Grain storage safety pre-judgment method based on microbial field coupling strength

Abstract

The invention discloses a grain storage safety pre-judgment method based on microbial field coupling strength, and the method comprises the steps: constructing a microbial field coupling strength equation, and variables of the microbial field coupling strength equation comprise grain storage physical factors; multiple pieces of sample data are obtained, the sample data are time values of inflection points of the storage samples in the set physical factors, the inflection points change from the incubation period to the coupling period, and the grain storage physical factors set by the multiple pieces of sample data are different; taking the reciprocal of the time value contained in the sample data as the coupling strength of the microbial field, and fitting according to the time value contained in the sample data and a set grain storage physical factor to obtain a polynomial coefficient in a coupling strength equation of the microbial field so as to obtain a coupling strength function of the microbial field; and substituting the physical factors of the to-be-determined stored grain into the microbial field coupling strength function to obtain the microbial field coupling strength of the to-be-determined stored grain, and determining the safety level of the to-be-determined stored grain according to the microbial field coupling strength of the to-be-determined stored grain.

Description

Technical Field

[0001] The present invention relates to the field of grain storage safety theory and engineering control, and more specifically, to a grain storage safety prediction method based on microbial field coupling intensity. Background Art

[0002] With the development of grain storage technology, the prediction of grain storage safety has gradually shifted from relying on experience to models. However, when establishing a model, it is necessary to set assumptions, boundary conditions and initial conditions. For example, if the grain is assumed to be identical and ideal, the individual differences and anisotropy of the grain will be ignored, which affects its accuracy.

[0003] The grain pile ecosystem theory was formed in the 1970s, and it mainly includes the natural environment subsystem, the grain pile ecological subsystem, and warehouse facilities. Among them, temperature and moisture content are the most critical factors for safe grain storage, and they need to be reasonably controlled to delay the growth of mold and insects. Fuji Jian et al. studied the temperature fluctuations and moisture migration patterns of wheat stored in silos for 15 months in Canada. Marek found that environmental temperature and humidity have an impact on the temperature and moisture changes of corn in different types of warehouses during storage. Robert used the basic laws of equilibrium thermodynamics and mass transfer equations to establish a temperature field and moisture concentration distribution model in the porous medium of the grain pile. Lawrence constructed a three-dimensional transient heat, mass and momentum transfer model for the grain storage ecosystem, which can predict the temperature and moisture content of grain, dry matter loss and the number of pests. Francis's research shows that biological activity in grain piles depends on the moisture content of grain. By early detection of changes in the respiration of grain and its internal mold, the growth of mold in stored grain can be predicted.

[0004] Chinese scholars have created a grain pile multi-field coupling theory based on the grain storage ecosystem, which includes physical field research, biological field research, and multi-field coupling research. Among them, the physical field research is based on the principles of conservation of energy, momentum and mass in the grain pile, establishes differential equations, and simulates and explores the distribution and change laws of the temperature and humidity field of the grain pile to judge the grain storage state. For example, Yin Jun et al. used software to simulate the distribution and change of the temperature and humidity field of the grain pile under different states to predict whether the grain pile condenses or not. Wang Yuancheng et al. constructed a mathematical model of heat and humidity coupling transfer inside the grain pile under ventilation conditions, and explored the internal mechanism of heat and humidity regulation in the grain storage ecosystem. The biological field research mainly explores the influence of biological factors in the grain pile on the state of grain storage. Wu Zidan defined the concept of biological field and proposed a quantitative model, thereby describing the spatiotemporal distribution and change laws of the biological field of the grain pile, and predicting the changes in the state of grain storage. Wang Xiaomeng explored the coupling effect and law between microbial occurrence and temperature and humidity field during corn storage, providing a theoretical basis for the quantitative analysis of changes in the biological field of stored grain. Multi-field coupling research mainly explores the coupling effects and laws between biological factors and abiotic factors in grain piles, providing guidance for ensuring grain storage safety. For example, Cai Jingping studied the safety and mold reproduction of wheat with different moisture contents stored for 50 days under different temperature conditions, revealing the relationship between storage temperature and safe moisture content of wheat storage.

