An ultra-low power consumption refrigeration method for operating rooms

Abstract

The present invention relates to the technical field of energy-saving refrigeration, and specifically provides an ultra-low power consumption refrigeration method for operating rooms, which includes the following steps: obtaining the carbon dioxide concentration and freezing the fresh air inlet, reading the oxygen concentration and the temperature control curve to adjust the oxygen release channel, linking the operating state of the compressor and the condensation flow rate to correct the path output, guiding heat into the heat exchange surface channel, extracting the air supply data and analyzing the synchronization trend to obtain the low power consumption refrigeration closed-loop operating state. In the present invention, by monitoring the slope of the carbon dioxide concentration and freezing the damper state, the fresh air introduction is adjusted, and the low air volume maintains a clean environment. Combining the heat response of the heat exchanger to adjust the opening and closing ratio of the oxygen channel, the compressor power and the condensation flow rate are analyzed in a linked manner to correct the path output, reduce the cold quantity lag, extract the hot air flow direction and the temperature difference distribution, guide the heat to be reused to the heat exchange channel, compare the terminal air temperature, humidity and gas concentration with the main control state, identify the synchronous change section, and construct a closed-loop feedback path to improve the adjustment sensitivity and energy consumption accuracy.

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 encompasses control methods, structural design, and system integration processes for optimizing the energy efficiency of refrigeration systems, aiming to reduce energy consumption while meeting ambient temperature control requirements. The core content of this technology includes energy-efficient management of compression refrigeration cycles, improved heat exchange efficiency during condensation and evaporation, optimized selection of refrigerant types and flow paths, and low-power design of control strategies. The overall technical system encompasses the selection of fixed-frequency and variable-frequency compressor operating modes, expansion valve flow regulation mechanisms, heat exchanger surface structure design, coordinated control of fan speed and operating time, electronic control unit start-stop logic, and feedback strategies linked to environmental parameters, forming a multi-technology combination with the core goal of minimizing energy consumption.

[0003] Among them, the ultra-low power operating room cooling method refers to a cooling process with energy consumption control as the key indicator used to maintain a constant temperature in the operating area in a medical environment. This cooling 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 cooling 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 actual applications, there is still a lag in responding to micro-changes in the environment. Especially in rapidly changing medical environments, this lag may lead to inaccurate environmental control, affecting the cooling 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 existing technologies 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 cooling method.

[0006] To achieve the above object, the present invention adopts the following technical solution: An ultra-low power consumption refrigeration method for an operating room, comprising the following steps:

[0007] 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 operation state of the fresh air alternative air flow;

[0008] S2: Based on the operation state of the fresh air alternative air flow, read the oxygen concentration at the end and the cavity 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;

[0009] 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 residual cooling capacity and the lag of the operation cycle, screen for delayed response and adjust the passage to obtain the energy-saving suppression mode for the refrigeration condition;

[0010] S4: Based on the energy-saving suppression mode for the refrigeration condition, extract the double-pass hot air flow data and the passage temperature difference, analyze the heat flux direction, press the heat to the heat exchange surface heat transfer channel to obtain the reheating and reaction composite heat energy channel;

[0011] 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 operation state.

[0012] As a further solution of the present invention, the operation 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 operation 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 double-channel temperature difference superposition area; the low-power refrigeration closed-loop operation state 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.

[0013] As a further solution of the present invention, the specific steps of S1 are:

[0014] S101: Obtain the monitored value of the carbon dioxide concentration 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;

[0015] S102: Based on the concentration offset trend value, enable the carbon dioxide adsorption device, record the current damper opening angle and the change in wind speed, identify the damper response state in the adsorption state, and obtain the adsorption response stability;

[0016] S103: Based on the adsorption response stability, detect the fresh air operation state after 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 air flow operation state.

[0017] As a further solution of the present invention, the specific steps of S2 are as follows:

[0018] S201: Based on the fresh air alternative air flow 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 state at both ends of the heat exchanger, and analyze the change trend of the thermal response in the temperature control section to obtain the stable thermal response section;

[0019] S202: Based on the stable thermal response 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 stability proportion value;

[0020] S203: Based on the release rhythm stability 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.

[0021] As a further solution of the present invention, the calculation formula for the proportion value of the stable opening times to the total opening and closing times is specifically:

[0022] ;

[0023] Among them, represents the proportion value of the stable opening times to the total opening and closing times, represents the number of opening and closing actions detected in the th thermal response, represents the average value of the number of opening and closing actions during the entire thermal response, represents the 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 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 opening times in all records, Represents the total number of detections counted during the thermal response.

