Industrial dust removal control system, equipment and device based on dust sensor

Abstract

The present application relates to the field of dust cleaning and dust removal technology, and specifically to industrial dust removal control systems, equipment and devices based on dust sensors, including: a dust box chamber data acquisition module, which obtains the dust concentration at the inlet and outlet of the dust box chamber and the internal and external pressure difference data, and a dust data analysis module, which constructs a pressure difference growth coefficient; for the inlet and outlet concentration sequences, the stationary coefficients of the inlet and outlet concentration sequences are obtained respectively; the inlet and outlet difference coefficients of the dust box chamber and the pressure difference concentration-independent index are constructed, and the dust cleaning confidence of the dust box chamber is obtained by combining the pressure difference growth coefficient, the stationary coefficient of the outlet concentration sequence and the inlet and outlet difference coefficient; a dust cleaning evaluation module, which evaluates whether to clean the filter bags of the dust box chamber according to the dust cleaning confidence of the dust box chamber. The present application can accurately monitor the cleaning status of the filter bags in the dust box chamber and improve the dust removal effect of the dust box chamber.

Description

Technical Field

[0001] The present application relates to the technical field of dust cleaning and dust removal, and in particular to industrial dust removal control systems, equipment and devices based on dust sensors. Background Art

[0002] In industrial production, dust emission is an issue that cannot be ignored. It not only affects the quality of the environment, but also causes damage to production personnel and equipment. Bag dust collectors, as a common industrial dust removal equipment, are widely used in various industrial occasions due to their high efficiency and stable dust removal effect. The filter bag is the core part of the bag dust collector and is responsible for filtering dust particles in the air. If the filter bag accumulates too much dust, the filtration resistance will increase, which will seriously affect the filtration wind speed and dust removal efficiency. Therefore, it is necessary to clean the filter bag to maintain a good dust removal effect of the bag dust collector. However, frequent cleaning will not only cause greater wear on the filter bag, shorten the number of times the filter bag is used, but also cause energy waste; if the cleaning is not timely, the equipment will run at high load, affecting the dust removal effect and reducing the dust removal efficiency.

[0003] Existing cleaning technologies usually rely only on constant pressure difference control, which is simple and easy to use, but difficult to adapt to different working conditions. For example, the pressure difference may increase due to temperature changes and air flow fluctuations, so frequent cleaning is required; or when the dust concentration is low, the resistance rises slowly, which will lead to untimely cleaning and poor cleaning control, thus affecting the subsequent dust removal effect. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide an industrial dust removal control system, equipment and device based on a dust sensor. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides an industrial dust removal control system based on a dust sensor, comprising:

[0006] The dust removal chamber data acquisition module obtains the dust concentration at the inlet and outlet of the dust removal chamber and the internal and external pressure difference data at each acquisition time to form an inlet concentration sequence, an outlet concentration sequence and a pressure difference sequence respectively;

[0007] The dust data analysis module analyzes the mutation degree and distribution characteristics of the peak and valley values ​​in the pressure difference sequence, and constructs the pressure difference growth coefficient of the pressure difference sequence in combination with the change of the pressure difference data in the pressure difference sequence; for the inlet and outlet concentration sequences, the stationary coefficients of the inlet and outlet concentration sequences are obtained according to the fluctuation degree of the peak value, the fluctuation degree of the valley value and the fluctuation degree of the dust concentration in the sequence, respectively, in combination with the change of the dust concentration in the sequence; the inlet and outlet difference coefficient of the dust removal chamber is constructed according to the difference in the stationary coefficients between the inlet and outlet concentration sequences and the correlation between the inlet and outlet concentration sequences; based on the difference between the pressure difference sequence and the outlet concentration sequence, and the data discreteness of the outlet concentration sequence, a pressure difference concentration-independent index is constructed, and the cleaning confidence of the dust removal chamber is obtained by combining the pressure difference growth coefficient of the pressure difference sequence, the stationary coefficient of the outlet concentration sequence and the inlet and outlet difference coefficient of the dust removal chamber;

[0008] A dust cleaning evaluation module evaluates whether to clean the filter bags in the dust removal chamber according to the dust cleaning confidence of the dust removal chamber;

[0009] The expression of the dust cleaning confidence of the dust removal box chamber is:

[0010] ; In the formula, G is the dust cleaning confidence of the dust removal box chamber; A is the pressure difference growth coefficient of the pressure difference sequence; is the stationary coefficient of the outlet concentration sequence; F is the inlet and outlet difference coefficient of the dust removal chamber; It is an index independent of pressure difference concentration.

