Dust removal method and system for surface galvanizing automatic production line

Abstract

The invention provides a dust removal method and system for a surface galvanizing automatic production line, and the method comprises the steps: installing air quality sensors at all key points in a workshop of the surface galvanizing automatic production line, and monitoring the dust concentration, humidity, temperature and other key parameters in the air in real time; the air quality in the workshop is evaluated according to the key parameters, and if it is monitored that the air dust concentration of a certain workshop area exceeds a preset safety threshold value, the workshop area is automatically adjusted to a dust removal mode; judging that a dust removal mode needs to be started, sending an instruction to dust removal equipment, starting a corresponding dust removal program, and starting an industrial dust collector or a spraying system; after the dust removal equipment starts to work, the air quality sensor continues to monitor the air quality and provides real-time feedback. The system comprises a parameter acquisition module, a quality evaluation module and a dust removal execution module. According to the invention, real-time monitoring, intelligent evaluation, automatic dust removal and continuous optimization of air quality are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of atmosphere control and pollution treatment, and in particular to a dust removal method and system for a surface galvanizing automated production line. Background Art

[0002] In modern industrial production, surface treatment technology is crucial for improving product performance and appearance. In the metalworking industry in particular, galvanizing is a common anti-corrosion treatment that effectively extends product life. Traditional galvanizing lines often rely on manual operation, resulting in low efficiency and, due to the complex operating environment, frequent exposure to dust, which can negatively impact workers' health. Pollution control is crucial to further reduce atmospheric pollution. Furthermore, manual operations make it difficult to ensure consistent and stable galvanizing quality, leading to inconsistent product quality.

[0003] Prior art 1, application number: CN201911263388.3 discloses a galvanized dust removal device, including a box body; a detachable fixed plate is provided on the upper part of the interior of the box body, and a swinging mechanism is provided on the lower part, and a number of filter bags are provided between the fixed plate and the swinging mechanism, the upper end of the filter bag is fixed on the fixed plate, and the lower end of the filter bag is arranged on the swinging mechanism; the swinging mechanism includes a turntable, a support, a transmission shaft, a driven gear, a driving shaft, and a driving gear; the lower surface of the turntable is fixedly connected to the transmission shaft, and a driven gear is fixedly sleeved on the transmission shaft; a mounting groove is provided on the support member, and the transmission shaft is rotatably arranged in the mounting groove, and a clockwork spring fixedly sleeved on the transmission shaft is also provided in the mounting groove; the upper end fixed sleeve of the driving shaft is provided with a driving gear meshing with the driven gear, and both the driven gear and the driving gear are incomplete gears. Although the galvanized dust removal device can avoid frequent removal of filter bags for cleaning, saving time and effort; however, cleaning the filter bags through a swinging mechanism, although reducing the frequency of disassembly, does not achieve real-time monitoring and active control of dust concentration, and the dust removal response lags behind actual pollution changes; relying solely on filter bags to filter dust, without dynamically adjusting the dust removal strategy based on environmental parameters such as temperature and humidity, may cause secondary dusting due to insufficient humidity or affect the life of the filter bags due to excessive cleaning.

[0004] Prior art 2, application number CN202310372999.1, discloses a hot-dip galvanized cathode wire for an electrostatic precipitator and a method for preparing the same. The wire comprises a support tube and a plurality of barbs welded to the support tube. The outer surfaces of the barbs are sequentially coated with a first galvanized layer and a second galvanized layer, from the inside out. The outer surface of the support tube is coated with the second galvanized layer. The first galvanized layer comprises the following components: aluminum, tungsten, molybdenum, chromium, ZrO, MgO, rare earth oxides, and Zn; the second galvanized layer comprises the following components: aluminum, molybdenum, chromium, and Zn. The present invention utilizes a method of welding the barbs to the support tube followed by overall hot-dip galvanizing, which reduces costs, improves material utilization, and enhances the corrosion resistance and corona discharge efficiency of the cathode wire. Although the welding position is hot-dip galvanized as a whole, the corrosion resistance of the welding position is improved and it is not easy to fall off; however, the corrosion resistance of the cathode line galvanized layer is improved, but the dust removal system's need to actively regulate the overall air quality of the workshop (such as dust concentration and humidity) is not solved, and there is a disconnect between the dust removal and galvanizing process environments; it relies on fixed working parameters of the electrostatic precipitator and lacks adaptability to dynamic changes in dust concentration, which may lead to fluctuations in dust removal efficiency or energy waste.

[0005] Prior art three, application number: CN201911162180.2 discloses a wet electrostatic precipitator, an anode tube for a wet electrostatic precipitator, and a method for manufacturing the same, including a galvanized spiral air duct, the inner layer of which is provided with a conductive PP layer. Although the combination of the galvanized spiral air duct and the conductive PP makes the production process simple, time-saving, with a high inner surface finish, easy to rinse, high temperature resistance, no leaks, strong conductivity, strong corrosion resistance, low cost, and simple construction process; however, the wet electrostatic precipitator structure is optimized, but the dust removal equipment is started and stopped manually or with a fixed program, without a real-time feedback mechanism, and cannot dynamically adjust the spray intensity or dust suction power according to changes in dust concentration; the sensitivity of the galvanizing process to temperature and humidity is not incorporated into the dust removal control logic, which may cause excessive humidity in the workshop due to excessive spraying, affecting the quality stability of the galvanized layer.

[0006] Currently, existing technologies 1, 2, and 3 have the problems of monitoring hysteresis, model rigidity, environmental damage, and low energy efficiency in traditional dust removal technologies. Therefore, the present invention provides a dust removal method and system for an automated surface galvanizing production line. Summary of the Invention

[0007] In order to solve the above technical problems, the present invention provides a dust removal method for a surface galvanizing automated production line, comprising the following steps:

[0008] Air quality sensors are installed at key points in the workshop of the surface galvanizing automated production line to monitor key parameters such as dust concentration, humidity and temperature in the air in real time;

[0009] Evaluate the air quality in the workshop based on key parameters. If the dust concentration in a certain workshop area exceeds the preset safety threshold, the system will automatically switch to dust removal mode.

[0010] Determine whether the dust removal mode needs to be activated, send instructions to the dust removal equipment, start the corresponding dust removal program, and turn on the industrial vacuum cleaner or spray system; after the dust removal equipment starts working, the air quality sensor continues to monitor the air quality and provide real-time feedback.

[0011] Optionally, the process of determining the key points in the workshop of the surface galvanizing automated production line includes the following steps:

[0012] Construct a virtual 3D model to depict the key areas and nodes of the surface galvanizing automated production line and simulate the layout of the surface galvanizing automated production line; divide the simulated layout of the surface galvanizing automated production line into several grid areas, each grid area represents a key area;

[0013] In the grid layout of the surface galvanizing automated production line, key points are identified. These points are near important equipment on the surface galvanizing automated production line and where the air quality changes reach the preset threshold.

