Pulse dust removal control method, device and equipment and storage medium

Abstract

The invention provides a pulse dust removal control method and device, equipment and a storage medium, relates to the technical field of dust removal, solves the technical problem of poor dust removal effect of a pulse dust removal scheme in the related art, and can determine a corresponding comprehensive risk value through comprehensive judgment of multiple parameter items, thereby improving the dust removal efficiency. According to the technical scheme, the operation state and the dust removal requirement of the equipment are better reflected, so that the corresponding adjusting proportion is selected according to the risk gear matched with the comprehensive risk value to control the frequency and the intensity of pulse dust removal, the current dust removal requirement is matched, and the efficiency and the effect of pulse dust removal are effectively improved.

Description

Technical Field

[0001] The present application relates to the field of dust removal technology, and in particular to a pulse dust removal control method, device, equipment and storage medium. Background Art

[0002] With the improvement of corporate environmental awareness and the demand for sustainable development in society, pulse dust collectors are widely used in areas with heavy dust pollution. Pulse dust collectors remove dust attached to the filter medium (bag or filter cartridge) by spraying compressed air to achieve a cleaning effect.

[0003] However, in actual applications, such as in sludge drying treatment scenarios, the inventors found that when the sludge is dried by hot air in the drying oven, a large amount of humid heat mixed airflow with odor and corrosive gases will be generated. When the equipment is just shut down, there is still residual heat after the cold and heat sources stop working. At the same time, due to the high moisture content of the sludge itself, the humid air quickly fills the return air chamber. The pulse dust removal scheme of the related technology will cause the humid air to be unable to cool down and condense in the return air chamber in time, and the humidity in the return air chamber will rise, resulting in the filter being damp and dust agglomeration, which affects the efficiency and effect of the pulse dust removal. Moreover, the wind pressure does not drop significantly after pulse dust removal, which can easily cause the equipment to be frequently turned on and off, resulting in reduced performance of the equipment. Summary of the invention

[0004] The present application provides a pulse dust removal control method, device, equipment and storage medium, which solves the technical problem of poor dust removal effect of the pulse dust removal scheme in the related art. The scheme can control the frequency and intensity of pulse dust removal through comprehensive judgment of multiple parameters, effectively prevent the filter from getting damp and dust agglomeration, and help improve the efficiency and effect of pulse dust removal.

[0005] In a first aspect, the present application provides a pulse dust removal control method, the method comprising:

[0006] Obtain environmental parameter values ​​collected by sensors;

[0007] Determine a risk score value corresponding to each environmental parameter value according to a first risk interval corresponding to the parameter item to which the environmental parameter value belongs;

[0008] Determine the current comprehensive risk value based on the risk score value and the weight value corresponding to the parameter item;

[0009] According to the preset second risk interval, determine the risk level corresponding to the comprehensive risk value;

[0010] According to the adjustment strategy corresponding to the risk level, select the frequency adjustment ratio and the intensity adjustment ratio, and adjust the pulse frequency and pulse intensity.

[0011] In a second aspect, the present application also provides a pulse dust removal control device, the device comprising:

[0012] A parameter acquisition module is configured to acquire environmental parameter values ​​collected by sensors;

[0013] A score acquisition module configured to determine a risk score value corresponding to each environmental parameter value according to a first risk interval corresponding to the parameter item to which the environmental parameter value belongs;

[0014] A risk calculation module, configured to determine a current comprehensive risk value based on the risk score value and the weight values ​​corresponding to the parameter items;

[0015] A gear determination module, configured to determine a risk gear corresponding to the comprehensive risk value according to a preset second risk interval;

[0016] The parameter adjustment module is configured to select a frequency adjustment ratio and an intensity adjustment ratio according to an adjustment strategy corresponding to the risk level, and adjust the pulse frequency and pulse intensity.

[0017] In a third aspect, the present application further provides a pulse dust removal control device, the pulse dust removal control device comprising:

[0018] one or more processors;

[0019] a storage device for storing one or more programs,

[0020] When one or more programs are executed by one or more processors, the one or more processors implement the pulse dust removal control method of the present application.

[0021] In a fourth aspect, the present application also provides a storage medium storing computer executable instructions, which, when executed by a processor, are used to execute the pulse dust removal control method of the present application.

[0022] The present application scheme can determine the corresponding comprehensive risk value through comprehensive judgment of multiple parameter items to better reflect the operating status of the equipment and the dust removal requirements, and then select the corresponding adjustment ratio according to the risk level matching the comprehensive risk value to control the frequency and intensity of pulse dust removal to match the current dust removal requirements, thereby effectively improving the efficiency and effect of pulse dust removal. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of the steps of a pulse dust removal control method provided in one embodiment of the present application;

[0024] Figure 2 A schematic diagram of the steps for obtaining a comprehensive risk value provided in an embodiment of the present application;

[0025] Figure 3A schematic diagram of the structure of a pulse dust removal control device provided in one embodiment of the present application;

[0026] Figure 4 A schematic diagram of the structure of a pulse dust removal control device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0027] The embodiments of the present application are further described in detail below in conjunction with the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are only used to explain the embodiments of the present application, rather than to limit the embodiments of the present application. It should also be noted that, for ease of description, only the parts related to the embodiments of the present application rather than all structures are shown in the accompanying drawings, and those skilled in the art should be able to think of it after reading the specification of this application that as long as the technical features do not contradict each other, any combination of the technical features can constitute an optional implementation method.

[0028] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable when appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally a class, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally represents that the objects associated before and after are in an "or" relationship. In the description of the present application, "multiple" means two or more, and "several" means one or more.