[0005] Although existing theories have completed the establishment of idealized or small-scale grain storage safety models in the laboratory, the current prediction of grain storage safety mainly relies on grain temperature monitoring, data analysis and comprehensive empirical judgment. There are often problems such as incomplete data, low analysis accuracy, and experience-based guidance that lacks universality and effectiveness of actual warehouse guidance, resulting in low accuracy in grain storage safety predictions. Summary of the invention

[0006] The present invention provides a method for predicting grain storage safety based on the coupling strength of a microbial field to solve at least one of the problems existing in the prior art.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] The first aspect of the present invention provides a method for predicting the safety of stored grain based on the coupling strength of a microbial field, the method comprising:

[0009] Constructing a microbial field coupling strength equation, wherein the variables of the microbial field coupling strength equation include physical factors of grain storage;

[0010] Acquire multiple sample data, wherein the sample data is the time value of the inflection point of the grain storage microbial field changing from the latent period to the coupling period in the set grain storage physical factors of the grain sample, the unit of the time value is day, and the grain storage physical factors set in the multiple sample data are different;

[0011] The reciprocal of the time value included in the sample data is used as the microbial field coupling strength, and the polynomial coefficients in the microbial field coupling strength equation are fitted according to the time value included in the sample data and the set grain storage environment factors, thereby obtaining a microbial field coupling strength function;

[0012] The environmental factors of the stored grain to be determined are brought into the microbial field coupling strength function to obtain the microbial field coupling strength of the stored grain to be determined, and the safety level of the stored grain to be determined is determined based on the microbial field coupling strength of the stored grain to be determined.

[0013] Optionally, the physical factors of grain storage include storage temperature and storage humidity.

[0014] Optionally, the microbial field coupling strength equation is

[0015]

[0016] Among them, K represents the coupling strength of the microbial field, T represents the storage temperature value, H represents the storage humidity value, and p 00 、p 10 、p 01 、p 20 、p 11 、p 02 、p 30 、p 21 、p 12 and p 03 are the polynomial coefficients respectively.

[0017] Optionally, the method also includes confirming the time value of the inflection point when the stored grain microbial field changes from the latent period to the coupling period by detecting the number of fungal spores in the sample data; if the number of fungal spores in the microbial field in the sample data reaches a preset growth threshold, it is judged that the microbial field has an inflection point, and the time value of the inflection point when the microbial field changes from the latent period to the coupling period is obtained.

[0018] Optionally, determining the safety level of the stored grain to be determined according to the coupling strength of the microbial field of the stored grain to be determined includes:

[0019] If the value of the microbial field coupling intensity is greater than the first threshold value and less than the second threshold value, it is judged that the stored grain to be determined in the warehouse is in a safe state;

[0020] If the value of the coupling intensity of the microbial field is greater than or equal to the second threshold value and less than the third threshold value, it is judged that the stored grain to be determined in the warehouse is in a critical state;

[0021] If the value of the microbial field coupling intensity is greater than or equal to the third threshold value and less than the fourth threshold value, it is determined that the stored grain in the warehouse is in a dangerous state;

[0022] If the value of the microbial field coupling intensity is greater than or equal to the fourth threshold value, it is determined that the stored grain in the warehouse is in a serious dangerous state.

[0023] Optionally, the unit of storage temperature in the microbial field coupling strength equation is °C, and the unit of storage humidity is %.

[0024] Optionally, the method further comprises

[0025] Different microbial field coupling intensity equations are constructed according to different grain types, and sample data of different grain types are obtained. According to the time values ​​contained in the sample data of different grain types and the set physical factors of grain storage, the polynomial coefficients in the different microbial field coupling intensity equations are fitted to obtain the microbial field coupling intensity functions of different grain types.

[0026] Optionally, the method further comprises

[0027] The corresponding microbial field coupling intensity function is selected according to the type of grain to be determined, the microbial field coupling intensity of the stored grain to be tested is obtained according to the physical factors of the stored grain to be determined, and the safety level of the stored grain to be determined is judged.

[0028] A second aspect of the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect of the present invention when executing the program.

[0029] A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect of the present invention.

[0030] The beneficial effects of the present invention are as follows:

[0031] The present invention detects the storage temperature, storage humidity, storage time and fungal spore count of known grain samples in the actual warehouse, obtains the inflection point time value of the grain storage microbial field changing from the latent period to the coupling period in the set grain storage physical factors, obtains the polynomial coefficients of the microbial field coupling strength equation according to the inflection point time value of the grain sample data and the set grain storage physical factors, thereby obtaining the microbial field coupling strength function, obtains the microbial field coupling strength of the grain to be determined based on the physical factors of the grain storage to be determined, and judges the safety level of the grain storage; and can also obtain the corresponding microbial field coupling strength equation according to different grain types, and predict the safety level of grain storage of different grain types. The present invention realizes the analysis and prediction of the safety of the whole warehouse grain storage during the grain storage period, which is helpful to ensure the safety of grain storage, and solves the shortcomings of relying on experience to predict the storage safety and the universality of the mechanism mathematical model. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0033] Figure 1 A schematic diagram showing the relationship between the growth of microorganisms in grain samples under different storage temperatures, grain moisture contents and storage times in the first embodiment of the present invention;

