Coordinated control method of equipment lifting door and conveying system in denture production line

Abstract

The present application relates to the technical field of production line control, and specifically discloses a collaborative control method for an equipment lifting door and a conveying system in a denture production line, which comprises the following steps: analyzing the transformer load change in the denture production process by combining transformer load data, and predicting the transformer load state in the production process, since the transformer load condition will affect the operating voltage of the hydraulic cylinder, and the operating voltage data directly affects the moving speed of the lifting door, so by combining the data with the real-time operating state data of the lifting door in the denture production process, the mechanical performance of the lifting door in the subsequent production process can be predicted and analyzed, and by combining the prediction result to establish a prediction model for the advance adjustment of the conveying speed of the conveying belt, the control delay can be reduced, the poor synchronism can be avoided to cause the denture blank to slide or fall, and the optimization of the collaborative control method for the lifting door and the conveying belt can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of production line control, in particular to a collaborative control method for a device lifting door and a conveying system in a denture production line. BACKGROUND

[0002] In the denture production line, the lifting door design needs to seamlessly connect with the running track of the conveying belt, and around the three cores of precise synchronization, safety protection and data interaction, the collaborative control of the lifting door and the conveying belt is realized through hardware linkage, software algorithm optimization and intelligent monitoring technology to ensure the efficient and stable production of dentures.

[0003] In the denture production line, the conveying belt in the conveying system will convey the denture blank to the sintering furnace at a preset conveying speed, and the hydraulic cylinder will control the opening and closing of the lifting door at a preset speed. In this process, due to the extremely high temperature in the sintering furnace during the sintering process, the metal parts inside the lifting door may expand due to heat, affecting the positioning accuracy and synchronization. Therefore, a dynamic compensation algorithm is generally used to adjust the conveying speed of the conveying belt according to the real-time speed of the lifting door, so as to avoid the sliding or dumping of the denture blank due to poor synchronization.

[0004] In the prior art, in order to avoid the sliding or dumping of the denture blank due to poor synchronization, a dynamic compensation algorithm is used to adjust the conveying speed of the conveying belt according to the real-time speed of the lifting door. This control method relies on the feedback signal of the real-time speed of the lifting door. When the speed of the lifting door changes rapidly, the control system needs a certain amount of time to process these signals and adjust the speed of the conveying belt. In this processing process, the speed of the conveying belt may not be able to keep up with the change in the speed of the lifting door, resulting in poor synchronization and causing the denture blank to slide or dump. SUMMARY

[0005] The purpose of the present application is to provide a collaborative control method for a device lifting door and a conveying system in a denture production line, which solves the following technical problems:

[0006] How to optimize the collaborative control method of the lifting door and the conveying belt.

[0007] The purpose of the present application can be achieved by the following technical solutions:

[0008] A collaborative control method for a device lifting door and a conveying system in a denture production line, the method comprising:

[0009] S1: analyzing the change of the transformer load in the denture production process by combining the transformer load data;

[0010] S2: predicting the transformer load state in the subsequent production process by combining the real-time analysis result of the transformer load and the environmental data.

[0011] S3: Real-time acquisition of the running state data of the lifter in the denture production process through the data acquisition module;

[0012] S4: Prediction and analysis of the mechanical performance of the lifter in the subsequent production process by combining the real-time running state data of the lifter in the denture production process with the prediction result of the transformer load state;

[0013] S5: Cooperative control of the conveying speed of the conveying equipment by combining the prediction and analysis result of the mechanical performance of the lifter in the subsequent production process.

[0014] Further, the data collected by the data acquisition module in S3 includes:

[0015] The response time of the lifter at the start of the denture production process and the total duration of the lifter switch.

[0016] Further, the analysis process in S1 includes:

[0017] Establishing a transformer load rate change curve in the denture production process changing with time through the real-time collected transformer load rate data ;

[0018] And calculating the transformer load rate change amount of the lifter at the mth start in the denture production process through the formula ;

[0019] Wherein, m is an arbitrary lifter start time point in the denture production process, is the time point of the first start of the lifter in the denture production process, is the time point of the mth start of the lifter in the denture production process, is the total number of lifter starts at the mth start of the lifter in the denture production process, is the transformer load rate at the mth start of the lifter in the denture production process, is the average value of all .

