Constant-temperature quick-cooling control method capable of preventing water from freezing at 0.5 DEG C and containing no low-temperature secondary refrigerant

Abstract

The invention relates to the technical field of constant-temperature control, in particular to a constant-temperature quick-cooling control method for 0.5-degree outlet water without freezing and containing low-temperature secondary refrigerants. The constant-temperature quick-cooling control method comprises the following steps that S1, the real-time outlet water temperature, target temperature and environment temperature sampling are obtained, and the difference between the target temperature and the real-time outlet water temperature is analyzed; and dividing three temperature control stages for the 0.5 DEG C effluent cooling condition according to the difference, and marking the corresponding section as a target cooling stage to obtain a temperature control stage identifier. According to the invention, through the real-time monitoring and the subdivision management of the temperature control stage, the response speed and accuracy of temperature adjustment are improved, the current temperature change can be reflected in real time, the future adjustment demand can be analyzed and predicted through the prospective temperature trend, the adjustment is more timely, and the adjustment efficiency is improved. The staged temperature management allows precise temperature regulation and control according to the actual cooling requirements, and especially effectively prevents ice crystals from being generated in the rapid cooling process.

Description

Technical Field

[0001] The present invention relates to the technical field of constant temperature control, in particular to a constant temperature rapid cooling control method in which outlet water at 0.5 degrees Celsius does not freeze and does not contain a low-temperature coolant. Background Art

[0002] Constant temperature control technology is a key technology widely used in various industrial and scientific research fields. Its main purpose is to keep the system or environment within a predetermined temperature range regardless of changes in external conditions. The technology involves the comprehensive application of temperature sensors, controllers and actuators to achieve precise temperature regulation. Constant temperature control systems usually include feedback loops that can adjust the output of heating or cooling devices according to real-time data to ensure temperature stability. This control method has important applications in many fields such as chemical reactions, biological culture, electronic equipment manufacturing, food processing, etc.

[0003] Among them, the constant temperature rapid cooling control method with 0.5-degree water outlet without freezing and without containing low-temperature refrigerant can quickly reduce the water temperature to near the freezing point but not to the point of freezing through the control system without using traditional low-temperature refrigerant. It is suitable for occasions where rapid cooling is required but ice crystals cannot be generated. For example, in certain chemical processes, biological sample preservation or food processing, rapid cooling without freezing is the key to ensuring product quality and safety. It can not only effectively improve cooling efficiency, but also prevent material damage or structural changes caused by excessively low temperature.

[0004] Existing technologies have difficulty maintaining cooling rates while keeping temperatures accurate, especially in scenarios where freezing must be prevented. This deficiency can lead to material quality loss or safety risks. In the face of large fluctuations in ambient temperature, existing technologies have a long response time, which can easily lead to improper chemical processing or damage to biological samples during storage. In addition, traditional technologies rely on single sensor feedback. Once the sensor is interfered with or fails, the temperature control accuracy and reliability will be affected. These technical limitations are particularly evident in scenarios without a cryogenic refrigerant, which can easily lead to both cost and safety risks. Summary of the Invention

[0005] In order to solve the problem that the existing technology is difficult to maintain the cooling rate while keeping the temperature accurate, especially in the scenario where it is necessary to prevent freezing, this deficiency will lead to material quality loss or safety risks. In the face of large fluctuations in ambient temperature, the response time of the existing technology is long, which can easily lead to improper chemical processing or damage to biological samples during storage. In addition, traditional technology relies on a single sensor feedback. Once the sensor is interfered with or fails, the temperature control accuracy and reliability will be affected. These technical limitations are particularly obvious in the scenario without a low-temperature refrigerant, which easily leads to technical problems of dual risks of cost and safety. The embodiment of the present invention provides a constant temperature rapid cooling control method with 0.5-degree water outlet without freezing and without a low-temperature refrigerant. The technical solution is as follows:

[0006] On the one hand, a constant temperature rapid cooling control method is provided in which the outlet water does not freeze at 0.5 degrees and does not contain a low-temperature coolant, comprising the following steps:

[0007] S1: Obtain samples of the outlet water real-time temperature, target temperature, and ambient temperature, analyze the difference between the target temperature and the outlet water real-time temperature, divide the 0.5°C outlet water cooling condition into three temperature control stages based on the difference, mark the corresponding section as the target cooling stage, and obtain the temperature control stage identifier;

[0008] S2: Based on the temperature control stage identifier, compare the outlet water temperature drop rate with the inlet temperature when the cooling is completed in the previous stage. If the drop rate exceeds the benchmark, adjust the cooling medium inlet temperature and flow rate to obtain a medium flow rate adjustment instruction;

[0009] S3: Based on the medium flow rate adjustment instruction, continuous temperature monitoring is performed through thermocouple sensors and infrared sensors, the medium channel data is analyzed every second, and data with fluctuations outside the normal range is screened out. If multiple sets of consecutive data show abnormalities, the main control monitoring channel is switched to generate a stable temperature sensing sequence;

[0010] S4: calling the stable temperature sensing sequence, combining the temperature data of the heat conduction on the cooling pipe wall with the ambient temperature sampling result, analyzing the heat load response, adjusting the cooling cycle and the initial input rate of the medium, and obtaining the cooling cycle configuration.

[0011] On the other hand, the temperature control stage identifier includes the stage number, temperature difference range, and stage classification; the medium flow rate adjustment instruction includes the adjustment threshold and adjustment index; the stable temperature sense sequence includes the data screening results, data channel selection results, and abnormality identification criteria; the cooling cycle configuration includes the cycle duration, cycle adjustment logic, and input rate adjustment results.

