Dust concentration monitoring method and system in feed processing scene

Abstract

The invention relates to the technical field of dust concentration monitoring, in particular to a dust concentration monitoring method and system in a feed processing scenario, and the method comprises the steps: collecting dust concentrations and environment parameters of all preset positions at all moments in a feed processing area to form a dust concentration sequence and an environment parameter sequence; determining an environmental action index of the dust concentration at each preset position at the current moment; determining a dust smooth characteristic value of each preset position at the current moment according to the prominence degree of all the environmental parameters of each preset position at the current moment in all the preset positions and the fluctuation degree of the dust concentration sequence of each preset position in combination with the environmental action index; and monitoring the dust concentration at the current moment by utilizing the dust concentration and the dust smoothness characteristic value of each preset position at the current moment. Therefore, the accuracy of monitoring the dust concentration is improved.

Description

Technical Field

[0001] The present application relates to the technical field of dust concentration monitoring, and specifically to a method and system for monitoring dust concentration in a feed processing scenario. Background Art

[0002] The feed processing industry generates a large amount of dust during the production process. This dust not only pollutes the environment and poses a threat to the health of workers, but may also cause dust explosion accidents. Therefore, dust concentration monitoring is particularly important in feed processing scenarios.

[0003] At present, existing dust concentration monitoring often only monitors a single dust concentration. Changes in environmental factors will affect the suspension and explosiveness of dust, further leading to errors in dust concentration monitoring. At the same time, it also ignores the distribution of dust in different areas and its changing trend over time, resulting in low accuracy of dust concentration monitoring. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a dust concentration monitoring method and system in a feed processing scenario. The technical solutions adopted are as follows: In a first aspect, an embodiment of the present application provides a method for monitoring dust concentration in a feed processing scenario, the method comprising the following steps: Collect dust concentration and environmental parameters at each preset location in the feed processing area at each time, and form corresponding dust concentration sequences and environmental parameter sequences from the dust concentration and environmental parameters at all times in a preset time period before the current time at each preset location; Analyze the causal relationship between each environmental parameter sequence and the dust concentration sequence, obtain the corresponding test statistics and optimal lag period, and further determine the environmental effect index of the dust concentration at each preset location at the current moment; The dust clearance characteristic value of each preset position at the current moment is determined by combining the environmental effect index with the prominence degree of all environmental parameters of each preset position at the current moment among all preset positions and the fluctuation degree of the dust concentration sequence of each preset position; The dust concentration at the current moment is monitored by using the dust concentration and dust clearance characteristic value at each preset position at the current moment.

[0005] In one embodiment, the environmental parameters include temperature and humidity.

[0006] In one embodiment, the determination of the environmental effect index includes: For each preset position at the current moment, calculate the mean of the test statistics corresponding to all environmental parameter sequences, and calculate the sum of the differences of the optimal lag periods corresponding to all any two environmental parameter sequences; The environmental impact index is determined based on the mean value and the sum value, and the environmental impact index is positively correlated with both the mean value and the sum value.

[0007] In one embodiment, the product of the mean value and the sum value is calculated, and the environmental effect index is the sum of the product and a preset value greater than 0.

[0008] In one embodiment, the protrusion degree is measured by the ratio of the average value of all elements in the sequence of all environmental parameters of each preset position at the current moment to the cumulative sum of the average values ​​of all preset positions at the current moment.

[0009] In one embodiment, the fluctuation degree is measured by the interquartile range of the dust concentration sequence at each preset position at the current moment.

[0010] In one embodiment, the determination of the dust clearance characteristic value includes: The multiplication result of the ratio and the interquartile range of each preset position at the current moment is obtained, the multiplication results of all preset positions at the current moment are integrated, and the dust clearance characteristic value of each preset position at the current moment is obtained by combining the environmental effect index.

[0011] In one embodiment, the dust clearance characteristic value is the product of the average of the multiplication results of all preset positions at the current moment and the environmental effect index.