[0034] Figure 2 A diagram showing the relationship between the coupling strength of the stored grain microbial field and the storage temperature and storage humidity in the first embodiment of the present invention;

[0035] Figure 3 A schematic diagram showing different coupling times of the grain storage microbial field in the first embodiment of the present invention is shown;

[0036] Figure 4 A schematic diagram showing the time when the inflection points of the wheat moisture content occur at different times in the first embodiment of the present invention;

[0037] Figure 5 A schematic diagram showing the time when the inflection point of wheat occurs at different storage temperatures in the first embodiment of the present invention;

[0038] Figure 6 A schematic diagram showing the time of the inflection point of wheat under different storage humidity in the first embodiment of the present invention;

[0039] Figure 7 A graph showing the change of K values ​​corresponding to different points in the wheat grain pile over time in the first embodiment of the present invention is shown;

[0040] Figure 8 A schematic diagram showing the structure of a computer device according to a second embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0042] Example 1

[0043] Grains harvested from the field are naturally loaded with microorganisms to varying degrees. At this time, the dominant microorganisms are field fungi, and the number of spores before storage is generally no more than 10 3 / g; after storage, with the changes in storage temperature, storage humidity and grain moisture content, the dominant microbial genus changes from field fungi to storage fungi, and when the storage temperature, storage humidity and grain moisture content are suitable, fungal spores begin to germinate and grow. According to LS / T 6132-2018 "Grain and Oil Inspection-Detection of Stored Grain Fungi-Spore Counting Method", the judgment criteria for stored grain fungal hazard detection are shown in Table 1.

[0044] Table 1 Criteria for detecting and judging fungal damage in stored grain

[0045]

[0046] This embodiment takes wheat samples as an example, stores wheat with different initial moisture contents at different storage temperatures, and detects changes in the number of microbial fungal spores.

[0047] Figure 1 The figure is a schematic diagram of the relationship between microbial growth in grain samples under different storage temperatures, grain moisture content and storage time. The number of microbial fungal spores in the actual warehouse will increase with the increase of storage temperature and grain moisture content, that is, the safe storage time of grain will be shortened with the increase of storage temperature and grain moisture content. The growth metabolites of microbial fungal spores, such as toxins, will cause a decrease in grain quantity and quality. In order to maintain grain storage safety, it is necessary to control the growth of stored fungal spores.

[0048] This embodiment detects wheat samples taken from real warehouses or experiments to obtain the number of microbial fungal spores, and judges the relationship between storage temperature, storage humidity and grain storage safety. Among them, grain storage is not limited to wheat. According to the judgment results, the grain storage safety of wheat is opposite to the storage humidity and storage temperature, that is, the higher the storage temperature and storage humidity of the wheat sample, the worse the safety of grain storage. In order to achieve safe storage of wheat, the moisture content of wheat should be controlled as low as possible, the storage temperature should be low, and the storage humidity should be low; but this is inconsistent with grain storage cost control. Therefore, it is necessary to find a reasonable balance between storage safety and cost control. This embodiment provides a grain storage safety prediction method based on the coupling intensity of the microbial field. The method deeply couples the experimental data such as storage temperature, grain moisture content, the number of days when the grain storage inflection point occurs, and the total number of fungal spores in the grain storage with the grain data of different regions to construct a grain storage microbial field coupling intensity equation, and analyzes and predicts the safety of grain storage in the real warehouse based on the microbial field coupling intensity value.

[0049] Specifically, the coupling intensity equation of grain microbial field was constructed based on the storage factors when the inflection point of the microbial field of wheat samples occurred. The coupling intensity of the microbial field refers to the reciprocal of the inflection point time value when the stored grain microbial field enters the coupling time zone from the latent time zone, that is, the reciprocal of the number of fungal spores in the microbial field during the storage of grain. It indicates the critical point when the stored grain microbial field changes from a secondary position to a primary position for storage safety, and is closely related to the storage temperature and storage humidity. Figure 2 This is a graph showing the relationship between the coupling intensity of the stored grain microbial field and the storage temperature and humidity.

