Control method and device for variable-frequency dust removal fan

Abstract

The invention discloses a control method and device for a variable-frequency dust removal fan. The method comprises the following steps: acquiring operation state parameters of the industrial smelting equipment; the production stage of the industrial smelting equipment is determined according to the operation state parameters; frequency control parameters, matched with the production stage, of a variable-frequency dust removal fan are determined, and the variable-frequency dust removal fan is used for extracting smoke dust in the industrial smelting equipment to a dust removal system; and adjusting the frequency of the variable-frequency dust removal fan according to the frequency control parameters. According to the invention, the technical problems of low efficiency and poor effect of controlling the variable-frequency dust removal fan by adopting a fixed frequency or manual frequency modulation mode in an industrial smelting scene are solved.

Description

Technical Field

[0001] The present application relates to the technical field of industrial equipment control, and in particular to a control method and device for a variable frequency dust removal fan. Background Art

[0002] In the current industrial Internet field, especially in heavy industrial environments such as steel mills, large environmentally friendly fans are key ventilation and dust removal equipment, and their operating efficiency and energy consumption management have become the focus of enterprises. Traditionally, the frequency modulation of variable frequency fans relies on manual intervention or fixed frequency settings. This rough control method not only increases the consumption of human resources, but also has obvious deficiencies in energy conservation and emission reduction. Especially in the operation cycle of the smelting furnace, the demand for fan air volume in different stages varies significantly, but there is a lack of a control algorithm that can intelligently identify the production stage and automatically adjust the fan frequency accordingly. This not only leads to energy waste, but also fails to fully utilize the energy-saving potential of variable frequency technology, affecting the economic benefits and environmental performance of the enterprise. Therefore, there is an urgent need for a control algorithm that can automatically and intelligently adjust the frequency of variable frequency fans according to the production stage of industrial equipment to achieve a more efficient and energy-saving industrial production environment.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide a control method and device for a variable frequency dust removal fan, so as to at least solve the technical problem of low efficiency and poor effect of controlling a variable frequency dust removal fan by fixed frequency or manual frequency modulation in an industrial smelting scenario.

[0005] According to one aspect of an embodiment of the present application, a control method for a variable frequency dust removal fan is provided, including: obtaining operating status parameters of industrial smelting equipment; determining the production stage of the industrial smelting equipment based on the operating status parameters; determining frequency control parameters of the variable frequency dust removal fan that match the production stage, wherein the variable frequency dust removal fan is used to extract smoke and dust from the industrial smelting equipment into a dust removal system; and adjusting the frequency of the variable frequency dust removal fan based on the frequency control parameters.

[0006] Optionally, the industrial smelting equipment is a steel smelting furnace, which includes: a furnace body, a furnace opener, a chisel, and an air duct, wherein the air duct includes: a plurality of air duct inlets connected to the furnace body and an air duct outlet connected to a variable frequency dust removal fan; the steel smelting furnace and the variable frequency dust removal fan are both located in an operating room, which also includes: a vacuum pump and a dust suction pipe placed around the steel smelting furnace.

[0007] Optionally, obtaining the operating status parameters of the industrial smelting equipment includes: obtaining perception parameters collected by multiple sensors in the industrial smelting equipment, and using all perception parameters as operating status parameters, wherein the type of sensors includes at least one of the following: wind pressure sensors located at the air duct inlet and the air duct outlet, hydraulic sensors located at the furnace opener and the chisel, temperature sensors located at the air duct inlet, and smoke sensors located at the air duct inlet and the dust suction duct.

[0008] Optionally, the production stage of the industrial smelting equipment is determined based on the operating status parameters, including: using a pre-trained analysis model to analyze the operating status parameters to determine the production stage of the industrial smelting equipment, wherein the production stage includes one of the following: preheating stage, smelting furnace stage, furnace cooling stage, and furnace shutdown maintenance stage.

