Ultra-low power consumption operating room refrigeration method

Abstract

The invention relates to the technical field of energy-saving refrigeration, in particular to an ultra-low power consumption operating room refrigeration method which comprises the following steps: acquiring carbon dioxide concentration and freezing a fresh air inlet, reading an oxygen concentration and temperature control curve to adjust an oxygen release channel, and linking the running state of a compressor and the output of a condensation flow rate correction channel. And guiding heat into a heat exchange surface channel, extracting air supply data and analyzing a synchronous trend to obtain a low-power-consumption refrigeration closed-loop operation state. According to the method, the gradient of the carbon dioxide concentration is monitored, the air door state is frozen, fresh air introduction is adjusted, the clean environment is maintained with low air volume, the opening and closing proportion of an oxygen channel is adjusted in combination with heat exchanger thermal response, compressor power and condensation flow speed linkage analysis is conducted, channel output is corrected, cooling capacity lag is reduced, and hot air flow direction and temperature difference distribution are extracted; and the heat is guided to be reused to a heat exchange channel, the tail end air temperature, humidity and gas concentration are compared with a main control state, a synchronous change section is recognized, a closed-loop feedback path is constructed, and the adjusting sensitivity and the energy consumption precision are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving refrigeration, and in particular to an ultra-low power consumption refrigeration method for an operating room. Background Art

[0002] The field of energy-saving refrigeration technology includes control methods, structural design, and system integration processes for optimizing the energy efficiency of refrigeration systems, aiming to reduce energy consumption while meeting environmental temperature control requirements. The core content of this technical field includes energy efficiency management of compression refrigeration cycles, improvement of heat exchange efficiency in condensation and evaporation processes, optimization of refrigerant types and flow paths, and low-power design of control strategies. The overall technical system covers the selection of fixed-frequency and variable-frequency compressor operation modes, expansion valve flow regulation mechanism, heat exchanger surface structure design, coordinated control of fan speed and operating time, start-stop logic of the electronic control unit, and linkage feedback strategy with environmental parameters, forming a combination of multiple technologies with minimizing energy consumption as the core goal.

[0003] Among them, the ultra-low power operating room refrigeration method refers to a refrigeration process with energy consumption control as the key indicator used to maintain a constant temperature in the operating area under a medical environment. This refrigeration method is designed for five technical matters: compressor start-up frequency control, heat exchange time allocation between condenser and evaporator, refrigerant circulation path length matching, air volume adjustment cycle, and indoor temperature and humidity sensor feedback signal linkage logic. By setting fixed values ​​and threshold ranges, the equipment start and stop are controlled with energy-saving logic, and the refrigeration intensity is corrected in combination with the time-sharing load prediction model, thereby achieving a dynamic balance between indoor heat absorption and external heat dissipation, and adjusting the working cycle based on system operating procedures and sensor element data.

[0004] Although existing energy-saving refrigeration technologies cover a wide range of control strategies and system designs, in practical applications, there is still a lag in the response to micro-changes in the environment, especially in rapidly changing medical environments. This lag may lead to inaccurate environmental control, affecting the refrigeration effect and energy efficiency. For example, the frequent start and stop of the compressor not only increases the wear and tear of the equipment, but also leads to a decrease in energy utilization. The one-way feedback mechanism in the existing technology fails to effectively integrate environmental sensing data with system control, and lacks a highly integrated data-driven decision-making framework, which limits the optimization potential of the system in high-demand application scenarios. In addition, the lack of a mechanism for real-time regulation of internal air quality makes it difficult for the system to achieve the predetermined energy-saving goals while ensuring environmental stability. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an ultra-low power consumption operating room refrigeration method.

[0006] To achieve the above object, the present invention adopts the following technical solutions: An ultra-low power consumption refrigeration method for an operating room, comprising the following steps: S1: Obtain the carbon dioxide concentration in the main return air section and continuously compare it with the set standard, read the slope difference between the concentration curve and the threshold, perform carbon dioxide adsorption treatment, record the damper state and freeze the fresh air inlet, and obtain the operating state of the fresh air alternative air flow; S2: Based on the operating state of the fresh air alternative air flow, read the oxygen concentration at the end and the chamber temperature control curve, analyze the heating continuity through the heat response of the heat exchanger, and adjust the oxygen release channel to obtain the oxygen maintenance supply state; S3: Based on the oxygen maintenance supply state, synchronously read the compressor power and the condensation frequency, extract the flow rates before and after condensation, analyze the remaining cooling capacity and the lag of the operating cycle, screen for delayed responses and adjust the path to obtain an energy-saving suppression mode for the refrigeration condition; S4: Based on the energy-saving suppression mode for the refrigeration condition, extract the data of the two-way hot air flow and the temperature difference between the paths, analyze the direction of the heat flux, press the heat to the heat exchange surface heat transfer channel to obtain a reheating and reaction composite heat energy channel; S5: Based on the reheating and reaction composite heat energy channel, extract the air temperature, humidity and gas concentration at the end of the air supply, compare them with the main control setting, analyze the data synchronization, and obtain the low-power refrigeration closed-loop operating state.

[0007] As a further solution of the present invention, the operating state of the fresh air alternative air flow includes the fixed angle of the damper, the ventilation gas circulation path, and the residual carbon dioxide concentration value. The oxygen maintenance supply state includes the opening and closing ratio of the oxygen release channel, the heat response difference interval of the heat exchanger, and the stable oxygen supply concentration section. The energy-saving suppression mode for the refrigeration condition includes the compressor operating cycle, the flow rate distribution in the condensation section, and the on-off response time series. The reheating and reaction composite heat energy channel includes the heat energy introduction path of the heat exchange surface, the stable heat air flow direction section, and the two-channel temperature difference superposition area. The low-power refrigeration closed-loop operating structure includes the trend of the heat content of the supplied air, the continuous section of the change in air humidity, and the synchronous fluctuation range of the gas concentration.

[0008] As a further solution of the present invention, the specific steps of S1 are: S101: Obtain the carbon dioxide concentration monitoring value in the main return air section, read the current concentration change trend, identify the deviation direction of the continuously rising section from the set standard, extract the stage concentration trend characteristics after entering the prediction area, and generate a concentration deviation trend value; S102: Based on the concentration deviation trend value, activate the carbon dioxide adsorption device, record the current damper opening angle and the wind speed change, and identify the damper response state in the adsorption state to obtain the adsorption response stability; S103: Based on the adsorption response stability, detect the fresh air operation state after the adsorption ends, analyze the consistency between the damper command and the actual execution situation, freeze the damper angle and lock the wind speed, and obtain the fresh air alternative airflow operation state.

