A sampling device for detecting biological pesticide content

Abstract

The present invention relates to the field of sampling and testing technology, and specifically to a sampling device for detecting the content of biological pesticides. The sampling device body includes a sampling collection component and a sampling analysis module, and the sampling analysis module is installed on the sampling collection component. The sampling analysis module includes: a data acquisition device and a sampling frequency analysis controller; the signal output end of the data acquisition device is connected to the signal input end of the sampling frequency analysis controller; the data acquisition device is used to obtain the scattering intensity of biological pesticide particles at different times; the sampling frequency analysis controller is used to analyze the scattering intensity of biological pesticide particles and determine the sampling frequency of the next sampling cycle. The present invention analyzes the scattering intensity of biological pesticide particles to adjust the sampling frequency of subsequent sampling cycles, thereby more accurately capturing the local content concentration differences of biological pesticides during production or storage, and improving the accuracy of the final detection and evaluation.

Description

Technical Field

[0001] The invention relates to the technical field of sampling and testing, and in particular to a sampling device for detecting the content of biological pesticides. Background Art

[0002] Biopesticides are preparations made from biologically active substances produced by living organisms or biological metabolism, or substances extracted from organisms. They have the characteristics of high selectivity, low environmental pollution, low resistance to drugs, and a large number of available resources. In order to ensure the effectiveness and safety of these pesticides, the detection of biopesticide content has become increasingly important, which has also promoted the growth of demand for sampling devices in terms of accuracy, efficiency and automation. A specific sampling device is disclosed in a patent document with publication number CN109580285B and invention name A sampling and detection device for biopesticide particles based on Bacillus subtilis. The sampling and detection device includes a sampling and collection component, a second motor of the sampling and collection component, which drives the movement of the ball nut and causes the first clamp and the second clamp to move in the opposite direction to complete the subsequent sampling work.

[0003] At present, in the sampling for the detection of biopesticide content, in order to make it possible to evenly detect the biological activity in the biopesticide particles and reduce the wear of the biopesticide particles during the detection, a uniform sampling method is usually adopted. However, if there are local concentration differences during the production or storage of biopesticides, uniform sampling may not accurately capture these differences, resulting in the test results not truly reflecting the actual situation; and uniform sampling may mask the high or low concentration of certain biopesticides, leading to misjudgment of the actual distribution and efficacy of biopesticides, affecting the final detection and evaluation, and uniform sampling cannot adaptively adjust the sampling frequency for real-time abnormal biopesticide content problems. Summary of the invention

[0004] In order to solve the technical problem that uniform sampling cannot adaptively adjust the sampling frequency for the abnormal content of biological pesticides that occurs in real time, the purpose of the present invention is to provide a sampling device for detecting the content of biological pesticides. The technical solution adopted is as follows:

[0005] In a first aspect, an embodiment of the present invention provides a sampling device for detecting the content of a biological pesticide, comprising a sampling device body, wherein the sampling device body comprises a sampling collection component and a sampling analysis module, wherein the sampling analysis module is mounted on the sampling collection component, and wherein the sampling analysis module comprises: a data acquisition device, a sampling frequency analysis controller;

[0006] The signal output end of the data acquisition device is connected to the signal input end of the sampling frequency analysis controller; the data acquisition device is used to obtain the scattering intensity of the biological pesticide particles at different times;

[0007] The sampling frequency analysis controller is used to determine the scattering intensity stability of the current sampling cycle by combining the scattering intensity of the biological pesticide particles in the current sampling cycle and the fluctuation range of a single fluctuation cycle within the current sampling cycle; compare the scattering intensity stability of the current sampling cycle and the historical sampling cycle to obtain the sampling frequency adjustment parameters of the next sampling cycle; and determine the sampling frequency of the next sampling cycle by combining the sampling frequency adjustment parameters and the operating speed of the second motor of the sampling and acquisition component.

[0008] Further, the scattering intensity of the combined biological pesticide particles in the current sampling cycle and the fluctuation range of a single fluctuation cycle in the current sampling cycle are determined to determine the scattering intensity stability of the current sampling cycle, including:

[0009] Analyze the stability of the fluctuation range of different single fluctuation cycles of the scattering intensity of the biopesticide particles in the current sampling cycle to determine the fluctuation stability of the current sampling cycle;

[0010] The scattering intensity stability of the current sampling period is determined by combining the fluctuation stability, the representative value of the scattering intensity in the current sampling period, and the difference between the overall distribution.

[0011] Furthermore, the analysis of the stability of the fluctuation range of different single fluctuation periods of the scattering intensity of the biopesticide particles in the current sampling period to determine the fluctuation stability of the current sampling period includes:

[0012] Obtain the extreme values ​​of adjacent extreme values ​​in the scattering intensity of the biopesticide particles, and calculate the degree of dispersion of all extreme values ​​in the current sampling cycle;

[0013] The degree of dispersion is negatively correlated to obtain the fluctuation stability of the current sampling cycle.