[0011] Preferably, the expression of the pressure difference growth coefficient of the pressure difference sequence is:

[0012] ; In the formula, A is the pressure difference growth coefficient of the pressure difference sequence; e is a natural constant; Z is the oscillation index of the pressure difference sequence, and the oscillation index is constructed by the sudden changes in the peak and valley values ​​in the pressure difference sequence; S is the rising index of the pressure difference sequence, where a straight line is fitted to the pressure difference sequence, and the slope of the fitted straight line is the rising index of the pressure difference sequence.

[0013] Preferably, the process of constructing the oscillation index of the pressure difference sequence is:

[0014] Calculate the absolute difference between each peak value of the pressure difference sequence and its previous pressure difference, perform threshold segmentation on the absolute differences corresponding to all peak values, record the peak values ​​corresponding to the absolute differences greater than the segmentation threshold as significant peak values, and accordingly extract significant valley values;

[0015] Windows are constructed with each significant peak and significant valley as the center data, and the sliding T test algorithm is used to obtain the T statistic corresponding to the window. The absolute value of the T statistic is used as the mutation index of the window center data, and the average of the mean of the mutation index of all significant peaks in the pressure difference sequence and the mean of the mutation index of all significant valleys is used as the oscillation index of the pressure difference sequence.

[0016] Preferably, the expression of the stationary coefficient of the inlet and outlet concentration series is:

[0017] ; In the formula, is the stationary coefficient of the outlet concentration sequence; b is the product of the fluctuation coefficient of the outlet concentration sequence and the range of the outlet concentration sequence, where the average of the variance of all peak values ​​of the outlet concentration sequence, the variance of all valley values ​​and the variance of all outlet dust concentrations is taken as the fluctuation coefficient; k is the rising index of the outlet concentration sequence; w is the rank difference distance of the outlet concentration sequence.

[0018] Preferably, the acquisition of the position difference distance of the outlet concentration sequence further includes:

[0019] The outlet concentration sequence is divided into multiple subsequences, and each subsequence is marked in turn. The mark values ​​of each subsequence are arranged in ascending order to form a mark sequence, where the mark value of the i-th subsequence is i;

[0020] The tag values ​​of each subsequence are arranged in ascending order according to the ascending index. The sequence recomposed by the tag values ​​of each subsequence after sorting is recorded as the sorted sequence, and the DTW distance between the sorted sequence and the tag sequence is taken as the position difference distance.

[0021] Preferably, the expression of the inlet and outlet difference coefficient of the dust removal box chamber is:

[0022] ; In the formula, F is the difference coefficient of the inlet and outlet of the dust removal chamber; B is the absolute difference of the stationary coefficient between the outlet concentration sequence and the inlet concentration sequence; C is the absolute difference of the element mean between the outlet concentration sequence and the inlet concentration sequence; p is the absolute value of the Pearson similarity coefficient between the outlet concentration sequence and the inlet concentration sequence; To avoid constants with denominators equal to 0.

[0023] Preferably, the expression of the pressure difference concentration-independent index is: ; In the formula, is the pressure difference concentration-independent index; D is the DTW between the pressure difference series and the outlet concentration series; is the variance of the outlet concentration series; To avoid constants with denominators equal to 0.

[0024] In the second aspect, an embodiment of the present application provides an industrial dust removal control device based on a dust sensor, the system comprising a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, it implements any one of the processes of the above-mentioned industrial dust removal control system based on the dust sensor.

[0025] In a third aspect, an embodiment of the present application provides an industrial dust removal control device based on a dust sensor, wherein a computer program is stored in the device, and when the computer program is executed by a processor, the process of implementing any one of the above-mentioned industrial dust removal control systems based on a dust sensor is implemented.