[0029] The pulse dust collector is used to remove dust attached to the filter medium by blowing compressed air. Specifically, when the dust-laden gas enters the dust collector from the air inlet, the dust-laden gas passes through the filter bag for purification. As time goes by, more and more dust is deposited on the filter bag, which increases the resistance of the filter bag and causes the air volume to be gradually reduced. To ensure normal operation, the filter bag needs to be cleaned. During cleaning, the pulse controller sequentially triggers each control valve to open the pulse valve, and the compressed air in the air bag is sprayed into the corresponding filter bag by the blowing pipe, so that the dust accumulated on the surface of the filter bag falls off. In this way, the dust accumulated on the filter bag is periodically pulse-blown and cleaned, so that the purified gas passes normally and the dust removal system is guaranteed to operate.

[0030] Therefore, in the production and operation process of enterprises, pulse dust collectors are usually installed in some dust-heavy pollution areas to remove dust. For example, in large municipal sludge drying plants, the sludge processing volume is huge and the composition is complex. When the sludge is dried by hot air in the drying oven, a large amount of hot and humid mixed airflow with odor and corrosive gases will be generated. When the equipment is shut down, the residual temperature in the oven can often be maintained at a high level, such as around 100-150℃. At the same time, due to the high moisture content of the sludge itself, the humid air quickly fills the return air chamber.

[0031] However, the pulse dust removal scheme of related technologies will cause the warm and humid air to fail to cool down and condense in the return air chamber in time, and the humidity in the return air chamber will rise, resulting in the phenomenon of filter dampness and dust agglomeration, which will affect the efficiency and effect of pulse dust removal. Moreover, the wind pressure does not drop significantly after pulse dust removal, which can easily lead to frequent power on and off of the equipment, resulting in reduced performance of the equipment.

[0032] In this regard, the present application provides a pulse dust removal control method, which combines environmental parameters to determine the risk level of dust agglomeration, filter clogging, etc. that affect dust removal, and adjusts the pulse frequency and pulse intensity accordingly through an adjustment strategy that matches the risk level, thereby better improving the pulse dust removal efficiency and dust removal effect.

[0033] It is conceivable that the method can be applied to a pulse dust removal control device, which includes a processor and a memory. The processor may include processing units such as an application processor (AP) and a central processing unit (CPU); the memory, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as the program instructions / modules corresponding to the pulse dust removal control method in the embodiment of the present application. In addition, the pulse dust removal control device can also be connected to other sensors, such as temperature sensors, humidity sensors, pressure sensors, concentration monitoring sensors, etc., to perform real-time detection of environmental parameters such as temperature and humidity.

[0034] On this basis, when executing the pulse dust removal control method, it can be specifically executed by the processor in the above-mentioned device. Figure 1 A schematic diagram of the steps of a pulse dust removal control method provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the specific steps include steps S110-S150:

[0035] Step S110: Acquire environmental parameter values ​​collected by sensors.

[0036] It is conceivable that, optionally, the environmental parameter value obtained in one embodiment can be the parameter value obtained by the processor receiving data uploaded by the sensor connected to it, such as the temperature sensor, humidity sensor, pressure sensor, concentration monitoring sensor and other sensors uploaded by the above-mentioned sensors, that is, the environmental parameter value. Optionally, in another embodiment, the data corresponding to different environmental parameters collected by the sensor can be transmitted to the same data management device, and then the processor can also obtain the specific environmental parameter value from the data management device through data transmission forms such as network or data line.

[0037] Step S120: Determine a risk score value corresponding to each environmental parameter value according to a first risk interval corresponding to the parameter item to which the environmental parameter value belongs.

[0038] It can be understood that each different type of environmental parameter value corresponds to a parameter item. For example, the wind pressure value of 1200Pa is the environmental parameter value corresponding to the wind pressure parameter item, and the temperature value of 55°C is the environmental parameter value corresponding to the temperature parameter item. In addition, a first risk interval is set for each of the different parameter items, so that the environmental parameter value currently obtained corresponds to the risk score value through the environmental parameter value and the numerical range contained in the first risk interval.

[0039] In one embodiment, the first risk interval includes a high-risk sub-interval, a medium-risk sub-interval and a low-risk sub-interval, and the high-risk sub-interval, the medium-risk sub-interval and the low-risk sub-interval respectively correspond to different interval scores, and the interval score corresponding to the high-risk sub-interval, the interval score corresponding to the medium-risk sub-interval and the interval score corresponding to the low-risk sub-interval decreases successively, that is, the high-risk sub-interval has the highest interval score, and the low-risk sub-interval has the lowest interval score.

[0040] In this regard, when determining the risk score value corresponding to each environmental parameter, based on the numerical range corresponding to the high-risk sub-interval, the medium-risk sub-interval, and the low-risk sub-interval corresponding to each parameter item, the processor determines the interval corresponding to the specific environmental parameter value. The specific steps include steps S121-S122:

[0041] Step S121: Determine the sub-interval corresponding to the environmental parameter value according to the numerical ranges corresponding to different parameter items in the high-risk sub-interval, the medium-risk sub-interval, and the low-risk sub-interval.

[0042] Step S122: according to the interval score of the sub-interval corresponding to the environmental parameter value, the corresponding interval score is used as the risk score value corresponding to the environmental parameter value.

[0043] It is understandable that for each sub-interval, a corresponding interval score is preset, and the processor can further determine the sub-interval corresponding to the current environmental parameter value according to the numerical range corresponding to each sub-interval. In this regard, according to the interval score corresponding to the sub-interval, the interval score of the sub-interval corresponding to the current environmental parameter value is used as the risk score value.