[0014] Further, the combining of the fluctuation stability, the difference between the representative value of the scattering intensity in the current sampling period and the overall distribution to determine the scattering intensity stability in the current sampling period includes:

[0015] Obtain the average value of the scattering intensity in the current sampling period, recorded as the average scattering intensity;

[0016] Analyze the difference between each extreme value and the mean value of the scattering intensity corresponding to the scattering intensity of the biopesticide particles to determine the scattering fluctuation difference;

[0017] The scattering intensity stability of the current sampling period is determined according to the fluctuation stability and the scattering fluctuation difference.

[0018] Furthermore, the analysis of the difference between each extreme difference value corresponding to the scattering intensity of the biological pesticide particles and the mean value of the scattering intensity to determine the scattering fluctuation difference includes:

[0019] The absolute value of the difference between each extreme value and the mean value of the scattering intensity corresponding to the scattering intensity of the biopesticide particles is calculated as a single difference for each extreme value;

[0020] The mean of the single differences corresponding to the scattering intensity of the biopesticide particles was taken as the scattering fluctuation difference.

[0021] Further, determining the scattering intensity stability of the current sampling period according to the fluctuation stability and the scattering fluctuation difference includes:

[0022] The product of the negative correlation mapping value of the scattering fluctuation difference and the fluctuation stability is taken as the scattering intensity stability of the current sampling period.

[0023] Furthermore, the comparison of the scattering intensity stability of the current sampling cycle and the historical sampling cycle to obtain the sampling frequency adjustment parameter of the next sampling cycle includes:

[0024] For the historical sampling period, the scattering intensity stability of the historical sampling period is determined by combining the scattering intensity of the biopesticide particles in the historical sampling period and the fluctuation range of a single fluctuation period within the historical sampling period;

[0025] Determine the first historical difference by comparing the scattering intensity stability of the current sampling period and the historical sampling period;

[0026] Determine the second historical difference by comparing the mean of the scattering intensity of the current sampling period and the historical sampling period;

[0027] The first historical difference and the second historical difference are combined to obtain the sampling frequency adjustment parameter of the next sampling cycle; wherein the historical sampling cycle is a standard sampling cycle determined from historical data.

[0028] Furthermore, the determining of the first historical difference by comparing the scattering intensity stability of the current sampling period and the historical sampling period includes:

[0029] The square of the difference between the scattering intensity stability of the current sampling period and the historical sampling period is used as the first historical difference degree.

[0030] Furthermore, the combining of the first historical difference and the second historical difference to obtain a sampling frequency adjustment parameter for the next sampling period includes:

[0031] The arithmetic square root of the sum of the first historical difference and the second historical difference is normalized, and the normalized result value is used as the sampling frequency adjustment parameter.

[0032] Furthermore, the step of combining the sampling frequency adjustment parameter and the operating speed of the second motor of the sampling and acquisition component to determine the sampling frequency of the next sampling inspection cycle includes:

[0033] Obtaining a sampling frequency corresponding to a minimum operating speed of a second motor of a sampling and acquisition component and a sampling frequency corresponding to an adjustable operating speed that can be adjusted;

[0034] The product of the normalized sampling frequency adjustment parameter and the sampling frequency corresponding to the adjusted working speed is used as the sampling frequency adjustment value;

[0035] The sum of the sampling frequency corresponding to the minimum operating speed and the sampling frequency adjustment value is used as the sampling frequency of the next sampling inspection cycle.

[0036] In a second aspect, an embodiment of the present invention provides an electronic device, including a memory 410 and a processor 420, wherein the memory 410 stores executable code, and when the processor 420 executes the executable code, various possible implementation embodiments of the first aspect are implemented.

[0037] In a third aspect, an embodiment of the present invention provides a computer program product, which includes: a computer program code, which, when executed on a computer, enables the computer to execute the method in the first aspect or any possible implementation of the first aspect.

[0038] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium on which a computer program 430 is stored. When the computer program 430 is executed in a computer, the computer executes various possible implementation embodiments of the first aspect.