[0009] Optionally, the frequency control parameters of the variable frequency dust removal fan matching the production stage are determined, including: when the production stage is the preheating stage or the furnace cooling stage, the frequency control parameter is determined to be a preset maximum operating frequency; when the production stage is the smelting and furnace exiting stage, the frequency control parameter is determined according to a first preset rule, wherein the first preset rule is used to control the frequency to change over time according to the following rule: within the interval between the preset maximum operating frequency and the preset minimum operating frequency, the frequency first decreases within the first time period and then increases within the second time period, and the first time period is longer than the second time period; when the production stage is the furnace shutdown maintenance stage, the frequency control parameter is determined according to a second preset rule, wherein the second preset rule is used to control the frequency to change over time according to the following rule: within the interval between the preset maximum operating frequency and the preset minimum operating frequency, the frequency first decreases within the third time period and then increases within the fourth time period, and the third time period is shorter than the fourth time period.

[0010] Optionally, determining the frequency control parameter according to the first preset rule includes: outputting the frequency control parameter according to the following formula: Where y represents the calculated frequency control parameter, x = t 2 -(t 1 -t 0 ), t 0 Indicates the time when industrial smelting equipment enters the smelting and furnace-out stage, t 1 represents the current time, t 2 Indicates the duration of the smelting furnace phase, A indicates the preset minimum operating frequency, B indicates the preset maximum operating frequency, C 1 , D 1 It is a parameter determined according to the duration of the smelting out-of-furnace stage.

[0011] Optionally, determining the frequency control parameter according to the second preset rule includes: outputting the frequency control parameter according to the following formula: Where y represents the calculated frequency control parameter, x = t 4 -t 3 , t 3 Indicates the start time of industrial smelting equipment entering the shutdown maintenance phase, t 4 Indicates the current moment, A indicates the preset minimum operating frequency, B indicates the preset maximum operating frequency, C 2 , D 2 It is a parameter determined according to the duration of the shutdown maintenance phase.

[0012] According to another aspect of an embodiment of the present application, a control device for a variable frequency dust removal fan is also provided, including: an acquisition module for acquiring operating status parameters of industrial smelting equipment; a stage determination module for determining the production stage of the industrial smelting equipment based on the operating status parameters; a frequency determination module for determining the frequency control parameters of the variable frequency dust removal fan that matches the production stage, wherein the variable frequency dust removal fan is used to extract smoke from the industrial smelting equipment into a dust removal system; and a control module for adjusting the frequency of the variable frequency dust removal fan based on the frequency control parameters.

[0013] According to another aspect of the embodiments of the present application, a computer program product is further provided, the computer program product comprising: a computer program, wherein when the computer program is executed by a processor, the control method of the variable frequency dust removal fan is implemented.

[0014] According to another aspect of an embodiment of the present application, an electronic device is further provided, comprising: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the above-mentioned control method of the variable frequency dust removal fan through the computer program.

[0015] In the embodiment of the present application, by obtaining the operating status parameters of the industrial smelting equipment, real-time analysis and accurate judgment of the current production stage of the equipment, this intelligent matching technology effectively solves the problem that traditional control methods cannot respond to changes in production stages in a timely manner, so that the operating frequency of the variable frequency dust removal fan can be closely matched with actual production needs, ensuring that it can respond with the optimal operating status at any stage, thereby improving the overall operating efficiency and energy utilization efficiency. According to the real-time analysis of the production stage, the frequency control parameters of the variable frequency dust removal fan that are suitable for it are dynamically determined. This dynamic adjustment mechanism can automatically adjust the fan frequency according to the characteristics of the production stage (such as smoke generation, temperature changes, wind pressure requirements, etc.), avoiding the waste or shortage of resources that may exist under fixed frequency control. Especially in the smelting furnace stage and the shutdown maintenance stage, by optimizing the frequency change curve, the fan can meet the dust removal needs while minimizing energy consumption, thereby achieving the goal of energy conservation and emission reduction. By dynamically matching the frequency adjustment of the production stage, the variable frequency dust removal fan can significantly reduce the energy consumption in actual application, thereby solving the technical problem of low efficiency and poor effect of controlling the variable frequency dust removal fan by fixed frequency or manual frequency modulation in industrial smelting scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 It is a flow chart of an optional control method of a variable frequency dust removal fan according to an embodiment of the present application;

[0018] Figure 2 is a schematic diagram of an optional structure of an additional sensor according to an embodiment of the present application;

[0019] Figure 3 is a schematic diagram of another optional structure of adding a sensor according to an embodiment of the present application;

[0020] Figure 4 is a schematic structural diagram of an optional control device for a variable frequency dust removal fan according to an embodiment of the present application;