[0044] Exemplarily, environmental parameters include wind pressure, temperature, humidity, operating time and dust concentration. The high-risk sub-interval in the first risk interval corresponding to the parameter item of wind pressure corresponds to the interval with a wind pressure value greater than 1500Pa, the medium-risk sub-interval corresponds to the interval with a corresponding wind pressure value greater than or equal to 1000Pa and less than or equal to 1500Pa, and the low-risk sub-interval corresponds to the interval with a wind pressure value less than 1000Pa, and the interval score corresponding to the high-risk sub-interval is 3, the interval score corresponding to the medium-risk sub-interval is 2, and the interval score corresponding to the low-risk sub-interval is 1. It can be understood that, for wind pressure, the high-risk sub-interval is determined based on the wind pressure range that may cause air flow disturbance in the drying room, affect the drying effect, and produce a large pressure shock to the equipment, the medium-risk sub-interval is determined based on the wind pressure range that will not cause serious problems immediately but may gradually affect the drying efficiency and equipment stability, and the low-risk sub-interval is determined based on the wind pressure range that operates normally and has little impact on the drying effect and equipment.

[0045] The high-risk sub-interval in the first risk interval corresponding to the parameter item of temperature corresponds to the interval with a temperature value greater than 70°C, the medium-risk sub-interval corresponds to the interval with a temperature value greater than or equal to 50°C and less than or equal to 70°C, and the low-risk sub-interval corresponds to the interval with a temperature value less than 50°C, and the interval score corresponding to the high-risk sub-interval is 3, the interval score corresponding to the medium-risk sub-interval is 2, and the interval score corresponding to the low-risk sub-interval is 1. It can be understood that, for temperature, the high-risk sub-interval is determined based on the temperature range that causes the physical properties of the dust to change significantly, may cause certain components in the dust to undergo chemical reactions, or make the dust more viscous and easy to agglomerate, the medium-risk sub-interval is determined based on the temperature range that makes the properties of the dust begin to have a trend of change and has a potential risk of agglomeration, and the low-risk sub-interval is determined based on the temperature range that makes the properties of the dust relatively stable and not easy to agglomerate.

[0046] The high-risk sub-interval in the first risk interval corresponding to the parameter item of humidity corresponds to the interval with a humidity value (percentage value) greater than 70%, the medium-risk sub-interval corresponds to the interval with a corresponding humidity value greater than or equal to 50% and less than or equal to 70%, and the low-risk sub-interval corresponds to the interval with a corresponding humidity value less than 50%, and the interval score corresponding to the high-risk sub-interval is 3, the interval score corresponding to the medium-risk sub-interval is 2, and the interval score corresponding to the low-risk sub-interval is 1. It can be understood that, for humidity, the high-risk sub-interval is determined based on the humidity range that causes the dust to absorb moisture quickly and agglomerate, further affecting the ventilation and dust removal effects, the medium-risk sub-interval is determined based on the humidity range that has not yet reached a high humidity state but has the possibility of being damp, and the low-risk sub-interval is determined based on the humidity range that can ensure that the dust is in a relatively dry environment and is not easy to absorb moisture and agglomerate.

[0047] The high-risk sub-interval in the first risk interval corresponding to the parameter item of the operating time corresponds to the interval with a duration greater than 10 hours, the medium-risk sub-interval corresponds to the interval with a duration greater than or equal to 5 hours and less than or equal to 10 hours, and the low-risk sub-interval corresponds to the interval with a duration less than 5 hours, and the interval score corresponding to the high-risk sub-interval is 3, the interval score corresponding to the medium-risk sub-interval is 2, and the interval score corresponding to the low-risk sub-interval is 1. It can be understood that for the operating time, the high-risk sub-interval is determined based on the time range in which the dust accumulation reaches a high level due to long-term operation, the medium-risk sub-interval is determined based on the time range in which the dust accumulation reaches a moderate level, and the low-risk sub-interval is determined based on the time range in which the equipment runs for a short time and the dust accumulation is small.

[0048] In the first risk interval corresponding to the parameter item of dust concentration, the high-risk sub-interval corresponds to the interval with a concentration value (percentage value) greater than 80%, the medium-risk sub-interval corresponds to the interval with a concentration value greater than or equal to 50% and less than or equal to 80%, and the low-risk sub-interval corresponds to the interval with a concentration value less than 50%. The interval score corresponding to the high-risk sub-interval is 3, the interval score corresponding to the medium-risk sub-interval is 2, and the interval score corresponding to the low-risk sub-interval is 1.

[0049] In this regard, if the current wind pressure value is 1300Pa, the processor can determine that the subinterval to which the parameter value belongs is a medium-risk subinterval, and the corresponding interval score of the subinterval is 2. Therefore, the interval score is used as the risk score corresponding to the current wind pressure value. If the current temperature value is 40℃, it can be determined that the subinterval to which the parameter value belongs is a low-risk subinterval, and the corresponding interval score of the subinterval is 1. Therefore, the interval score is used as the risk score corresponding to the current temperature value. If the current humidity value is 40%, it can be determined that the subinterval to which the parameter value belongs is a low-risk subinterval, and the corresponding interval score of the subinterval is 1. Therefore, the interval score is used as the risk score corresponding to the current humidity value. If the current operating time is 11 hours, it can be determined that the subinterval to which the parameter value belongs is a high-risk subinterval, and the corresponding interval score of the subinterval is 3. Therefore, the interval score is used as the risk score corresponding to the current operating time. If the current dust concentration is 40%, it can be determined that the sub-interval to which the parameter value belongs is a low-risk sub-interval, and the interval score corresponding to the sub-interval is 1. Therefore, the interval score is used as the risk score corresponding to the current dust concentration.

[0050] Based on the corresponding risk score values, this solution can make a preliminary assessment of the risks brought about by the environmental parameter values ​​corresponding to each parameter item, which helps to more accurately control the frequency and intensity of pulse dust removal, thereby facilitating the improvement of the efficiency and effect of pulse dust removal.

[0051] Step S130: Determine the current comprehensive risk value based on the risk score value and the weight value corresponding to the parameter item.

[0052] Corresponding to different parameter items, the processor is pre-assigned with corresponding weight values. In this regard, after determining the risk score values ​​of the environmental parameter values ​​corresponding to different parameter items, the processor can perform weighted summation of the risk score values ​​according to the corresponding weight values ​​to determine the comprehensive risk value. It can be understood that through the corresponding weights, the relative risk degree brought by the environmental parameter values ​​detected by different parameter items can be quantified, so that the comprehensive risk value calculated by the processor can more accurately reflect the current risk, so as to better perform pulse dust removal control.

