A temperature control method and system for heat treatment of pathogens

Abstract

The present application relates to the field of temperature control technology, and specifically to a temperature control method and system for pathogen heat treatment, the method comprising: collecting the ambient temperature and ambient humidity at each moment in the pathogen heat treatment environment; determining the heat treatment steady-state value of the heat treatment environment at each moment; determining the survival state influence of pathogen carriers at each moment; obtaining the activity inhibition characteristic value of the pathogen at each moment; obtaining the heat treatment temperature suitability at each moment; determining the sterilization effectiveness at each moment; determining the cumulative sterilization effect at the current moment; based on the difference between the cumulative sterilization effect and the preset threshold value, combined with the heat treatment temperature at the current moment and the preset temperature adjustment size, obtaining the feedback temperature at the current moment, and combining with the PID controller to control the temperature of the pathogen heat treatment. Thereby improving the accuracy of the temperature control of the pathogen heat treatment.

Description

Technical Field

[0001] The present application relates to the field of temperature control technology, and in particular to a temperature control method and system for heat treatment of pathogens. Background Art

[0002] In the process of cross-border movement of imported grain, since it is easy to carry pathogens, it poses a risk of spreading plant diseases and may even cause serious agricultural disease outbreaks. Therefore, detecting and killing potential pathogenic microorganisms in imported grain can provide a major safety guarantee for the cultivation of imported grain.

[0003] At present, heat treatment is mainly used to kill pathogenic microorganisms in imported grains. However, in the process of heat treatment of pathogens in imported grains, it is difficult to improve the sterilization effect of heat treatment of pathogens while ensuring that the activity of the imported grains is not affected, resulting in low accuracy of heat treatment temperature control. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a temperature control method and system for pathogen heat treatment. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides a temperature control method for heat treatment of pathogens, the method comprising the following steps:

[0006] Collect the ambient temperature and humidity at each time in the pathogen heat treatment environment;

[0007] Analyze the correlation between the ambient temperature and the ambient humidity at each time and its adjacent time, and the distribution of the correlation between each time and its adjacent time, to determine the impact of the survival state of the pathogen carrier at each time; determine the activity inhibition characteristic value of the pathogen at each time based on the difference between the ambient temperature at each time and the preset virus inhibition temperature;

[0008] Determine the suitability of the heat treatment temperature at each moment by combining the survival state influence and the activity inhibition characteristic value; Analyze the difference between the activity inhibition characteristic value at each moment and its adjacent moments and the set bactericidal action threshold, and determine the bactericidal effectiveness at each moment by combining the suitability of the heat treatment temperature;

[0009] Based on the sterilization effectiveness at all times before the current moment, the cumulative sterilization effect degree at the current moment is determined; based on the difference between the cumulative sterilization effect degree and the preset threshold value, combined with the heat treatment temperature at the current moment and the preset temperature adjustment size, the feedback temperature at the current moment is obtained to control the temperature of the heat treatment of the pathogen.

[0010] In one embodiment, the construction of the survival status influence includes:

[0011] The ambient temperature and ambient humidity at each moment and its adjacent moments are respectively combined into an adjacent temperature sequence and an adjacent humidity sequence at each moment; the correlation between the adjacent temperature sequence and the adjacent humidity sequence at each moment is calculated, thereby obtaining a heat treatment steady-state value, wherein the heat treatment steady-state value is negatively correlated with the correlation;

[0012] The survival state influence degree is obtained based on the discrete degree of the thermal treatment steady-state value at each moment and its adjacent moments and in combination with the thermal treatment steady-state value at each moment.

[0013] In one embodiment, the survival state influence degree is the ratio of the discrete degree to the thermal treatment steady-state value at the corresponding moment.

[0014] In one embodiment, the activity inhibition characteristic value is a normalized result of the difference between the ambient temperature at each moment and a preset virus inhibition temperature.

[0015] In one embodiment, the heat treatment temperature suitability is the ratio of the activity inhibition characteristic value to the survival state influence at each moment.

[0016] In one embodiment, the determination of the bactericidal effectiveness comprises:

[0017] The normalized value of the sum of the differences between the activity inhibition characteristic value at each moment and its adjacent moments and the bactericidal threshold is calculated, and the bactericidal effectiveness is the product of the normalized value at each moment and the suitability of the heat treatment temperature.