[0014] After determining the key points, air quality sensors are deployed, with one real-time monitoring air quality sensor installed at each key point; the key parameters collected according to the preset collection cycle are summarized into the data node.

[0015] Optionally, the process of dividing the simulated surface galvanizing automated production line layout into a number of grid areas includes the following steps:

[0016] With the zinc pot as the origin of the longitudinal axis, a main process baseline is established along the workpiece conveying direction. The transverse axis is perpendicular to the conveyor belt, covering the zinc ash settling area, waste gas diffusion area, and equipment maintenance channel. The vertical space is divided according to the workshop floor height, with the waste liquid recovery pipeline as the underground floor, the main equipment as the operating floor, and the driving track / ventilation duct as the high-altitude floor.

[0017] Identify the functional blocks of the pickling and degreasing area, galvanizing reaction area, post-processing area and auxiliary units; set the zinc pot radiation model, pickling tank corrosion area and cooling water curtain boundary;

[0018] Dynamic streamline analysis is performed on the zinc ingot transport streamlines, workpiece movement trajectories, and conflict points in maintenance channels. Environmental characteristics are superimposed on the zinc mist concentration gradient, temperature stratification zone, and corrosive gas distribution. A composite grid of the surface galvanizing automated production line is constructed, consisting of a core process grid, a risk superposition grid, and a dynamic monitoring grid.

[0019] Optionally, the process of evaluating the air quality in the workshop based on key parameters includes the following steps:

[0020] Bind the dust concentration, humidity, and temperature parameters to the properties of the divided composite grid; dynamically match the preset staged safety thresholds according to the operating status of the surface galvanizing automated production line;

[0021] When an increase in dust is detected in a grid within the composite grid, the pollution source is determined by combining the time series of parameter changes in adjacent grids. When an abnormal concentration of volatile organic compounds is detected, the operating current data of the spray robot arm is simultaneously checked. If the current fluctuations are synchronized with the concentration fluctuations, it is determined that the leakage is caused by equipment seal failure rather than accumulated environmental pollution.

[0022] Abnormal grids are graded according to the process impact weights. The first-level response area involves core process grids and spray dust suppression is immediately initiated; the second-level response area involves risk overlay grids and directional dust suction is activated; the temporary response area dynamic monitoring grid initiates local negative pressure isolation.

[0023] Optionally, the process of binding dust concentration, humidity, and temperature parameters to the properties of the composite mesh includes the following steps:

[0024] Based on the specific content of the composite grid and the dynamic environment container, the nodes of the air quality sensor in the dynamic environment container are loaded with dust concentration differential values, humidity gradient coefficients, and temperature field compensation factors in real time. A time slot alignment mechanism is used to normalize the data stream collected by the air quality sensor and establish a tensor association with the spatial coordinates of the composite grid.

[0025] Relying on the process stage signals transmitted by the equipment status bus of the surface galvanizing automated production line, the corresponding safety baseline template is extracted from the preset threshold knowledge base. Based on the material volatility characteristics of the process section where the composite grid is located, the concentration-humidity-temperature coupling constraint conditions are automatically loaded to generate a dynamic warning threshold curve with process adaptability.

[0026] Data credibility is enhanced by conducting boundary parameter detection between adjacent grids. When the dust reading change of a grid exceeds the set standard, the humidity attenuation curve and temperature diffusion pattern of other grids in the same process unit are compared to eliminate sensor noise data caused by equipment vibration.

[0027] Optionally, the dust pulse signal corresponds to the anti-interference weight parameter of the grid, the humidity change slope is bound to the material hydrophilicity mark of the grid, and the temperature sampling value is converted into the grid thermal inertia correction coefficient.

[0028] Optionally, the process of starting a corresponding dust removal program includes the following steps:

[0029] Dynamically calculate the pollution diffusion vector and migration rate by combining the concentration-humidity-temperature parameters bound by the composite grid and the changing situation of adjacent grids;

[0030] Based on the divided process impact weight classification areas, a three-level dynamic execution chain of first-level response area, second-level response area and temporary response area is constructed;

[0031] If the dust concentration in the first-level response area does not drop below the safety threshold and the humidity gradient continues to be abnormal, it is determined that the dust suppression medium does not match the process and the system switches to the inert gas purge mode. If the dust collection efficiency in the second-level area is insufficient, a local sealing detection module is added based on the initial pollution source determination results. The dust-temperature-humidity coupling constraint conditions are dynamically updated throughout the entire process, the dynamic template is inherited, and the threshold for the next cycle is optimized.

[0032] Optionally, if the dust concentration in a certain grid rises instantaneously to a critical slope, and the humidity gradient of the adjacent grid decays radially, it is determined to be a local equipment leak and the pulsed negative pressure adsorption is activated;

[0033] When multiple grid parameters drift synchronously and the heat conduction delay in the temperature field is greater than the process allowable value, wide-area atomization coverage is started, and the spray particle size is adaptively adjusted according to the hydrophilicity of the material bound to the grid.

[0034] Optional, first-level response area: trigger the high-pressure cyclone dust removal unit, use the detected equipment current abnormality data to associate the sealing failure point, and dynamically track the pollution vector in the injection direction;

[0035] Secondary response area: The multi-directional vacuum arm group is activated, and the suction strength is reversely adjusted according to the grid thermal inertia correction coefficient;

[0036] Temporary response area: Deploy mobile electrostatic precipitation devices, and the operating time is controlled by the closed-loop concentration decay curve of the adjacent grid.

[0037] The present invention provides a dust removal system for an automated surface galvanizing production line, comprising:

[0038] The parameter acquisition module is responsible for installing air quality sensors at various key points in the workshop of the surface galvanizing automated production line to monitor key parameters such as dust concentration, humidity, and temperature in the air in real time;

[0039] The quality assessment module is responsible for evaluating the air quality in the workshop based on key parameters. If the dust concentration in a certain workshop area exceeds the preset safety threshold, it will automatically switch to dust removal mode.

[0040] The dust removal execution module is responsible for determining whether the dust removal mode needs to be activated, sending instructions to the dust removal equipment, starting the corresponding dust removal program, and turning on the industrial vacuum cleaner or spray system; after the dust removal equipment starts working, the air quality sensor continues to monitor the air quality and provide real-time feedback.

[0041] The present invention can monitor key parameters such as dust concentration, humidity and temperature in the air in real time by installing air quality sensors at key points in the workshop, providing dynamic air quality data and laying a foundation for air quality assessment and control. Combining real-time monitoring data and safety threshold assessment can intelligently determine whether the dust removal mode needs to be started, which not only improves the response speed, but also reduces human intervention, and improves the safety and efficiency of operations. When it is determined that the dust removal mode needs to be started, an instruction is automatically sent to the dust removal equipment to start the corresponding dust removal program; automated control from detection to response is achieved, reducing the risks to the production environment caused by excessive dust concentration; while the dust removal equipment is working, the air quality sensor continues to monitor the air quality and provide real-time feedback, allowing the dust removal strategy to be dynamically adjusted according to the latest air quality data to ensure the maximization of the dust removal effect and to promptly discover and resolve potential environmental problems.