[0026] From the above, it can be seen that the present application has the following beneficial effects:

[0027] This application takes into account the impact of filter bag blockage on pressure difference oscillation, and by constructing a pressure difference growth coefficient, it realizes the evaluation of the oscillation degree of the pressure difference at different time periods; then by constructing a stability coefficient, it evaluates the stability of the dust concentration in the exhaust air to reflect the stability of the filtration; then by analyzing the relevant changes and differences in the dust concentration in the air at the inlet and outlet of the dust removal box chamber, the inlet and outlet difference coefficient is constructed to achieve a further evaluation of the filtration effect of the dust removal box chamber; finally, by combining the relevant change relationship between the pressure difference and the outlet concentration, the dust cleaning confidence is constructed, so as to comprehensively evaluate the filter bag blockage situation;

[0028] In order to address the problem that the existing cleaning system only relies on constant pressure difference control and cannot dynamically adapt to the working conditions, resulting in poor cleaning control effect, this application constructs a cleaning confidence level and combines dust concentration and pressure difference data to comprehensively reflect the blockage status of the filter bag, thereby improving the cleaning control of the filter bag and improving the dust removal effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] 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.

[0030] Figure 1 A block diagram of an industrial dust removal control system based on a dust sensor provided in one embodiment of the present application;

[0031] Figure 2 A schematic diagram of data collection for a dust removal chamber provided in one embodiment of the present application, number 1 is a dust sensor, number 2 is a pressure sensor, number 3 is a flower plate, number 4 is a filter cartridge, number 5 is a filter bag, number 6 is a chamber, number 7 is an exhaust pipe, and number 8 is an air inlet pipe;

[0032] Figure 3 A dust removal box chamber cleaning control flow chart is provided for one embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the industrial dust removal control system, equipment and device based on the dust sensor proposed in the present application, its specific implementation, structure, features and effects are described in detail as follows 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.

[0034] Unless otherwise specified and limited, terms such as "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or 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 articles or devices. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the article or device including the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of this application.

[0035] The specific scheme of the industrial dust removal control system, equipment and device based on dust sensor provided by the present application is described in detail below with reference to the accompanying drawings.

[0036] First, see Figure 1 , which shows a block diagram of an industrial dust removal control system based on a dust sensor provided by an embodiment of the present application, including: a dust removal chamber data acquisition module, a dust data analysis module, a dust cleaning evaluation module and a call signal transmission module. The specific implementation process is as follows:

[0037] The dust removal chamber data acquisition module obtains the dust concentration at the inlet and outlet of the dust removal chamber and the internal and external pressure difference data at each acquisition time to form an inlet concentration sequence, an outlet concentration sequence and a pressure difference sequence respectively.

[0038] In this embodiment, relevant data of the dust removal box chamber is obtained through the data acquisition system, and the sensor positions in the data acquisition system and the data acquisition method are as follows: dust sensors are respectively placed at the air inlet duct and the exhaust duct of the dust removal box chamber to obtain the inhaled dust concentration and the dust concentration after filtration of the dust removal box chamber; at the same time, pressure sensors are respectively placed on the upper and lower positions of the flower plate on the top of the dust removal box chamber to obtain the pressure data inside and outside the dust removal box chamber, and the absolute difference between the internal and external pressure data at the same time is recorded as the pressure difference data at the current time.

[0039] In this embodiment, the interval of data collection is 5 seconds, and each collection time is 5 hours. The various types of data collected are arranged in the order of collection time to construct the inlet concentration sequence, outlet concentration sequence, and pressure difference sequence. Furthermore, in this embodiment, in order to eliminate the dimensional influence between the data, all types of data are normalized. In this embodiment, the Z-score normalization method is used for processing. The specific normalization process is an existing well-known technology and will not be repeated in this embodiment. The schematic diagram of the data collection architecture is shown in FIG. Figure 2 As shown, Figure 2 Among them, number 1 is a dust sensor, number 2 is a pressure sensor, number 3 is a flower plate, number 4 is a filter cartridge, number 5 is a filter bag, number 6 is a box chamber, number 7 is an exhaust duct, and number 8 is an air inlet duct.

[0040] The dust data analysis module analyzes the mutation degree and distribution characteristics of the peak and valley values ​​in the pressure difference sequence, and constructs the pressure difference growth coefficient of the pressure difference sequence in combination with the changes in the pressure difference data in the pressure difference sequence; for the inlet and outlet concentration sequences, the stationary coefficients of the inlet and outlet concentration sequences are obtained according to the fluctuation degree of the peak value, the fluctuation degree of the valley value and the fluctuation degree of the dust concentration in the sequence, respectively, in combination with the changes in the dust concentration in the sequence; the inlet and outlet difference coefficient of the dust removal chamber is constructed according to the difference in the stationary coefficients between the inlet and outlet concentration sequences and the correlation between the inlet and outlet concentration sequences; based on the difference between the pressure difference sequence and the outlet concentration sequence, and the data discreteness of the outlet concentration sequence, a pressure difference concentration independent index is constructed, and the cleaning confidence of the dust removal chamber is obtained by combining the pressure difference growth coefficient of the pressure difference sequence, the stationary coefficient of the outlet concentration sequence and the inlet and outlet difference coefficient of the dust removal chamber.

