Method for regulating and controlling totally-enclosed overhead door in false tooth production line based on environmental perception

By collecting dust concentration and environmental data in real time, calculating the dust concentration dispersion coefficient and infringement risk index, and dynamically adjusting the opening speed of the lift door, the problem of unreasonable control of the lift door opening speed in the existing technology is solved, and a more efficient dust prevention and control effect is achieved.

CN120742826AInactive Publication Date: 2025-10-03SHENZHEN CRADLE MEDICAL SCI TECH CO LTD
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Patent Information

Application Number
CN202511208738.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-27
Publication Date
2025-10-03
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, adjusting the opening speed of the lift door based on dust concentration is not very rational, cannot effectively avoid dust pollution, and fails to fully consider the impact of environmental factors.

Method used

By collecting dust concentration and environmental data in real time, calculating the dust concentration dispersion coefficient, analyzing the abnormal increase in dust concentration, and dynamically adjusting the opening speed of the lifting door based on the dust invasion risk index, the sealing patch pressurization function is activated.

Benefits of technology

The accuracy and reliability of the lifting door opening speed control are improved, the risk of dust intrusion into the clean workshop is reduced, and the safety of the production environment is ensured.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of false tooth production, and particularly discloses a totally-closed overhead door regulation and control method in a false tooth production line based on environmental perception, and the method comprises the steps: collecting dust concentration data and environmental data near cleaning equipment after the false tooth production line starts to work in real time through a data collection module; the real-time dust concentration discrete coefficient near the cleaning equipment after the false tooth production line starts to work is obtained through calculation, whether the dust concentration is abnormally increased or not after the false tooth production line starts to work can be analyzed, and the data can reflect whether hidden risks exist or not. And then the dust invasion risk of the cleaning equipment totally-closed lifting door during each opening is analyzed in combination with the environmental data, so that the accuracy of the dust invasion risk analysis result of the cleaning equipment totally-closed lifting door during each opening can be improved based on a multi-parameter collaborative fusion mode. Therefore, the reliability of the opening speed adjusting result of the totally-closed overhead door is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of denture production, and in particular to a method for controlling a fully enclosed lifting door in a denture production line based on environmental perception. Background Art

[0002] In the denture production line, clean equipment is a special equipment located in the clean workshop, which is used to control the fully enclosed lifting door to build a fully closed-loop airtight environment. By building a fully closed-loop airtight environment, it can effectively prevent pollutants such as dust and microorganisms in the air from entering the clean workshop, ensuring the hygiene and safety of the denture production process.

[0003] During the denture production process, when raw materials, semi-finished dentures or production equipment need to be transported into or out of the clean workshop, the clean equipment needs to control the opening of the lifting door. During this process, since the clean workshop needs to maintain positive pressure to prevent external pollution from invading, the pressure difference drops instantly when the lifting door is opened. If the door speed is too fast, the pressure difference recovery time will be prolonged, which will cause the dust intrusion time window to expand. Therefore, in order to avoid dust intrusion, the clean equipment will dynamically adjust the opening speed of the lifting door based on the dust concentration data in the external environment to avoid rapid opening and closing of the door, which will cause drastic fluctuations in pressure difference, resulting in air backflow and dust pollution.

