Gas vortex refrigeration state regulation and control method and system

Abstract

The invention discloses a gas vortex refrigeration state regulation and control method and system, and aims to compensate energy loss and improve refrigeration efficiency, the method comprises the following steps: step 1, acquiring historical refrigeration data of a refrigerator, analyzing according to the historical refrigeration data of the refrigerator to obtain an energy loss condition in a gas vortex refrigeration process of the refrigerator, and calculating a gas vortex refrigeration state of the refrigerator; calculating to obtain an energy adjustment coefficient; and 2, gas vortex refrigeration parameters are obtained according to the energy adjustment coefficient, and energy loss in the gas vortex refrigeration process of the refrigerator is compensated.

Description

Technical Field

[0001] The present invention belongs to the technical field of gas vortex refrigeration, and more specifically, relates to a gas vortex refrigeration state control method and system. Background Art

[0002] The working principle of vortex tube technology is to use high-pressure fluid to enter the vortex tube, reduce pressure and increase speed at the nozzle, and then rotate at high speed in the vortex chamber. During the rotation process, the airflow is divided into two parts: one part is located in the center, where the temperature drops, forming a cold airflow; the other part is located in the outer layer, where the temperature rises, forming a hot airflow. By adjusting the hot end control valve, the ratio of cold and hot airflows can be changed, thereby obtaining different cooling or heating effects.

[0003] With the continuous updating of electronic devices and the increase in functional complexity, thermal management of chips has become a key issue. Effective thermal management can ensure that the chip will not suffer performance degradation or damage due to overheating during high-performance operation. 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, chips are required to work in extremely low temperature environments to achieve higher performance and sensitivity. Gas eddy current refrigeration is an efficient refrigeration method that realizes the transfer of heat energy through the eddy motion of gas. It has high refrigeration efficiency and flexibility and is suitable for complex cooling needs, especially in chip packaging.

[0004] However, traditional refrigeration systems often find it difficult to accurately identify energy losses during gas eddy current refrigeration, resulting in low refrigeration efficiency. In addition, in existing technologies, the monitoring of refrigerator temperature lacks real-time performance, resulting in failure to respond to temperature fluctuations in a timely manner, affecting equipment stability. In addition, many refrigeration solutions do not manage the temperature distribution of chips in a detailed manner, resulting in hot spots or cold spots, affecting chip performance. There is a lack of flexible refrigeration control strategies, and optimization and adjustment cannot be performed for different environments and conditions. Summary of the invention

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

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

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

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

[0009] In the above-mentioned gas vortex refrigeration state control method, it also includes steps 3 and 4;

[0010] Step 3: The refrigerator receives and executes the gas vortex refrigeration parameters, 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;

[0011] Step 4: monitor the gas vortex refrigeration of the refrigerator based on the current stability temperature threshold of the refrigerator, and trigger the first refrigeration control strategy when the refrigeration temperature is monitored to be lower than the stability temperature threshold.

[0012] In the above-mentioned gas vortex refrigeration state control method, it also includes step 5: dividing the chip into monitoring areas based on the historical temperature distribution information of the chip and the chip structure information, and performing real-time temperature monitoring on each divided chip area;

[0013] Based on real-time temperature monitoring of each area of ​​the chip, temperature change data of each area of ​​the chip is obtained. Through the temperature change data of each area of ​​the chip, it is identified whether there is a chip area with uneven temperature distribution. If so, the second refrigeration control strategy is triggered.

[0014] In the above-mentioned gas vortex refrigeration state control method, the refrigerator historical refrigeration data includes refrigeration friction data, vortex data and refrigeration efficiency data;

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

[0016] The eddy current data includes eddy current temperature difference and eddy current frequency;

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

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

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

[0020] Step 12: Based on the energy loss amount and the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency corresponding to each refrigeration record, the linear coefficient between the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency and the energy loss amount is obtained, and the linear coefficient is the energy adjustment coefficient; the energy adjustment coefficient expression is:

[0021]

[0022] Where σ 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, β 1j , β 2j Respectively represent the input power and cooling capacity of the jth historical cooling record, α 1j , α 2j , α 3j , α 4j They respectively represent the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency of the jth historical refrigeration record, and c1, c2, c3, and c4 respectively represent the weight values ​​corresponding to the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency.