[0009] As a further solution of the present invention, the specific steps of S2 are as follows: S201: Based on the fresh air alternative airflow operation state, obtain the oxygen concentration value at the end of the air supply and read the temperature control curve of the reaction chamber, extract the thermal response states at both ends of the heat exchanger, and analyze the change trend of the thermal response within the temperature control section to obtain the thermal response stable section; S202: Based on the thermal response stable section, obtain the state change record of the oxygen release channel within the section, identify the triggering times of the opening and closing actions during the thermal response, calculate the proportion value of the stable opening times to the total opening and closing times, and obtain the release rhythm stable proportion value; S203: Based on the release rhythm stable proportion value, analyze the release state according to the oxygen supply conditions, adjust the opening and closing amplitude of the channel and lock the current release interval, and obtain the oxygen maintenance replenishment state.

[0010] As a further solution of the present invention, the specific calculation formula for the proportion value of the stable opening times to the total opening and closing times is as follows: ; Among them, represents the proportion value of the stable opening times to the total opening and closing times, represents the th opening and closing action times detected in the thermal response, represents the average value of the opening and closing action times during the entire thermal response, represents the th time difference between two adjacent opening and closing actions in the th thermal response, represents the response amplitude weight corresponding to the th opening and closing action, represents the total opening and closing action times detected in the th record, represents the number of times identified as stable opening in the th detection, represents the average value of the stable opening times in all records,

[0011] As a further solution of the present invention, the specific steps of S3 are as follows: S301: Based on the oxygen maintenance supply state, synchronously read the operating state data of the compressor and the on-off frequency of the condensation section, extract the fluid velocity curves at the inlet and outlet of the condensation section, identify the velocity change trajectory within the continuous operation period of the condensation section, screen for flow lag phenomena, and obtain the flow velocity lag distribution characteristics of the condensation section; S302: Based on the flow velocity lag distribution characteristics of the condensation section, extract the compressor operation frequency change sequence within the corresponding period, identify the time sequence of the frequency change nodes and the flow velocity response nodes, calculate the average response time interval value between the nodes, compare the coverage relationship between the interval and the delay trigger time reference value, and generate the compressor response timing difference quantity; S303: Based on the compressor response timing difference quantity, analyze the delay state of the current operation rhythm, adjust the output of the refrigeration path of the compressor, correct the path control rhythm and set the path switching interval, and obtain the energy-saving suppression mode for the refrigeration working condition.

[0012] As a further solution of the present invention, the specific calculation formula for the average response time interval value between the nodes is: ; Wherein, represents the average response time interval value between the nodes, represents the total number of matching node pairs within the sampling period, represents the th time point of the flow velocity response node, represents the th time point of the frequency change node, represents the th average value of the flow velocity sequence corresponding to the node, represents the th average value of the frequency sequence corresponding to the node, represents the th standard deviation of the flow velocity sequence corresponding to the flow velocity node, is a positive floating-point constant to prevent the denominator from being zero.

[0013] As a further solution of the present invention, the specific steps of S4 are: S401: Based on the energy-saving suppression mode for the refrigeration working condition, extract the flow velocity and temperature data of the two hot airflows in the heat exchange module, identify the consistency of the flow direction, and extract the continuous sections with the same temperature gradient direction to generate the hot airflow same-direction section value; S402: Based on the hot airflow same-direction section value, read the temperature difference sequence between the heat exchange area and the reheating channel wall surface, identify the continuous temperature difference change section, calculate the ratio of the fluctuation frequency to the section length, and obtain the heat conduction continuity ratio value; S403: Based on the heat conduction continuity ratio value, perform crimping and guide the heat energy into the heat exchange channel. Combine the heat introduction and the response range of the heat exchange surface to obtain a reheating and reaction composite heat energy channel.

[0014] As a further solution of the present invention, the calculation formula of the ratio of the fluctuation frequency to the segment length is specifically: ; where Z c represents the ratio of the fluctuation frequency to the segment length, indicating the local maximum temperature difference value in the continuously changing segment, represents the local minimum temperature difference value in the continuously changing segment, represents the length of the continuously changing segment, represents the average temperature difference value of this segment, represents the instantaneous temperature difference peak value in the discontinuous segment, represents the length of this discontinuous segment, represents the area of the heat exchange surface area corresponding to this segment, represents the starting temperature difference of the discontinuous segment, represents the temperature difference value of the reference point in the heat exchange surface area.

[0015] As a further solution of the present invention, the specific steps of S5 are: S501: Based on the reheating and reaction composite heat energy channel, extract the air temperature, humidity and gas concentration data at the air supply end, call the main control setting state for item-by-item comparison, identify the consistent continuity of the data within the interval, and obtain the air supply data synchronization section value; S502: Based on the air supply data synchronization section value, extract the change directions of the air flow temperature, humidity and concentration within the corresponding time period, analyze the continuous co-directional change trend of the data, and identify the stability of the change state to obtain the change trend consistency state; S503: Based on the change trend consistency state, maintain the operating state and enter the stable control structure, make the air flow linkage relationship correspond to the main control target interval, and synchronously check the stability of the air path state to obtain the low-power refrigeration closed-loop operating state.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by monitoring the carbon dioxide concentration slope and freezing the damper state, adjusting the fresh air introduction, maintaining a clean environment with low air volume, combining the heat response of the heat exchanger to adjust the opening and closing ratio of the oxygen channel, analyzing the linkage between the compressor power and the condensation flow rate, correcting the path output, reducing the cold quantity lag, extracting the hot air flow direction and temperature difference distribution, guiding the heat reuse to the heat exchange channel, comparing the air temperature, humidity and gas concentration at the end with the main control state, identifying the synchronous change section, and constructing a closed-loop feedback path, the adjustment sensitivity and energy consumption accuracy are improved. Description of the Drawings

[0017] Figure 1 It is a schematic diagram of the step flow of the present invention; Specific embodiments

[0018] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. In addition, in the description of the present invention, "a plurality of" means two or more, unless otherwise specifically defined.

