A method and system for monitoring dust concentration in a feed processing scenario

Abstract

This application relates to the technical field of dust concentration monitoring, and particularly to a dust concentration monitoring method and system in a feed processing scenario. The method includes: collecting the dust concentration and various environmental parameters at each preset position in the feed processing area at each moment, forming a dust concentration sequence and various environmental parameter sequences, and determining the environmental influence index of the dust concentration at each preset position at the current moment; determining the dust smoothness characteristic value at each preset position at the current moment by the prominence degree of all environmental parameters at each preset position at the current moment among all preset positions and the fluctuation degree of the dust concentration sequence at each preset position, and combining the environmental influence index; using the dust concentration and the dust smoothness characteristic value at each preset position at the current moment to monitor the dust concentration at the current moment. Thereby, the accuracy of dust concentration monitoring is improved.

Description

Technical Field

[0001] The present application relates to the technical field of dust concentration monitoring, and specifically to a dust concentration monitoring method and system 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 trends 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:

[0005] 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:

[0006] Collect the dust concentration and environmental parameters at each preset location in the feed processing area at each moment, and organize 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 respectively;

[0007] 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;

[0008] Determine the dust clearance characteristic value of each preset location at the current moment by combining the prominence of all environmental parameters of each preset location at the current moment among all preset locations and the fluctuation degree of the dust concentration sequence of each preset location with the environmental effect index;

[0009] The dust concentration at the current moment is monitored using the dust concentration and dust clearance characteristic value at each preset position at the current moment.

[0010] In one embodiment, the environmental parameters include temperature and humidity.

[0011] In one embodiment, determining the environmental effect index includes:

[0012] For each preset position at the current moment, calculate the mean value of the test statistic corresponding to all environmental parameter sequences, and calculate the sum value of the differences of the optimal lag periods corresponding to any two environmental parameter sequences.

[0013] Determine the environmental action index based on the mean value and the sum value, and the environmental action index is positively correlated with both the mean value and the sum value.

[0014] In one embodiment, calculate the product of the mean value and the sum value, and the environmental action index is the result of adding the product and a preset value greater than 0.

[0015] In one embodiment, the prominence degree is measured by the ratio of the average value of all elements in all environmental parameter sequences at each preset position at the current moment to the cumulative sum of the average values of all preset positions at the current moment.

[0016] 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.

[0017] In one embodiment, the determination of the dust passage characteristic value includes:

[0018] Obtain the multiplication result of the ratio and the interquartile range at each preset position at the current moment, fuse the multiplication results at all preset positions at the current moment, and combine with the environmental action index to obtain the dust passage characteristic value at each preset position at the current moment.

[0019] In one embodiment, the dust passage characteristic value is the product of the mean value of the multiplication results at all preset positions at the current moment and the environmental action index.

[0020] In one embodiment, the monitoring of the dust concentration at the current moment includes:

[0021] Preset a concentration threshold and a diffusion threshold. If the dust concentration at any preset position at the current moment is greater than or equal to the concentration threshold, and the normalized value of the dust passage characteristic value at the any preset position at the current moment is less than or equal to the diffusion threshold, give an early warning for the any preset position at the current moment, otherwise, do not give an early warning.

[0022] In a second aspect, the embodiments of the present application further provide 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 the method described in any one of the above are implemented.

[0023] The present application has at least the following beneficial effects:

[0024] In this application, by collecting the dust concentrations and various environmental parameters at each preset position and each moment in the feed processing area, the dust concentrations and various environmental parameters at all moments within a preset time period before the current moment at each preset position are respectively composed into corresponding dust concentration sequences and various environmental parameter sequences; analyze the causal relationship between each environmental parameter sequence and the dust concentration sequence to obtain the corresponding test statistic and the optimal lag period, and further determine the environmental action index of the dust concentration at each preset position at the current moment; the environmental action index reflects the comprehensive influence degree of environmental changes on the dust concentration during the feed processing. The larger the environmental action index, the more significant the combined influence of environmental factors on the dust concentration, which improves the accuracy of measuring the influence of environmental factors on the dust concentration; based on the prominence of all environmental parameters at each preset position at the current moment among all preset positions, and the fluctuation degree of the dust concentration sequence at each preset position, combined with the environmental action index, determine the dust flow-through characteristic value at each preset position at the current moment; the dust flow-through characteristic value reflects the influence degree of environmental changes on the dust concentration distribution and diffusion smoothness during the feed processing. The larger the dust flow-through 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, comprehensively and accurately measuring the fluctuation and diffusibility of the dust concentration, and improving the rationality of subsequent dust concentration monitoring; use the dust concentration and the dust flow-through characteristic value at each preset position at the current moment to monitor the dust concentration at the current moment, significantly improving the reliability and accuracy of dust concentration monitoring. Description of the Drawings

