Intelligent measurement and control system based on big data

Abstract

The invention discloses an intelligent measurement and control method based on big data, and the method comprises the following steps: 1, collecting flue gas and dust in the whole production process of a refining workshop of a steel mill by combining a differential exhaust fume collecting hood with a furnace front flow guide hood, and conveying the collected flue gas and dust to a dust removal measurement and control equipment terminal through a dust removal pipeline; 2, diffusing and expanding the flue gas along with the completion of each engineering sequence in the refining process of the steel mill, and analyzing key influence factors in a dust trapping stage; 3, dust removal parameter management of different dust removal measurement and control equipment terminals is carried out based on the flue gas dust concentration value; 4, analyzing the influence of working conditions on the dust concentration of the dust removal measurement and control equipment terminal by changing atomization conditions including water pressure and air pressure, and determining the optimal working condition of the whole dust removal measurement and control equipment terminal; the problem of measurement and control data errors caused by gradual reduction of the measurement and control precision of the dust removal measurement and control equipment is solved, and the method has the characteristic of improving the reliability and the precision of the measurement and control equipment in the dust removal environment.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent measurement and control of enterprise dust removal environments, and specifically to an intelligent measurement and control system based on big data. Background Art

[0002] For enterprises, dust control is a crucial facility for protecting the environment and employee health. Assessing, measuring, controlling, and monitoring dust collection capacity are key to ensuring proper operation and achieving the desired results of ultra-low emission transformation. During actual assessment and monitoring, scale dust is generated during the hot rolling of plate, strip, and bar. Its quantity and characteristics depend in part on the steel grade, rolling temperature, and rolling speed. Typically, the most severe dust generation occurs in the last three or four stands of a continuous finishing mill, or during high-speed rolling passes in Steckel or plate mills. High-speed rolling creates a natural "fan" phenomenon, blowing fine dust throughout the workshop, covering all accessible equipment. Due to the electrical conductivity and wear-inducing properties of dust, existing monitoring and control equipment in dust removal environments has a short service life and high maintenance costs. Furthermore, over time, the equipment's measurement and control accuracy decreases, leading to errors in measurement and control data. Therefore, it is necessary to design a big data-based intelligent measurement and control system that reduces maintenance costs and improves the reliability of measurement and control equipment in dust removal environments. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent measurement and control system based on big data to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent measurement and control method based on big data, comprising the following steps:

[0005] Step 1: Use a differential smoke hood combined with a furnace-front draft hood to capture flue gas dust from the entire production process of the steel plant's refining workshop and transport it to the dust removal measurement and control equipment terminal through the dust removal pipeline;

[0006] Step 2: During the steel mill refining process, the flue gas expands as each process sequence is completed, and the key influencing factors of the dust capture stage are analyzed;

[0007] Step 3: Manage dust removal parameters of different dust removal measurement and control equipment terminals based on flue gas dust concentration values;

[0008] Step 4: Analyze the impact of working conditions on the dust concentration at the dust removal and control equipment terminal by changing the atomization conditions including water pressure and air pressure, and determine the optimal working conditions of the entire dust removal and control equipment terminal.

[0009] According to the above technical solution, the steps of capturing the flue gas and dust during the entire production process of the steel plant refining workshop include:

[0010] Install sensors for monitoring dust removal equipment at designated collection points throughout the steel plant's refining workshop, along with collection boards that aggregate and transmit sensor data.

[0011] Customized sampling is achieved by turning on or off corresponding channels;

[0012] Mainly monitor the changes in flue gas flow and dust concentration data.

[0013] According to the above technical solution, the capture step of the flue gas dust includes:

[0014] During converter steelmaking, which includes charging, blowing and tapping procedures, a second dust collection is performed through a closed dust hood;

[0015] The converter secondary flue gas, flux and ferroalloy systems all use closed hoods to collect flue gas and dry dust removal;

[0016] The fine dust particles in the flue gas are charged by the discharge of the electrode plate and adsorbed on the dust collecting electrode by the electric field force. Finally, the fine particles adsorbed by the dust collecting electrode fall into the ash hopper and capture the corresponding dust-laden flue gas.

[0017] The waste gas at the kiln tail during the process of the preheated secondary air entering the kiln is absorbed and captured by the dust removal pipeline;

[0018] When the acquisition board generates and summarizes data, the server will receive the data uploaded by the acquisition board via the network. The data is collected from the sensor device until it enters the database and is transmitted to the dust removal measurement and control equipment terminal.