[0012] In one embodiment, monitoring the dust concentration at the current moment includes: Preset concentration threshold and diffusion threshold. If the dust concentration at any preset location at the current moment is greater than or equal to the concentration threshold, and the normalized value of the dust clearance characteristic value at any preset location at the current moment is less than or equal to the diffusion threshold, an early warning will be issued for any preset location at the current moment, otherwise, no early warning will be issued.

[0013] In the second aspect, an embodiment of the present application also provides a dust concentration monitoring system in a feed processing scenario, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0014] This application has at least the following beneficial effects: The present application collects dust concentration and environmental parameters at each preset position in the feed processing area at each moment, and respectively forms corresponding dust concentration sequences and environmental parameter sequences with the dust concentration and environmental parameters at all moments in a preset time period before the current moment of each preset position; analyzes the causal relationship between each environmental parameter sequence and the dust concentration sequence, obtains the corresponding test statistic and the optimal lag period, and further determines the environmental effect index of the dust concentration at each preset position at the current moment; the environmental effect index reflects the comprehensive impact of environmental changes on dust concentration during feed processing, and the larger the environmental effect index, the more significant the combined impact of environmental factors on dust concentration, thereby improving the accuracy of measuring the impact of environmental factors on dust concentration; by combining all environmental parameters at each preset position at the current moment in the The protrusion degree in the preset position and the fluctuation degree of the dust concentration sequence of each preset position are combined with the environmental action index to determine the dust unobstructed characteristic value of each preset position at the current moment; the dust unobstructed characteristic value reflects the influence of environmental changes on the dust concentration distribution and diffusion unobstructedness during the feed processing. The larger the dust unobstructed characteristic value, the more significant the combined influence of environmental factors on the dust concentration during the feed processing, the wider the fluctuation range of the dust concentration, and the smoother the dust diffusion. It comprehensively and accurately measures the fluctuation and diffusion of the dust concentration, and improves the rationality of subsequent dust concentration monitoring; the dust concentration at the current moment is monitored by using the dust concentration and dust unobstructed characteristic value of each preset position at the current moment, which significantly improves the reliability and accuracy of dust concentration monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 A flowchart of a method for monitoring dust concentration in a feed processing scenario provided in one embodiment of the present application; Figure 2 Flowchart for determination of characteristic values ​​for dust clearance. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by this application to achieve the predetermined invention purpose, the following is a detailed description of the dust concentration monitoring method and system in a feed processing scenario proposed by this application, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0019] The following is a detailed description of a dust concentration monitoring method and system for a feed processing scenario provided by the present application with reference to the accompanying drawings.

[0020] See also Figure 1 , which shows a step flow chart of a dust concentration monitoring method in a feed processing scenario provided by an embodiment of the present application, the method comprising the following steps: S1, collecting dust concentration and environmental parameters at each preset location in the feed processing area at each moment, and combining the dust concentration and environmental parameters at all moments in a preset time period before the current moment at each preset location into corresponding dust concentration sequences and environmental parameter sequences.

[0021] This embodiment collects dust concentrations and environmental parameters at different locations in the feed processing plant. Specifically, first, the key locations in the feed processing plant are obtained. The key locations selected in this embodiment are each feeding port, each grinder, and the end position of each production line in the feed processing plant. The implementer can determine each key location according to the actual situation, and this embodiment does not limit it.

[0022] In this embodiment, dust concentration sensors, temperature sensors, and humidity sensors are installed at each key position 1.7 meters above the ground to collect dust concentration, temperature, and humidity at each key position at each moment. Among them, since the distance of 1.7 meters from the ground is close to the height of the human body and close to the human breathing area, it is more practical to monitor the dust concentration at this position. The implementer can set the distance between the sensor and the ground according to the actual situation; each key position is recorded as a preset position, and the temperature and humidity collected at each key position are recorded as environmental parameters. Dust concentration, temperature, and humidity are all collected synchronously. In this embodiment, the collection frequency is 20HZ, which can be set by the implementer according to the actual situation.