[0012] On the other hand, the steps for obtaining the temperature control stage identifier are specifically as follows:

[0013] S101: Acquire the real-time outlet water temperature, target temperature, and ambient temperature samples, analyze the temperature difference between the real-time outlet water temperature and the target temperature, classify the intervals based on the temperature difference, use the ambient temperature data as a reference for correction, determine the temperature control stage conditions, and generate a temperature difference interval calibration value;

[0014] S102: Based on the temperature difference interval calibration value, detecting whether cooling is triggered in the current temperature control stage, collecting the change trend of the outlet water temperature, matching it with the temperature difference interval, determining the temperature control stage to be activated, and obtaining the stage trigger matching coefficient;

[0015] S103: Binding the control logic of the cooling medium to the temperature control stage according to the stage trigger matching coefficient, dynamically adjusting the cooling conditions of each stage, and numbering the temperature control stages to obtain temperature control stage identifiers.

[0016] On the other hand, the steps for obtaining the medium flow rate adjustment instruction are specifically as follows:

[0017] S201: Based on the temperature control stage identifier, the outlet water temperature change rate, the cooling medium inlet temperature, and the current medium flow rate within the current period are collected. By monitoring the continuous change data of the outlet water temperature and combining the real-time monitoring of the medium inlet temperature with the flow rate measurement, data synchronization and feature analysis are performed to determine the immediate response capability of the temperature control system and generate a temperature control synergy factor.

[0018] S202: Based on the temperature control synergy factor, the current outlet water temperature drop rate is compared with the medium inlet temperature at the completion of the previous cooling stage, and the difference between the two is calculated to determine whether the difference exceeds the established cooling rate benchmark. If so, it is marked as over-speed cooling, and cooling rate deviation data is obtained;

[0019] S203: Reconfigure the current medium inlet temperature and flow rate according to the cooling rate deviation data, reversely correct the deviation from the normal cooling rate through new control parameters, and synchronize the temperature and flow rate of the cooling medium with the target demand to obtain a medium flow rate adjustment instruction.

[0020] On the other hand, the steps for obtaining the stable temperature sequence are specifically as follows:

[0021] S301: Based on the medium flow rate adjustment instruction, continuously monitor the medium temperature through a thermocouple sensor and an infrared sensor, collect temperature data per second, integrate the frequency and amplitude of temperature changes, evaluate the performance and response speed of the sensor, and generate temperature change frequency data;

[0022] S302: Based on the temperature change frequency data, screen data sequences that exceed the normal fluctuation range, perform time span analysis and frequency evaluation on the sequences, determine persistent abnormal patterns, and identify abnormal fluctuations in the data to obtain abnormal fluctuation detection results;

[0023] S303: Based on the abnormal fluctuation detection results, determine whether the main monitoring channel needs to be switched. If continuous abnormalities are found, evaluate the data stability of the backup channel, determine whether to enable it based on the performance of the backup channel, and switch to the optimal monitoring channel to generate a stable temperature sensing sequence.

[0024] On the other hand, the data series that are beyond the normal fluctuation range are screened using the formula:

[0025]

[0026] Calculate the abnormal fluctuation index ΔT and perform time span analysis and frequency evaluation on the sequence, where T i Represents the temperature at the i-th time point, T avg represents the average value of the temperature series, n is the total number of data points, and f i represents the frequency at the i-th time point, f avg Represents the average value of frequency.

[0027] On the other hand, the steps for obtaining the cooling cycle configuration are specifically as follows:

[0028] S401: Invoking the stable temperature sensing sequence to obtain real-time temperature data of heat conduction on the cooling pipe wall and ambient temperature sampling results, analyzing the data and comparing them with historical temperature patterns to extract the interaction between temperature change trends and environmental factors, identify key dynamic characteristics of heat energy transmission, and obtain heat load conduction relationship factors;

[0029] S402: Analyze the mutual influence of heat energy and medium flow based on the heat load conduction relationship factor, identify the change and response pattern of the heat load in different time periods, determine the heat load balance state in each stage, predict future load adjustment needs, and obtain a load adjustment dynamic trend value;

[0030] S403: Call the load adjustment dynamic trend quantity, reconstruct the cooling cycle time period according to the load intensity change amplitude of the current cooling state, set the input rate range of the corresponding medium in the initial cooling period, combine the cycle repeatability and response change frequency, synchronize the correction time control instruction, and obtain the cooling cycle configuration.

[0031] On the other hand, the analysis of the mutual influence between heat energy and medium flow adopts the formula:

[0032]

[0033] Calculate the heat load change QE, where ΔTE z Represents the temperature difference in the zth medium flow channel, Ek z is the heat transfer coefficient of the zth channel, EA z represents the cross-sectional area of ​​the zth channel, Ed z Represents the length of the zth channel, n qe Represents the total number of medium flow channels.

[0034] On the other hand, the steps further include:

[0035] S5: Based on the cooling cycle configuration, continuously monitor the continuous fluctuation of the water outlet temperature for 3 seconds to determine the current temperature control effect. If the target condition is not met, re-call the medium flow rate adjustment instruction to make corrections and obtain a temperature control stability determination result;

[0036] The temperature control stability determination result includes a fluctuation assessment result, a stability determination result, and a correction requirement indication.