[0042] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0043] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] 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:

[0045] Figure 1 This is a flow chart of the dust removal method for the surface galvanizing automated production line in Example 1 of the present invention;

[0046] Figure 2 This is a diagram showing the process of determining key points in a workshop of an automated surface galvanizing production line in Example 2 of the present invention;

[0047] Figure 3 This is a process diagram for evaluating the air quality in a workshop based on key parameters in Example 4 of the present invention;

[0048] Figure 4 This is a process diagram for starting the corresponding dust removal program in Example 6 of the present invention;

[0049] Figure 5 This is a block diagram of the dust removal system of the surface galvanizing automated production line in Example 8 of the present invention. DETAILED DESCRIPTION

[0050] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0051] The terms used in the embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit the embodiments of the present application. The singular forms "a", "the" and "the" used in the embodiments of the present application are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0052] When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0053] Example 1: Figure 1 As shown, an embodiment of the present invention provides a dust removal method for a surface galvanizing automated production line, comprising the following steps:

[0054] S100: Air quality sensors are installed at key points in the workshop of the surface galvanizing automated production line to monitor key parameters such as dust concentration, humidity and temperature in real time;

[0055] S200: Evaluates the air quality in the workshop based on key parameters. If the dust concentration in a certain workshop area exceeds the preset safety threshold, it automatically switches to dust removal mode.

[0056] S300: Determine whether the dust removal mode needs to be activated, send instructions to the dust removal equipment, start the corresponding dust removal program, and turn on the industrial vacuum cleaner or spray system; after the dust removal equipment starts working, the air quality sensor continues to monitor the air quality and provide real-time feedback.

[0057] The working principle and beneficial effects of the above technical solution are as follows: First, this embodiment installs air quality sensors at various key points in the workshop of the surface galvanizing automated production line to monitor key parameters such as dust concentration, humidity and temperature in the air in real time; secondly, the air quality in the workshop is evaluated based on the key parameters. If the air dust concentration in a certain workshop area is detected to exceed the preset safety threshold, it is automatically adjusted to the dust removal mode; finally, it is determined that the dust removal mode needs to be started, and an instruction is sent to the dust removal equipment to start the corresponding dust removal program and turn on the industrial vacuum cleaner or spray system; after the dust removal equipment starts working, the air quality sensor continues to monitor the air quality and provide real-time feedback. By installing air quality sensors at key points in the workshop, the above solution can monitor key parameters such as dust concentration, humidity and temperature in the air in real time, provide dynamic air quality data, and provide a basis for air quality evaluation and control. Combining real-time monitoring data and safety threshold evaluation can intelligently determine whether the dust removal mode needs to be started, which not only improves the response speed, but also reduces human intervention and improves the safety and efficiency of operation. When it is determined that the dust removal mode needs to be activated, an instruction is automatically sent to the dust removal equipment to start the corresponding dust removal program; automated control from detection to response is achieved, reducing the risks to the production environment caused by excessive dust concentration; while the dust removal equipment is working, the air quality sensor continues to monitor the air quality and provide real-time feedback, allowing the dust removal strategy to be dynamically adjusted according to the latest air quality data, ensuring maximum dust removal effect and being able to promptly detect and resolve potential environmental problems.

[0058] In summary, this embodiment realizes real-time monitoring, intelligent evaluation, automated dust removal, and continuous optimization of air quality, thereby ensuring efficient and safe operation of the production line while reducing environmental pollution and improving production quality.

[0059] Example 2: Figure 2 As shown, based on Example 1, the process of determining each key point in the workshop of the surface galvanizing automated production line provided by the embodiment of the present invention includes the following steps:

[0060] S101: construct a virtual three-dimensional model, depict the key areas and nodes of the surface galvanizing automated production line, and simulate the layout of the surface galvanizing automated production line; divide the simulated layout of the surface galvanizing automated production line into several grid areas, each grid area representing a key area;

[0061] S102: Identify key points in the grid layout of the surface galvanizing automated production line. The key points are locations near important equipment on the surface galvanizing automated production line and locations where air quality changes reach a preset threshold.

[0062] S103: After determining the key points, deploy air quality sensors, with one real-time monitoring air quality sensor installed at each key point; summarize the key parameters collected according to the preset collection cycle to the data node.

[0063] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first constructs a virtual three-dimensional model to depict the various key areas and nodes of the surface galvanizing automated production line, and simulates the layout of the surface galvanizing automated production line; the simulated surface galvanizing automated production line layout is divided into several grid areas, each grid area represents a key area; secondly, in the grid layout of the surface galvanizing automated production line, key points are identified, and the key points are near important equipment on the surface galvanizing automated production line, and the positions where the air quality changes reach the preset threshold; finally, after determining the key points, the air quality sensors are deployed, and a real-time monitoring air quality sensor is installed at each key point; the key parameters collected according to the preset collection period are summarized to the data nodes. The above-mentioned solution realizes intelligent monitoring and management of the entire workshop environment by comprehensively determining the technical characteristics of each step in the workshop of the surface galvanizing automated production line. The specific technical effects are as follows: by constructing a three-dimensional model and performing layout simulation, the production line can be optimized in a virtual environment, taking into account material flow, equipment layout and ease of operation; dividing the grid area allows each area to be managed in a focused manner, facilitating equipment installation and sensor layout; by identifying key points in the grid layout, the key equipment and air quality change-sensitive areas on the production line can be accurately located, which helps to centrally monitor those nodes that are critical to the operation of the production line and ensure the stability of the production line and product quality; deploying air quality sensors at key points can achieve real-time monitoring and timely respond to air quality changes, such as harmful gas leakage or dust accumulation, thereby preventing environmental problems from affecting production efficiency and worker health; data from preset collection cycles are aggregated to data nodes for easy big data analysis and decision support.

[0064] In summary, this embodiment achieves all-round, no-dead-angle monitoring of the production line through three-dimensional simulation and grid management, thereby improving the coverage and efficiency of monitoring; the identification of key points and the deployment of air quality sensors enable precise control of each key link of the production line, timely discovery and resolution of problems; the collection and aggregation of real-time data provide data support for production management, and through data analysis, the production process can be optimized, production efficiency and product quality can be improved; through real-time monitoring of air quality, environmental problems can be discovered in a timely manner, worker health can be protected, and environmental pollution can be reduced; the automation and intelligence of the entire process reduce manual intervention, improve the level of automation of management, and reduce human errors. Through intelligent and automated means, comprehensive and precise monitoring and management of the production line environment are achieved, production efficiency and product quality are improved, and worker health and environmental safety are protected at the same time.

