A method and system for dust removal monitoring in a door leaf workshop

Abstract

The present invention discloses a method and system for dust removal monitoring in a door leaf workshop. The method includes: distributed dust sensors conduct real-time monitoring on corresponding intervals to obtain a number of real-time dust monitoring data; the control center analyzes this data to obtain the dust analysis results of each interval, and determines whether the door leaf workshop needs overall dust removal based on whether the average value of this result is greater than or equal to the overall preset standard value; if overall dust removal is required, the control center generates an overall warning and a dust removal strategy based on this result, and the warning and dust removal equipment conduct warning and dust removal based on the corresponding strategy; if not, it is determined whether the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value. If so, the control center generates an interval warning and a dust removal strategy based on this result, and the warning and dust removal equipment conduct warning and dust removal based on the corresponding interval strategy. The present invention can greatly improve the dust removal efficiency by selecting overall or interval dust removal for the door leaf workshop.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical engineering, and particularly to a method and system for dust removal monitoring in a door leaf workshop. Background Art

[0002] During the working process in a door leaf workshop, dust is often generated, which can cause great harm to the physical health of workshop workers. Therefore, dust removal is carried out in each door leaf workshop to ensure the physical health of workshop workers. In the prior art, when dust removal in the workshop is required, the entire workshop is dusted without judging the dust distribution in the workshop. Sometimes, only a few areas in the workshop need dust removal. Such a workshop dust removal scheme has poor flexibility and practicability, and the input cost is too high, but the dust removal efficiency has not been improved. In view of this, a method for dust removal monitoring in a door leaf workshop is proposed, which can monitor and analyze the dust situation in the workshop, and can judge whether to perform overall dust removal or area dust removal on the door leaf workshop, not only improving the flexibility and practicability of the dust removal scheme, but also reducing the input cost and improving the dust removal efficiency. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a method and system for dust removal monitoring in a door leaf workshop, which can monitor and analyze the dust situation in the workshop, and can judge whether to perform overall dust removal or area dust removal on the door leaf workshop, not only improving the flexibility and practicability of the dust removal scheme, but also reducing the input cost and improving the dust removal efficiency.

[0004] To solve the above technical problems, the present invention provides a method for dust removal monitoring in a door leaf workshop, and the method includes:

[0005] Based on distributed dust sensors, real-time monitoring is carried out on corresponding areas in the door leaf workshop to obtain a number of real-time dust monitoring data, and the number of real-time dust monitoring data is transmitted to the control center;

[0006] The control center analyzes the number of real-time dust monitoring data to obtain the dust analysis results of each area, and judges whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results of each area;

[0007] If the average value of the dust analysis results of each area is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy and an overall dust removal strategy based on the dust analysis results of each area. The warning device issues a warning message based on the overall early warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy;

[0008] If the average value of the dust analysis results for each interval is less than the overall preset standard value, then compare the dust analysis result of the corresponding interval with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy.

[0009] Optionally, the real-time monitoring of the corresponding interval in the door leaf workshop by the distributed dust sensors, obtaining a number of real-time dust monitoring data, and transmitting the number of real-time dust monitoring data to the control center, includes:

[0010] Dividing the door leaf workshop into intervals based on the distributed dust sensors, where each dust sensor corresponds to an interval in the door leaf workshop;

[0011] Performing real-time dust data monitoring on the corresponding interval based on the distributed dust sensors, obtaining a number of real-time dust monitoring data;

[0012] The distributed dust sensors establish a data communication connection with the control center, and the distributed dust sensors transmit the number of real-time dust monitoring data to the control center.

[0013] Optionally, the control center analyzes the number of real-time dust monitoring data to obtain the dust analysis results for each interval, and determines whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results for each interval, including:

[0014] The control center analyzes the number of real-time dust monitoring data to obtain the dust analysis results for each interval, where the dust analysis result is the dust diffusion value for each interval;

[0015] Calculate the dust distribution mean value based on the dust diffusion values for each interval using the weighted average method, and determine whether the door leaf workshop needs overall dust removal based on the dust distribution mean value.

[0016] Optionally, the calculation of the dust distribution mean value based on the dust diffusion values for each interval using the weighted average method includes:

[0017] Count the number of intervals with the same dust diffusion value, calculate the proportion of the number of intervals with the same dust diffusion value in the total number of intervals, and use the proportion as the weight;

[0018] Calculate the weighted average based on the weight and the same dust diffusion value, and use the weighted average as the dust distribution mean value.

[0019] Optionally, if the average value of the dust analysis results of each interval is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy and an overall dust removal strategy based on the dust analysis results of each interval. The warning device issues a warning message based on the overall early warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy, including:

[0020] If the average value of the dust distribution is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy based on the average value of the dust distribution. Among them, the overall early warning strategy includes the overall early warning time and the overall warning information;

[0021] The control center generates an overall dust removal strategy based on the average value of the dust distribution. Among them, the overall dust removal strategy includes the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity;

[0022] The warning device issues a warning message to all intervals in the door leaf workshop based on the warning time, and the dust removal device performs dust removal on all intervals in the door leaf workshop based on the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity.

[0023] Optionally, when the dust removal device performs dust removal on all intervals in the door leaf workshop based on the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity, it further includes:

[0024] Perform primary filtration on the dust based on the filter in the dust removal device;

[0025] Perform rotary separation on the dust after primary filtration based on the separator in the dust removal device;

[0026] Perform decontamination and sterilization on the dust after rotary separation based on the decontaminator in the dust removal device, and transfer the dust after decontamination and sterilization to the aggregate box for sealing.

