CN119165904B - Temperature control method and system for heat treatment of pathogen - Google Patents
Temperature control method and system for heat treatment of pathogen Download PDFInfo
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 172
- 238000000034 method Methods 0.000 title claims abstract description 66
- 244000052769 pathogen Species 0.000 title claims abstract description 58
- 230000001717 pathogenic effect Effects 0.000 title claims abstract description 58
- 230000000694 effects Effects 0.000 claims abstract description 65
- 230000001954 sterilising effect Effects 0.000 claims abstract description 57
- 238000004659 sterilization and disinfection Methods 0.000 claims abstract description 49
- 230000005764 inhibitory process Effects 0.000 claims abstract description 36
- 230000004083 survival effect Effects 0.000 claims abstract description 29
- 241000700605 Viruses Species 0.000 claims description 17
- 230000001186 cumulative effect Effects 0.000 claims description 10
- 230000006870 function Effects 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 6
- 239000006185 dispersion Substances 0.000 claims description 5
- 230000033228 biological regulation Effects 0.000 claims description 3
- 230000009471 action Effects 0.000 claims description 2
- 230000001105 regulatory effect Effects 0.000 abstract description 5
- 235000013339 cereals Nutrition 0.000 description 48
- 244000068988 Glycine max Species 0.000 description 41
- 235000010469 Glycine max Nutrition 0.000 description 41
- 230000008569 process Effects 0.000 description 33
- 241000723811 Soybean mosaic virus Species 0.000 description 28
- 238000005070 sampling Methods 0.000 description 20
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- 230000000844 anti-bacterial effect Effects 0.000 description 7
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- 235000002017 Zea mays subsp mays Nutrition 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 4
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- 235000016383 Zea mays subsp huehuetenangensis Nutrition 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 230000002779 inactivation Effects 0.000 description 3
- 230000002401 inhibitory effect Effects 0.000 description 3
- 235000009973 maize Nutrition 0.000 description 3
- 241000209140 Triticum Species 0.000 description 2
- 235000021307 Triticum Nutrition 0.000 description 2
- 239000000969 carrier Substances 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000002349 favourable effect Effects 0.000 description 2
- 238000003753 real-time PCR Methods 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 241000233866 Fungi Species 0.000 description 1
- 241000710118 Maize chlorotic mottle virus Species 0.000 description 1
- 241000040340 Oat mosaic virus Species 0.000 description 1
- 241000233654 Oomycetes Species 0.000 description 1
- 241001429320 Wheat streak mosaic virus Species 0.000 description 1
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 description 1
- 230000001580 bacterial effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000005822 corn Nutrition 0.000 description 1
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- 230000018109 developmental process Effects 0.000 description 1
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- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/20—Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
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- A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
- A23L—FOODS, FOODSTUFFS OR NON-ALCOHOLIC BEVERAGES, NOT OTHERWISE PROVIDED FOR; PREPARATION OR TREATMENT THEREOF
- A23L5/00—Preparation or treatment of foods or foodstuffs, in general; Food or foodstuffs obtained thereby; Materials therefor
- A23L5/20—Removal of unwanted matter, e.g. deodorisation or detoxification
- A23L5/21—Removal of unwanted matter, e.g. deodorisation or detoxification by heating without chemical treatment, e.g. steam treatment, cooking
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Abstract
The application relates to the technical field of temperature control, in particular to a temperature control method and a temperature control system for heat treatment of a pathogen, wherein the method comprises the steps of collecting the ambient temperature and the ambient humidity at each moment in the heat treatment environment of the pathogen; determining a heat treatment steady state value of a heat treatment environment at each moment, determining the influence degree of the survival state of pathogen carrying objects at each moment, acquiring an activity inhibition characteristic value of the pathogen carrying objects at each moment, obtaining the suitability of heat treatment temperature at each moment, determining the sterilization effectiveness at each moment, determining the accumulated sterilization effectiveness at the current moment, based on the difference between the accumulated sterilization effectiveness and a preset threshold, combining the heat treatment temperature at the current moment and the preset temperature, regulating the size to obtain the feedback temperature at the current moment, and combining a PID controller to control the heat treatment temperature of the pathogen. Thereby improving the accuracy of temperature control of the pathogen heat treatment.
Description
Technical Field
The application relates to the technical field of temperature control, in particular to a temperature control method and a temperature control system for heat treatment of a pathogen.