[0037] On the other hand, the steps for obtaining the temperature control stability determination result are specifically as follows:

[0038] S501: Based on the cooling cycle configuration, the current outlet water temperature is obtained and its fluctuation within 3 seconds is continuously monitored. The relationship between the fluctuation amplitude per second and time is analyzed and compared with the target fluctuation range to identify whether it deviates from the temperature control range, and outlet water temperature fluctuation analysis data is generated;

[0039] S502: Determine whether the temperature control target is achieved based on the outlet water temperature fluctuation analysis data; if the target is not achieved, call the medium flow rate adjustment instruction based on the current temperature control difference to correct the flow rate of the cooling medium and generate a flow rate correction instruction;

[0040] S503: Restart the cooling process according to the flow rate correction instruction, monitor the new water outlet temperature fluctuation, compare it with the target value, determine whether the temperature control is stable, and obtain a temperature control stability determination result.

[0041] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0042] Through real-time monitoring and subdivided management of temperature control stages, the response speed and accuracy of temperature regulation are improved. It can not only reflect the current temperature changes in real time, but also predict future adjustment needs through forward-looking temperature trend analysis, making adjustments more timely. Phased temperature management allows for precise temperature control based on actual cooling needs, which is especially effective in preventing the formation of ice crystals during rapid cooling. Dynamic adjustment of medium flow rate and inlet temperature can flexibly respond to changes in internal and external environments, improving temperature control adaptability. Stable temperature sensing sequence can ensure the reliability of the control process by reducing data errors, thereby enhancing the efficiency and process safety of the entire temperature control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 It is a flow chart of the main steps of the present invention;

[0045] Figure 2 is a flow chart of the steps of S1 of the present invention;

[0046] Figure 3 This is a flow chart of the steps of S2 of the present invention;

[0047] Figure 4 This is a flow chart of the steps of S3 of the present invention;

[0048] Figure 5 This is a flow chart of the steps of S4 of the present invention;

[0049] Figure 6 This is a flow chart of the steps of S5 of the present invention. DETAILED DESCRIPTION

[0050] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0051] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0052] In the embodiments of the present invention, the terms "image" and "picture" may be used interchangeably. It should be noted that, when the distinction between them is not emphasized, their intended meanings are the same. The terms "of," "corresponding," and "corresponding" may be used interchangeably. It should be noted that, when the distinction between them is not emphasized, their intended meanings are the same.

[0053] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0054] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0055] The embodiment of the present invention provides a constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant, such as Figure 1 As shown, the following steps are included:

[0056] S1: Obtain samples of the outlet water real-time temperature, target temperature, and ambient temperature, analyze the difference between the target temperature and the outlet water real-time temperature, divide the 0.5°C outlet water cooling condition into three temperature control stages based on the difference, mark the corresponding section as the target cooling stage, and obtain the temperature control stage identifier;

[0057] S2: Based on the temperature control stage identifier, obtain real-time data on the outlet water temperature change rate, the cooling medium inlet temperature, and the current medium flow rate. Compare the outlet water temperature drop rate with the inlet temperature at the completion of the previous stage cooling. If the drop rate exceeds the benchmark, adjust the cooling medium inlet temperature and flow rate to obtain a medium flow rate adjustment instruction.

[0058] S3: Based on the medium flow rate adjustment instruction, continuous temperature monitoring is performed through thermocouple sensors and infrared sensors. The medium channel data is analyzed every second, and data with fluctuations outside the normal range is screened out. If multiple sets of consecutive data show abnormalities, the main control monitoring channel is switched to generate a stable temperature sensing sequence.

[0059] S4: Call the stable temperature sensing sequence, combine the temperature data of the cooling pipe wall heat conduction and the ambient temperature sampling results, analyze the heat load response, adjust the cooling cycle and the initial medium input rate according to the analysis results, and obtain the cooling cycle configuration;

[0060] S5: Based on the cooling cycle configuration, the outlet water temperature is continuously monitored for 3 seconds of fluctuations to determine the current temperature control effect. If the target condition is not met, the medium flow rate adjustment instruction is re-called for correction to obtain the temperature control stability judgment result.

[0061] The temperature control stage identification includes the stage number, temperature difference range, and stage classification. The medium flow rate adjustment instruction includes the adjustment threshold and adjustment index. The stable temperature sensing sequence includes the data screening results, data channel selection results, and abnormality identification standards. The cooling cycle configuration includes the cycle duration, cycle adjustment logic, and input rate adjustment results. The temperature control stability judgment result includes the fluctuation assessment result, stability determination result, and correction demand indication.

[0062] The main control monitoring channel involves a temperature sensing channel, not a physical medium channel, but a data channel provided by different types of temperature sensors (such as thermocouples and infrared sensors). Each sensor independently collects temperature data for analysis and monitoring of the cooling process. A thermocouple sensor is a contact temperature sensor that is located in direct contact with the cooling medium or near the water outlet to measure the real-time temperature of the medium or water. An infrared sensor is a non-contact temperature sensor that can monitor infrared radiation emitted by a target object within a certain distance, thereby inferring the temperature.

[0063] like Figure 2 As shown, the steps for obtaining the temperature control stage identifier are as follows:

[0064] S101: Acquire the real-time outlet water temperature, target temperature, and ambient temperature samples, analyze the temperature difference between the real-time outlet water temperature and the target temperature, classify the intervals based on the temperature difference, use the ambient temperature data as a reference for correction, determine the temperature control stage conditions, and generate a temperature difference interval calibration value;

[0065] The temperature difference between the real-time outlet water temperature and the target temperature is analyzed. By comparing the difference between the two, the range of the temperature difference is determined, and then the stage of the current cooling process is determined. If the target temperature is 20°C and the outlet water temperature is 22°C, the temperature difference is -2°C. Based on this temperature difference, the temperature difference range will be delineated. For example, if the temperature difference is between -2°C and -0.5°C, it will be judged that this is the initial stage of the cooling process. The ambient temperature data will be used as a reference to adjust the cooling strategy. If the ambient temperature is low, this will accelerate the cooling speed, so corresponding corrections will be made. In this process, the difference between the outlet water temperature and the target temperature will be classified according to the analysis results to obtain a temperature difference range calibration value suitable for the current situation, which will help to determine whether to enter a new cooling stage in the future.