[0020] Please refer to Figure 1 , a method for cooling an operating room with ultra-low power consumption, comprising the following steps: S1: Continuously identify the monitored value of the carbon dioxide concentration in the main return air section of the operating room with the set standard, read the carbon dioxide concentration change curve, perform position analysis through the difference between the slope of the curve change in the recent period and the concentration threshold, perform carbon dioxide adsorption treatment, record the opening state of the air damper, detect the operating state of the fresh air module after the adsorption is completed, and freeze the air damper angle to obtain the operating state of the fresh air alternative air flow; S2: Based on the operating state of the fresh air alternative air flow, combined with the detection of the oxygen concentration at the end of the air supply, read the start state and temperature control time curve of the reaction chamber, analyze the heating continuous stability through the thermal response comparison at both ends of the heat exchanger, then read the flow stability index of the oxygen release channel, and adjust the opening and closing ratio of the passage according to the release trend to obtain the oxygen maintenance supply state; S3: Based on the oxygen maintenance supply state, synchronously read the operating state of the compressor and the on-off frequency of the condensation section, extract the fluid velocity curves before and after condensation, and analyze the distribution of the residual cold quantity section. Match the change period of the operating frequency with the lag change of the fluid velocity, screen the response timing of the delayed output, and adjust the operating passage of the compressor to obtain the energy-saving suppression mode of the refrigeration working condition; S4: Based on the energy-saving suppression mode of the refrigeration condition, extract the flow velocities and temperature distributions of the two hot airflows in the heat exchange module path, read the temperature difference between the heat exchange surface channel and the reheating channel wall surface, compare the directionalities of their heat fluxes, identify the convective structure characteristics, and simultaneously press the heat to the heat exchange surface channel to obtain the reheating and reaction composite heat energy channel; S5: Based on the reheating and reaction composite heat energy channel, extract the air temperature and humidity detection values at the air supply end and compare them with the main control set state, analyze the synchronism of the heat content, humidity deviation, and gas concentration change of the air flow, and conduct cross-analysis through the duration of the synchronous stable state and the fluctuation consistency among the data to obtain the low-power refrigeration closed-loop operation state.

[0021] The operation state of the fresh air replacement air flow includes the fixed angle of the air damper, the ventilation gas circulation path, and the residual carbon dioxide concentration value. The oxygen maintenance supply state includes the opening and closing ratio of the oxygen release channel, the heat response difference interval of the heat exchanger, and the stable oxygen supply concentration section. The energy-saving suppression mode of the refrigeration condition includes the compressor operation cycle, the flow velocity distribution in the condensation section, and the on-off response time series. The reheating and reaction composite heat energy channel includes the heat energy introduction path of the heat exchange surface, the stable hot air flow direction section, and the double-channel temperature difference superposition area. The low-power refrigeration closed-loop operation structure includes the trend of the heat content of the supply air, the continuous section of the humidity change, and the synchronous fluctuation range of the gas concentration.

[0022] The specific steps of S1 are as follows: S101: Obtain the carbon dioxide concentration monitoring value in the main return air section, read the current concentration change trend, identify the deviation direction of the continuously rising section from the set standard, extract the stage concentration trend characteristics after entering the pre-judgment area, and generate the concentration deviation trend value; Call the infrared gas concentration sensing module installed on the return air main pipe, record the volume fraction of carbon dioxide at the current sampling point once per minute, and the unit of the sensor output value is ppm. The system first needs to set a set value range. For example, 800 ppm to 1000 ppm is the control reference range. When the sampling value exceeds 800 ppm, it enters the trend monitoring stage. Subsequently, by continuously reading the data of three adjacent time points, extract the concentration change direction and determine whether there is a continuously rising section. For example, the readings at three time points t1, t2, and t3 are 815 ppm, 860 ppm, and 910 ppm respectively, which meet the continuous rising condition. After entering the trend recognition program, judge whether the offset direction points to the upper limit threshold range according to the slope direction and the increase rate of the current concentration curve within the monitoring period. During this process, if the set standard upper limit is 1000 ppm, the current 910 ppm is still within the control range, but according to the current increase in concentration per minute of 45 ppm, it is expected that the threshold will be exceeded in the next sampling period. Based on this, the system determines this section as the early warning trend area. After entering the pre-judgment stage, the system extracts the data sequence of this section within a fixed time window (such as 5 minutes) and determines whether it is in a rapid offset state. This judgment is not calculated by the average growth amount, but directly based on whether the set difference is exceeded within the minimum sampling point span. For example, if the increase exceeds 150 ppm for 3 consecutive minutes, it is classified into the intervention precondition state area. Subsequently, in this trend section, extract the polarity, duration, and starting interval slope symbol of the concentration change rate, and summarize them to form a trend feature combination. In different types of system structures, the logic of trend judgment can be differentially adapted through parameter configuration. For example, in an operating room with a gas treatment volume greater than 400 m³ / h, it is recommended to use a 3-minute span + 90 ppm change as the offset trend warning condition. The features formed within this range are called single-cycle strong upward trends. If this feature is maintained for two consecutive cycles, it is determined that this stage is the intervention trigger window, and a triple composed of the trend direction, duration, and concentration change rate is generated in the system variables, which is used as the response basis for the subsequent adsorption module. This triple is the concentration offset trend value.

[0023] S102: Based on the concentration offset trend value, enable the carbon dioxide adsorption device, record the current damper opening angle and the wind speed change, identify the damper response state under the adsorption state, and obtain the adsorption response stability; First, the trend value needs to be compared with a preset startup range. This range is generally defined as the state where the gas concentration change rate exceeds 45 ppm / minute and the continuous growth time reaches 3 minutes. When the trend value identifier is transmitted from the upstream subunit, the main control relay of the adsorption unit can be directly triggered to execute the startup instruction of the adsorption device. During the startup process, record the damper opening angle corresponding to the startup moment. This angle is read by the rotation encoder of the damper control motor, usually in the range of 0 to 90 degrees. For example, the current reading value is 62°. At the same time, collect the wind speed value in the ventilation channel at this time. This data is obtained by the wind speed probe installed in the pipeline, with the unit of m / s. If the wind speed is 2.5 m / s before the startup of the adsorption device and drops to 2.1 m / s after the startup, it is necessary to identify whether this downward trend is caused by the increased flow resistance due to adsorption. After collecting the initial data, continue to monitor whether the change of the damper angle during adsorption remains stable, and make a judgment in combination with the change direction of the wind speed to confirm whether it shows a convergent trend. If the damper angle remains within ±2° in two consecutive sampling periods and the change direction of the wind speed is the same, it is determined as the stable response stage. Taking the operating room scenario as an example, for an air system with a supply air volume of 250 m³ / h, after the startup of the adsorption device, the change of the damper angle should generally be controlled within 3°. Exceeding this may reflect the instability of the damper adjustment. The damper angle fluctuation threshold can be set to 5°. If the actual fluctuation is less than this value, it is considered to meet the response requirements. Further, combine the wind speed change curve to judge its trend during adsorption. If it shows a continuous downward slightly varying in the same direction instead of oscillating and rising, it indicates that the current damper - wind speed state shows a stable response. This judgment result is used to synchronously reflect the linkage between the adsorption efficiency and the air duct adaptability. Finally, classify the performance of the current damper response signal into a stability level as the recording basis for control parameters to obtain the adsorption response stability.