[0020] Further, the prediction process in S2 includes:

[0021] Calculating the transformer load capacity loss coefficient of the lifter at the mth start in the denture production process through the formula ;

[0022] Wherein, is the altitude of the denture production plant, is the preset altitude, is the outdoor temperature when the lifting door is started for the mth time during the denture production process, is the preset outdoor temperature, for The standard value of .

[0023] Furthermore, the prediction process in S2 further includes:

[0024] By calculating the transformer load capacity loss coefficient when the lifting door is started for the mth time during the denture production process Assign a value to produce a transformer load capacity loss coefficient between 1 and 1.2, and when the lifting door is started for the mth time during the denture production process The transformer load capacity loss when the lift door is started for the mth time increases with the increase of ;

[0025] Among them, the transformer load capacity loss coefficient when the lifting door is started for the mth time during the denture production process is The corresponding transformer load capacity loss when the lift door is started for the mth time is defined as .

[0026] Furthermore, the prediction process in S2 further includes:

[0027] By formula Calculate the predicted value of the transformer's future load influence coefficient when the lifting door is started for the mth time during the denture production process .

[0028] Furthermore, the analysis process in S4 includes:

[0029] By formula Calculate the predicted value of the future operating state of the lift door when the lift door is started for the mth time during the denture production process ;

[0030] in, is the response time of the lifting door when it is started for the mth time during the denture production process, is the preset response time, for The standard value of is the opening and closing time of the lift door when it is started for the mth time during the denture production process, is the preset opening and closing time of the lift door. for The standard value of and is the weight coefficient, which is set according to empirical fitting. To define a function, if ,make Otherwise, let .

[0031] Furthermore, the analysis process in S4 further includes:

[0032] The future operating state of the lift door when the lift door is started for the mth time during the denture production process is used to influence the predicted value. The preset operating status affects the prediction value threshold Make a comparison;

[0033] like , it is judged that the operating state of the lifting door will be affected and cause abnormality during subsequent use, which means that the performance of the lifting door will be degraded during subsequent operation, and the conveying speed of the conveying equipment needs to be adjusted for coordinated control matching;

[0034] like , it is judged that the operating status of the lifting door will not be affected and cause abnormalities during subsequent use, which means that the performance of the lifting door will not be significantly reduced during subsequent operation, and there is no need to adjust the conveying speed of the conveying equipment.

[0035] Furthermore, the adjustment process in S5 includes:

[0036] By formula Calculate the conveying speed of the conveying equipment when the lifting door is started for the m+1th time during the denture production process ;

[0037] in, is the conveying speed of the conveying equipment when the lifting door is started for the mth time during the denture production process, is an adjustment coefficient comparison table function, the value range of the adjustment coefficient comparison table function is The values ​​of have a one-to-one correspondence.

[0038] Furthermore, the operating status data of the lifting door during the denture production process collected in S3 includes the instruction response time and the switch operation time of the lifting door at any start-up.

[0039] Beneficial effects of the present invention:

[0040] (1) The present invention predicts the load status of the transformer during the production process. Since the load condition of the transformer will affect the operating voltage of the hydraulic cylinder, and the operating voltage data directly affects the moving speed of the lifting door, by combining this data with the real-time operating status data of the lifting door during the denture production process, the mechanical performance of the lifting door in the subsequent production process can be predicted and analyzed. By combining the prediction results to establish a prediction model to adjust the conveying speed of the conveyor belt in advance, the control delay can be reduced, and the situation of sliding or tipping of the denture blank due to poor synchronization can be avoided, so as to achieve the optimization of the collaborative control method of the lifting door and the conveyor belt.