[0019] According to the above technical solution, the step of analyzing the key influencing factors in the dust capture stage includes:

[0020] Analyze the dust pollutant concentration in the company's sintering workshop environment and analyze the valve switching situation according to different production conditions;

[0021] Then, based on the air volume requirements under different production conditions, a comprehensive assessment is conducted based on the actual air volume at key dust collection points and the dust concentration monitoring data deployed;

[0022] The collected flue gas condition sensor monitoring data is processed and analyzed. By adopting the filter membrane method, a certain volume of dust gas is collected using a sampler, and the dust is adsorbed on a filter membrane of known mass. Based on the increase in filter membrane mass and the amount of dust gas collected, the dust mass contained in a unit volume of air is calculated.

[0023] According to the above technical solution, the step of analyzing the dust pollutant concentration includes:

[0024] During the smelting process, the rotation speed of the main fan is changed according to the difference in the order of smoke generation and the amount of dust-laden smoke gas generated. On the basis of ensuring the smelting quality and smoke exhaust effectiveness, the energy consumption in the process and the energy loss of the main fan are reduced. The smoke emission concentration depends on the dust removal efficiency of the dust removal measurement and control equipment terminal under the design value, which in turn depends on whether the size of the smoke resistance deposited on the plate is equal to or close to the optimal value. When the smoke resistance value is too large, the smoke conditioning method is adopted to adjust the smoke temperature or humidity and add other conditioning agents to reduce the smoke resistivity. When burning high-resistance smoke fuel, chemical conditioning agents are injected into the smoke to adjust the smoke resistance to the ideal range. At this time, the dust concentration Q is calculated: Among them, m2 is the mass of the filter membrane before collection in the collector, m1 is the mass of the filter membrane after collection in the collector, n is the dust flow rate collected by the collector, and t is the sampling time. Since the mass unit of dust is mg, the unit is multiplied by 1000. Hierarchical analysis is used to judge the relative importance of each of the relevant influencing factors. The judgment is expressed in the form of a mathematical matrix to form a judgment matrix to determine whether the flue gas dust concentration in the entire production process of the steel plant refining workshop is within the normal threshold range.

[0025] According to the above technical solution, the step of determining the optimal working condition of the entire dust removal measurement and control equipment terminal includes:

[0026] Step 41: Use filter materials to retain and separate solid and liquid particles in the dust-laden gas, adsorb harmful gases, and alternate between the filtering process and the cleaning process;

[0027] Step 42: When the dust removal measurement and control equipment terminal is put into operation, the pipeline pressure difference data collected by the differential pressure transmitter is compared with the limit value set on the monitoring screen;

[0028] Step 43: When the pipeline pressure difference exceeds the limit, the pulse valve is activated to clean the dust and capture the dust through water spray. The water spray is sprayed from the mill outlet, using various water pressures and using the compressed air or steam in the trial to create a water mist barrier to prevent dust from penetrating.

[0029] Step 44: The position and number of nozzles are adjusted at high frequency to achieve a better effect in preventing dust diffusion. Dust is generated at the exit of the rolling mill work rolls by the rolled product. The dust removal nozzles and equipment form a dust restriction zone in a local area. Within this zone, the nozzles are set to spray water droplets of the correct size to provide the minimum water particle movement speed under low pressure conditions.

[0030] Step 45: When using pressure spray, higher fluid pressure can produce smaller droplet size. Compressed air is used to break water into droplets of appropriate size and speed, controlling the maximum dust capture rate of the entire droplet.

[0031] Step 46: Set the correct operating pressure according to different operating conditions, use a larger angle nozzle to completely cover the dust area, set the spray angle between 100 and 120 degrees, and place the nozzle in the dust generation and emission areas, that is, the top, bottom and sides, to achieve the best overall dust suppression;

[0032] Step 47: Through the analysis of atomization control, the pressure feedback control method is used to achieve stable control of the spray pressure, making the atomization efficient. In this way, the iron oxide dust is purified by bonding with the dust. While keeping other conditions unchanged, the effects of different atomization water pressures and atomization air pressures on the dust concentration at the dust removal and control equipment terminal are tested respectively. As the dust concentration in the workshop continues to increase with the atomization water pressure, the dust concentration generally shows a downward trend. Therefore, while adjusting the parameters to obtain higher dust removal efficiency, it also ensures lower energy consumption at the dust removal and control equipment terminal.