[0024] S103: Based on the adsorption response stability, detect the fresh air operation state after adsorption, analyze the consistency between the damper instruction and the actual execution situation, freeze the damper angle and lock the wind speed to obtain the fresh air alternative air flow operation state; First, extract the target opening angle command value of the air damper, for example, set to 45°. Subsequently, read the feedback angle value of the air valve control motor, for example, 46.2°. Directly compare the two to determine whether the deviation is within the allowable range. The deviation tolerance is defined as ±3°. If the deviation is 1.2°, it meets the consistency requirement. At the same time, extract the wind speed control signals for the fresh air part, including the set value and the feedback value. For example, the wind speed is set at 2.8 m / s and the feedback is 2.7 m / s, with a deviation of 0.1 m / s, which is within the upper limit of the control deviation of ±0.3 m / s, thus completing the consistency confirmation of the wind speed signal. If both the air damper angle command and the wind speed target value fall within the allowable deviation range and the feedback signal is normal, it can be determined that the current operation state conforms to the control requirements. This judgment process needs to cover two consecutive sampling periods to avoid the influence of instantaneous signal interference on the judgment result. After the judgment is completed, the control device will send a freezing command to the air damper control end to keep the current air damper angle unchanged, stop automatic adjustment, and lock the wind speed set value as the current feedback value. For example, the freezing angle is 46.2° and the locked wind speed value is 2.7 m / s. This freezing information is synchronously fed back to the main control interface to indicate that the current air flow path has been switched to the non-fresh air supply mode, and the air circulation is completely controlled by the return air and gas regulation parts, obtaining the operating state of the fresh air alternative air flow.

[0025] The specific steps of S2 are as follows: S201: Based on the operating state of the fresh air alternative air flow, obtain the oxygen concentration value at the end of the air supply and read the temperature control curve of the reaction chamber. Extract the thermal response states at both ends of the heat exchanger and analyze the change trend of the thermal response within the temperature control section to obtain the stable section of the thermal response. First, it is necessary to start the oxygen concentration sensing device installed at the air supply end. The position is generally set at the end of the air duct or the front section of the exhaust circuit. It uses the electrochemical detection principle for real-time sampling, and the reading frequency can be set to once per minute. The monitoring reference range is set from 20.5% to 21.5%. When the detected value falls within this range, start recording the reading sequence for 5 consecutive minutes to judge the stability of the oxygen concentration during the oxygen supply adjustment process. Then, enter the process of reading the temperature change curve of the reaction cavity. The temperature control data is sourced from the thermistors installed at both ends of the cavity. The cavity is heated by a heating film, and the temperature of the heat exchange surface usually remains between 38°C and 42°C. Extract the temperature change trajectory for the past 10 minutes to identify whether the temperature control change is in a linearly rising or maintaining stage, and judge whether the current adjustment is stable through the relationship between the temperature points and the time series. Subsequently, read the thermal response states at both ends of the heat exchanger, respectively obtain the temperature sensor voltage conversion values at the left and right ends, and calculate the temperature difference through proportional conversion. If the temperature difference continuously remains below 1.5°C, it indicates that the left and right heating distributions are balanced and there is no thermal drift. Combining the temperature control curve and this thermal response data, further identify the trend of the thermal response change. In this process, instead of using the average temperature for judgment, it is determined based on the continuity of the temperature difference direction to identify whether the heat conduction state is balanced. For example, in three consecutive time periods, if the change order is high on the left and low on the right → the same on the left and right → high on the left and low on the right, it indicates that the trend is discontinuous and does not meet the stability requirements; but if all three stages are high on the left and low on the right, and the fluctuation range is less than ±0.8°C, it can be regarded as the trend direction being consistent and the change converging, and it is judged that the current is in a temperature control stable state. In the operating room environment, this heat response equilibrium state usually appears within 3 to 5 minutes after the heating starts. If a heat response consistent pattern is formed during this stage, record the start and end times and the duration of this section, and generate a data sequence including the response direction, consistency identification, and duration to obtain the heat response stable section.

[0026] S202: Based on the heat response stable section, obtain the state change record of the oxygen release channel within the section, identify the number of trigger times of the opening and closing actions during the heat response, calculate the proportion value of the stable opening times to the total opening and closing times, and obtain the release rhythm stability proportion value; The specific calculation formula for the proportion value of the stable opening times to the total opening and closing times is: ; Among them, represents the proportion value of the stable opening times to the total opening and closing times, represents the th number of opening and closing actions detected in the heat response, represents the average value of the number of opening and closing actions during the entire heat response period, represents the th time difference between two adjacent opening and closing actions in the th heat response, The response amplitude weight corresponding to the opening and closing action represents the total number of opening and closing actions detected in the th record, represents the number of times identified as stable opening in the th detection, represents the average value of the number of stable openings in all records,

[0027] is set within the actual range and is calculated through historical data extraction, response curve analysis, and amplitude normalization processing. The data is as follows: Number of opening and closing actions 20, 15, 22, 18, 19, average value ; Time difference between adjacent opening and closing actions (unit: seconds), collected from the trigger timestamps of the sensor nodes; Response amplitude weight , which is mapped to the range of 0.8 - 1.3 after standardizing the sensor amplitude data, and the weight changes linearly with the response amplitude; Number of stable openings , average value ; The simplified operation process is as follows: Calculation of the numerator part: ; Calculation of the denominator part: ; Substitute into the formula to calculate the ratio: ; This result indicates that the action trigger ratio during the heat response period is approximately 19.7%, which means that the stable opening state accounts for 19.7% of the total opening and closing actions in the current acquisition cycle. This value is used as the stable release rhythm ratio value to participate in the final index output.

[0028] S203: Based on the stable release rhythm ratio value, analyze the release state according to the oxygen supply conditions, adjust the opening and closing amplitude of the channel, lock the current release interval, and obtain the oxygen maintenance replenishment state; First, identify whether the current ratio value is within the set oxygen supply continuity standard interval, which is usually expressed as the percentage of the number of stable openings to the total number of channel actions. For example, within a 5 - minute cycle, the release valve is opened 20 times in total, and 15 of them maintain a stable flow rate for more than 5 seconds, which can be recorded as a stable release ratio of 75%. This value has reached the set oxygen supply stability threshold of 60%. After the conditions are met, enter the channel adjustment process.

[0029] Next, extract the channel number corresponding to the current release state and call the flow output range data of this channel. For example, if the output range of the current channel is set to 200 - 350 mL / min, first read its average release flow rate and determine the distribution position. For example, if the average flow rate is 270 mL / min, which is at a relatively low position in the middle of the interval. On this basis, adjust the opening and closing amplitude of the channel. Without changing the opening frequency, optimize the opening duration or shorten the closing interval. For example, if it was originally set to open once every 20 seconds and each opening lasts for 6 seconds, it can be adjusted to open for 7 seconds while keeping the interval unchanged, and at the same time ensure that the release flow rate is controlled within the range of ±20 mL / min to meet the stability requirements of the oxygen supply rhythm. After the adjustment, record the output interval, the change of opening and closing time, and the flow rate stability of this channel within two consecutive adjustment cycles, and compare with the control target value, setting the allowable deviation not to exceed 5%. Combining with the target oxygen supply concentration interval, for example, set to 21.0% ± 0.5%, if the oxygen concentration of five consecutive samples is within this interval, it can be determined that the current release behavior is stable and meets the oxygen supply standard.