[0021] Figure 5 It is a schematic diagram of the structure of an optional electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification, claims and drawings of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] Example 1

[0025] According to an embodiment of the present application, a control method for a variable frequency dust removal fan is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] Figure 1 is a flow chart of a control method of a variable frequency dust removal fan provided in an embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0027] Step S102, obtaining operating status parameters of industrial smelting equipment;

[0028] Step S104, determining the production stage of the industrial smelting equipment according to the operating status parameters;

[0029] Step S106, determining the frequency control parameters of the variable frequency dust removal fan that matches the production stage, wherein the variable frequency dust removal fan is used to extract smoke and dust from the industrial smelting equipment to the dust removal system;

[0030] Step S108, adjusting the frequency of the variable frequency dust removal fan according to the frequency control parameter.

[0031] The following describes the various steps of the control method of the variable frequency dust removal fan in combination with a specific implementation process.

[0032] First, the operating status parameters of the industrial smelting equipment are obtained.

[0033] The process of obtaining the operating status parameters of industrial smelting equipment mainly relies on various sensors deployed in the steel smelting furnace and its surrounding environment. These sensors can monitor and collect key perception parameters in real time, thereby providing a basis for decision-making in the algorithm.

[0034] As an optional embodiment, the industrial smelting equipment is a steel smelting furnace, which includes: a furnace body, a furnace opener, a chisel, and an air duct. The air duct includes: a plurality of air duct inlets connected to the furnace body and an air duct outlet connected to a variable frequency dust removal fan; the steel smelting furnace and the variable frequency dust removal fan are both located in an operating room, which also includes: a vacuum pump and a dust suction pipe placed around the steel smelting furnace.

[0035] As an optional implementation, obtaining the operating status parameters of the industrial smelting equipment may include the following process: obtaining the perception parameters collected by multiple sensors in the industrial smelting equipment, and using all the perception parameters as the operating status parameters, wherein the types of sensors include at least one of the following: wind pressure sensors located at the air duct inlet and the air duct outlet, hydraulic sensors located at the furnace opener and the chisel, temperature sensors located at the air duct inlet, and smoke sensors located at the air duct inlet and the dust suction pipe. The schematic diagram of the general installation of sensors is as follows: Figure 2 As shown, in actual scenarios, the implementation structure diagram is closer to Figure 3 As shown, in Figure 3 The smoke content sensor is the smoke sensor, the pressure gauge is the hydraulic sensor, and the temperature sensor ( Figure 3 not shown).

[0036] It can be understood that wind pressure sensors are installed at the entrance and exit of the air duct. These sensors can continuously monitor the pressure changes in the air duct and reflect the air volume. The data acquisition module periodically reads the data of the wind pressure sensor and converts the collected pressure value into a digital signal that the system can understand. The hydraulic sensor is installed near the furnace opener and chisel to monitor the hydraulic changes of these devices during the opening and closing of the furnace door. Through the data acquisition module, the hydraulic sensor transmits the working pressure data of the hydraulic system to the control system in real time. The temperature sensor should be located near the entrance of the air duct to monitor the gas temperature at the entrance of the air duct, which helps to predict the combustion situation in the furnace. The data of the temperature sensor is also transmitted to the control system through the data acquisition module for subsequent analysis and decision-making. The smoke sensor is installed in the entrance of the air duct and the dust suction pipe to monitor the smoke concentration and ensure compliance with environmental protection standards. The data collected by the smoke sensor can reflect the working status of the steel smelting furnace, especially when a large amount of smoke is generated in the furnace, indicating that the fan needs to increase the air volume.

[0037] The vacuum pump and the dust suction pipe assist in dust removal. By monitoring the operating status of the vacuum pump and the pressure in the dust suction pipe, the efficiency of the dust removal system can be indirectly understood. The monitoring data can be used to adjust the operation of the variable frequency fan to ensure the effectiveness and economy of the dust removal system.

[0038] After obtaining the operating parameters, the production stage of the industrial smelting equipment is determined according to the operating status parameters. The process can be carried out in the following steps:

[0039] The pre-trained analysis and judgment model is used to analyze the operating status parameters to determine the production stage of the industrial smelting equipment. The production stage includes one of the following: preheating stage, smelting furnace stage, furnace cooling stage, and furnace shutdown maintenance stage.