Background
In the process of cross-border flowing of the entering grain, the entering grain is easy to carry with the pathogen, so that the entering grain is hidden in the risk of spreading plant diseases, and even serious agricultural disease outbreaks can be possibly caused. Therefore, the detection and killing of the potential pathogenic microorganisms in the entering grains can provide important safety guarantee for the planting of the entering grains.
In the present stage, the heat treatment method is mainly adopted to kill pathogenic microorganisms in the entering grains, but in the process of heat treatment of pathogenic matters in the entering grains, the sterilization effect of the heat treatment of the pathogenic matters is difficult to improve, and meanwhile, the activity of the entering grains is not influenced, so that the accuracy of the heat treatment temperature control is lower.
Disclosure of Invention
In order to solve the technical problems, the application aims to provide a temperature control method and a temperature control system for heat treatment of a pathogen, and the adopted technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a temperature control method for heat treatment of a pathogen, including the steps of:
Collecting the ambient temperature and ambient humidity at each moment in the heat treatment environment of the pathogen;
analyzing the correlation between the ambient temperature and the ambient humidity at each moment and the adjacent moment and the distribution of the correlation between each moment and the adjacent moment to determine the influence degree of the survival state of the pathogen carried in each moment;
Analyzing the difference between the activity inhibition characteristic value and the set sterilization threshold value at each moment and the adjacent moment, and determining the sterilization effectiveness at each moment by combining the heat treatment temperature suitability;
Based on the difference between the accumulated sterilization effect degree and a preset threshold value, the temperature of the heat treatment at the current moment and the preset temperature are combined to adjust the size, so that the feedback temperature at the current moment is obtained, and the temperature of the heat treatment of the pathogen is controlled.
In one embodiment, the constructing of the effect of the survival state includes:
Calculating the correlation between the adjacent temperature sequence and the adjacent humidity sequence at each moment so as to obtain a heat treatment steady-state value, wherein the heat treatment steady-state value and the correlation form a negative correlation;
And based on the dispersion degree of the heat treatment steady-state values at each moment and the adjacent moment, combining the heat treatment steady-state values at each moment to obtain the influence degree of the survival state.
In one embodiment, the degree of influence of the survival state is a ratio of the degree of dispersion to a steady state value of the heat treatment at the corresponding moment.
In one embodiment, the activity-inhibiting characteristic value is a normalized result of a difference between an ambient temperature and a preset virus-inhibiting temperature at each time.
In one embodiment, the suitability of the heat treatment temperature is a ratio of the activity inhibition characteristic value to the influence degree of the survival state at each time.
In one embodiment, the determining of the sterilization effectiveness includes:
And calculating a normalized value of a sum of differences between the activity inhibition characteristic value and the sterilization action threshold value at each time and adjacent time, wherein the sterilization effectiveness degree is a product of the normalized value at each time and the heat treatment temperature suitability degree.
In one embodiment, the accumulated sterilization effect is calculated by the method that H=1-exp (-Sc), wherein H is the accumulated sterilization effect at the current moment, sc is the accumulated sum of sterilization effect at all moments before the current moment, exp () is an exponential function based on a natural constant.
In one embodiment, the determining of the feedback temperature includes:
And calculating a difference value between a preset threshold value and the accumulated sterilization effect degree at the current moment, calculating a product of the difference value and the temperature regulation, and taking the sum of the product and the heat treatment temperature at the current moment as the feedback temperature.
In one embodiment, the controlling the temperature of the heat treatment includes:
and acquiring a temperature control signal of the heat treatment of the pathogen based on the heat treatment temperature at the current moment and the feedback temperature.
In a second aspect, an embodiment of the present application further provides a temperature control system for heat treatment of a pathogen, including a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor implements the steps of any one of the methods described above when the processor executes the computer program.