[0041] When a large amount of dust accumulates on the surface of the filter bag, the pores of the filter bag are blocked, the filtration area is reduced, and the resistance of the airflow through the filter bag increases, thereby reducing the filtration efficiency. At this time, there is a large amount of dust inside the air in the dust removal box, which causes the pressure difference to increase. At the same time, some fine dust particles will penetrate the filter material and overflow under the action of the pressure difference, which is the extrusion phenomenon, thereby increasing the dust concentration in the discharged air.

[0042] When the dust accumulates to a certain extent on the surface of the filter bag, the accumulated dust will fall into the ash hopper. After the dust falls, the resistance decreases, the dust removal efficiency increases, and the pressure difference decreases; but since the dust does not always fall, the pressure difference data shows an oscillating upward trend over time. At the same time, the dust accumulation on the surface of the filter bag will cause uneven airflow distribution, making the filtration of different areas of the filter bag inconsistent, resulting in poor filtration effects in some areas and increasing the overall dust concentration of the emission. If the dust continues to accumulate and forms a thick dust layer, even if the subsequent accumulated dust will continue to fall, since the dust layer has been formed and the filtering airflow is small, the pressure difference will also decrease, but the degree of decrease will be smaller than before the dust layer is formed. Therefore, the thickness of the dust on the surface of the filter bag can be reflected by calculating the difference in the degree of oscillation of the pressure difference sequence at different time periods, and further judging whether the dust cleaning operation is needed.

[0043] In this embodiment, all the peak values ​​and valley values ​​in the pressure difference sequence are obtained through the peak and valley detection algorithm. Considering that the dust sucked in and filtered in the dust collector room is always fluctuating, the pressure difference sequence will also be fluctuating, and more peak values ​​and valley values ​​will be detected. Therefore, it is necessary to screen and process the peak values ​​and valley values ​​to improve the detection accuracy and calculation efficiency.

[0044] Specifically, the absolute difference between each peak value and its previous pressure difference data is obtained, and the absolute difference corresponding to all peak values ​​is used as the input of the Otsu threshold method to obtain the segmentation threshold, and the peak value whose absolute difference is greater than the segmentation threshold is recorded as a significant peak value; in the same way, the absolute difference between each valley value and its previous pressure difference data is obtained, and the absolute difference corresponding to all peak values ​​is used as the input of the Otsu threshold method to obtain the segmentation threshold, and the peak value whose absolute difference is greater than the segmentation threshold is recorded as a significant peak value to obtain each significant valley value.

[0045] In this embodiment, a window of size 1×9 is constructed with each significant peak and significant valley as the center data, and a sliding T test algorithm is used to obtain the T statistic corresponding to the window, and the absolute value of the T statistic is used as the mutation index of the window center data. It should be noted that when the center of the window is near the two ends of the sequence, causing the window to exceed the sequence range, the excess part of the window is filled, and the filled data is the mean of the data in the window that does not exceed the sequence range.

[0046] In order to further analyze the oscillation degree of the pressure difference sequence, this embodiment calculates the mean value x1 of the mutation index of all significant peak values ​​in the pressure difference sequence and the mean value x2 of the mutation index of all significant valley values, and records the average value of x1 and x2 as the oscillation index of the pressure difference sequence. The oscillation index reflects the volatility and significance of the mutation of the pressure difference sequence. The larger the oscillation index, the greater the fluctuation degree of the pressure difference data in the pressure difference sequence.

[0047] At the same time, in this embodiment, the degree of dust accumulation in the filter bag is evaluated by the rising speed of the pressure difference. If the pressure difference rises faster, it means that there is more dust accumulated on the surface of the filter bag, and it needs to be cleaned in time; on the contrary, if the pressure difference rises slower, it means that there is less dust accumulated on the surface of the filter bag, and the cleaning cycle can be appropriately extended. Therefore, in this embodiment, the pressure difference sequence is used as the input of the least squares method for straight line fitting, and the slope of the fitted straight line is recorded as the rising index of the pressure difference sequence. The rising index reflects the rising rate of the pressure difference sequence. The larger the rising index, the faster the growth rate of the pressure difference data in the pressure difference sequence.