[0040] Among them, the raw data collected by the sensor can also be preprocessed before entering the judgment model. This includes data cleaning (removing invalid or erroneous data), data conversion (converting various physical quantities into a unified numerical format to facilitate model understanding), data normalization (unifying the data range to avoid the numerical size of certain parameters affecting the judgment results of the model), etc. The preprocessed data will be used as the input of the judgment model.

[0041] The pre-trained analysis and judgment model is trained based on historical data and expert experience. It can identify the production stage of the equipment according to the input operating status parameters. The model types may include but are not limited to neural networks, support vector machines, decision trees or integrated learning models. These models can accurately classify the current production status by learning the correlation between the characteristic parameters of different production stages (such as wind pressure, temperature, smoke concentration, etc.).

[0042] The pre-processed operating status parameters are input into the judgment model. The model will compare the input data pattern with the pattern learned during the previous training to determine the current production stage. For example, if the model detects that the wind pressure suddenly drops and the temperature rises, it may be judged that the equipment is in the preheating stage. If the wind pressure and smoke concentration are detected to rise at the same time, it may be judged that the equipment is in the smelting furnace stage. Based on the output results of the model, the specific production stage of the industrial smelting equipment is determined. Each stage has its specific signs and characteristics, such as:

[0043] Preheating stage: the temperature inside the furnace gradually rises, the wind pressure and air volume may be small, and the smoke concentration is low.

[0044] Smelting out of the furnace stage: the furnace body reaches a high temperature, the wind pressure and air volume increase to meet the smelting needs, and the smoke concentration and temperature are both high.

[0045] Furnace cooling stage: After smelting, the furnace needs to be cooled. At this time, the wind pressure and air volume gradually decrease, and the temperature begins to drop.

[0046] Shutdown maintenance phase: The equipment is in a non-operating state for maintenance, all parameters are at low levels, and there may be equipment shutdown signals.

[0047] In order to improve the accuracy and reliability of the model, the judgment results of the model can be compared with the manual inspection of the field engineer. If inconsistencies are found, the model can be corrected by manual annotation, or the training data set of the model can be adjusted to further optimize the performance of the model. As time goes by and data accumulates, the accuracy of the model may be further improved. Therefore, the model can be retrained regularly to adapt to changes and improvements in the operating status of industrial equipment.

[0048] After determining the production stage, determine the frequency control parameters of the variable frequency dust removal fan that matches the production stage. The variable frequency dust removal fan is used to extract the smoke from the industrial smelting equipment to the dust removal system. The process can take the following steps:

[0049] When the production stage is the preheating stage or the furnace cooling stage, the frequency control parameter is determined to be the preset maximum operating frequency. It can be understood that since the demand for air volume in these two stages is relatively low and stable, the frequency control parameter of the variable frequency dust removal fan can be directly set to the preset maximum operating frequency. The purpose of this is to ensure that in these stages, the fan can maintain sufficient air volume to meet basic ventilation and cooling needs while avoiding unnecessary energy consumption.

[0050] When the production stage is the smelting furnace-out stage, the frequency control parameter is determined according to the first preset rule, wherein the first preset rule is used to control the frequency to change with time according to the following rule: within the interval between the preset maximum operating frequency and the preset minimum operating frequency, it first decreases in the first time period and then increases in the second time period, and the first time period is longer than the second time period. It can be understood that the frequency gradually changes with time, first decreases from the highest operating frequency, and then increases again after a period of time, wherein the decreasing time period is longer than the increasing time period. This regularly changing frequency control strategy is intended to adapt to the characteristics of the smoke generation amount first increasing and then decreasing in the smelting furnace-out stage. The frequency control parameter is determined according to the first preset rule, and the frequency control parameter can be output according to the following formula:

[0051]

[0052] Where y represents the calculated frequency control parameter, x = t 2 -(t 1 -t 0 ), t 0 Indicates the time when industrial smelting equipment enters the smelting and furnace-out stage, t 1 represents the current time, t 2 Indicates the duration of the smelting furnace phase, A indicates the preset minimum operating frequency, B indicates the preset maximum operating frequency, C 1 , D 1 This parameter is determined based on the duration of the smelting furnace stage. It is used to fine-tune the frequency change curve to ensure that the fan operation meets the dust removal requirements and achieves energy-saving effects.