[0066] S102: Based on the temperature difference interval calibration value, detect whether the current temperature control stage triggers cooling, collect the change trend of the outlet water temperature, match it with the temperature difference interval, determine the temperature control stage to be activated, and obtain the stage trigger matching coefficient;

[0067] The decision is made by collecting the changing trend of the outlet water temperature. Assuming that the outlet water temperature is decreasing at a rate of 0.1°C per second, this rate is compared with the temperature difference range of the previous stage to determine whether the conditions for starting the next cooling stage are met. For example, if the temperature difference is between -0.5°C and 0°C and the temperature drop rate is fast (for example, exceeding the standard value of the previous stage), the cooling process will be triggered and the corresponding temperature control stage will be activated. According to the matching of the temperature difference range and the cooling rate, a "stage trigger matching coefficient" will be calculated to accurately judge the needs of the current temperature control stage. If the outlet water temperature changes greatly at this time and meets the trigger conditions, the matching coefficient will be used to determine whether to activate the cooling mode of the next stage.

[0068] S103: Binding the control logic of the cooling medium to the temperature control stage according to the stage trigger matching coefficient, dynamically adjusting the cooling conditions of each stage, and numbering the temperature control stages to obtain temperature control stage identifiers;

[0069] According to the stage trigger matching coefficient, the control logic of the cooling medium will be bound to the current temperature control stage. Specifically, when it is confirmed that it is in a certain cooling stage, the flow rate and inlet temperature of the cooling medium will be adjusted. For example, in the first stage, the flow rate of the cooling medium is higher and the temperature is lower. When entering the second stage, the flow rate will be reduced and the temperature will be increased. Whenever the temperature control stage switches, the cooling conditions will be adjusted in real time according to the corresponding stage identification. The adjustment of the cooling conditions is based on the temperature data of the previous stage and the needs of the current stage. For example, in stage one, when the temperature changes rapidly, the flow rate will increase to accelerate cooling. When entering stage two, the flow rate will be appropriately reduced and the temperature will be adjusted to ensure that the temperature control system continues to operate in the optimal state. In addition, each temperature control stage will be assigned an independent number to facilitate precise cooling adjustments based on the stage identification.

[0070] like Figure 3 As shown, the steps for obtaining the medium flow rate adjustment instruction are as follows:

[0071] S201: Based on the temperature control stage identifier, the outlet water temperature change rate, the cooling medium inlet temperature, and the current medium flow rate within the current period are collected. By monitoring the continuous change data of the outlet water temperature and combining it with the real-time monitoring of the medium inlet temperature and flow rate measurement, data synchronization and feature analysis are performed to determine the immediate response capability of the temperature control system and generate a temperature control synergy factor.

[0072] After collecting data on the outlet water temperature change rate, the cooling medium inlet temperature, and the current medium flow rate during the current period, the outlet water temperature is continuously monitored to assess the temperature control system's immediate responsiveness. For example, if the collected outlet water temperature change rate is -0.1°C / second, the cooling medium inlet temperature is 10°C, and the flow rate is 3 L / min, the outlet water temperature change rate is first evaluated and compared with historical data to determine whether its trend meets the current set requirements. During data synchronization, the cooling medium inlet temperature and flow rate are monitored in real time to determine whether these conditions affect the outlet water temperature drop rate. For example, if a low flow rate or high inlet temperature results in less-than-expected cooling performance, adjustments are made based on the real-time monitoring results. Detailed data analysis generates a temperature control synergy factor, which reflects the coordination between the cooling medium and the outlet water temperature and helps determine the current responsiveness. As a key indicator, the temperature control synergy factor determines whether cooling conditions need to be adjusted or other measures need to be taken to improve cooling performance.

[0073] S202: Based on the temperature control synergy factor, the current outlet water temperature drop rate is compared with the medium inlet temperature at the completion of the previous cooling stage. The difference between the two is calculated to determine whether the difference exceeds the established cooling rate benchmark. If so, it is marked as over-speed cooling and cooling rate deviation data is obtained.

[0074] Compare the current outlet water temperature drop rate with the medium inlet temperature when the previous stage of cooling is completed, calculate the difference, and determine whether the difference between the two exceeds the benchmark value of the cooling rate. Assume that the medium inlet temperature in the previous stage is 8°C and the outlet water temperature drop rate is -0.05°C / second, while the outlet water temperature drop rate in the current stage is -0.1°C / second, and the medium inlet temperature is still 8°C. It is calculated that the current temperature drop rate is faster than the previous stage, and the difference exceeds the predetermined cooling rate benchmark (for example, the benchmark value is -0.08°C / second). Therefore, it will be judged as over-cooling and cooling rate deviation data will be generated. The deviation data will be used to further analyze whether there is over-cooling, or whether the temperature control system responds too quickly, resulting in too rapid temperature changes, thereby affecting the cooling effect. Through comparison and calculation, it is possible to timely identify whether the cooling rate meets the set standards and adjust the cooling strategy according to demand.