[0053] Optionally, in one embodiment, a corresponding weight value can be assigned to each parameter item, and the sum of the weight values ​​corresponding to each parameter item is 1. In this regard, after determining the risk score value corresponding to each environmental parameter value, the processor can calculate the product of each risk score value and the corresponding weight value based on the risk score value and weight value corresponding to each parameter item, and then calculate the cumulative sum in combination with the corresponding weight value and use the cumulative sum as the current comprehensive risk value.

[0054] Step S140: Determine the risk level corresponding to the comprehensive risk value according to the preset second risk interval.

[0055] The second risk interval is an interval used to compare the comprehensive risk value, which is used to determine the risk level corresponding to the comprehensive risk value. It can be imagined that the pre-set second risk interval is divided into different sub-intervals corresponding to different comprehensive risk values, that is, the numerical range of each sub-interval corresponds to the score range, so as to determine the corresponding sub-interval according to the comprehensive risk value, and then determine the corresponding risk level. For example, each sub-interval in the second risk interval corresponds to a different level. When the calculated comprehensive risk value falls into the corresponding sub-interval, the corresponding risk level can be determined.

[0056] Step S150: According to the adjustment strategy corresponding to the risk level, the frequency adjustment ratio and the intensity adjustment ratio are selected, and the pulse frequency and the pulse intensity are adjusted.

[0057] The adjustment strategy is used to adjust the pulse frequency and pulse intensity. For example, different adjustment strategies are set for different risk levels. The corresponding adjustment strategy can be the adjustment ratio of the pulse frequency and pulse intensity. After determining the risk level, the frequency adjustment ratio and the intensity adjustment ratio are selected according to the adjustment strategy corresponding to the level, and then the pulse frequency and pulse intensity are adjusted with the corresponding adjustment ratio. It is conceivable that in some embodiments, different adjustment strategies are corresponding to different risk levels, such as the higher the score corresponding to the risk level, the larger the adjustment ratio is, that is, the larger the comprehensive risk value is, the higher the adjustment ratio corresponding to the pulse frequency and pulse intensity in the adjustment strategy corresponding to the risk level to which it belongs.

[0058] It can be seen from the above scheme that this scheme can determine the corresponding comprehensive risk value through comprehensive judgment of multiple parameter items to better reflect the operating status of the equipment and the dust removal requirements, and then select the corresponding adjustment ratio according to the risk level matching the comprehensive risk value to control the frequency and intensity of pulse dust removal to match the current dust removal requirements, optimize the operation of the equipment, effectively improve the efficiency and effect of pulse dust removal, and reduce the phenomenon of frequent power on and off of the equipment, which is conducive to improving the stability of the equipment.

[0059] Figure 2 A schematic diagram of the steps for obtaining a comprehensive risk value provided for an embodiment of the present application. In one embodiment, the parameters to be detected include wind pressure, temperature, humidity, operating time, and dust concentration. For this, the weight values ​​corresponding to each parameter item are respectively the first weight value corresponding to wind pressure, the second weight value corresponding to temperature, the third weight value corresponding to humidity, the fourth weight value corresponding to operating time, and the fifth weight value corresponding to dust concentration. Among them, the sum of the first weight value, the second weight value, and the third weight value is 1, and the sum of the fourth weight value and the fifth weight value is 1.

[0060] Therefore, when calculating the corresponding comprehensive risk value, the processor needs to calculate the corresponding values ​​according to the corresponding weights of different parameter items, and then calculate according to the corresponding weights to obtain the comprehensive risk value. The specific steps are as follows:

[0061] Step S210: Based on the first weight value, the second weight value and the third weight value, a first parameter value is calculated by weighted summing each risk score value in the first target parameter item and the corresponding weight value, where the first target parameter item includes wind pressure, temperature and humidity.

[0062] Step S220: Based on the fourth weight value and the fifth weight value, a second parameter value is obtained by weighted summing each risk score value in the second target parameter item and the corresponding weight value, where the second target parameter item includes operating time and dust concentration.

[0063] Step S230: weighted sum the first parameter value and the second parameter value according to the first comprehensive weight corresponding to the first parameter value and the second comprehensive weight corresponding to the second parameter value to determine the comprehensive risk value, wherein the sum of the first comprehensive weight and the second comprehensive weight is 1.

[0064] It can be understood that for different parameter items, there are first target parameter items and second target parameter items, wherein the first target parameter items include wind pressure, temperature and humidity; the second target parameter items include operating time and dust concentration. The parameter items corresponding to wind pressure, temperature and humidity are the key to the operation of the system and need to be given priority, while the parameter items corresponding to the operating time and dust concentration are more adapted to the long-term maintenance and adjustment of the system. To this end, in order to better identify the current risks, different parameters are divided and weights are assigned accordingly. It is worth noting that not only are weight values ​​set for each parameter item within the first target parameter item and the second target parameter item (such as the first weight value, the second weight value, etc. mentioned above), but comprehensive weights (such as the first comprehensive weight and the second comprehensive weight mentioned above) are also assigned to the first parameter value and the second parameter value.