[0065] Example 3: Based on Example 2, the process of dividing the simulated surface galvanizing automated production line layout into a plurality of grid areas provided in the embodiment of the present invention includes the following steps:

[0066] S1011: With the zinc pot as the origin of the longitudinal axis, establish the main process baseline along the workpiece conveying direction. The transverse axis is perpendicular to the conveyor belt, covering the zinc ash settling area, the waste gas diffusion area, and the equipment maintenance channel. The vertical space is divided according to the workshop floor height, with the waste liquid recovery pipeline as the underground floor, the main equipment as the operating floor, and the driving track / ventilation duct as the high-altitude floor.

[0067] S1012: Identify the functional blocks of the pickling and degreasing area, galvanizing reaction area, post-processing area, and auxiliary units; set the zinc pot radiation model, pickling tank corrosion area, and cooling water curtain boundary;

[0068] The pickling and degreasing area includes a pickling tank and a spray device covered by an acid mist collection hood, which must be isolated from the galvanizing area for corrosion protection. The galvanizing reaction area is centered on the zinc pot, covering the surface fluctuation range of the zinc liquid (5-8 meters in diameter), including the sinking roller area and the air knife blowing area. The post-processing area includes the high humidity area radiated by the cooling tower, the splash zone of the passivation liquid spraying, and the chromate treatment waste gas accumulation area. The bottom of the waste gas treatment tower of the auxiliary unit (high-concentration zinc ash deposition area) and the heat radiation influence zone of the zinc ingot preheating furnace are also included.

[0069] The zinc pot radiation model is centered on the zinc liquid surface and extends upward by 3 meters to define the zinc mist diffusion zone (zinc vapor concentration gradient zone), covering the air knife working range laterally. The pickling tank corrosion zone is defined as a highly corrosive gas impact grid with a radius of 2 meters based on the acid mist volatilization rate and workshop ventilation direction. The cooling water curtain boundary extends 1.5 meters beyond the cooling tower spray range to the high humidity area (relative humidity > 85%).

[0070] S1013: Dynamic streamline analysis is performed on zinc ingot transport streamlines, workpiece movement trajectories, and conflict points in maintenance channels. Environmental characteristics are superimposed on zinc mist concentration gradients, temperature stratification zones, and corrosive gas distribution. A composite grid for the surface galvanizing automated production line is constructed, consisting of a core process grid, a risk overlay grid, and a dynamic monitoring grid.

[0071] The zinc ingot transport flow line, including the crane and hoisting route (from the zinc ingot storage yard to the zinc pot charging port), forms a dynamic contamination zone and requires a separate temporary grid. The area within 0.8 meters on both sides of the conveyor belt along the workpiece movement trajectory is designated as a splash risk zone (acid / zinc liquid dripping range). The overlapping area between the zinc pot deslagging operation area at the conflict point of the maintenance channel and the inspection route needs to be marked as a high-frequency cross grid.

[0072] The zinc mist concentration gradient is within the 0-3 meter height layer above the zinc pot, and the zinc particle sedimentation rate mutation zone is marked every 0.5 meter. The temperature stratification zone within 5 meters around the zinc pot is divided into a high-temperature radiation zone of >80℃ (affecting sensor selection) and a transition zone of 50-80℃. Corrosive gas distribution is above the pickling tank, and the grid with a strong corrosive gas concentration of pH <3 is marked based on pH monitoring data.

[0073] The core process grid zinc pot grid includes the following attributes: temperature > 450°C, zinc mist concentration > 15mg / m 3 , explosion-proof equipment is required; the risk superposition grid marks the intersection of the pickling tank and the zinc ingot transportation path with dual attributes: acid corrosion + mechanical collision risk; the dynamic monitoring grid mobile grid on the crane hoisting path activates real-time monitoring as the equipment runs.

[0074] The working principle and beneficial effects of the above technical solution are: firstly, the zinc pot is taken as the longitudinal axis origin, the main process reference line is established along the workpiece conveying direction, the transverse axis is perpendicular to the conveying belt, covering the zinc ash settling area, waste gas diffusion area and equipment maintenance channel; according to the workshop height, the vertical space is divided, the waste liquid recovery pipeline is the underground layer, the equipment main body is the operation layer, and the crane track / ventilation pipeline is the high altitude layer; secondly, the functional block identification of pickling and degreasing area, galvanizing reaction area, post-treatment area and auxiliary unit; setting zinc pot radiation model, pickling tank corrosion area and cooling water curtain boundary; finally, dynamic flow line analysis is carried out through the conflict points of zinc ingot transportation flow line, workpiece moving track and maintenance channel; the environmental characteristics of zinc mist concentration gradient, temperature stratification zone and corrosive gas distribution are superimposed; a composite grid of surface galvanizing automatic production line composed of core process grid, risk superimposed grid and dynamic monitoring grid is formed. The process of dividing the surface galvanizing automatic production line layout into several grid areas, through the combination of the technical features of each step, forms an efficient, safe and environmentally friendly comprehensive technical system. Spatial layout optimization and safety isolation, the establishment of the main process reference line, realizes the optimization of the spatial layout of the production line. The setting of the reference line not only clearly defines the position of each functional area, but also reasonably allocates the space for the zinc ash settling area, waste gas diffusion area and equipment maintenance channel, realizing the effective use and safety isolation of space; the division of vertical space reasonably divides the waste liquid recovery pipeline, equipment main body and crane track / ventilation pipeline into layers, which is convenient for management and avoids mutual interference between different functional areas. Functional block identification and risk control provide clear boundaries and radiation models for key areas in the production line. By setting the zinc pot radiation model, pickling tank corrosion area and cooling water curtain boundary, the potential risk areas in the production line are effectively identified and controlled; identification helps to take targeted protective measures such as isolation, ventilation, etc. during design and operation to reduce the health risks to operators and the impact on the environment. Dynamic flow line analysis and environmental characteristic superposition make the operation of the production line more efficient and safe. By analyzing the conflict points of zinc ingot transportation flow line, workpiece moving track and maintenance channel, the logistics path can be optimized to reduce pollution and accident risk in the material handling process; at the same time, through the superposition analysis of zinc mist concentration gradient, temperature stratification zone and corrosive gas distribution, real-time monitoring of environmental changes can be realized during production, and process parameters can be adjusted in time to ensure product quality and operation safety. Composite grid construction and real-time monitoring integrate core process grid, risk superimposed grid and dynamic monitoring grid to construct a composite production line grid system; not only includes the basic process flow of the production line, but also covers the needs of risk control and dynamic monitoring; the construction of the core process grid ensures the strict control of key process parameters such as temperature and zinc mist concentration; the setting of the risk superimposed grid realizes the double protection of high-risk areas; the real-time activation of the dynamic monitoring grid provides strong technical support for the stable operation of the production line.

[0075] In summary, the layout and operation of the surface galvanizing automated production line of this embodiment achieve the comprehensive technical effects of space optimization, clear functional blocks, risk control and real-time monitoring, providing a solid technical foundation for improving production efficiency, ensuring operational safety and reducing environmental pollution.

