Microbial culture medium refrigeration generation method and system with automatic disinfection function

Abstract

The invention relates to the technical field of intelligent disinfection, and discloses an automatic disinfection microbial culture medium refrigeration generation method and system.The method comprises the steps that data normalization is conducted on multi-source environment data of a refrigeration mechanism, and an environment parameter sequence of the refrigeration mechanism is obtained; according to the environmental parameters in the environmental parameter sequence, performing weighted fusion on the contribution value of the microbial pollution risk in the microbial culture medium to obtain the current pollution risk value of the refrigeration mechanism in the current environment; dynamically adjusting a disinfection trigger threshold value of the refrigeration mechanism according to the accumulated operation time and the historical disinfection frequency of the refrigeration mechanism; when the current pollution risk value continuously exceeds a disinfection trigger threshold value, performing targeted disinfection treatment on the microbial culture medium; after disinfection treatment, recovering and maintaining the preset refrigeration temperature of the microbial culture medium, and returning to the step S3 to carry out closed-loop monitoring on the refrigeration mechanism; the refrigeration and disinfection effects of the microbial culture medium can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent disinfection, in particular to a method and system for automatically disinfecting microbial culture medium in cold storage. BACKGROUND

[0002] The quality of cold storage of microbial culture medium directly determines the accuracy and effectiveness of its subsequent experimental application. However, the existing cold storage technology has significant shortcomings in pollution prevention and control and disinfection adaptability. Most current methods for cold storage of microbial culture medium rely on preset fixed disinfection cycles for operation, without dynamically adjusting the disinfection strategy in combination with real-time environmental parameters (such as temperature fluctuations, humidity changes, gas concentration abnormalities, etc.) in the cold storage mechanism. This leads to the risk of microbial contamination due to untimely disinfection when the environmental parameters deviate from the optimal range, or damage to the activity of the culture medium due to excessive disinfection when the environment is stable, making it difficult to balance the relationship between pollution prevention and control and the quality of culture medium preservation. At the same time, the existing technology lacks systematic processing of multi-source environmental data and fails to establish a scientific pollution risk assessment model. It only uses a single parameter to judge the possibility of contamination, which cannot fully reflect the comprehensive impact of the cold storage environment on the culture medium, further reducing the accuracy of disinfection operations.

[0003] In addition, the disinfection triggering mechanism and closed-loop control capability of the existing cold storage system have defects. The disinfection triggering threshold is mostly a fixed set value, without considering key factors such as the decline in environmental stability within the device due to the cumulative running time of the cold storage mechanism and the influence of historical disinfection frequency on current pollution risk, leading to a mismatch between the threshold and the actual pollution risk, and resulting in missed disinfection or false disinfection after long-term operation of the device. After disinfection, the existing technology lacks precise control over the recovery process of the cold storage temperature, often damaging the characteristics of the culture medium due to the excessive speed of temperature rise or excessive fluctuations. At the same time, it lacks a mechanism for continuous environmental monitoring and risk reevaluation after disinfection, which cannot timely detect environmental abnormalities that occur again after disinfection, forming a control loophole, ultimately leading to a high contamination rate of microbial culture medium during cold storage, seriously affecting its subsequent use effect and experimental data reliability. SUMMARY

[0004] The present application provides a method and system for automatically disinfecting microbial culture medium in cold storage to solve the problems raised in the background art.

[0005] To achieve the above-mentioned purpose, the present application provides a method for automatically disinfecting microbial culture medium in cold storage, comprising: S1, loading the microbial culture medium into the cold storage mechanism, and starting the refrigeration function of the cold storage mechanism to maintain the preset cold storage temperature of the microbial culture medium; S2, data normalization of multi-source environmental data of the cold storage mechanism to obtain an environmental parameter sequence of the cold storage mechanism; S3, according to the environmental parameters in the sequence of environmental parameters, the contribution value of the risk of microbial contamination in the microbial culture medium is weighted and fused to obtain the current contamination risk value of the refrigeration mechanism under the current environment; S4, according to the cumulative running time and historical disinfection frequency of the refrigeration mechanism, the disinfection trigger threshold of the refrigeration mechanism is dynamically adjusted; S5, when the current contamination risk value continuously exceeds the disinfection trigger threshold, the microbial culture medium is subjected to targeted disinfection treatment; S6, after disinfection treatment, the preset refrigeration temperature of the microbial culture medium is restored and maintained, and the refrigeration mechanism is returned to step S3 for closed-loop monitoring.

[0006] In a preferred embodiment, the microbial culture medium is loaded into the refrigeration mechanism, and the refrigeration function of the refrigeration mechanism is started to maintain the preset refrigeration temperature of the microbial culture medium, which comprises: Before loading the microbial culture medium, the cleanliness of the inner cavity of the refrigeration mechanism is confirmed to ensure that the inner cavity environment meets the initial cleanliness requirement for microbial preservation; The packaged microbial culture medium is orderly placed on the carrier of the refrigeration mechanism at a preset interval to ensure the air flow between the culture media; After closing the sealing door of the refrigeration mechanism, the refrigeration function is started to make the internal temperature of the refrigeration mechanism smoothly decrease to the preset refrigeration temperature; When the internal temperature of the refrigeration mechanism is stabilized in the preset refrigeration temperature range, it is confirmed that the microbial culture medium has been in a stable initial refrigeration state.

[0007] In a preferred embodiment, the multi-source environmental data of the refrigeration mechanism is subjected to data normalization to obtain the sequence of environmental parameters of the refrigeration mechanism, which comprises: The temperature sampling value, humidity sampling value and gas concentration sampling value read by the sensor in the refrigeration mechanism are collected as the original environmental data set of the refrigeration mechanism; The abnormal data points in the original environmental data set due to instantaneous interference of the sensor are removed to obtain the clean environmental data set of the refrigeration mechanism; The clean environmental data set is sequentially integrated and arranged according to the time stamp to obtain the sequence of environmental parameters of the refrigeration mechanism.

[0008] In a preferred embodiment, the contribution value of the risk of microbial contamination comprises: Based on the growth rate experiment of common contaminating microorganisms under different temperature, humidity and gas concentration conditions, the preset contribution weight corresponding to the environmental parameters in the sequence of environmental parameters is determined in advance; The environmental parameter is multiplied by the preset contribution weight to obtain a contribution value of the environmental parameter to the microbial contamination risk in the microbial culture medium.

[0009] In a preferred embodiment, the calculation formula of the current contamination risk value is as follows: ; In the formula, the current contamination risk value at the moment, the preset contribution weight corresponding to the temperature parameter, the normalized deviation absolute value of the current temperature parameter from the preset optimal culture temperature, the preset contribution weight corresponding to the humidity parameter, the normalized deviation absolute value of the current humidity parameter from the preset optimal humidity, the preset contribution weight corresponding to the gas concentration parameter, the normalized deviation absolute value of the current gas concentration parameter from the reference concentration of the clean environment, a historical influence decay factor, the historical contamination risk value at the moment, the contribution value of the temperature parameter, the contribution value of the humidity parameter, the contribution value of the gas concentration parameter.