[0024] As a further aspect of the present invention, the specific steps of S3 are as follows:

[0025] S301: Based on the oxygen maintenance replenishment state, synchronously read the compressor operating 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 period of the condensation section, screen for flow lag phenomena, and obtain the flow velocity lag distribution characteristics of the condensation section;

[0026] S302: Based on the flow velocity lag distribution characteristics of the condensation section, extract the compressor operating 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;

[0027] S303: Based on the compressor response timing difference quantity, analyze the delay state of the current operating rhythm, adjust the output of the compression refrigeration path, correct the path control rhythm and set the path switching interval, and obtain the energy-saving suppression mode for the refrigeration working condition.

[0028] As a further aspect of the present invention, the specific formula for the average response time interval value between the nodes is as follows:

[0029] ;

[0030] 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.

[0031] As a further aspect of the present invention, the specific steps of S4 are as follows:

[0032] S401: Based on the refrigeration operating condition energy-saving suppression mode, extract the flow velocity and temperature data of two hot airflows in the heat exchange module, identify the consistency of the flow direction, extract the continuous sections with the same temperature gradient, and generate the hot airflow same-direction section value;

[0033] 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;

[0034] S403: Based on the heat conduction continuity ratio value, perform crimping and guide the heat energy into the heat exchange channel, and combine the heat introduction and the response range of the heat exchange surface to obtain the reheating and reaction composite heat energy channel.

[0035] As a further solution of the present invention, the specific calculation formula of the ratio of the fluctuation frequency to the section length is as follows:

[0036] ;

[0037] Among them, Z c represents the ratio of the fluctuation frequency to the section length, represents the local maximum temperature difference value in the continuous change section, represents the local minimum temperature difference value in the continuous change section, represents the length of the continuous change section, represents the average temperature difference value of this section, represents the instantaneous temperature difference peak value in the discontinuous section, represents the length of the discontinuous section, represents the area of the heat exchange surface area corresponding to this section, represents the starting temperature difference of the discontinuous section, represents the temperature difference value of the reference point in the heat exchange surface area.

[0038] As a further solution of the present invention, the specific steps of S5 are as follows:

[0039] 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;

[0040] 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;

[0041] S503: Based on the consistency state of the change trend, maintain the operating state to enter the stable control structure, make the air flow linkage relationship correspond to the main control target range, and synchronously check the stability of the air duct state to obtain the low-power refrigeration closed-loop operating state.

[0042] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0043] In the present invention, by monitoring the slope of the carbon dioxide concentration 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 terminal air temperature, humidity and gas concentration 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the step flow of the present invention; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the 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.

[0046] 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 thus should not be construed as limiting the present invention. In addition, in the description of the present invention, the meaning of "a plurality" is two or more, unless otherwise specifically defined.

[0047] Please refer to Figure 1 , an ultra-low power refrigeration method for operating rooms, comprising the following steps:

[0048] S1: Continuously identify the monitored value of the carbon dioxide concentration in the main return air section of the operating room and 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 damper opening state, detect the operation state of the fresh air module after the adsorption is completed, and freeze the damper angle to obtain the fresh air alternative air flow operating state;

[0049] S2: Based on the operating state of the fresh air replacement air flow, combined with detecting the oxygen concentration at the end of the supply air, read the start state and temperature control time curve of the reaction chamber, analyze the heating sustainability 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;

[0050] 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 cold quantity residual section. Match the change period of the operating frequency with the lag change of the fluid velocity, screen the response time sequence of the delayed output, and adjust the operating passage of the compressor to obtain the energy-saving suppression mode for the refrigeration condition;

[0051] S4: Based on the energy-saving suppression mode for the refrigeration condition, extract the flow velocity and temperature distribution of the two hot air flows in the passage of the heat exchange module, read the temperature difference between the heat exchange surface passage and the reheating passage wall surface, compare the directionality of the heat fluxes of the two, identify the convective structure characteristics, and synchronously press the heat to the heat exchange surface passage to obtain the reheating and reaction composite heat energy passage;

[0052] S5: Based on the reheating and reaction composite heat energy passage, extract the detected values of the air temperature and humidity at the end of the supply air 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 and fluctuation consistency of the synchronous stable state between data to obtain the low-power refrigeration closed-loop operating state.

[0053] The operating state of the fresh air replacement air flow includes the fixed angle of the air damper, 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 thermal 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 velocity distribution of the condensation section, and the on-off response time sequence. The reheating and reaction composite heat energy passage 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 operating state includes the supply air heat content trend, the continuous section of the humidity change, and the synchronous fluctuation range of the gas concentration.