[0027] Optionally, after transferring the dust after decontamination and sterilization to the aggregate box for sealing, it further includes:

[0028] The self-cleaning component in the dust removal device performs self-cleaning on the filter, separator, and decontaminator in the dust removal device until the preset number of cleaning times.

[0029] Optionally, if the average value of the dust analysis results of each interval is less than the overall preset standard value, compare the dust analysis result of the corresponding interval with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval early warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval early warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy, and it further includes:

[0030] If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, an interval warning strategy and an interval dust removal strategy for the corresponding interval are generated based on the dust analysis result of the corresponding interval. Among them, the interval warning strategy includes an interval warning time and an interval warning message, and the interval dust removal strategy includes an interval dust removal cycle, an interval dust removal duration, and an interval dust removal intensity;

[0031] The warning device sends an interval warning message to the corresponding interval based on the interval warning time;

[0032] The dust removal device performs dust removal on the corresponding interval in the door leaf workshop based on the interval dust removal cycle, the interval dust removal duration, and the interval dust removal intensity.

[0033] Optionally, after the dust removal device performs dust removal on the corresponding interval in the door leaf workshop based on the interval dust removal cycle, the interval dust removal duration, and the interval dust removal intensity, it further includes:

[0034] The distributed dust sensor monitors the dust data of the interval where dust has been removed. If the interval analysis result generated from the dust monitoring data is less than the interval preset standard value, the dust removal process ends; if the interval analysis result generated from the dust monitoring data is greater than or equal to the interval preset standard value, the corresponding interval continues to be dusted.

[0035] In addition, the present invention also provides a system for dust removal monitoring in a door leaf workshop. The system includes:

[0036] A real-time monitoring module: used to perform real-time monitoring on the corresponding interval in the door leaf workshop based on the distributed dust sensor, obtain a number of dust real-time monitoring data, and transmit the number of dust real-time monitoring data to the control center;

[0037] An analysis module: used for the control center to analyze the number of dust real-time monitoring data, obtain the dust analysis results of each interval, and judge whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results of each interval;

[0038] An overall dust removal module: used for if the average value of the dust analysis results of each interval is greater than or equal to the overall preset standard value, the control center generates an overall warning strategy and an overall dust removal strategy based on the dust analysis results of each interval. The warning device issues a warning message based on the overall warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy;

[0039] Interval dust removal module: If the average value of the dust analysis results of each interval is less than the overall preset standard value, then compare the dust analysis result of the corresponding interval with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy.

[0040] In the embodiment of the present invention, distributed dust sensors are used to monitor each interval of the door leaf workshop in real time. The control center analyzes the real-time monitoring data and judges whether the door leaf workshop needs overall dust removal according to the average value of the analysis results. If not, dust removal is performed on the intervals that need dust removal in the door leaf workshop, and different warning strategies and dust removal strategies are set according to overall dust removal and interval dust removal. Whether it is overall dust removal or interval dust removal, effective dust removal can be carried out according to the corresponding strategies, avoiding resource waste caused by uniformly selecting overall dust removal because the dust distribution in the workshop cannot be judged. The present invention not only improves the flexibility and practicability of the dust removal scheme, but also can reduce the input cost and improve the dust removal efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0042] Figure 1 is a schematic flowchart of the method for dust removal monitoring in the door leaf workshop in the embodiment of the present invention;

[0043] Figure 2 is a schematic structural composition diagram of the system for dust removal monitoring in the door leaf workshop in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all of them. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0045] Embodiment 1

[0046] Please refer to Figure 1 , Figure 1It is a schematic flowchart of the method for dust removal monitoring in the door leaf workshop in the embodiment of the present invention.

[0047] As Figure 1 shown, a method for dust removal monitoring in a door leaf workshop, the method includes:

[0048] S11: Based on distributed dust sensors, real-time monitoring is carried out on corresponding intervals in the door leaf workshop to obtain a number of real-time dust monitoring data, and the number of real-time dust monitoring data is transmitted to the control center;

[0049] In the specific implementation process of the present invention, the real-time monitoring of corresponding intervals in the door leaf workshop based on distributed dust sensors, obtaining a number of real-time dust monitoring data, and transmitting the number of real-time dust monitoring data to the control center includes: dividing the intervals of the door leaf workshop based on distributed dust sensors, where each dust sensor corresponds to an interval in the door leaf workshop; based on the distributed dust sensors, real-time dust data monitoring is carried out on the corresponding intervals to obtain a number of real-time dust monitoring data; a data communication connection is established between the distributed dust sensors and the control center, and the distributed dust sensors transmit the number of real-time dust monitoring data to the control center.

[0050] Specifically, according to the distributed dust sensors, the intervals of the door leaf workshop are divided. One dust sensor corresponds to one interval in the door leaf workshop, and a corresponding warning device and dust removal device are provided around one dust sensor. The dust sensor can accurately measure the dust data in this interval; according to the distributed dust sensors, real-time dust data monitoring is carried out on the corresponding intervals. The dust sensor obtains dust monitoring data based on the principle of light scattering. The photoelectric transistor in the dust sensor detects the emitted light of dust in the air, and even very fine dust particles can be detected. The infrared light-emitting diode in the dust sensor emits light, and when it encounters dust, reflected light is generated, so that the dust in the atmosphere can be monitored. Moreover, the distributed dust sensors perform real-time monitoring on the corresponding intervals, and the dust monitoring data of each time period in each interval can be understood in a timely manner; a data communication connection is established between the distributed dust sensors and the control center for data transmission between the two parties. The distributed dust sensors transmit a number of real-time dust monitoring data to the control center in a timely manner, so that the control center can analyze the dust monitoring data in a timely manner.