[0030] Finally, lock the opening and closing logic configuration of this channel as "single-cycle stable segment", and output the current oxygen supply stable state of this channel to obtain the oxygen maintenance replenishment state.

[0031] The specific steps of S3 are as follows: S301: Based on the oxygen maintenance replenishment state, synchronously read the compressor operation state data and the on-off frequency of the condensation section, extract the fluid velocity curves at the inlet and outlet of the condensation section, identify the velocity change trajectory within the continuous operation cycle of the condensation section, screen out the flow lag phenomenon, and obtain the flow rate lag distribution characteristics of the condensation section; First, it is necessary to synchronously read the compressor operating status data and the on-off frequency of the condensation section. This operation is performed by the control host by simultaneously calling the compressor operation log and the action feedback signal of the condenser solenoid valve. The operating status data includes indicators such as compression ratio, power load, and output temperature, which are recorded according to the periodic time axis; while the on-off frequency is identified based on the opening and closing times recorded at the sampling points under the valve control logic. For example, within a 10-minute monitoring window, if the compressor runs continuously for 7 minutes and stops for 3 minutes, it is recorded as a "long-on short-off" frequency sequence. The corresponding fluid state of the condensation section will be monitored by flow velocity sensors installed at the condensation inlet and outlet. The sensors update the data once per second, which is used to draw the flow curve image to reflect the flow velocity changes before and after the condensate. For example, if the inlet flow velocity remains at 0.65 m / s, and the outlet flow velocity only rises to 0.58 m / s 3 seconds after the valve opens, such a difference in the front and rear responses is identified as the response delay stage. For easy analysis, at least three complete on-off cycles within the condensation section should be captured. For each cycle, a flow velocity response trajectory diagram is drawn, and the inlet and outlet curves are aligned on the time axis for comparative analysis of the trend directions. If the inlet flow velocity starts to respond within 1 second after the on-off action, while the outlet flow velocity shows an obvious change only after 3 seconds, it can be determined that there is a 2-second flow response lag in this cycle. By statistically analyzing and analyzing the lag values of multiple cycles, paragraphs with periodic lag characteristics can be screened out. Especially during "long-on short-off" or when the load rate increases, if the lag phenomenon repeats, it indicates that there is a coupling problem of slow response and uneven condensation conduction in the current operating state. For such characteristics, coding and sorting can be performed to generate a data record containing the start and end times of the lag, the delay length, and the cycle label, which is used as a reference for adjustment in the subsequent energy-saving control logic to obtain the flow velocity lag distribution characteristics of the condensation section.

[0032] S302: Based on the flow velocity lag distribution characteristics of the condensation section, extract the sequence of changes in the compressor operating frequency within the corresponding period, identify the time sequence of the frequency change nodes and the flow velocity response nodes, calculate the average response time interval value between the nodes, compare the coverage relationship between the interval and the delay trigger time reference value, and generate the compressor response timing difference amount; The specific calculation formula for the average response time interval value between the nodes is: ; Among them, represents the average response time interval value between the nodes, represents the total number of matching node pairs within the sampling period, represents the th time point of the flow velocity response node, represents the th time point of the frequency change node, represents the The average value of the flow velocity sequence corresponding to a node, represents the average value of the frequency sequence corresponding to the th node, represents the standard deviation of the flow velocity sequence corresponding to the th flow velocity node, is a positive floating-point constant to prevent the denominator from being zero; Assume that various values are: seconds, seconds, m / s, Hz, ; Taking the data of the first pair of nodes as an example, substitute it into the formula for calculation: ; The calculation steps are refined as follows: seconds; ; ; ; This result indicates that the calculated average response time interval value represents the average adjustment time between the flow velocity response and the frequency change within the set period. This time interval is a direct quantification of the compressor's dynamic response ability and is used to further evaluate the performance adjustment of the compressor and its efficiency during actual operation. Through this value, the operating parameters of the compressor can be optimized to improve its response efficiency.

[0033] S303: Based on the difference quantity of the compressor response time series, analyze the delay state of the current operating rhythm, adjust the output of the compressor refrigeration path, correct the path control rhythm and set the path switching interval to obtain the energy-saving suppression mode for the refrigeration working condition; First, analyze the possible delay status in the current operating rhythm. It is necessary to extract the start and stop time points of each operation from the real-time operation log of the compressor, and conduct a time-axis comparison in combination with the change moment of the flow rate response in the condensation section to determine whether there are repeated delay offset characteristics during the on-off switching process in the current operating mode. The analysis process needs to compare the time difference between the issuance of each control signal and the time when the corresponding flow rate enters the stable state. If the response lags exceed the set reference interval (such as 5 seconds) in two or more consecutive on-off cycles, it is marked as a rhythm imbalance state. After entering the rhythm adjustment process, first read all the switching control point information included in the current refrigeration path, extract the on-off instruction sequence of each control point during the delay period, and judge the specific source of the delay one by one. According to the time comparison logic, judge whether the delay is due to the untimely response of the compressor, insufficient condenser buffer, or delayed channel feedback. For example, if there is no obvious change in the wind speed within 1 second after the on-off signal of the compressor is issued, it can be judged as a problem caused by output delay. After confirming the reason, adjust the refrigeration output path of the compressor. The adjustment methods include restricting the on-off times in the next cycle or extending the duration of each opening. For example, if it was originally set to turn on 4 times every 10 minutes, each time for 2 minutes, it can be changed to turn on 2 times every 10 minutes, each time for 4 minutes, so as to reduce the response offset caused by frequent switching. Subsequently, reset the path switching interval parameter, which is derived from the above adjustment results. For example, set the shortest opening interval of the compressor to not less than 240 seconds. After each control cycle is completed, conduct a comparison and verification of the switching frequency and interval parameters. If the actual control process meets the set standards, mark this cycle as an energy-saving rhythm effective section. When three consecutive cycles all meet the control stability conditions, the current operating mode state is determined to be in the energy-saving suppression mode under the refrigeration condition.