[0010] In a preferred embodiment, the dynamic adjustment of the disinfection trigger threshold of the refrigeration mechanism according to the cumulative running time of the refrigeration mechanism and the historical disinfection frequency comprises: obtaining the cumulative running time of the refrigeration mechanism since the start of the current continuous operation, and obtaining the pre-stored recent historical disinfection frequency record; determining the basic adjustment coefficient of the refrigeration mechanism based on the cumulative running time; determining the frequency correction factor of the refrigeration mechanism based on the recent historical disinfection frequency; calculating the dynamic adjustment amount of the refrigeration mechanism according to the synergistic effect of the basic adjustment coefficient and the frequency correction factor; synthesizing the preset initial disinfection trigger threshold and the dynamic adjustment amount to obtain the disinfection trigger threshold of the refrigeration mechanism.

[0011] In a preferred embodiment, the calculation formula of the dynamic adjustment amount is as follows: ; In the formula, the dynamic adjustment amount, the maximum adjustment amplitude reference value of the basic adjustment coefficient,​​ is a preset time-sensitive coefficient, is the cumulative running time, is the frequency correction factor, is the recent history disinfection frequency.

[0012] In a preferred embodiment, when the current contamination risk value continuously exceeds the disinfection trigger threshold, a targeted disinfection process is performed on the microbial culture medium, including: based on the relative relationship between the current contamination risk value and the disinfection trigger threshold, a risk overrun judgment window of the refrigeration mechanism is established; when the current contamination risk value is first detected to exceed the disinfection trigger threshold, an overrun duration timer starts timing; during the timing of the overrun duration timer, if the current contamination risk value is always not lower than the disinfection trigger threshold, the cumulative overrun time is continuously accumulated; when the cumulative overrun time reaches a preset continuous judgment duration, it is determined that the continuous overrun condition is met, and a targeted disinfection trigger signal of the refrigeration mechanism is generated; according to the targeted disinfection trigger signal and the dominant environmental parameter type causing the current contamination risk value to overrun, a corresponding disinfection intensity and action duration combination is selected, and the refrigeration mechanism is subjected to targeted disinfection based on the disinfection intensity and action duration combination.

[0013] In a preferred embodiment, after the disinfection process, the preset refrigeration temperature of the microbial culture medium is restored and maintained, and the refrigeration mechanism is subjected to closed-loop monitoring in step S3, including: after the targeted disinfection is completed, the disinfection work is stopped, and the residual gaseous substances in the refrigeration mechanism after disinfection are discharged; after the concentration of residual substances decreases to a safe level, the internal temperature of the refrigeration mechanism is restored to the preset refrigeration temperature; when the environmental parameters are stable, step S3 will be returned to execute, and the weighted fusion of the contribution value of the microbial contamination risk in the microbial culture medium is restarted based on the environmental parameter sequence of the refrigeration mechanism under the current situation, to obtain the contamination risk value of the refrigeration mechanism under the current situation.

[0014] To solve the above problems, the present application also provides a microbial culture medium refrigeration generation system with automatic disinfection, which comprises: a refrigeration module for loading the microbial culture medium into a refrigeration mechanism and starting the refrigeration function of the refrigeration mechanism to maintain the microbial culture medium at a preset refrigeration temperature; The data processing module is configured to perform data normalization on the multi-source environmental data of the refrigeration mechanism to obtain an environmental parameter sequence of the refrigeration mechanism. The risk calculation module is configured to perform weighted fusion on the contribution values of the microbial contamination risk in the microbial culture medium according to the environmental parameters in the environmental parameter sequence to obtain a current contamination risk value of the refrigeration mechanism under the current environment. The disinfection trigger threshold determination module is configured to dynamically adjust the disinfection trigger threshold of the refrigeration mechanism according to the cumulative running time and the historical disinfection frequency of the refrigeration mechanism. The targeted disinfection module is configured to perform targeted disinfection treatment on the microbial culture medium when the current contamination risk value continuously exceeds the disinfection trigger threshold. The closed-loop monitoring module is configured to restore and maintain the preset refrigeration temperature of the microbial culture medium after the disinfection treatment and return the risk calculation module to monitor the refrigeration mechanism in a closed loop.

[0015] Compared with the prior art, the present application has the following beneficial effects: 1. The present application significantly improves the precision and effectiveness of microbial culture medium refrigeration and disinfection through multi-dimensional technical design. The multi-source environmental data of the refrigeration mechanism is normalized and formed into an environmental parameter sequence, the contribution values of the microbial contamination risk are calculated by weighted fusion combining the preset contribution weight and the historical influence decay factor, the contamination risk value under the current environment is accurately obtained, and the evaluation of the contamination risk is more in line with the actual environmental state. At the same time, the disinfection trigger threshold is dynamically adjusted according to the cumulative running time and the historical disinfection frequency of the refrigeration mechanism, so that the threshold setting is highly adapted to the actual operating conditions, and the disinfection intensity and action time are selected for targeted disinfection according to the dominant environmental parameter type for the continuous over-limit situation, effectively improving the pertinence and effectiveness of disinfection operation, ensuring the disinfection effect while avoiding unnecessary damage to the microbial culture medium.

[0016] 2. The present application further improves the overall quality of the microbial culture medium refrigeration preservation through a perfect closed-loop control mechanism and precise environmental maintenance capability. After disinfection treatment, the system first discharges the gaseous disinfection residues in the refrigeration mechanism, and then accurately restores and maintains the internal temperature to the preset refrigeration temperature after the residual concentration is reduced to a safe level, ensuring that the culture medium after disinfection can still be in a stable and suitable refrigeration environment. After the recovery and stabilization, the risk monitoring link is returned immediately, and the contamination risk is evaluated again based on the real-time environmental parameter sequence, forming a continuous closed-loop monitoring and control, so that the microbial culture medium is in a stable environment with low contamination risk throughout the refrigeration period, effectively ensuring the activity and quality of the culture medium and providing reliable protection for subsequent application. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1A flowchart of an automatic sterilization microbial culture medium cold storage generation method provided by an embodiment of the present application is shown in FIG. Figure 2 A functional module diagram of an automatic sterilization microbial culture medium cold storage generation system provided by an embodiment of the present application is shown in FIG. The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0018] It should be understood that the specific embodiments described herein are merely intended to explain the present application and not to limit the present application.

[0019] An automatic sterilization microbial culture medium cold storage generation method is provided by the embodiments of the present application. The execution subject of the automatic sterilization microbial culture medium cold storage generation method includes, but is not limited to, at least one of electronic devices such as a server and a terminal, which can be configured to execute the method provided by the embodiments of the present application. In other words, the automatic sterilization microbial culture medium cold storage generation method can be executed by software or hardware installed in a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be a stand-alone server, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content distribution networks (CDN), and big data and artificial intelligence platforms, etc. basic cloud computing services.

[0020] Referring to Figure 1 A flowchart of an automatic sterilization microbial culture medium cold storage generation method provided by an embodiment of the present application is shown in FIG. In this embodiment, the automatic sterilization microbial culture medium cold storage generation method includes: S1, loading the microbial culture medium into the cold storage mechanism, and starting the refrigeration function of the cold storage mechanism to maintain the microbial culture medium at a preset cold storage temperature; In the embodiment of the present application, the microbial culture medium is loaded into the cold storage mechanism, and the refrigeration function of the cold storage mechanism is started to maintain the microbial culture medium at a preset cold storage temperature, which includes: Before loading the microbial culture medium, the inner cavity of the cold storage mechanism is cleaned to ensure that the inner cavity environment meets the initial cleanliness requirements of microbial preservation; The packaged microbial culture medium is placed on the carrier of the cold storage mechanism in a preset interval to ensure the air flow between the culture media; After the sealing door of the refrigeration mechanism is closed, the refrigeration function is started to make the internal temperature of the refrigeration mechanism steadily decrease to a preset refrigeration temperature; When the internal temperature of the refrigeration mechanism is stabilized in the preset refrigeration temperature range, it is confirmed that the microorganism culture medium is in a stable initial refrigeration state.