The application has at least the following beneficial effects:
The method comprises the steps of collecting the ambient temperature and the ambient humidity of each moment in a pathogen heat treatment environment, analyzing the correlation between the ambient temperature and the ambient humidity of each moment and the adjacent moment, determining the heat treatment steady state value of the heat treatment environment at each moment, wherein the heat treatment steady state value reflects the correlation degree of the ambient temperature and the ambient humidity in the heat treatment process, further reflecting the influence degree of the heat treatment environment on the activity of pathogen carriers at the moment, improving the rationality of the temperature control of pathogen heat treatment, analyzing the discrete degree of the heat treatment steady state value at each moment and the adjacent moment, combining the heat treatment steady state value at each moment, determining the influence degree of the survival state influence of the heat treatment environment on the survival state of pathogen carriers at each moment, determining the activity inhibition characteristic value of the pathogen at each moment based on the difference between the ambient temperature at each moment and the preset virus inhibition temperature, further reflecting the inhibition effect of the heat treatment environment on the pathogen at each moment, improving the reliability of the temperature control of the pathogen, combining the influence of the state and the activity characteristic value at the moment, analyzing the heat treatment steady state influence degree of the survival state on the heat treatment steady state value at each moment, determining the survival state influence degree of the pathogen carrier at each moment, and the activity inhibition characteristic value at the moment, and the heat inhibition value at the time being suitable for the heat sterilization based on the difference, and the heat inhibition characteristic value at the time, and the time being suitable for the sterilization, based on the difference between the accumulated sterilization effect and a preset threshold value, the feedback temperature at the current moment is obtained by combining the heat treatment temperature at the current moment and the preset temperature regulation, and the PID controller is combined to control the temperature of the pathogen heat treatment, so that the problem of poor sterilization effect caused by low accuracy of temperature control of the pathogen heat treatment is avoided, and the accuracy of temperature control of the pathogen heat treatment and the sterilization effect of the pathogen heat treatment are improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of a temperature control method for heat treatment of a pathogen according to one embodiment of the present application;
FIG. 2 is a schematic diagram showing a strong correlation between temperature and humidity;
FIG. 3 is a schematic diagram showing weak correlation between temperature and humidity;
FIG. 4 is a graph showing the segmentation of the activity-suppressing feature values;
fig. 5 is a feedback temperature build flow chart.
Detailed Description
In order to further describe the technical means and effects adopted by the application to achieve the preset aim, the following is a detailed description of specific implementation, structure, characteristics and effects of a temperature control method and system for heat treatment of a pathogen according to the application with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
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.
The application provides a temperature control method and a specific scheme of a temperature control system for heat treatment of a pathogen, which are specifically described below with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a temperature control method for heat treatment of a pathogen according to an embodiment of the application is shown, and the method includes the following steps:
s1, collecting the ambient temperature and the ambient humidity at each moment in the heat treatment environment of the pathogen.
Pathogenic matters such as bacteria, fungi, oomycetes and viruses are easy to carry in the entering grains, and the pathogenic matters can be transmitted along with seeds, so that great influence can be brought to the ecological environment and economic development of planting lands. For example, the imported corn is liable to contain pathogenic microorganisms such as maize chlorotic mottle virus, maize bacterial wilt, maize wilt and maize inner state wilt, the imported wheat is liable to contain pathogenic microorganisms such as wheat dwarf smut, wheat streak mosaic virus and oat mosaic virus, and the imported soybean is liable to contain pathogenic microorganisms such as soybean mosaic virus. In order to ensure the safety of the planting of the entering grains, the entering grains are required to be subjected to pathogen heat treatment so as to effectively remove potential pathogen in the entering grains, and further the safety of the planting of the entering grains is effectively ensured.
In order to perform pathogen heat treatment on incoming grains, the embodiment adopts a fluorescence quantitative PCR detection technology to detect pathogens on incoming grain samples imported from N batches, and identifies the corresponding batch containing the pathogens, wherein the fluorescence quantitative PCR detection is a prior known technology, the specific process is not repeated, in the embodiment, n=10, and an implementer can set the device according to the actual situation, and the embodiment is not limited herein.
In order to improve the sterilization effect of heat treatment on pathogens in the incoming grains, the temperature in the heat treatment process needs to be controlled and optimized, in the process of heat treatment on pathogens in the incoming grains, the temperature sensor and the humidity sensor are used for collecting the ambient temperature and the ambient humidity at each moment of the incoming grains, in the embodiment, the sampling rate is 10Hz, the sampling time is 5min, and an implementer can set the temperature according to the actual situation, so that the embodiment is not limited.
S2, analyzing the correlation between the ambient temperature and the ambient humidity at each moment and the adjacent moment, determining the heat treatment steady state value of the heat treatment environment at each moment, analyzing the discrete degree of the heat treatment steady state value at each moment and the adjacent moment, combining the heat treatment steady state values at each moment, determining the influence degree of the survival state of pathogen carrying matters at each moment, and determining the activity inhibition characteristic value of the pathogen carrying matters at each moment based on the difference between the ambient temperature and the preset virus inhibition temperature at each moment.