[0004] In the existing technology, in order to prevent the intrusion of dust, when the dust concentration is high, the clean equipment will dynamically adjust the opening speed of the lifting door based on the dust concentration data to prevent dust from invading the clean workshop. However, the dust concentration cannot fully reflect the pollution risk of dust. The actual pollution risk will also be affected by variables such as environmental factors. Therefore, simply adjusting the opening speed of the lifting door based on the dust concentration is less rational. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for controlling a fully enclosed lifting door in a denture production line based on environmental perception, and to solve the following technical problems: How to improve the rationality of lift door opening speed control.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A method for controlling a fully enclosed lifting door in a denture production line based on environmental perception, the method comprising: S1: The data acquisition module collects real-time dust concentration data and environmental data near the cleaning equipment after the denture production line starts working; S2: By combining the real-time collected dust concentration data, the real-time dust concentration dispersion coefficient near the cleaning equipment after the denture production line starts working is calculated; S3: By combining the real-time dust concentration dispersion coefficient near the cleaning equipment after the denture production line starts working, analyze whether there is an abnormal increase in dust concentration after the denture production line starts working; S4: By combining the environmental data near the clean equipment after the denture production line starts working and the dust concentration dispersion coefficient, the dust invasion risk of each time the fully enclosed lifting door of the clean equipment is opened is analyzed; S5: Dynamically adjust the opening speed of the fully enclosed lift door of the clean equipment by combining the dust invasion risk analysis results each time the fully enclosed lift door is opened.

[0007] Furthermore, the environmental data collected in S1 includes: The indoor temperature, indoor humidity and air supply speed of the clean room lift door at any time when it is opened.

[0008] Furthermore, the calculation process in S2 includes: By formula Calculate the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time ; Where a is any opening of the lifting door of the clean equipment after the denture production line starts working, i is a data collection at a fixed time interval, is the total number of data collection times when the lifting door of the clean equipment is opened for the ath time, is the dust concentration near the clean equipment during the i-th data collection, For all The average value of For all The maximum value in For all The minimum value in is the proportionality coefficient, which is selected and set based on the allowable error in empirical data.

[0009] Furthermore, the analysis process in S3 includes: By calculating the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time The preset dust concentration dispersion coefficient threshold Make a comparison; like , determine that there is an abnormal increase in dust concentration near the clean equipment from the time the denture production line starts working to the time the lift door of the clean equipment is opened for the ath time; like , it is judged that there is no abnormal increase in the dust concentration near the clean equipment from the start of the denture production line to the ath opening of the clean equipment lifting door.

[0010] Furthermore, the analysis process in S3 also includes: When it is judged that there is an abnormal increase in the dust concentration near the denture production line from the start of work to the a-th opening of the clean equipment lift door, the dust concentration dispersion coefficient when the clean equipment lift door is opened for the a-th time is calculated. Assign value, let ; When it is judged that there is no abnormal increase in the dust concentration near the denture production line from the start of work to the a-th opening of the clean equipment lifting door, the dust concentration dispersion coefficient when the clean equipment lifting door is opened for the a-th time is calculated. Assign value, let .

[0011] Furthermore, the analysis process in S4 includes: By formula Calculate the dust invasion risk index when the clean equipment lifting door is opened for the ath time ; in, is the indoor air supply speed when the lifting door of the clean equipment is opened for the ath time, is the preset air supply speed, for The standard value of For the first defined function, if , then let Otherwise, let , The indoor temperature when the lifting door of the clean room is opened for the ath time, is the preset indoor temperature. The indoor humidity when the lifting door of the clean equipment is opened for the ath time, is the preset indoor humidity, is the dust concentration near the lift door of the clean equipment when it is opened for the ath time, For the preset dust concentration, for The standard value of For the second defined function, if , then let Otherwise, let , The adjustment coefficient comparison table function can be obtained based on the empirical data. The impact of the numerical range on dust intrusion was obtained through a deep learning model based on a large number of tests.

[0012] Furthermore, the analysis process in S4 further includes: The dust invasion risk index when the lifting door of the clean equipment is opened for the first time is calculated by and the preset dust damage risk index threshold Make a comparison; like , it is judged that when the lifting door of the clean equipment is opened for the ath time, the risk of dust invasion outside the clean equipment is high, and the speed of the lifting door needs to be reduced to avoid pollution transmission; like , it is judged that when the lifting door of the clean equipment is opened for the ath time, the risk of dust invasion outside the clean equipment is low, and there is no need to reduce the speed of the lifting door.