[0065] After determining the risk score value corresponding to each parameter item, the processor further performs weighted summation on each risk score value and the corresponding weight value in the first target parameter item according to the first weight value, the second weight value, and the third weight value, so as to use the calculated value as the first parameter value. For example, the weight corresponding to wind pressure is W1, the weight corresponding to temperature is W2, and the weight corresponding to humidity is W3, and the sum of W1, W2, and W3 is 1, and the parameter value corresponding to wind pressure is P, the parameter value corresponding to temperature is T, and the parameter value corresponding to humidity is H. In this regard, the first parameter value I1 can be determined as:

[0066] I1=W1*P+W2*T+W3*H

[0067] Similarly, according to the fourth weight value and the fifth weight value, the processor further performs weighted summation on each risk score value and the corresponding weight value in the second target parameter item, and uses the calculated value as the second parameter value. For example, the weight corresponding to the running time is W4, the weight corresponding to the dust concentration is W5, and the sum of W4 and W5 is 1, the parameter value corresponding to the running time is Time, and the parameter value corresponding to the dust concentration is Dust. In this regard, the second parameter value I2 can be determined as:

[0068] I2=W4*Time+W5*Dust

[0069] In addition, after calculating the corresponding parameter value, the processor also weights and sums the first parameter value and the second parameter value according to the first comprehensive weight and the second comprehensive weight to determine the comprehensive risk value, wherein the sum of the first comprehensive weight WT1 and the second comprehensive weight WT2 is 1. Therefore, the comprehensive risk value I can be determined as:

[0070] I=WT1*I1+WT2*I2

[0071] After calculating the corresponding parameter values ​​according to the corresponding weights for different parameter items, this solution further sets comprehensive weights for the parameter values, and then further weights and sums them according to the corresponding comprehensive weights to finally determine the comprehensive risk value, which reflects the operating status and dust removal requirements of the equipment, so that the selected adjustment strategy can better match the current dust removal requirements, effectively prevent the filter from getting damp and dust agglomeration, and help improve the efficiency and effect of pulse dust removal. Moreover, such weight distribution can also help the system to operate efficiently and stably, and extend the service life of the equipment.

[0072] In one embodiment, for the comprehensive risk value, the configured second risk interval includes a first sub-interval, a second sub-interval, and a third sub-interval, and the first sub-interval, the second sub-interval, and the third sub-interval correspond to different numerical ranges, respectively, wherein the value of the first sub-interval is greater than the value of the second sub-interval, and the value of the second sub-interval is greater than the value of the third sub-interval. In addition, the risk level includes a first level, a second level, and a third level.

[0073] In this regard, the processor may match the risk level with the sub-intervals in the second risk interval, such as the first sub-interval corresponds to the first level, the second sub-interval corresponds to the second level, and the third sub-interval corresponds to the third level. After determining the comprehensive risk value, the processor compares the comprehensive risk value and the numerical ranges corresponding to each sub-interval accordingly, and then determines the sub-interval in which the comprehensive risk value is located.

[0074] When the comprehensive risk value is in the first sub-interval, the corresponding risk gear is determined to be the first gear; when the comprehensive risk value is in the second sub-interval, the corresponding risk gear is determined to be the second gear; when the comprehensive risk value is in the third sub-interval, the corresponding risk gear is determined to be the third gear. It can be imagined that different gears correspond to different adjustment strategies. In this regard, the second risk interval is divided into multiple sub-intervals, and each sub-interval corresponds to a different risk gear. After determining the sub-interval where the comprehensive risk value is located, the corresponding risk gear can be determined, thereby quickly determining the corresponding adjustment strategy, so as to quickly adjust the dust removal control, thereby improving the dust removal efficiency.

[0075] In some embodiments, the risk level corresponds to an adjustment ratio, such as a frequency adjustment ratio and an intensity adjustment ratio, which correspond to different ratio values, and the higher the risk level, the larger the corresponding ratio value. Exemplarily, the risk level includes a first level and a second level, and when the risk level is determined to be the first level, the frequency adjustment ratio is determined to be a first frequency ratio value and the intensity adjustment ratio is determined to be a first intensity ratio value; when the risk level is determined to be the second level, the frequency adjustment ratio is determined to be a second frequency ratio value and the intensity adjustment ratio is determined to be a second intensity ratio value.

[0076] Among them, the second frequency ratio value is less than the first frequency ratio value, and the second intensity ratio value is less than the first intensity ratio value. In this regard, by setting the corresponding ratio value, after determining the risk gear corresponding to the comprehensive risk value, the processor can calculate the pulse frequency and pulse intensity according to the corresponding ratio value. For example, when the risk gear is the first gear, the corresponding ratio value includes the first frequency ratio value and the first intensity ratio value. When determining the pulse frequency value and the pulse intensity value, the product of the first frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the first intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted.

[0077] Similarly, when the risk gear is the first gear, the corresponding ratio value includes a second frequency ratio value and a second intensity ratio value. When determining the pulse frequency value and the pulse intensity value, the product of the second frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the second intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted.

[0078] Optionally, in some embodiments, the risk gear includes a third gear in addition to the first gear and the second gear. When the risk gear is determined to be the third gear, the frequency adjustment ratio is determined to be the third frequency ratio value and the intensity adjustment ratio is determined to be the third intensity ratio value, and the product of the third frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the third intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted. The third frequency ratio value is smaller than the second frequency ratio value, and the third intensity ratio value is smaller than the second intensity ratio value. That is, the ratio value corresponding to the third gear is lower, so when the risk gear corresponding to the comprehensive risk value is the third gear, the adjustment is performed with a pulse frequency value and a pulse intensity value that are smaller than the other two gears.

[0079] Optionally, in one embodiment, when the risk level is determined to be the third level, the current pulse frequency and pulse intensity are maintained. That is, after determining that the risk level corresponding to the comprehensive risk value is the third level, the corresponding adjustment strategy is to maintain the pulse frequency and pulse intensity, which can cope with the current operating conditions without adjustment.