In this example, an incoming soybean grain carrying soybean mosaic virus is taken as an example for analysis, and the soybean mosaic virus carried by the incoming soybean grain is a virus extremely sensitive to temperature, and related researches indicate that the virus is suitable for transmission at 25-26 ℃, and the virus is inhibited when the transmission exceeds 30 ℃, and the structure of the virus is easily damaged when the transmission exceeds 50 ℃, so that the virus is inactivated. However, in the process of heat treatment of the incoming soybean grains, it is necessary to avoid the influence on the activity of the incoming soybean grains, which serve as soybean seeds, and the inactivation condition thereof is influenced by the correlation between temperature and humidity. In order to avoid the influence of higher temperature on the activity of soybean seeds, analysis of the correlation characteristics between temperature and humidity is required.
Under normal conditions, if the correlation between the environmental temperature change and the environmental humidity change of the soybean grains entering the heat treatment process is low, the correlation between the temperature and the humidity in the heat treatment environment is reflected to be small, which means that the influence of the heat treatment environment on the survival of soybean seeds is small to a certain extent, and the abrupt change of the temperature in the environment can cause the abrupt change of the environmental humidity, at this time, the correlation between the temperature and the humidity is high, i.e. the correlation between the temperature and the humidity in the heat treatment environment is large, at this time, the heat treatment environment easily affects the survival of the soybean seeds.
In order to identify the steady-state characteristics of the heat treatment environment at different sampling moments, a set formed by M sampling moments closest to the time interval between each sampling moment is recorded as an adjacent sampling set of each sampling moment, wherein m=30 in the embodiment, an implementer can set the set according to the actual situation, and the embodiment is not limited herein.
The sequence of the ambient temperature and the ambient humidity at each time and all sampling times in adjacent sampling sets are respectively used as an adjacent temperature sequence and an adjacent humidity sequence of each sampling time according to the sequence of time, the adjacent temperature sequence and the adjacent humidity sequence reflect the temperature and humidity change of the heat treatment environment in local time, when the correlation between the temperature and the humidity is stronger, the mutual influence relationship between the temperature and the humidity in the heat treatment environment is larger, the steady-state characteristic of the heat treatment environment is smaller, the influence of the temperature and the humidity on the survival of soybean seeds is larger, the specific strong correlation between the temperature and the humidity is shown in a schematic diagram in fig. 2, and conversely, when the correlation between the temperature and the humidity is weaker, the mutual influence relationship between the temperature and the humidity in the heat treatment environment is smaller, the steady-state characteristic of the heat treatment environment is larger, the influence of the temperature and the survival of the soybean seeds is smaller, and the specific weak correlation between the temperature and the humidity is shown in a schematic diagram in fig. 3.
Based on the above analysis, the heat treatment steady-state value of the heat treatment environment at each sampling time in the heat treatment process is calculated, and the calculation method in this embodiment may be:
D t＝exp(-|corr(Ct,Vt) and/or the like), wherein D t is a heat treatment steady-state value of the heat treatment environment at time t, exp () is an exponential function based on a natural constant, corr () is a pearson correlation coefficient function, C t and V t are an adjacent temperature sequence and an adjacent humidity sequence at time t, respectively, and corr (C t,Vt) is a pearson correlation coefficient between the adjacent temperature sequence C t and the adjacent humidity sequence V t.
In another embodiment, the heat treatment steady state value of the heat treatment environment at each moment may be calculated by:
D t＝Norm(-|Cs(Ct,Vt) and the like), wherein D t is a heat treatment steady-state value of the heat treatment environment at time t, norm () is a normalization function, C t and V t are an adjacent temperature sequence and an adjacent humidity sequence at time t, respectively, and Cs (C t,Vt) is a cosine similarity between the adjacent temperature sequence C t and the adjacent humidity sequence V t.
The calculation of the pearson correlation coefficient and the cosine similarity are all known techniques, and specific processes are not described in detail.
The larger absolute value of the pearson correlation coefficient is, the larger the mutual influence relation between the temperature and the humidity is when the pathogen in the entering soybean grain is subjected to heat treatment is, the more unfavorable the steady state characteristic of the heat treatment environment is maintained, the smaller the heat treatment steady state value is, namely the more the mutual influence between the temperature and the humidity in the heat treatment environment is likely to influence the activity of soybean seeds.