[0051] S12: The control center analyzes the number of real-time dust monitoring data to obtain the dust analysis results of each interval, and judges whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results of each interval;

[0052] In the specific implementation process of the present invention, the control center analyzes the real-time monitoring data of the several dusts, obtains the dust analysis results of each interval, and determines whether the door leaf workshop needs overall dust removal based on the dust analysis results of each interval, including: the control center analyzes the real-time monitoring data of the several dusts to obtain the dust analysis results of each interval, wherein the dust analysis result is the dust diffusion value of each interval; calculates the dust distribution mean value based on the dust diffusion values of each interval by the weighted average method, and determines whether the door leaf workshop needs overall dust removal based on the dust distribution mean value.

[0053] Further, calculating the dust distribution mean value based on the dust diffusion values of each interval by the weighted average method includes: counting the number of intervals with the same dust diffusion value, calculating the proportion of the number of intervals with the same dust diffusion value in the total number of intervals, and taking the proportion as the weight; calculating the weighted average based on the weight and the same dust diffusion value, and taking the weighted average as the dust distribution mean value.

[0054] Specifically, the control center receives several real-time dust monitoring data, analyzes the several real-time dust monitoring data, calculates the dust diffusion value for the real-time dust monitoring data. For calculating the dust diffusion value of the real-time dust monitoring data, first determine the diffusion trajectory of the dust. The diffusion of the dust occurs in space. Select the diffusion trajectory of a certain dust particle as a reference, take the basic starting point of the dust as the source point of the tracking trajectory, and divide its diffusion trajectory into several discrete trajectory intervals. However, when dividing the trajectory intervals, it needs to be divided at the same time interval, that is, each trajectory interval has the same time step. Within each time step, the horizontal velocity and the vertical velocity remain relatively constant. Calculate the pulsating velocity within the time step according to its horizontal velocity and vertical velocity. The pulsating velocity is the random component of the determined trajectory. Calculate according to the pulsating velocity and the time step, and the number of steps of the tracking trajectory after the dust is released can be obtained. According to the number of steps of the tracking trajectory, the time step, and the force on the dust in the atmospheric movement, its diffusion trajectory can be obtained. Then select several other dusts for trajectory analysis, and finally determine the final diffusion trajectory of the dust. According to the dust diffusion trajectory, combined with the dust concentration and the number of dusts passing through a unit area per unit time, the dust diffusion range can be obtained, which is the dust diffusion value; calculate the dust diffusion value according to the weighted average method. First, determine the number of intervals with the same dust diffusion value, calculate the proportion of the number of intervals with the same dust diffusion value in the total number of intervals. This proportion is the weight. Multiply each weight by the corresponding dust diffusion value, and then add the products and divide by the total number of intervals to obtain the weighted average. The weighted average is the dust distribution mean value, that is, the average value of the dust analysis results of each interval. Using the weighted average method to calculate the average value can calculate the average value more accurately. From this average value, the dust situation of the entire door leaf workshop can be observed, so as to be able to judge whether the door leaf workshop needs overall dust removal according to the dust distribution mean value.

[0055] S13: If the average value of the dust analysis results of each interval is greater than or equal to the overall preset standard value, the control center generates an overall warning strategy and an overall dust removal strategy based on the dust analysis results of each interval. The warning device issues a warning message based on the overall warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy;

[0056] In the specific implementation process of the present invention, if the average value of the dust analysis results in each interval is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy and an overall dust removal strategy based on the dust analysis results in each interval. The early warning device issues an early warning message based on the overall early warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy, including: if the dust distribution mean value is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy based on the dust distribution mean value, wherein the overall early warning strategy includes the overall early warning time and the overall early warning message; the control center generates an overall dust removal strategy based on the dust distribution mean value, wherein the overall dust removal strategy includes the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity; the early warning device issues an early warning message to all intervals in the door leaf workshop based on the early warning time, and the dust removal device performs dust removal on all intervals in the door leaf workshop based on the dust removal cycle, the dust removal duration, and the dust removal intensity.

[0057] Further, when the dust removal device performs dust removal on all intervals in the door leaf workshop based on the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity, it further includes: performing primary filtration on the dust based on the filter in the dust removal device; performing rotary separation on the dust after primary filtration based on the separator in the dust removal device; performing decontamination and sterilization on the dust after rotary separation based on the decontaminator in the dust removal device, and transferring the dust after decontamination and sterilization to the aggregate box for sealing.

[0058] Further, after transferring the dust after decontamination and sterilization to the aggregate box for sealing, it further includes: the self-cleaning component in the dust removal device performs self-cleaning on the filter, separator, and decontaminator in the dust removal device until the preset number of cleaning times.