[0013] Furthermore, the adjustment process in S5 includes: By measuring the dust invasion risk index when the lifting door of the clean equipment is opened for the ath time Assign a value, and the dust invasion risk index is generated between 1 and 2, and when the lifting door of the clean equipment is opened for the ath time The dust invasion risk value when the lift door is opened for the ath time increases with the increase of ; Among them, the dust invasion risk index when the clean equipment lifting door is opened for the ath time is The corresponding dust invasion risk value when the lift door is opened for the ath time is set to .

[0014] Furthermore, the adjustment process in S5 further includes: When the risk of dust damage to the outside of the clean equipment is judged to be high; By formula Calculate the opening speed of the clean equipment lift door after the adjustment when it is opened for the ath time ; in, The preset opening speed for the lift gate.

[0015] Furthermore, the adjustment process in S5 further includes: By combining the lifting door opening speed adjusted when the lifting door of the clean equipment is opened for the ath time The speed of the lifting door is regulated and the sealing patch pressurization function is activated simultaneously.

[0016] Beneficial effects of the present invention: (1) The present invention calculates the real-time dust concentration dispersion coefficient near the clean equipment after the denture production line starts working, and can analyze whether there is an abnormal increase in dust concentration after the denture production line starts working. This data can indirectly reflect whether there is a hidden risk. Then, combined with the environmental data, the dust invasion risk of the clean equipment is analyzed each time the fully enclosed lifting door is opened. It can be realized based on a multi-parameter collaborative fusion method to improve the accuracy of the dust invasion risk analysis results each time the fully enclosed lifting door of the clean equipment is opened, thereby improving the reliability of the fully enclosed lifting door opening speed adjustment results.

[0017] (2) The present invention calculates the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time. Compare with the preset dust concentration dispersion coefficient threshold Through this comparison method, we can accurately analyze whether there is an abnormal increase in dust concentration near the clean equipment during the period from the start of the denture production line to the ath opening of the clean equipment lifting door, thereby providing additional data support for the subsequent dust intrusion risk, and providing data support for the subsequent adjustment of the clean equipment lifting door speed, thereby avoiding the increase in intrusion risk caused by abnormal increase in dust concentration.

[0018] (3) The present invention calculates the dust invasion risk index when the lifting door of the clean equipment is opened for the ath time. and the preset dust damage risk index threshold By comparing the results, we can make an accurate judgment on the risk of dust intrusion on the outside of the clean equipment when the lift door of the clean equipment is opened for the ath time based on the diversified data fusion, and then provide accurate data for deciding whether to adjust the lift door of the clean equipment. On this basis, we can improve the reliability of the opening speed adjustment method of the fully enclosed lift door and the subsequent adjustment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below with reference to the accompanying drawings.

[0020] Figure 1 This is a flow chart of the fully enclosed lifting door control method in the denture production line based on environmental perception in the present invention. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, in one embodiment, the present application provides a method for controlling a fully enclosed lifting door in a denture production line based on environmental perception, the method comprising: S1: The data acquisition module collects real-time dust concentration data and environmental data near the cleaning equipment after the denture production line starts working; S2: By combining the real-time collected dust concentration data, the real-time dust concentration dispersion coefficient near the cleaning equipment after the denture production line starts working is calculated; S3: By combining the real-time dust concentration dispersion coefficient near the cleaning equipment after the denture production line starts working, analyze whether there is an abnormal increase in dust concentration after the denture production line starts working; S4: By combining the environmental data near the clean equipment after the denture production line starts working and the dust concentration dispersion coefficient, the dust invasion risk of each time the fully enclosed lifting door of the clean equipment is opened is analyzed; S5: Dynamically adjust the opening speed of the fully enclosed lift door of the clean equipment by combining the dust invasion risk analysis results each time the fully enclosed lift door is opened; Through the above technical solution, this example provides a method for controlling a fully enclosed lifting door in a denture production line based on environmental perception. First, the data acquisition module collects in real time the dust concentration data and environmental data near the clean equipment after the denture production line starts working. Then, by combining the real-time collected dust concentration data, the real-time dust concentration dispersion coefficient near the clean equipment after the denture production line starts working is calculated. By combining the real-time dust concentration dispersion coefficient near the clean equipment after the denture production line starts working, it is analyzed whether there is an abnormal increase in dust concentration after the denture production line starts working. Subsequently, by combining the environmental data near the clean equipment after the denture production line starts working and the dust concentration dispersion coefficient, the dust intrusion risk of each time the fully enclosed lifting door of the clean equipment is opened can be analyzed. By combining the dust intrusion risk analysis results each time the fully enclosed lifting door of the clean equipment is opened, the opening speed of the fully enclosed lifting door can be dynamically adjusted. With such a setting, by calculating the real-time dust concentration dispersion coefficient near the clean equipment after the denture production line starts working, it is possible to analyze whether there is an abnormal increase in dust concentration after the denture production line starts working. This data can indirectly reflect whether there are hidden risks. Then, combined with the environmental data, the dust invasion risk of the clean equipment's fully enclosed lifting door is analyzed each time it is opened. This can be achieved based on a multi-parameter collaborative fusion method to improve the accuracy of the dust invasion risk analysis results each time the fully enclosed lifting door of the clean equipment is opened, thereby improving the reliability of the fully enclosed lifting door opening speed adjustment results.

