration system, which is related to the vortex intensity and stability; the dynamic data of the vortex are collected by the flow sensor and the vibration sensor, and are analyzed to obtain the vortex frequency by using an algorithm;

[0063] The refrigeration efficiency data specifically includes refrigeration capacity and input power; the refrigeration capacity represents the refrigeration capacity provided by the refrigeration machine per unit time, and is measured in kilowatts; the refrigeration capacity is determined by real-time calculation of the flow and temperature change of the refrigerant by using a flowmeter and a temperature sensor; the input power represents the electric energy consumed by the refrigeration machine during operation, and is measured in kilowatts; the electric energy consumption of the equipment is monitored in real time by using a current sensor and a voltage sensor;

[0064] The refrigeration machine historical refrigeration data have multiple refrigeration records, specifically including the following steps:

[0065] Step 11: The energy loss amount of the refrigeration machine historical refrigeration record is obtained by the difference between the refrigeration capacity and the input power in the refrigeration efficiency data;

[0066] Step 12: Based on the energy loss amount and the compressor friction torque, the turbine friction coefficient, the vortex temperature difference and the vortex frequency corresponding to each refrigeration record, the linear coefficient between the compressor friction torque, the turbine friction coefficient, the vortex temperature difference and the vortex frequency and the energy loss amount is identified, and the linear coefficient is marked as the energy adjustment coefficient; the energy adjustment coefficient is specifically obtained as follows:

[0067]

[0068] wherein σ represents an energy adjustment coefficient, j represents a historical refrigeration record number, j = 1, 2, 3... m, m represents a total number of historical refrigeration records, β 1j , β 2j respectively represent an input power and a refrigeration capacity of the jth historical refrigeration record, α 1j , α 2j , α 3j , α 4j respectively represent a compressor friction torque, a turbine friction coefficient, a vortex temperature difference and a vortex frequency of the jth historical refrigeration record, c1, c2, c3, c4 respectively represent weight values corresponding to the compressor friction torque, the turbine friction coefficient, the vortex temperature difference and the vortex frequency;

[0069] The weights need to be set according to actual conditions. Specifically, the compressor friction torque is one of the important factors that causes energy loss, mainly from the friction of components such as bearings and seals. These frictions will consume energy and convert it into heat, resulting in energy loss. The setting of the weight value needs to consider the type of compressor (such as centrifugal compressor, scroll compressor, etc.), operating conditions (such as load, speed, etc.), and maintenance conditions (such as lubrication, component wear, etc.); the turbine friction coefficient reflects the performance, efficiency and energy consumption of the compressor. A smaller friction coefficient means lower energy loss and higher transmission efficiency. The setting of the weight value needs to consider factors such as the type, material, lubrication method and working conditions of the turbine, for example, in worm gear transmission, the size of the friction coefficient will directly affect the transmission efficiency and the quality of transmission, so its weight value should be set higher; the vortex temperature difference will cause heat exchange and energy loss inside the vortex. The setting of the weight value needs to consider factors such as the type, flow rate, temperature distribution and system thermal efficiency of the vortex. For systems that need to maintain high temperature and high pressure operation, the weight value of the vortex temperature difference should be set higher; the high or low of the vortex frequency will affect the stability and energy loss of the vortex. High-frequency vortexes can cause higher energy loss and component wear. The setting of the weight value needs to consider factors such as the type, flow rate, system stability and component material of the vortex. For systems that need to maintain high stability and low wear, the weight value of the vortex frequency should be set higher.

[0070] Step 2: Obtain the gas vortex refrigeration parameters based on the energy adjustment coefficient to compensate for the energy loss in the gas vortex refrigeration process of the refrigeration machine;

[0071] Specifically, the gas vortex refrigeration expected effect parameter is first obtained, which represents the refrigeration performance index expected to be achieved under ideal conditions. Based on the thermodynamic principle, the expected refrigeration effect is calculated using a thermodynamic cycle model, or the actual refrigeration effect under actual operating conditions is obtained from laboratory tests. By comparing the performance under different operating conditions, the expected effect is determined. Numerical simulation tools such as CFD or thermodynamic simulation software can also be used to simulate the refrigeration process under different operating conditions, and the results obtained are analyzed.

[0072] Based on the analysis of the gas vortex refrigeration expected effect parameter and the energy regulation coefficient, the gas vortex refrigeration parameter is obtained, and the specific expression of the gas vortex refrigeration parameter is as follows:

[0073] wherein η Q represents the gas vortex refrigeration parameter, η Q ' represents the gas vortex refrigeration expected effect parameter.