[0059] Specifically, by comparing the average dust distribution with the overall preset standard value, if the average dust distribution is greater than or equal to the overall preset standard value, it indicates that the dust in the entire door leaf workshop has exceeded the standard range, and dust removal needs to be carried out for the entire door leaf workshop. The control center generates an overall early warning strategy and an overall dust removal strategy based on the average dust distribution. The overall early warning strategy includes the warning time and warning information. The warning device receives the overall early warning strategy and sends warning information to all intervals in the door leaf workshop at the specified warning time, so that the staff in the workshop can know that dust removal is about to start and quickly evacuate the door leaf intervals; the dust removal device receives the overall dust removal strategy, and all dust removal devices carry out dust removal for all intervals in the door leaf workshop according to the dust removal intensity, dust removal duration, and dust removal cycle required for the entire door leaf workshop; during the process of overall dust removal, an adjustment mechanism can be established between the dust removal device and the control center. The distributed dust sensors can monitor dust data in real time. During the dust removal by the dust removal device, the dust concentration and dust diffusion values will decrease accordingly. The dust removal device does not need to maintain a high-intensity and long-duration dust removal all the time. The dust sensor transmits the gradually decreasing data to the control center, and the control center adjusts the dust removal intensity and dust removal duration of the dust removal device in real time according to this data. The dust removal device makes dust removal adjustments according to the adjusted intensity and duration. Adding an adjustment mechanism can reduce unnecessary energy consumption output and extend the service life of the dust removal device. When the dust removal duration ends, the dust removal device stops dust removal; the dust sucked by the dust removal device during the dust removal process needs to be treated, otherwise it will pollute the environment. The filter in the dust removal device will conduct primary filtration on the dust, filtering according to the size of the dust. The smaller dust will be directly transmitted to the decontaminator, and the larger dust needs to be transmitted to the separator first. The separator performs rotary separation on the larger dust, which can separate the dust sticking together and transmit the separated dust to the decontaminator. The decontaminator conducts decontamination and sterilization and disinfection treatment on the dust. Conducting decontamination and sterilization and disinfection treatment on the dust can minimize the damage it causes to the environment, and then the dust is transmitted to the aggregate box for sealing to prevent the dust from being blown out of the aggregate box; then the self-cleaning component in the dust removal device conducts cleaning treatment on the filter, separator, and decontaminator, cleaning the residual substances on the filter, separator, and decontaminator, and only when the preset cleaning times are reached, the cleaning treatment is completed. The self-cleaning treatment can effectively extend the service life of the dust removal device, and removing the residual substances can avoid affecting the dust removal effect due to the residual substances in the next dust removal treatment.

[0060] S14: If the average value of the dust analysis results for each interval is less than the overall preset standard value, then compare the dust analysis result of the corresponding interval with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy.

[0061] In the specific implementation process of the present invention, if the average value of the dust analysis results for each interval is less than the overall preset standard value, then compare the dust analysis result of the corresponding interval with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy. It further includes: if the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, generate an interval warning strategy and an interval dust removal strategy for the corresponding interval based on the dust analysis result of the corresponding interval. Among them, the interval warning strategy includes an interval warning time and an interval warning message, and the interval dust removal strategy includes an interval dust removal cycle, an interval dust removal duration, and an interval dust removal intensity; the warning device sends an interval warning message to the corresponding interval based on the interval warning time; the dust removal device performs dust removal on the corresponding interval in the door leaf workshop based on the interval dust removal cycle, the interval dust removal duration, and the interval dust removal intensity.

[0062] Further, after the dust removal device performs dust removal on the corresponding interval in the door leaf workshop based on the interval dust removal cycle, the interval dust removal duration, and the interval dust removal intensity, it further includes: the distributed dust sensor monitors the dust data of the interval where the dust has been removed. If the interval analysis result generated from the dust monitoring data is less than the interval preset standard value, then end the dust removal process; if the interval analysis result generated from the dust monitoring data is greater than or equal to the interval preset standard value, then continue to perform dust removal on the corresponding interval.

[0063] Specifically, when the average value is less than the overall preset standard value, it indicates that the overall dust situation in the door leaf workshop is within the safe and controllable range, and there is no need for overall dust removal. At this time, only the intervals exceeding the standard value in the door leaf workshop need to be dusted. The dust analysis results of the corresponding intervals are compared with the interval preset standard values. If the dust analysis results of the corresponding intervals are greater than or equal to the interval preset standard values, it means that the dust situation in this interval has exceeded the controllable range, and dust removal is required for this interval. The control center generates an interval warning strategy and an interval dust removal strategy for the corresponding interval. The warning device in this interval receives the interval warning strategy and issues a warning message to the interval at the interval warning time, notifying the staff in this interval to evacuate quickly. The dust removal device in this interval receives the interval dust removal strategy and dusts the interval according to the required dust removal cycle, dust removal duration, and dust removal intensity of this interval. Dust removal stops until the dust removal duration ends. For interval dust removal treatment, the dust removal device will also perform primary filtration, rotary separation, decontamination, and sterilization and disinfection treatment on the sucked dust, transfer the dust to the aggregate box for sealing, and perform self-cleaning on the dust removal device. After the dust removal device stops dust removal, the distributed dust sensor transmits the real-time monitored dust data to the control center, and the control center analyzes and compares the data at this time. If the analysis result is still greater than or equal to the interval preset standard value, continue to perform dust removal treatment on the corresponding interval, and cycle through the above treatment steps until the analysis result is less than the interval preset standard value, then the dust removal treatment can be ended. If the analysis result is already less than the interval preset standard value, the dust removal treatment can be directly ended.

[0064] In the embodiment of the present invention, a distributed dust sensor is used to monitor each interval of the door leaf workshop in real time. The control center analyzes the real-time monitored data and judges whether the door leaf workshop needs overall dust removal according to the average value of the analysis results. If not, dust removal is performed on the intervals that need dust removal in the door leaf workshop, and different warning strategies and dust removal strategies are set according to overall dust removal and interval dust removal. Whether it is overall dust removal or interval dust removal, effective dust removal can be carried out according to the corresponding strategies, avoiding resource waste caused by uniformly choosing overall dust removal because the dust distribution situation in the workshop cannot be judged. The present invention not only improves the flexibility and practicability of the dust removal scheme, but also can reduce the input cost and improve the dust removal efficiency.

[0065] Embodiment 2

[0066] Please refer to Figure 2 , Figure 2 which is a schematic structural composition diagram of the dust removal monitoring system for the door leaf workshop in the embodiment of the present invention.