[0048] Therefore, based on the oscillation index and the rising index of the pressure difference sequence, the pressure difference growth coefficient of the pressure difference sequence is constructed. In this embodiment, the specific calculation formula is: ; In the formula, A is the pressure difference growth coefficient of the pressure difference sequence; e is the natural constant; Z is the oscillation index of the pressure difference sequence; S is the rising index of the pressure difference sequence.

[0049] It can be understood that the larger the oscillation index Z is, the smaller the degree of pressure difference oscillation is over time, reflecting the thicker the dust layer is accumulated; if the oscillation index Z is smaller, or even negative, the pressure difference oscillation becomes larger over time, reflecting the greater the impact of dust accumulation and thick drop on the pressure difference, and the greater the possibility that a dust layer is forming. If the rising index S is larger, the pressure difference rises faster over time, and the more dust accumulates on the surface of the filter bag; if the rising index S is smaller, or even negative, it indicates that although there is dust accumulation on the surface of the filter bag, the dust accumulation process is relatively gentle and the pressure difference rises slowly. Therefore, the larger the pressure difference growth coefficient A is, the higher the degree of dust layer accumulation is, the smaller the oscillation becomes and the higher the rising speed is, and the greater the possibility of timely cleaning is.

[0050] If there is no serious dust accumulation on the surface of the filter bag, the dust collector has a good filtering effect and can filter dust from the air, then the dust concentration at the inlet and outlet of the dust box chamber will be quite different. If the surface of the filter bag is clogged with dust, the pressure difference in the dust box chamber will increase, which will easily lead to the phenomenon of pressing out, increasing the dust concentration in the exhaust air; at this time, if the dust concentration of the air entering the dust box chamber fluctuates greatly, due to the decrease in filtering efficiency, the data fluctuation of the outlet concentration series will also increase, and the correlation of the dust concentration at the inlet and outlet will also increase.

[0051] First, in this embodiment, the change of dust concentration in the exhaust air will be analyzed. If the filtering effect of the filter bag is good, the dust concentration in the exhausted air after filtration is relatively stable, the data fluctuates smoothly, and there is no obvious data trend. If the filtering effect is not good and a thick dust layer is formed, the dust concentration in the exhausted air will fluctuate greatly, and as the pressure difference increases, the dust escapes and the dust concentration in the exhausted air will fluctuate and rise.

[0052] Therefore, in this embodiment, all peaks and valleys in the outlet concentration sequence are obtained by the peak and valley detection algorithm. In the outlet concentration sequence, the variance f1 of all peaks, the variance f2 of all valleys, and the variance f3 of all outlet dust concentrations are obtained respectively, and the mean of the variances f1, f2, and f3 is recorded as the fluctuation coefficient of the outlet concentration sequence.

[0053] Then, the outlet concentration sequence is divided into multiple subsequences by the BG sequence segmentation algorithm, and each subsequence is cumulatively marked in turn to construct a marked sequence , n is the number of subsequences, and the tag values ​​of each subsequence are arranged in ascending order to form a tag sequence, where the tag value of the i-th subsequence is i. According to the calculation steps of the rising index of the pressure difference sequence, the rising index of the outlet concentration sequence and each subsequence is obtained, and the tag values ​​of each subsequence are arranged in ascending order according to the rising index. The sequence recomposed by the tag values ​​of each subsequence after sorting is recorded as the sorted sequence, and the DTW distance between the sorted sequence and the tag sequence is taken as the position difference distance.

[0054] In this embodiment, the stationary coefficient of the outlet concentration sequence is constructed according to the fluctuation coefficient, the rising index, and the position difference distance of the outlet concentration sequence. The specific calculation formula in this embodiment is:

[0055] ; In the formula, is the stationary coefficient of the export concentration sequence; b is the product of the fluctuation coefficient of the export concentration sequence and the range of the export concentration sequence; k is the rising index of the export concentration sequence; w is the rank difference distance of the export concentration sequence.