[0054] The specific steps of S1 are as follows:

[0055] S101: Obtain the monitoring value of the carbon dioxide concentration 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 the concentration deviation trend value;

[0056] 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 every 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 direction of its concentration change, and judge 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 condition of continuous rise. 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 concentration increase of 45 ppm per minute, 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 judges whether it is in a rapid offset state. This judgment is not calculated by the average growth amount, but directly based on whether there is an excess of the set difference within the minimum sampling point span. For example, if the increase exceeds 150 ppm for 3 consecutive minutes, it is classified into the intervention prerequisite state area. Subsequently, in this trend section, extract the polarity, duration, and starting interval slope symbol of its 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 characteristics formed within this range are called single-cycle strong upward trends. If this characteristic 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.

[0057] 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;

[0058] 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 angle encoder of the damper control motor, usually ranging from 0 to 90 degrees. For example, the current reading 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 adsorption device starts and drops to 2.1 m / s after 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 remains stable during adsorption, and combine the wind speed change direction to judge whether it shows a convergent trend. If the damper angle remains within ±2° in two consecutive sampling periods and the wind speed change direction 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 adsorption device starts, the change of the damper angle should generally be controlled within 3°. Exceeding this may indicate unstable 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 changing 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.

[0059] 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;

[0060] 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°, the consistency requirement is met. 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 to 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, indicating 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 operation state of the fresh air replacement air flow.

[0061] The specific steps of S2 are as follows:

[0062] S201: Based on the operation state of the fresh air replacement air flow, obtain the oxygen concentration value at the air supply end, read the temperature control curve of the reaction chamber, extract the thermal response states at both ends of the heat exchanger, analyze the change trend of the thermal response within the temperature control section, and obtain the stable section of the thermal response;

[0063] First, it is necessary to start the oxygen concentration sensing device installed at the air supply end. The location 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 last 10 minutes to identify whether the temperature control change is in the linearly rising or maintaining stage. By the relationship between the temperature points and the time series, judge whether the current adjustment is stable. Subsequently, read the thermal response states at both ends of the heat exchanger, obtain the temperature sensor voltage conversion values at the left and right ends respectively, 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 thermal response change trend. During this process, instead of using the average temperature for judgment, it is judged 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 is consistent and the change converges, and it is judged that the current is in a stable temperature control state. In the operating room environment, this heat response equilibrium state usually appears within 3 to 5 minutes after the heating is started. If a consistent heat response 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 stable heat response section.

[0064] S202: Based on the stable heat response 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 number of stable openings to the total number of opening and closing actions, and obtain the stable release rhythm proportion value;

[0065] The specific calculation formula for the proportion value of the number of stable openings to the total number of opening and closing actions is:

[0066] ;

[0067] Wherein, represents the proportion value of the number of stable openings to the total number of opening and closing actions, 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 The time difference between two adjacent opening and closing actions in the secondary heat response, represents the response amplitude weight corresponding to the th opening and closing action, represents the total number of opening and closing actions detected in the th record, represents the number of times recognized as stable opening in the th detection, represents the average value of the number of stable openings in all records, represents the total number of detections counted during the heat response.

[0068] It is set within the actual range and calculated through historical data extraction, response curve analysis, and amplitude normalization processing. The data is as follows:

[0069] Number of opening and closing actions 20, 15, 22, 18, 19, average value ;

[0070] Time difference between adjacent opening and closing actions (unit: seconds), collected from the trigger timestamps of the sensor nodes;

[0071] Response amplitude weight , mapped to the range of 0.8 - 1.3 after standardizing the sensor amplitude data, and the weight changes linearly with the response amplitude;

[0072] Number of stable openings , average value ;

[0073] The simplified operation process is as follows:

[0074] Calculation of the numerator part:

[0075] ;

[0076] Calculation of the denominator part:

[0077] ;

[0078] Substitute into the formula to calculate the ratio:

[0079] ;

[0080] This result indicates that the action trigger ratio during the heat response is approximately 19.7%, meaning that the stable opening state accounts for 19.7% of the total opening and closing actions in the current collection cycle. This value is used as the stable release rhythm ratio value to participate in the output of the final index.

[0081] S203: Based on the stable proportion value of the release rhythm, 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 to obtain the oxygen maintenance supply state;

[0082] First, identify whether the current proportion value is within the set oxygen supply continuity standard interval, which is usually expressed as the percentage of the number of stable openings in the total number of channel operations. 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 proportion of 75%. Since this value has reached the set oxygen supply stability threshold of 60%, the channel adjustment process is entered after the condition is met.