[0023] For each key position, the dust concentration, temperature, and humidity at all times within the preset time period before the current moment are normalized to eliminate the influence of the dimension. The normalized dust concentrations at all times within the preset time period before the current moment constitute the dust concentration sequence at the current moment, the normalized temperatures at all times within the preset time period before the current moment constitute the temperature sequence at the current moment, and the normalized humidity at all times within the preset time period before the current moment constitute the humidity sequence at the current moment, wherein the temperature sequence and the humidity sequence are both recorded as environmental parameter sequences.

[0024] At this point, the dust concentration sequence, temperature sequence, and humidity sequence of each key position at the current moment can be obtained; it should be noted that the length of the preset time period in this embodiment is 30 minutes, and the implementer can set it according to the actual situation. The normalization method used for normalizing the dust concentration, temperature, and humidity is minimum-maximum value normalization. The implementer can choose other existing feasible normalization methods, and this embodiment does not limit it here.

[0025] S2, analyze the causal relationship between each environmental parameter sequence and the dust concentration sequence, obtain the corresponding test statistics and the optimal lag period, and further determine the environmental effect index of the dust concentration at each preset location at the current moment.

[0026] Ambient temperature and humidity have a significant impact on the distribution of dust. When humidity increases, water molecules in the air combine with dust particles, increasing the weight of the dust, causing the dust particles to settle faster, thereby reducing the suspension time of the dust. When relative humidity is high, the water vapor content in the air increases, and the dust particles become heavier due to the adsorption of moisture, reducing their suspension time in the air, making the dust easier to settle. On the contrary, in a dry environment, dust particles are lighter and more likely to stay suspended in the air for a long time, increasing the risk of human inhalation. Rising temperatures will also increase the upward trend of particles in the air, reducing the stability of particles and making them easier to diffuse.

[0027] During feed processing, the effects of temperature and humidity on dust concentration have a lag, that is, changes in ambient humidity and temperature will not be immediately reflected in the dust concentration, but there is a certain time delay. An increase in humidity will cause the weight of dust particles to increase, the sedimentation rate to accelerate, and the suspension time to decrease, while an increase in temperature will enhance the upward trend of particles and reduce stability. These changes usually do not occur instantaneously, but gradually appear after a period of time.

[0028] In order to analyze the lagged correlation of the influence of temperature and humidity on dust concentration, this embodiment uses the dust concentration sequence and the temperature sequence as the input of the Granger causality algorithm for each key position at the current moment, and outputs the F statistic of temperature on dust concentration and the optimal lag period. Correspondingly, the dust concentration sequence and the humidity sequence are used as the input of the Granger causality algorithm, and the output is the F statistic of humidity on dust concentration and the optimal lag period, where the F statistic is simply referred to as the test statistic. The Granger causality algorithm is an existing well-known technology and is not described in detail in this embodiment.

[0029] Calculate the mean of all F statistics at each critical position at the current moment, calculate the sum of the differences in the optimal lag periods corresponding to all any two environmental parameter sequences, and since the environmental parameter sequence in this embodiment only includes the temperature sequence and the humidity sequence, only the difference in the optimal lag period corresponding to the temperature for the dust concentration at each critical position at the current moment and the optimal lag period corresponding to the humidity for the dust concentration are calculated, and determine the environmental effect index of the dust concentration at each critical position at the current moment based on the mean and the difference, wherein the environmental effect index is positively correlated with the mean and the difference.

[0030] It should be noted that the difference indicates the degree of difference between two variables, which can be calculated by the absolute value of the difference, the square of the difference, the ratio, etc. A positive correlation means that the dependent variable will increase as the independent variable increases, and the dependent variable will decrease as the independent variable decreases.