[0080] Exemplarily, the first risk interval set for the parameter item includes a high-risk sub-interval, a medium-risk sub-interval and a low-risk sub-interval. It is worth noting that, corresponding to different parameter items, the numerical ranges of the high-risk sub-interval, the medium-risk sub-interval and the low-risk sub-interval set are also different, but the corresponding interval scores can be the same. For example, the interval scores corresponding to the high-risk sub-interval are all 3, the interval scores corresponding to the medium-risk sub-interval are all 2, and the interval scores corresponding to the low-risk sub-interval are all 1. Of course, in some embodiments, the corresponding interval scores may also be different. In addition, the second risk interval set corresponding to the comprehensive risk value includes a first sub-interval, a second sub-interval and a third sub-interval, the first sub-interval corresponds to the first gear, the second sub-interval corresponds to the second gear, and the third sub-interval corresponds to the third gear. The frequency adjustment ratio value corresponding to the first gear is 80%, and the intensity adjustment ratio value is 60%; the frequency adjustment ratio value corresponding to the second gear is 50%, and the intensity adjustment ratio value is 40%; the frequency adjustment ratio value corresponding to the third gear is 10%, and the intensity adjustment ratio value is 10%.

[0081] The detected parameters include wind pressure, temperature, humidity, operating time and dust concentration. If the environmental parameter values ​​obtained are wind pressure = 1200Pa, temperature = 40°C, humidity = 60%, operating time = 8 hours, and dust concentration = 60%. Accordingly, by comparing the environmental parameter values ​​of each parameter item, the sub-interval to which it belongs is determined, such as the sub-interval to which the current wind pressure belongs is the medium-risk sub-interval, and the corresponding interval score is S1 = 2; the sub-interval to which the current temperature belongs is the low-risk sub-interval, and the corresponding interval score is S2 = 1; the sub-interval to which the current humidity belongs is the medium-risk sub-interval, and the corresponding interval score is S3 = 2; the sub-interval to which the current operating time belongs is the medium-risk sub-interval, and the corresponding interval score is S4 = 2; the sub-interval to which the current dust concentration belongs is the medium-risk sub-interval, and the corresponding interval score is S5 = 2.

[0082] If the sum of the weights configured for each parameter is 1, that is, the sum of the weights for wind pressure W1, temperature W2, humidity W3, operating time W4, and dust concentration W5 is 1, the calculated comprehensive risk value I is:

[0083] I=W1*S1+W2*S2+W3*S3+W4*S4+W5*S5

[0084] When the above weight values ​​are: W1=0.3, W2=0.2, W3=0.25, W4=0.15 and W5=0.1, the comprehensive risk value I is 1.8. The comprehensive risk value I is compared with each sub-interval in the second risk interval to determine the sub-interval corresponding to the comprehensive risk value I. If the numerical range corresponding to the first sub-interval is a score greater than 2.5, the numerical range corresponding to the second sub-interval is a score greater than or equal to 1.5 and less than or equal to 2.5, and the numerical range corresponding to the third sub-interval is less than 1.5, then the sub-interval corresponding to the comprehensive risk value I can be determined to be the second sub-interval, so the corresponding risk gear can be determined to be the second gear, and the corresponding frequency adjustment ratio value is 50%, and the intensity adjustment ratio value is 40%. For this, the product of the frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted, so as to perform pulse dust removal control to achieve better efficiency and effect of pulse dust removal.

[0085] Through comprehensive monitoring and analysis of several parameters such as wind pressure, temperature, humidity, operating time and dust concentration, the comprehensive risk value reflecting the operating status of the equipment and the dust removal requirements can be determined. The equipment uses the relationship and influence between different parameters to accurately judge the operating status of the equipment, which helps to more reasonably and effectively adjust the frequency and intensity of pulse dust removal to optimize the effect of pulse dust removal and achieve precise control.

[0086] Figure 3 The schematic diagram of the structure of the pulse dust removal control device provided in one embodiment of the present application is used to execute the pulse dust removal control method provided in the above embodiment, and has the corresponding functional modules and beneficial effects of the execution method. As shown in the figure, the device includes a parameter acquisition module 301, a score acquisition module 302, a risk calculation module 303, a gear determination module 304 and a parameter adjustment module 305.

[0087] The parameter acquisition module 301 is configured to acquire the environmental parameter values ​​collected by the sensor;

[0088] The score acquisition module 302 is configured to determine the risk score value corresponding to each environmental parameter value according to the first risk interval corresponding to the parameter item to which the environmental parameter value belongs;

[0089] The risk calculation module 303 is configured to determine the current comprehensive risk value based on the risk score value and the weight value corresponding to the parameter item;

[0090] The gear determination module 304 is configured to determine the risk gear corresponding to the comprehensive risk value according to the preset second risk interval;

[0091] The parameter adjustment module 305 is configured to select a frequency adjustment ratio and an intensity adjustment ratio according to an adjustment strategy corresponding to the risk level, and adjust the pulse frequency and the pulse intensity.

[0092] Based on the above embodiment, the first risk interval includes a high-risk sub-interval, a medium-risk sub-interval and a low-risk sub-interval. The high-risk sub-interval, the medium-risk sub-interval and the low-risk sub-interval correspond to different interval scores, respectively, and the interval score corresponding to the high-risk sub-interval, the interval score corresponding to the medium-risk sub-interval and the interval score corresponding to the low-risk sub-interval decrease in sequence.

[0093] The score acquisition module 302 is specifically configured as follows:

[0094] Determine the sub-interval corresponding to the environmental parameter value according to the numerical ranges corresponding to different parameter items in the high-risk sub-interval, the medium-risk sub-interval, and the low-risk sub-interval;

[0095] According to the interval score of the sub-interval corresponding to the environmental parameter value, the corresponding interval score is used as the risk score value corresponding to the environmental parameter value.

[0096] Based on the above embodiment, the risk calculation module 303 is specifically configured as follows:

[0097] According to the risk score value and weight value corresponding to each parameter item, calculate the product value of each risk score value and the corresponding weight value;

[0098] Based on the obtained product values, a cumulative sum is calculated and the cumulative sum is used as the current comprehensive risk value.