[0021] Specifically, the fuel supply rate set value recorded in the generated optimization control instruction is read first, a preset correspondence table of the fuel supply rate set value and the fuel regulating valve control signal is set, a completely matched entry is found in the correspondence table according to the read fuel supply rate set value, the electric signal value corresponding to the entry is determined, and the control signal of the fuel regulating valve in the boiler is obtained according to the signal format recognizable by the fuel regulating valve and the electric signal value.

[0022] Further, the air flow ratio set value recorded in the optimization control instruction is extracted, a preset conversion rule of the air flow ratio set value and the damper actuator control signal is set, the extracted air flow ratio set value is substituted into the conversion rule to obtain the corresponding action signal value, and the action signal value is encapsulated according to the signal type receivable by the damper actuator, so that the control signal of the damper actuator in the boiler is obtained.

[0023] Further, a preset synchronization triggering mechanism of signal transmission is set, the control signal of the fuel regulating valve is connected to the first output end of the signal transmission unit, the control signal of the damper actuator is connected to the second output end of the signal transmission unit, the first output end of the signal transmission unit is connected to the signal receiving port of the fuel regulating valve, the second output end of the signal transmission unit is connected to the signal receiving port of the damper actuator, and when the synchronization triggering mechanism reaches a preset time node, the signal transmission unit simultaneously transmits the corresponding control signals to the two output ends, so that the control signal of the fuel regulating valve and the control signal of the damper actuator are transmitted to the corresponding execution mechanisms at the same time.

[0024] In general, stable and reliable initial conditions are provided for microbial culture medium refrigeration, and the quality of the culture medium is guaranteed from the source and the subsequent refrigeration effect. The cleanliness of the inner cavity of the refrigeration mechanism is confirmed before loading to ensure that the initial environment meets the cleanliness requirements of microbial preservation, directly avoiding the risk of initial contamination and creating a clean preservation starting point for the culture medium. The culture medium is placed in order at a predetermined interval to ensure air circulation between the culture media, allowing uniform temperature transfer during refrigeration and avoiding local temperature unevenness affecting the characteristics of the culture medium. The internal temperature is allowed to drop smoothly to the preset refrigeration temperature after starting the refrigeration function to prevent sudden temperature changes that can damage the composition and activity of the culture medium and maintain its inherent experimental application value. The initial refrigeration state is confirmed after the temperature stabilizes in the preset range, which provides a stable benchmark for subsequent environmental parameter monitoring, pollution risk assessment, and disinfection treatment, avoiding deviations in subsequent management due to initial temperature fluctuations and laying the foundation for the quality stability of the culture medium during the entire refrigeration period.

[0025] S2, data normalization is performed on the multi-source environmental data of the refrigeration mechanism to obtain an environmental parameter sequence of the refrigeration mechanism; In the embodiment of the present application, the data normalization of the multi-source environmental data of the refrigeration mechanism to obtain the environmental parameter sequence of the refrigeration mechanism includes: The temperature sampling value, humidity sampling value and gas concentration sampling value read by the sensors in the refrigeration mechanism are collected as the original environmental data set of the refrigeration mechanism; The abnormal data points in the original environmental data set due to instantaneous interference of the sensors are removed to obtain a clean environmental data set of the refrigeration mechanism; The clean environmental data set is sequentially integrated and arranged according to the time stamp to obtain the environmental parameter sequence of the refrigeration mechanism.

[0026] Specifically, temperature sensors, humidity sensors and gas concentration sensors are installed in different key areas inside the refrigeration mechanism, and each sensor is connected to the data acquisition module through a wire. The data acquisition module is started to allow all sensors to continuously read the temperature value, humidity value and gas concentration value at the corresponding position at the same time interval. Each set of values is added a unique time stamp (accurate to seconds) when read, and all temperature sampling values, humidity sampling values and gas concentration sampling values with time stamps are transmitted to the data storage unit for centralized storage. All data collected in the storage unit is the original environmental data set of the refrigeration mechanism.

[0027] Further, the reasonable fluctuation range of temperature, humidity and gas concentration when the refrigeration mechanism is normally operated is determined in advance, each data point is extracted from the original environmental data set row by row, each sampling value is compared with the corresponding reasonable fluctuation range, if a certain sampling value exceeds the reasonable fluctuation range, and the corresponding sampling values of the three adjacent data points before and after it are all within the reasonable range, it is determined that the data point is an abnormal data point, and these abnormal data points are removed from the original environmental data set manually or through a preset screening switch, and all data remaining after the removal of the abnormal data points is the clean environmental data set of the refrigeration mechanism.

[0028] Further, the time stamp carried by each data point in the clean environmental data set is extracted one by one, all time stamps are arranged in order from small to large in value, the temperature sampling value, humidity sampling value and gas concentration sampling value corresponding to each time stamp are found according to the arranged time stamp order, the three sampling values corresponding to the same time stamp are combined into a complete environmental parameter record, all complete environmental parameter records are arranged in order of time stamp from early to late, and the ordered data set formed is the environmental parameter sequence of the refrigeration mechanism.

[0029] In general, high-quality data support is provided for subsequent microbial contamination risk assessment and refrigeration environment control, and the scientificity and reliability of refrigeration mechanism environment monitoring are significantly improved. By collecting sampling values of temperature, humidity and gas concentration in the refrigeration mechanism, integrating multi-dimensional environmental data, avoiding the limitations of single parameter monitoring, ensuring that the refrigeration environment state can be fully reflected, and laying a data foundation for subsequent comprehensive risk assessment, while removing abnormal data points in the original data caused by sensor transient interference, effectively filtering invalid and distorted information, ensuring the accuracy and authenticity of the clean environmental data set, avoiding deviations in subsequent pollution risk calculation caused by abnormal data, and affecting control decisions, in addition, the clean data set is arranged in order according to the time stamp to form an environmental parameter sequence, so that the environmental data has the continuity and logicality of the time dimension, and the changing trend of the refrigeration environment parameters can be dynamically presented, which provides a clear data context for subsequent calculation of real-time pollution risk value based on time series data, capturing the influence of environmental changes on microbial culture medium, helping to accurately judge the pollution risk, and ensuring the accuracy of refrigeration environment control.

[0030] S3, according to the environmental parameters in the environmental parameter sequence, the contribution value of the microbial contamination risk in the microbial culture medium is weighted and fused, and the current pollution risk value of the refrigeration mechanism under the current environment is obtained; In the embodiment of the application, the contribution value of the microbial contamination risk includes: Based on the growth rate experiment of common contaminating microorganisms under different temperature, humidity and gas concentration conditions, the preset contribution weight corresponding to the environmental parameters in the environmental parameter sequence is determined in advance; The environmental parameter is multiplied by the preset contribution weight to obtain a contribution value of the environmental parameter to the risk of microbial contamination in the microbial culture medium.