[0018] In one embodiment, the cumulative bactericidal effect is calculated as follows: H = 1-exp(-Sc); wherein H is the cumulative bactericidal effect at the current moment, Sc is the cumulative sum of the bactericidal effectiveness at all moments before the current moment, and exp() is an exponential function with a natural constant as the base.

[0019] In one embodiment, the determination of the feedback temperature includes:

[0020] The difference between the preset threshold and the current cumulative sterilization effect degree is calculated, the product of the difference and the temperature adjustment size is calculated, and the sum of the product and the heat treatment temperature at the current moment is used as the feedback temperature.

[0021] In one embodiment, the controlling the temperature of the heat treatment comprises:

[0022] Based on the heat treatment temperature and feedback temperature at the current moment, a temperature control signal for heat treatment of pathogens is obtained.

[0023] In a second aspect, an embodiment of the present application also provides a temperature control system for thermal treatment of pathogens, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above-mentioned methods when executing the computer program.

[0024] This application has at least the following beneficial effects:

[0025] The present application collects the ambient temperature and ambient humidity at each moment in the pathogen heat treatment environment; analyzes the correlation between the ambient temperature and ambient humidity at each moment and its adjacent moments, and determines the thermal treatment steady-state value of the thermal treatment environment at each moment; the thermal treatment steady-state value reflects the degree of correlation between the ambient temperature and ambient humidity during the thermal treatment process, and further reflects the degree of influence of the thermal treatment environment at this time on the activity of pathogen carriers, thereby improving the rationality of temperature control of pathogen heat treatment; analyzes the discrete degree of the thermal treatment steady-state value at each moment and its adjacent moments, and determines the influence of the survival state of the pathogen carrier at each moment in combination with the thermal treatment steady-state value at each moment; the survival state influence reflects the influence of the thermal treatment environment on the survival state of the pathogen carrier; based on the difference between the ambient temperature at each moment and the preset virus inhibition temperature, determines the activity inhibition characteristic value of the pathogen at each moment; the activity inhibition characteristic value reflects the inhibitory effect of the thermal treatment environment on the pathogen, thereby improving the reliability of temperature control of the thermal treatment; combined with the survival state The state influence degree and the activity inhibition characteristic value are used to determine the suitability of the heat treatment temperature at each moment; the segmentation threshold of the activity inhibition characteristic value of all moments is obtained, which is recorded as the bactericidal threshold; the difference between the activity inhibition characteristic value and the bactericidal threshold at each moment and its adjacent moments is analyzed, and the bactericidal effectiveness at each moment is determined in combination with the heat treatment temperature suitability; the bactericidal effectiveness reflects the bactericidal effect of different heat treatment temperatures on pathogens, and improves the effectiveness of heat treatment temperature control; finally, based on the bactericidal effectiveness of all moments before the current moment, the cumulative bactericidal effect degree at the current moment is determined; based on the difference between the cumulative bactericidal effect degree and the preset threshold, combined with the heat treatment temperature at the current moment and the preset temperature adjustment size, the feedback temperature at the current moment is obtained, and the temperature of the heat treatment of the pathogen is controlled in combination with the PID controller, thereby avoiding the problem of poor bactericidal effect caused by low accuracy of temperature control of the heat treatment of the pathogen, improving the accuracy of temperature control of the heat treatment of the pathogen, and the bactericidal effect of heat treatment of the pathogen. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A flow chart of the steps of a temperature control method for heat treatment of pathogens provided in one embodiment of the present application;

[0028] Figure 2 This is a schematic diagram of the strong correlation between temperature and humidity;

[0029] Figure 3 This is a schematic diagram of the weak correlation between temperature and humidity;

[0030] Figure 4 Schematic diagram of activity suppression feature value segmentation;

[0031] Figure 5 Construct a flow chart for the feedback temperature. DETAILED DESCRIPTION

[0032] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of a temperature control method and system for heat treatment of pathogens proposed in accordance with the present application, its specific implementation, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0033] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0034] The following is a detailed description of a specific scheme of a temperature control method and system for heat treatment of pathogens provided by the present application in conjunction with the accompanying drawings.