[0023] In the above-mentioned gas vortex refrigeration state control method, 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. The gas vortex refrigeration parameter expression is:

[0024]

[0025] Where η Q represents the gas vortex refrigeration parameter, η Q ' represents the expected effect parameter of gas vortex refrigeration, and σ represents the energy regulation coefficient.

[0026] In the above-mentioned gas vortex refrigeration state control method, in step 3, the current operation data of the refrigerator includes the current operation environment data of the refrigerator and the current operation state data of the refrigerator;

[0027] The current operating environment data of the refrigerator specifically includes atmospheric pressure and temperature;

[0028] The current operating status data of the refrigerator specifically includes refrigerator flow and compressor load;

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

[0030] Step 31: according to the current operation data of the refrigerator, retrieve the historical refrigerator operation records including the current atmospheric pressure, temperature, refrigerator flow and compressor load of the refrigerator from the historical refrigerator operation data;

[0031] Step 32: Obtain the energy efficiency ratio and the vibration frequency of the refrigerator at each monitoring time node in each historical refrigerator operation record;

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

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

[0034] Step 35: Filter the offset points to find the offset points where the same monitoring time node is offset in the energy efficiency ratio change line graph and the refrigerator vibration frequency line graph;

[0035] Step 36: Obtain the temperature of the monitoring time node corresponding to the offset point of each screened historical refrigerator operation record, and take the average temperature of the monitoring time node corresponding to the offset point of each screened historical refrigerator operation record as the current stability temperature threshold of the refrigerator.

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

[0037] In the above-mentioned gas vortex refrigeration state control method, in step 5, the temperature change rate of each area and the temperature difference between adjacent areas are obtained based on the temperature change data of each area of ​​the chip;

[0038] A temperature change rate threshold and a temperature difference threshold are preset, and the temperature change rate of each area and the temperature difference between adjacent areas 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 areas exceeds the temperature difference threshold, the temperature distribution of the area is marked as uneven, and the second cooling control strategy is triggered.

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

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

[0041] Refrigerator capacity loss analysis module: used to obtain the historical refrigeration data of the refrigerator, analyze the historical refrigeration data of the refrigerator, obtain the energy loss status of the refrigerator gas vortex refrigeration process, and calculate the energy regulation coefficient;

[0042] Refrigeration parameter setting module: obtains gas vortex refrigeration parameters according to the energy adjustment coefficient, and compensates for the energy loss in the gas vortex refrigeration process of the refrigerator;

[0043] Refrigerator stability prediction module: obtain the current operation data of the refrigerator, search the historical refrigerator operation data through the current operation data of the refrigerator, and obtain the current stability temperature threshold of the refrigerator;

[0044] 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 refrigeration temperature is monitored to be lower than the stability temperature threshold;

[0045] Chip monitoring area division module: divides the chip into monitoring areas based on the chip's historical temperature distribution information and chip structure information;

[0046] Chip temperature monitoring and control module: Real-time temperature monitoring of each divided chip area; based on the real-time temperature monitoring of each chip area, the temperature change data of each chip area is obtained, and the temperature change data of each chip area is used to identify whether there is a chip area with uneven temperature distribution. If so, the second cooling control strategy is executed.

[0047] One of the above technical solutions of the present invention has at least one of the following advantages or beneficial effects:

[0048] In the present invention, by analyzing historical refrigeration data and identifying energy loss conditions, refrigeration parameters can be dynamically adjusted and the refrigeration process can be optimized to improve overall refrigeration efficiency and reduce energy consumption;

[0049] At the same time, the operating status 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 decline in refrigerant performance or unstable cooling effect due to too low temperature, thereby protecting the normal operation of the equipment;