[0050] The microbial field coupling strength equation is:

[0051]

[0052] Among them, K represents the coupling strength of the microbial field, T represents the storage temperature value, the unit is ℃, H represents the storage humidity value, the unit is %, p 00 、p 10 、p 01 、p 20 、p 11 、p 02 、p 30 、p 21 、p 12 and p 03 They represent the polynomial coefficients in the microbial field coupling strength equation, respectively.

[0053] The time value of the inflection point of the storage microbial field from the latent period to the coupling period is detected for multiple wheat samples under different storage physical factors according to different storage temperatures, grain moisture content and storage humidity. The unit of the time value is day. The time value of the inflection point of the storage microbial field from the latent period to the coupling period is confirmed by detecting the number of fungal spores in the wheat samples: if the number of fungal spores in the microbial field of the wheat sample reaches the preset growth threshold, it is judged that the wheat sample has an inflection point, and the time value of the inflection point of the storage microbial field from the latent period to the coupling period is obtained.

[0054] Figure 3 This is a schematic diagram of different coupling times of the stored grain microbial field. If the total number of microbial fungal spores in the wheat warehouse reaches the preset growth threshold, the wheat sample is judged to have an inflection point, and the time value of the inflection point when the wheat sample microbial field changes from the latent period to the coupling period is obtained, and an early warning is issued before the stored grain is in danger. The total number of fungal spores corresponding to the inflection point does not exceed 1.0×10 6 / g, its safety is between safety and criticality, and the corresponding microbial field is between the latent time zone and the coupling time zone. Therefore, the total number of fungal spores corresponding to the inflection point was tested. From multiple perspectives such as the initial bacterial load of wheat in the real warehouse, the detection method of the fungal spore count, the detection limit of the instrument, and the state and change of grain quality after bacterial load, the total number of microbial fungal spores was comprehensively determined to be 5.0×10 5 / g, and this value is used as the basis for judging the turning point from latent to coupled microbial field.

[0055] The polynomial coefficients in the microbial field coupling intensity equation are obtained according to the time value of the inflection point when the microbial field changes from the latent period to the coupling period and the storage physical factors set when the inflection point occurs, thereby obtaining the microbial field coupling intensity function; among which, the storage physical factors when the inflection point occurs include storage temperature and storage humidity, and the grain moisture content is converted into storage humidity through the storage equilibrium relative humidity formula.

[0056] Specifically, the number of days of inflection point of wheat under different grain moisture content and different storage temperature conditions was studied according to the total number of fungal spores at the inflection point. Figure 4 is the time when the inflection point of wheat with different moisture contents occurs, where the horizontal axis is the storage temperature and the vertical axis is the number of days when the inflection point of the wheat sample occurs; Figure 5 is the time when the inflection point of wheat occurs at different storage temperatures, where the horizontal axis is the moisture content of the wheat sample, and the vertical axis is the number of days when the inflection point of the wheat sample occurs. After converting the moisture content of grain into storage humidity through the storage equilibrium relative humidity formula, the effect of different storage humidity on the number of days when the inflection point of wheat occurs is studied. Figure 6 It is the time when the inflection point of wheat occurs at different storage humidity, where the horizontal axis is the storage humidity of the wheat sample, and the vertical axis is the number of days when the inflection point of the wheat sample occurs.

[0057] according to Figure 4-6 It can be seen that storage temperature, grain moisture content and storage humidity will affect the time when the inflection point of microbial fungal spore count occurs. The higher the storage temperature, the greater the storage humidity and the higher the grain moisture content, the shorter the time when the inflection point of stored fungal spore count occurs, and vice versa.

[0058] Combination Figure 4-6 The measured storage temperature and humidity of wheat and the time value data of the turning point from the latent period to the coupling period of the microbial field were brought into the microbial field coupling strength equation to fit the polynomial coefficients in the equation and obtain the coupling strength function of the microbial field of the wheat sample. Table 2 shows the values ​​of the various coefficients in the coupling strength of the wheat microbial field.

[0059] Table 2 P in the coupling intensity of microbial fields ij Value

[0060] <![CDATA[p 00 ]]> <![CDATA[p 10 ]]> <![CDATA[p 01 ]]> <![CDATA[p 20 ]]> <![CDATA[p 11 ]]> <![CDATA[p 02 ]]> <![CDATA[p 30 ]]> <![CDATA[p 21 ]]> <![CDATA[p 12 ]]> <![CDATA[p 03 ]]> 1.001 0.737 0.997 0 -0.615 -0.608 0 0 0.992 0

[0061] The coupling intensity function of the microbial field of wheat samples is:

[0062]

[0063] Table 3 shows the determination criteria for the coupling strength of the microbial field and the safety level of stored grain in wheat sample data. The microbial field coupling strength K value is determined according to the different storage temperatures and storage humidity of the stored grain to be determined, and the safety level of the stored grain to be determined is determined according to the coupling strength of the microbial field.