[0035] See also Figure 1 , which shows a flow chart of the steps of a temperature control method for heat treatment of pathogens provided by an embodiment of the present application, the method comprising the following steps:

[0036] S1, collecting the ambient temperature and humidity at each time in the pathogen heat treatment environment.

[0037] Imported grains are prone to carry pathogens such as bacteria, fungi, oomycetes and viruses, and these pathogens will spread with seeds, which will have a significant impact on the ecological environment and economic development of the planting area. For example, imported corn is prone to contain pathogens such as maize chlorotic mottle virus, maize bacterial wilt, and maize internal wilt; imported wheat is prone to contain pathogens such as wheat dwarf bunt, wheat streak mosaic virus, and oat mosaic virus; imported soybeans are prone to contain pathogens such as soybean mosaic virus. In order to ensure the safety of imported grain planting, it is necessary to heat treat the imported grain for pathogens in order to effectively remove potential pathogens in the imported grain, thereby effectively ensuring the safety of imported grain planting.

[0038] In order to perform pathogen heat treatment on inbound grains, this embodiment adopts fluorescent quantitative PCR detection technology to perform pathogen detection on N batches of imported inbound grain samples, and identifies the corresponding batches containing pathogens. Fluorescent quantitative PCR detection is an existing well-known technology, and the specific process is not repeated here. In this embodiment, N=10, and the implementer can set it according to the actual situation, and this embodiment does not limit it here.

[0039] The incoming grain corresponding to the batch containing pathogens is heat-treated. In order to improve the sterilization effect of the heat treatment of pathogens in the incoming grain, it is necessary to control and optimize the temperature during the heat treatment process. In the process of heat treatment of pathogens in the incoming grain, the ambient temperature and humidity of the incoming grain at each moment are collected by a temperature sensor and a humidity sensor. In this embodiment, the sampling rate is 10 Hz and the sampling time is 5 minutes. The implementer can set it according to the actual situation, and this embodiment does not limit it here.

[0040] S2, analyzing the correlation between the ambient temperature and the ambient humidity at each moment and its adjacent moments, and determining the thermal treatment steady-state value of the thermal treatment environment at each moment; analyzing the discrete degree of the thermal treatment steady-state value at each moment and its adjacent moments, and combining the thermal treatment steady-state value at each moment to determine the influence of the survival status of pathogen carriers at each moment; based on the difference between the ambient temperature at each moment and the preset virus inhibition temperature, determining the activity inhibition characteristic value of the pathogen at each moment.

[0041] This example uses imported soybean grains carrying soybean mosaic virus as an example for analysis. The soybean mosaic virus carried by imported soybean grains is a virus that is extremely sensitive to temperature. Relevant studies have shown that 25-26°C is suitable for the spread of the virus, and the spread of the virus is inhibited when it exceeds 30°C. When it exceeds 50°C, it is easy to damage the structure of the virus, thereby inactivating the virus. However, in the process of heat treatment of imported soybean grains, it is necessary to avoid affecting the activity of the imported soybean grains. As soybean seeds, the inactivation conditions of imported soybean grains are affected by the correlation between temperature and humidity. In order to avoid the influence of high temperature on the activity of soybean seeds, it is necessary to analyze the correlation characteristics between temperature and humidity.

[0042] Generally speaking, if the correlation between the change in ambient temperature and the change in ambient humidity of imported soybean grains during the heat treatment process is low, it reflects that the mutual influence between temperature and humidity in the heat treatment environment is small, which to a certain extent indicates that the heat treatment environment has little effect on the survival of soybean seeds. However, a sharp change in temperature in the environment will cause a sharp change in ambient humidity. At this time, there is a high correlation between temperature and humidity, that is, the mutual influence between temperature and humidity in the heat treatment environment is large, and the heat treatment environment is likely to affect the survival of soybean seeds.

[0043] In order to identify the steady-state characteristics of the heat treatment environment at different sampling moments, a set consisting of M sampling moments with the closest time intervals between each sampling moment is recorded as the adjacent sampling set of each sampling moment; in this embodiment, M=30, and the implementer can set it according to actual conditions, and this embodiment does not impose any restrictions here.