[0033] According to the above technical solution, the intelligent measurement and control system includes:

[0034] The flue gas dust measurement, control and capture module is used to capture flue gas dust throughout the entire production process of the steel plant's refining workshop using a differential smoke collection hood combined with a furnace-front draft hood;

[0035] Key influencing factor analysis module, used to analyze the key influencing factors in the dust capture stage;

[0036] The measurement and control parameter management module is used to manage the dust removal measurement and control parameters of different dust removal measurement and control equipment terminals based on the flue gas dust concentration value.

[0037] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention captures the flue gas dust in the entire production process of the steel plant refining workshop, analyzes the key influencing factors in the dust capture stage, uses hierarchical analysis to judge the relative importance of the relevant influencing factors, and expresses the judgment in the form of a mathematical matrix to form a judgment matrix to judge whether the flue gas dust concentration in the entire production process of the steel plant refining workshop is within the normal threshold range, and manages the dust removal parameters of different dust removal measurement and control equipment terminals based on the flue gas dust concentration value, determines the optimal working conditions of the entire dust removal measurement and control equipment terminal, and obtains higher dust removal efficiency by adjusting the parameters while ensuring lower energy consumption of the dust removal measurement and control equipment terminal, solves the problem of the gradual reduction of the measurement and control accuracy of the dust removal measurement and control equipment resulting in errors in the measurement and control data, and improves the reliability and accuracy of the measurement and control equipment in the workshop dust removal environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0039] Figure 1 This is a flow chart of an intelligent measurement and control method based on big data provided in Example 1 of the present invention;

[0040] Figure 2 A schematic diagram of the module composition of an intelligent measurement and control system based on big data provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0042] Example 1: Figure 1 This is a flowchart of an intelligent measurement and control method based on big data provided by the first embodiment of the present invention. This embodiment can be applied to the scenario of the operation of enterprise dust removal environment measurement and control equipment. This method can be executed by an intelligent measurement and control system based on big data provided by this embodiment, such as Figure 1 As shown, the method specifically includes the following steps:

[0043] Step 1: Use a differential smoke hood combined with a furnace-front draft hood to capture the flue gas from the entire production process of the steel plant's refining workshop and transport it to the dust removal measurement and control equipment terminal through the dust removal pipeline;

[0044] In an embodiment of the present invention, sensors for monitoring dust removal equipment and collection boards for aggregating and transmitting sensor data are installed at collection points in designated areas throughout the entire production process of a steel plant's refining workshop. Customized sampling is achieved by opening or closing corresponding channels, and the changes in flue gas flow and dust concentration data are mainly monitored. Since the overall temperature of the steel plant's refining workshop is relatively high, the carbon ash produced by steelmaking is partially precipitated into graphite dust, and the iron oxide dust mixed therein will be transferred into the workshop together with the hot air flow. Therefore, the dust-containing flue gas in the steel plant's refining workshop is captured through exhaust hoods or closed hoods throughout the entire production process. Exhaust hoods are respectively provided at the upper part of the mixing furnace mouth and the iron water addition level. The dust-containing flue gas generated by the mixing furnace is generally an intermittent generation process. The key point is that the mixing furnace and other related procedures will generate dust, and a dust removal hood is provided above its workstation.

[0045] For example, when performing converter steelmaking including charging, blowing and tapping procedures, a second dust collection is performed through a closed dust hood. The converter secondary flue gas, flux and ferroalloy systems all use closed hoods to collect flue gas and dry dust removal. It is composed of a vaporization cooling flue, an evaporative cooler, an electrostatic dust removal measurement and control equipment terminal and a gas cooler. The larger dust particles in the vaporization cooling flue are slowly deposited during the flue cooling and humidification process to remove large dust particles. The terminal is then connected to the electrostatic dust removal measurement and control equipment terminal. The fine dust particles in the flue gas are charged by the discharge of the electrode plate and are adsorbed on the dust collector by the electric field force. On the electrode, the fine particles adsorbed by the dust collecting electrode finally fall into the ash hopper, capturing the corresponding dust-laden flue gas. At the same time, the limestone is heated in the preheater for the high-temperature flue gas at the kiln tail, and then undergoes a high-temperature calcination process in the rotary kiln. The burned active limestone is cooled by cold air in the cooler. The preheated secondary air enters the kiln. The exhaust gas at the kiln tail during this process is absorbed and captured by the dust removal pipeline. When the acquisition board generates and summarizes data, the server will receive the data uploaded by the acquisition board via the network. The data is collected from the sensor equipment until it enters the database and is transmitted to the dust removal measurement and control equipment terminal.