[0025] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0026] Figure 1 It is a step flowchart of a method for monitoring dust concentration in a feed processing scenario provided by an embodiment of the present application;

[0027] Figure 2 It is a flowchart for determining the dust flow-through characteristic value. Detailed Embodiments

[0028] In order to further elaborate on the technical means and effects adopted by the present application to achieve the intended invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation manner, structure, features and effects of a dust concentration monitoring method and system in a feed processing scenario proposed according to the present application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs.

[0030] The following specifically describes the specific solution of a dust concentration monitoring method and system in a feed processing scenario provided by the present application with reference to the accompanying drawings.

[0031] Please refer to 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 includes the following steps:

[0032] S1, collect the dust concentration and each environmental parameter at each preset position in the feed processing area at each moment, and respectively form corresponding dust concentration sequences and each environmental parameter sequence for all moments within a preset time period before the current moment at each preset position.

[0033] In this embodiment, the dust concentration and environmental parameters at different positions in the feed processing plant are collected. Specifically: First, obtain the key positions in the feed processing plant. The key positions selected in this embodiment are at each feeding port, each pulverizer, and the end position of each production line in the feed processing plant; the implementer can determine each key position according to the actual situation, and this embodiment does not limit it here.

[0034] In this embodiment, a dust concentration sensor, a temperature sensor, and a humidity sensor are installed at a height of 1.7 meters from the ground at each key position to collect the dust concentration, temperature, and humidity at each key position at each moment. Among them, since the height of 1.7 meters from the ground is close to the human height 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 of the sensor from the ground according to the actual situation; record each key position as a preset position, and record the temperature and humidity collected at each key position as environmental parameters. The dust concentration, temperature, and humidity are collected synchronously. In this embodiment, the collection frequency is 20HZ, and the implementer can set it according to the actual situation.

[0035] For each key position, normalize the dust concentration, temperature, and humidity at all times within a preset time period before the current time respectively to eliminate the influence of dimensions. The dust concentration sequence at the current time is composed of the dust concentrations at all times within the preset time period before the current time after normalization. The temperature sequence at the current time is composed of the temperatures at all times within the preset time period before the current time after normalization. The humidity sequence at the current time is composed of the humidities at all times within the preset time period before the current time after normalization. Among them, both the temperature sequence and the humidity sequence are denoted as environmental parameter sequences.

[0036] Thus, the dust concentration sequence, temperature sequence, and humidity sequence at each key position at the current time can be obtained. It should be noted that in this embodiment, the length of the preset time period 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 respectively is min-max normalization. The implementer can choose other existing feasible normalization methods by himself / herself, and this embodiment does not limit it here.

[0037] S2. Analyze the causal relationship between each environmental parameter sequence and the dust concentration sequence to obtain the corresponding test statistic and the optimal lag period, and further determine the environmental action index of the dust concentration at each preset position at the current time.

[0038] Environmental temperature and humidity have a significant impact on the distribution of dust. When the humidity increases, water molecules in the air combine with dust particles, increasing the weight of the dust and causing the dust particle settlement speed to accelerate, thereby reducing the suspension time of the dust. When the relative humidity is relatively high, the water vapor content in the air increases, and the dust particles become heavier due to adsorbing water, reducing their suspension time in the air and making the dust easier to settle. On the contrary, in a dry environment, the dust particles are lighter and easier to suspend in the air for a long time, increasing the risk of human inhalation. The increase in temperature will also enhance the upward trend of the particulate matter in the air, reduce the stability of the particulate matter, and make it easier to disperse.

[0039] During feed processing, the influence of temperature and humidity on the dust concentration has hysteresis, that is, the changes in environmental humidity and temperature will not be immediately reflected in the dust concentration, but there is a certain time delay. The increase in humidity will cause the dust particle weight to increase, the settlement speed to accelerate, and the suspension time to decrease, while the increase in temperature enhances the upward trend of the particulate matter and reduces the stability. These changes usually do not occur instantaneously but gradually appear after a period of time.