[0044] The sequences composed of the ambient temperature and ambient humidity at each moment and all the sampling moments in the adjacent sampling set in chronological order are respectively used as the adjacent temperature sequence and adjacent humidity sequence of each sampling moment. The adjacent temperature sequence and adjacent humidity sequence reflect the temperature and humidity changes of the heat treatment environment in the local time. The stronger the correlation between the changes in temperature and humidity, the greater the mutual influence between the temperature and humidity in the heat treatment environment at this time, indicating that the steady-state characteristics of the heat treatment environment at this time are smaller, and the greater the influence of temperature and humidity on the survival of soybean seeds at this time. Specifically, the schematic diagram of the strong correlation between temperature and humidity is shown as follows Figure 2 As shown; on the contrary, if the correlation between the changes in temperature and humidity is weaker, the mutual influence between temperature and humidity in the heat treatment environment is smaller, which means that the steady-state characteristics of the heat treatment environment are greater, and the influence of temperature and humidity on soybean seed survival is smaller. Specifically, the schematic diagram of the weak correlation between temperature and humidity is shown in Figure 3 shown.

[0045] Based on the above analysis, the heat treatment steady-state value of the heat treatment environment at each sampling moment during the heat treatment process is calculated. The calculation method in this embodiment can be:

[0046] D t =exp(-|corr(C t ,V t )|), where D t is the heat treatment steady-state value of the heat treatment environment at time t, exp() is an exponential function with a natural constant as the base, corr() is the Pearson correlation coefficient function, C t and V t are the adjacent temperature sequence and humidity sequence at time t, respectively, corr(C t ,V t ) is the adjacent temperature sequence C t and adjacent humidity sequence V t The Pearson correlation coefficient between .

[0047] In another embodiment, the calculation method of the thermal treatment steady-state value of the thermal treatment environment at each moment may be:

[0048] D t =Norm(-|Cs(C t ,V t )|), where D t is the heat treatment steady-state value of the heat treatment environment at time t, Norm() is the normalization function, C t and V t They are the adjacent temperature sequence and adjacent humidity sequence at time t, Cs(C t ,V t ) is the adjacent temperature sequence C t and adjacent humidity sequence V t The cosine similarity between .

[0049] The calculation of the Pearson correlation coefficient and the cosine similarity are both existing well-known technologies, and the specific process will not be described in detail.

[0050] The larger the absolute value of the Pearson correlation coefficient is, the greater the mutual influence between temperature and humidity when the pathogens in the imported soybean grain are heat treated, and the more unfavorable it is to maintain the steady-state characteristics of the heat treatment environment. The smaller the steady-state value of the heat treatment is, that is, the more likely the interaction between temperature and humidity in the heat treatment environment is to affect the viability of soybean seeds.

[0051] Normally, due to certain limitations on the tolerance of imported soybean grains, it is necessary to ensure the stability of the temperature and humidity conditions in the local time during the heat treatment process of the imported soybean grains. The worse the stability of the temperature and humidity conditions in the local time, that is, the greater the unstable fluctuations in the steady-state characteristics of the heat treatment in the local time, and the smaller the steady-state value of the heat treatment in the heat treatment environment of the imported soybean grains, the more likely it is to affect the survival status of the soybean seeds.

[0052] Based on the above analysis, the impact of the survival status of imported soybean grains at each sampling time during the heat treatment process is calculated. The specific calculation method is:

[0053] R t =P t / D t , where R t is the impact of the survival status of imported soybean grain at time t, P t is the discrete degree of the heat treatment steady-state values ​​corresponding to all moments in the adjacent sampling set at time t, D t It is the heat treatment steady-state value of the heat treatment environment at time t.

[0054] In this embodiment, the degree of dispersion is calculated by information entropy. The calculation of information entropy is a well-known technology, and the specific process is not repeated here. In other embodiments, variance, standard deviation, etc. can be used as the calculation method of the degree of dispersion. When the information entropy at time t is larger and the heat treatment steady-state value is smaller, it means that the mutual influence relationship between temperature and humidity when the imported soybean grain is heat treated at this time is greater, that is, the greater the unstable fluctuation change of the heat treatment steady-state characteristics in the local time, and the worse the stable state of temperature and humidity in the heat treatment environment, the more likely it is to affect the survival state of the imported grain, and the greater the survival state influence.