[0050] Moreover, by using the historical temperature distribution information and structural information of the chip to divide the area, it is possible to more accurately monitor the temperature changes in each area, promptly identify areas with uneven temperature distribution, dynamically adjust the cooling strategy, have good flexibility, and enhance the intelligent monitoring capabilities of the chip status. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention is further described below in conjunction with the accompanying drawings and embodiments;

[0052] Figure 1 is a flow chart of the gas vortex refrigeration state control method of the present invention;

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

[0054] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0055] This application uses the historical refrigeration data of the refrigerator to analyze, identify the energy loss conditions in the refrigeration process, and calculate the energy regulation coefficient. According to the obtained energy regulation coefficient, the gas vortex refrigeration parameters are adjusted to compensate for the energy loss, so that the refrigerator 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 status data of the refrigerator, retrieving historical data to identify the current stability temperature threshold, on this basis, real-time monitoring of the refrigeration temperature to ensure that it remains within a stable range;

[0057] In addition, the monitoring area is divided according to the historical temperature distribution and structural information of the chip to ensure that the temperature changes in each area of ​​the chip can be accurately monitored to help identify uneven temperature distribution. Once the cooling temperature is detected to be lower than the stability temperature threshold, or the temperature of the chip area is identified to be uneven, the corresponding cooling control strategy is immediately triggered. The first cooling control strategy adjusts the performance of the overall refrigerator, and the second cooling control strategy adjusts the temperature of the chip to achieve efficient and stable control of the refrigerator and chip, improve the cooling effect, reduce energy consumption, and ensure safe operation of the equipment.

[0058] Reference Figure 1 As shown, a method for regulating the state of gas vortex refrigeration includes the following steps:

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

[0060] The historical refrigeration data of the refrigerator specifically includes refrigeration friction data, eddy current data and refrigeration efficiency data;

[0061] The refrigeration friction data specifically includes the compressor friction torque and the turbine friction coefficient; the compressor friction torque refers to the torque generated by friction during the operation of the compressor. 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 statistically obtained through historical operation records; in this embodiment, the compressor is generally a turbo compressor, and the turbine friction coefficient refers to the friction coefficient between the gas flow and the turbine components in the turbo 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. It is obtained by testing the performance data of the turbo compressor, or by using computational fluid dynamics (CFD) software for simulation, analyzing the flow of gas inside the turbine, and estimating the friction coefficient through simulation results. The friction coefficient can also be derived through comparative analysis based on existing experimental data and empirical formulas;

[0062] The eddy current data specifically include eddy current temperature difference and eddy current frequency; the eddy current temperature difference indicates the heat energy conversion and dissipation of the gas during the eddy current flow process, and reflects the relationship between the energy input and the actual output refrigeration effect during the eddy current refrigeration process. The eddy current temperature difference is obtained by installing temperature sensors at the inlet and outlet of the eddy current tube to record the gas temperature before and after the eddy current in real time, and then calculating the eddy current temperature difference; the eddy current frequency indicates the oscillation frequency of the gas eddy current in the refrigeration system, which is related to the eddy current intensity and stability. The dynamic data of the eddy current is collected through flow sensors and vibration sensors, and analyzed and obtained in combination with algorithms;

[0063] Refrigeration efficiency data specifically includes cooling capacity and input power; cooling capacity refers to the cooling capacity that the refrigerator can provide per unit time, in kilowatts, and is determined by real-time calculation of the flow rate and temperature change of the refrigerant through a combination of a flow meter and a temperature sensor; input power refers to the electrical energy consumed by the refrigerator during operation, in kilowatts, and is monitored in real time through current sensors and voltage sensors.