[0076] Example 4: Figure 3 As shown, based on Example 1, the process of evaluating the air quality in a workshop according to key parameters provided by the embodiment of the present invention includes the following steps:

[0077] S201: Bind the dust concentration, humidity and temperature parameters to the attributes of the divided composite grid; dynamically match the preset staged safety thresholds according to the operating status of the surface galvanizing automated production line;

[0078] S202: When an increase in dust is detected in a grid within the composite grid, the pollution source is determined by combining the time series of parameter changes in adjacent grids. When an abnormal concentration of volatile organic compounds is detected, the operating current data of the spray robot arm is simultaneously checked. If the current fluctuations are synchronized with the concentration fluctuations, it is determined that the leakage is caused by equipment seal failure rather than accumulated environmental pollution.

[0079] S203: Abnormal grids are graded according to process impact weights. The first-level response area involves core process grids that immediately start spray dust suppression; the second-level response area involves risk overlay grids that enable directional dust suction; the temporary response area dynamic monitoring grids start local negative pressure isolation.

[0080] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first binds the dust concentration, humidity and temperature parameters to the attributes of the divided composite grid; dynamically matches the preset staged safety threshold according to the operating status of the surface galvanizing automated production line; secondly, when a grid in the composite grid detects an increase in dust, the pollution source is determined in combination with the parameter change sequence of the adjacent grids; when an abnormal concentration of volatile organic compounds is detected, the working current data of the spray robot arm is checked synchronously; if the current fluctuation is synchronized with the concentration fluctuation, it is determined to be a leakage caused by equipment sealing failure rather than environmental cumulative pollution; finally, the abnormal grids are graded according to the process impact weight, and the first-level response area involves the core process grid to immediately start spray dust suppression; the second-level response area risk overlay grid enables directional dust suction; the temporary response area dynamic monitoring grid starts local negative pressure isolation. The above scheme is an overall technical solution for comprehensive evaluation of workshop air quality based on key parameters. By closely linking environmental monitoring with the dynamic operating status of the production line, it ensures the safety of the workshop environment and the stability of the process flow. Real-time environmental monitoring and dynamic threshold matching: By binding key environmental parameters such as dust concentration, humidity, and temperature to composite grid attributes and dynamically matching safety thresholds according to different stages of production line operation, real-time and targeted environmental monitoring is achieved, improving the speed and accuracy of environmental risk response. Rapid location and diagnosis of pollution sources: When an increase in dust is detected in a grid, the pollution source is quickly located by combining the time series changes of the parameters of adjacent grids. For abnormal concentrations of volatile organic compounds (VOCs), the working current data of the spraying robot is synchronously checked to accurately distinguish between equipment failures (such as seal failure) and accumulated environmental pollution, enhancing the accuracy and timeliness of accident diagnosis. Graded response and precise governance: Based on the process impact weight, abnormal grids are graded to respond. The core process grid immediately initiates spray dust suppression, the risk overlay grid activates directional dust suction, and the temporary response area initiates local negative pressure isolation. The graded response mechanism not only improves the pertinence and effectiveness of governance measures, but also avoids waste of resources and ensures the continuous and stable operation of the production line. The overall solution combines process safety and environmental stability. Through precise environmental monitoring and rapid response mechanisms, it ensures environmental safety without affecting the normal operation of the production line, achieving a win-win situation for both process flow and environmental protection.

[0081] In summary, this embodiment achieves comprehensive assessment and effective control of the air quality in the workshop through technical means such as real-time monitoring, rapid diagnosis, and graded response, ensuring the safety and stability of the production environment and the efficient operation of the process flow.

[0082] Example 5: Based on Example 4, the process of binding dust concentration, humidity and temperature parameters with the attributes of the divided composite grid provided in the embodiment of the present invention includes the following steps:

[0083] S2011: Based on the specific content of the composite grid and the dynamic environment container, the nodes of the air quality sensor in the dynamic environment container are loaded with dust concentration differential values, humidity gradient coefficients, and temperature field compensation factors in real time. The data stream collected by the air quality sensor is normalized using a time slot alignment mechanism and then tensor-associated with the spatial coordinates of the composite grid.

[0084] Among them, the dust pulse signal corresponds to the anti-interference weight parameter of the grid, the humidity change slope is bound to the material hydrophilicity mark of the grid, and the temperature sampling value is converted into the grid thermal inertia correction coefficient;

[0085] S2012: Relying on process stage signals transmitted by the equipment status bus of the surface galvanizing automated production line, the corresponding safety baseline template is extracted from the preset threshold knowledge base. Based on the material volatility characteristics of the process section where the composite grid is located, the concentration-humidity-temperature coupling constraint conditions are automatically applied to generate a dynamic warning threshold curve with process adaptability.

[0086] S2013: Enhance data credibility through boundary parameter transmission detection between adjacent grids. When the dust reading change of a grid exceeds the set standard, compare the humidity attenuation curve and temperature diffusion pattern of other grids in the same process unit to eliminate sensor noise data caused by equipment vibration.

[0087] The working principle and beneficial effects of the above technical solution are as follows: First, based on the specific content of the composite grid and the dynamic environment container, the nodes of the air quality sensor in the dynamic environment container are loaded with dust concentration differential values, humidity gradient coefficients, and temperature field compensation factors in real time. A time slot alignment mechanism is used to normalize the data stream collected by the air quality sensor and establish a tensor association with the spatial coordinates of the composite grid. The dust pulse signal corresponds to the grid's anti-interference weight parameter, the humidity change slope is bound to the grid's material hydrophilicity marker, and the temperature sampling value is converted into the grid's thermal inertia correction coefficient. Secondly, based on the process stage signal transmitted by the equipment status bus of the surface galvanizing automated production line, the corresponding safety baseline template is extracted from a preset threshold knowledge base. Based on the material volatility characteristics of the process section in which the composite grid is located, the concentration-humidity-temperature coupling constraint conditions are automatically loaded to generate a dynamic warning threshold curve with process adaptability. Finally, the boundary parameter transmission detection between adjacent grids is used to enhance data credibility. When the dust reading change of a grid exceeds the set standard, the humidity attenuation curve and temperature diffusion pattern of other grids in the same process unit are compared to eliminate sensor noise data caused by equipment vibration. This solution achieves collaborative monitoring of multiple parameters in the industrial environment through dynamic binding of composite grids. It also constructs a spatiotemporally coupled environmental parameter analysis architecture. By tensor-correlating the composite grid coordinate system with sensor data streams, a five-dimensional analysis model (three-dimensional space + time + parameter dimensions) is established, based on the spatial grid and dimensionalized by time series. Dynamic mapping of dust anti-interference weights, material hydrophilicity markers, and thermal inertia correction coefficients enables a continuous topological representation of discrete environmental parameters. A process-adaptive dynamic threshold control mechanism is established. Based on process stage identification and knowledge base template matching via the equipment status bus, the alert thresholds are context-aware. For different process intervals in galvanizing production (e.g., pickling at 480-520°C and passivation at 25-30°C), the corresponding temperature-humidity-dust coupled constraint equations are automatically applied, reducing false alarm rates while maintaining anomaly capture rates. Multimodal data credibility is enhanced, and a boundary parameter transmission verification algorithm is used to establish diffusion continuity and physical constraint relationships between environmental parameters across grids. When a sudden change in dust concentration in a single grid is detected, the system will verify whether the humidity gradient and temperature conduction delay of adjacent grids are consistent with the material properties, and can effectively identify and filter mechanical vibration noise.