[0055] In order to optimize the temperature control during the heat treatment process, while considering the impact on the survival state of imported soybean grains, it is also necessary to consider the effect of sterilizing soybean mosaic virus in imported soybean grains. Soybean mosaic virus is sensitive to the temperature during the heat treatment process. In order to analyze the virus inactivation characteristics of soybean mosaic virus in imported soybean grains, the normalized result of the difference between the ambient temperature at each sampling moment and the preset virus inhibition temperature is recorded as the activity inhibition characteristic value of soybean mosaic virus in imported soybean grains at each sampling moment. In this embodiment, the preset virus inhibition temperature is 30°C. In the process of heat treatment of soybean mosaic virus in imported soybean grains, the greater the normalized result of the difference between the actual temperature in the heat treatment environment and the virus inhibition temperature, the greater the inhibitory effect on the activity of soybean mosaic virus, and the greater the activity inhibition characteristic value. It should be noted that when the heat treatment temperature is higher than 30°C, it begins to inhibit and sterilize soybean mosaic virus, so the virus inhibition temperature is set to 30°C in this embodiment.

[0056] It should be noted that, in this embodiment, except for the normalization method given, the remaining normalization results are all obtained by using the Sigmoid function. The implementer can choose other existing feasible normalization methods according to actual conditions, and this embodiment does not limit this.

[0057] S3, combining the survival status influence and the activity inhibition characteristic value to determine the suitability of the heat treatment temperature at each moment; obtaining the segmentation threshold of the activity inhibition characteristic value at all moments, recorded as the bactericidal threshold; analyzing the difference between the activity inhibition characteristic value at each moment and its adjacent moments and the bactericidal threshold, and combining the suitability of the heat treatment temperature to determine the bactericidal effectiveness at each moment.

[0058] Generally speaking, during the heat treatment of soybean mosaic virus in imported soybean grains, the smaller the impact of the change in heat treatment temperature on the survival of imported soybean grains, and the greater the inhibitory effect on the activity of soybean mosaic virus, the more it can be explained that the heat treatment temperature is more suitable at this time, and the more conducive it is to sterilize the soybean mosaic virus in imported soybean grains. At the same time, with the increase of the activity inhibition characteristic value, when the activity inhibition characteristic value is higher than a certain level, there is a greater possibility of damage to the soybean mosaic virus, thereby inactivating the virus, and at this time, the sterilization effect of the heat treatment can be better reflected.

[0059] In order to measure the range of values ​​of the activity inhibition feature value that can reach the virus inactivation during the heat treatment process, so as to better measure the bactericidal effect during the heat treatment process, the activity inhibition feature values ​​corresponding to all sampling moments before the current moment are used as the input of the maximum inter-class variance algorithm, and the output segmentation threshold is used as the bactericidal effect threshold during the heat treatment process. The maximum inter-class variance algorithm is a well-known technology, and the specific process will not be repeated here. The implementer can choose other existing feasible threshold segmentation algorithms according to actual conditions, and this embodiment does not limit it here. The schematic diagram of activity inhibition feature value segmentation is shown in the figure. Figure 4 shown.

[0060] Based on the above analysis, the bactericidal effectiveness at each sampling moment during the heat treatment process is calculated. The specific calculation method is:

[0061] G t =f t / R t , where G t is the heat treatment temperature suitability at time t during the heat treatment process, f t is the activity inhibition characteristic value of soybean mosaic virus in the imported soybean grain at time t, R t is the impact of the survival status of imported soybean grain at time t.

[0062] The suitability of heat treatment temperature reflects the suitability of temperature during heat treatment of soybean mosaic virus in imported soybean grains, that is, the greater the suitability of heat treatment temperature, the higher the suitability of temperature during heat treatment of soybean mosaic virus in imported soybean grains.