[0064] The historical refrigeration data of the refrigerator has multiple refrigeration records, which specifically include the following steps:

[0065] Step 11: Obtain the energy loss of the historical refrigeration record of the refrigerator through the difference between the refrigeration capacity and the input power in the refrigeration efficiency data;

[0066] Step 12: Based on the energy loss and the compressor friction torque, turbine friction coefficient, eddy current temperature difference and eddy current frequency corresponding to each refrigeration record, the linear coefficient between the compressor friction torque, turbine friction coefficient, eddy current temperature difference and eddy current frequency and the energy loss is identified, and the linear coefficient is marked as the energy adjustment coefficient. The specific expression for obtaining the energy adjustment coefficient is:

[0067]

[0068] Where σ 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, β 1j , β 2j Respectively represent the input power and cooling capacity of the jth historical cooling record, α 1j , α 2j , α 3j , α 4j They represent the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency of the jth historical refrigeration record, respectively, and c1, c2, c3, c4 represent the weight values ​​corresponding to the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency, respectively;

[0069] The weight needs to be set according to the actual situation. Specifically, the friction torque of the compressor is one of the important factors that cause energy loss, which mainly comes from the friction of components such as bearings and seals. These frictions will consume energy and convert into heat energy, thereby causing energy loss. The setting of the weight value needs to consider the compressor type (such as centrifugal compressors, scroll compressors, etc.), operating conditions (such as load, speed, etc.) and maintenance conditions (such as lubrication conditions, 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 a worm gear, In transmission, the size of the friction coefficient will directly affect the transmission efficiency and quality, so its weight value should be set higher; the eddy temperature difference will cause heat exchange and energy loss inside the eddy, and the setting of the weight value needs to consider factors such as the eddy type, flow rate, temperature distribution, and system thermal efficiency. For systems that need to maintain high temperature and high pressure operation, the weight value of the eddy temperature difference should be set higher; the eddy frequency will affect the stability and energy loss of the eddy, and high-frequency eddy may cause higher energy loss and component wear. The setting of the weight value needs to consider factors such as the eddy type, flow rate, system stability, and component material. For systems that need to maintain high stability and low wear, the weight value of the eddy frequency should be set higher.

[0070] Step 2: Obtaining gas vortex refrigeration parameters based on the energy adjustment coefficient to compensate for energy loss during the gas vortex refrigeration process of the refrigerator;

[0071] Specifically, first obtain the expected effect parameters of gas vortex refrigeration, which represent the refrigeration performance indicators that are expected to be achieved under ideal conditions. Based on the principles of thermodynamics, the expected refrigeration effect is calculated using a thermodynamic cycle model, or the refrigeration effect under actual operating conditions is obtained from laboratory tests. The expected effect is determined by comparing the performance under different operating conditions. Numerical simulation tools (such as CFD or thermodynamic simulation software) can also be used to simulate the refrigeration process under different operating conditions and analyze the results.

[0072] Based on the analysis of the expected effect parameters of gas vortex refrigeration and the energy regulation coefficient, the gas vortex refrigeration parameters are obtained. The specific expression for obtaining the gas vortex refrigeration parameters is:

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

[0074] By analyzing the expected effect of gas vortex refrigeration through the energy regulation coefficient, the appropriate gas vortex refrigeration parameters can be 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 refrigerator, reduce energy consumption, and thus reduce operating costs; by optimizing the operating parameters of the gas vortex, the mechanical wear caused by unstable operation can be reduced, the service life of the equipment can be extended, and the maintenance and replacement costs can be reduced, which not only reduces energy consumption but 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 parameters, identify the current operation data of the refrigerator, which includes the current operation environment data of the refrigerator and the current operation status data of the refrigerator. Search the historical refrigerator operation data through the current operation data of the refrigerator to identify the current stability temperature threshold of the refrigerator.

[0076] The current operating environment data of the refrigerator specifically includes the atmospheric pressure and temperature, and the current operating status data of the refrigerator specifically includes the refrigerator flow rate and the compressor load;

[0077] The specific steps include:

[0078] Step 31: according to the current operation data of the refrigerator, a historical refrigerator operation record containing the current operation data of the refrigerator is retrieved from the historical refrigerator operation data, that is, the fluctuation range of the atmospheric pressure, the fluctuation range of the temperature, the fluctuation range of the refrigerator flow rate and the fluctuation range of the compressor load in the historical refrigerator operation record respectively include the current atmospheric pressure, temperature, refrigerator flow rate and compressor load of the refrigerator;