[0067] As Figure 2 shown, a dust removal monitoring system for a door leaf workshop, the system includes:

[0068] Real-time monitoring module 21: used to perform real-time monitoring on the corresponding area in the door leaf workshop based on distributed dust sensors, obtain a number of real-time dust monitoring data, and transmit the number of real-time dust monitoring data to the control center;

[0069] In the specific implementation process of the present invention, the real-time monitoring of the corresponding area in the door leaf workshop based on distributed dust sensors, obtaining a number of real-time dust monitoring data, and transmitting the number of real-time dust monitoring data to the control center includes: dividing the area of the door leaf workshop based on distributed dust sensors, where each dust sensor corresponds to an area in the door leaf workshop; performing real-time dust data monitoring on the corresponding area based on the distributed dust sensors to obtain a number of real-time dust monitoring data; establishing a data communication connection between the distributed dust sensors and the control center, and the distributed dust sensors transmit the number of real-time dust monitoring data to the control center.

[0070] Specifically, according to the distributed dust sensors, the area of the door leaf workshop is divided, one dust sensor corresponds to one area in the door leaf workshop, and there is a corresponding warning device and dust removal device around one dust sensor. The dust sensor can accurately measure the dust data in this area; according to the distributed dust sensors, real-time dust data monitoring is performed on the corresponding area. The dust sensor obtains dust monitoring data based on the principle of light scattering. The photoelectric transistor in the dust sensor detects the emitted light of dust in the air, and even very fine dust particles can be detected. The infrared light-emitting diode in the dust sensor emits light, and when it encounters dust, reflected light is generated, so that the dust in the atmosphere can be monitored. Moreover, the distributed dust sensors perform real-time monitoring on the corresponding area, and the dust monitoring data of each time period in each area can be understood in a timely manner; a data communication connection is established between the distributed dust sensors and the control center for data transmission between the two parties. The distributed dust sensors transmit a number of real-time dust monitoring data to the control center in a timely manner so that the control center can analyze the dust monitoring data in a timely manner.

[0071] Analysis module 22: used for the control center to analyze the number of real-time dust monitoring data, obtain the dust analysis results of each area, and judge whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results of each area;

[0072] In the specific implementation process of the present invention, the control center analyzes the real-time monitoring data of the several dusts, obtains the dust analysis results of each interval, and determines whether the door leaf workshop needs overall dust removal based on the dust analysis results of each interval, including: the control center analyzes the real-time monitoring data of the several dusts to obtain the dust analysis results of each interval, wherein the dust analysis result is the dust diffusion value of each interval; calculates the dust distribution mean value based on the dust diffusion values of each interval by the weighted average method, and determines whether the door leaf workshop needs overall dust removal based on the dust distribution mean value.

[0073] Further, calculating the dust distribution mean value based on the dust diffusion values of each interval by the weighted average method includes: counting the number of intervals with the same dust diffusion value, calculating the proportion of the number of intervals with the same dust diffusion value in the total number of intervals, and taking the proportion as the weight; calculating the weighted average based on the weight and the same dust diffusion value, and taking the weighted average as the dust distribution mean value.

[0074] Specifically, the control center receives several real-time dust monitoring data, analyzes the several real-time dust monitoring data, calculates the dust diffusion value for the real-time dust monitoring data. For calculating the dust diffusion value of the real-time dust monitoring data, first determine the diffusion trajectory of the dust. The diffusion of the dust occurs in space. Select the diffusion trajectory of a certain dust particle as a reference, take the basic starting point of the dust as the source point of the tracking trajectory, and divide its diffusion trajectory into several discrete trajectory intervals. However, when dividing the trajectory intervals, it is necessary to divide them at the same time interval, that is, each trajectory interval has the same time step. Within each time step, the horizontal speed and the vertical speed remain relatively constant. Calculate the pulsation speed within the time step according to its horizontal speed and vertical speed. The pulsation speed is the random component of the determined trajectory. According to the pulsation speed and the time step, the number of steps of the tracking trajectory after the dust is released can be obtained. According to the number of steps of the tracking trajectory, the time step, and the force situation of the dust in the atmospheric movement, its diffusion trajectory can be obtained. Then, select several other dusts for trajectory analysis. Finally, determine the final diffusion trajectory of the dust. According to the diffusion trajectory of the dust, combined with the dust concentration and the number of dust passing through a unit area per unit time, the diffusion range of the dust can be obtained, which is the dust diffusion value; calculate the dust diffusion value according to the weighted average method. First, determine the number of intervals with the same dust diffusion value, calculate the proportion of the number of intervals with the same dust diffusion value in the total number of intervals. This proportion is the weight. Multiply each weight by the corresponding dust diffusion value, and then add the products and divide by the total number of intervals to obtain the weighted average. The weighted average is the dust distribution mean value, that is, the average value of the dust analysis results of each interval. Using the weighted average method to calculate the average value can calculate the average value more accurately. From this average value, the dust situation of the entire door leaf workshop can be observed, so as to be able to judge whether the door leaf workshop needs overall dust removal according to the dust distribution mean value.

[0075] Overall dust removal module 23: If the average value of the dust analysis results of each interval is greater than or equal to the overall preset standard value, the control center generates an overall warning strategy and an overall dust removal strategy based on the dust analysis results of each interval. The warning device issues a warning message based on the overall warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy;

[0076] In the specific implementation process of the present invention, if the average value of the dust analysis results of each interval is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy and an overall dust removal strategy based on the dust analysis results of each interval. The early warning device issues an early warning message based on the overall early warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy, including: if the dust distribution mean value is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy based on the dust distribution mean value, wherein the overall early warning strategy includes the overall early warning time and the overall early warning message; the control center generates an overall dust removal strategy based on the dust distribution mean value, wherein the overall dust removal strategy includes the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity; the early warning device issues an early warning message to all intervals in the door leaf workshop based on the early warning time, and the dust removal device performs dust removal on all intervals in the door leaf workshop based on the dust removal cycle, the dust removal duration, and the dust removal intensity.