[0074] By analyzing the gas vortex refrigeration expected effect through the energy regulation coefficient, the appropriate gas vortex refrigeration parameter is obtained to achieve the best refrigeration effect, compensate for the energy loss in the gas vortex refrigeration process, effectively improve the overall energy efficiency of the refrigeration machine, reduce energy consumption, and thus reduce operating costs. By optimizing the operating parameters of the gas vortex, mechanical wear caused by unstable operation can be reduced, the service life of the equipment can be extended, and maintenance and replacement costs can be reduced. Not only does it reduce energy consumption, but it also reduces the burden on the environment, meeting the requirements of modern industry for sustainable development.

[0075] Step 3: After receiving the gas vortex refrigeration parameter, identify the current refrigeration machine operating data, which includes the current refrigeration machine operating environment data and the current refrigeration machine operating state data. Through the current refrigeration machine operating data, search in the historical refrigeration machine operating data to identify the current stability temperature threshold of the refrigeration machine.

[0076] The current refrigeration machine operating environment data specifically includes atmospheric pressure and temperature, and the current refrigeration machine operating state data specifically includes refrigeration machine flow and compressor load.

[0077] The specific steps include:

[0078] Step 31: According to the current refrigeration machine operating data, search in the historical refrigeration machine operating data to obtain the historical refrigeration machine operating record containing the current refrigeration machine operating data, i.e. the fluctuation range of atmospheric pressure, the fluctuation range of temperature, the fluctuation range of refrigeration machine flow and the fluctuation range of compressor load in the historical refrigeration machine operating record respectively contain the current atmospheric pressure, temperature, refrigeration machine flow and compressor load of the refrigeration machine;

[0079] Step 32: Obtain the energy efficiency ratio and the refrigeration machine vibration frequency of each monitoring time node in each historical refrigeration machine operation record;

[0080] Step 33: Generate the energy efficiency ratio change line chart and the refrigeration machine vibration frequency line chart of each historical refrigeration machine operation record based on the energy efficiency ratio and the refrigeration machine vibration frequency of each monitoring time node in each historical refrigeration machine operation record;

[0081] Step 34: Identify the offset points in the energy efficiency ratio change line chart and the refrigeration machine vibration frequency line chart of each historical refrigeration machine operation record based on the energy efficiency ratio change line chart and the refrigeration machine vibration frequency line chart of each historical refrigeration machine operation record;

[0082] Step 35: Screen the offset points, and screen out the offset points that occur at the same monitoring time node in the energy efficiency ratio change line chart and the refrigeration machine vibration frequency line chart;

[0083] Step 36: Obtain the temperature of the monitoring time node corresponding to the screened offset points of each historical refrigeration machine operation record, and take the average value of the temperature of the monitoring time node corresponding to the screened offset points of each historical refrigeration machine operation record as the current stability temperature threshold of the refrigeration machine.

[0084] In the embodiment, the atmospheric pressure refers to the pressure condition in the current environment, which is obtained by real-time monitoring through an air pressure sensor; the temperature is obtained by monitoring the outside temperature or the temperature of the refrigerant through a temperature sensor; the refrigeration machine flow refers to the flow amount of the refrigerant in the refrigeration circuit, which is obtained by monitoring through a flow meter or a flow sensor; the compressor load refers to the current working load of the compressor, which is obtained by monitoring through a power meter or a load sensor on the compressor; the energy efficiency ratio represents the refrigeration amount generated by the refrigeration system per unit input power, which is obtained by real-time calculation through input power and refrigeration amount sensors; and the refrigeration machine vibration frequency represents the mechanical vibration frequency of the refrigeration machine in the running process, which is obtained by monitoring through an acceleration sensor or a vibration sensor.

[0085] In the embodiment, the specific way of identifying the offset points is as follows: a line chart is generated through the data of the historical refrigeration machine operation record, the line chart represents the change trend of the energy efficiency ratio and the vibration frequency with time, and the offset point refers to the node that occurs obvious change in the energy efficiency ratio or vibration frequency line chart, which can be manifested as the sudden rise or fall of the curve, indicating that the system enters an abnormal state or efficiency decreases; further, the offset points that occur change in the energy efficiency ratio and the vibration frequency at the same monitoring time node are screened out, which indicates that the running state of the time node is significantly different from the normal state; and the average value of the temperatures corresponding to the screened offset points is calculated as the current stability temperature threshold of the refrigeration machine according to the historical temperature records of the screened offset points.