[0023] The environmental data collected in S1 includes: The indoor temperature, indoor humidity and air supply speed of the clean room lift door at any time when it is opened; Through the above technical solution, this example provides environmental data collected in S1, including the indoor temperature, indoor humidity and air supply speed when the clean equipment lifting door is opened at any time. Among them, when the indoor temperature is too high, the Brownian motion of dust particles will be accelerated, and the diffusion range of dust particles will be increased, thereby increasing the risk of dust intrusion into the clean workshop. When the indoor humidity is too low, the electrostatic effect is enhanced, and it is easy to adhere to the outside of the clean equipment lifting door, thereby increasing the risk of dust intrusion into the clean workshop. Finally, when the air supply speed is too high when the clean equipment lifting door is opened at any time, the diffusion range of dust particles will also be increased, thereby increasing the risk of dust intrusion into the clean workshop. When the air supply speed is too low, dust will be attached to the outside of the clean equipment lifting door. Therefore, based on diversified environmental data, diversified data support can be provided for the subsequent analysis of dust intrusion risk to ensure the accuracy of the analysis results, thereby improving the reliability of the subsequent clean equipment lifting door speed control results.

[0024] The calculation process in S2 includes: By formula Calculate the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time ; Where a is any opening of the lifting door of the clean equipment after the denture production line starts working, i is a data collection at a fixed time interval, is the total number of data collection times when the lifting door of the clean equipment is opened for the ath time, is the dust concentration near the clean equipment during the i-th data collection, For all The average value of For all The maximum value in For all The minimum value in is the proportionality coefficient, which is set based on the allowable error in the empirical data; Through the above technical solution, this example provides the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time , can be obtained by formula The data obtained by calculation can reflect the degree of dispersion of the dust concentration data collected near all clean equipment in the time period from the start of the denture production line to the a-th opening of the clean equipment lifting door. The higher the degree of dispersion, the more abnormal increase in dust concentration occurs during the process, that is, whether there is a hidden risk. By combining this data, additional data support can be provided for the subsequent analysis of the dust intrusion risk at any opening of the clean equipment lifting door, and data support can be provided for the subsequent adjustment of the clean equipment lifting door speed, thereby avoiding the situation where the intrusion risk increases due to abnormal increase in dust concentration.