[0041] (2) The application obtains the transformer load capacity loss coefficient of the mth start of the lifting door in the denture production process through calculation , that is, based on the diversified data, the load capacity of the transformer is further analyzed, and based on the data, the transformer load rate change amount of the mth start of the lifting door in the denture production process is corrected , the rated capacity reference value is dynamically adjusted, the load rate is closer to the real carrying capacity, thereby the accuracy of the load rate change amount is improved, and misjudgment is avoided.

[0042] (3) The application compares the future running state influence prediction value of the mth start of the lifting door in the denture production process with the preset running state influence prediction value threshold , that is, according to the running state of the lifting door in the mth start of the lifting door in the denture production process, whether the performance of the lifting door changes in the subsequent running process is analyzed, and by combining the analysis result, whether the conveying speed of the conveying equipment needs to be adjusted is further decided, thereby the collaborative control method of the lifting door and the conveying belt is optimized, and the collaboration of the lifting door and the conveying belt is improved. BRIEF DESCRIPTION OF DRAWINGS

[0043] The application will be further described below with reference to the drawings.

[0044] Figure 1 is a flowchart of the collaborative control method of the lifting door and the conveying system of the equipment in the denture production line in the application. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0046] Please refer to Figure 1 , in one embodiment, the application provides a collaborative control method of a lifting door and a conveying system of equipment in a denture production line, which comprises:

[0047] S1: analyzing the transformer load change in the denture production process by combining the transformer load data;

[0048] S2: predicting the transformer load state in the subsequent production process by combining the real-time analysis result of the transformer load and the environmental data;

[0049] S3: Real-time collection of the running state data of the lifting door in the denture production process through the data collection module;

[0050] S4: Prediction and analysis of the mechanical performance of the lifting door in the subsequent production process by combining the real-time running state data of the lifting door in the denture production process with the prediction result of the transformer load state;

[0051] S5: Cooperative control of the conveying speed of the conveying equipment by combining the prediction and analysis result of the mechanical performance of the lifting door in the subsequent production process;

[0052] Through the above technical solution, the present example provides a cooperative control method of the lifting door and the conveying system in the denture production line. First, the transformer load change in the denture production process is analyzed by combining the transformer load data. Then, the transformer load state in the subsequent production process is predicted by combining the real-time analysis result of the transformer load and the environmental data. Subsequently, the running state data of the lifting door in the denture production process is collected in real time through the data collection module. The mechanical performance of the lifting door in the subsequent production process is predicted and analyzed by combining the real-time running state data of the lifting door in the denture production process with the prediction result of the transformer load state. Finally, the conveying speed of the conveying equipment is cooperatively controlled by combining the prediction and analysis result of the mechanical performance of the lifting door in the subsequent production process.

[0053] Through such a setting, the transformer load state in the production process is predicted. Since the load condition of the transformer affects the running voltage of the hydraulic cylinder, and the running voltage data directly affects the moving speed of the lifting door, the mechanical performance of the lifting door in the subsequent production process can be predicted and analyzed by combining this data with the real-time running state data of the lifting door in the denture production process. The prediction model is established by combining the prediction result to adjust the conveying speed of the conveying belt in advance, which can reduce the control delay and avoid the situation that the denture blank slides or falls due to poor synchronization, so as to optimize the cooperative control method of the lifting door and the conveying belt.

[0054] The data collected by the data collection module in S3 includes:

[0055] The response time of the lifting door when starting in the denture production process and the total time length of the lifting door switch;

[0056] Through the above technical solution, this embodiment provides data collected by the data acquisition module, including the response time when the lifting door is started and the total opening and closing time of the lifting door during the denture production process. By combining this data, an accurate analysis of the state of the lifting door during operation can be made. Then, based on this data combined with the transformer load state prediction results, a highly reliable prediction analysis of the mechanical performance of the lifting door in subsequent production processes can be made, thereby providing strong data support for the subsequent collaborative control of the conveying speed of the conveying equipment, so as to realize the optimization of the collaborative control method of the lifting door and the conveying system.