[0075] S203: Based on the cooling rate deviation data, the current medium inlet temperature and flow rate are reconfigured, the deviation from the normal cooling rate is reversely corrected using the new control parameters, and the temperature and flow rate of the cooling medium are synchronized with the target demand to obtain a medium flow rate adjustment instruction;

[0076] Based on the cooling rate deviation data, the current medium inlet temperature and flow rate are reconfigured to correct the situation where the cooling rate deviates from the normal range. Assuming that the cooling rate deviation data indicates that the outlet water temperature changes too quickly, the medium temperature and flow rate will be adjusted according to this deviation data. If the flow rate is too low, the flow rate will be increased to 4L / min; if the inlet temperature of the cooling medium is too high, the inlet temperature will be appropriately lowered to 6°C to correct the abnormal cooling rate. At the same time, the temperature and flow rate of the cooling medium will be adjusted synchronously to ensure that they meet the target requirements. Through adjustment, cooling too fast or too slow can be avoided, and the temperature can be kept within the required range. Finally, a new medium flow rate adjustment instruction is generated, and the instruction will be transmitted to the temperature control system in real time, instructing it to operate according to the new parameters.

[0077] like Figure 4 As shown, the steps for obtaining a stable temperature sequence are as follows:

[0078] S301: Based on the medium flow rate adjustment instruction, the medium temperature is continuously monitored through the thermocouple sensor and the infrared sensor, the temperature data is collected every second, the frequency and amplitude of the temperature change are integrated, and the performance and response speed of the sensor are evaluated to generate the temperature change frequency data;

[0079] The temperature data of the medium is continuously monitored through thermocouple sensors and infrared sensors. The sensor collects temperature values ​​once per second, records the temperature data in real time, and calculates the frequency and amplitude of the temperature change per second. If the temperature data collected per second is: 10°C at 0 seconds, 10.2°C at 1 second, and 10.4°C at 2 seconds, the temperature change amplitude will be calculated to be 0.2°C, and the temperature change frequency will be 0.2°C / second. Data will be continuously collected, its change pattern will be analyzed, and the frequency and amplitude of the temperature change will be comprehensively analyzed. If the frequency and amplitude of temperature fluctuations are large, it means that the flow rate of the cooling medium is unstable or there is a problem with the response of the temperature control system. The performance and response speed of the sensor will be further evaluated to confirm whether it can work stably in the actual environment. If the sensor response speed is slow or the data fluctuates greatly, it will affect the precise control of the temperature control system. Therefore, the sensor needs to be calibrated or replaced, and the monitoring data needs to be integrated to generate temperature change frequency data.

[0080] S302: Based on the temperature change frequency data, screen data sequences that exceed the normal fluctuation range, perform time span analysis and frequency evaluation on the sequences, determine persistent abnormal patterns, and identify abnormal fluctuations in the data to obtain abnormal fluctuation detection results;

[0081] To filter out data series that are beyond the normal fluctuation range, use the formula:

[0082]

[0083] Calculate the abnormal fluctuation index ΔT. The abnormal fluctuation index is a numerical result used to quantify the fluctuation behavior in a data series. It reflects whether the series is abnormal in a statistical sense (that is, the degree of deviation from its normal fluctuation characteristics). It combines the average absolute deviation of temperature in the time series and the standard deviation (volatility) of frequency in the time series, and performs time span analysis and frequency evaluation on the series. Among them, T i Represents the temperature at the i-th time point, T avg represents the average value of the temperature series, n is the total number of data points, and f i represents the frequency at the i-th time point, f avg represents the average value of the frequency;

[0084] Assume that the data is collected from the temperature and frequency data of five consecutive time points, and the temperature at each time point is T i and frequency f i All are automatically recorded by sensors, as follows:

[0085] T=22.1, 22.5, 21.9, 23.0, 22.3 (degrees Celsius)

[0086] f=50,55,49,52,53(Hz)

[0087] Calculate the average temperature T avg and the average value of the frequency f avg :

[0088]

[0089] Calculate the sum of the absolute values ​​of the temperature deviations at each time point:

[0090]

[0091] Compute the variance of the frequencies:

[0092]

[0093] Substitute the formula to calculate the abnormal fluctuation index ΔT:

[0094]

[0095] The results show that the abnormal fluctuation index ΔT is 0.666, which reflects the degree of joint fluctuation of temperature and frequency at these five time points. This value is small, indicating that during the observation period, temperature and frequency showed a relatively stable fluctuation pattern and did not show significant abnormal fluctuations.

[0096] S303: Based on the abnormal fluctuation detection results, determine whether the main monitoring channel needs to be switched. If continuous abnormalities are found, evaluate the data stability of the backup channel, determine whether to enable it based on the performance of the backup channel, and switch to the optimal monitoring channel to generate a stable temperature sensing sequence;

[0097] Based on the abnormal fluctuation detection results, it is determined whether the main control monitoring channel needs to be switched. If abnormal fluctuations are found in multiple sets of continuous data and the abnormal fluctuations cannot be corrected by simple parameter adjustments, the stability of the backup channel will be evaluated. For example, if the main control channel continuously monitors abnormal fluctuations higher than 0.15℃ / second and cannot be corrected by adjusting the flow rate, the data quality of the backup channel will be evaluated to check whether the backup channel can stably provide reliable data. If the performance of the backup channel meets the requirements, the backup channel will be enabled and switched to the channel for monitoring to ensure the stable operation of the temperature control system. Finally, a stable temperature sensing sequence is generated. The sequence includes data confirmed by the backup channel and reflects the stable state of the cooling process. In this way, it is ensured that the monitoring channel can be switched in time under abnormal circumstances to maintain the continuity and accuracy of the cooling process.