In general, because there is a certain limitation on tolerance of the incoming soybean grains, in the process of heat treatment of the incoming soybean grains, stability of a temperature and humidity state in local time needs to be ensured, and the worse the stability of the temperature and humidity state in local time is, namely, the larger the unstable fluctuation change of the heat treatment steady state characteristic in local time is, the smaller the heat treatment steady state value in the heat treatment environment of the incoming soybean grains is, and the survival state of soybean seeds is more easily affected at this time.
Based on the analysis, the influence of the survival state of the soybean grains entering at each sampling moment in the heat treatment process is calculated, and the specific calculation mode is as follows:
R t＝Pt/Dt, wherein R t is influence of survival state of soybean grains entering at t moment, P t is dispersion degree of heat treatment steady state values corresponding to all moments in adjacent sampling sets at t moment, and D t is heat treatment steady state value of heat treatment environment at t moment.
In this embodiment, the discrete degree adopts a calculation manner of information entropy, the calculation of information entropy is a known technique, a specific process is not described in detail, and in other embodiments, a manner of variance, standard deviation, and the like may be adopted as a calculation manner of the discrete degree. When the information entropy is larger and the heat treatment steady-state value is smaller at the time t, the mutual influence relationship between the temperature and the humidity is larger when the heat treatment is carried out on the incoming soybean grains, namely the unstable fluctuation change of the heat treatment steady-state characteristic in local time is larger, and meanwhile, the worse the steady state of the temperature and the humidity in the heat treatment environment is, the more likely to influence the survival state of the incoming soybean grains, and the influence degree of the survival state is larger.
In order to control and optimize the temperature in the heat treatment process, the effect of sterilizing the soybean mosaic virus in the entering soybean grains is considered while the influence on the survival state of the entering soybean grains is considered. In order to analyze the virus inactivation characteristics of the soybean mosaic virus in the incoming soybean grain, the normalization result of the difference between the ambient temperature at each sampling time and the preset virus inhibition temperature is recorded as the activity inhibition characteristic value of the soybean mosaic virus in the incoming soybean grain at each sampling time, in the embodiment, the preset virus inhibition temperature is 30 ℃, and in the process of carrying out heat treatment on the soybean mosaic virus in the incoming soybean grain, the greater the normalization result of the difference between the actual temperature and the virus inhibition temperature in the heat treatment environment is, the greater the inhibition effect on the soybean mosaic virus activity is, and the greater the activity inhibition characteristic value is. The heat treatment temperature was higher than 30 ℃, and the virus inhibition temperature was set to 30 ℃ in this example, since the inhibition and sterilization of soybean mosaic virus were started.
In this embodiment, all the remaining normalization results except the normalization mode are obtained by using a Sigmoid function, and an operator may select other available normalization methods according to actual situations, which is not limited in this embodiment.
S3, combining the influence degree of the survival state and the activity inhibition characteristic value to determine the suitability of the heat treatment temperature at each moment, acquiring the segmentation threshold value of the activity inhibition characteristic value at all moments and marking the segmentation threshold value as a sterilization function threshold value, analyzing the difference between the activity inhibition characteristic value at each moment and the adjacent moment and the sterilization function threshold value, and combining the suitability of the heat treatment temperature to determine the sterilization effectiveness at each moment.
In general, in the process of heat treatment of soybean mosaic virus of incoming soybean grains, the smaller the influence of the change of heat treatment temperature on the survival of the incoming soybean grains is, the larger the inhibition effect on the activity of the soybean mosaic virus is, the higher the suitability of the heat treatment temperature is, and the more favorable the sterilization of soybean mosaic virus in the incoming soybean grains is. Meanwhile, as the activity inhibition characteristic value is increased, when the activity inhibition characteristic value is higher than a certain level, the damage to the soybean mosaic virus is more likely to occur, so that the virus is inactivated, and the sterilization effect of heat treatment can be reflected at the moment.
In order to measure the value range in which the activity inhibition characteristic value can reach virus inactivation in the heat treatment process, so as to better measure the bactericidal effect in the heat treatment process, the activity inhibition characteristic value corresponding to all sampling moments before the current moment is used as the input of the maximum inter-class variance algorithm, the output segmentation threshold is used as the bactericidal effect threshold in the heat treatment process, the maximum inter-class variance algorithm is a known technology, a specific process is not repeated, and an implementer can select other feasible threshold segmentation algorithms according to actual conditions, and the embodiment is not limited herein. A schematic representation of the segmentation of the activity-inhibiting feature values is shown in FIG. 4.