[0046] Step 2: During the steel mill refining process, the flue gas expands as each process sequence is completed, and the key influencing factors of the dust capture monitoring stage are analyzed;

[0047] In an embodiment of the present invention, the concentration of dust pollutants in the environment of the enterprise's sintering workshop is analyzed, the valve switching situation is analyzed according to different production conditions, and then according to the air volume requirements under different production conditions, combined with the long-term operating air volume of each dust removal measurement and control equipment terminal in the integrated control system for fugitive emission control, it is judged whether the requirements are met. When the requirements are met, a comprehensive evaluation is performed based on the actual air volume of key dust collection points and the deployed dust concentration monitoring data, and the collected flue gas condition sensor monitoring data is processed and analyzed. By adopting the filter membrane method, a sampler is used to collect a certain volume of dust gas, and the dust is adsorbed on a filter membrane of known mass. According to the increase in the mass of the filter membrane and the amount of dust gas collected, the dust mass contained in the unit volume of air is calculated;

[0048] For example, during the smelting process, the rotation speed of the main fan is changed according to the difference in the order of smoke generation and the amount of dust-laden smoke generated. On the basis of ensuring the smelting quality and smoke exhaust effectiveness, the energy consumption in the process and the energy loss of the main fan are reduced. The smoke emission concentration depends on the dust removal efficiency of the dust removal measurement and control equipment under the design value, which in turn depends on whether the size of the smoke resistivity deposited on the electrode plate is equal to or close to the optimal value. When the smoke resistivity value is too large, the smoke conditioning method is adopted to adjust the smoke temperature or humidity and add other conditioning agents to reduce the smoke resistivity. When burning high-resistance smoke fuel, chemical conditioning agents are injected into the smoke to adjust the smoke resistivity to reach the ideal range. At this time, the dust concentration Q is calculated: Among them, m2 is the mass of the filter membrane before collection in the collector, m1 is the mass of the filter membrane after collection in the collector, n is the dust flow rate collected by the collector, and t is the sampling time. Since the mass unit of dust is mg, the unit is multiplied by 1000. Hierarchical analysis is used to judge the relative importance of each of the relevant influencing factors. The judgment is expressed in the form of a mathematical matrix to form a judgment matrix to determine whether the flue gas dust concentration in the entire production process of the steel plant refining workshop is within the normal threshold range.

[0049] Step 3: Manage dust removal parameters of different dust removal measurement and control equipment terminals based on flue gas dust concentration values;

[0050] In an embodiment of the present invention, in the case where there may be air leakage in the dust removal measurement and control equipment terminal and the actual operating condition of the fan is inconsistent with the standard condition, when managing the dust removal parameters of the dust removal measurement and control equipment terminal, by considering the fan air volume, air pressure, additional coefficient and gas correction coefficient, in the industrial application of the steel refining workshop, the air volume is set to be greater than the air volume theoretically calculated by the system according to the air volume demand under different production conditions, and the dust removal air volume is calculated according to the influencing parameters. The calculation is performed by the air volume additional safety factor set in the dust removal process and the air volume theoretically calculated by the system. When the values ​​of the two are larger, the dust removal air volume is also greater;

[0051] For example, the pressure deviation, deviation and deviation change rate generated by the dust removal measurement and control equipment terminal during the dust removal control process are selected, and the specific value domain obtained by sampling is transformed into the fuzzy language variable domain through the proportional transformation factor. According to the error and error change generated in the atomization dust removal monitoring and control, that is, by numerically simulating the closed ventilation dust removal airflow and the dust movement process, it is judged whether there is an influence between the dust generation point and the different angles of the dust collection fan hood. Based on the suction of small-particle dust and the sedimentation of large-particle dust, as the material falls, dust particles of different particle sizes are released at different times, and iterative calculations are performed to calculate the dust removal intensity of the dust removal measurement and control equipment terminal, and the differential pressure control is used to control the cleaning intensity so that the differential pressure value is lower than the set value instead of being maintained in a certain smaller range.