[0040] To analyze the lag correlation between temperature and humidity and their impact on dust concentration, in this embodiment, for each key position at the current moment, the dust concentration sequence and the temperature sequence are used as the inputs of the Granger causality algorithm, and the outputs are 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 inputs of the Granger causality algorithm, and the outputs are the F statistic of humidity on dust concentration and the optimal lag period. Herein, the F statistic is briefly denoted as the test statistic, and the Granger causality algorithm is a well-known existing technology, which will not be elaborated in detail in this embodiment.

[0041] Calculate the mean of all F statistics for each key position at the current moment, and calculate the sum of the differences of the corresponding optimal lag periods between all any two environmental parameter sequences. Since the environmental parameter sequences in this embodiment only include the temperature sequence and the humidity sequence, only the difference between the optimal lag period of temperature on dust concentration and the optimal lag period of humidity on dust concentration for each key position at the current moment is calculated. Based on the mean and the difference, determine the environmental action index of dust concentration for each key position at the current moment, where the environmental action index is positively correlated with both the mean and the difference.

[0042] It should be noted that the difference represents the degree of difference between two variables, and can be specifically calculated by means such as the absolute value of the difference, the square of the difference, and the ratio. Positive correlation means that the dependent variable increases as the independent variable increases, and the dependent variable decreases as the independent variable decreases.

[0043] The specific calculation method of the environmental action index of dust concentration for each key position at the current moment in this embodiment is as follows:

[0044] ; In the formula, A is the environmental action index of dust concentration for each key position at the current moment, a is the mean of all F statistics for each key position at the current moment, that is, calculate the mean of the F statistic of temperature on concentration and the F statistic of humidity on concentration, x is the optimal lag period of temperature on dust concentration for each key position at the current moment, y is the optimal lag period of humidity on dust concentration for each key position at the current moment, is a preset value greater than 0 to avoid the environmental action index being 0. In this embodiment, , which can be set by the implementer according to the actual situation and is not limited in this embodiment. is the said difference.

[0045] It should be understood that a reflects the intensity of the combined influence of environmental temperature and humidity changes on the dust concentration. The larger the value of a, the more significant the influence of environmental temperature and humidity on the dust concentration, and thus the larger A. x reflects the optimal time lag in the actual influence of temperature changes on the dust concentration, and y reflects the optimal time lag in the actual influence of humidity changes on the dust concentration. It represents the asynchrony of the influence of temperature and humidity on the dust concentration. The larger the value, the greater the time difference in the influence of temperature and humidity on the concentration, increasing the complexity of the influence of environmental factors on the dust concentration, and thus the larger A. The environmental action index describes the comprehensive influence degree of environmental temperature and humidity changes on the dust concentration during the feed processing process. The larger the environmental action index, the more significant the combined influence of environmental factors on the dust concentration.

[0046] S3. Based on the prominence of all environmental parameters at each preset position at the current moment among all preset positions, and the fluctuation degree of the dust concentration sequence at each preset position, combined with the environmental action index, determine the dust passage characteristic value at each preset position at the current moment.

[0047] In a feed processing factory, the temperature and humidity distributions at different key positions have a significant impact on the dust concentration. An environment with high temperature and low humidity will make the dust easier to suspend and diffuse, increasing the dust concentration. For example, during the granulation process, the material is heated to over 80°C and the moisture content reaches 30%. Under such environmental conditions, the pellet feed is prone to deformation and breakage, generating a large amount of dust. During the cooling process, the temperature and moisture of the pellet feed are reduced through the air-cooling process, which also generates cooling dust. The climate conditions at different positions, such as the differences in humidity and temperature, will affect the sedimentation speed and diffusion range of the dust. When the humidity is relatively high, the dust settles quickly and is not easy to diffuse; when the temperature is relatively high, the dust is easier to suspend and has a larger diffusion range.