[0056] It can be understood that the smaller b is, the more stable the data of the outlet concentration sequence is, and the better the filtering effect is; the smaller the rising index k is, the outlet concentration sequence does not show an overall increase phenomenon, and the dust concentration of the exhaust air does not gradually increase; the larger the sequence difference distance w is, the greater the degree of sequence difference between the subsequence sorted by the rising index and the original subsequence after segmentation, reflecting that the rising index of each subsequence is not gradually increasing with the passage of time, and the outlet concentration sequence has less significant data trend change characteristics, and the greater the stability coefficient of the outlet concentration sequence. Therefore, the stability coefficient The larger it is, the better the stability of the outlet concentration sequence is and the better the filtering effect is.

[0057] According to the above method of this embodiment, for the inlet concentration sequence, the method for obtaining the stationary coefficient of the outlet concentration sequence is adopted to calculate the stationary coefficient of the inlet concentration sequence, which is used to evaluate the stability of the dust concentration data at the outlet and inlet of the dust removal chamber.

[0058] Secondly, if the dust on the surface of the filter bag is seriously accumulated and the filtering capacity is reduced, after the air containing a large amount of dust enters the inlet, some of the dust cannot be effectively intercepted, which will cause the dust concentration at the outlet to increase significantly. Therefore, this embodiment analyzes the correlation between the dust concentration in the inlet and outlet air.

[0059] Specifically, according to the difference in the stationary coefficient between the inlet concentration sequence and the outlet concentration sequence, and the correlation between the inlet concentration sequence and the outlet concentration sequence, the inlet and outlet difference coefficient of the dust removal chamber is constructed. In this embodiment, the specific calculation formula is:

[0060] ; In the formula, F is the difference coefficient of the inlet and outlet of the dust removal chamber; B is the absolute difference of the stationary coefficient between the outlet concentration sequence and the inlet concentration sequence; C is the absolute difference of the element mean between the outlet concentration sequence and the inlet concentration sequence; p is the absolute value of the Pearson similarity coefficient between the outlet concentration sequence and the inlet concentration sequence; To avoid a constant with a denominator of 0, the value range is 0 to 1, and in this embodiment, the value is 0.01.

[0061] It can be understood that the greater the absolute difference in the stationary coefficient between the outlet concentration sequence and the inlet concentration sequence, the greater the difference in the fluctuation of the dust concentration contained in the exhaust air and the inlet air, reflecting that the filtering effect of the filter bag is better; the greater the absolute difference in the element mean between the outlet concentration sequence and the inlet concentration sequence, the greater the difference between the outlet dust concentration and the inlet dust concentration, the greater the degree of dust filtering by the filter bag, and the less likely it is to produce a thick dust layer at this time; the smaller the inlet and outlet similarity index P, the no obvious correlation between the outlet concentration sequence and the inlet concentration sequence, reflecting that the filtering effect of the filter bag is relatively stable. Therefore, the greater the inlet and outlet difference coefficient, the better and more stable the filtering effect of the filter bag inside the dust removal box, and the lower the possibility of forming a thick dust layer on the surface of the filter bag, and at this time, there is no need to clean the dust, and the dust removal can be continued.

[0062] At the same time, considering that when a thick dust layer is formed on the surface of the filter bag, the pressure difference increases, and it is easy to squeeze out, which increases the dust concentration at the outlet; if the dust layer is not formed, the filtration efficiency of the filter bag is stable, and the change in the pressure difference will not cause a significant change in the dust concentration at the outlet. Therefore, the correlation between the dust concentration at the outlet and the pressure difference is analyzed, and the change in the dust concentration at the outlet when the pressure difference increases is analyzed to reflect the accumulation degree of the dust layer.

[0063] Therefore, according to the difference between the pressure difference sequence and the outlet concentration sequence, and the discreteness of the outlet concentration sequence, the pressure difference concentration independence index is calculated. The specific calculation formula in this embodiment is: ; In the formula, is the pressure difference concentration-independent index; D is the DTW between the pressure difference series and the outlet concentration series; is the variance of the outlet concentration series. It can be understood that the larger D is, the smaller the similarity between the pressure difference data change and the outlet concentration data change is; The smaller it is, the better the stabilization effect of the outlet concentration series. Therefore, the larger the pressure difference concentration independence index is, the more stable the dust concentration emitted remains even when the pressure difference rises rapidly.