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

[0080] Step 33: generating an energy efficiency ratio change line graph and a refrigerator vibration frequency line graph of each historical refrigerator operation record based on the energy efficiency ratio and refrigerator vibration frequency of each monitoring time node in each historical refrigerator operation record;

[0081] Step 34: identifying offset points in the energy efficiency ratio change line graph and the refrigerator vibration frequency line graph of each historical refrigerator operation record based on the energy efficiency ratio change line graph and the refrigerator vibration frequency line graph of each historical refrigerator operation record;

[0082] Step 35: Filter the offset points to find the offset points where the same monitoring time node is offset in the energy efficiency ratio change line graph and the refrigerator vibration frequency line graph;

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

[0084] In this embodiment, atmospheric pressure refers to the air pressure condition in the current environment, which is obtained by real-time monitoring through an air pressure sensor; temperature is obtained by monitoring the external temperature or the temperature of the refrigerant through a temperature sensor; refrigerator flow refers to the flow of refrigerant in the refrigeration circuit, which is monitored and obtained through a flow meter or a flow sensor; compressor load refers to the current working load of the compressor, which is monitored and obtained through a power meter or load sensor on the compressor; energy efficiency ratio indicates the cooling capacity generated by unit input power of the refrigeration system, which is calculated and obtained in real time through sensors of input power and cooling capacity; refrigerator vibration frequency indicates the mechanical vibration frequency of the refrigerator during operation, which is monitored and obtained through an acceleration sensor or a vibration sensor.

[0085] In this embodiment, a specific method for identifying offset points is as follows: a line graph is generated through data from historical refrigerator operation records, the line graphs respectively representing the changing trends of energy efficiency ratio and vibration frequency over time, an offset point refers to a node in the energy efficiency ratio or vibration frequency line graph where a significant change occurs, and this change can be manifested as a sudden rise or fall in the curve, indicating that the system has entered an abnormal state or the efficiency has decreased; further, offset points where the energy efficiency ratio and vibration frequency change simultaneously at the same monitoring time node are screened out, indicating that the operating state at the time node is significantly different from the normal state; and based on the historical temperature records corresponding to the screened offset points, the average value of these temperatures is calculated as the current stability temperature threshold of the refrigerator.

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

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

[0088] Adjust refrigerant flow: Dynamically adjust the flow of refrigerant in the system through a control valve or electronic expansion valve. When the system temperature approaches the stability threshold, control the refrigerant flow to keep the temperature within a stable range.

[0089] Adjust the operating status 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 its speed through the variable frequency compressor, or switch the working mode of the compressor. When the temperature is lower than the threshold, reduce the operating frequency of the compressor or shut down some compressors to reduce the cooling capacity;

[0090] Activate recirculation mode: Recirculation mode means reintroducing part of the low-temperature gas into the system under certain circumstances to reduce energy loss and improve refrigeration efficiency. It is enabled through the bypass valve or gas distribution device in the control system. When the temperature is detected to be too low, the recirculation mode is activated to reduce the refrigeration load and prevent the temperature from dropping excessively. When the energy efficiency loss is large or the load is low, the direct loss of refrigerant can be reduced to improve the overall energy efficiency of the system;

[0091] Condenser regulation: By adjusting the cooling fan speed or water flow rate of the condenser to change the condensation effect, the heat exchange efficiency in the system is adjusted. When the refrigeration temperature is lower than the stability threshold, the cooling capacity of the condenser is reduced (such as reducing the fan speed or reducing the cooling water flow) to reduce the refrigeration power. By optimizing the working state of the condenser, the overall efficiency of the refrigeration system can be effectively regulated to ensure stable operation under different environmental conditions.

[0092] Load switching: When the system is overloaded or the load demand changes, the system operation can be balanced by switching different cooling loads. For example, the cooling load can be distributed to different cooling circuits or cooling areas, or load switching can be performed by enabling or disabling standby cooling units. When the temperature is below the threshold, the load of the cooling unit is reduced.