[0053] When the production stage is the shutdown maintenance stage, the frequency control parameter is determined according to the second preset rule, wherein the second preset rule is used to control the frequency to change with time according to the following rule: within the interval between the preset maximum operating frequency and the preset minimum operating frequency, it first decreases in the third time period and then increases in the fourth time period, and the third time period is shorter than the fourth time period. The frequency change rule in this stage is opposite to that in the smelting furnace stage. The frequency first decreases rapidly in a short period of time and then increases slowly to adapt to the low smoke generation and gradual resumption of production during the shutdown maintenance period. The frequency control parameter is determined according to the second preset rule, and the frequency control parameter can be output according to the following formula:

[0054]

[0055] Where y represents the calculated frequency control parameter, x = t 4 -t 3 , t 3 Indicates the start time of industrial smelting equipment entering the shutdown maintenance phase, t 4Indicates the current moment, A indicates the preset minimum operating frequency, B indicates the preset maximum operating frequency, C 2 , D 2 This parameter is determined according to the duration of the shutdown maintenance phase. This parameter ensures that the fan can operate in an energy-saving manner during the maintenance phase and smoothly transition to the operating frequency required for normal production after the maintenance is completed.

[0056] In the above two stages, the parameter C 1 , D 1 , C 2 , D 2 The setting needs to be adjusted according to the actual operation cycle and characteristics of industrial smelting equipment to ensure that the frequency change curve can meet the actual needs and achieve energy saving goals. Real-time monitoring of time changes in the system ensures that the calculation of frequency control parameters can accurately reflect the time position of the equipment in the stage.

[0057] After the frequency control parameters are obtained in the above manner, the frequency of the variable frequency dust removal fan is adjusted according to the frequency control parameters.

[0058] For example, the calculated frequency control parameters are sent to the inverter in real time through the communication module in the control system to ensure that the inverter receives the latest control instructions. After receiving the frequency control parameters from the control system, the inverter decodes them and identifies the specific frequency requirements. There is a set of decoding logic inside the inverter that can convert digital signals into specific frequency setting values. The inverter adjusts the AC power frequency output to the motor according to the received frequency control parameters. The frequency adjustment is a dynamic process that requires the inverter to respond quickly to ensure that the fan frequency can change smoothly according to the parameters output by the algorithm. The motor receives the AC power adjusted by the inverter. After the electrical frequency is changed, its speed will change accordingly. This process is the basic principle of motor control, that is, the speed of the motor is changed by changing the power supply frequency, thereby changing the air volume of the fan. During the fan frequency adjustment process, the actual frequency of the fan is monitored in real time to ensure that it is consistent with the set frequency control parameters. This is usually achieved through a speed sensor or encoder installed on the fan. The sensor will feed back the actual speed information of the fan to the control system for correction and fine-tuning. In addition, the adjustment of the frequency control parameters needs to take into account the response time of the fan to ensure that the fan can smoothly transition to the new operating frequency and avoid damage to the fan caused by excessive frequency fluctuations.

[0059] Furthermore, during the entire production phase, the control system can continuously monitor the operating status of the fan and the production parameters of the industrial smelting equipment. If the production conditions change, the control system will recalculate the frequency control parameters and send them to the frequency converter again to ensure that the frequency of the fan can adapt to production needs and energy-saving goals in real time. During the frequency adjustment process, the system should also have a safety and protection mechanism to ensure that the fan will not be damaged due to rapid changes in frequency or exceeding its operating range. For example, set a rate limit for frequency change to avoid motor overload or bearing impact. In order to continuously optimize the control strategy, the system should record the parameters and fan response during each frequency adjustment process, including frequency control parameters, actual frequency, adjustment time, and production stage information. These data can be used for subsequent analysis, evaluation of energy-saving effects, and adjustment of models and algorithms to improve control accuracy and energy-saving efficiency.