[0086] Step 4: Monitor the refrigeration gas vortex refrigeration based on the current stability temperature threshold of the refrigerator, and trigger the first refrigeration control strategy when the refrigeration temperature is lower than the stability temperature threshold;

[0087] The first refrigeration control strategy specifically includes at least one of adjusting refrigerant flow, adjusting compressor operating state, enabling recirculation mode, performing condenser adjustment, and load switching;

[0088] Adjusting refrigerant flow: dynamically adjust the flow of refrigerant in the system by controlling valves or electronic expansion valves, when the temperature of the system approaches the stability threshold, control the refrigerant flow to keep the temperature within the stable range;

[0089] Adjusting the operating state of the compressor: according to the current temperature threshold and load demand of the refrigerator, adjust the operating speed or power of the compressor, adjust the speed of the variable frequency compressor, or switch the working mode of the compressor to achieve, when the temperature is lower than the threshold, reduce the operating frequency of the compressor or shut down part of the compressor to reduce the refrigeration capacity;

[0090] Enable recirculation mode: Recirculation mode refers to the process of re-introducing part of the low-temperature gas into the system under certain conditions to reduce energy loss and improve refrigeration efficiency. By controlling the bypass valve or gas distribution device in the system, when the temperature is detected to be too low, activate the recirculation mode, reduce the refrigeration load, and prevent the temperature from falling too much. It can reduce the direct loss of refrigerant and improve the overall energy efficiency of the system when the energy loss is large or the load is low;

[0091] Condenser adjustment: Adjust the condensing effect by adjusting the cooling fan speed or water flow rate of the condenser to adjust the heat exchange efficiency in the system. When the refrigeration temperature is lower than the stability threshold, reduce the cooling capacity of the condenser (such as reducing the fan speed or reducing the cooling water flow), reduce the refrigeration power, and optimize the working state of the condenser. It can effectively regulate the overall efficiency of the refrigeration system and ensure stable operation under different environmental conditions;

[0092] Load switching: When the system is overloaded or the load demand changes, different refrigeration loads can be switched to balance the system operation, such as distributing cooling load to different cooling circuits or refrigeration areas, or enabling or disabling standby refrigeration units for load switching. When the temperature is lower than the threshold, reduce the load of the refrigeration unit.

[0093] By analyzing the fluctuation range and energy efficiency ratio, vibration frequency in historical operation data, the stability temperature threshold of the refrigeration system can be accurately identified, ensuring that the system always operates under optimal working conditions, avoiding performance degradation or loss caused by temperature fluctuations; by analyzing and screening the changes in energy efficiency ratio and vibration frequency, potential abnormalities can be detected in advance, avoiding energy loss caused by unstable operating conditions, thereby improving the overall operating efficiency of the refrigeration system; by monitoring the offset point, the abnormal state of the equipment can be identified in advance, and effective preventive maintenance can be performed, thereby reducing the probability of equipment failure, prolonging the service life of the equipment, and reducing maintenance costs; based on the current environmental and operating state data, the refrigeration strategy is adjusted in real time to ensure efficient operation of the system under different conditions, avoiding negative effects caused by changes in environmental conditions.

[0094] Step 5: While monitoring the gas vortex refrigeration of the refrigerator, the chip is divided into monitoring regions based on historical temperature distribution information and chip structure information, and real-time temperature monitoring is performed on each region of the divided chip; based on the real-time temperature monitoring of each region of the chip, temperature change data of each region of the chip is obtained, and the chip region with uneven temperature distribution is identified through the temperature change data of each region of the chip, thereby triggering a second refrigeration control strategy;

[0095] The chip is pre-tested at low temperature to obtain historical temperature distribution information of each low temperature test, and the historical temperature distribution information of the chip is specifically historical temperature distribution points of the chip, i.e. temperature distribution at the same time node of the chip under each low temperature test; the chip is divided into temperature regions based on the historical temperature distribution information of the chip, and the specific temperature region division includes chip hot spot region, chip cold spot region and chip temperature fluctuation region; the chip structure information is specifically the material composition of the chip, and the chip is divided into material regions according to the material composition of the chip based on the chip structure information, and each material region has only one material composition; combining the temperature region division and material region division of the chip, the monitoring region division of the chip is specifically that each region only contains the same temperature region and material region;