[0034] The specific steps of S4 are as follows: S401: Based on the energy-saving suppression mode under the refrigeration condition, extract the flow rate and temperature data of the two hot airflows in the heat exchange module, identify the consistency of the flow directions, and extract the continuous sections with the same temperature gradient direction to generate the hot airflow same-direction section value; Call the wind speed sensors and thermocouple devices installed at the inlet and outlet sections of the main heat exchanger to read the instantaneous velocity of the air flow in two independent channels and the temperature values at corresponding time points. The sampling period is set to once every 10 seconds, and no less than 6 sets of complete data acquisition point pairs are completed within 60 seconds of continuous sampling. Each set of acquisition points includes the channel number, air flow direction, flow velocity value, gas temperature, and acquisition time. In the stage of identifying the consistency of the air flow direction, by comparing the velocity vectors of the two air flow channels with the air duct layout direction, it is judged whether the direction identifiers are consistent. For example, if the air flows in both channels are marked as the positive direction (flowing from the heat exchanger end to the return air outlet direction), it is judged that the directions are consistent; if the air flow in one of the channels is reverse (such as flowing from the return air outlet to the heat source end), it is regarded as the directions are inconsistent. The direction comparison is the core basis for judgment. On the basis of confirming the direction consistency, further analyze the temperature data, extract the temperature gradient trend from each pair of data with consistent directions, and judge whether it shows a co-directional structure, that is, whether the air flow temperature continuously rises or continuously decreases along the channel direction. If the temperature shows an increasing or decreasing trend at three adjacent sampling points, this section of data can be classified into the co-directional temperature gradient section. For example, if the temperatures at times t1, t2, and t3 in channel 1 are 32.4 °C, 33.1 °C, and 33.7 °C respectively, and those in channel 2 are 34.0 °C, 34.5 °C, and 35.0 °C, it is judged that this section is a section with a co-directional rising temperature gradient. If this trend lasts for no less than 30 seconds in time and there is no direction reversal phenomenon, it is recorded as a stable co-directional flow temperature section. Combining with the change trend of the channel flow velocity, the stability of the flow can be further judged. Finally, summarize the data segments with consistent flow velocity directions, co-directional temperature gradients, and continuous time meeting the conditions, mark them as "hot air co-directional operation sections", and record the start and end times, channel numbers, and flow velocity ranges to generate the corresponding hot air co-directional section values.

[0035] S402: Based on the hot air co-directional section values, read the temperature difference sequence between the heat exchange surface and the reheating channel wall surface, identify the continuous temperature difference change segments, calculate the ratio of the fluctuation frequency to the segment length, and obtain the heat conduction continuity proportion value; The specific calculation formula for the ratio of the fluctuation frequency to the segment length is: ; Among them, Z c represents the ratio of the fluctuation frequency to the segment length, represents the local maximum temperature difference value in the continuous change segment, represents the local minimum temperature difference value in the continuous change segment, represents the length of this continuous change segment, represents the average temperature difference value of this segment, represents the instantaneous temperature difference peak value in the discontinuous segment, represents the length of this discontinuous segment, represents the area of the heat exchange surface area corresponding to this segment, Represents the starting temperature difference of the discontinuous section, represents the temperature difference value of the reference point in the heat exchange surface area; Parameter definition: = 0.8 °C, = 0.3 °C, = 2.5 m, = 0.5 °C, = 1.2 °C, = 1.0 m, = 5.0 m², = 0.2 °C, = 0.6 °C; Calculation steps and formula derivation: Substitute the above values into the numerator part: ; Calculate the denominator part: ; Substitute into the complete formula: ; The result shows that the heat conduction continuity ratio value is 2.53, indicating that within the monitored section between the heat exchange surface and the reheating channel wall surface, the temperature difference change is dominated by continuous sections, and the heat transfer process exhibits higher stability. This value can be used for subsequent system heat stability evaluation and structural performance correlation analysis.

[0036] S403: Based on the heat conduction continuity ratio value, perform crimping and guide the heat energy into the heat exchange surface channel, and combine the heat energy introduction and the heat exchange surface response range to obtain the reheating and reaction composite heat energy channel.

[0037] First, call the heat flux import trend data recorded during the heat exchange process. This data covers the continuity of the temperature difference response on both sides of the heat exchange surface channel and the reheating channel during the heat transfer process. The set ratio determination method is: the proportion of the time during which the temperature difference change directions of the two channels remain the same and there is no reverse jump within a set time period. If the detection window is 60 seconds and the same-direction conduction trend lasts for more than 45 seconds, the ratio value is 75%, meeting the condition for starting the crimping. The crimping action is completed by a contact unit composed of a high-thermal-conductivity metal contact surface, and the heat energy fluid channel is attached to the heat exchange surface heat conducting sheet through the actuator. Before starting the crimping, it is necessary to confirm that the temperature of the heat exchange surface channel is at least 5°C lower than the inlet temperature of the heat conduction channel to ensure the gradient basis for heat transfer. For example, if the temperature of the heat exchange surface channel is 34°C and the temperature of the heat conduction channel is 40.5°C, the crimping action can be started after meeting this condition. The actuator then quickly completes the closing operation and continuously maintains it for at least 30 seconds without detachment. During this holding process, record whether the temperature of the crimping surface shows a continuous upward trend. If the temperature of the heat exchange surface channel rises from 34°C to 37°C during the process, it can be judged that the conduction state has been established and heat energy begins to flow into the heat exchange surface channel. Further confirm the import effect by measuring the temperature difference change inside and outside the heat exchanger. If the temperature difference before import is 6.5°C and it drops to 3.2°C after import, it indicates that the heat energy import is sufficient. Next, extract the heat response image of the heat exchange surface, which is generated by a multi-point thermistor array, and return the temperature values of each detection point. For example, if a constant temperature rise area with an area exceeding 40 cm² is formed at the center of the heat exchanger and the temperature difference gradient in the peripheral area uniformly expands outward, it is determined that the heat response has been effectively established. Compare the coordinate data of the heat guiding starting point and the heat exchange surface response position. If the overlapping area reaches more than 75%, it can be confirmed that the heat energy has achieved effective coupled conduction. Finally, integrate and summarize the heat energy import path, heat exchange surface response data, crimping start and end times, and temperature rise response conditions, and file them as the reheating and reaction coupled heat channel.