[0064] Finally, the dust cleaning confidence of the dust removal chamber is constructed according to the pressure difference growth coefficient of the pressure difference sequence, the stability coefficient of the outlet concentration sequence, the inlet and outlet difference coefficient of the dust removal chamber, and the pressure difference concentration irrelevant index. The specific calculation formula in this embodiment is: ; In the formula, G is the dust cleaning confidence of the dust removal box chamber; A is the pressure difference growth coefficient of the pressure difference sequence; is the stationary coefficient of the outlet concentration sequence; F is the inlet and outlet difference coefficient of the dust removal chamber; It is an index independent of pressure difference concentration.

[0065] It can be understood that the larger the pressure difference growth coefficient A is, the higher the degree of dust layer accumulation is; the smaller the stability coefficient of the outlet concentration sequence is, the more unstable the sequence fluctuation of the corresponding outlet concentration sequence is, and the worse the filtering effect of the filter bag is; the smaller the inlet and outlet difference coefficient is, the more consistent the dust concentration in the air at the outlet and inlet of the dust removal box chamber is, and the smaller the concentration difference is; the smaller the concentration independence index is, the greater the correlation between the outlet concentration sequence and the pressure difference sequence is. Therefore, the larger the cleaning confidence G is, the worse the filtering effect of the filter bag is, the thicker the dust layer accumulated on the surface of the filter bag is, the more serious the blockage is, and the more necessary it is to clean the filter bag.

[0066] The dust cleaning evaluation module is used to evaluate whether to clean the filter bags in the dust removal box chamber according to the dust cleaning confidence of the dust removal box chamber.

[0067] According to the above module, the cleaning confidence of the dust box chamber can be analyzed. Further, the cleaning confidence of all dust box chambers in the bag filter can be obtained and normalized. If the normalized cleaning confidence is greater than or equal to the preset confidence threshold, then there is a thick dust layer on the surface of the filter bag in the dust box chamber, and the filter bag is pulse-blown to achieve cleaning control of the filter bag and improve the dust removal effect of the subsequent bag filter. It should be noted that in this embodiment, the preset confidence threshold is set to 0.5. Among them, the normalization processing method in this embodiment adopts the Z-score normalization method, and the implementer can also select the normalization method by himself in the actual application scenario.

[0068] Specifically, the dust removal box room cleaning control flow chart is as follows Figure 3 shown.

[0069] In the second aspect, an embodiment of the present application also provides an industrial dust removal control device based on a dust sensor, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the process of implementing any one of the above-mentioned industrial dust removal control systems based on a dust sensor is implemented.

[0070] In a third aspect, an embodiment of the present application further provides an industrial dust removal control device based on a dust sensor, wherein a computer program is stored in the device, and when the computer program is executed by a processor, the process of implementing any one of the above-mentioned industrial dust removal control systems based on a dust sensor is implemented.

[0071] It is to be understood that the sequence of the embodiments of the present application described above is for description only and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of the present 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.

[0072] 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.

[0073] The above content is only an implementation method of the present application and is not intended to limit the scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the protection scope of the present application.

Claims

1. Industrial dust removal control system based on dust sensor, characterized in that: The system includes: The dust removal chamber data acquisition module obtains the dust concentration at the inlet and outlet of the dust removal chamber and the internal and external pressure difference data at each acquisition time to form an inlet concentration sequence, an outlet concentration sequence and a pressure difference sequence respectively; The dust data analysis module analyzes the mutation degree and distribution characteristics of the peak and valley values ​​in the pressure difference sequence, and constructs the pressure difference growth coefficient of the pressure difference sequence in combination with the change of the pressure difference data in the pressure difference sequence; for the inlet and outlet concentration sequences, the stationary coefficients of the inlet and outlet concentration sequences are obtained according to the fluctuation degree of the peak value, the fluctuation degree of the valley value and the fluctuation degree of the dust concentration in the sequence, respectively, in combination with the change of the dust concentration in the sequence; the inlet and outlet difference coefficient of the dust removal chamber is constructed according to the difference in the stationary coefficients between the inlet and outlet concentration sequences and the correlation between the inlet and outlet concentration sequences; based on the difference between the pressure difference sequence and the outlet concentration sequence, and the data discreteness of the outlet concentration sequence, a pressure difference concentration-independent index is constructed, and the cleaning confidence of the dust removal chamber is obtained by combining the pressure difference growth coefficient of the pressure difference sequence, the stationary coefficient of the outlet concentration sequence and the inlet and outlet difference coefficient of the dust removal chamber; A dust cleaning evaluation module evaluates whether to clean the filter bags in the dust removal chamber according to the dust cleaning confidence of the dust removal chamber; The expression of the dust cleaning confidence of the dust removal box chamber is: ; In the formula, G is the dust cleaning confidence of the dust removal box chamber; A is the pressure difference growth coefficient of the pressure difference sequence; is the stationary coefficient of the outlet concentration sequence; F is the inlet and outlet difference coefficient of the dust removal chamber; It is an index independent of pressure difference concentration.