[0099] Based on the above embodiment, the parameter items include wind pressure, temperature, humidity, operating time and dust concentration, and the weight values ​​corresponding to each parameter item are respectively a first weight value corresponding to wind pressure, a second weight value corresponding to temperature, a third weight value corresponding to humidity, a fourth weight value corresponding to operating time and a fifth weight value corresponding to dust concentration, wherein the sum of the first weight value, the second weight value and the third weight value is 1, and the sum of the fourth weight value and the fifth weight value is 1.

[0100] The risk calculation module 303 is further specifically configured as follows:

[0101] Based on the first weight value, the second weight value and the third weight value, a first parameter value is calculated by weighted summing each risk score value in the first target parameter item and the corresponding weight value, where the first target parameter item includes wind pressure, temperature and humidity;

[0102] Based on the fourth weight value and the fifth weight value, a second parameter value is obtained by weighted summing each risk score value in the second target parameter item and the corresponding weight value, where the second target parameter item includes the operating time and the dust concentration;

[0103] The first parameter value and the second parameter value are weighted and summed according to a first comprehensive weight corresponding to the first parameter value and a second comprehensive weight corresponding to the second parameter value to determine a comprehensive risk value, wherein the sum of the first comprehensive weight and the second comprehensive weight is 1.

[0104] Based on the above embodiment, the second risk interval includes a first sub-interval, a second sub-interval and a third sub-interval, the first sub-interval, the second sub-interval and the third sub-interval respectively correspond to different numerical ranges, and the value of the first sub-interval is greater than the value of the second sub-interval, the value of the second sub-interval is greater than the value of the third sub-interval, and the risk gear includes a first gear, a second gear and a third gear.

[0105] The gear position determination module 304 is specifically configured as follows:

[0106] Compare the comprehensive risk value according to the numerical ranges corresponding to the first sub-interval, the second sub-interval and the third sub-interval to determine the sub-interval in which the comprehensive risk value is located;

[0107] When the comprehensive risk value is in the first sub-interval, the corresponding risk level is determined to be the first level;

[0108] When the comprehensive risk value is in the second sub-interval, the corresponding risk level is determined to be the second level;

[0109] When the comprehensive risk value is in the third sub-interval, the corresponding risk level is determined to be the third level.

[0110] On the basis of the above embodiment, the risk gear includes a first gear and a second gear, and the parameter adjustment module 305 is specifically configured as follows:

[0111] When the risk gear is determined to be the first gear, the frequency adjustment ratio is determined to be the first frequency ratio value and the intensity adjustment ratio is determined to be the first intensity ratio value, and the product of the first frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the first intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted;

[0112] When the risk gear is determined to be the second gear, the frequency adjustment ratio is determined to be the second frequency ratio value and the intensity adjustment ratio is determined to be the second intensity ratio value, and the product of the second frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the second intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted, the second frequency ratio value is smaller than the first frequency ratio value, and the second intensity ratio value is smaller than the first intensity ratio value.

[0113] On the basis of the above embodiment, the risk level further includes a third level, and the parameter adjustment module 305 is further specifically configured as follows:

[0114] When it is determined that the risk gear is the third gear, the frequency adjustment ratio is determined to be a third frequency ratio value and the intensity adjustment ratio is determined to be a third intensity ratio value, and the product of the third frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the third intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted, the third frequency ratio value is less than the second frequency ratio value, and the third intensity ratio value is less than the second intensity ratio value;

[0115] or,

[0116] When the risk level is determined to be the third level, the current pulse frequency and pulse intensity are maintained.

[0117] It is worth noting that in the embodiment of the above-mentioned device, the modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present application.

[0118] Figure 4The schematic diagram of the structure of the pulse dust removal control device provided in one embodiment of the present application is used to execute the pulse dust removal control method provided in the above embodiment, and has the functional modules and beneficial effects corresponding to the execution method. As shown in the figure, the pulse dust removal control device includes a processor 401, a memory 402, an input device 403 and an output device 404. The number of processors 401 can be one or more, and one processor 401 is taken as an example in the figure; the processor 401, the memory 402, the input device 403 and the output device 404 can be connected by a bus or other means, and the figure takes the connection through the bus as an example. The memory 402, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as the program instructions / modules corresponding to the pulse dust removal control method in the embodiment of the present application. The processor 401 executes the corresponding various functional applications and data processing by running the software programs, instructions and modules stored in the memory 402, that is, the above-mentioned pulse dust removal control method is realized.

[0119] The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data recorded or created during use, etc. In addition, the memory 402 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 402 may further include a memory remotely arranged relative to the processor 401, and these remotely arranged memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0120] The input device 403 can be used to input corresponding digital or character information to the processor 401, and to generate key signal input related to the user settings and function control of the device; the output device 404 can be used to send or display key signal output related to the user settings and function control of the device.

[0121] An embodiment of the present application also provides a storage medium storing computer executable instructions, which, when executed by a processor, are used to perform relevant operations in the pulse dust removal control method provided in any embodiment of the present application.

[0122] Computer-readable storage media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0123] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0124] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A pulse dust removal control method, characterized in that: include: Obtain environmental parameter values ​​collected by sensors; Determine a risk score value corresponding to each environmental parameter value according to a first risk interval corresponding to the parameter item to which the environmental parameter value belongs; Determine a current comprehensive risk value based on the risk score value and the weight value corresponding to the parameter item; Determining the risk level corresponding to the comprehensive risk value according to the preset second risk interval; According to the adjustment strategy corresponding to the risk level, the frequency adjustment ratio and the intensity adjustment ratio are selected, and the pulse frequency and the pulse intensity are adjusted.