[0083] 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 its 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 lasted 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 is completed, record the output interval, the change in 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 in five consecutive samples is within this interval, it can be determined that the current release behavior is stable and meets the oxygen supply standard.

[0084] Finally, lock the opening and closing logic configuration of this channel as "single-cycle stable segment", and output the current oxygen supply stability state of this channel to obtain the oxygen maintenance supply state.

[0085] The specific steps of S3 are as follows:

[0086] S301: Based on the oxygen maintenance supply state, synchronously read the compressor operation status 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 for flow lag phenomena, and obtain the flow rate lag distribution characteristics of the condensation section;

[0087] First, it is necessary to synchronously read the operation status data of the compressor and the on-off frequency of the condensation section. This operation is carried out by the control host simultaneously calling the operation log of the compressor and the action feedback signal of the condenser solenoid valve. The operation status data includes indicators such as compression ratio, power load, output temperature, etc., 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 frequency sequence of "long on and short off". 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, while the outlet flow velocity rises to 0.58 m / s only 3 seconds after the valve opens, such a response difference before and after is identified as the response delay stage. For the convenience of 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, the paragraphs with periodic lag characteristics can be screened out. Especially during "long on and short off" or when the load rate increases, if the lag phenomenon recurs, it indicates that there is a coupling problem of slow response and uneven condensation conduction in the current operation state. For such characteristics, coding and sorting can be carried out 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.

[0088] S302: Based on the flow velocity lag distribution characteristics of the condensation section, extract the sequence of changes in the operation frequency of the compressor during 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 time sequence difference amount;

[0089] The specific calculation formula for the average response time interval value between the nodes is:

[0090] ;

[0091] 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 average value of the flow velocity sequence corresponding to the th 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;

[0092] Assume that various values are:

[0093] seconds, seconds, m / s, Hz, ;

[0094] Taking the data of the first pair of nodes as an example, substitute it into the formula for calculation:

[0095] ;

[0096] The calculation steps are refined as follows:

[0097] seconds;

[0098] ;

[0099] ;

[0100] ;

[0101] 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 cycle. 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.

[0102] S303: Based on the difference in 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 an energy-saving suppression mode for the refrigeration condition;

[0103] First, analyze the possible delay status in the current operating rhythm. It is necessary to extract the time points of each start and stop from the real-time operating log of the compressor, and conduct a time-axis comparison in combination with the change moments of the flow rate response in the condensation section to determine whether there are repeatedly occurring 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 group of control signals and the moment 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 sequences 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 buffering of the condenser, 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 reach the control stable conditions, the current operating mode state is recognized as being in the energy-saving suppression mode under the refrigeration condition.

[0104] The specific steps of S4 are as follows:

[0105] 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;

[0106] 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 points 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 determined that the directions are consistent; if the air flow in one of the channels shows reverse flow (such as flowing from the return air outlet to the heat source end), it is regarded as 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 increases or 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 in channel 2 are 34.0°C, 34.5°C, and 35.0°C, it is determined 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 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.

[0107] 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 ratio value;

[0108] The specific calculation formula for the ratio of the fluctuation frequency to the segment length is:

[0109] ;

[0110] 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, Indicates the length of this discontinuous segment, Indicates the area of the heat exchange surface region corresponding to this segment, Indicates the starting temperature difference of the discontinuous segment, Indicates the temperature difference value of the reference point in the heat exchange surface region;

[0111] Parameter definition:

[0112] = 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;

[0113] Calculation steps and formula derivation:

[0114] Substitute the above values into the numerator part:

[0115] ;

[0116] Calculate the denominator part:

[0117] ;

[0118] Substitute into the complete formula:

[0119] ;

[0120] The result shows that the heat conduction continuity ratio value is 2.53, indicating that within the monitored segment between the heat exchange surface and the reheating channel wall surface, the temperature difference change is dominated by the continuous section, and the heat transfer process shows higher stability. This value can be used for subsequent system heat stability evaluation and structural performance correlation analysis.

[0121] 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 introduction and the heat exchange surface response range to obtain the reheating and reaction composite heat energy channel.

[0122] 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 more than 45 seconds show a co-directional conduction trend, then 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 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 in 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.

[0123] The specific steps of S5 are as follows:

[0124] 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 master 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;

[0125] 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 are respectively 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. 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, the logical judgment process is used to check whether multiple consecutive sampling points are all within the target range in sequence. If within 6 consecutive sampling periods, all three items of 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 intermittent 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.