[0038] The specific steps of S5 are as follows: S501: Based on the reheating and reaction composite heat energy channel, extract the air temperature, air humidity, and gas concentration data at the air supply end, call the main control set state for item-by-item comparison, identify the consistent continuity of the data within the interval, and obtain the synchronous section value of the air supply data; First, call the multi-parameter detection device arranged at the end of the air supply duct, which includes a thermistor air temperature sensor, a capacitive humidity sensor, and an electrochemical gas concentration sensor, and is used to record the temperature, relative humidity, and volume fraction data of the target gas (such as oxygen or carbon dioxide) at the current time point respectively. The sampling period of all data is uniformly set to once every 10 seconds, and the acquisition results are packed in chronological order and uploaded to the main control unit. After the detection data is uploaded, it is compared item by item with the preset target state. In the target state, the temperature setting range is 21°C to 23°C, the humidity range is 45% to 55%, and the gas concentration range is 20.8% to 21.2%. During the comparison process, a logical judgment process is used to check whether multiple consecutive sampling points are all within the target range in turn. If within 6 consecutive sampling periods, all three data are within the set range and there is no record of any item crossing the boundary, it can be determined that this data segment meets the consistency condition. During the judgment process, special processing is required for the edge data points. For example, if a set of temperature is 23.1°C appears in the sampling sequence, while the rest are 22.6°C, 22.4°C, 22.2°C, etc., then 23.1°C is regarded as an abnormal point and excluded, and the judgment is re-performed in a sliding manner, with continuous consistency as the primary judgment basis. After the consistency is confirmed, record the start and end times of this data segment and the corresponding sampling point numbers. Subsequently, splice this data segment with the record of the previous cycle on the time axis to determine whether a continuous state segment across cycles can be formed. For example, if the end time of the previous segment is 15:10:00 and the start time of this segment is 15:10:10, and the interval between the two does not exceed the set discontinuous threshold (such as 20 seconds), then they are merged into a complete air supply state segment. Finally, identify and number the data segments that simultaneously meet the target settings and are continuously stable in the time dimension for the three types of detection data of air temperature, air humidity, and gas concentration, and obtain the corresponding air supply data synchronization section value.

[0039] S502: Based on the air supply data synchronization section value, extract the change directions of the air temperature, humidity, and concentration within the corresponding time period, analyze the continuous same-direction change trend of the data, and identify the stability of the change state to obtain the change trend consistency state; First, determine the direction of the numerical difference between adjacent sampling points in the temperature curve. For example, when the sampling value sequence is 21.2°C, 21.5°C, 21.8°C, 22.0°C, it can be recognized as a continuous rising trend. The same judgment logic applies to the humidity and gas concentration parameters. If the three parameters all show the same-direction change in at least three consecutive sampling points, that is, all rising or all falling, then this section can be determined as a same-direction trend section and enter the trend analysis stage. In this stage, the average change amplitude and the maximum difference within the trend section will be extracted, and the balance degree of the change rates of each item will be compared item by item to identify the stability of the trend. For example, the temperature changes are +0.3, +0.3, +0.2, the gas concentration changes are +0.2, +0.2, +0.3, and the humidity changes are -1.5%, -1.6%, -1.4%. In the above cases, the change directions are the same, and the amplitude difference is controlled within ±0.2 units, meeting the judgment conditions for consistent changes. On this basis, continue to read the number of data points and the total duration of the entire trend section. If the change duration exceeds the set standard (such as more than 30 seconds) and there is no direction reversal, then this paragraph can be recognized as a stable trend section. At the same time, check the response delay between the three change curves to confirm whether it remains within the allowable range (for example, the time difference does not exceed one sampling period). If the temperature, humidity, and concentration three indicators show synchronous or approximately synchronous responses at the peak or inflection point, it will further strengthen the judgment basis for the stability of the trend coupling. Finally, this section of data can be regarded as a changing segment with continuity, same-directionality, and synchrony in the time series of the three indicators of air flow temperature, humidity, and concentration, and record the corresponding time period, participating parameters, and trend direction to obtain the consistency state of the change trend.

[0040] S503: Based on the consistency state of the change trend, maintain the operating state and enter the stable control structure, make the air flow linkage relationship correspond to the main control target interval, and simultaneously check the stability of the air duct state to obtain the low-power refrigeration closed-loop operating state; First, confirm that the current three air supply data, namely air temperature, air humidity, and gas concentration, have not undergone sudden changes in the offset direction and there is no drift behavior beyond the main control range within a continuous cycle. Call the change trend curve formed in the previous cycle, and respectively perform coverage judgment on the temperature rising section, humidity falling section, and concentration fluctuation section in it with the threshold range set by the main control. For example, the set interval is 21.0°C to 23.0°C for temperature, 45% to 55% for humidity, and 20.8% to 21.2% for oxygen concentration. If any sampling point does not cross the boundary and the change direction is consistent in three consecutive cycles, then this state can be locked as a stable trend section. Subsequently, mark this operation stage as a transition section and trigger the control mode to switch to the stable operation logic. In this logic, automatically freeze the compressor start frequency, air speed adjustment rate, and the return air flow ratio value under the current energy-saving control. Then enter the linkage comparison process of the target intervals of air volume and air speed. In this process, extract three parameters, namely the air speed value, the damper opening angle, and the static pressure value at the rear section of the filter, from the current air flow state to construct a linkage relationship model of the air flow channel. For example, if the current air speed is 2.6 m / s, the damper opening angle is 48°, and the static pressure is 320 Pa, this set of data will be compared with the target output value in the stable operation standard model for relative deviation. If all three deviations are less than 3%, it is determined that the main control target interval has been covered. At the same time, enter the air duct state detection stage. The detection points are set at three positions: the main pipeline, the rear section of the filter, and the air supply end. Respectively extract the micro amplitude volatility of the air speed, the compensation response value of the return air speed, and the change amplitude of the end air pressure in the stable mode. If none of these three parameters show response lag, sudden speed jump, or pressure offset exceeding ±5 Pa in two consecutive cycles, it can be regarded that the air duct state is at a stable level. Finally, on the premise that both the linkage relationship of the air supply data and the air duct response state meet the stable interval, the current control mode will be marked as the low-power refrigeration closed-loop operation state.

[0041] The above are only the preferred embodiments of the present invention, and do not limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. An ultra-low power consumption operating room cooling method, characterized in that: The following steps are involved: S1: Obtain the carbon dioxide concentration in the main return air section and continuously compare it with the set standard, read the difference between the slope of the concentration curve and the threshold, perform carbon dioxide adsorption, record the damper status and freeze the fresh air inlet, and obtain the operation status of the fresh air replacement airflow; S2: Based on the operation state of the fresh air replacement airflow, the terminal oxygen concentration and the cavity temperature control curve are read, the heating continuity is analyzed through the thermal response of the heat exchanger, the oxygen release channel is adjusted, and the oxygen maintenance supply state is obtained; S3: Based on the oxygen maintenance supply state, the compressor power and condensation frequency are synchronously read, the flow rate before and after condensation is extracted, the residual cooling capacity and the operation cycle lag are analyzed, the delayed response is screened and the path is adjusted to obtain the energy-saving suppression mode of the refrigeration condition; S4: Based on the energy-saving suppression mode of the refrigeration condition, extract the double-pass hot air flow data and the temperature difference of the passage, analyze the heat flux direction, press the heat to the heat exchange channel, and obtain the reheat and reaction composite heat energy channel; S5: Based on the reheat and reaction composite heat energy channel, the air temperature, humidity and gas concentration at the air supply terminal are extracted, compared with the main control settings, the data synchronization is analyzed, and the low-power consumption refrigeration closed-loop operation state is obtained.

2. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that: The fresh air replacement airflow operation state includes the damper fixed angle, the ventilation gas circulation path, and the carbon dioxide residual concentration value; the oxygen maintenance supply state includes the opening and closing ratio of the oxygen release channel, the heat exchanger thermal response difference interval, and the oxygen supply concentration stable section; the refrigeration condition energy-saving inhibition mode includes the compressor operation cycle, the condensing section flow rate distribution, and the on-off response time series; the reheat and reaction composite thermal energy channel includes the heat exchanger heat energy introduction path, the hot air flow direction stable section, and the dual-channel temperature difference overlap area; the low-power refrigeration closed-loop operation structure includes the supply air heat content trend, the rheological change continuous section, and the gas concentration synchronous fluctuation range.

3. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that: The specific steps of S1 are: S101: Obtain the carbon dioxide concentration monitoring value of the main return air section, read the current concentration change trend, identify the deviation direction of the continuous rising section from the set standard, extract the stage concentration trend characteristics after entering the prediction area, and generate the concentration deviation trend value; S102: Based on the concentration deviation trend value, the carbon dioxide adsorption device is activated, the current damper opening angle and wind speed change are recorded, the damper response state under the adsorption state is identified, and the adsorption response stability is obtained; S103: Based on the adsorption response stability, the fresh air action state after the adsorption is completed is detected, the consistency between the damper command and the actual execution is analyzed, the damper angle is frozen and the wind speed is locked, and the fresh air replacement airflow operation state is obtained.

4. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that: The specific steps of S2 are: S201: based on the operation state of the fresh air replacement airflow, obtain the oxygen concentration value at the air supply end and read the temperature control curve of the reaction chamber, extract the thermal response state at both ends of the heat exchanger, analyze the thermal response change trend in the temperature control section, and obtain the thermal response stable section; S202: Based on the thermal response stable section, obtaining the state change record of the oxygen release channel in the section, identifying the triggering times of the opening and closing actions during the thermal response period, calculating the ratio of the stable opening times to the total opening and closing times, and obtaining the release rhythm stable ratio value; S203: Based on the release rhythm stable ratio value, the release state is analyzed according to the oxygen supply condition, the channel opening and closing amplitude is adjusted and the current release interval is locked to obtain the oxygen maintenance supply state.

5. The ultra-low power consumption operating room refrigeration method according to claim 4, characterized in that: The specific calculation formula of the ratio of the stable opening times to the total opening and closing times is: ； in, Represents the ratio of stable opening times to total opening and closing times. Representative The number of opening and closing actions detected by the thermal response, Represents the average number of opening and closing actions during the entire thermal response period, Representative The time difference between two adjacent opening and closing actions in the secondary thermal response, Representative The response amplitude weight corresponding to the opening and closing action, Representative The total number of opening and closing actions detected in the record, Representative The number of times it is identified as stable opening in the detection, Represents the average number of stable opening times in all records, Represents the total number of detections counted during the thermal response period.

6. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that: The specific steps of S3 are: S301: Based on the oxygen maintenance supply state, synchronously read the compressor operation state data and the on-off frequency of the condensing section, extract the fluid flow velocity curves at the inlet and outlet of the condensing section, identify the flow velocity change trajectory during the continuous operation cycle of the condensing section, screen the flow hysteresis phenomenon, and obtain the flow velocity hysteresis distribution characteristics of the condensing section; S302: Based on the hysteresis distribution characteristics of the flow rate in the condensing section, extract the compressor operation frequency change sequence in the corresponding period, identify the time sequence of the frequency change node and the flow rate response node, calculate the average response time interval value between the nodes, compare the coverage relationship between the interval and the delay trigger time reference value, and generate the compressor response timing difference; S303: Based on the compressor response timing difference, the delay state of the current operating rhythm is analyzed, the output of the compressor refrigeration path is adjusted, the path control rhythm is corrected and the path switching interval is set to obtain the refrigeration condition energy-saving suppression mode.

7. The ultra-low power consumption operating room refrigeration method according to claim 6, characterized in that: The calculation formula of the average response time interval between the nodes is specifically: ； in, Represents the average response time interval between nodes. Represents the total number of matching node pairs within the sampling period, Representative The time point of the flow rate response node, Representative The time point of the frequency change node, Representative The average value of the velocity series corresponding to each node, Representative The average value of the frequency sequence corresponding to each node, Representative The standard deviation of the velocity sequence corresponding to the velocity node is A positive floating point constant to prevent the denominator from being zero.

8. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that: The specific steps of S4 are: S401: based on the energy-saving suppression mode of the refrigeration condition, extracting the flow velocity and temperature data of two hot air flows in the heat exchange module, identifying the consistency of the flow direction, and extracting the continuous sections with the same temperature gradient, and generating the same-direction section value of the hot air flow; S402: Based on the hot air flow co-directional section value, read the wall temperature difference sequence of the heat exchange channel and the reheat channel, identify the continuous temperature difference change section, calculate the ratio of the fluctuation frequency and the section length, and obtain the heat conduction continuity ratio value; S403: Based on the heat conduction continuity ratio value, perform crimping and guide heat energy into the heat exchange channel, and combine the heat introduction and the heat exchange surface response range to obtain a reheat and reaction composite heat energy channel.

9. The ultra-low power consumption operating room refrigeration method according to claim 8, characterized in that: The calculation formula of the ratio of the fluctuation frequency to the segment length is specifically: ； Among them, Z c Represents the ratio of fluctuation frequency to segment length, indicating the local maximum temperature difference in the continuous change segment. Indicates the local minimum temperature difference in the continuous change section, Indicates the length of the continuous change segment, Indicates the average temperature difference of this section, represents the instantaneous peak temperature difference in the discontinuous segment, Indicates the length of the non-continuous segment. Indicates the area of ​​the heat exchange surface corresponding to this section, Indicates the starting temperature difference of the discontinuous section, Represents the temperature difference of the reference point in the heat exchange surface area.

10. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that: The specific steps of S5 are: S501: Based on the reheat and reaction composite heat energy channel, extract the air temperature, humidity and gas concentration data of the air supply terminal, call the main control setting state to compare item by item, identify the data is consistent and continuous within the interval, and obtain the synchronous segment value of the air supply data; S502: based on the synchronous segment value of the air supply data, extract the change direction of the airflow temperature, humidity and concentration in the corresponding time period, analyze the continuous same-direction change trend of the data, identify the stability of the change state, and obtain the consistency state of the change trend; S503: Based on the consistency state of the change trend, the operation state is maintained to enter a stable control structure, so that the airflow linkage relationship corresponds to the main control target interval, and the stability of the air path state is checked simultaneously to obtain a low-power consumption refrigeration closed-loop operation state.

Images