[0052] Step 4: Analyze the impact of operating conditions on dust concentration at the dust removal and control equipment terminal by changing atomization conditions including water pressure and air pressure, and determine the optimal operating conditions for the entire dust removal and control equipment terminal;

[0053] In an embodiment of the present invention, the method for determining the optimal operating condition of the entire dust removal measurement and control equipment terminal is:

[0054] Step 41: Use filter materials to retain and separate solid and liquid particles in the dust-laden gas, adsorb harmful gases, and alternate between the filtering process and the cleaning process;

[0055] Step 42: When the dust removal measurement and control equipment terminal is put into operation, the pipeline pressure difference data collected by the differential pressure transmitter is compared with the limit value set on the monitoring screen;

[0056] Step 43: When the pipeline pressure difference exceeds the limit, the pulse valve is activated to clean the dust and capture the dust through water spray. The water spray is sprayed from the mill outlet, using various water pressures and using the compressed air or steam in the trial to create a water mist barrier to prevent dust from penetrating.

[0057] Step 44: The position and number of nozzles are adjusted at high frequency to achieve a better effect in preventing dust diffusion. Dust is generated at the exit of the rolling mill work rolls by the rolled product. The dust removal nozzles and equipment form a dust restriction zone in a local area. Within this zone, the nozzles are set to spray water droplets of the correct size to provide the minimum water particle movement speed under low pressure conditions.

[0058] Step 45: When using pressure spray, higher fluid pressure can produce smaller droplet size. Compressed air is used to break water into droplets of appropriate size and speed, controlling the maximum dust capture rate of the entire droplet.

[0059] Step 46: Set the correct operating pressure according to different operating conditions, use a larger angle nozzle to completely cover the dust area, set the spray angle between 100 and 120 degrees, and place the nozzle in the dust generation and emission areas, that is, the top, bottom and sides, to achieve the best overall dust suppression;

[0060] Step 47: Through the analysis of atomization control, the pressure feedback control method is used to achieve stable control of the spray pressure, making the atomization efficient. In this way, the iron oxide dust is purified by bonding with the dust. While keeping other conditions unchanged, the effects of different atomization water pressures and atomization air pressures on the dust concentration at the dust removal and control equipment terminal are tested respectively. As the dust concentration in the workshop continues to increase with the atomization water pressure, the dust concentration generally shows a downward trend. Therefore, while adjusting the parameters to obtain higher dust removal efficiency, it also ensures lower energy consumption at the dust removal and control equipment terminal.

[0061] Embodiment 2: Embodiment 2 of the present invention provides an intelligent measurement and control system based on big data. Figure 2 A schematic diagram of the module composition of an intelligent measurement and control system based on big data provided in the second embodiment of the present invention is shown in FIG. Figure 2 As shown, the system includes:

[0062] The flue gas dust measurement, control and capture module is used to capture flue gas dust throughout the entire production process of the steel plant's refining workshop using a differential smoke collection hood combined with a furnace-front draft hood;

[0063] Key influencing factor analysis module, used to analyze the key influencing factors in the dust capture stage;

[0064] The measurement and control parameter management module is used to manage the dust removal measurement and control parameters of different dust removal measurement and control equipment terminals based on the flue gas dust concentration value.

[0065] In some embodiments of the present invention, the flue gas dust measurement, control and capture module includes:

[0066] The whole production stage module is used to capture dusty flue gas through exhaust hoods or closed hoods during the whole production stage of the steel plant refining workshop;

[0067] Flue gas flow monitoring module, used to monitor flue gas flow data;

[0068] Dust concentration data module, used to monitor changes in dust concentration data;

[0069] The secondary measurement and control data collection module is used for secondary dust collection through a closed dust removal hood.

[0070] In some embodiments of the present invention, the key influencing factor analysis module includes:

[0071] Engineering sequence switching module, used to analyze valve switching conditions according to different production conditions;

[0072] The flue gas condition data analysis module is used to process and analyze the collected flue gas condition sensor monitoring data;

[0073] The membrane filter method application module is used to calculate the dust mass contained in a unit volume of air based on the increase in membrane mass and the amount of dust gas collected by the membrane filter method;

[0074] The flue gas dust concentration calculation and judgment module is used to calculate the dust concentration.