2. The pulse dust removal control method according to claim 1, characterized in that: The first risk interval includes a high-risk sub-interval, a medium-risk sub-interval and a low-risk sub-interval, the high-risk sub-interval, the medium-risk sub-interval and the low-risk sub-interval respectively correspond to different interval scores, and the interval score corresponding to the high-risk sub-interval, the interval score corresponding to the medium-risk sub-interval and the interval score corresponding to the low-risk sub-interval decrease in sequence; The step of determining the risk score value corresponding to each environmental parameter value according to the first risk interval of the parameter item to which the environmental parameter value belongs includes: Determine the subinterval corresponding to the environmental parameter value according to the numerical ranges corresponding to the high-risk subinterval, the medium-risk subinterval, and the low-risk subinterval of different parameter items; According to the interval score of the sub-interval corresponding to the environmental parameter value, the corresponding interval score is used as the risk score value corresponding to the environmental parameter value.

3. The pulse dust removal control method according to claim 1 or 2, characterized in that: The determining of the current comprehensive risk value based on the risk score value and the weight value corresponding to the parameter item includes: According to the risk score value and weight value corresponding to each parameter item, calculate the product value of each risk score value and the corresponding weight value; Based on the obtained product value, a cumulative sum is calculated and the cumulative sum is used as the current comprehensive risk value.

4. The pulse dust removal control method according to claim 1 or 2, characterized in that: The parameter items include wind pressure, temperature, humidity, operating time and dust concentration, and the weight values ​​corresponding to each parameter item are respectively a first weight value corresponding to wind pressure, a second weight value corresponding to temperature, a third weight value corresponding to humidity, a fourth weight value corresponding to operating time and a fifth weight value corresponding to dust concentration, wherein the sum of the first weight value, the second weight value and the third weight value is 1, and the sum of the fourth weight value and the fifth weight value is 1; The determining of the current comprehensive risk value based on the risk score value and the weight value corresponding to the parameter item includes: Based on the first weight value, the second weight value and the third weight value, calculating a first parameter value obtained by weighted summing each of the risk score values ​​in the first target parameter item and the corresponding weight value, wherein the first target parameter item includes wind pressure, temperature and humidity; Based on the four weight values ​​and the fifth weight value, a second parameter value is calculated by weighted summing each of the risk score values ​​and the corresponding weight values ​​in the second target parameter item, wherein the second target parameter item includes operating time and dust concentration; The first parameter value and the second parameter value are weighted and summed according to a first comprehensive weight corresponding to the first parameter value and a second comprehensive weight corresponding to the second parameter value to determine the comprehensive risk value, and the sum of the first comprehensive weight and the second comprehensive weight is 1.

5. The pulse dust removal control method according to claim 1, characterized in that: The second risk interval includes a first sub-interval, a second sub-interval and a third sub-interval, the first sub-interval, the second sub-interval and the third sub-interval respectively correspond to different numerical ranges, and the values ​​of the first sub-interval are all greater than the values ​​of the second sub-interval, the values ​​of the second sub-interval are all greater than the values ​​of the third sub-interval, and the risk gear includes a first gear, a second gear and a third gear; The step of determining the risk level corresponding to the comprehensive risk value according to the preset second risk interval includes: Comparing the comprehensive risk value according to the numerical ranges corresponding to the first sub-interval, the second sub-interval, and the third sub-interval to determine the sub-interval in which the comprehensive risk value is located; When the comprehensive risk value is in the first sub-interval, determining the corresponding risk level as the first level; When the comprehensive risk value is in the second sub-interval, determining the corresponding risk level as the second level; When the comprehensive risk value is in the third sub-interval, the corresponding risk level is determined to be the third level.

6. The pulse dust removal control method according to claim 1 or 5, characterized in that: The risk gear includes a first gear and a second gear; The step of selecting a frequency adjustment ratio and an intensity adjustment ratio according to the adjustment strategy corresponding to the risk level, and adjusting the pulse frequency and the pulse intensity includes: When it is determined that the risk gear is the first gear, the frequency adjustment ratio is determined to be a first frequency ratio value and the intensity adjustment ratio is determined to be a first intensity ratio value, and the product of the first frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the first intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted; When it is determined that the risk gear is the second gear, the frequency adjustment ratio is determined to be the second frequency ratio value and the intensity adjustment ratio is determined to be the second intensity ratio value, and the product of the second frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the second intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted, the second frequency ratio value is smaller than the first frequency ratio value, and the second intensity ratio value is smaller than the first intensity ratio value.

7. The pulse dust removal control method according to claim 6, characterized in that: The risk level further includes a third level, and the method further includes: When it is determined that the risk gear is the third gear, the frequency adjustment ratio is determined to be a third frequency ratio value and the intensity adjustment ratio is determined to be a third intensity ratio value, and the product of the third frequency ratio value and the maximum frequency value is used as the pulse frequency value to be adjusted, and the product of the third intensity ratio value and the maximum intensity value is used as the pulse intensity value to be adjusted, the third frequency ratio value is less than the second frequency ratio value, and the third intensity ratio value is less than the second intensity ratio value; or, When it is determined that the risk level is the third level, the current pulse frequency and pulse intensity are maintained.

8. A pulse dust removal control device, characterized in that: include: A parameter acquisition module is configured to acquire environmental parameter values ​​collected by sensors; A score acquisition module, configured to determine a risk score value corresponding to each environmental parameter value according to a first risk interval corresponding to the parameter item to which the environmental parameter value belongs; a risk calculation module, configured to determine a current comprehensive risk value based on the risk score value and the weight values ​​corresponding to the parameter items; a gear determination module, configured to determine the risk gear corresponding to the comprehensive risk value according to a preset second risk interval; The parameter adjustment module is configured to select a frequency adjustment ratio and an intensity adjustment ratio according to an adjustment strategy corresponding to the risk level, and adjust the pulse frequency and the pulse intensity.

9. A pulse dust removal control device, characterized in that: include: one or more processors; A storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the pulse dust removal control method as described in any one of claims 1-7.

10. A storage medium storing computer executable instructions, characterized in that: When the computer executable instructions are executed by a processor, they are used to perform the pulse dust removal control method according to any one of claims 1 to 7.

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