[0031] In the embodiment of the present application, the calculation formula of the current contamination risk value is as follows: ; In the formula, the current contamination risk value at the moment, the preset contribution weight corresponding to the temperature parameter, the normalized deviation absolute value of the current temperature parameter from the preset optimal culture temperature, the preset contribution weight corresponding to the humidity parameter, the normalized deviation absolute value of the current humidity parameter from the preset optimal humidity, the preset contribution weight corresponding to the gas concentration parameter, the normalized deviation absolute value of the current gas concentration parameter from the reference concentration of the clean environment, a historical influence decay factor, the historical contamination risk value at the moment, the contribution value of the temperature parameter, the contribution value of the humidity parameter, the contribution value of the gas concentration parameter.

[0032] Specifically, common contaminating microorganisms in refrigeration mechanisms are selected first, and a plurality of parallel experimental devices are built in a laboratory environment, each device being provided with different temperature conditions and different gas concentration conditions. The same amount of microbial culture medium and the same amount of target contaminating microorganisms are placed in each experimental device, and other experimental conditions are kept consistent. The number change of microorganisms in each device is observed and recorded regularly, the growth rate of microorganisms under different environmental conditions is calculated through the number change, and the influence degree of different temperatures on the growth rate under the same humidity and gas concentration, the influence degree of different humidities on the growth rate under the same temperature and gas concentration, and the influence degree of different gas concentrations on the growth rate under the same temperature and humidity are compared and analyzed. The environmental parameter corresponding to the greater influence degree is assigned a higher fixed value. The fixed values are one-to-one corresponding to the temperature parameter, the humidity parameter and the gas concentration parameter in the environmental parameter sequence, and the fixed values of the corresponding environmental parameters are the preset contribution weights of the environmental parameters in the environmental parameter sequence.

[0033] ​​Further, the temperature parameter value, the humidity parameter value, and the gas concentration parameter value corresponding to a certain time are extracted from the environmental parameter sequence of the refrigeration mechanism, and the preset contribution weight corresponding to the temperature parameter, the preset contribution weight corresponding to the humidity parameter, and the preset contribution weight corresponding to the gas concentration parameter are found respectively. The temperature parameter value is multiplied by the preset contribution weight corresponding to the temperature to obtain the contribution value of the temperature parameter to the microbial contamination risk in the microbial culture medium. The humidity parameter value is multiplied by the preset contribution weight corresponding to the humidity to obtain the contribution value of the humidity parameter to the microbial contamination risk in the microbial culture medium. The gas concentration parameter value is multiplied by the preset contribution weight corresponding to the gas concentration to obtain the contribution value of the gas concentration parameter to the microbial contamination risk in the microbial culture medium. The result obtained by multiplying each environmental parameter and the corresponding preset contribution weight is the contribution value of the environmental parameter to the microbial contamination risk in the microbial culture medium.

[0034] Specifically, the preset contribution weight corresponding to the temperature parameter is obtained by selecting common contaminating microorganisms in the refrigeration mechanism, building multiple sets of parallel experimental devices with different temperatures, humidities, and gas concentrations in a laboratory, observing and recording the growth rates of microorganisms in each set of devices, comparing and analyzing the influence degree of temperature on the growth rate, and assigning a fixed value according to the influence degree. The fixed value is the preset contribution weight corresponding to the temperature parameter. .

[0035] Further, the current temperature parameter is obtained by extracting the temperature value corresponding to time t from the environmental parameter sequence of the refrigeration mechanism. This value is the current temperature parameter required for calculating the contribution value. .

[0036] Further, the preset optimal culture temperature is obtained by experimentally testing the temperature at which the growth rate of common contaminating microorganisms is the slowest, and determining this temperature as the temperature most unfavorable for microbial growth. This temperature is the preset optimal culture temperature.

[0037] Further, the normalized deviation absolute value of the current temperature parameter and the preset optimal culture temperature is obtained by first calculating the difference between the current temperature parameter and the preset optimal culture temperature, taking the absolute value of the difference to obtain the deviation absolute value, then determining the reasonable fluctuation range of the temperature of the refrigeration mechanism (such as 0-10℃), calculating the difference between the maximum value and the minimum value of the reasonable fluctuation range, and dividing the deviation absolute value by the difference to obtain the result. .

[0038] Further, the preset contribution weight corresponding to the humidity parameter is obtained by the same microbial growth rate experiment as described above, comparing and analyzing the influence degree of humidity on the growth rate of microorganisms, and assigning a fixed value according to the influence degree. The fixed value is the preset contribution weight corresponding to the humidity parameter. .

[0039] Further, the source of the current humidity parameter is the humidity value corresponding to time t extracted from the environmental parameter sequence of the refrigeration mechanism, and this value is the current humidity parameter required for calculation .

[0040] Further, the source of the preset optimal humidity is the humidity at which the growth rate of common contaminating microorganisms is the slowest through experimental testing, and this humidity is determined as the humidity most unfavorable for microorganism growth, which is the preset optimal humidity.

[0041] Further, the source of the normalized deviation absolute value of the current humidity parameter and the preset optimal humidity is to first calculate the difference between the current humidity parameter and the preset optimal humidity, take the absolute value of the difference to obtain the deviation absolute value, then determine the reasonable fluctuation range of the humidity of the refrigeration mechanism (such as 30%-70%), calculate the difference between the maximum value and the minimum value of the reasonable fluctuation range, and divide the deviation absolute value by the difference, and the result obtained is .

[0042] Further, the source of the preset contribution weight corresponding to the gas concentration parameter is to compare and analyze the influence degree of gas concentration on the growth rate of microorganisms through the same microorganism growth rate experiment described above, and to allocate a fixed value according to the influence degree, and this fixed value is .

[0043] Further, the source of the current gas concentration parameter is the gas concentration value corresponding to time t extracted from the environmental parameter sequence of the refrigeration mechanism, and this value is the current gas concentration parameter required for calculation .

[0044] Further, the source of the clean environment reference concentration is the gas concentration most unfavorable for microorganism growth through experimental testing, and this concentration is determined as the reference concentration under a clean environment, which is the clean environment reference concentration.

[0045] Further, the source of the normalized deviation absolute value of the current gas concentration parameter and the clean environment reference concentration is to first calculate the difference between the current gas concentration parameter and the clean environment reference concentration, take the absolute value of the difference to obtain the deviation absolute value, then determine the reasonable fluctuation range of the gas concentration of the refrigeration mechanism (such as 0.1%-1.0%), calculate the difference between the maximum value and the minimum value of the reasonable fluctuation range, and divide the deviation absolute value by the difference, and the result obtained is .

[0046] Further, the source of the historical influence decay factor is to observe the decay of the microorganism contamination risk over time through experiments, record the influence degree of the historical contamination risk on the current risk after different time intervals, and determine a fixed value according to the influence degree, and this fixed value is .

[0047] Further, The source of the historical pollution risk value at the moment t is calculated according to the calculation formula of the current pollution risk value at the moment t, the temperature, humidity, and gas concentration parameters at the moment t, and the historical pollution risk value at the moment t-1. The temperature, humidity, and gas concentration parameters at the moment t, and the historical pollution risk value at the moment t-1. The result obtained by calculating the historical pollution risk value at the moment t is the current pollution risk value at the moment t. .