[0096] By combining the temperature distribution information of the chip and the chip structure information, the chip is finely monitored and divided into regions, which can more accurately identify the temperature changes and structural characteristics of different regions of the chip, ensuring that the monitoring results of each region are accurate and reliable; different materials have different reactions at different temperatures, and by dividing the material regions and temperature regions, the abnormal points or fault regions that may occur in the chip can be better found and located, especially the temperature hotspots, cold spots and temperature fluctuation regions, which can help to early warning of chip failure; the hotspot regions and cold spot regions of the chip have different heat dissipation needs, and the fine regional division can make the refrigeration strategy more targeted, effectively reducing unnecessary energy consumption, and thus improving the refrigeration efficiency; through continuous monitoring and regulation of key regions, the temperature fluctuation of the chip can be better managed, reducing performance degradation or component damage caused by overheating or uneven temperature, and prolonging the service life of the chip; since each region is divided based on different temperatures and materials, customized control strategies can be implemented for temperature changes in different regions, thereby improving the flexibility and adaptability of the system;

[0097] Based on the temperature change data of each region of the chip, the temperature change rate of each region and the temperature difference between adjacent regions are obtained; a temperature change rate threshold and a temperature difference threshold are preset, and then the temperature change rate of each region and the temperature difference between adjacent regions are compared with the temperature change rate threshold and the temperature difference threshold respectively, when the temperature change rate exceeds the temperature change rate threshold and the temperature difference between adjacent regions exceeds the temperature difference threshold, the temperature distribution of the region is marked as uneven, triggering the second refrigeration regulation strategy.

[0098] The second refrigeration regulation strategy specifically includes at least one of local refrigeration strengthening measures, local heat dissipation measures and regional independent refrigeration strategies.

[0099] Local refrigeration strengthening measures: for regions with excessively high temperature, the cooling agent flow rate of the region is increased or the power of the local refrigeration fan is increased to strengthen heat dissipation, the gas flow rate or pressure in the gas vortex refrigeration system is adjusted to provide additional refrigeration compensation to the region with higher temperature, and local refrigeration fins or heat-conducting materials can also be used to assist heat conduction to rapidly cool the overheated region;

[0100] Local heat dissipation measures: for regions with lower temperature, local heat dissipation measures can avoid excessively low temperature or local condensation by increasing heat conduction, heat fins or heat pipe technology can be used to conduct heat from the low-temperature region to the region with higher temperature for balanced heat dissipation, and the power of the local heat sink can also be controlled to reduce the cooling effect of the region to ensure temperature balance;

[0101] Regional independent refrigeration strategy: the chip is divided into multiple independent refrigeration regions, and the temperature demand of different regions is individually regulated. Each region can independently adjust the refrigeration intensity or heat dissipation capacity according to its temperature state.

[0102] By monitoring the temperature changes of each region of the chip in real time and identifying the regions with uneven temperature distribution based on the set threshold, the chip temperature abnormal region can be located more quickly and accurately, avoiding performance degradation or failure caused by local overheating or insufficient heat dissipation. Compared with the traditional overall refrigeration method, when there is a local temperature anomaly, targeted regulation can be implemented to avoid unnecessary global refrigeration, thereby reducing energy consumption and improving refrigeration efficiency. By adjusting the heat dissipation or refrigeration of the region with uneven temperature in a timely manner, damage to the chip caused by excessively high or low temperature can be avoided, thereby prolonging the service life of the chip and maintaining its stable operating state.

[0103] Reference Figure 2 According to the second aspect of the present application, a gas vortex refrigeration state regulation system is provided, comprising the following modules:

[0104] Refrigerator capacity loss analysis module 1: used to obtain historical refrigeration data of the refrigerator, analyze the historical refrigeration data of the refrigerator, obtain the energy loss status in the gas vortex refrigeration process of the refrigerator, and calculate the energy regulation coefficient;

[0105] Refrigeration parameter setting module 2: obtains the gas vortex refrigeration parameters according to the energy regulation coefficient, and compensates for the energy loss in the gas vortex refrigeration process of the refrigerator;

[0106] Refrigerator stability prediction module 3: obtains current operation data of the refrigerator, searches in historical refrigerator operation data through the current operation data of the refrigerator, and obtains the current stability temperature threshold of the refrigerator;

[0107] Refrigeration temperature monitoring and regulation module 4: monitors the gas vortex refrigeration of the refrigerator based on the current stability temperature threshold of the refrigerator, and executes the first refrigeration regulation strategy when the refrigeration temperature is lower than the stability temperature threshold;

[0108] Chip monitoring region division module 5: divides the chip into monitoring regions based on the historical temperature distribution information and the chip structure information of the chip;

[0109] Chip temperature monitoring and regulation module 6: performs real-time temperature monitoring on each region of the divided chip; obtains temperature change data of each region of the chip based on the real-time temperature monitoring of each region of the chip, identifies whether there is a chip region with uneven temperature distribution through the temperature change data of each region of the chip, and executes the second refrigeration regulation strategy if there is.