Based on the analysis, the sterilization effectiveness of each sampling moment in the heat treatment process is calculated by the following specific calculation modes:
Wherein G t＝ft/Rt and G t are the suitability of the heat treatment temperature at the time t in the heat treatment process, f t is the activity inhibition characteristic value of soybean mosaic virus in the entering soybean grain at the time t, and R t is the influence of the survival state of the entering soybean grain at the time t.
The suitability of the heat treatment temperature reflects the suitability of the temperature in the heat treatment process of the soybean mosaic virus in the inbound soybean grain, namely the greater the suitability of the heat treatment temperature, the higher the suitability of the temperature in the heat treatment process of the soybean mosaic virus in the inbound soybean grain.
Wherein S t is sterilization effectiveness at time t in the heat treatment process, norm () is a normalization function, M is the number of all times in the adjacent sampling set at time t, F t,i is an activity inhibition characteristic value corresponding to the i-th time in the adjacent sampling set at time t, F is a sterilization threshold in the heat treatment process, and G t is heat treatment temperature suitability at time t in the heat treatment process.
When the activity inhibition characteristic value is higher than the sterilization threshold value, the sterilization effect of the heat treatment process on the soybean mosaic virus is stronger, and meanwhile, the suitability of the heat treatment temperature is higher, so that the soybean mosaic virus is more favorable for sterilization treatment, namely, the more effective the soybean mosaic virus in the entering soybean grains is sterilized, the greater the sterilization effectiveness is.
And S4, determining the accumulated sterilization effect degree of the current moment based on the sterilization effect degrees of all the moments before the current moment, and controlling the temperature of the pathogen heat treatment by combining the heat treatment temperature of the current moment and the preset temperature adjustment based on the difference between the accumulated sterilization effect degree and the preset threshold value and combining a PID controller.
In order to accurately control the heat treatment temperature, the cumulative bactericidal effect characteristic of the soybean mosaic virus at the current moment needs to be analyzed, the larger the cumulative bactericidal effect characteristic is, the better the bactericidal effect of the soybean mosaic virus is, the heat treatment temperature is required to be reduced in order to avoid the influence on the activity of soybean seeds, and conversely, the smaller the cumulative bactericidal effect characteristic is, the worse the bactericidal effect of the soybean mosaic virus is, and the sufficiency of the soybean mosaic virus in the imported soybean grains is improved, and the heat treatment temperature is required to be increased.
Based on the analysis, the feedback temperature for controlling and adjusting the heat treatment temperature at the current moment is calculated, and the specific calculation mode is as follows:
h=1-exp (-Sc), where H is the cumulative sterilization effectiveness at the current time, sc is the cumulative sum of sterilization effectiveness at all sampling times before the current time, exp () is an exponential function based on a natural constant.
The smaller the sum of the sterilization effectiveness of all the moments before the current moment is, the worse the effect of sterilizing the soybean mosaic virus at the current moment is, the smaller the accumulated sterilization effectiveness at the current moment is.
Cv=ct+ (Hg-H) ×l, where CV is a feedback temperature for controlling and adjusting the heat treatment temperature at the current time, CT is the heat treatment temperature at the current time in the heat treatment process, hg is a preset threshold, in this embodiment, the preset threshold is 0.86, L is a preset temperature adjustment size in the heat treatment process, in this embodiment, the preset temperature adjustment size is 10, and both the preset threshold and the preset temperature adjustment size implementer can be set by themselves according to the actual situation, which is not limited in this embodiment. The feedback temperature build flow chart is shown in fig. 5.
If the cumulative sterilization effect is smaller and smaller than the preset threshold value at the current moment, the effect of sterilizing the soybean mosaic virus is poorer to a certain extent, in order to improve the sufficiency of sterilizing the soybean mosaic virus in the entering soybean grain, the heat treatment temperature is regulated to be higher, namely the feedback temperature controlled to be regulated is higher, otherwise, the cumulative sterilization effect is larger and larger than the preset threshold value, the effect of sterilizing the soybean mosaic virus in the entering soybean grain is better to a certain extent, and in order to avoid the influence on the activity of soybean seeds, the heat treatment temperature is regulated to be smaller, namely the feedback temperature controlled to be regulated is smaller.