[0039] The embodiments of the present invention have at least the following beneficial effects:

[0040] The sampling frequency analysis controller in the sampling device body of the present invention is used to realize the analysis and calculation of the sampling frequency of the next sampling cycle. Because when the content of biological pesticides is detected, only uniform sampling may cause local concentration differences in the production or storage process of biological pesticides, and uniform sampling may not accurately capture these differences. Therefore, the sampling device involved in the present invention analyzes the scattering intensity of biological pesticide particles to adjust the sampling frequency of the next sampling cycle, thereby achieving the purpose of adaptive adjustment of the sampling frequency. By analyzing the stability of the scattering intensity of the biological pesticide content under each sampling cycle, the scattering intensity stability is determined; and the current sampling cycle is compared with the historical sampling cycle to determine the abnormal conditions that may exist in the biological pesticide content in the current sampling cycle, determine the sampling frequency adjustment parameters of the next sampling cycle, and adjust the sampling frequency of the subsequent sampling cycle by adjusting the sampling frequency adjustment parameters of the next sampling cycle, so as to more accurately capture the local content concentration differences of biological pesticides in the production or storage process, reflect the real biological pesticide content status, and improve the accuracy of the final detection and evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A method flow chart of a sampling device for detecting the content of biological pesticides provided by one embodiment of the present invention;

[0043] Figure 2 A method flow chart of a method for obtaining the scattering intensity stability of a current sampling cycle provided by an embodiment of the present invention;

[0044] Figure 3 A schematic diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following, in combination with the accompanying drawings and preferred embodiments, a sampling device for detecting the content of biological pesticides proposed in accordance with the present invention, its specific implementation method, structure, characteristics and effects are described in detail as follows.

[0046] In the following description, different "one embodiment" or "another embodiment" do 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.

[0047] Among them, in the description of the embodiments of the present invention, unless otherwise specified, " / " means or, for example, A / B can mean A or B: "and / or" in the text is only a description of the association relationship of associated objects, indicating that there may be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present invention, "multiple" refers to two or more than two.

[0048] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features.

[0049] 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 invention belongs.

[0050] The embodiments of the present invention are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided by the embodiments of the present invention are also applicable to similar technical problems.

[0051] The embodiment of the present invention provides a sampling device for detecting the content of biological pesticides, including a sampling device body, which is a conventional sampling device, such as the patent document with publication number CN109580285B and invention name of a sampling and detection device in a sampling and detection device for biological pesticide particles based on Bacillus subtilis. In this embodiment, the sampling device body includes a sampling and collection component and a sampling and analysis module, and the sampling and collection component is specifically the sampling and collection component in the patent document with publication number CN109580285B and invention name of a sampling and detection device in a sampling and detection device for biological pesticide particles based on Bacillus subtilis. It should be understood that the sampling device body also includes related control equipment, which is a sampling frequency analysis controller in the sampling and analysis module in the embodiment of the present invention, which is used to determine the sampling frequency of the next sampling cycle to sample the biological pesticide particles.

[0052] The sampling and analysis module is installed on the sampling and collection component, and the sampling and analysis module includes: a data collection device and a sampling frequency analysis controller.

[0053] The data acquisition device is a laser scattering sensor, which is used to estimate the concentration and distribution of particles by measuring the scattering intensity of light in the sample, and can be used to detect the content of biological pesticide particles. This detection provides a relevant basis for the subsequent adjustment of the sampling frequency.

[0054] Among them, the sampling frequency analysis controller is used for data processing and machine control. It is a programmable logic controller and is used to analyze the scattering intensity of the biological pesticide particles detected by the data acquisition device to preliminarily reflect the differences in the content of the biological pesticide; and to analyze and adjust the speed of the second motor of the sampling and acquisition component to adaptively determine the sampling frequency.

[0055] The second motor of the sampling and collecting assembly drives the ball nut to move and causes the first clamping member and the second clamping member to move in opposite directions to complete the subsequent sampling work.

[0056] The scattering intensity of the sampled biopesticide particles is obtained by the data acquisition device in the sampling and analysis module, and sent to the sampling frequency analysis controller for analysis. The content stability of the currently sampled biopesticide particles is analyzed based on the temperature condition of the scattering intensity, and the basis for adjusting the speed of the second motor of the sampling and acquisition component is determined, thereby adapting the sampling frequency of the biopesticide.

[0057] The operation process of the sampling device: the base of the sampling device is connected to the second support frame through the first support frame, the first support frame and the base are arranged perpendicular to each other, the base and the second support frame are arranged parallel to each other, an auxiliary moving component is fixedly connected to the base, and a uniform stirring component is slidably connected to the auxiliary moving component. The auxiliary moving component is used to drive the uniform stirring component to move left and right as a whole. The lower side of the second support frame is connected to a sampling and collecting component through a mobile conveying component, and the mobile conveying component is used to assist the sampling and collecting component to move left and right. The sampling and collecting component is used to sample the biological pesticide particles in the uniform stirring component. While sampling, the corresponding reflection intensity is obtained through the data acquisition device, that is, the laser scattering sensor is used to obtain the corresponding reflection intensity, and a preliminary analysis is performed through the sampling frequency analysis controller to adjust the working speed of the second motor to adjust the sampling frequency.

[0058] The specific scheme of the sampling device for detecting the content of biological pesticides provided by the present invention is described in detail below with reference to the accompanying drawings.