[0060] In the embodiment of the present application, by continuously acquiring the operating status parameters of the industrial smelting equipment, real-time analysis and accurate judgment of the current production stage of the equipment, this intelligent matching technology effectively solves the problem that traditional control methods cannot respond to changes in production stages in a timely manner, so that the operating frequency of the variable frequency dust removal fan can be closely matched with actual production needs, ensuring that it can respond with the optimal operating status at any stage, thereby improving overall operating efficiency and energy utilization efficiency. According to the real-time analysis of the production stage, the frequency control parameters of the variable frequency dust removal fan that are suitable for it are dynamically determined. This dynamic adjustment mechanism can automatically adjust the fan frequency according to the characteristics of the production stage (such as smoke generation, temperature changes, wind pressure requirements, etc.), avoiding the waste or shortage of resources that may exist under fixed frequency control. Especially in the smelting furnace stage and the shutdown maintenance stage, by optimizing the frequency change curve, the fan can meet the dust removal needs while minimizing energy consumption, thereby achieving the goal of energy conservation and emission reduction. By dynamically matching the frequency adjustment of the production stage, the variable frequency dust removal fan can significantly reduce the energy consumption in actual application, thereby solving the technical problem of low efficiency and poor effect of controlling the variable frequency dust removal fan by fixed frequency or manual frequency modulation in industrial smelting scenarios.

[0061] Example 2

[0062] According to an embodiment of the present application, a control device for a variable frequency dust removal fan is also provided for implementing the control method for the variable frequency dust removal fan in Example 1, such as Figure 4 As shown, the control device of the variable frequency dust removal fan at least includes: an acquisition module 41, a stage determination module 42, a frequency determination module 43 and a control module 44, wherein:

[0063] An acquisition module 41 is used to acquire operating status parameters of industrial smelting equipment;

[0064] A stage determination module 42, for determining the production stage of the industrial smelting equipment according to the operating state parameters;

[0065] A frequency determination module 43, for determining a frequency control parameter of a variable frequency dust removal fan that matches the production stage, wherein the variable frequency dust removal fan is used to extract smoke from industrial smelting equipment to a dust removal system;

[0066] The control module 44 is used to adjust the frequency of the variable frequency dust removal fan according to the frequency control parameter.

[0067] The functions of each module of the control device of the variable frequency dust removal fan are explained below in conjunction with a specific implementation process.

[0068] The acquisition module acquires the operating status parameters of the industrial smelting equipment;

[0069] As an optional embodiment, the industrial smelting equipment is a steel smelting furnace, which includes: a furnace body, a furnace opener, a chisel, and an air duct. The air duct includes: a plurality of air duct inlets connected to the furnace body and an air duct outlet connected to a variable frequency dust removal fan; the steel smelting furnace and the variable frequency dust removal fan are both located in an operating room, which also includes: a vacuum pump and a dust suction pipe placed around the steel smelting furnace.

[0070] As an optional implementation, obtaining operating status parameters of industrial smelting equipment includes: obtaining perception parameters collected by multiple sensors in the industrial smelting equipment, and using all perception parameters as operating status parameters, wherein the types of sensors include at least one of the following: wind pressure sensors located at the air duct inlet and the air duct outlet, hydraulic sensors located at the furnace opener and the chisel, temperature sensors located at the air duct inlet, and smoke sensors located at the air duct inlet and the dust suction pipe.

[0071] After obtaining the operating parameters, the stage determination module determines the production stage of the industrial smelting equipment according to the operating status parameters. The process can be carried out in the following steps:

[0072] The pre-trained analysis and judgment model is used to analyze the operating status parameters to determine the production stage of the industrial smelting equipment. The production stage includes one of the following: preheating stage, smelting furnace stage, furnace cooling stage, and furnace shutdown maintenance stage.

[0073] After determining the production stage, the frequency determination module determines the frequency control parameters of the variable frequency dust removal fan that matches the production stage, wherein the variable frequency dust removal fan is used to extract the smoke dust in the industrial smelting equipment to the dust removal system. The process can take the following steps:

[0074] When the production stage is a preheating stage or a furnace cooling stage, the frequency control parameter is determined to be a preset maximum operating frequency;

[0075] When the production stage is the smelting furnace stage, the frequency control parameter is determined according to the first preset rule, wherein the first preset rule is used to control the frequency to change over time according to the following rule: within the interval between the preset maximum operating frequency and the preset minimum operating frequency, it first decreases in the first time period and then increases in the second time period, and the first time period is longer than the second time period. The frequency control parameter is determined according to the first preset rule, and the frequency control parameter can be output according to the following formula:

[0076]

[0077] Where y represents the calculated frequency control parameter, x = t 2 -(t 1 -t 0 ), t 0 Indicates the time when industrial smelting equipment enters the smelting and furnace-out stage, t 1 represents the current time, t 2 Indicates the duration of the smelting furnace phase, A indicates the preset minimum operating frequency, B indicates the preset maximum operating frequency, C 1 , D 1 It is a parameter determined according to the duration of the smelting out-of-furnace stage.