[0031] In this embodiment, the specific calculation method of the environmental effect index of dust concentration at each key position at the current moment is: ; In the formula, A is the environmental effect index of dust concentration at each key position at the current moment, a is the mean of all F statistics at each key position at the current moment, that is, the mean of the F statistics of temperature on concentration and the F statistics of humidity on concentration, x is the optimal lag period corresponding to the temperature of each key position at the current moment and the dust concentration, y is the optimal lag period corresponding to the humidity of each key position at the current moment, A value greater than 0 is preset to avoid the environmental effect index being 0. , the implementer can set it according to the actual situation, and this embodiment does not limit it here. for the said difference.

[0032] It should be understood that a reflects the intensity of the combined impact of ambient temperature and humidity changes on dust concentration. The larger the a value, the more significant the impact of ambient temperature and humidity on dust concentration, and thus the larger A; x reflects the optimal time lag of the actual impact of temperature changes on dust concentration, and y reflects the optimal time lag of the actual impact of humidity changes on dust concentration. It shows the asynchronous effect of temperature and humidity on dust concentration. The larger the value, the greater the time difference of the influence of temperature and humidity on the concentration, which increases the complexity of the influence of environmental factors on dust concentration, and the larger A is. The environmental effect index describes the comprehensive influence of changes in ambient temperature and humidity on dust concentration during feed processing. The larger the environmental effect index, the more significant the combined influence of environmental factors on dust concentration.

[0033] S3, determining the dust clearance characteristic value of each preset position at the current moment through the prominence of all environmental parameters of each preset position at the current moment among all preset positions, and the fluctuation degree of the dust concentration sequence of each preset position, combined with the environmental action index.

[0034] In feed processing plants, the temperature and humidity distribution at different key locations have a significant impact on dust concentration. High temperature and low humidity environments make dust more easily suspended and diffused, increasing dust concentration. For example, during the granulation process, the material is heated to above 80°C and the moisture content reaches 30%. Under such environmental conditions, the pellets are easily deformed and broken, generating a large amount of dust. During the cooling process, the temperature and moisture of the pellets are reduced through air cooling, which also generates cooling dust. Climatic conditions at different locations, such as differences in humidity and temperature, affect the settling rate and diffusion range of dust. When the humidity is high, the dust settles quickly and is not easy to diffuse; when the temperature is high, the dust is more easily suspended and has a wider diffusion range.

[0035] From the above analysis, it can be seen that the temperature and humidity differences at different critical positions have a great influence on the degree of dust diffusion at the position. Therefore, the temperature and humidity differences at different critical positions are analyzed, specifically: for each critical position at the current moment, the average values ​​of all elements in the temperature sequence and the humidity sequence are calculated, the cumulative sum of the average values ​​of all critical positions at the current moment is calculated, and the ratio of the average value of each critical position at the current moment to the cumulative sum is used as the relative intensity of the temperature and humidity of each critical position at the current moment, wherein the relative intensity reflects the prominence of all environmental parameters of each critical position at the current moment among all critical positions. Therefore, this embodiment uses the relative intensity to measure the prominence.

[0036] Since the generation and diffusion of dust are closely related to the air flow rate, and changes in temperature and humidity will affect the density and fluidity of the air, the dust concentration generated at the same position during feed processing will fluctuate greatly due to environmental factors. In order to analyze the fluctuation of dust concentration, this embodiment uses each key position as the horizontal coordinate and the dust concentration sequence of each key position at the current moment as the vertical coordinate to construct a box plot, calculate the interquartile range of the dust concentration sequence at each key position, and measure the fluctuation degree of the dust concentration sequence. Among them, the construction of the box plot is an existing well-known technology, and the specific process is not repeated here.

[0037] In other embodiments, the variance or standard deviation of the dust concentration sequence may be used to measure the degree of fluctuation of the dust concentration sequence.

[0038] Based on the above analysis, the dust clearance characteristic value of each critical position at the current moment is calculated, specifically: obtain the multiplication result of the relative intensity of each critical position at the current moment and the interquartile range, fuse the multiplication results of all critical positions at the current moment, and combine with the environmental effect index to obtain the dust clearance characteristic value of each critical position at the current moment.

[0039] It should be noted that fusion means combining multiple variables, which can be calculated by addition, multiplication, averaging, or a combination of addition and multiplication.