[0126] 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 co-directional change trend of the data, and identify the stability of the change state to obtain the change trend consistency state;

[0127] 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 temperature increase trend. The same judgment logic applies to humidity and gas concentration parameters. If the three parameters all show the same direction of 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 equilibrium 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 differences are 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, 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 of the air flow temperature, humidity, and concentration three indicators with continuity, same-directionality, and synchrony in the time series, and record the corresponding time period, participating parameters, and trend direction to obtain the state of change trend consistency.

[0128] S503: Based on the state of change trend consistency, maintain the operating state and enter the stable control structure, make the air flow linkage relationship correspond to the main control target range, and simultaneously check the stability of the air duct state to obtain a low-power refrigeration closed-loop operating state;

[0129] First, confirm that the current three air supply data, namely air temperature, air humidity, and gas concentration, have not experienced 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 decreasing 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 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 opening angle of the air damper, 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 opening angle of the air damper 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.

[0130] The above is only a preferred embodiment of the present invention, and it does 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 refrigeration method for operating rooms, characterized in that, It includes 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 difference between the slope of 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 analysis 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 residual cooling capacity and the lag of the operating cycle, screen for delayed responses and adjust the path to obtain the 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 double-pass hot air flow and the temperature difference of the path, analyze the direction of the heat flux, press the heat to the heat exchange 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, 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.

2. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that, 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 exchanger, the stable section of the hot air flow direction, and the overlapping area of the double-channel temperature difference. The low-power refrigeration closed-loop operating state includes the trend of the heat content of the supplied air, the continuous section of the humidity change, and the synchronous fluctuation range of the gas concentration.

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 monitoring value of the carbon dioxide concentration 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 the 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, identify the damper response state in the adsorption state, and obtain the adsorption response stability; S103: Based on the adsorption response stability, detect the fresh air action state after the adsorption ends, analyze the consistency between the damper command and the actual execution, freeze the damper angle and lock the wind speed, and obtain the operating state of the fresh air alternative air flow.

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 operating state of the fresh air alternative air flow, obtain the oxygen concentration value at the end of the air supply and read the reaction chamber temperature control curve, extract the heat response states at both ends of the heat exchanger, and analyze the heat response change trend in the temperature control section to obtain the heat response stable section; S202: Based on the heat response stable section, obtain the state change record of the oxygen release channel in the section, identify the triggering times of the opening and closing actions during the heat response, calculate the proportion of the stable opening times in the total opening and closing times, and obtain the release rhythm stability proportion value; S203: Based on the stable release rhythm ratio value, analyze the release state according to the oxygen supply condition, adjust the opening and closing amplitude of the channel and lock the current release interval to obtain the oxygen maintenance replenishment state.

5. The ultra-low power consumption operating room refrigeration method according to claim 4, characterized in that, The specific calculation formula for the ratio value of the stable opening times to the total opening and closing times is as follows: ； 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, wherein 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 flow velocity change trajectory within the continuous operation period of the condensation section, screen the flow lag phenomenon, 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 node and the flow velocity 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 amount; S303: Based on the compressor response timing difference amount, analyze the delay state of the current operation rhythm, adjust the output of the compression refrigeration path, correct the path control rhythm and set the path switching interval to obtain the energy-saving suppression mode of the refrigeration working condition.

7. An ultra-low power consumption operating room refrigeration method according to claim 6, characterized in that, The specific calculation formula for the average response time interval value between the nodes is as follows: ； Among them, represents the average response time interval value between 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.

8. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that The specific steps of S4 are as follows: S401: Based on the energy-saving suppression mode of 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 section 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 wall temperature difference sequence of the heat exchange channel and the reheating channel, 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, and combine the heat introduction and the heat exchange surface response range to obtain the reheating and reaction composite heat energy channel.

9. An ultra-low power consumption operating room refrigeration method according to claim 8, characterized in that, The specific calculation formula for the ratio of the fluctuation frequency to the section length is as follows: ； Among them, Z c represents the ratio of the fluctuation frequency to the segment length, represents the local maximum temperature difference value in the continuously varying segment, represents the local minimum temperature difference value in the continuously varying segment, represents the length of the continuously varying segment, represents the average temperature difference value of the continuously varying segment, represents the instantaneous temperature difference peak value in the discontinuous segment, represents the length of the discontinuous segment, represents the area of the heat exchange surface region corresponding to the discontinuous segment, represents the starting temperature difference of the discontinuous segment, represents the temperature difference value of the reference point in the heat exchange surface region.

10. The ultra-low power consumption operating room refrigeration method according to claim 1, characterized in that, The specific steps of S5 are as follows: 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 set 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 temperature, humidity and concentration within the corresponding 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; S503: Based on the change trend consistency state, maintain the operation 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 operation state.

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