[0064] Table 3 Determination criteria of coupling intensity of microbial field and grain storage safety level in wheat sample data

[0065]

[0066] In this embodiment, if the value of the microbial field coupling strength is greater than the first threshold value and less than the second threshold value, it is judged that the stored grain in the warehouse is in a safe state, wherein the first threshold value is 0 and the second threshold value is 0.01;

[0067] If the value of the microbial field coupling intensity is greater than or equal to the second threshold value and less than the third threshold value, it is judged that the stored grain in the warehouse is in a critical state, wherein the third threshold value is 0.03;

[0068] If the value of the microbial field coupling intensity is greater than or equal to the third threshold value and less than the fourth threshold value, it is judged that the stored grain in the warehouse is in a dangerous state, wherein the fourth threshold value is 0.1;

[0069] If the value of the microbial field coupling intensity is greater than or equal to the fourth threshold value, it is determined that the stored grain in the warehouse is in a serious dangerous state.

[0070] According to Table 3, the relationship between the coupling intensity K value of the stored grain microbial field and the stored grain safety (storage time) can also be obtained, that is, the storage safety decreases as the K value increases, and there is a negative correlation between the two, and the greater the storage safety, the longer the safe storage time of grain. The key quality indicators of different types of grain (corn, wheat, soybeans, etc.) are different, and the relationship between the obtained microbial field coupling intensity value and stored grain safety is also different.

[0071] Based on the above method, different microbial field coupling strength equations are constructed according to different grain types, and sample data of different grain types are obtained. According to the time values ​​contained in the sample data of different grain types and the set physical factors of grain storage, the polynomial coefficients in the different microbial field coupling strength equations are fitted, thereby obtaining the microbial field coupling strength functions of different grain types; the corresponding microbial field coupling strength function is selected according to the grain type to be determined, and the microbial field coupling strength of the stored grain to be tested is obtained according to the physical factors of the stored grain to be determined, and the safety level of the stored grain to be determined is judged.

[0072] my country has a vast territory and rich resources. It is divided into seven major grain storage areas based on the climate characteristics, farming systems, major grain storage pests and annual accumulated temperature and humidity of each region: the first grain storage area is the Qinghai-Tibet Plateau grain storage area, the second grain storage area is the Mongolia-Xinjiang grain storage area, the third grain storage area is the Northeast grain storage area, the fourth grain storage area is the North China grain storage area, the fifth grain storage area is the Central China grain storage area, the sixth grain storage area is the Southwest grain storage area, and the seventh grain storage area is the South China grain storage area.

[0073] In a specific embodiment, the North China grain storage area is selected, and the safety of wheat in the warehouse is predicted as an example. This area is a medium-temperature dry and wet area.

[0074] The wheat stored in the warehouse was put into storage on November 29, 2019. The grain stored at different points in the actual warehouse was calculated according to the above microbial field coupling strength equation (the calculation time is up to January 25, 2021). This embodiment selects the relationship between the K value of points A, B and C 30 cm below the grain surface in the middle vertical plane of the grain pile and the time change. Figure 7 The K value of different points in the grain pile changes with time. Point A represents a point where both storage temperature and storage humidity are suitable, point B represents a point where storage temperature is not suitable but storage humidity is suitable, and point C represents a point where both storage temperature and storage humidity are not suitable. Figure 7 It can be seen that the coupling intensity of the stored grain microbial field has obvious differences in the temporal and spatial distribution. The K value of point A continues to increase with the extension of grain storage time; the K values ​​of points B and C gradually tend to be flat with the extension of grain storage time.

[0075] Based on the K value of each point and Table 3, it can be seen that point A was in a critical state at the beginning, entered a dangerous state after about one month of storage, and entered a serious dangerous state after one year; point B was always in a semi-safe state; point C changed from a dangerous state to a semi-safe state after two months due to the continuous changes in storage temperature and storage humidity.

[0076] Therefore, the coupling intensity value K of the microbial field can be calculated through the grain condition data of storage temperature and storage humidity, which can be used to analyze and predict the safety of stored grain and provide guidance for storage practice.