[0059] See also Figure 1 , which shows a flowchart of the steps of analyzing and processing the sampling frequency based on the scattering intensity of the biological pesticide particles in a sampling device for detecting the content of biological pesticides provided by an embodiment of the present invention, wherein the method comprises the following steps:

[0060] Step S100, combining the scattering intensity of the biopesticide particles in the current sampling cycle and the fluctuation range of a single fluctuation cycle in the current sampling cycle, to determine the scattering intensity stability of the current sampling cycle.

[0061] The data acquisition device can detect biopesticide particles by measuring the scattering intensity of light in a sample of biopesticide particles to evaluate the content of biopesticide particles. Specifically, the scattering intensity is related to the concentration and distribution of biopesticide particles, because the intensity of scattered light depends on the number, size and shape of the particles. The higher the particle concentration and the larger the particle size, the greater the scattering intensity of the scattered light. Biopesticide particles that are evenly distributed in the internal space will result in a more stable scattering intensity. Otherwise, an unstable scattering intensity will be presented.

[0062] For biological pesticides that meet production quality standards, the particle size, concentration, and spatial distribution mentioned above should show similar characteristics, and the corresponding scattering intensity should be stable and relatively consistent. Therefore, the scattering intensity is used for comprehensive analysis and the content stability of the biological pesticide is used.

[0063] It is added here that the biopesticide content reflected by the scattering intensity is not a precise component detection of the biopesticide content, but is used to analyze whether the currently sampled biopesticide particles have similar biopesticide particle-related characteristics, thereby reflecting whether the currently produced biopesticide particles are different, and using this to facilitate the adjustment of the subsequent sampling frequency, thereby more accurately reflecting the true quality of the current biopesticide particles.

[0064] Here, the biological pesticide particles sampled within the preset time period are set as data within a sampling cycle, that is, the preset time period is taken as the duration of a sampling cycle. In the embodiment of the present invention, the preset time period is 10 minutes, and in other embodiments, the duration of the sampling cycle can be adjusted by the implementer according to actual conditions. For different sampling cycles, the scattering intensity of the biological pesticide particles is compared and analyzed as follows. That is, in some embodiments, the scattering intensity stability of the current sampling cycle is determined by combining the scattering intensity of the biological pesticide particles in the current sampling cycle and the fluctuation range of a single fluctuation cycle in the current sampling cycle. That is, the above step S100 can be performed by Figure 2 The steps shown achieve:

[0065] Step S110, analyzing the stability of the fluctuation range of different single fluctuation periods of the scattering intensity of the biopesticide particles in the current sampling period, and determining the fluctuation stability of the current sampling period.

[0066] The number of biopesticide particles sampled in the current sampling cycle is recorded as M. It should be noted that the initial sampling frequency can be the lowest sampling frequency, and the implementer can also set the initial sampling frequency according to actual conditions.

[0067] The scattering intensities of various biological pesticides in the current sampling cycle are traversed in order of sampling, and the extreme points are screened, and the number of extreme points is recorded as N.

[0068] Since usually a sampling cycle consists of two adjacent extreme values, that is, adjacent maximum and minimum values, a single fluctuation cycle. Therefore, here, the extreme point is taken as the representative point of the biological pesticide particles, that is, the value corresponding to the extreme point is taken as the representative value of the scattering intensity in the current sampling cycle, because the extreme point can reflect the minimum and maximum values ​​of the data to a certain extent, and the adjacent maximum and minimum values ​​can constitute a fluctuation cycle, which is more representative. The difference in the scattering intensity corresponding to the adjacent extreme points is taken as the extreme difference value of the adjacent extreme values, and the extreme difference value is an absolute value. The extreme difference value reflects the adjacent fluctuation range value of the sampled biological pesticide particles.

[0069] First, the extreme value of the adjacent extreme value in the scattering intensity of the biopesticide particles is obtained, and the degree of dispersion of all extreme values ​​in the current sampling period is calculated. The degree of dispersion of the extreme value fluctuation of the extreme value is analyzed to obtain the degree of dispersion of the extreme value. The larger the value of the dispersion of the extreme value, the lower the degree of stability of the current biopesticide content reflected by the adjacent extreme value difference of the scattering intensity of the biopesticide particles; conversely, the smaller the value of the dispersion of the extreme value, the higher the degree of stability of the current biopesticide content reflected by the adjacent extreme value difference of the scattering intensity of the biopesticide particles.

[0070] In some embodiments, the standard deviation of all extreme values ​​in the current sampling cycle may be used as the degree of dispersion of the extreme values; in other embodiments, the variance of all extreme values ​​in the current sampling cycle may also be used as the degree of dispersion of the extreme values.