[0048] Further, The calculation formula of the current pollution risk value at the moment t is obtained by adding the contribution value of the temperature parameter, the contribution value of the humidity parameter, and the contribution value of the gas concentration parameter, multiplying the historical influence decay factor and the historical pollution risk value at the moment t-1, and finally adding the two results. The instantaneous influence of the current temperature, humidity, and gas concentration on the microbial pollution risk is considered, as well as the influence of the historical pollution risk value at the moment t-1 after decay. The result obtained by calculating the historical pollution risk value at the moment t is the current pollution risk value at the moment t. The current pollution risk value at the moment t reflects the microbial pollution risk level in the microbial culture medium in the refrigeration mechanism at the moment t.

[0049] Further, when the preset contribution weight corresponding to the temperature parameter, the preset contribution weight corresponding to the humidity parameter, the preset contribution weight corresponding to the gas concentration parameter, and the historical influence decay factor remain unchanged, if the normalized deviation absolute value of the current temperature parameter from the preset optimal culture temperature increases, the contribution value of the temperature parameter will increase, thereby causing the current pollution risk value at the moment t to increase; if the normalized deviation absolute value decreases, the contribution value of the temperature parameter will decrease, thereby causing the current pollution risk value at the moment t to decrease.

[0050] In summary, the present application provides precise and scientific risk judgment basis for the pollution prevention and control of refrigeration mechanisms, and effectively guarantees the refrigeration safety of microbial culture medium. Based on the growth rate experiments of common pollution microorganisms under different temperature, humidity, and gas concentration, the present application determines the preset contribution weights of each environmental parameter, so that the contribution value calculation of each parameter to the pollution risk has the scientificity supported by experiments, can accurately reflect the actual influence degree of different environmental factors on microbial pollution, and avoids the deviation caused by subjective setting of weights.

[0051] In summary, by weighted fusion of multiple environmental parameters (temperature, humidity, and gas concentration) and introduction of a historical influence decay factor combined with the risk value at the previous moment, the present application comprehensively covers the key environmental dimensions affecting pollution and takes into account the time sequence continuity of pollution risk, can dynamically and accurately present the real pollution risk state under the current environment, rather than relying on a single parameter or instantaneous data for judgment, provides reliable quantitative basis for subsequent start of disinfection treatment, guarantees the precision of disinfection operation from the risk evaluation level, and thereby maintains the quality and activity of microbial culture medium.

[0052] ​S4, dynamically adjusting the disinfection trigger threshold of the refrigeration mechanism according to the cumulative running time of the refrigeration mechanism and the historical disinfection frequency; In the embodiments of the present application, the step of dynamically adjusting the disinfection trigger threshold of the refrigeration mechanism according to the cumulative running time of the refrigeration mechanism and the historical disinfection frequency comprises: obtaining the cumulative running time of the refrigeration mechanism since the current continuous operation starts, and obtaining the pre-stored recent historical disinfection frequency record; determining the basic adjustment coefficient of the refrigeration mechanism based on the cumulative running time; determining the frequency correction factor of the refrigeration mechanism based on the recent historical disinfection frequency; calculating the dynamic adjustment amount of the refrigeration mechanism according to the synergistic effect of the basic adjustment coefficient and the frequency correction factor; synthesizing the preset initial disinfection trigger threshold and the dynamic adjustment amount to obtain the disinfection trigger threshold of the refrigeration mechanism.

[0053] In the embodiments of the present application, the calculation formula of the dynamic adjustment amount is: ; In the formula, is the dynamic adjustment amount, is the maximum adjustment amplitude reference value of the basic adjustment coefficient, is a preset time sensitivity coefficient, is the cumulative running time, is the frequency correction factor, is the recent historical disinfection frequency.

[0054] Specifically, when the refrigeration mechanism starts the current continuous operation, the time at the starting moment is recorded, the time at the current moment is recorded in real time by a timing device, and the difference between the time at the current moment and the time at the starting moment is calculated, which is the cumulative running time of the refrigeration mechanism since the current continuous operation starts. At the same time, the pre-stored record of each disinfection operation in a recent fixed time period (such as the last 30 days) is called from the running data storage unit of the refrigeration mechanism, the total number of disinfection operations in the time period is counted, and the total number of records is the pre-stored recent historical disinfection frequency record.

[0055] Further, a preset corresponding relationship table of cumulative running time and basic adjustment coefficient is provided, in which different cumulative running time intervals correspond to unique basic adjustment coefficients (for example, the cumulative running time 1-7 days corresponds to the basic adjustment coefficient 1.0, 8-14 days corresponds to 1.2, and more than 14 days corresponds to 1.5). The obtained cumulative running time is compared with the time intervals in the table, and the coefficient corresponding to the completely matched time interval is the basic adjustment coefficient of the refrigeration mechanism.

[0056] Further, a preset recent history disinfection frequency and frequency correction factor corresponding rule is provided, in which different disinfection frequency intervals correspond to unique frequency correction factors (for example, disinfection 3 times or more in the last 30 days corresponds to a frequency correction factor of 0.8, 1-2 times corresponds to 1.0, and 0 times corresponds to 1.2), the obtained recent history disinfection frequency is compared with the frequency interval in the rule, and the factor corresponding to the completely matched frequency interval is the frequency correction factor of the refrigeration mechanism.

[0057] Further, the synergistic mode of the basic adjustment coefficient and the frequency correction factor is numerical multiplication, the obtained basic adjustment coefficient and the frequency correction factor are multiplied, the decimal points of the two numerical values are aligned during the calculation process, the decimal point position is determined after the calculation according to the integer multiplication rule, and the obtained product result is the dynamic adjustment amount of the refrigeration mechanism.

[0058] Further, the initial disinfection trigger threshold value (such as a preset microbial contamination risk value threshold) is extracted from the parameter preset unit of the refrigeration mechanism, and the synthesis mode of the initial disinfection trigger threshold value and the dynamic adjustment amount is numerical multiplication. The initial disinfection trigger threshold value and the dynamic adjustment amount are multiplied, and the obtained product result is the disinfection trigger threshold value of the refrigeration mechanism.

[0059] Specifically, the maximum adjustment amplitude reference value of the basic adjustment coefficient is obtained by experimentally testing the maximum possible value of the basic adjustment coefficient of the refrigeration mechanism under different cumulative running times, for example, the basic adjustment coefficient when the cumulative running time reaches the designed maximum continuous running time. The maximum value is fixed as the reference value, and the reference value is .

[0060] Further, the source of the preset time sensitivity coefficient is to design multiple groups of experiments in advance according to the influence degree of the cumulative running time of the refrigeration mechanism on the microbial contamination risk. Each group of experiments uses different values, observes the matching degree of the result of “1 minus negative times the cumulative running time” in each group of experiments and the actual contamination risk change trend, selects the value with the highest matching degree as the fixed value, and the fixed value is the preset time sensitivity coefficient .

[0061] Further, the source of the cumulative running time is to trigger the built-in timing device to record the starting time when the refrigeration mechanism starts continuous running, to read the current time displayed by the timing device in real time, and to calculate the time difference between the current time and the starting time. The time difference is the cumulative running time .

[0062] Furthermore, frequency correction factor The frequency correction factor is determined by pre-setting a correction ratio based on the recent historical disinfection frequency's effect on reducing the risk of microbial contamination. For example, the higher the disinfection frequency, the more significant the reduction in contamination risk, and a smaller correction ratio is set accordingly. This fixed correction ratio is then called the frequency correction factor. .