[0040] In this embodiment, the calculation method of the dust clearance characteristic value of each key position at the current moment is: ; In the formula, B is the dust clearance characteristic value of each key position at the current moment, A is the environmental effect index of dust concentration at each key position at the current moment, is the relative intensity of temperature and humidity at the kth key position at the current moment, is the interquartile range of the dust concentration sequence at the kth critical position at the current moment, and K is the number of all critical positions.

[0041] It should be understood that It reflects the intensity of temperature and humidity conditions at key locations relative to other locations, which directly affects the generation and spread of dust. The larger the value, the stronger the temperature and humidity conditions at the kth critical position are, which is more likely to cause the dust concentration to change and circulate at the current position. The larger B is; It reflects the volatility of the dust concentration sequence, that is, the fluctuation range of dust concentration at different times. The larger the value, the greater the dust concentration fluctuation, the smoother the dust concentration diffusion, and the larger B; A reflects the significance of the impact of environmental factors on dust concentration. The larger the A value, the stronger the combined impact of environmental factors on dust concentration.

[0042] The dust patency characteristic value describes the influence of changes in ambient temperature and humidity on dust concentration distribution and diffusion patency during feed processing. The larger the dust patency characteristic value, the more significant the combined influence of environmental factors on dust concentration during feed processing, the wider the fluctuation range of dust concentration, and the smoother the dust diffusion. The dust patency characteristic value determination flow chart is as follows: Figure 2 shown.

[0043] S4, using the dust concentration and dust clearance characteristic value of each key position at the current moment, the dust concentration at the current moment is monitored.

[0044] Due to the high dust concentration in key positions during feed processing, such as production lines, grinders and feed ports, and the lack of dust diffusion, dust accumulation and poor diffusion will occur, leading to serious impacts on human health and even spontaneous combustion or explosion.

[0045] Therefore, this embodiment combines the dust concentration and dust free characteristic value of each critical position at the current moment to monitor the dust concentration at the current moment, specifically: preset concentration threshold and diffusion threshold, if the dust concentration at any critical position at the current moment is greater than or equal to the concentration threshold, and the normalized value of the dust free characteristic value of any critical position at the current moment is less than or equal to the diffusion threshold, then any preset position at the current moment is warned, and an alarm is issued to prompt the staff to take emergency measures to avoid safety risks caused by dust accumulation due to excessive dust concentration and untimely dust diffusion, otherwise, no warning is issued.

[0046] In this embodiment, the concentration threshold is 100 μg / m³, and the diffusion threshold is 0.3. The implementer can set it according to the actual situation. This embodiment does not limit it here. The method for obtaining the normalized value of the dust clearance characteristic value is to use the Sigmoid function. The implementer can choose other existing feasible normalization methods. This embodiment does not limit it here.

[0047] Based on the same inventive concept as the above method, an embodiment of the present application also provides a dust concentration monitoring system in a feed processing scenario, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned dust concentration monitoring methods in a feed processing scenario are implemented.

[0048] In summary, the present application collects the dust concentration and environmental parameters at each preset position in the feed processing area at each moment, and combines the dust concentration and environmental parameters at all moments in the preset time period before the current moment of each preset position into corresponding dust concentration sequences and environmental parameter sequences respectively; analyzes the causal relationship between each environmental parameter sequence and the dust concentration sequence, obtains the corresponding test statistic and the optimal lag period, and further determines the environmental effect index of the dust concentration at each preset position at the current moment; the environmental effect index reflects the comprehensive influence of environmental changes on the dust concentration during the feed processing process, and the larger the environmental effect index, the more significant the joint influence of environmental factors on the dust concentration, thereby improving the accuracy of measuring the influence of environmental factors on the dust concentration; through all the environmental parameters at each preset position at the current moment The prominence degree among all preset positions and the fluctuation degree of the dust concentration sequence of each preset position are combined with the environmental action index to determine the dust unobstructed characteristic value of each preset position at the current moment; the dust unobstructed characteristic value reflects the influence of environmental changes on the dust concentration distribution and diffusion unobstructedness during the feed processing. The larger the dust unobstructed characteristic value, the more significant the combined influence of environmental factors on the dust concentration during the feed processing, the wider the fluctuation range of the dust concentration, and the smoother the dust diffusion. It comprehensively and accurately measures the fluctuation and diffusion of the dust concentration, and improves the rationality of subsequent dust concentration monitoring; the dust concentration at the current moment is monitored by using the dust concentration and dust unobstructed characteristic value of each preset position at the current moment, which significantly improves the reliability and accuracy of dust concentration monitoring.