[0048] From the above analysis, it can be seen that the temperature and humidity differences at different key positions have a great impact on the dust diffusion degree at that position. Therefore, analyze the temperature and humidity differences at different key positions, specifically: for each key position at the current moment, calculate the average value of all elements in the temperature sequence and the humidity sequence, calculate the sum of the accumulated values of the average values at all key positions at the current moment, and use the ratio of the average value at each key position at the current moment to the sum of the accumulated values as the relative intensity of the temperature and humidity at each key position at the current moment. Among them, the relative intensity reflects the prominence of all environmental parameters at each key position at the current moment among all key positions. Therefore, in this embodiment, the relative intensity is used to measure the prominence.

[0049] Since the generation and diffusion of dust are closely related to the air flow velocity, and the change of temperature and humidity will affect the density and fluidity of air, the dust concentration generated at the same position during the feed processing will fluctuate greatly due to environmental factors. To analyze the fluctuation of dust concentration, in this embodiment, the key positions are taken as the abscissa, and the dust concentration sequences at the key positions at the current moment are taken as the ordinate to construct a box plot, and the interquartile range of the dust concentration sequence at each key position is calculated to measure the fluctuation degree of the dust concentration sequence. Among them, the construction of the box plot is a well-known prior art, and the specific process will not be elaborated.

[0050] In other embodiments, the variance or standard deviation of the dust concentration sequence can be used to measure the fluctuation degree of the dust concentration sequence.

[0051] Based on the above analysis, the dust ventilation characteristic values at the key positions at the current moment are calculated. Specifically: obtain the multiplication result of the relative intensity and the interquartile range at each key position at the current moment, fuse the multiplication results at all key positions at the current moment, and combine the environmental action index to obtain the dust ventilation characteristic values at each key position at the current moment.

[0052] It should be noted that fusing means combining multiple variables, and specifically, calculations can be performed in ways such as addition, multiplication, averaging, and a combination of addition and multiplication.

[0053] In this embodiment, the calculation method of the dust ventilation characteristic values at each key position at the current moment is as follows:

[0054] ; where B is the dust ventilation characteristic value at each key position at the current moment, A is the environmental action index of the dust concentration at each key position at the current moment, is the relative intensity of the temperature and humidity at the kth key position at the current moment, is the interquartile range of the dust concentration sequence at the kth key position at the current moment, and K is the number of all key positions.

[0055] It should be understood that reflects the intensity of the temperature and humidity conditions at each key position relative to other positions, which directly affects the generation and diffusion of dust, The larger the value, the stronger the temperature and humidity conditions at the kth key position, and the more likely it is to cause changes and circulation of the dust concentration at the current position, and the larger B is; reflects the volatility of the dust concentration sequence, that is, the fluctuation range of the dust concentration at different moments, The larger the value, the greater the fluctuation of the dust concentration is reflected, and the smoother the diffusion of the dust concentration is, and the larger B is; A reflects the significance of the influence of environmental factors on the dust concentration. The larger the A value is, the stronger the combined influence of environmental factors on the dust concentration means.

[0056] The dust smoothness characteristic value describes the influence degree of the change of environmental temperature and humidity on the dust concentration distribution and diffusion smoothness during the feed processing. The larger the dust smoothness characteristic value is, the more significant the combined influence of environmental factors on the dust concentration during the feed processing means, the wider the fluctuation range of the dust concentration is, and the smoother the dust diffusion is. The flow chart for determining the dust smoothness characteristic value is as Figure 2 shown.

[0057] S4. Use the dust concentration and dust smoothness characteristic value at each key position at the current moment to monitor the dust concentration at the current moment.

[0058] Since the dust concentration is high at key positions during feed processing, such as at the production line, crusher and feeding port, and when the dust diffusion is not smooth, it will cause problems of dust accumulation and unsmooth diffusion, resulting in serious impacts on human health and even spontaneous combustion or explosion.

[0059] Therefore, in this embodiment, the dust concentration at the current moment is monitored by combining the dust concentration and dust smoothness characteristic value at each key position at the current moment. Specifically: preset a concentration threshold and a diffusion threshold. If the dust concentration at any key position at the current moment is greater than or equal to the concentration threshold, and the normalized value of the dust smoothness characteristic value at any key position at the current moment is less than or equal to the diffusion threshold, then give a warning for any preset position at the current moment, issue an alarm, and prompt the staff to take emergency measures to avoid the safety risks caused by dust accumulation due to too high dust concentration and untimely dust diffusion. Otherwise, no warning is given.