[0110] While the embodiments of the application have been shown and described, it is to be understood that the embodiments can be varied, modified, substituted and otherwise changed by those skilled in the art without departing from the principles and spirit of the application. It is therefore intended that this application not be limited to the particular embodiments disclosed, but that the application will include all embodiments falling within the scope of the appended claims and their equivalents.

Claims

1. A method of gas vortex refrigeration state regulation, characterized in that, The method comprises the following steps: Step 1: obtaining historical refrigeration data of the refrigeration machine, and analyzing the historical refrigeration data to obtain energy loss conditions in a gas vortex refrigeration process of the refrigeration machine, and calculating an energy adjustment coefficient; The historical refrigeration data of the refrigeration machine comprises refrigeration friction data, vortex data and refrigeration efficiency data; The refrigeration friction data comprises compressor friction torque and turbine friction coefficient; The vortex data comprises vortex temperature difference and vortex frequency; The refrigeration efficiency data comprises refrigeration capacity and input power; The historical refrigeration data of the refrigeration machine comprises multiple refrigeration records, and the step 1 comprises the following specific steps: Step 11: obtaining energy loss of the historical refrigeration record of the refrigeration machine in this refrigeration by the difference between the refrigeration capacity and the input power in the refrigeration efficiency data; Step 12: analyzing the energy loss and the compressor friction torque, the turbine friction coefficient, the vortex temperature difference and the vortex frequency corresponding to each refrigeration record to obtain a linear coefficient between the compressor friction torque, the turbine friction coefficient, the vortex temperature difference, the vortex frequency and the energy loss, and the linear coefficient is the energy adjustment coefficient; and the energy adjustment coefficient is expressed as: ， In the formula represents the energy regulation coefficient, j represents the historical refrigeration record number, j = 1, 2, 3...m, m represents the total number of historical refrigeration records, and β 1j , β 2j respectively represent the input power and the refrigeration capacity of the jth historical refrigeration record, and α 1j , α 2j , α 3j , α 4j respectively represent the compressor friction torque, the turbine friction coefficient, the eddy current temperature difference, and the eddy current frequency of the jth historical refrigeration record, and c1, c2, c3, and c4 respectively represent the weight values corresponding to the compressor friction torque, the turbine friction coefficient, the eddy current temperature difference, and the eddy current frequency. Step 2: obtaining gas vortex refrigeration parameters according to the energy adjustment coefficient to compensate for energy loss in the gas vortex refrigeration process of the refrigeration machine; First, obtain gas vortex refrigeration expected effect parameters, and then obtain gas vortex refrigeration parameters according to the gas vortex refrigeration expected effect parameters and the energy adjustment coefficient; and the gas vortex refrigeration parameters are expressed as: ， where η Q represents the gas vortex refrigeration parameter, η Q ' represents the gas vortex refrigeration expected effect parameter, represents the energy adjustment coefficient.

2. The gas eddy current refrigeration state regulation method according to claim 1, characterized in that, Further comprising steps 3 and 4; Step 3: the refrigeration machine receives the gas vortex refrigeration parameters and executes, obtains current operation data of the refrigeration machine, searches the historical refrigeration machine operation data by the current operation data of the refrigeration machine to obtain a current stability temperature threshold of the refrigeration machine; Step 4: monitoring the gas vortex refrigeration of the refrigeration machine based on the current stability temperature threshold of the refrigeration machine, and triggering a first refrigeration control strategy when the refrigeration temperature is lower than the stability temperature threshold.

3. The gas eddy current refrigeration state regulation method of claim 2, wherein, Further comprising step 5: dividing a monitoring area of the chip based on historical temperature distribution information and chip structure information of the chip, and monitoring real-time temperatures of each area of the divided chip; Obtaining temperature change data of each area of the chip based on the real-time temperature monitoring of each area of the chip, identifying whether there is a chip area with uneven temperature distribution through the temperature change data of each area of the chip, and triggering a second refrigeration control strategy if there is.