[0078] When the production stage is the shutdown maintenance stage, the frequency control parameter is determined according to the second preset rule, wherein the second preset rule is used to control the frequency to change over time according to the following rule: within the interval between the preset maximum operating frequency and the preset minimum operating frequency, the frequency first decreases in the third time period and then increases in the fourth time period, and the third time period is shorter than the fourth time period. The frequency control parameter is determined according to the second preset rule, and the frequency control parameter can be output according to the following formula:

[0079]

[0080] Where y represents the calculated frequency control parameter, x = t 4 -t 3 , t 3 Indicates the start time of industrial smelting equipment entering the shutdown maintenance phase, t 4 Indicates the current moment, A indicates the preset minimum operating frequency, B indicates the preset maximum operating frequency, C 2 , D 2 It is a parameter determined according to the duration of the shutdown maintenance phase.

[0081] After the frequency control parameters are obtained in the above manner, the control module adjusts the frequency of the variable frequency dust removal fan according to the frequency control parameters.

[0082] It should be noted that each module in the control device of the variable frequency dust removal fan in the embodiment of the present application corresponds one by one to each implementation step of the control method of the variable frequency dust removal fan in Example 1. Since a detailed description has been given in Example 1, some details not reflected in this embodiment can be referred to Example 1 and will not be repeated here.

[0083] Example 3

[0084] According to an embodiment of the present application, a computer program product is also provided, which includes a computer program, wherein when the computer program is executed by a processor, the control method of the variable frequency dust removal fan in Example 1 is implemented.

[0085] According to an embodiment of the present application, a non-volatile storage medium is also provided, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the control method of the variable frequency dust removal fan in Example 1 by running the computer program.

[0086] According to an embodiment of the present application, a processor is also provided, which is used to run a computer program, wherein the control method of the variable frequency dust removal fan in Example 1 is executed when the computer program is running.

[0087] According to an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the control method of the variable frequency dust removal fan in Example 1 through the computer program.

[0088] Specifically, when the computer program is running, the following steps are executed: obtaining the operating status parameters of the industrial smelting equipment; determining the production stage of the industrial smelting equipment based on the operating status parameters; determining the frequency control parameters of the variable frequency dust removal fan that matches the production stage, wherein the variable frequency dust removal fan is used to extract the smoke and dust in the industrial smelting equipment into the dust removal system; and adjusting the frequency of the variable frequency dust removal fan based on the frequency control parameters.

[0089] As an optional implementation, the electronic device may be in the form of a mobile terminal, a computer terminal or a similar computing device. Figure 5 The hardware structure block diagram of an electronic device for implementing a control method for a variable frequency dust removal fan is shown. Figure 5As shown, the electronic device 50 may include one or more (502a, 502b, ..., 502n are used to illustrate) processors 502 (the processor 502 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 504 for storing data, and a transmission device 506 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 5 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 5 More or fewer components as shown, or with Figure 5 Different configurations shown.

[0090] It should be noted that the one or more processors 502 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the electronic device 50. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0091] The memory 504 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the control method of the variable frequency dust removal fan in the embodiment of the present application. The processor 502 executes various functional applications and data processing by running the software programs and modules stored in the memory 504, that is, realizing the vulnerability detection method of the above-mentioned application. The memory 504 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 504 may further include a memory remotely arranged relative to the processor 502, and these remote memories may be connected to the electronic device 50 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 a combination thereof.

[0092] The transmission device 506 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the electronic device 50. In one example, the transmission device 506 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 506 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0093] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the electronic device 50 .

[0094] The serial numbers of the above embodiments are only for description and do not represent the advantages or disadvantages of the embodiments.

[0095] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0096] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0097] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0098] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0099] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), mobile hard disk, disk or optical disk, etc., which can store program code.