[0071] Since what is obtained here is the degree of dispersion of all extreme values ​​in the current sampling cycle, and the subsequent steps want to analyze the stability of the scattering intensity of the biological pesticide particles in the sampling cycle. The greater the degree of dispersion, the smaller the corresponding fluctuation stability, and the smaller the degree of dispersion, the greater the corresponding fluctuation stability. Therefore, a negative correlation mapping is performed on the degree of dispersion to obtain the fluctuation stability of the current sampling cycle.

[0072] In some embodiments, the discrete degree may be inverted to achieve negative correlation mapping of the discrete degree.

[0073] In other embodiments, the degree of discreteness may be negated to achieve negative correlation mapping of the degree of discreteness.

[0074] In the embodiment of the present invention, the calculation formula of the fluctuation stability of the current sampling period is: ; Where Q represents the fluctuation stability of the current sampling cycle; represents the extreme value difference between the nth extreme value point and its adjacent extreme value point; σ represents the standard deviation; N is the number of extreme value points in the current sampling cycle; norm is the normalization function. The extreme value difference is the value after the absolute value operation.

[0075] It should be noted that the extreme value points are obtained by traversing the scattering intensity of the biopesticide particles based on the sampling sequence in the current sampling cycle.

[0076] Thus, the fluctuation stability of the current sampling cycle can be obtained.

[0077] Step S120, combining the fluctuation stability, the difference between the representative value of the scattering intensity in the current sampling period and the overall distribution, to determine the scattering intensity stability in the current sampling period.

[0078] Next, we will determine the stability of the scattering intensity of the biological pesticide particles analyzed in the current sampling cycle. The fluctuation stability of the extreme values ​​of the current sampling cycle analyzed above is analyzed based on adjacent extreme value points as a unit, that is, it is analyzed based on a single fluctuation cycle in the current sampling cycle, but it is not enough to reflect the stability within the corresponding range of adjacent extreme value points. Therefore, the scattering intensity stability of the biological pesticide particles in the current sampling cycle is determined through overall analysis and comparison one by one and combined with the above extreme value fluctuation stability.

[0079] Get the mean scattering intensity of the biopesticide particles in the current sampling period, recorded as the mean scattering intensity ; Analyze the difference between each extreme value corresponding to the scattering intensity of the biological pesticide particles and the mean value of the scattering intensity to determine the scattering fluctuation difference; determine the scattering intensity stability of the current sampling cycle based on the fluctuation stability and the scattering fluctuation difference.

[0080] Among them, the method of analyzing the difference between each extreme difference value and the mean scattering intensity corresponding to the scattering intensity of the biological pesticide particles to determine the scattering fluctuation difference is specific: the absolute value of the difference between each extreme difference value and the mean scattering intensity corresponding to the scattering intensity of the biological pesticide particles is calculated as the single difference of each extreme difference value; the mean of the single difference corresponding to the scattering intensity of the biological pesticide particles is taken as the scattering fluctuation difference.

[0081] Among them, according to the fluctuation stability and the scattering fluctuation difference, the method for obtaining the scattering intensity stability of the current sampling cycle is: taking the product of the negative correlation mapping value of the scattering fluctuation difference and the fluctuation stability as the scattering intensity stability of the current sampling cycle.

[0082] In some embodiments, the negative correlation mapping value may be achieved by taking the inverse of the normalized value of the scattering fluctuation difference.

[0083] In other embodiments, an exponential function with a natural constant as the base and the opposite number of the scattering fluctuation difference as the exponent may be calculated to achieve negative correlation mapping of the scattering fluctuation difference.

[0084] The calculation formula of the scattering intensity stability W is: ; Q is the fluctuation stability of the current sampling cycle; norm is the normalization function; M is the number of biopesticide particles in the current sampling cycle; is the range value corresponding to the scattering intensity of the mth biological pesticide particle in the current sampling period; is the mean scattering intensity of the scattering intensity of the biopesticide particles in the current sampling period; is the scattering fluctuation difference; the denominator is added with 0.1 to avoid the denominator being equal to 0.

[0085] Thus, the scattering intensity stability of the biopesticide particles within the current sampling period can be determined.

[0086] Step S200, comparing the scattering intensity stability of the current sampling cycle and the historical sampling cycle to obtain the sampling frequency adjustment parameter of the next sampling cycle.

[0087] For the current sampling cycle, the difference between the current and historical average biopesticide particles in scattering degree and the difference in scattering intensity stability can be comprehensively determined to determine the difference between the biopesticide particles in the current sampling cycle and the biopesticide particles in the historical sampling cycle. The greater the difference, the greater the possibility that the content of the biopesticide particles sampled in the current sampling cycle and the subsequent sampling is abnormal, and the sampling frequency should be increased. Therefore, the data of the current sampling cycle and the historical sampling cycle are compared to obtain the sampling frequency adjustment parameters for the next sampling cycle.