[0025] The analysis process in S3 includes: By calculating the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time The preset dust concentration dispersion coefficient threshold Make a comparison; like , determine that there is an abnormal increase in dust concentration near the clean equipment from the time the denture production line starts working to the time the lift door of the clean equipment is opened for the ath time; like , determine that there is no abnormal increase in dust concentration near the clean equipment from the time the denture production line starts working to the time the lift door of the clean equipment is opened for the ath time; Through the above technical solution, this example calculates the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time. Compare with the preset dust concentration dispersion coefficient threshold Through this comparison method, we can accurately analyze whether there is an abnormal increase in dust concentration near the clean equipment during the period from the start of the denture production line to the a-th opening of the clean equipment lift door, thereby providing additional data support for the subsequent dust intrusion risk and providing data support for the subsequent adjustment of the clean equipment lift door speed, thereby avoiding the situation where the abnormal increase in dust concentration leads to an increased intrusion risk. It should be noted that the above-mentioned preset dust concentration dispersion coefficient threshold It can be set based on experience fitting.

[0026] The analysis process in S3 also includes: When it is judged that there is an abnormal increase in the dust concentration near the denture production line from the start of work to the a-th opening of the clean equipment lift door, the dust concentration dispersion coefficient when the clean equipment lift door is opened for the a-th time is calculated. Assign value, let ; When it is judged that there is no abnormal increase in the dust concentration near the denture production line from the start of work to the a-th opening of the clean equipment lifting door, the dust concentration dispersion coefficient when the clean equipment lifting door is opened for the a-th time is calculated. Assign value, let ; Through the above technical solution, this example combines the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time The preset dust concentration dispersion coefficient threshold The comparison result can be the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time Assign values ​​to provide additional data support for subsequent dust intrusion risks; It should be noted that the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time is The assignment result is obtained through deep learning model training based on a large amount of data.

[0027] The analysis process in S4 includes: By formula Calculate the dust invasion risk index when the clean equipment lifting door is opened for the ath time ; in, is the indoor air supply speed when the lifting door of the clean equipment is opened for the ath time, is the preset air supply speed, for The above standard values ​​can be set based on the allowable error in the empirical data. For the first defined function, if , then let Otherwise, let , The indoor temperature when the lifting door of the clean room is opened for the ath time, is the preset indoor temperature. The indoor humidity when the lifting door of the clean equipment is opened for the ath time, is the preset indoor humidity, is the dust concentration near the lift door of the clean equipment when it is opened for the ath time, For the preset dust concentration, for The above standard values ​​can be set based on the allowable error in the empirical data. For the second defined function, if , then let Otherwise, let , The adjustment coefficient comparison table function can be obtained based on the empirical data. The impact of the numerical range on dust intrusion was obtained through a deep learning model based on a large number of tests; Through the above technical solution, this example provides the dust invasion risk index of the clean equipment lifting door when it is opened for the ath time , can be obtained by formula Calculation shows that, obviously, when the indoor air supply speed when the clean equipment lifting door is opened for the ath time is greater than the preset air supply speed, and the indoor temperature and dust concentration when the clean equipment lifting door is opened for the ath time are higher, and the indoor humidity is lower, then the dust invasion risk index when the clean equipment lifting door is opened for the ath time is higher. On the contrary, when the difference between the indoor air supply speed and the preset air supply speed when the clean equipment lifting door is opened for the ath time is smaller, and the indoor temperature and dust concentration are lower, and the indoor humidity is higher when the clean equipment lifting door is opened for the ath time, then the dust invasion risk index when the clean equipment lifting door is opened for the ath time is higher. Through this calculation method, we can make an accurate analysis of the risk of dust intrusion based on diversified environmental data, thereby providing accurate data for subsequent decision-making on whether to adjust the lifting door of the clean equipment.