[0063] Furthermore, the recent historical disinfection frequency The data is obtained by retrieving disinfection operation records from the cold storage facility's operational data storage unit within a recent fixed time period (e.g., the last 30 days), counting the number of disinfections in each record, and using the total number of counts as the recent historical disinfection frequency. .

[0064] Furthermore, the formula for calculating the dynamic adjustment amount is obtained by multiplying three parts of the value, the first part being the benchmark value of the maximum adjustment range of the basic adjustment coefficient. Provides the basic benchmark for adjustment, Part Two: "1 minus" negative "Multiplied by cumulative operating time" reflects the impact of cumulative operating time through an exponential relationship. The longer the cumulative operating time, the larger this value, indicating that the longer the operating time, the greater the accumulated pollution risk and the need for larger adjustments. The third part, "1 minus..." The "multiplication by recent historical disinfection frequency" reflects the correction effect of recent disinfection frequency. The higher the recent disinfection frequency, the smaller this value, indicating that more frequent disinfection means a lower risk of contamination and requires a smaller adjustment. The synergistic effect of these three parts, taking into account the baseline, cumulative operating time, and disinfection frequency correction, ultimately yields a dynamic adjustment amount that reflects the current required adjustment range for the disinfection trigger threshold of the refrigeration facility. .

[0065] In summary, enabling the disinfection trigger threshold to possess dynamic characteristics that are deeply adapted to the actual operating status of the refrigeration unit significantly improves the scientific rigor and practicality of threshold setting, providing a reasonable basis for precise disinfection. By obtaining the cumulative operating time of the refrigeration unit to determine the basic adjustment coefficient, the objective situation of decreased internal environment stability and potential accumulation of contamination risks after long-term operation of the equipment can be fully considered. This ensures that the threshold can dynamically adapt to the risk change trend with the operating time, avoiding protection loopholes caused by the mismatch of fixed thresholds and increased risks after long-term operation of the equipment.

[0066] In summary, determining the frequency correction factor by combining recent historical disinfection frequencies can effectively correlate with the effectiveness of previous disinfection and control measures. If the recent disinfection frequency is high, it indicates that the previous contamination risk has been well controlled and the current risk is relatively low. Factor adjustments can be made to avoid over-disinfection caused by excessively low thresholds. Conversely, the threshold can be optimized to suit the risk situation. This dynamic adjustment ensures that the disinfection trigger threshold always closely matches the actual contamination risk level under real-world conditions. This not only prevents false or missed triggers caused by rigid thresholds but also balances disinfection requirements with culture medium protection, reducing the impact of unnecessary disinfection on culture medium activity and further ensuring the safety of the refrigeration process.

[0067] S5. When the current contamination risk value continues to exceed the disinfection trigger threshold, the microbial culture medium is subjected to targeted disinfection treatment; In this embodiment of the invention, the step of performing targeted disinfection treatment on the microbial culture medium when the current contamination risk value continuously exceeds the disinfection trigger threshold includes: Based on the relative relationship between the current pollution risk value and the disinfection trigger threshold, a risk exceedance judgment window for the cold storage facility is established. When the current pollution risk value is detected to exceed the disinfection trigger threshold for the first time, the over-limit duration timer starts counting. If the current contamination risk value is not lower than the disinfection trigger threshold during the duration of the over-limit timer, the over-limit time will continue to accumulate. When the accumulated over-limit time reaches the preset continuous judgment duration, it is determined that the continuous over-limit condition is met, and a targeted disinfection trigger signal for the refrigeration mechanism is generated. Based on the targeted disinfection trigger signal and the dominant environmental parameter type that caused the current pollution risk value to exceed the limit, a corresponding combination of disinfection intensity and duration is selected, and the refrigeration unit is targeted for disinfection based on the combination of disinfection intensity and duration.

[0068] Specifically, based on the relative relationship between the current pollution risk value and the disinfection trigger threshold, a judgment rule is set: if the current pollution risk value is greater than the disinfection trigger threshold, it is included in the monitoring scope; if it is less than or equal to the threshold, it is not included. A framework for monitoring whether the risk continues to exceed the limit is constructed according to this rule. This framework is the risk exceeding the limit judgment window for cold storage facilities.

[0069] Furthermore, the current pollution risk value is compared with the disinfection trigger threshold in real time. When the current pollution risk value is detected to be greater than the disinfection trigger threshold for the first time, the pre-connected over-limit continuous timer is immediately started to start recording time.

[0070] Furthermore, during the operation of the over-limit continuous timer, the current pollution risk value is compared with the disinfection trigger threshold at fixed intervals. If the current pollution risk value is greater than or equal to the disinfection trigger threshold in each comparison, the timer is kept running and the timer duration is continuously accumulated. This accumulated duration is the accumulated over-limit time.

[0071] Furthermore, a preset continuous judgment duration is extracted from the parameter storage unit of the refrigeration unit. The accumulated over-limit time is compared with the preset continuous judgment duration. When the accumulated over-limit time is equal to or exceeds the preset continuous judgment duration, it is directly determined that the continuous over-limit condition is met. At the same time, an instruction to trigger the disinfection operation is generated. This instruction is the targeted disinfection trigger signal of the refrigeration unit.

[0072] Furthermore, the reasons for the current pollution risk value exceeding the limit are first analyzed. By comparing the contribution values ​​of temperature, humidity, and gas concentration parameters, the type of environmental parameter corresponding to the largest contribution value is determined. This type is the dominant environmental parameter type causing the exceedance. Then, from the pre-stored disinfection scheme library, an entry that perfectly matches the targeted disinfection trigger signal and the dominant environmental parameter type is found. The disinfection intensity and duration contained in this entry are the corresponding combination of disinfection intensity and duration. Finally, the operating parameters of the disinfection equipment are set according to this combination, and the disinfection equipment is started to disinfect the interior of the refrigeration unit.

[0073] In summary, it can precisely control the timing of disinfection triggering and achieve targeted disinfection, effectively balancing disinfection efficacy and microbial culture medium protection. By establishing a risk exceeding the limit judgment window, and using the cumulative duration of the exceeding limit timer as the triggering basis, rather than performing disinfection immediately upon a single parameter exceeding the limit, it can eliminate false triggering caused by instantaneous fluctuations in environmental parameters, avoid unnecessary disinfection operations that could damage the activity of the culture medium, and ensure its original experimental application characteristics.

[0074] In summary, combining the dominant environmental parameter types that lead to excessive risks with the corresponding combination of disinfection intensity and duration allows disinfection operations to directly target the root cause of the risk. This not only improves the accuracy and efficiency of disinfection and ensures that contamination risks are effectively controlled, but also avoids the problems of insufficient or excessive intensity that may exist in general disinfection programs. Furthermore, it maintains the quality stability of microbial culture media during refrigeration and provides a reliable guarantee for the accuracy of subsequent experimental applications.

[0075] S6. After disinfection, restore and maintain the preset refrigeration temperature of the microbial culture medium, and return to step S3 to perform closed-loop monitoring of the refrigeration mechanism.