[0093] By analyzing the fluctuation range, energy efficiency ratio and vibration frequency in the historical operation data, the stability temperature threshold of the refrigeration system can be accurately identified to ensure that the system always operates under the best working conditions and avoid performance degradation or loss due to temperature fluctuations; by analyzing and screening the changes in energy efficiency ratio and vibration frequency, it is helpful to detect potential anomalies in advance and avoid energy loss due to unstable operating conditions, thereby improving the overall operating efficiency of the refrigeration system; by monitoring the offset points, the abnormal state of the equipment can be identified in advance and effective preventive maintenance can be carried out, thereby reducing the probability of equipment failure, extending equipment life and reducing maintenance costs; based on the current environment and operating status data, the refrigeration strategy can be adjusted in real time to ensure the efficient operation of the system under different conditions and avoid the negative impact caused by changes in environmental conditions.

[0094] Step 5: While monitoring the gas eddy current refrigeration of the refrigerator, the chip is divided into monitoring areas based on the historical temperature distribution information and chip structure information of the chip, and then the temperature of each divided chip area is monitored in real time; based on the real-time temperature monitoring of each chip area, the temperature change data of each chip area is obtained, and the chip area with uneven temperature distribution is identified through the temperature change data of each chip area, thereby triggering the second refrigeration control strategy;

[0095] Conduct low-temperature tests on the chip in advance to obtain historical temperature distribution information of each low-temperature test. The historical temperature distribution information of the chip is specifically the historical temperature distribution points of the chip, that is, the temperature distribution status of the chip at the same time node under each low-temperature test; divide the chip into temperature regions based on the historical temperature distribution information of the chip, and the specific temperature region division includes the chip hot spot region, the chip cold spot region and the chip temperature fluctuation region; the chip structure information is specifically the chip material composition, and the chip is divided into material regions according to the chip material composition based on the chip structure information, and one material region has and only has one material composition; combined with the temperature region division and material region division of the chip, the monitoring region division of the chip is specifically: each region only contains the same temperature region and material region;

[0096] By combining the chip's temperature distribution information with the chip's structural information and dividing the chip into fine monitoring areas, the temperature changes and structural characteristics of different areas of the chip can be more accurately identified, ensuring that the monitoring results of each area are accurate and reliable; different materials react differently at different temperatures. By dually dividing the material area and the temperature area, it is possible to better discover and locate abnormal points or fault areas that may appear in the chip, especially the temperature hot spots, cold spots and temperature fluctuation areas, which helps to warn of chip failures in advance; the hot spots and cold spots of the chip will have different heat dissipation requirements. Fine-grained area division can make the cooling strategy more targeted, effectively reduce unnecessary energy consumption, and thus improve cooling efficiency; through continuous monitoring and regulation of key areas, the temperature fluctuations of the chip can be better managed, performance degradation or component damage caused by overheating or uneven temperature can be reduced, and the service life of the chip can be extended; because each area is divided based on different temperatures and materials, customized control strategies can be implemented for temperature changes in different areas, thereby improving the flexibility and adaptability of the system;

[0097] Based on the temperature change data of each area of ​​the chip, the temperature change rate of each area and the temperature difference between adjacent areas are obtained; the temperature change rate threshold and the temperature difference threshold are preset, and then the temperature change rate of each area and the temperature difference between adjacent areas 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 areas exceeds the temperature difference threshold, the temperature distribution of the area is marked as uneven, and the second refrigeration control strategy is triggered.

[0098] The second refrigeration control strategy specifically includes at least one of a local refrigeration enhancement measure, a local heat dissipation measure, and a regional independent refrigeration strategy;

[0099] Local cooling enhancement measures: For areas with excessively high temperatures, the heat dissipation can be enhanced by increasing the coolant flow in the area or increasing the power of the local cooling fan. By adjusting the gas flow rate or pressure in the gas vortex refrigeration system, the areas with higher temperatures can receive additional cooling compensation. Local cooling sheets or heat-conducting materials can also be used to assist in heat conduction to quickly cool down the overheated areas.

[0100] Local heat dissipation measures: For areas with lower temperatures, local heat dissipation measures can be used to increase heat conduction to avoid excessively low temperatures or local condensation. Heat transfer sheets or heat pipe technology can be used to transfer heat from low-temperature areas to areas with higher temperatures for balanced heat dissipation. The power of local radiators can also be controlled to reduce the cooling effect of the area and ensure temperature balance.