[0077] Further, when the dust removal device performs dust removal on all intervals in the door leaf workshop based on the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity, it further includes: performing primary filtration on the dust based on the filter in the dust removal device; performing rotary separation on the dust after primary filtration based on the separator in the dust removal device; performing decontamination and sterilization on the dust after rotary separation based on the decontaminator in the dust removal device, and transferring the dust after decontamination and sterilization to the aggregate box for sealing.

[0078] Further, after transferring the dust after decontamination and sterilization to the aggregate box for sealing, it further includes: the self-cleaning component in the dust removal device performs self-cleaning on the filter, separator, and decontaminator in the dust removal device until the preset number of cleaning times.

[0079] Specifically, by comparing the average dust distribution with the overall preset standard value, if the average dust distribution is greater than or equal to the overall preset standard value, it indicates that the dust in the entire door leaf workshop has exceeded the standard range, and dust removal is required for the entire door leaf workshop. The control center generates an overall early warning strategy and an overall dust removal strategy based on the average dust distribution. The overall early warning strategy includes the warning time and warning information. The warning device receives the overall early warning strategy and sends out warning information to all areas in the door leaf workshop at the specified warning time, so that the staff in the workshop can know that dust removal is about to start and quickly evacuate the door leaf area. The dust removal device receives the overall dust removal strategy, and all dust removal devices carry out dust removal on all areas in the door leaf workshop according to the dust removal intensity, dust removal duration, and dust removal cycle required for the entire door leaf workshop. During the process of overall dust removal, an adjustment mechanism can be established between the dust removal device and the control center. The distributed dust sensor can monitor dust data in real time. During the dust removal by the dust removal device, the dust concentration and dust diffusion value will decrease accordingly. The dust removal device does not need to maintain a high-intensity and long-duration dust removal all the time. The dust sensor transmits the gradually decreasing data to the control center, and the control center adjusts the dust removal intensity and dust removal duration of the dust removal device in real time according to this data. The dust removal device makes dust removal adjustments according to the adjusted intensity and duration. Adding an adjustment mechanism can reduce unnecessary energy consumption output and can extend the service life of the dust removal device. When the dust removal duration ends, the dust removal device stops dust removal. The dust sucked by the dust removal device during the dust removal process needs to be treated, otherwise it will pollute the environment. The filter in the dust removal device will conduct primary filtration on the dust, filtering according to the size of the dust. The smaller dust will be directly transmitted to the decontaminator, and the larger dust needs to be transmitted to the separator first. The separator conducts rotary separation on the larger dust, which can separate the dust sticking together, and transmits the separated dust to the decontaminator. The decontaminator conducts decontamination and sterilization and disinfection treatment on the dust. Conducting decontamination and sterilization and disinfection treatment on the dust can minimize the damage it causes to the environment, and then transmits the dust to the aggregate box for sealing to prevent the dust from being blown out of the aggregate box. Then, the self-cleaning component in the dust removal device conducts cleaning treatment on the filter, separator, and decontaminator, cleaning the residual substances on the filter, separator, and decontaminator, and only completing the cleaning treatment until the preset number of cleaning times is reached. Self-cleaning treatment can effectively extend the service life of the dust removal device, and removing the residual substances can avoid affecting the dust removal effect due to the residual substances in the next dust removal treatment.

[0080] Interval dust removal module 24: If the average value of the dust analysis results of each interval is less than the overall preset standard value, then compare the dust analysis result of the corresponding interval with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy.

[0081] In the specific implementation process of the present invention, if the average value of the dust analysis results of each interval is less than the overall preset standard value, then compare the dust analysis result of the corresponding interval with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy. It further includes: If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, generate an interval warning strategy and an interval dust removal strategy for the corresponding interval based on the dust analysis result of the corresponding interval. Among them, the interval warning strategy includes an interval warning time and an interval warning message, and the interval dust removal strategy includes an interval dust removal cycle, an interval dust removal duration, and an interval dust removal intensity; the warning device sends an interval warning message to the corresponding interval based on the interval warning time; the dust removal device performs dust removal on the corresponding interval in the door leaf workshop based on the interval dust removal cycle, the interval dust removal duration, and the interval dust removal intensity.

[0082] Further, after the dust removal device performs dust removal on the corresponding interval in the door leaf workshop based on the interval dust removal cycle, the interval dust removal duration, and the interval dust removal intensity, it further includes: The distributed dust sensor monitors the dust data of the interval where the dust removal has been performed. If the interval analysis result generated from the dust monitoring data is less than the interval preset standard value, then end the dust removal process; if the interval analysis result generated from the dust monitoring data is greater than or equal to the interval preset standard value, then continue to perform dust removal on the corresponding interval.

[0083] Specifically, when the average value is less than the overall preset standard value, it indicates that the overall dust situation in the door leaf workshop is within the safe and controllable range, and overall dust removal is not required. At this time, only the intervals exceeding the standard value in the door leaf workshop need to be dusted. The dust analysis results of the corresponding intervals are compared with the interval preset standard values. If the dust analysis results of the corresponding intervals are greater than or equal to the interval preset standard values, it means that the dust situation in these intervals has exceeded the controllable range, and dust removal needs to be carried out in these intervals. The control center generates interval warning strategies and interval dust removal strategies for the corresponding intervals. The warning devices in these intervals receive the interval warning strategies and send warning messages to the intervals at the interval warning time to notify the staff in these intervals to evacuate quickly. The dust removal devices in these intervals receive the interval dust removal strategies and carry out dust removal in the intervals according to the required dust removal cycle, dust removal duration, and dust removal intensity in these intervals. Dust removal stops until the dust removal duration ends. For interval dust removal, the dust removal devices will also carry out primary filtration, rotary separation, decontamination, and sterilization and disinfection treatments on the sucked dust, transfer the dust to the aggregate box for sealing, and perform self-cleaning on the dust removal devices. After the dust removal devices stop dust removal, the distributed dust sensors transmit the real-time monitored dust data to the control center. The control center then analyzes and compares the data at this time. If the analysis results are still greater than or equal to the interval preset standard values, dust removal treatment on the corresponding intervals continues, and the above treatment steps are cycled until the analysis results are less than the interval preset standard values, then the dust removal treatment can be ended. If the analysis results are less than the interval preset standard values, the dust removal treatment can be directly ended.