[0063] In the formula, S t is the sterilization effectiveness at time t during the heat treatment process, Norm() is the normalization function, M is the number of all moments in the adjacent sampling set at time t, and f t,i is the activity inhibition characteristic value corresponding to the i-th moment in the adjacent sampling set at time t, F is the bactericidal threshold during the heat treatment process, G t is the suitability of the heat treatment temperature at time t during the heat treatment process.

[0064] When the activity inhibition characteristic value is higher than the bactericidal threshold, it means that the heat treatment process has a stronger bactericidal effect on soybean mosaic virus. At the same time, the higher the suitability of the heat treatment temperature, the more conducive it is to the disinfection and sterilization of soybean mosaic virus. That is, the more effective the sterilization of soybean mosaic virus in imported soybean grain is, the greater the bactericidal effectiveness.

[0065] S4, based on the sterilization effectiveness of all moments before the current moment, determine the cumulative sterilization effect degree at the current moment; based on the difference between the cumulative sterilization effect degree and the preset threshold value, combined with the heat treatment temperature at the current moment and the preset temperature adjustment size, obtain the feedback temperature at the current moment, and control the temperature of the heat treatment of the pathogen in combination with the PID controller.

[0066] In order to accurately control the heat treatment temperature, it is necessary to analyze the cumulative bactericidal effect characteristics of soybean mosaic virus at the current moment. The larger the cumulative bactericidal effect characteristics, the better the bactericidal effect of soybean mosaic virus at this time. In order to avoid affecting the activity of soybean seeds, the heat treatment temperature should be reduced at this time; conversely, the smaller the cumulative bactericidal effect characteristics, the worse the bactericidal effect of soybean mosaic virus at this time. In order to improve the adequacy of sterilization of soybean mosaic virus in imported soybean grains, the heat treatment temperature should be increased at this time.

[0067] Based on the above analysis, the feedback temperature for controlling and adjusting the heat treatment temperature at the current moment is calculated. The specific calculation method is:

[0068] H = 1-exp(-Sc), where H is the cumulative bactericidal effect at the current moment, Sc is the cumulative sum of the bactericidal effectiveness at all sampling moments before the current moment, and exp() is an exponential function with a natural constant as the base.

[0069] The smaller the cumulative sum of the bactericidal effectiveness at all times before the current moment is, the worse the bactericidal effect on soybean mosaic virus at the current moment is, and the smaller the cumulative bactericidal effect at the current moment is.

[0070] CV=CT+(Hg-H)×L, where CV is the feedback temperature for controlling and adjusting the heat treatment temperature at the current moment, CT is the heat treatment temperature at the current moment during the heat treatment process, Hg is the preset threshold value, in this embodiment, the preset threshold value is 0.86, and L is the preset temperature adjustment size during the heat treatment process. In this embodiment, the preset temperature adjustment size is 10. The preset threshold value and the preset temperature adjustment size can be set by the implementer according to the actual situation, and this embodiment does not limit it here. The feedback temperature construction flow chart is as follows Figure 5 shown.

[0071] If the cumulative bactericidal effect degree at the current moment is smaller and it is less than the preset threshold, it means to a certain extent that the effect of sterilizing soybean mosaic virus is worse. In order to improve the adequacy of sterilizing soybean mosaic virus in imported soybean grains, the heat treatment temperature should be increased, that is, the higher the feedback temperature of the control adjustment; conversely, the larger the cumulative bactericidal effect degree is and it is greater than the preset threshold, it means to a certain extent that the adequacy of sterilizing soybean mosaic virus in imported soybean grains is better. In order to avoid affecting the activity of soybean seeds, the heat treatment temperature should be reduced, that is, the smaller the feedback temperature of the control adjustment is.

[0072] In order to accurately control the heat treatment temperature, the feedback temperature and the actual heat treatment temperature corresponding to the current moment are input into the PID controller, and the PID controller adjusts the heat treatment temperature by calculating the actual error between the feedback temperature and the actual heat treatment temperature. The output of the PID controller is a control signal of the heat treatment temperature. Based on the control signal of the heat treatment temperature, the temperature of the heat treatment of the pathogen is controlled so that the heat treatment temperature is close to the feedback temperature controlled and adjusted, thereby realizing the temperature control of the heat treatment process of soybean mosaic virus in the imported soybean grain. It should be noted that the PID controller is an existing well-known technology, and the specific process will not be repeated.