[0088] The method for obtaining the sampling frequency adjustment parameter is more specific: for the historical sampling period, the scattering intensity stability of the historical sampling period is determined by combining the scattering intensity of the biological pesticide particles in the historical sampling period and the fluctuation range of a single fluctuation period within the historical sampling period.

[0089] By comparing the scattering intensity stability of the current sampling period and the historical sampling period, the first historical difference is determined.

[0090] In some embodiments, the square of the difference between the scattering intensity stability of the current sampling cycle and the historical sampling cycle is used as the first historical difference. In some embodiments of the present invention, the historical sampling cycle can be a standard sampling cycle determined from historical data, specifically, it is determined by the implementer from the historical data according to actual conditions; then the scattering intensity stability of the corresponding historical sampling cycle is the scattering intensity stability corresponding to the standard sampling cycle determined from the historical data; in other embodiments of the present invention, the historical sampling cycle can also be for all historical cycles, then the scattering intensity stability of the historical sampling cycle here is the average value of the scattering intensity stability of each historical sampling cycle; it should be noted that the method for obtaining the mean value of the scattering intensity involved in calculating the second historical difference is similar.

[0091] In other embodiments, the absolute value of the difference between the scattering intensity stability of the current sampling cycle and the historical sampling cycle can also be used as the first historical difference. It should be noted that the calculation of the first historical difference is to reflect the difference in scattering intensity stability between the current sampling cycle and the historical sampling cycle.

[0092] By comparing the average values ​​of the scattering intensities of the current sampling period and the historical sampling period, a second historical difference is determined. The calculation method of the second historical difference is the same as the calculation method of the first historical difference.

[0093] In some embodiments, the square of the difference between the mean of the scattering intensity of the current sampling cycle and the historical sampling cycle can be used as the second historical difference. In other embodiments, the absolute value of the difference between the mean of the scattering intensity of the current sampling cycle and the historical sampling cycle can also be used as the second historical difference. It should be noted that the calculation of the second historical difference is to reflect the difference in scattering intensity between the current sampling cycle and the historical sampling cycle.

[0094] Finally, the first historical difference and the second historical difference are combined to obtain the sampling frequency adjustment parameter of the next sampling cycle.

[0095] In some embodiments, the arithmetic square root of the sum of the first historical difference and the second historical difference is normalized, and the normalized result value is used as the sampling frequency adjustment parameter.

[0096] In other embodiments, the sum of the first historical difference and the second historical difference is normalized, and the normalized result value is used as the sampling frequency adjustment parameter. It should be noted that the sampling frequency adjustment parameter is parameter data determined by integrating the first historical difference and the second historical difference.

[0097] In one embodiment of the present invention, the average value of the average scattering intensity in each historical sampling cycle before the current sampling cycle is ; and the average value of the scattering intensity stability under each historical sampling cycle is recorded as W1; the calculation formula for the sampling frequency adjustment parameter of the next sampling cycle is: ; Wherein, E is the sampling frequency adjustment parameter of the next sampling cycle; norm is the normalization function; is the mean scattering intensity of the scattering intensity of the biological pesticide particles in the current sampling period; W is the scattering intensity stability of the biological pesticide particles in the current sampling period.

[0098] Thus, the parameter value E reflecting the difference between the current sampling cycle and the historical sampling cycle can be obtained, and E can be used as the sampling frequency adjustment parameter of the next sampling cycle.

[0099] Step S300, determining the sampling frequency of the next sampling cycle in combination with the sampling frequency adjustment parameter and the operating speed of the second motor of the sampling acquisition component.

[0100] In the above steps, the present invention determines the sampling frequency adjustment parameters of the next sampling cycle that reflect the difference between the current sampling cycle and the historical sampling cycle. The greater the difference between the current sampling cycle and the historical sampling cycle, the greater the possibility of abnormal content of biological pesticide particles. Therefore, the sampling frequency should be adjusted. The sampling frequency is related to the rotation speed of the second motor of the sampling and acquisition component. Therefore, the difference between the current sampling cycle and the historical sampling cycle can be used as the sampling frequency adjustment parameter of the next sampling cycle.

[0101] First, the minimum operating speed and the corresponding sampling frequency of the second motor of the sampling and acquisition component, as well as the adjustable operating speed and the corresponding sampling frequency are obtained, wherein the sum of the minimum operating speed and the adjustable operating speed is the maximum operating speed of the second motor of the sampling and acquisition component.

[0102] It should be noted that the minimum operating speed of the second motor of the sampling and acquisition component and the adjustable operating speed value can be directly obtained according to the equipment parameters of the second motor equipment. The minimum operating speed refers to the minimum speed value determined by adjustment and experiment under normal working conditions of the motor, which can also be called the design speed. When the motor is running, the actual speed cannot be less than the design speed. The maximum operating speed is the highest speed that the motor can actually reach. When the motor is running, the actual speed cannot be greater than the maximum operating speed.