[0049] It should be noted that the above sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above is a description of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0050] 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.

[0051] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for monitoring dust concentration in a feed processing scenario, characterized in that: The method comprises the following steps: Collect dust concentration and environmental parameters at each preset location in the feed processing area at each time, and form corresponding dust concentration sequences and environmental parameter sequences from the dust concentration and environmental parameters at all times in a preset time period before the current time at each preset location; Analyze the causal relationship between each environmental parameter sequence and the dust concentration sequence, obtain the corresponding test statistics and optimal lag period, and further determine the environmental effect index of the dust concentration at each preset location at the current moment; The dust clearance characteristic value of each preset position at the current moment is determined by combining the environmental effect index with the prominence degree of all environmental parameters of each preset position at the current moment among all preset positions and the fluctuation degree of the dust concentration sequence of each preset position; The dust concentration at the current moment is monitored by using the dust concentration and dust clearance characteristic value at each preset position at the current moment.

2. The dust concentration monitoring method in a feed processing scenario according to claim 1, characterized in that: The environmental parameters include temperature and humidity.

3. The dust concentration monitoring method in a feed processing scenario according to claim 1, characterized in that: The determination of the environmental effect index includes: For each preset position at the current moment, calculate the mean of the test statistics corresponding to all environmental parameter sequences, and calculate the sum of the differences of the optimal lag periods corresponding to all any two environmental parameter sequences; The environmental impact index is determined based on the mean value and the sum value, and the environmental impact index is positively correlated with both the mean value and the sum value.

4. The dust concentration monitoring method in a feed processing scenario according to claim 3, characterized in that: The product of the mean value and the sum value is calculated, and the environmental effect index is the sum of the product and a preset value greater than 0.

5. The method for monitoring dust concentration in a feed processing scenario according to claim 1, characterized in that: The prominence degree is measured by the ratio of the average value of all elements in the sequence of all environmental parameters of each preset position at the current moment to the cumulative sum of the average values ​​of all preset positions at the current moment.

6. The method for monitoring dust concentration in a feed processing scenario according to claim 5, characterized in that: The degree of fluctuation is measured by the interquartile range of the dust concentration sequence at each preset position at the current moment.

7. The method for monitoring dust concentration in a feed processing scenario according to claim 6, characterized in that: Determination of the dust clearance characteristic value includes: The multiplication result of the ratio and the interquartile range of each preset position at the current moment is obtained, the multiplication results of all preset positions at the current moment are integrated, and the dust clearance characteristic value of each preset position at the current moment is obtained by combining the environmental effect index.

8. The method for monitoring dust concentration in a feed processing scenario according to claim 7, characterized in that: The dust clearance characteristic value is the product of the mean of the multiplication results of all preset positions at the current moment and the environmental effect index.

9. The method for monitoring dust concentration in a feed processing scenario according to claim 1, characterized in that: The monitoring of the dust concentration at the current moment includes: Preset concentration threshold and diffusion threshold. If the dust concentration at any preset location at the current moment is greater than or equal to the concentration threshold, and the normalized value of the dust clearance characteristic value at any preset location at the current moment is less than or equal to the diffusion threshold, an early warning will be issued for any preset location at the current moment, otherwise, no early warning will be issued.

10. A dust concentration monitoring system in a feed processing scenario, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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