In order to accurately control the heat treatment temperature, the feedback temperature corresponding to the current moment and the actual heat treatment temperature are input into a PID controller, 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, the temperature of pathogen heat treatment is controlled based on the control signal of the heat treatment temperature, and the heat treatment temperature is close to the feedback temperature which is controlled and adjusted, so that the temperature control of the heat treatment process of soybean mosaic virus in the entering soybean grains is realized. It should be noted that the PID controller is a known technology, and the specific process is not described again.
Based on the same inventive concept as the above method, the embodiment of the application further provides a temperature control system for heat treatment of a pathogen, which comprises a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to realize the steps of any one of the above temperature control methods for heat treatment of the pathogen.
It should be noted that the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
The foregoing description of the preferred embodiments of the present application is not intended to be limiting, but rather, any modifications, equivalents, improvements, etc. that fall within the principles of the present application are intended to be included within the scope of the present application.
Claims (10)
1. The temperature control method for the heat treatment of the pathogen is characterized by comprising the following steps of:
Collecting the ambient temperature and ambient humidity at each moment in the heat treatment environment of the pathogen;
analyzing the correlation between the ambient temperature and the ambient humidity at each moment and the adjacent moment and the distribution of the correlation between each moment and the adjacent moment to determine the influence degree of the survival state of the pathogen carried in each moment;
Analyzing the difference between the activity inhibition characteristic value and the set sterilization threshold value at each moment and the adjacent moment, and determining the sterilization effectiveness at each moment by combining the heat treatment temperature suitability;
Based on the difference between the accumulated sterilization effect degree and a preset threshold value, the temperature of the heat treatment at the current moment and the preset temperature are combined to adjust the size, so that the feedback temperature at the current moment is obtained, and the temperature of the heat treatment of the pathogen is controlled.
2. The method of claim 1, wherein the constructing the effect of the survival state comprises:
Calculating the correlation between the adjacent temperature sequence and the adjacent humidity sequence at each moment so as to obtain a heat treatment steady-state value, wherein the heat treatment steady-state value and the correlation form a negative correlation;
And based on the dispersion degree of the heat treatment steady-state values at each moment and the adjacent moment, combining the heat treatment steady-state values at each moment to obtain the influence degree of the survival state.
3. A method of controlling temperature for heat treatment of a pathogen according to claim 2, wherein the degree of influence of the survival state is a ratio of the degree of dispersion to a steady state value of heat treatment at a corresponding time.
4. The method of claim 1, wherein the activity inhibition characteristic value is a normalized result of a difference between an ambient temperature and a preset virus inhibition temperature at each time.
5. The method of claim 1, wherein the suitability of the heat treatment temperature is a ratio of an activity inhibition characteristic value to a survival state influence degree at each time.
6. An orientation according to claim 1a temperature control method for heat treatment of a pathogen, the method is characterized in that the determination of the sterilization effectiveness degree comprises the following steps:
And calculating a normalized value of a sum of differences between the activity inhibition characteristic value and the sterilization action threshold value at each time and adjacent time, wherein the sterilization effectiveness degree is a product of the normalized value at each time and the heat treatment temperature suitability degree.
7. The method of claim 1, wherein the cumulative sterilizing effect is calculated by H=1-exp (-Sc), where H is the cumulative sterilizing effect at the current time, sc is the cumulative sum of sterilizing effects at all times before the current time, exp () is an exponential function based on a natural constant.
8. An orientation according to claim 1 a temperature control method for heat treatment of a pathogen, wherein the determining of the feedback temperature comprises:
And calculating a difference value between a preset threshold value and the accumulated sterilization effect degree at the current moment, calculating a product of the difference value and the temperature regulation, and taking the sum of the product and the heat treatment temperature at the current moment as the feedback temperature.
9. An orientation according to claim 1 a temperature control method for heat treatment of a pathogen, the method is characterized in that the temperature of the heat treatment is controlled, and the method comprises the following steps:
and acquiring a temperature control signal of the heat treatment of the pathogen based on the heat treatment temperature at the current moment and the feedback temperature.
10. A temperature control system for heat treatment of a pathogen comprising a memory, a processor and a computer program stored in the memory and running on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1-9 when executing the computer program.
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| CN109602937A (en) * | 2018-12-07 | 2019-04-12 | 北京欣迪康泰科技有限公司 | A method of killing pathogenic microorganism in enclosed environment |
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