[0028] The analysis process in S4 further includes: The dust invasion risk index when the lifting door of the clean equipment is opened for the first time is calculated by and the preset dust damage risk index threshold Make a comparison; like , it is judged that when the lifting door of the clean equipment is opened for the ath time, the risk of dust invasion outside the clean equipment is high, and the speed of the lifting door needs to be reduced to avoid pollution transmission; like , it is judged that when the lifting door of the clean equipment is opened for the ath time, the risk of dust invasion outside the clean equipment is low, and there is no need to reduce the speed of the lifting door; Through the above technical solution, this example calculates the dust invasion risk index when the lifting door of the clean equipment is opened for the ath time. and the preset dust damage risk index threshold By comparing the data, we can make an accurate judgment on the risk of dust intrusion outside the clean equipment when the lift door of the clean equipment is opened for the ath time based on the diversified data fusion, and then provide accurate data for deciding whether to adjust the lift door of the clean equipment. On this basis, we can improve the reliability of the opening speed adjustment method of the fully enclosed lift door and the subsequent adjustment results. It should be noted that the above preset dust damage risk index threshold It can be set based on experience fitting.

[0029] The adjustment process in S5 includes: By measuring the dust invasion risk index when the lifting door of the clean equipment is opened for the ath time Assign a value, and the dust invasion risk index is generated between 1 and 2, and when the lifting door of the clean equipment is opened for the ath time The dust invasion risk value when the lift door is opened for the ath time increases with the increase of ; Among them, the dust invasion risk index when the clean equipment lifting door is opened for the ath time is The corresponding dust invasion risk value when the lift door is opened for the ath time is set to ; Through the above technical solution, this example provides the dust invasion risk index when the lifting door of the clean equipment is opened for the ath time. The process of assigning values; As an example, The value standards are shown in Table 1 below: Table 1 Value table of ): It should be noted that this data is obtained through the output of a deep learning model trained based on a large amount of historical data, and the dust invasion risk index increases with the opening of the clean equipment lifting door for the ath time. The increase in the dust risk value when the lift door is opened for the ath time will increase synchronously.

[0030] The adjustment process in S5 further includes: When the risk of dust damage to the outside of the clean equipment is judged to be high; By formula Calculate the opening speed of the clean equipment lift door after the adjustment when it is opened for the ath time ; in, Preset opening speed for lift gate; Through the above technical solution, this example provides the adjusted opening speed of the lift door of the clean equipment when it is opened for the ath time, which can be obtained by the formula Calculation is obtained. Through this calculation method, based on the collaborative fusion of multiple parameters and diversified data, accurate data support can be provided, thereby improving the reliability of the opening speed adjustment results of the fully enclosed lifting door; The adjustment process in S5 further includes: By combining the lifting door opening speed adjusted when the lifting door of the clean equipment is opened for the ath time Control the speed of the lift door and simultaneously activate the sealing patch pressurization function; Through the above technical solution, this example provides an additional adjustment process, first by combining the lifting door opening speed adjusted when the lifting door of the clean equipment is opened for the ath time The speed of the lifting door is regulated, and then the sealing patch pressurization function is activated simultaneously. Through this setting, the sealing performance can be improved and the intrusion of dust through the door gap can be reduced.

[0031] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for controlling a fully enclosed lifting door in a denture production line based on environmental perception, characterized in that: The method comprises: S1: The data acquisition module collects real-time dust concentration data and environmental data near the cleaning equipment after the denture production line starts working; S2: By combining the real-time collected dust concentration data, the real-time dust concentration dispersion coefficient near the cleaning equipment after the denture production line starts working is calculated; S3: By combining the real-time dust concentration dispersion coefficient near the cleaning equipment after the denture production line starts working, analyze whether there is an abnormal increase in dust concentration after the denture production line starts working; S4: By combining the environmental data near the clean equipment after the denture production line starts working and the dust concentration dispersion coefficient, the dust invasion risk of each time the fully enclosed lifting door of the clean equipment is opened is analyzed; S5: Dynamically adjust the opening speed of the fully enclosed lift door of the clean equipment by combining the dust invasion risk analysis results each time the fully enclosed lift door is opened.

2. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 1, characterized in that: The environmental data collected in S1 includes: The indoor temperature, indoor humidity and air supply speed of the clean room lift door at any time when it is opened.

3. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 1, characterized in that: The calculation process in S2 includes: By formula Calculate the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time ; Where a is any opening of the lifting door of the clean equipment after the denture production line starts working, i is a data collection at a fixed time interval, is the total number of data collection times when the lifting door of the clean equipment is opened for the ath time, is the dust concentration near the clean equipment during the i-th data collection, For all The average value of For all The maximum value in For all The minimum value in is the proportionality coefficient, which is selected and set based on the allowable error in empirical data.

4. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 3, characterized in that: The analysis process in S3 includes: By calculating the dust concentration dispersion coefficient when the lifting door of the clean equipment is opened for the ath time The preset dust concentration dispersion coefficient threshold Make a comparison; like , determine that there is an abnormal increase in dust concentration near the clean equipment from the time the denture production line starts working to the time the lift door of the clean equipment is opened for the ath time; like , it is judged that there is no abnormal increase in the dust concentration near the clean equipment from the start of the denture production line to the ath opening of the clean equipment lifting door.

5. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 4, characterized in that: The analysis process in S3 also includes: When it is judged that there is an abnormal increase in the dust concentration near the denture production line from the start of work to the a-th opening of the clean equipment lift door, the dust concentration dispersion coefficient when the clean equipment lift door is opened for the a-th time is calculated. Assign value, let ; When it is judged that there is no abnormal increase in the dust concentration near the denture production line from the start of work to the a-th opening of the clean equipment lifting door, the dust concentration dispersion coefficient when the clean equipment lifting door is opened for the a-th time is calculated. Assign value, let .

6. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 5, characterized in that: The analysis process in S4 includes: By formula Calculate the dust invasion risk index when the clean equipment lifting door is opened for the ath time ; in, is the indoor air supply speed when the lifting door of the clean equipment is opened for the ath time, is the preset air supply speed, for The standard value of For the first defined function, if , then let Otherwise, let , The indoor temperature when the lifting door of the clean room is opened for the ath time, is the preset indoor temperature. The indoor humidity when the lifting door of the clean equipment is opened for the ath time, is the preset indoor humidity, is the dust concentration near the lift door of the clean equipment when it is opened for the ath time, For the preset dust concentration, for The standard value of For the second defined function, if , then let Otherwise, let , The adjustment coefficient comparison table function can be obtained based on the empirical data. The impact of the numerical range on dust intrusion was obtained through a deep learning model based on a large number of tests.

7. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 6, characterized in that: The analysis process in S4 further includes: The dust invasion risk index when the lifting door of the clean equipment is opened for the first time is calculated by and the preset dust damage risk index threshold Make a comparison; like , it is judged that when the lifting door of the clean equipment is opened for the ath time, the risk of dust invasion outside the clean equipment is high, and the speed of the lifting door needs to be reduced to avoid pollution transmission; like , it is judged that when the lifting door of the clean equipment is opened for the ath time, the risk of dust invasion outside the clean equipment is low, and there is no need to reduce the speed of the lifting door.

8. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 7, characterized in that: The adjustment process in S5 includes: By measuring the dust invasion risk index when the lifting door of the clean equipment is opened for the ath time Assign a value, and the dust invasion risk index is generated between 1 and 2, and when the lifting door of the clean equipment is opened for the ath time The dust invasion risk value when the lift door is opened for the ath time increases with the increase of ; Among them, the dust invasion risk index when the clean equipment lifting door is opened for the ath time is The corresponding dust invasion risk value when the lift door is opened for the ath time is set to .

9. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 8, characterized in that: The adjustment process in S5 further includes: When the risk of dust damage to the outside of the clean equipment is judged to be high; By formula Calculate the opening speed of the clean equipment lift door after the adjustment when it is opened for the ath time ; in, The preset opening speed for the lift door.

10. The method for controlling a fully enclosed lifting door in a denture production line based on environmental perception according to claim 8, characterized in that: The adjustment process in S5 further includes: By combining the lifting door opening speed adjusted when the lifting door of the clean equipment is opened for the ath time The speed of the lifting door is regulated and the sealing patch pressurization function is activated simultaneously.