[0100] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A control method for a variable frequency dust removal fan, characterized in that: include: Obtain operating status parameters of industrial smelting equipment; Determining the production stage of the industrial smelting equipment according to the operating status parameters; Determining frequency control parameters of a variable frequency dust removal fan that matches the production stage, wherein the variable frequency dust removal fan is used to extract smoke and dust from the industrial smelting equipment to a dust removal system; The frequency of the variable frequency dust removal fan is adjusted according to the frequency control parameter.

2. The method according to claim 1, characterized in that The industrial smelting equipment is a steel smelting furnace, which includes: a furnace body, a furnace opener, a chisel, and an air duct, wherein the air duct includes: a plurality of air duct inlets connected to the furnace body and an air duct outlet connected to the variable frequency dust removal fan; The steel smelting furnace and the variable frequency dust removal fan are both located in an operation room, and the operation room also includes: a vacuum pump and a dust suction pipe placed around the steel smelting furnace.

3. The method according to claim 2, characterized in that Obtain the operating status parameters of industrial smelting equipment, including: Acquire the perception parameters collected by multiple sensors in the industrial smelting equipment, and use all the perception parameters as the operating status parameters, wherein the types of the sensors include at least one of the following: a wind pressure sensor located at the air duct inlet and the air duct outlet, a hydraulic sensor located at the furnace opener and the chisel, a temperature sensor located at the air duct inlet, and a smoke sensor located at the air duct inlet and the dust suction pipe.

4. The method according to claim 1, characterized in that: Determining the production stage of the industrial smelting equipment according to the operating status parameter includes: The operating status parameters are analyzed using a pre-trained analysis and judgment model to determine the production stage of the industrial smelting equipment, wherein the production stage includes one of the following: preheating stage, smelting furnace stage, furnace cooling stage, and furnace shutdown maintenance stage.

5. The method according to claim 4, characterized in that Determine the frequency control parameters of the variable frequency dust removal fan that match the production stage, including: When the production stage is the preheating stage or the furnace cooling stage, determining the frequency control parameter to be a preset maximum operating frequency; In the case where the production stage is the smelting furnace-out stage, the frequency control parameter is determined according to a first preset rule, wherein the first preset rule is used to control the frequency to change over time according to the following rule: within the interval between a preset maximum operating frequency and a preset minimum operating frequency, the frequency first decreases in a first time period and then increases in a second time period, and the first time period is longer than the second time period; When the production stage is the shutdown maintenance stage, the frequency control parameter is determined according to a second preset rule, wherein the second preset rule is used to control the frequency to change over time according to the following rule: within the interval between a preset maximum operating frequency and a preset minimum operating frequency, first decrease in a third time period and then increase in a fourth time period, and the third time period is shorter than the fourth time period.

6. The method according to claim 5, characterized in that Determining the frequency control parameter according to a first preset rule includes: The frequency control parameters are output according to the following formula: In the formula, y represents the calculated frequency control parameter, x=t2-(t1-t0), t0 represents the start time when the industrial smelting equipment enters the smelting and furnace-out stage, t1 represents the current time, t2 represents the duration of the smelting and furnace-out stage, A represents the preset minimum operating frequency, B represents the preset maximum operating frequency, C1 and D1 are parameters determined according to the duration of the smelting and furnace-out stage.

7. The method according to claim 5, characterized in that Determining the frequency control parameter according to a second preset rule includes: The frequency control parameters are output according to the following formula: In the formula, y represents the calculated frequency control parameter, x=t4-t3, t3 represents the starting time when the industrial smelting equipment enters the shutdown maintenance stage, t4 represents the current time, A represents the preset minimum operating frequency, B represents the preset maximum operating frequency, C2 and D2 are parameters determined according to the duration of the shutdown maintenance stage.

8. A control device for a variable frequency dust removal fan, characterized in that: include: An acquisition module is used to obtain operating status parameters of industrial smelting equipment; A stage determination module, used to determine the production stage of the industrial smelting equipment according to the operating state parameters; A frequency determination module, used to determine the frequency control parameters of a variable frequency dust removal fan that matches the production stage, wherein the variable frequency dust removal fan is used to extract smoke from the industrial smelting equipment to a dust removal system; A control module is used to adjust the frequency of the variable frequency dust removal fan according to the frequency control parameter.

9. A computer program product, characterized in that include: A computer program, wherein when the computer program is executed by a processor, the control method of the variable frequency dust removal fan according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the control method of the variable frequency dust removal fan according to any one of claims 1 to 7 through the computer program.

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