[0101] Independent regional cooling strategy: The chip is divided into multiple independent cooling zones, and the temperature requirements of different zones are individually controlled. Each zone can independently adjust the cooling intensity or heat dissipation capacity according to its temperature status.

[0102] By real-time monitoring of the temperature changes in various areas of the chip and identifying areas with uneven temperature distribution based on set thresholds, abnormal chip temperature areas can be located more quickly and accurately to avoid performance degradation or failure due to local overheating or insufficient heat dissipation. Compared with traditional overall cooling methods, when local temperature is abnormal, targeted regulation can be implemented to avoid unnecessary global cooling, thereby reducing energy consumption and improving cooling efficiency. By timely adjusting the heat dissipation or cooling of areas with uneven temperature, damage to the chip caused by excessively high or low temperatures can be avoided, thereby extending the service life of the chip and maintaining its stable operating state.

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

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

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

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

[0107] Refrigeration temperature monitoring and control 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 control strategy when the refrigeration temperature is monitored to be lower than the stability temperature threshold;

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

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

[0110] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A method for controlling the state of gas vortex refrigeration, characterized in that: The following steps are involved: Step 1: Obtain historical refrigeration data of the refrigerator, analyze the historical refrigeration data of the refrigerator, obtain the energy loss status in the vortex refrigeration process of the refrigerator gas, and calculate the energy regulation coefficient; Step 2: Obtain gas vortex refrigeration parameters according to the energy regulation coefficient, and compensate for the energy loss in the gas vortex refrigeration process of the refrigerator.

2. The gas vortex refrigeration state control method according to claim 1, characterized in that: Also includes steps 3 and 4; Step 3: The refrigerator receives and executes the gas vortex refrigeration parameters, 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; Step 4: monitor the gas vortex refrigeration of the refrigerator based on the current stability temperature threshold of the refrigerator, and trigger the first refrigeration control strategy when the refrigeration temperature is monitored to be lower than the stability temperature threshold.

3. The gas vortex refrigeration state control method according to claim 2, characterized in that: The step also includes step 5: dividing the chip into monitoring areas based on the historical temperature distribution information and chip structure information of the chip, and performing real-time temperature monitoring on each of the divided chip areas; Based on real-time temperature monitoring of each area of ​​the chip, temperature change data of each area of ​​the chip is obtained. Through the temperature change data of each area of ​​the chip, it is identified whether there is a chip area with uneven temperature distribution. If so, the second refrigeration control strategy is triggered.

4. The gas vortex refrigeration state control method according to claim 1, characterized in that: The historical refrigeration data of the refrigerator includes refrigeration friction data, eddy current data and refrigeration efficiency data; The refrigeration friction data includes the compressor friction torque and the turbine friction coefficient; The eddy current data includes eddy current temperature difference and eddy current frequency; The refrigeration efficiency data includes refrigeration capacity and input power; The historical refrigeration data of the refrigerator includes multiple refrigeration records, and the step 1 includes the following specific steps: Step 11: Obtain the energy loss of the historical refrigeration record of the refrigerator through the difference between the refrigeration capacity and the input power in the refrigeration efficiency data; Step 12: Based on the energy loss amount and the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency corresponding to each refrigeration record, the linear coefficient between the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency and the energy loss amount is obtained, and the linear coefficient is the energy adjustment coefficient; the energy adjustment coefficient expression is: Where σ 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, β 1j , β 2j Respectively represent the input power and cooling capacity of the jth historical cooling record, α 1j , α 2j , α 3j , α 4j They respectively represent the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency of the jth historical refrigeration record, and c1, c2, c3, and c4 respectively represent the weight values ​​corresponding to the compressor friction torque, turbine friction coefficient, eddy temperature difference and eddy frequency.