[0075] In some embodiments of the present invention, the measurement and control parameter management module includes:

[0076] Dust removal measurement and control air volume calculation module, used to calculate the dust removal air volume based on influencing parameters;

[0077] The measurement and control process judgment module is used to judge the relevant influence based on the error and error change in the atomization dust removal control;

[0078] The optimal operating condition module of the measurement and control terminal is used to determine the optimal operating condition of the entire dust removal measurement and control equipment terminal.

[0079] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0080] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. An intelligent measurement and control method based on big data, characterized by: The method comprises the following steps: Step 1: Use a differential smoke hood combined with a furnace-front draft hood to capture the flue gas from the entire production process of the steel plant's refining workshop and transport it to the dust removal measurement and control equipment terminal through the dust removal pipeline; Step 2: During the steel mill refining process, the flue gas expands as each process sequence is completed, and the key influencing factors of the dust capture monitoring stage are analyzed; Step 3: Manage dust removal parameters of different dust removal measurement and control equipment terminals based on flue gas dust concentration values; Step 4: Analyze the impact of working conditions on the dust concentration at the dust removal and control equipment terminal by changing the atomization conditions including water pressure and air pressure, and determine the optimal working conditions of the entire dust removal and control equipment terminal.

2. The intelligent measurement and control method based on big data according to claim 1, characterized in that: The steps of capturing flue gas dust during the entire production process of the steel plant's refining workshop include: Install sensors for monitoring dust removal equipment at designated collection points throughout the steel plant's refining workshop, along with collection boards that aggregate and transmit sensor data. Customized sampling is achieved by turning on or off corresponding channels; Mainly monitor the changes in flue gas flow and dust concentration data.

3. The intelligent measurement and control method based on big data according to claim 2, characterized in that: The capture step of the flue gas dust includes: During converter steelmaking, which includes charging, blowing and tapping procedures, a second dust collection is performed through a closed dust hood; The converter secondary flue gas, flux and ferroalloy systems all use closed hoods to collect flue gas and dry dust removal; The fine dust particles in the flue gas are charged by the discharge of the electrode plate and adsorbed on the dust collecting electrode by the electric field force. Finally, the fine particles adsorbed by the dust collecting electrode fall into the ash hopper and capture the corresponding dust-laden flue gas. The waste gas at the kiln tail during the process of the preheated secondary air entering the kiln is absorbed and captured by the dust removal pipeline; When the acquisition board generates and summarizes data, the server will receive the data uploaded by the acquisition board via the network. The data is collected from the sensor device until it enters the database and is transmitted to the dust removal measurement and control equipment terminal.

4. The intelligent measurement and control method based on big data according to claim 3, characterized in that: The steps of analyzing the key influencing factors of the dust capture stage include: Analyze the dust pollutant concentration in the company's sintering workshop environment and analyze the valve switching situation according to different production conditions; Then, based on the air volume requirements under different production conditions, a comprehensive assessment is conducted based on the actual air volume at key dust collection points and the dust concentration monitoring data deployed; The collected flue gas condition sensor monitoring data is processed and analyzed. By adopting the filter membrane method, a certain volume of dust gas is collected using a sampler, and the dust is adsorbed on a filter membrane of known mass. Based on the increase in filter membrane mass and the amount of dust gas collected, the dust mass contained in a unit volume of air is calculated.

5. The intelligent measurement and control method based on big data according to claim 4, characterized in that: The step of analyzing the dust pollutant concentration includes: During the smelting process, the rotation speed of the main fan is changed according to the difference in the order of smoke generation and the amount of dust-laden smoke gas generated. On the basis of ensuring the smelting quality and smoke exhaust effectiveness, the energy consumption in the process and the energy loss of the main fan are reduced. The smoke emission concentration depends on the dust removal efficiency of the dust removal measurement and control equipment terminal under the design value, which in turn depends on whether the size of the smoke resistance deposited on the plate is equal to or close to the optimal value. When the smoke resistance value is too large, the smoke conditioning method is adopted to adjust the smoke temperature or humidity and add other conditioning agents to reduce the smoke resistivity. When burning high-resistance smoke fuel, chemical conditioning agents are injected into the smoke to adjust the smoke resistance to the ideal range. At this time, the dust concentration Q is calculated: Among them, m2 is the mass of the filter membrane before collection in the collector, m1 is the mass of the filter membrane after collection in the collector, n is the dust flow rate collected by the collector, and t is the sampling time. Since the mass unit of dust is mg, the unit is multiplied by 1000. Hierarchical analysis is used to judge the relative importance of each of the relevant influencing factors. The judgment is expressed in the form of a mathematical matrix to form a judgment matrix to determine whether the flue gas dust concentration in the entire production process of the steel plant refining workshop is within the normal threshold range.