[0084] In the embodiment of the present invention, distributed dust sensors are used to monitor each interval in the door leaf workshop in real time. The control center analyzes the real-time monitored data and judges whether overall dust removal is required in the door leaf workshop according to the average value of the analysis results. If not, dust removal is carried out on the intervals that need dust removal in the door leaf workshop, and different warning strategies and dust removal strategies are set according to overall dust removal and interval dust removal. Whether it is overall dust removal or interval dust removal, effective dust removal can be carried out according to the corresponding strategies, avoiding resource waste caused by uniformly choosing overall dust removal because the dust distribution situation in the workshop cannot be judged. The present invention not only improves the flexibility and practicability of the dust removal scheme, but also can reduce the input cost and improve the dust removal efficiency.

[0085] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable storage medium. The storage medium can include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.

[0086] In addition, the above has introduced in detail a method and system for dust removal monitoring in a door leaf workshop provided by the embodiments of the present invention. Specific examples should have been used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for dust removal monitoring in a door leaf workshop, characterized in that, The method includes: Based on distributed dust sensors, real-time monitoring is carried out on corresponding intervals in the door leaf workshop to obtain a number of real-time dust monitoring data, and the number of real-time dust monitoring data is transmitted to the control center; The control center analyzes the number of real-time dust monitoring data to obtain the dust analysis results of each interval, and judges whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results of each interval; If the average value of the dust analysis results of each interval is greater than or equal to the overall preset standard value, the control center generates an overall warning strategy and an overall dust removal strategy based on the dust analysis results of each interval. The warning device issues a warning message based on the overall warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy; If the average value of the dust analysis results of each interval is less than the overall preset standard value, the dust analysis result of the corresponding interval is compared with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy; Among them, the control center analyzes the number of real-time dust monitoring data to obtain the dust analysis results of each interval, and judges whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results of each interval, including: the control center analyzes the number of real-time dust monitoring data to obtain the dust analysis results of each interval, where the dust analysis result is the dust diffusion value of each interval. Select the diffusion trajectory of a certain dust particle as a reference, take the basic starting point of the dust as the source point of the tracking trajectory, divide its diffusion trajectory into several discrete trajectory intervals, each trajectory interval is the same time step, and within each time step, the horizontal speed and the vertical speed remain relatively constant. Calculate the pulsation speed within the time step according to its horizontal speed and vertical speed. The pulsation speed is the random component of the determined trajectory. Calculate according to the pulsation speed and the time step to obtain the number of steps of the tracked trajectory after the dust is released. Based on the number of steps of the tracking trajectory, the time step and the force situation of the dust in the atmospheric movement, obtain its diffusion trajectory. Then select multiple other dusts for trajectory analysis to determine the final diffusion trajectory of the dust. According to the dust diffusion trajectory, combined with the dust concentration and the number of dusts passing through a unit area per unit time, the dust diffusion range can be obtained, which is the dust diffusion value; Calculate the dust distribution mean value based on the dust diffusion values of each interval by the weighted average method, and judge whether the door leaf workshop needs overall dust removal based on the dust distribution mean value; If the average value of the dust analysis results in each interval is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy and an overall dust removal strategy based on the dust analysis results in each interval. The early warning device issues an early warning message based on the overall early warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy, including: If the dust distribution mean value is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy based on the dust distribution mean value, where the overall early warning strategy includes the overall early warning time and the overall early warning message; the control center generates an overall dust removal strategy based on the dust distribution mean value, where the overall dust removal strategy includes the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity; the early warning device issues an early warning message to all intervals in the door leaf workshop based on the overall early warning time, and the dust removal device performs dust removal on all intervals in the door leaf workshop based on the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity. During the process of overall dust removal, an adjustment mechanism is established between the dust removal device and the control center.

2. The method for dust removal monitoring in a door leaf workshop according to claim 1, characterized in that, The real-time monitoring of the corresponding intervals in the door leaf workshop based on the distributed dust sensors, obtaining a number of real-time dust monitoring data, and transmitting the number of real-time dust monitoring data to the control center, including: Dividing the door leaf workshop into intervals based on the distributed dust sensors, where each dust sensor corresponds to an interval in the door leaf workshop; Performing real-time dust data monitoring on the corresponding intervals based on the distributed dust sensors, obtaining a number of real-time dust monitoring data; The distributed dust sensors establish a data communication connection with the control center, and the distributed dust sensors transmit the number of real-time dust monitoring data to the control center.

3. The method for dust removal monitoring in a door leaf workshop according to claim 1, characterized in that, Calculating the dust distribution mean value based on the weighted average method for the dust diffusion values in each interval, including: Counting the number of intervals with the same dust diffusion value, calculating the proportion of the number of intervals with the same dust diffusion value in the total number of intervals, and taking the proportion as the weight; Calculating the weighted average based on the weight and the same dust diffusion value, and taking the weighted average as the dust distribution mean value.