[0077] The research method for predicting grain storage safety based on the coupling intensity of microbial fields provided in this embodiment can realize the safety analysis and future prediction of the entire warehouse grain during grain storage, which solves the shortcomings of relying on experience to predict storage safety and the universality of mechanism mathematical models.

[0078] Example 2

[0079] like Figure 8 As shown, embodiment 2 provides a computer device, it can be understood that, Figure 8 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0080] like Figure 8 As shown, the computer device 12 is in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0081] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0082] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0083] The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 8 not shown, usually called a "hard drive"). Although Figure 8Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0084] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0085] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed through an input / output (I / O) interface 22. Furthermore, the computer device 12 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) through a network adapter 20. Figure 8 As shown, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be understood that although Figure 8 Not shown, other hardware and / or software modules may be used in conjunction with computer device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0086] The processor unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the method provided in Embodiment 1 of the present invention.

[0087] Example 3

[0088] Embodiment 3 provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method described in Embodiment 1 is implemented.

[0089] In practical applications, the computer-readable storage medium can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0090] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0091] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0092] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0093] In the description of the present invention, it should be noted that the terms "upper", "lower", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0094] It should also be noted that, in the description of the present invention, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0095] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the implementation methods here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A method for predicting grain storage safety based on microbial field coupling intensity, characterized in that: The method includes: Constructing a microbial field coupling strength equation, wherein the variables of the microbial field coupling strength equation include physical factors of grain storage; Acquire multiple sample data, wherein the sample data is the time value of the inflection point of the grain storage microbial field changing from the latent period to the coupling period in the set grain storage physical factors of the grain sample, the unit of the time value is day, and the grain storage physical factors set by the multiple sample data are different; The reciprocal of the time value included in the sample data is used as the microbial field coupling strength, and the polynomial coefficients in the microbial field coupling strength equation are fitted according to the time value included in the sample data and the set grain storage physical factors, thereby obtaining the microbial field coupling strength function; The physical factors of the stored grain to be determined are substituted into the microbial field coupling strength function to obtain the microbial field coupling strength of the stored grain to be determined, and the safety level of the stored grain to be determined is determined based on the microbial field coupling strength of the stored grain to be determined.

2. The method according to claim 1, characterized in that The physical factors of grain storage include storage temperature and storage humidity.

3. The method according to claim 1, characterized in that The microbial field coupling strength equation is: Among them, K represents the coupling strength of the microbial field, T represents the storage temperature value, H represents the storage humidity value, and p 00 、p 10 、p 01 、p 20 、p 11 、p 02 、p 30 、p 21 、p 12 and p 03 are the polynomial coefficients respectively.

4. The method according to claim 1, characterized in that: By detecting the number of fungal spores in the sample data, the time value of the turning point when the stored grain microbial field changes from the latent period to the coupling period is confirmed. If the number of fungal spores in the microbial field in the sample data reaches the preset growth threshold, it is judged that the microbial field has an inflection point, and the time value of the inflection point when the microbial field changes from the latent period to the coupling period is obtained.

5. The method according to claim 1, characterized in that The step of determining the safety level of the stored grain to be determined according to the coupling strength of the microbial field of the stored grain to be determined includes: If the value of the microbial field coupling intensity is greater than the first threshold value and less than the second threshold value, it is judged that the stored grain to be determined in the warehouse is in a safe state; If the value of the coupling intensity of the microbial field is greater than or equal to the second threshold value and less than the third threshold value, it is judged that the stored grain to be determined in the warehouse is in a critical state; If the value of the microbial field coupling intensity is greater than or equal to the third threshold value and less than the fourth threshold value, it is determined that the stored grain in the warehouse is in a dangerous state; If the value of the microbial field coupling intensity is greater than or equal to the fourth threshold value, it is determined that the stored grain in the warehouse is in a serious dangerous state.

6. The method according to claim 3, characterized in that The unit of storage temperature in the microbial field coupling strength equation is °C, and the unit of storage humidity is %.

7. The method according to claim 1, characterized in that The method also includes Different microbial field coupling intensity equations are constructed according to different grain types, and sample data of different grain types are obtained. According to the time values ​​contained in the sample data of different grain types and the set physical factors of grain storage, the polynomial coefficients in the different microbial field coupling intensity equations are fitted to obtain the microbial field coupling intensity functions of different grain types.

8. The method according to claim 7, characterized in that The method further comprises The corresponding microbial field coupling intensity function is selected according to the type of grain to be determined, the microbial field coupling intensity of the stored grain to be tested is obtained according to the physical factors of the stored grain to be determined, and the safety level of the stored grain to be determined is judged.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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