[0098] like Figure 5 As shown, the steps for obtaining the cooling cycle configuration are as follows:

[0099] S401: Invoke the stable temperature sensing sequence to obtain real-time temperature data of heat conduction on the cooling pipe wall and ambient temperature sampling results. By analyzing the data and comparing it with historical temperature patterns, the interaction between temperature change trends and environmental factors is extracted, and the key dynamic characteristics of heat energy transfer are identified to obtain the heat load conduction relationship factor.

[0100] The real-time temperature data of heat conduction of the cooling pipe wall and the ambient temperature sampling results are obtained. First, a comparative analysis is performed on the data. By comparing the current heat conduction data of the cooling pipe wall with the historical temperature pattern, the temperature change trend in the current cooling process is identified. For example, in the historical data, the temperature change trend of the cooling pipe wall is gradually decreasing, but in the real-time data, there are large fluctuations in the temperature change amplitude. Combined with the ambient temperature sampling results, the impact of environmental factors on the cooling effect is analyzed. Assuming that the current ambient temperature is 5°C, combined with the temperature change of the cooling pipe wall, the ambient temperature will affect the heat energy dissipation rate, thereby changing the cooling efficiency. Through comparative analysis, the key dynamic characteristics of heat energy transmission can be identified. For example, the heat load of the cooling pipe wall will be affected by the external ambient temperature or the characteristics of the pipe material, resulting in different responses. Finally, the heat load conduction relationship factor will be obtained through analysis. This factor represents the relationship between heat load and heat conduction of the cooling pipe.

[0101] S402: Based on the heat load conduction relationship factor, analyze the mutual influence of heat energy and medium flow, identify the changes and response patterns of heat load in different time periods, determine the heat load balance state in each stage, predict future load adjustment needs, and obtain the load adjustment dynamic trend;

[0102] To analyze the mutual influence of thermal energy and medium flow, the formula is used:

[0103]

[0104] Calculate the heat load change QE. The heat load change value refers to the numerical difference between the supply and demand of heat energy in the system or region per unit time. Its essential meaning is the change in the intensity of heat energy flow in the heating / cooling system, reflecting the dynamic changes in heat energy demand or the state of the flow medium, and providing a quantitative basis for load scheduling, system regulation and energy efficiency optimization. Among them, ΔTE z Represents the temperature difference in the zth medium flow channel, that is, the temperature difference at both ends of the channel, which is a key variable in heat conduction calculations. z It represents the thermal conductivity coefficient of the zth channel, which is a physical quantity that measures the thermal conductivity of the material and reflects the amount of heat that can be transferred by the temperature difference of the material over time. z Represents the cross-sectional area of ​​the zth channel, which affects the total amount of heat energy transferred. The larger the area, the more heat energy can be transferred. z Represents the length of the zth channel. The longer the heat conduction distance, the less heat is actually transferred. qe Represents the total number of medium flow channels;

[0105] There are three channels, represented by subscripts 1, 2, and 3 respectively. The channel parameters are:

[0106] For the first channel (z=1):

[0107] ΔTE1=10℃;

[0108] Ek1=50W / m·K;

[0109] EA1=0.02m 2 ;

[0110] Ed1=3m;

[0111] For the second channel (z=2):

[0112] ΔTE2 = 15°C;

[0113] Ek2=60W / m·K;

[0114] EA2=0.03m 2 ;

[0115] Ed2=4m;

[0116] For the third channel (z=3):

[0117] ΔTE3 = 12°C;

[0118] Ek3=70W / m·K;

[0119] EA3=0.025m 2 ;

[0120] Ed3=5m;

[0121] Substitute into the formula for calculation:

[0122] For the first channel (z=1):

[0123]

[0124] For the second channel (z=2):

[0125]

[0126] For the third channel (z=3):

[0127]

[0128] Calculate the total heat energy transferred:

[0129] QE=QE1+QE2+QE3=3.33+6.75+4.2=14.28;

[0130] The calculated total heat energy transfer is 14.28, representing the total heat energy transferred per unit time in the three medium flow channels. This value is an important basis for heat load calculations, helping to analyze changes in the heat load of each channel and predict future load adjustment needs.

[0131] S403: Calling the load adjustment dynamic trend quantity, reconstructing the cooling cycle time period based on the load intensity change amplitude of the current cooling state, setting the input rate range of the corresponding medium in the initial cooling period, combining the cycle repeatability and response change frequency, and synchronously correcting the time control instruction to obtain the cooling cycle configuration;

[0132] Based on the load intensity change of the current cooling state, the cooling cycle time period is reconstructed. Assuming that the current cooling load intensity increases by 20%, the length of the cooling cycle will be re-evaluated and its input rate range will be adjusted. For example, if the original cooling cycle is 30 minutes and the flow rate is 5L / min, and after the load intensity changes, the flow rate needs to be increased to 6L / min, the cooling cycle needs to be adjusted to 35 minutes. According to the change in load intensity, the new medium input rate range of the initial cooling period will be set to ensure that the cooling process can effectively respond to load changes. At the same time, considering the repeatability of the cycle and the frequency of response changes, in a cooling environment with large periodic fluctuations, the time control instructions are adjusted to ensure that each stage of the cooling process can accurately respond to load fluctuations. Finally, all control instructions will be synchronized to ensure that the configuration of the cooling cycle can adapt to real-time load adjustment needs, balance temperature changes between different temperature control stages, and maintain a stable cooling effect.