[0076] In this embodiment of the invention, after the disinfection treatment, the preset refrigeration temperature of the microbial culture medium is restored and maintained, and the process returns to step S3 to perform closed-loop monitoring of the refrigeration mechanism, including: After the targeted disinfection is completed, the disinfection is stopped, and the gaseous substances remaining in the refrigeration mechanism after disinfection are discharged; After the concentration of the remaining substances is reduced to a safe level, the temperature inside the refrigeration mechanism is restored to the preset refrigeration temperature; When the environmental parameters are stable, the execution of step S3 is returned to, and the weighted fusion of the contribution values of the environmental parameters of the refrigeration mechanism in the current situation to the microbial contamination risk in the microbial culture medium is restarted to obtain the contamination risk value of the refrigeration mechanism in the current situation.

[0077] Specifically, after the targeted disinfection operation is completed according to the preset disinfection intensity and action time combination, the power supply of the disinfection device is turned off or the disinfection agent supply valve is stopped, and the disinfection is stopped. At the same time, the exhaust fan built in the refrigeration mechanism is started, and the exhaust port on the top or side of the device is opened, so that the air inside the refrigeration mechanism and the clean air outside form a convection, and the gaseous substances remaining after disinfection are discharged with the airflow through the exhaust port.

[0078] Further, in the process of discharging the remaining gaseous substances, the concentration value of the remaining gaseous substances is read in real time by the gas concentration sensor installed in the refrigeration mechanism, and the value is continuously compared with the pre-stored safe concentration of the remaining substances. When the concentration value read by the sensor is continuously equal to or lower than the safe concentration, it is determined that the concentration of the remaining substances has been reduced to a safe level. Subsequently, the refrigeration system of the refrigeration mechanism is started, the operating power of the compressor in the refrigeration system and the flow of the refrigerant are adjusted, the temperature inside the refrigeration mechanism is gradually lowered, and the temperature is stabilized at the pre-stored preset refrigeration temperature. The power adjustment of the refrigeration system is stopped, and the stable operation is maintained.

[0079] Further, after the temperature inside the refrigeration mechanism is stabilized at the preset refrigeration temperature, the temperature, humidity, gas concentration and other environmental parameters are continuously monitored. When the values of the environmental parameters are maintained in the preset stable fluctuation range (such as temperature fluctuation ±0.5℃, humidity fluctuation ±2%, gas concentration fluctuation ±0.01%) for a continuous fixed time (such as 1 hour), it is determined that the environmental parameters are stable. At this time, the temperature parameters, humidity parameters and gas concentration parameters collected at the current time and subsequent fixed intervals (such as every 10 minutes) are extracted to form the environmental parameter sequence of the refrigeration mechanism in the current situation. According to the operation mode of step S3, each environmental parameter in the environmental parameter sequence is multiplied by the corresponding preset contribution weight to obtain the contribution value of each environmental parameter to the microbial contamination risk in the microbial culture medium. Then, all the contribution values are weighted and fused according to the preset fusion mode (such as numerical addition) to obtain the contamination risk value of the refrigeration mechanism in the current situation.

[0080] In general, through the combination design of "post-disinfection environment recovery + closed-loop monitoring", the quality of the microbial culture medium refrigeration is double guaranteed, the disinfection effect is effectively consolidated, and the subsequent risks are avoided. After disinfection, the residual gaseous substances in the refrigeration mechanism are discharged first, and then the preset refrigeration temperature is recovered and maintained after the concentration is reduced to a safe level. The chemical damage of disinfection residues to the culture medium can be avoided, and the sudden rise and fall or deviation of the preset temperature range to damage the composition and activity of the culture medium can be prevented. Therefore, the culture medium after disinfection can still be in a stable environment meeting the storage requirements, and the original experimental application value is maintained.

[0081] In general, returning to step S3 to redevelop the pollution risk assessment and monitoring can dynamically track the change of the refrigeration environment based on the real-time environment parameter sequence after recovery to the stable state, capture the problems such as temperature and humidity abnormalities, excessive gas concentration and the like that may occur again after disinfection in time, form a complete management closed loop of "disinfection-recovery-re-monitoring", avoid the risk accumulation caused by the monitoring blank period after disinfection, ensure that the microbial culture medium is in a stable state with low pollution risk during the whole refrigeration period, and further guarantee the quality safety and subsequent application reliability of the microbial culture medium.

[0082] As shown in Figure 2 FIG. 1 is a functional module diagram of an automatic disinfection microbial culture medium refrigeration generation system according to an embodiment of the present application.

[0083] The automatic disinfection microbial culture medium refrigeration generation system 100 can be installed in an electronic device. According to the functions to be realized, the automatic disinfection microbial culture medium refrigeration generation system 100 can include a refrigeration module 101, a data processing module 102, a risk calculation module 103, a disinfection trigger threshold determination module 104, a targeted disinfection module 105 and a closed-loop monitoring module 106. The modules of the present application can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete a fixed function, and are stored in the memory of the electronic device.

[0084] In the embodiment, the functions of each module / unit are as follows: The refrigeration module 101 is used for loading the microbial culture medium into the refrigeration mechanism and starting the refrigeration function of the refrigeration mechanism to maintain the preset refrigeration temperature of the microbial culture medium. The data processing module 102 is used for data normalization of the multi-source environment data of the refrigeration mechanism to obtain the environment parameter sequence of the refrigeration mechanism. The risk calculation module 103 is used for weighting and fusing the contribution values of the microbial pollution risks in the microbial culture medium according to the environment parameters in the environment parameter sequence to obtain the current pollution risk value of the refrigeration mechanism under the current environment. The disinfection trigger threshold determination module 104 is configured to dynamically adjust the disinfection trigger threshold of the refrigeration mechanism according to the cumulative running time of the refrigeration mechanism and the historical disinfection frequency. The targeted disinfection module 105 is configured to perform targeted disinfection on the microbial culture medium when the current contamination risk value continuously exceeds the disinfection trigger threshold. The closed-loop monitoring module 106 is configured to, after disinfection, restore and maintain the preset refrigeration temperature of the microbial culture medium, and return the risk calculation module to monitor the refrigeration mechanism in a closed loop.

[0085] In several embodiments provided in the present application, it should be understood that the disclosed method and system can be implemented in other ways. For example, the system embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and actual implementation can have another division way.

[0086] The modules described as separate components can or can not be physically separated, and the components shown as modules can or can not be physical units, that is, they can be located in one place, or distributed to multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs.

[0087] In addition, the functional modules in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software function modules.

[0088] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0089] The embodiments of the present application can acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence is to use digital computers or digital computer controlled machines to simulate, extend and expand human intelligence, perceive environment, acquire knowledge and use knowledge to obtain the best results.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A method for the automated production of a cold sterilized microbiological culture medium, characterized in that, The method comprises: S1, loading the microbial culture medium into the refrigeration mechanism, and starting the refrigeration function of the refrigeration mechanism to maintain the microbial culture medium at a preset refrigeration temperature; S2, data normalization is performed on the multi-source environmental data of the refrigeration mechanism to obtain an environmental parameter sequence of the refrigeration mechanism; S3, according to the environmental parameters in the environmental parameter sequence, the contribution value of the microbial contamination risk in the microbial culture medium is weighted and fused to obtain a current contamination risk value of the refrigeration mechanism under the current environment; S4, dynamically adjusting the disinfection trigger threshold of the refrigeration mechanism according to the cumulative running time and historical disinfection frequency of the refrigeration mechanism; S5, when the current contamination risk value continuously exceeds the disinfection trigger threshold, the microbial culture medium is subjected to targeted disinfection treatment; S6, after the disinfection treatment, the preset refrigeration temperature of the microbial culture medium is restored and maintained, and the refrigeration mechanism is returned to step S3 for closed-loop monitoring.