[0103] In some embodiments, the product of the normalized sampling frequency adjustment parameter and the sampling frequency corresponding to the adjusted working speed is used as the sampling frequency adjustment value. The sum of the sampling frequency corresponding to the minimum working speed and the sampling frequency adjustment value is used as the sampling frequency of the next sampling inspection cycle.

[0104] More specifically, the sampling frequency corresponding to the minimum operating speed of the second motor is recorded as k1, and the sampling frequency corresponding to the adjustable operating speed is recorded as K. Thus, the sampling frequency T of the next sampling cycle is determined as: .

[0105] Through the above steps, the embodiment of the present invention can determine the sampling frequency of the next inspection cycle, and use the PLC data to control the speed of the second motor to adjust the sampling frequency of the next inspection cycle, so as to better sample the biological pesticide content detection.

[0106] Optionally, the transmission medium may be a wired link, such as but not limited to coaxial cable, optical fiber, and digital subscriber line, or a wireless link, such as but not limited to Wireless Fidelity (WIFI), Bluetooth, and mobile device network.

[0107] It should be noted that: the device provided in the above embodiment is only illustrated by the division of the above functional modules. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device 400 is divided into different functional modules to complete all or part of the functions described above. In addition, the shopping guide device provided in the above embodiment and the image extension method embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0108] Figure 3 4 is a schematic diagram of a computer device 400 provided in an embodiment of the present invention. Figure 3 As shown, the computer device 400 includes: a memory 410, a processor 420, and a computer program 430 stored in the memory 410 and running on the processor 420, wherein when the processor 420 executes the computer program 430, the computer device 400 can execute any one of the sampling devices for detecting the content of biological pesticides introduced above.

[0109] In addition, an embodiment of the present invention also protects a device, which may include a memory 410 and a processor 420, wherein the memory 410 stores an executable program code, and the processor 420 is used to call and execute the executable program code to execute a sampling device for detecting the content of biological pesticides provided in an embodiment of the present invention.

[0110] The embodiment of the present invention can divide the functional modules of the device according to the above method example. For example, each functional module can be corresponded, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0111] In the case of dividing each module according to each function, the device may also include a signal uploading module, a determining module, an adjusting module, etc. It should be noted that all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, which will not be repeated here.

[0112] It should be understood that the device provided in the embodiment of the present invention is a sampling device for performing the above-mentioned biological pesticide content detection, and thus can achieve the same effect as the above-mentioned implementation method.

[0113] In the case of an integrated unit, the device may include a processing module and a storage module. When the device is applied to a device, the processing module may be used to control and manage the actions of the device. The storage module may be used to support the device to execute mutual program codes, etc. The processing module may be a processor 420 or a controller, which may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. The processor 420 may also be a combination that implements a computing function, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc. The storage module may be a memory 410.

[0114] In addition, the device provided in the embodiment of the present invention may specifically be a chip, a component or a module, and the chip may include a connected processor 420 and a memory 410; wherein the memory 410 is used to store instructions, and when the processor 420 calls and executes the instructions, the chip can execute a sampling device for detecting the content of biological pesticides provided in the above embodiment.

[0115] An embodiment of the present invention also provides a computer-readable storage medium, in which a computer program code is stored. When the computer program code is run on a computer, the computer executes the above-mentioned related method steps to implement a sampling device for detecting the content of biological pesticides provided in the above embodiment.

[0116] An embodiment of the present invention further provides a computer program product. When the computer program product is run on a computer, the computer is caused to execute the above-mentioned related steps to implement a sampling device for detecting the content of biological pesticides provided in the above-mentioned embodiment.

[0117] Among them, the device, computer-readable storage medium, computer program product or chip provided in the embodiments of the present invention are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here. Through the description of the above implementation methods, technicians in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways.

[0118] The device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. There may be other divisions in actual implementation. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0119] It should also be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0120] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. 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.

[0121] 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.

[0122] The above contents are only specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered within the protection scope of the present invention.