5. The gas vortex refrigeration state control method according to claim 1, characterized in that: In step 2, the expected effect parameters of gas vortex refrigeration are first obtained, and the gas vortex refrigeration parameters are obtained according to the expected effect parameters of gas vortex refrigeration and the energy adjustment coefficient. The gas vortex refrigeration parameter expression is: Where η Q represents the gas vortex refrigeration parameter, η Q ' represents the expected effect parameter of gas vortex refrigeration, and σ represents the energy regulation coefficient.

6. The gas vortex refrigeration state control method according to claim 2, characterized in that: In step 3, the current operation data of the refrigerator includes current operation environment data of the refrigerator and current operation status data of the refrigerator; The current operating environment data of the refrigerator specifically includes atmospheric pressure and temperature; The current operating status data of the refrigerator specifically includes refrigerator flow and compressor load; The step 3 comprises the following specific steps: Step 31: according to the current operation data of the refrigerator, retrieve the historical refrigerator operation records including the current atmospheric pressure, temperature, refrigerator flow and compressor load of the refrigerator from the historical refrigerator operation data; Step 32: Obtain the energy efficiency ratio and the vibration frequency of the refrigerator at each monitoring time node in each historical refrigerator operation record; Step 33: generating an energy efficiency ratio change line graph and a refrigerator vibration frequency line graph of each historical refrigerator operation record based on the energy efficiency ratio and refrigerator vibration frequency of each monitoring time node in each historical refrigerator operation record; Step 34: obtaining offset points in the energy efficiency ratio change line graph and the refrigerator vibration frequency line graph of each historical refrigerator operation record based on the energy efficiency ratio change line graph and the refrigerator vibration frequency line graph of each historical refrigerator operation record; Step 35: Filter the offset points to find the offset points where the same monitoring time node is offset in the energy efficiency ratio change line graph and the refrigerator vibration frequency line graph; Step 36: Obtain the temperature of the monitoring time node corresponding to the offset point of each screened historical refrigerator operation record, and take the average temperature of the monitoring time node corresponding to the offset point of each screened historical refrigerator operation record as the current stability temperature threshold of the refrigerator.

7. The gas vortex refrigeration state control method according to claim 2, characterized in that: The first refrigeration control strategy includes at least one of adjusting the refrigerant flow, adjusting the compressor operating state, enabling the recirculation mode, performing condenser regulation and load switching.

8. The gas vortex refrigeration state control method according to claim 3, characterized in that: 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; A temperature change rate threshold and a temperature difference threshold are preset, and the temperature change rate of each area and the temperature difference between adjacent areas 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 areas exceeds the temperature difference threshold, the temperature distribution of the area is marked as uneven, and the second cooling control strategy is triggered.

9. The gas vortex refrigeration state control method according to claim 3 or 8, characterized in that: The second refrigeration control strategy specifically includes at least one of a local refrigeration enhancement measure, a local heat dissipation measure, and a regional independent refrigeration strategy.

10. A gas vortex refrigeration state control system for implementing the method according to any one of claims 1 to 9, characterized in that: Includes the following modules: Refrigerator capacity loss analysis module: used to obtain the historical refrigeration data of the refrigerator, analyze the historical refrigeration data of the refrigerator, obtain the energy loss status of the refrigerator gas vortex refrigeration process, and calculate the energy regulation coefficient; Refrigeration parameter setting module: obtains gas vortex refrigeration parameters according to the energy adjustment coefficient, and compensates for the energy loss in the gas vortex refrigeration process of the refrigerator; Refrigerator stability prediction module: obtain the current operation data of the refrigerator, search the historical refrigerator operation data through the current operation data of the refrigerator, and obtain the current stability temperature threshold of the refrigerator; 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 refrigeration temperature is monitored to be lower than the stability temperature threshold; Chip monitoring area division module: divides the chip into monitoring areas based on the chip's historical temperature distribution information and chip structure information; Chip temperature monitoring and control module: Real-time temperature monitoring of each divided chip area; based on the real-time temperature monitoring of each chip area, the temperature change data of each chip area is obtained, and the temperature change data of each chip area is used to identify whether there is a chip area with uneven temperature distribution. If so, the second cooling control strategy is executed.

Images