[0060] In this embodiment, the concentration threshold is 100 μg / m³, and the diffusion threshold is 0.3. The implementer can set it by himself according to the actual situation. This embodiment does not limit it here. The method for obtaining the normalized value of the dust smoothness characteristic value is to use the Sigmoid function. The implementer can choose other existing feasible normalization methods by himself. This embodiment does not limit it here.

[0061] Based on the same inventive concept as the above method, the 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, it implements the steps of any one of the above methods for monitoring the dust concentration in a feed processing scenario.

[0062] In summary, the present application collects the dust concentrations and various environmental parameters at each preset position and each moment in the feed processing area, and forms corresponding dust concentration sequences and various environmental parameter sequences for all moments within a preset time period before the current moment at each preset position; analyzes the causal relationship between each environmental parameter sequence and the dust concentration sequence to obtain 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 degree of environmental changes on the dust concentration during the feed processing, and the larger the environmental effect index, the more significant the combined influence of environmental factors on the dust concentration, improving the accuracy of measuring the influence of environmental factors on the dust concentration; determines the dust flow characteristics value at each preset position at the current moment by combining the prominence of all environmental parameters at each preset position at the current moment among all preset positions and the fluctuation degree of the dust concentration sequence at each preset position; the dust flow characteristics value reflects the influence degree of environmental changes on the dust concentration distribution and diffusion smoothness during the feed processing, and the larger the dust flow characteristics 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, comprehensively and accurately measuring the fluctuation and diffusibility of the dust concentration, and improving the rationality of subsequent dust concentration monitoring; monitors the dust concentration at the current moment by using the dust concentration and the dust flow characteristics value at each preset position at the current moment, significantly improving the reliability and accuracy of dust concentration monitoring.

[0063] It should be noted that the above order of the embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above describes specific embodiments of this specification. In addition, the processes depicted in the 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.

[0064] Each embodiment in this specification is described in a progressive manner, and the same or similar parts among the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0065] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present application shall 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 includes the following steps: Collect the dust concentration and each environmental parameter at each preset position and each moment in the feed processing area, and respectively form corresponding dust concentration sequences and each environmental parameter sequence for all moments within a preset time period before the current moment at each preset position; Analyze the causal relationship between each environmental parameter sequence and the dust concentration sequence to obtain the corresponding test statistic and the optimal lag period, and further determine the environmental action index of the dust concentration at each preset position at the current moment; Determine the dust ventilation characteristic value at each preset position at the current moment by combining the prominence degree of all environmental parameters at each preset position at the current moment among all preset positions and the fluctuation degree of the dust concentration sequence at each preset position, in combination with the environmental action index; Use the dust concentration and the dust ventilation characteristic value at each preset position at the current moment to monitor the dust concentration at the current moment; Among them, the prominence degree is measured by the ratio of the average value of all elements in all environmental parameter sequences at each preset position at the current moment to the sum of the average values of all preset positions at the current moment; The fluctuation degree is measured by the interquartile range of the dust concentration sequence at each preset position at the current moment; The determination of the dust ventilation characteristic value includes: Obtain the multiplication result of the ratio and the interquartile range at each preset position at the current moment, fuse the multiplication results at all preset positions at the current moment, and combine with the environmental action index to obtain the dust ventilation characteristic value at each preset position at the current moment; The determination of the environmental action index includes: For each preset position at the current moment, calculate the mean value of the test statistics corresponding to all environmental parameter sequences, and calculate the sum value of the differences in the corresponding optimal lag periods between all any two environmental parameter sequences; Determine the environmental action index based on the mean value and the sum value, and the environmental action index is positively correlated with both the mean value and the sum value; The dust ventilation characteristic value is the product of the mean value of the multiplication results at all preset positions at the current moment and the environmental action index.

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, Calculate the product of the mean value and the sum value, and the environmental action index is the result of adding the product and a preset value greater than 0.

4. The dust concentration monitoring method in a feed processing scenario according to claim 1, characterized in that, The monitoring of the dust concentration at the current moment includes: Preset a concentration threshold and a diffusion threshold. If the dust concentration at any preset position at the current moment is greater than or equal to the concentration threshold, and the normalized value of the dust ventilation characteristic value at the any preset position at the current moment is less than or equal to the diffusion threshold, give an alarm for the any preset position at the current moment, otherwise, do not give an alarm.

5. 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, it realizes the steps of the method according to any one of claims 1-4.

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