Claims

1. A sampling device for detecting the content of biological pesticides, comprising a sampling device body, characterized in that: The sampling device body includes a sampling collection component and a sampling analysis module. The sampling analysis module is installed on the sampling collection component. The sampling analysis module includes: a data acquisition device and a sampling frequency analysis controller; The signal output end of the data acquisition device is connected to the signal input end of the sampling frequency analysis controller; the data acquisition device is used to obtain the scattering intensity of the biological pesticide particles at different times; The sampling frequency analysis controller is used to determine the scattering intensity stability of the current sampling cycle in combination with the scattering intensity of the biological pesticide particles in the current sampling cycle and the fluctuation range of a single fluctuation cycle in the current sampling cycle; compare the scattering intensity stability of the current sampling cycle and the historical sampling cycle to obtain the sampling frequency adjustment parameter of the next sampling cycle; determine the sampling frequency of the next sampling cycle in combination with the sampling frequency adjustment parameter and the working speed of the second motor of the sampling collection component; The method for obtaining the scattering intensity stability is as follows: analyzing the stability of the fluctuation range of different single fluctuation cycles of the scattering intensity of the biological pesticide particles in the current sampling period to determine the fluctuation stability of the current sampling period; combining the fluctuation stability, the difference between the representative value and the overall distribution of the scattering intensity in the current sampling period to determine the scattering intensity stability of the current sampling period; Among them, the scattering intensity stability of the current sampling cycle is determined in combination with the difference between the representative value of the scattering intensity in the current sampling cycle and the overall distribution, including: obtaining the mean of the scattering intensity in the current sampling cycle, recorded as the mean scattering intensity; analyzing the difference between each extreme value corresponding to the scattering intensity of the biological pesticide particles and the mean scattering intensity to determine the scattering fluctuation difference; and determining the scattering intensity stability of the current sampling cycle based on the fluctuation stability and the scattering fluctuation difference.

2. A sampling device for detecting the content of biological pesticides according to claim 1, characterized in that: The analysis of the stability of the fluctuation range of different single fluctuation cycles of the scattering intensity of the biological pesticide particles in the current sampling cycle to determine the fluctuation stability of the current sampling cycle includes: Obtain the extreme values ​​of adjacent extreme values ​​in the scattering intensity of the biopesticide particles, and calculate the degree of dispersion of all extreme values ​​in the current sampling cycle; The degree of dispersion is negatively correlated to obtain the fluctuation stability of the current sampling cycle.

3. A sampling device for detecting the content of biological pesticides according to claim 1, characterized in that: The step of analyzing the difference between each extreme difference value and the mean value of the scattering intensity corresponding to the scattering intensity of the biological pesticide particles to determine the scattering fluctuation difference includes: The absolute value of the difference between each extreme value and the mean value of the scattering intensity corresponding to the scattering intensity of the biopesticide particles is calculated as a single difference for each extreme value; The mean of the single differences corresponding to the scattering intensity of the biopesticide particles was taken as the scattering fluctuation difference.

4. A sampling device for detecting the content of biological pesticides according to claim 1, characterized in that: Determining the scattering intensity stability of the current sampling period according to the fluctuation stability and the scattering fluctuation difference includes: The product of the negative correlation mapping value of the scattering fluctuation difference and the fluctuation stability is taken as the scattering intensity stability of the current sampling period.

5. A sampling device for detecting the content of biological pesticides according to claim 1, characterized in that: The step of comparing the scattering intensity stability of the current sampling cycle with that of the historical sampling cycle to obtain the sampling frequency adjustment parameter of the next sampling cycle includes: For the historical sampling period, the scattering intensity stability of the historical sampling period is determined by combining the scattering intensity of the biopesticide particles in the historical sampling period and the fluctuation range of a single fluctuation period within the historical sampling period; Determine the first historical difference by comparing the scattering intensity stability of the current sampling period and the historical sampling period; Determine the second historical difference by comparing the mean of the scattering intensity of the current sampling period and the historical sampling period; The first historical difference and the second historical difference are combined to obtain the sampling frequency adjustment parameter of the next sampling cycle; wherein the historical sampling cycle is a standard sampling cycle determined from historical data.

6. A sampling device for detecting the content of biological pesticides according to claim 5, characterized in that: The determining of the first historical difference by comparing the scattering intensity stability of the current sampling period and the historical sampling period includes: The square of the difference between the scattering intensity stability of the current sampling period and the historical sampling period is used as the first historical difference degree.

7. A sampling device for detecting the content of biological pesticides according to claim 5, characterized in that: The combining the first historical difference and the second historical difference to obtain the sampling frequency adjustment parameter of the next sampling period includes: The arithmetic square root of the sum of the first historical difference and the second historical difference is normalized, and the normalized result value is used as the sampling frequency adjustment parameter.

8. A sampling device for detecting the content of biological pesticides according to claim 1, characterized in that: The step of determining the sampling frequency of the next sampling cycle by combining the sampling frequency adjustment parameter and the operating speed of the second motor of the sampling collection component comprises: Obtaining a sampling frequency corresponding to a minimum operating speed of a second motor of a sampling and acquisition component and a sampling frequency corresponding to an adjustable operating speed that can be adjusted; The product of the normalized sampling frequency adjustment parameter and the sampling frequency corresponding to the adjusted working speed is used as the sampling frequency adjustment value; The sum of the sampling frequency corresponding to the minimum operating speed and the sampling frequency adjustment value is used as the sampling frequency of the next sampling inspection cycle.

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