2. The industrial dust removal control system based on dust sensor according to claim 1, characterized in that: The expression of the pressure difference growth coefficient of the pressure difference sequence is: ; In the formula, A is the pressure difference growth coefficient of the pressure difference sequence; e is a natural constant; Z is the oscillation index of the pressure difference sequence, and the oscillation index is constructed by the sudden changes in the peak and valley values ​​in the pressure difference sequence; S is the rising index of the pressure difference sequence, where a straight line is fitted to the pressure difference sequence, and the slope of the fitted straight line is the rising index of the pressure difference sequence.

3. The industrial dust removal control system based on dust sensor according to claim 2, characterized in that: The construction process of the oscillation index of the pressure difference series is: Calculate the absolute difference between each peak value of the pressure difference sequence and its previous pressure difference, perform threshold segmentation on the absolute differences corresponding to all peak values, record the peak values ​​corresponding to the absolute differences greater than the segmentation threshold as significant peak values, and accordingly extract significant valley values; Windows are constructed with each significant peak and significant valley as the center data, and the sliding T test algorithm is used to obtain the T statistic corresponding to the window. The absolute value of the T statistic is used as the mutation index of the window center data, and the average of the mean of the mutation index of all significant peaks in the pressure difference sequence and the mean of the mutation index of all significant valleys is used as the oscillation index of the pressure difference sequence.

4. The industrial dust removal control system based on dust sensor according to claim 2, characterized in that: The expression of the stationary coefficient of the inlet and outlet concentration series is: ; In the formula, is the stationary coefficient of the outlet concentration sequence; b is the product of the fluctuation coefficient of the outlet concentration sequence and the range of the outlet concentration sequence, where the average of the variance of all peak values ​​of the outlet concentration sequence, the variance of all valley values ​​and the variance of all outlet dust concentrations is taken as the fluctuation coefficient; k is the rising index of the outlet concentration sequence; w is the rank difference distance of the outlet concentration sequence.

5. The industrial dust removal control system based on dust sensor according to claim 4, characterized in that: The acquisition of the position difference distance of the outlet concentration sequence further includes: The outlet concentration sequence is divided into multiple subsequences, and each subsequence is marked in turn. The mark values ​​of each subsequence are arranged in ascending order to form a mark sequence, where the mark value of the i-th subsequence is i; The tag values ​​of each subsequence are arranged in ascending order according to the ascending index. The sequence recomposed by the tag values ​​of each subsequence after sorting is recorded as the sorted sequence, and the DTW distance between the sorted sequence and the tag sequence is taken as the position difference distance.

6. The industrial dust removal control system based on dust sensor according to claim 1, characterized in that: The expression of the inlet and outlet difference coefficient of the dust removal box chamber is: ; In the formula, F is the difference coefficient of the inlet and outlet of the dust removal chamber; B is the absolute difference of the stationary coefficient between the outlet concentration sequence and the inlet concentration sequence; C is the absolute difference of the element mean between the outlet concentration sequence and the inlet concentration sequence; p is the absolute value of the Pearson similarity coefficient between the outlet concentration sequence and the inlet concentration sequence; To avoid constants with denominators equal to 0.

7. The industrial dust removal control system based on dust sensor according to claim 1, characterized in that: The expression of the pressure difference concentration-independent index is: ; In the formula, is the pressure difference concentration-independent index; D is the DTW between the pressure difference series and the outlet concentration series; is the variance of the outlet concentration series; To avoid constants with denominators equal to 0.

8. An industrial dust removal control device based on a dust sensor, 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 process of the industrial dust removal control system based on the dust sensor as described in any one of claims 1-7 is implemented.

9. An industrial dust removal control device based on a dust sensor, wherein a computer program is stored in the device, characterized in that: When the computer program is executed by a processor, the process of an industrial dust removal control system based on a dust sensor as described in any one of claims 1 to 7 is implemented.

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