2. A method of automated sterilization of a microbiological medium cold generation as claimed in claim 1, characterized in that, The loading of the microbial culture medium into the refrigeration mechanism and the starting of the refrigeration function of the refrigeration mechanism to maintain the microbial culture medium at a preset refrigeration temperature comprises: Before loading the microbial culture medium, the cleanliness of the inner cavity of the refrigeration mechanism is confirmed to ensure that the inner cavity environment meets the initial cleanliness requirement for microbial preservation; The packaged microbial culture medium is sequentially placed on the carrier of the refrigeration mechanism at a preset interval to ensure the air flow between the culture media; After closing the sealing door of the refrigeration mechanism, the refrigeration function is started to smoothly reduce the internal temperature of the refrigeration mechanism to the preset refrigeration temperature; When the internal temperature of the refrigeration mechanism stabilizes in the preset refrigeration temperature range, it is confirmed that the microbial culture medium has reached a stable initial refrigeration state.

3. A method for automated sterilization of a microbiological media cold generation as claimed in claim 1, wherein, The data normalization of the multi-source environmental data of the refrigeration mechanism to obtain the environmental parameter sequence of the refrigeration mechanism comprises: The temperature sampling value, humidity sampling value and gas concentration sampling value read by the sensor in the refrigeration mechanism are collected as the original environmental data set of the refrigeration mechanism; The abnormal data points in the original environmental data set caused by instantaneous interference of the sensor are removed to obtain the clean environmental data set of the refrigeration mechanism; The clean environmental data set is sequentially integrated and arranged according to the timestamp to obtain the environmental parameter sequence of the refrigeration mechanism.

4. A method for the automated production of sterilized microbiological media cold storage as claimed in claim 1, characterized in that, The contribution value of the microbial contamination risk comprises: Based on the growth rate experiment of common contaminating microorganisms under different temperature, humidity and gas concentration conditions, the preset contribution weight corresponding to the environmental parameters in the environmental parameter sequence is determined in advance; The environmental parameters are multiplied by the preset contribution weight to obtain the contribution value of the environmental parameters to the microbial contamination risk in the microbial culture medium.

5. A method of automated sterilization of a microbiological medium cold generation as claimed in claim 4, characterized in that, The calculation formula of the current contamination risk value is as follows: ； In the formula, is the current pollution risk value at the moment, is a preset contribution weight corresponding to the temperature parameter, is a normalized deviation absolute value of the current temperature parameter and a preset optimal culture temperature, is a preset contribution weight corresponding to the humidity parameter, is a normalized deviation absolute value of the current humidity parameter and a preset optimal humidity, is a preset contribution weight corresponding to the gas concentration parameter, is a normalized deviation absolute value of the current gas concentration parameter and a clean environment reference concentration, is a historical influence decay factor, is the historical pollution risk value at the moment, is a contribution value of the temperature parameter, is a contribution value of the humidity parameter, is a contribution value of the gas concentration parameter.

6. A method for the automated production of sterilized microbiological media cold storage as claimed in claim 1, characterized in that, The dynamic adjustment of the disinfection trigger threshold of the refrigeration mechanism according to the cumulative running time and historical disinfection frequency of the refrigeration mechanism comprises: The cumulative running time of the refrigeration mechanism since the start of this continuous operation is obtained, and the recent historical disinfection frequency record is obtained. determine a base adjustment coefficient of the refrigeration mechanism based on the accumulated running time; determine a frequency correction factor of the refrigeration mechanism based on the recent history disinfection frequency; calculate a dynamic adjustment amount of the refrigeration mechanism according to a synergistic effect of the base adjustment coefficient and the frequency correction factor; synthesize a preset initial disinfection trigger threshold and the dynamic adjustment amount to obtain a disinfection trigger threshold of the refrigeration mechanism.

7. A method of automated sterilization of a microbiological medium cold generation as claimed in claim 6, characterized in that, The calculation formula of the dynamic adjustment amount is: ； In the formula, is the dynamic adjustment amount, is the maximum adjustment range reference value of the base adjustment coefficient, is a preset time sensitivity coefficient, is the cumulative running time, is the frequency correction factor, is the recent history disinfection frequency.

8. A method for the automated production of sterilized microbiological media cold packs as defined in claim 1, wherein, when the current pollution risk value continuously exceeds the disinfection trigger threshold, perform targeted disinfection treatment on the microbial culture medium, including: establish a risk overrun judgment window of the refrigeration mechanism based on the relative relationship between the current pollution risk value and the disinfection trigger threshold; when the current pollution risk value exceeds the disinfection trigger threshold for the first time, start the overrun duration timer; during the counting of the overrun duration timer, the current pollution risk value is always not lower than the disinfection trigger threshold, then continuously accumulate the overrun time; when the accumulated overrun time reaches a preset continuous judgment duration, determine that the continuous overrun condition is met, and generate a targeted disinfection trigger signal of the refrigeration mechanism; according to the targeted disinfection trigger signal and the dominant environmental parameter type causing the current pollution risk value to overrun, select a corresponding disinfection intensity and action duration combination, and perform targeted disinfection on the refrigeration mechanism based on the disinfection intensity and action duration combination.

9. A method of automated sterilization of a microbiological medium cold generation as claimed in claim 8, characterized in that, After the disinfection treatment, restore and maintain the preset refrigeration temperature of the microbial culture medium, and return to step S3 to monitor the refrigeration mechanism in a closed loop, including: after the targeted disinfection is executed, stop disinfection work, and discharge gaseous substances remaining in the refrigeration mechanism after disinfection treatment; after the concentration of the remaining substances decreases to a safe level, restore the internal temperature of the refrigeration mechanism to the preset refrigeration temperature; when the environmental parameters are stable, return to step S3 to re-start the weighted fusion of the contribution value of the microbial pollution risk in the microbial culture medium based on the environmental parameter sequence of the refrigeration mechanism under the current situation, and obtain the pollution risk value of the refrigeration mechanism under the current situation.

10. An automated sterilization microbial culture medium refrigeration generation system, characterized in that, The system comprises: a refrigeration module for loading a microbial culture medium into a refrigeration mechanism and starting the refrigeration function of the refrigeration mechanism to maintain the microbial culture medium at a preset refrigeration temperature; a data processing module for data normalization of multi-source environmental data of the refrigeration mechanism to obtain an environmental parameter sequence of the refrigeration mechanism; a risk calculation module for weighted fusion of the contribution value of the microbial pollution risk in the microbial culture medium according to the environmental parameters in the environmental parameter sequence to obtain the current pollution risk value of the refrigeration mechanism under the current environment; a disinfection trigger threshold determination module for dynamically adjusting the disinfection trigger threshold of the refrigeration mechanism according to the accumulated running time and the history disinfection frequency of the refrigeration mechanism; a targeted disinfection module for performing targeted disinfection treatment on the microbial culture medium when the current pollution risk value continuously exceeds the disinfection trigger threshold. a closed loop monitoring module for resuming and maintaining the preset refrigeration temperature of the microbiological medium after the sterilization process, returning the refrigeration mechanism to the closed loop monitoring of the risk calculation module.

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