[0073] Based on the same inventive concept as the above method, an embodiment of the present application also provides a temperature control system for thermal treatment of pathogens, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned temperature control methods for thermal treatment of pathogens are implemented.

[0074] It should be noted that the above sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above is a description of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0075] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0076] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application should be included in the protection scope of the present application.

Claims

1. A temperature control method for heat treatment of pathogens, characterized in that: The method comprises the following steps: Collect the ambient temperature and humidity at each time in the pathogen heat treatment environment; Analyze the correlation between the ambient temperature and the ambient humidity at each time and its adjacent time, and the distribution of the correlation between each time and its adjacent time, to determine the impact of the survival state of the pathogen carrier at each time; determine the activity inhibition characteristic value of the pathogen at each time based on the difference between the ambient temperature at each time and the preset virus inhibition temperature; Determine the suitability of the heat treatment temperature at each moment by combining the survival state influence and the activity inhibition characteristic value; Analyze the difference between the activity inhibition characteristic value at each moment and its adjacent moments and the set bactericidal action threshold, and determine the bactericidal effectiveness at each moment by combining the suitability of the heat treatment temperature; Based on the sterilization effectiveness at all times before the current moment, the cumulative sterilization effect degree at the current moment is determined; based on the difference between the cumulative sterilization effect degree and the preset threshold value, combined with the heat treatment temperature at the current moment and the preset temperature adjustment size, the feedback temperature at the current moment is obtained to control the temperature of the heat treatment of the pathogen.

2. A temperature control method for pathogen heat treatment according to claim 1, characterized in that: The construction of the survival status influence degree includes: The ambient temperature and ambient humidity at each moment and its adjacent moments are respectively combined into an adjacent temperature sequence and an adjacent humidity sequence at each moment; the correlation between the adjacent temperature sequence and the adjacent humidity sequence at each moment is calculated, thereby obtaining a heat treatment steady-state value, wherein the heat treatment steady-state value is negatively correlated with the correlation; The survival state influence degree is obtained based on the discrete degree of the thermal treatment steady-state value at each moment and its adjacent moments and in combination with the thermal treatment steady-state value at each moment.

3. A temperature control method for heat treatment of pathogens as claimed in claim 2, characterized in that: The survival state influence degree is the ratio of the discrete degree to the thermal treatment steady-state value at the corresponding moment.

4. A temperature control method for pathogen heat treatment according to claim 1, characterized in that: The activity inhibition characteristic value is a normalized result of the difference between the ambient temperature at each moment and the preset virus inhibition temperature.

5. A temperature control method for heat treatment of pathogens according to claim 1, characterized in that: The heat treatment temperature suitability is the ratio of the activity inhibition characteristic value to the survival state influence at each moment.

6. A temperature control method for heat treatment of pathogens according to claim 1, characterized in that: The determination of the bactericidal effectiveness includes: The normalized value of the sum of the differences between the activity inhibition characteristic value at each moment and its adjacent moments and the bactericidal threshold is calculated, and the bactericidal effectiveness is the product of the normalized value at each moment and the suitability of the heat treatment temperature.

7. A temperature control method for pathogen heat treatment according to claim 1, characterized in that: The cumulative bactericidal effect is calculated as follows: H = 1-exp(-Sc); wherein H is the cumulative bactericidal effect at the current moment, Sc is the cumulative sum of the bactericidal effectiveness at all moments before the current moment, and exp() is an exponential function with a natural constant as the base.

8. A temperature control method for heat treatment of pathogens as claimed in claim 1, characterized in that: The determination of the feedback temperature includes: The difference between the preset threshold and the current cumulative sterilization effect degree is calculated, the product of the difference and the temperature adjustment size is calculated, and the sum of the product and the heat treatment temperature at the current moment is used as the feedback temperature.

9. A temperature control method for heat treatment of pathogens according to claim 1, characterized in that: The controlling of the temperature of the heat treatment comprises: Based on the heat treatment temperature and feedback temperature at the current moment, a temperature control signal for heat treatment of pathogens is obtained.

10. A temperature control system for heat treatment of pathogens, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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