[0088] In summary, this embodiment realizes the transformation from independent parameter threshold alarm to process-related multi-dimensional situational awareness. In typical application scenarios, it can improve the response speed of environmental control and significantly optimize energy consumption.

[0089] Example 6: Figure 4 As shown, based on Example 1, the process of starting the corresponding dust removal program provided by the embodiment of the present invention includes the following steps:

[0090] S301: dynamically calculate the pollution diffusion vector and migration rate by combining the concentration-humidity-temperature parameters of the composite grid binding and the adjacent grid change trend;

[0091] If the dust concentration of a certain grid instantaneously rises to the critical slope, and the humidity gradient of the adjacent grid decays radially, it is determined to be a local equipment leakage, and the pulse negative pressure adsorption is activated;

[0092] When multiple grid parameters drift synchronously and the temperature field has a thermal conduction delay greater than the process allowed value, start the wide-area atomization coverage, and the spray particle size is self-adaptively adjusted according to the hydrophilicity of the material bound by the grid;

[0093] S302: based on the process influence weight grading area, construct a first-level response area, a second-level response area, and a third-level dynamic execution chain;

[0094] First-level response area: trigger high-pressure cyclone dust removal unit, use detected equipment current abnormal data to associate airtightness failure point, and dynamically track the pollution vector by spraying direction;

[0095] Second-level response area: enable multi-directional dust suction arm group, suction strength is inversely adjusted according to grid thermal inertia correction coefficient to avoid airflow disturbance in high temperature area;

[0096] Temporary response area: deploy mobile electrostatic precipitation device, running time is closed-loop controlled by the concentration decay curve of the adjacent grid;

[0097] S303: if the dust concentration in the first-level response area is not reduced below the safety threshold, and the humidity gradient continues to be abnormal, it is determined that the dust suppression medium does not match the process, and switches to the inert gas purge mode; when the dust suction efficiency of the second-level area is insufficient, supplement the local airtightness detection module according to the initial pollution source determination result; dynamically update the coupling constraint conditions of dust-temperature-humidity throughout the process, inherit the dynamic template, and optimize the threshold of the next cycle.

[0098] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first combines the concentration-humidity-temperature parameters bound by the composite grid and the changing situation of the adjacent grids to dynamically calculate the pollution diffusion vector and migration rate; if the dust concentration of a certain grid rises instantaneously to a critical slope, and the humidity gradient of the adjacent grid decays radially, it is determined to be a local equipment leak, and the pulsed negative pressure adsorption is activated; when multiple grid parameters drift synchronously and the temperature field has a heat conduction delay greater than the process allowable value, the wide-area atomization coverage is started, and the spray particle size is adaptively adjusted according to the hydrophilicity of the material bound to the grid; secondly, based on the divided process impact weight graded areas, a three-level dynamic execution chain of the first-level response area, the second-level response area and the temporary response area is constructed; the first-level response area: triggers the high-pressure cyclone dust removal unit, and utilizes The detected equipment current anomaly data is associated with the sealing failure point, and the injection direction dynamically tracks the pollution vector; in the secondary response area, a multi-directional dust collection arm group is activated, and the suction strength is reversely adjusted according to the grid thermal inertia correction coefficient to avoid airflow disturbances in high-temperature areas; in the temporary response area, a mobile electrostatic precipitation device is deployed, and the operating time is closed-loop controlled by the concentration decay curve of the adjacent grid; finally, if the dust concentration in the primary response area does not drop below the safety threshold and the humidity gradient continues to be abnormal, it is determined that the dust suppression medium does not match the process and the inert gas purge mode is switched to; when the dust collection efficiency in the secondary area is insufficient, a local sealing detection module is added based on the initial pollution source determination result; the dust-temperature-humidity coupling constraint conditions are dynamically updated throughout the process, the dynamic template is inherited, and the threshold of the next cycle is optimized. The above solution is based on a dynamic intelligent dust removal system with multi-parameter coupling, which significantly improves the accuracy and adaptability of industrial dust control to working conditions through multi-dimensional sensor data fusion and a hierarchical response mechanism. Its core technical effects are reflected in three aspects: first, a real-time dynamic model of dust diffusion is established, and the precise positioning and diffusion prediction of pollution sources are achieved through multi-dimensional gradient analysis of concentration-humidity-temperature fields (including critical slope detection, radial attenuation judgment and heat conduction delay measurement); second, a multimodal collaborative response system is developed, and differentiated response strategies are implemented according to the process influence weights of different regions (including the triggering conditions of pulsed negative pressure adsorption, closed-loop control of cyclone units and current signals, dynamic parameter adjustment of dust collection arm groups, and intelligent start and stop of electrostatic precipitation devices), forming an optimal response plan in both spatial and temporal dimensions; finally, the self-evolution capability of the dust removal strategy is realized, and the response threshold is continuously optimized through the dynamic template inheritance mechanism, and adaptive correction measures such as inert gas Purge mode switching and local sealing detection supplement are introduced to make the system robust to operating condition fluctuations; it effectively solves the problems of delayed response, excessive energy consumption and poor adaptability to operating conditions of traditional dust removal systems.

[0099] Example 7: Based on Example 6, the process of dynamically calculating the pollution diffusion vector and migration rate provided in this embodiment of the present invention includes the following steps:

[0100] S3011: Using a composite grid as the basic processing unit, three key parameter layers are bound in real time: the concentration field uses time differential constraints to monitor slope changes, the humidity field uses a gradient operator to establish a radial transmission model between adjacent nodes, and the temperature field is embedded with a heat conduction time delay coefficient calibration, forming a dynamic calculation foundation. The determination of the critical concentration slope directly triggers the execution conditions of the subsequent pulse negative pressure adsorption module.

[0101] S3012: When the concentration time derivative of a specific grid node exceeds a preset threshold, the second-order spatial differential characteristics of the humidity gradient within its radiation domain are analyzed. If an anisotropic attenuation pattern is present and the temperature conduction phase delay exceeds the process tolerance, a cross-grid parameter coupling analysis is initiated. The humidity gradient attenuation azimuth and the temperature hysteresis are tensor-synthesized to generate the diffusion dominant direction vector. Simultaneously, the concentration differential values ​​of adjacent grids are used to calculate the migration rate scalar. The calculated migration rate scalar drives the wide-area atomization coverage strategy.

[0102] S3013: The real-time calculation results of the migration rate are simultaneously injected into the decision engine of the three-level dynamic execution chain: in the first-level response area, the direction of the diffusion vector determines the injection trajectory servo mechanism of the high-pressure cyclone unit; in the second-level response area, the migration rate amplitude and thermal inertia correction are integrated to generate a negative pressure intensity control signal; the electrostatic precipitation timing in the temporary response area is based on a closed-loop comparison of the integral result of the initial migration rate by the concentration decay curve.