4. The method for dust removal monitoring in a door leaf workshop according to claim 1, characterized in that, When the dust removal device performs dust removal on all intervals in the door leaf workshop based on the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity, it also includes: Performing primary filtration on the dust based on the filter in the dust removal device; Performing rotary separation on the dust after primary filtration based on the separator in the dust removal device; Performing decontamination and sterilization on the dust after rotary separation based on the decontaminator in the dust removal device, and transferring the dust after decontamination and sterilization to the aggregate box for sealing.

5. The method for dust removal monitoring in a door leaf workshop according to claim 4, characterized in that, After transferring the dust after decontamination and sterilization to the aggregate box for sealing, it also includes: The self-cleaning component in the dust removal device performs self-cleaning on the filter, separator, and decontaminator in the dust removal device until the preset number of cleaning times.

6. The method for dust removal monitoring in a door leaf workshop according to claim 1, characterized in that, If the average value of the dust analysis results in each interval is less than the overall preset standard value, then the dust analysis result of the corresponding interval is compared with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy. It further includes: If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, an interval warning strategy and an interval dust removal strategy for the corresponding interval are generated based on the dust analysis result of the corresponding interval. Among them, the interval warning strategy includes an interval warning time and an interval warning message, and the interval dust removal strategy includes an interval dust removal cycle, an interval dust removal duration, and an interval dust removal intensity; The warning device sends an interval warning message to the corresponding interval based on the interval warning time; The dust removal device performs dust removal on the corresponding interval in the door leaf workshop based on the interval dust removal cycle, the interval dust removal duration, and the interval dust removal intensity.

7. The method for dust removal monitoring in a door leaf workshop according to claim 6, characterized in that, After the dust removal device performs dust removal on the corresponding interval in the door leaf workshop based on the interval dust removal cycle, the interval dust removal duration, and the interval dust removal intensity, it further includes: The distributed dust sensor monitors the dust data of the interval where dust removal has been performed. If the interval analysis result generated from the dust monitoring data is less than the interval preset standard value, the dust removal process ends; if the interval analysis result generated from the dust monitoring data is greater than or equal to the interval preset standard value, the corresponding interval continues to be dusted.

8. A system for dust removal monitoring in a door leaf workshop, characterized in that, The system includes: A real-time monitoring module: used to perform real-time monitoring on the corresponding interval in the door leaf workshop based on the distributed dust sensor, obtain a number of dust real-time monitoring data, and transmit the number of dust real-time monitoring data to the control center; An analysis module: used for the control center to analyze the number of dust real-time monitoring data, obtain the dust analysis results of each interval, and judge whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results of each interval; An overall dust removal module: used for if the average value of the dust analysis results of each interval is greater than or equal to the overall preset standard value, the control center generates an overall warning strategy and an overall dust removal strategy based on the dust analysis results of each interval. The warning device issues a warning message based on the overall warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy; An interval dust removal module: used for if the average value of the dust analysis results of each interval is less than the overall preset standard value, then the dust analysis result of the corresponding interval is compared with the interval preset standard value. If the dust analysis result of the corresponding interval is greater than or equal to the interval preset standard value, the control center generates an interval warning strategy and an interval dust removal strategy based on the dust analysis result of the corresponding interval. The warning device issues a warning message based on the interval warning strategy, and the dust removal device performs dust removal based on the interval dust removal strategy; Among them, the control center analyzes the real-time dust monitoring data of the several intervals to obtain the dust analysis results of each interval, and judges whether the door leaf workshop needs overall dust removal based on the average value of the dust analysis results of each interval, including: the control center analyzes the real-time dust monitoring data of the several intervals to obtain the dust analysis results of each interval. Among them, the dust analysis result is the dust diffusion value of each interval. Select the diffusion trajectory of a certain dust particle as a reference, take the basic starting point of the dust as the source point of the tracking trajectory, divide its diffusion trajectory into several discrete trajectory intervals, each trajectory interval is of the same time step length, and within each time step length, the horizontal speed and the vertical speed remain relatively constant. Calculate the pulsation speed within the time step length according to its horizontal speed and vertical speed. The pulsation speed is the random component of the determined trajectory. Calculate according to the pulsation speed and the time step length to obtain the number of steps of the tracking trajectory after the dust is released. According to the number of steps of the tracking trajectory, the time step length, and the force received by the dust in the atmospheric movement, obtain its diffusion trajectory. Then select multiple other dust particles for trajectory analysis to determine the final diffusion trajectory of the dust. According to the diffusion trajectory of the dust, combined with the dust concentration and the number of dust particles passing through a unit area per unit time, the diffusion range of the dust can be obtained, which is the dust diffusion value; calculate the dust distribution mean value based on the weighted average method for the dust diffusion values of each interval, and judge whether the door leaf workshop needs overall dust removal based on the dust distribution mean value; If the average value of the dust analysis results of each interval is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy and an overall dust removal strategy based on the dust analysis results of each interval. The early warning device issues an early warning message based on the overall early warning strategy, and the dust removal device performs dust removal based on the overall dust removal strategy, including: if the dust distribution mean value is greater than or equal to the overall preset standard value, the control center generates an overall early warning strategy based on the dust distribution mean value. Among them, the overall early warning strategy includes the overall early warning time and the overall early warning message; the control center generates an overall dust removal strategy based on the dust distribution mean value. Among them, the overall dust removal strategy includes the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity; the early warning device issues an early warning message to all intervals in the door leaf workshop based on the overall early warning time, and the dust removal device performs dust removal on all intervals in the door leaf workshop based on the overall dust removal cycle, the overall dust removal duration, and the overall dust removal intensity. During the process of overall dust removal, an adjustment mechanism is established between the dust removal device and the control center.

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