[0133] like Figure 6 As shown, the steps for obtaining the temperature control stability judgment result are as follows:

[0134] S501: Based on the cooling cycle configuration, the current outlet water temperature is obtained and its fluctuation within 3 seconds is continuously monitored. By analyzing the relationship between the fluctuation amplitude per second and time and comparing it with the target fluctuation range, it is determined whether it deviates from the temperature control range and generates outlet water temperature fluctuation analysis data;

[0135] First, obtain the current outlet water temperature and start to continuously monitor its fluctuations within 3 seconds. If the current outlet water temperature is 22℃, the change in outlet water temperature will be recorded every second to obtain the data of temperature fluctuation amplitude per second. If the temperature is 22℃ in the first second, 22.2℃ in the second second, and 22.3℃ in the third second, the relationship between the fluctuation amplitude per second and time will be calculated, that is, the fluctuation is 0.2℃ per second, and the interval per second is 1 second. Continue to collect data and compare it with the set target fluctuation range. For example, the target fluctuation range is 0.1℃ to 0.3℃. It will be judged whether the current fluctuation deviates from this range. If the fluctuation amplitude remains within the target range, it means that the temperature control is normal; if it exceeds this range, for example, the fluctuation exceeds 0.3℃, it means that the temperature control is normal. By analyzing the relationship between the fluctuation amplitude per second and time, it is possible to identify whether there is unstable temperature control and generate outlet water temperature fluctuation analysis data.

[0136] S502: Analyze the outlet water temperature fluctuation data to determine whether the temperature control target has been achieved. If not, call a medium flow rate adjustment instruction based on the current temperature control difference to correct the flow rate of the cooling medium and generate a flow rate correction instruction.

[0137] Based on the outlet water temperature fluctuation analysis data, determine whether the temperature control target has been achieved. If the target fluctuation range is 0.1℃ to 0.3℃, and the actual monitored fluctuation is 0.4℃, it will be determined that the temperature control target has not been achieved. Based on this difference, calculate the current temperature control difference. If the current temperature control difference is 0.4℃-0.3℃=0.1℃, then call the medium flow rate adjustment instruction for correction. For example, if the current flow rate is 4L / min, the flow rate will be increased to 5L / min in order to improve the temperature control accuracy by accelerating cooling. The adjustment instruction will generate a flow rate correction instruction, instructing the temperature control system to perform cooling operations according to the new flow rate. According to this correction instruction, adjust the cooling process in real time to ensure that the outlet water temperature can return to the target range.

[0138] S503: Restart the cooling process according to the flow rate correction instruction, monitor the new water outlet temperature fluctuation, and compare it with the target value to determine whether the temperature control is stable, and obtain a temperature control stability determination result;

[0139] Restart the cooling process and continue to monitor the new outlet water temperature fluctuation. The new outlet water temperature fluctuation is 22℃ to 22.1℃, and the flow rate has been adjusted to 5L / min. It will be monitored again and compared with the target value. For example, the target fluctuation range is still 0.1℃ to 0.3℃, and the current temperature fluctuation is 0.1℃. It will be judged that the temperature control has stabilized within the target range. If the temperature fluctuation still meets the target range, it indicates that the temperature control system is stable, and the temperature control stability judgment result is obtained. On the contrary, if the fluctuation exceeds the target range, further adjustments will be made to ensure accurate control of the cooling process.

[0140] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0141] In this disclosure, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of a, b, or c" can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0142] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0143] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0144] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0145] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of the device or unit, which can be electrical, mechanical or other forms.

[0146] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0147] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0148] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0149] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. 0.5 degree water outlet does not freeze and does not contain low temperature coolant constant temperature rapid cooling control method, characterized by: The method comprises: S1: Obtain samples of the outlet water real-time temperature, target temperature, and ambient temperature, analyze the difference between the target temperature and the outlet water real-time temperature, divide the 0.5°C outlet water cooling condition into three temperature control stages based on the difference, mark the corresponding section as the target cooling stage, and obtain the temperature control stage identifier; S2: Based on the temperature control stage identifier, compare the outlet water temperature drop rate with the inlet temperature when the cooling is completed in the previous stage. If the drop rate exceeds the benchmark, adjust the cooling medium inlet temperature and flow rate to obtain a medium flow rate adjustment instruction; S3: Based on the medium flow rate adjustment instruction, continuous temperature monitoring is performed through thermocouple sensors and infrared sensors, the medium channel data is analyzed every second, and data with fluctuations outside the normal range is screened out. If multiple sets of consecutive data show abnormalities, the main control monitoring channel is switched to generate a stable temperature sensing sequence; S4: calling the stable temperature sensing sequence, combining the temperature data of the heat conduction on the cooling pipe wall with the ambient temperature sampling result, analyzing the heat load response, adjusting the cooling cycle and the initial input rate of the medium, and obtaining the cooling cycle configuration.

2. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 1 is characterized in that: The temperature control stage identifier includes the stage number, temperature difference range, and stage classification; the medium flow rate adjustment instruction includes the adjustment threshold and adjustment index; the stable temperature sensing sequence includes the data screening results, the data channel selection results, and the abnormality identification criteria; the cooling cycle configuration includes the cycle duration, cycle adjustment logic, and input rate adjustment results.

3. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 1 is characterized in that: The steps for obtaining the temperature control stage identifier are specifically as follows: S101: Acquire the real-time outlet water temperature, target temperature, and ambient temperature samples, analyze the temperature difference between the real-time outlet water temperature and the target temperature, classify the intervals based on the temperature difference, use the ambient temperature data as a reference for correction, determine the temperature control stage conditions, and generate a temperature difference interval calibration value; S102: Based on the temperature difference interval calibration value, detecting whether cooling is triggered in the current temperature control stage, collecting the change trend of the outlet water temperature, matching it with the temperature difference interval, determining the temperature control stage to be activated, and obtaining the stage trigger matching coefficient; S103: Binding the control logic of the cooling medium to the temperature control stage according to the stage trigger matching coefficient, dynamically adjusting the cooling conditions of each stage, and numbering the temperature control stages to obtain temperature control stage identifiers.

4. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 1 is characterized in that: The steps for obtaining the medium flow rate adjustment instruction are specifically as follows: S201: Based on the temperature control stage identifier, the outlet water temperature change rate, the cooling medium inlet temperature, and the current medium flow rate within the current period are collected. By monitoring the continuous change data of the outlet water temperature and combining the real-time monitoring of the medium inlet temperature with the flow rate measurement, data synchronization and feature analysis are performed to determine the immediate response capability of the temperature control system and generate a temperature control synergy factor. S202: Based on the temperature control synergy factor, the current outlet water temperature drop rate is compared with the medium inlet temperature at the completion of the previous cooling stage, and the difference between the two is calculated to determine whether the difference exceeds the established cooling rate benchmark. If so, it is marked as over-speed cooling, and cooling rate deviation data is obtained; S203: Reconfigure the current medium inlet temperature and flow rate according to the cooling rate deviation data, reversely correct the deviation from the normal cooling rate through new control parameters, and synchronize the temperature and flow rate of the cooling medium with the target demand to obtain a medium flow rate adjustment instruction.

5. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 1 is characterized in that: The steps for obtaining the stable temperature sensing sequence are specifically as follows: S301: Based on the medium flow rate adjustment instruction, continuously monitor the medium temperature through a thermocouple sensor and an infrared sensor, collect temperature data per second, integrate the frequency and amplitude of temperature changes, evaluate the performance and response speed of the sensor, and generate temperature change frequency data; S302: Based on the temperature change frequency data, screen data sequences that exceed the normal fluctuation range, perform time span analysis and frequency evaluation on the sequences, determine persistent abnormal patterns, and identify abnormal fluctuations in the data to obtain abnormal fluctuation detection results; S303: Based on the abnormal fluctuation detection results, determine whether the main monitoring channel needs to be switched. If continuous abnormalities are found, evaluate the data stability of the backup channel, determine whether to enable it based on the performance of the backup channel, and switch to the optimal monitoring channel to generate a stable temperature sensing sequence.

6. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 5, characterized in that: The data series that are beyond the normal fluctuation range are screened using the formula: Calculate the abnormal fluctuation index ΔT and perform time span analysis and frequency evaluation on the sequence, where T i Represents the temperature at the i-th time point, T avg represents the average value of the temperature series, n is the total number of data points, and f i represents the frequency at the i-th time point, f avg Represents the average value of frequency.

7. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 1 is characterized in that: The steps for obtaining the cooling cycle configuration are specifically as follows: S401: Invoking the stable temperature sensing sequence to obtain real-time temperature data of heat conduction on the cooling pipe wall and ambient temperature sampling results, analyzing the data and comparing them with historical temperature patterns to extract the interaction between temperature change trends and environmental factors, identify key dynamic characteristics of heat energy transmission, and obtain heat load conduction relationship factors; S402: Analyze the mutual influence of heat energy and medium flow based on the heat load conduction relationship factor, identify the change and response pattern of the heat load in different time periods, determine the heat load balance state in each stage, predict future load adjustment needs, and obtain a load adjustment dynamic trend value; S403: Call the load adjustment dynamic trend quantity, reconstruct the cooling cycle time period according to the load intensity change amplitude of the current cooling state, set the input rate range of the corresponding medium in the initial cooling period, combine the cycle repeatability and response change frequency, synchronize the correction time control instruction, and obtain the cooling cycle configuration.

8. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 7, characterized in that: The analysis of the mutual influence of heat energy and medium flow adopts the formula: Calculate the heat load change QE, where ΔTE z Represents the temperature difference in the zth medium flow channel, Ek z is the heat transfer coefficient of the zth channel, EA z represents the cross-sectional area of ​​the zth channel, Ed z Represents the length of the zth channel, n qe Represents the total number of medium flow channels.

9. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 1, characterized in that: The method further comprises: S5: Based on the cooling cycle configuration, continuously monitor the continuous fluctuation of the water outlet temperature for 3 seconds to determine the current temperature control effect. If the target condition is not met, re-call the medium flow rate adjustment instruction to make corrections and obtain a temperature control stability determination result; The temperature control stability determination result includes a fluctuation assessment result, a stability determination result, and a correction requirement indication.

10. The constant temperature rapid cooling control method for 0.5 degree water outlet without freezing and without low temperature coolant according to claim 9, characterized in that: The steps for obtaining the temperature control stability determination result are specifically as follows: S501: Based on the cooling cycle configuration, the current outlet water temperature is obtained and its fluctuation within 3 seconds is continuously monitored. The relationship between the fluctuation amplitude per second and time is analyzed and compared with the target fluctuation range to identify whether it deviates from the temperature control range, and outlet water temperature fluctuation analysis data is generated; S502: Determine whether the temperature control target is achieved based on the outlet water temperature fluctuation analysis data; if the target is not achieved, call the medium flow rate adjustment instruction based on the current temperature control difference to correct the flow rate of the cooling medium and generate a flow rate correction instruction; S503: Restart the cooling process according to the flow rate correction instruction, monitor the new water outlet temperature fluctuation, compare it with the target value, determine whether the temperature control is stable, and obtain a temperature control stability determination result.

Images