[0103] The working principle and beneficial effects of the above technical solution are as follows: First, this embodiment uses a composite grid as the basic processing unit and binds three key parameter layers in real time: the concentration field uses time differential constraints to monitor slope changes, the humidity field uses a gradient operator to establish a radial transmission model between adjacent nodes, and the temperature field is implanted with a heat conduction time delay coefficient calibration to form a dynamic calculation basis, in which the determination of the critical concentration slope directly triggers the execution condition of the subsequent pulse negative pressure adsorption module; secondly, when the concentration time derivative of a specific grid node exceeds the preset threshold, the second-order spatial differential characteristics of the humidity gradient in its radiation domain are analyzed; if an anisotropic attenuation pattern is presented and the temperature conduction phase delay exceeds the process tolerance, Then, the cross-grid parameter coupling analysis is started, and the humidity gradient attenuation azimuth and the temperature hysteresis are tensor-synthesized to generate the diffusion dominant direction vector; at the same time, the concentration difference values ​​of adjacent grids are used to calculate the migration rate scalar, and the calculation result of the migration rate scalar drives the wide-area atomization coverage strategy; finally, the real-time calculation result of the migration rate is simultaneously injected into the decision engine of the three-level dynamic execution chain: in the first-level response area, the direction of the diffusion vector determines the injection trajectory servo mechanism of the high-pressure cyclone unit; in the second-level response area, the migration rate amplitude and thermal inertia correction are fused to generate a negative pressure intensity control signal; the electrostatic precipitation timing in the temporary response area is based on a closed-loop comparison of the integral result of the initial migration rate with the concentration attenuation curve. This solution achieves quantum-level response and closed-loop control of pollutant migration through a multi-parameter coupled, grid-based real-time computational architecture. The collaborative analysis mechanism for three-dimensional parameter fields utilizes a coupled modeling system of concentration, humidity, and temperature within a composite grid cell. A dynamic computational foundation is constructed through time differential constraints (concentration field slope), radial transfer of gradient operators (humidity field), and heat conduction delay calibration (temperature field). The critical slope triggering mechanism of the concentration field forms a fast-response closed loop with pulsed negative pressure adsorption, while anisotropic decay analysis of the humidity field and temperature delay detection together form a tensor synthesis of the diffusion direction vector. The intelligent decision-making system for migration dynamics automatically activates the second-order spatial differential analysis module when the concentration time derivative exceeds a threshold. Through cross-validation of humidity gradient decay pattern recognition and temperature conduction phase delay detection, a diffusion dominant direction vector with spatiotemporal predictability is generated. The migration rate scalar generated by differential analysis of adjacent grid cells directly drives the wide-area atomization system to implement a proactive defense strategy, enabling predictive interception of pollution diffusion paths. The precise control topology of the hierarchical execution chain constructs a three-level dynamic response network: the trajectory servo of the high-pressure cyclone unit adopts real-time feedback control of the diffusion vector, the negative pressure intensity signal is generated by nonlinear fitting of the migration rate amplitude and the thermal inertia correction value, and the electrostatic precipitation timing is dynamically calibrated by the integral feedback of the initial rate through the concentration decay curve. This structure improves the response accuracy to the millisecond level and the spatial resolution reaches 0.1 times the characteristic length of the grid unit.

[0104] In summary, this embodiment, based on the tensor coupling of multiple physical fields, transforms the passive response of traditional pollution control into an active prevention and control system covering the entire chain of prediction, decision-making, and execution; through the continuous self-calibration mechanism of the parameter field, it ensures robustness under complex meteorological conditions. Typical application scenarios include emergency response to chemical leaks and real-time control of urban haze.

[0105] Example 8: Figure 5 As shown, based on Examples 1 to 7, the dust removal system for the surface galvanizing automated production line provided by the embodiment of the present invention comprises:

[0106] The parameter acquisition module is responsible for installing air quality sensors at various key points in the workshop of the surface galvanizing automated production line to monitor key parameters such as dust concentration, humidity and temperature in real time;

[0107] The quality assessment module is responsible for evaluating the air quality in the workshop based on key parameters. If the dust concentration in a certain workshop area exceeds the preset safety threshold, it will automatically switch to dust removal mode.

[0108] The dust removal execution module is responsible for determining whether the dust removal mode needs to be activated, sending instructions to the dust removal equipment, starting the corresponding dust removal program, and turning on the industrial vacuum cleaner or spray system; after the dust removal equipment starts working, the air quality sensor continues to monitor the air quality and provide real-time feedback.

[0109] The working principle and beneficial effects of the above technical solution are as follows: the parameter acquisition module of this embodiment installs air quality sensors at various key points in the workshop of the surface galvanizing automated production line to monitor key parameters such as dust concentration, humidity and temperature in the air in real time; the quality assessment module assesses the air quality in the workshop based on key parameters, and if it is monitored that the air dust concentration in a certain workshop area exceeds the preset safety threshold, it automatically adjusts to the dust removal mode; the dust removal execution module determines that the dust removal mode needs to be started, sends an instruction to the dust removal equipment, starts the corresponding dust removal program, and turns on the industrial vacuum cleaner or spray system; after the dust removal equipment starts working, the air quality sensor continues to monitor the air quality and provide real-time feedback. The above solution continuously collects key production environment parameters such as workshop dust concentration, temperature and humidity through a multi-point sensor network to form a complete air quality data chain; establishes an automatic judgment mechanism based on preset thresholds, and immediately triggers an emergency response when the dust concentration exceeds the safety standard, effectively preventing safety hazards such as dust explosions and occupational diseases; automatically selects the optimal dust removal method (mechanical dust suction or spray dust reduction) based on real-time monitoring data to ensure the best dust removal effect with minimum energy consumption; forms a closed-loop control through feedback monitoring after execution, dynamically adjusts the working parameters of the dust removal equipment, and maintains the continuous stability of the workshop air quality within the safety threshold; while ensuring dust removal efficiency, humidity / temperature monitoring is used to avoid excessive dust removal affecting the galvanizing process, thereby achieving balanced control of environmental protection and production quality.

[0110] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention's equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A dust removal method for a surface galvanizing automated production line, characterized in that: The following steps are involved: Air quality sensors are installed at key points in the workshop of the surface galvanizing automated production line to monitor key parameters such as dust concentration, humidity and temperature in the air in real time; Evaluate the air quality in the workshop based on key parameters. If the dust concentration in a certain workshop area exceeds the preset safety threshold, the system will automatically switch to dust removal mode. Determine whether the dust removal mode needs to be activated, send instructions to the dust removal equipment, start the corresponding dust removal program, and turn on the industrial vacuum cleaner or spray system; after the dust removal equipment starts working, the air quality sensor continues to monitor the air quality and provide real-time feedback.