6. The intelligent measurement and control method based on big data according to claim 5, characterized in that: The step of determining the optimal operating condition of the entire dust removal measurement and control equipment terminal includes: Step 41: Use filter materials to retain and separate solid and liquid particles in the dust-laden gas, adsorb harmful gases, and alternate between the filtering process and the cleaning process; Step 42: When the dust removal measurement and control equipment terminal is put into operation, the pipeline pressure difference data collected by the differential pressure transmitter is compared with the limit value set on the monitoring screen; Step 43: When the pipeline pressure difference exceeds the limit, the pulse valve is activated to clean the dust and capture the dust through water spray. The water spray is sprayed from the mill outlet, using various water pressures and using the compressed air or steam in the trial to create a water mist barrier to prevent dust from penetrating. Step 44: The position and number of nozzles are adjusted at high frequency to achieve a better effect in preventing dust diffusion. Dust is generated at the exit of the rolling mill work rolls by the rolled product. The dust removal nozzles and equipment form a dust restriction zone in a local area. Within this zone, the nozzles are set to spray water droplets of the correct size to provide the minimum water particle movement speed under low pressure conditions. Step 45: When using pressure spray, higher fluid pressure can produce smaller droplet size. Compressed air is used to break water into droplets of appropriate size and speed, controlling the maximum dust capture rate of the entire droplet. Step 46: Set the correct operating pressure according to different operating conditions, use a larger angle nozzle to completely cover the dust area, set the spray angle between 100 and 120 degrees, and place the nozzle in the dust generation and emission areas, that is, the top, bottom and sides, to achieve the best overall dust suppression; Step 47: Through the analysis of atomization control, the pressure feedback control method is used to achieve stable control of the spray pressure, making the atomization efficient. In this way, the iron oxide dust is purified by bonding with the dust. While keeping other conditions unchanged, the effects of different atomization water pressures and atomization air pressures on the dust concentration at the dust removal and control equipment terminal are tested respectively. As the dust concentration in the workshop continues to increase with the atomization water pressure, the dust concentration generally shows a downward trend. Therefore, while adjusting the parameters to obtain higher dust removal efficiency, it also ensures lower energy consumption at the dust removal and control equipment terminal.

7. An intelligent measurement and control system for executing the intelligent measurement and control method based on big data according to claim 1, characterized in that: The system comprises: The flue gas dust measurement, control and capture module is used to capture flue gas dust throughout the entire production process of the steel plant's refining workshop using a differential smoke collection hood combined with a furnace-front draft hood; Key influencing factor analysis module, used to analyze the key influencing factors in the dust capture stage; The measurement and control parameter management module is used to manage the dust removal measurement and control parameters of different dust removal measurement and control equipment terminals based on the flue gas dust concentration value.

8. The intelligent measurement and control system according to claim 7, characterized in that: The flue gas dust measurement, control and capture module includes: The whole production stage module is used to capture dusty flue gas through exhaust hoods or closed hoods during the whole production stage of the steel plant refining workshop; Flue gas flow monitoring module, used to monitor flue gas flow data; Dust concentration data module, used to monitor changes in dust concentration data; The secondary measurement and control data collection module is used for secondary dust collection through a closed dust removal hood.

9. The intelligent measurement and control system according to claim 8, characterized in that: The key impact factor analysis module includes: Engineering sequence switching module, used to analyze valve switching conditions according to different production conditions; The flue gas condition data analysis module is used to process and analyze the collected flue gas condition sensor monitoring data; The membrane filter method application module is used to calculate the dust mass contained in a unit volume of air based on the increase in membrane mass and the amount of dust gas collected by the membrane filter method; The flue gas dust concentration calculation and judgment module is used to calculate the dust concentration.

10. The intelligent measurement, control and management system according to claim 9, characterized in that: The measurement and control parameter management module includes: Dust removal measurement and control air volume calculation module, used to calculate the dust removal air volume based on influencing parameters; The measurement and control process judgment module is used to judge the relevant influence based on the error and error change in the atomization dust removal control; The optimal operating condition module of the measurement and control terminal is used to determine the optimal operating condition of the entire dust removal measurement and control equipment terminal.

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