4. The gas eddy current refrigeration state regulation method of claim 2, wherein, In step 3, the current operation data of the refrigeration machine comprises current operation environment data and current operation state data of the refrigeration machine; The current operation environment data of the refrigeration machine specifically comprises atmospheric pressure and temperature; The current operation state data of the refrigeration machine specifically comprises refrigeration machine flow and compressor load; The step 3 comprises the following specific steps: Step 31: searching historical refrigeration machine operation records containing the current atmospheric pressure, temperature, refrigeration machine flow and compressor load of the refrigeration machine in the historical refrigeration machine operation data according to the current operation data of the refrigeration machine; Step 32: obtaining energy efficiency ratio and refrigeration machine vibration frequency of each monitoring time node in each historical refrigeration machine operation record; Step 33: Based on the energy efficiency ratio and the refrigeration machine vibration frequency of each monitoring time node in each historical refrigeration machine operation record, generate an energy efficiency ratio change line chart and a refrigeration machine vibration frequency line chart of each historical refrigeration machine operation record respectively; Step 34: Based on the energy efficiency ratio change line chart and the refrigeration machine vibration frequency line chart of each historical refrigeration machine operation record, obtain the offset points in the energy efficiency ratio change line chart and the refrigeration machine vibration frequency line chart of each historical refrigeration machine operation record; Step 35: Screen the offset points, and screen out the offset points that occur at the same monitoring time node in the energy efficiency ratio change line chart and the refrigeration machine vibration frequency line chart; Step 36: Obtain the temperature of the monitoring time node corresponding to the screened offset points of each historical refrigeration machine operation record, and take the average value of the temperature of the monitoring time node corresponding to the screened offset points of each historical refrigeration machine operation record as the current stability temperature threshold of the refrigeration machine.

5. The gas eddy current refrigeration state regulation method of claim 2, wherein, The first refrigeration control strategy includes at least one of adjusting refrigerant flow, adjusting compressor operating state, enabling recirculation mode, performing condenser adjustment, and load switching.

6. The gas eddy current refrigeration state regulation method of claim 3, wherein, In step 5, based on the temperature change data of each region of the chip, the temperature change rate of each region and the temperature difference between adjacent regions are obtained; The preset temperature change rate threshold and temperature difference threshold are compared with the temperature change rate of each region and the temperature difference between adjacent regions respectively, and when the temperature change rate exceeds the temperature change rate threshold and the temperature difference between adjacent regions exceeds the temperature difference threshold, the region temperature distribution is marked as uneven, and the second refrigeration control strategy is triggered.

7. The gas eddy current refrigeration state regulation method according to claim 3 or 6, characterized by, The second refrigeration control strategy specifically includes at least one of local refrigeration strengthening measures, local heat dissipation measures, and regional independent refrigeration strategy.

8. A gas vortex refrigeration state regulation system for implementing the method according to any one of claims 1 to 7, characterized in that It includes the following modules: Refrigeration machine capacity loss analysis module: used for obtaining refrigeration machine historical refrigeration data, analyzing the refrigeration machine historical refrigeration data to obtain the energy loss status in the gas vortex refrigeration process of the refrigeration machine, and calculating the energy adjustment coefficient; Refrigeration parameter setting module: obtain the gas vortex refrigeration parameters according to the energy adjustment coefficient, and compensate the energy loss in the gas vortex refrigeration process of the refrigeration machine; Refrigeration machine stability prediction module: obtain the current operation data of the refrigeration machine, search in the historical refrigeration machine operation data through the current operation data of the refrigeration machine, and obtain the current stability temperature threshold of the refrigeration machine; Refrigeration temperature monitoring and control module: based on the current stability temperature threshold of the refrigeration machine, monitor the gas vortex refrigeration of the refrigeration machine, and when the refrigeration temperature is lower than the stability temperature threshold, execute the first refrigeration control strategy; Chip monitoring region division module: based on the historical temperature distribution information and the chip structure information of the chip, divide the chip into monitoring regions; Chip temperature monitoring and control module: real-time temperature monitor each region of the divided chip; based on the real-time temperature monitoring of each region of the chip, obtain the temperature change data of each region of the chip, identify whether there is a chip region with uneven temperature distribution through the temperature change data of each region of the chip, and if so, execute the second refrigeration control strategy.

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