2. The dust removal method for the surface galvanizing automated production line according to claim 1, characterized in that: The process of determining the key points in the workshop of the surface galvanizing automated production line includes the following steps: Construct a virtual 3D model to depict the key areas and nodes of the surface galvanizing automated production line and simulate the layout of the surface galvanizing automated production line; divide the simulated layout of the surface galvanizing automated production line into several grid areas, each grid area represents a key area; In the grid layout of the surface galvanizing automated production line, key points are identified. These points are near important equipment on the surface galvanizing automated production line and where the air quality changes reach the preset threshold. After determining the key points, air quality sensors are deployed, with one real-time monitoring air quality sensor installed at each key point; the key parameters collected according to the preset collection cycle are summarized into the data node.

3. The dust removal method for the surface galvanizing automated production line according to claim 2, characterized in that: The process of dividing the simulated surface galvanizing automated production line layout into several grid areas includes the following steps: With the zinc pot as the origin of the longitudinal axis, a main process baseline is established along the workpiece conveying direction. The transverse axis is perpendicular to the conveyor belt, covering the zinc ash settling area, waste gas diffusion area, and equipment maintenance channel. The vertical space is divided according to the workshop floor height, with the waste liquid recovery pipeline as the underground floor, the main equipment as the operating floor, and the driving track / ventilation duct as the high-altitude floor. Identify the functional blocks of the pickling and degreasing area, galvanizing reaction area, post-processing area and auxiliary units; set the zinc pot radiation model, pickling tank corrosion area and cooling water curtain boundary; Dynamic streamline analysis is performed on the zinc ingot transport streamlines, workpiece movement trajectories, and conflict points in maintenance channels. Environmental characteristics are superimposed on the zinc mist concentration gradient, temperature stratification zone, and corrosive gas distribution. A composite grid of the surface galvanizing automated production line is constructed, consisting of a core process grid, a risk superposition grid, and a dynamic monitoring grid.

4. The dust removal method for the surface galvanizing automated production line according to claim 1, characterized in that: The process of evaluating the air quality in a workshop based on key parameters includes the following steps: Bind the dust concentration, humidity and temperature parameters to the properties of the divided composite grid; Dynamically match the preset staged safety threshold according to the operating status of the surface galvanizing automated production line; When dust increase is detected in a grid in the composite grid, the pollution source is determined by combining the parameter change sequence of the adjacent grids; When abnormal concentration of volatile organic compounds is detected, the working current data of the spraying robot arm is checked synchronously; If the current fluctuations are synchronized with the concentration fluctuations, it is determined that the leakage is caused by equipment sealing failure rather than environmental cumulative pollution; Abnormal grids are graded according to process impact weights. In the first-level response area, core process grids are immediately activated for spray dust suppression; in the second-level response area, risk overlay grids are activated for directional dust collection. The dynamic monitoring grid of the temporary response area initiates local negative pressure isolation.

5. The dust removal method for the surface galvanizing automated production line according to claim 4, characterized in that: The process of binding the dust concentration, humidity, and temperature parameters to the properties of the divided composite mesh includes the following steps: Based on the specific content of the composite grid and the dynamic environment container, the nodes of the air quality sensor in the dynamic environment container are loaded with dust concentration differential values, humidity gradient coefficients, and temperature field compensation factors in real time. A time slot alignment mechanism is used to normalize the data stream collected by the air quality sensor and establish a tensor association with the spatial coordinates of the composite grid. Relying on the process stage signals transmitted by the equipment status bus of the surface galvanizing automated production line, the corresponding safety baseline template is extracted from the preset threshold knowledge base. Based on the material volatility characteristics of the process section where the composite grid is located, the concentration-humidity-temperature coupling constraint conditions are automatically loaded to generate a dynamic warning threshold curve with process adaptability. Data credibility is enhanced by conducting boundary parameter detection between adjacent grids. When the dust reading change of a grid exceeds the set standard, the humidity attenuation curve and temperature diffusion pattern of other grids in the same process unit are compared to eliminate sensor noise data caused by equipment vibration.

6. The dust removal method for the surface galvanizing automated production line according to claim 5, characterized in that: in, The dust pulse signal corresponds to the anti-interference weight parameter of the grid, the humidity change slope is bound to the material hydrophilicity mark of the grid, and the temperature sampling value is converted into the grid thermal inertia correction coefficient.

7. The dust removal method for the surface galvanizing automated production line according to claim 1, characterized in that: The process of starting the corresponding dust removal program includes the following steps: Dynamically calculate the pollution diffusion vector and migration rate by combining the concentration-humidity-temperature parameters bound by the composite grid and the changing situation of adjacent grids; Based on the divided process impact weight classification areas, a three-level dynamic execution chain of first-level response area, second-level response area and temporary response area is constructed; If the dust concentration in the primary response area does not drop below the safety threshold and the humidity gradient remains abnormal, the dust suppression medium is determined to be incompatible with the process and the system switches to the inert gas purge mode. If the dust collection efficiency in the secondary area is insufficient, a local sealing detection module is added based on the initial pollution source determination results. The dust-temperature-humidity coupling constraints are dynamically updated throughout the entire process, the dynamic template is inherited, and the threshold value of the next cycle is optimized.

8. The dust removal method for the surface galvanizing automated production line according to claim 7, characterized in that: If the dust concentration in a certain grid rises instantaneously to a critical slope, and the humidity gradient in the adjacent grid decays radially, it is determined to be a local equipment leak and the pulsed negative pressure adsorption is activated; When multiple grid parameters drift synchronously and the temperature field has a heat conduction delay greater than the process allowable value, wide-area atomization coverage is started, and the spray particle size is adaptively adjusted according to the hydrophilicity of the material bound to the grid.

9. The dust removal method for the surface galvanizing automated production line according to claim 7, characterized in that: Level 1 response area: triggers the high-pressure cyclone dust removal unit, uses the detected equipment current abnormality data to correlate the sealing failure point, and dynamically tracks the pollution vector in the injection direction; Secondary response area: The multi-directional vacuum arm group is activated, and the suction strength is reversely adjusted according to the grid thermal inertia correction coefficient; Temporary response area: Deploy mobile electrostatic precipitation devices, and the operating time is controlled by the closed-loop concentration decay curve of the adjacent grid.

10. A dust removal system for an automated surface galvanizing production line, characterized in that: Include: The parameter acquisition module is responsible for installing air quality sensors at various key points in the workshop of the surface galvanizing automated production line to monitor key parameters such as dust concentration, humidity, and temperature in the air in real time; The quality assessment module is responsible for evaluating the air quality in the workshop based on key parameters. If the dust concentration in a certain workshop area exceeds the preset safety threshold, it will automatically switch to dust removal mode. The dust removal execution module is responsible for determining whether the dust removal mode needs to be activated, sending instructions to the dust removal equipment, starting the corresponding dust removal program, and turning on the industrial vacuum cleaner or spray system; after the dust removal equipment starts working, the air quality sensor continues to monitor the air quality and provide real-time feedback.

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