[0057] The analysis process in S1 includes:

[0058] By collecting transformer load rate data in real time, a transformer load rate change curve that changes over time during denture production is established. ;

[0059] And through the formula Calculate the change in transformer load rate when the lifting door is started for the mth time during the denture production process ;

[0060] Where m is the start time of any lift door during the denture production process, The time when the lifting door is first started during the denture production process. is the time point when the lifting door is started for the mth time during the denture production process, is the total number of lift door starts when the lift door starts for the mth time during the denture production process, is the transformer load rate when the lifting door is started for the mth time during the denture production process, For all The average value of

[0061] Through the above technical solution, this example provides the load rate change of the transformer when the lifting door is started for the mth time during the denture production process. , can be obtained by formula The data is obtained by calculation. Through this calculation method, the data can reflect the load rate change trend and change amount of the transformer equipment used for power supply after the start of denture production. The load condition of the transformer will affect the operating voltage of the hydraulic cylinder, and the operating voltage data directly affects the movement speed of the lifting door. Therefore, based on this data, it can provide diversified data support for the subsequent analysis of whether there is any abnormality in the operating status of the lifting door, thereby improving the accuracy of the subsequent analysis results.

[0062] The prediction process in S2 includes:

[0063] By formula Calculate the transformer load capacity loss coefficient when the lifting door is started for the mth time during the denture production process ;

[0064] wherein, is the altitude of the denture production plant, is the preset altitude, is the outdoor temperature at the mth start of the lifting door in the denture production process, is the preset outdoor temperature, is a standard value, which can be set according to the allowable error in empirical data;

[0065] Through the above technical solution, the present example provides a transformer load capacity loss coefficient at the mth start of the lifting door in the denture production process, which can be obtained by the formula Through this calculation method, the altitude of the denture production plant and the outdoor temperature data can be combined to analyze the transformer load capacity loss in the denture production process. Specifically, the higher the altitude of the denture production plant, the greater the influence on the heat dissipation of the transformer and the dielectric stability of the external insulation, which will lead to a decrease in the load capacity of the transformer. High environmental temperature will cause the transformer winding temperature to be too high, the current loss to increase, and the conversion efficiency of the transformer to be directly affected, thereby leading to a decrease in the load capacity of the transformer. Low environmental temperature will cause the transformer oil viscosity to increase and the flowability to deteriorate, thereby affecting the load capacity of the transformer.

[0066] Through this calculation method, diversified data can be combined to further analyze the load capacity of the transformer. Based on this data, the transformer load rate change at the mth start of the lifting door in the subsequent denture production process can be corrected, the rated capacity reference value can be dynamically adjusted, the load rate can be closer to the real carrying capacity, and the accuracy of the load rate change can be improved to avoid misjudgment risk.

[0067] The prediction process in S2 further includes:

[0068] The transformer load capacity loss coefficient at the mth start of the lifting door in the denture production process is assigned a value to produce a transformer load capacity loss amount at the mth start of the lifting door that is between 1-1.2 and increases with the increase of the transformer load capacity loss coefficient at the mth start of the lifting door in the denture production process;

[0069] wherein the transformer load capacity loss coefficient at the mth start of the lifting door in the denture production process is assigned a corresponding transformer load capacity loss amount at the mth start of the lifting door as ;

[0070] The present example provides a transformer load capacity loss coefficient of the mth start of the lifting door in the denture production process The process of assigning values;

[0071] As an example, the transformer load capacity loss amount of the mth start of the lifting door The value standard is as follows:

[0072]

[0073] It should be noted that, with the increase of the transformer load capacity loss coefficient of the mth start of the lifting door in the denture production process The transformer load capacity loss amount of the mth start of the lifting door will increase synchronously, and the data is obtained based on a deep learning model combined with a large amount of historical data.

[0074] The prediction process in S2 also includes:

[0075] The transformer future load impact coefficient prediction value of the mth start of the lifting door in the denture production process is calculated by the formula ;

[0076] Through the above technical solution, the present example provides a transformer future load impact coefficient prediction value of the mth start of the lifting door in the denture production process , which can be calculated by the formula Through this calculation method, the load capacity data can be introduced to dynamically adjust the rated capacity reference value, so that the load rate is closer to the true bearing capacity, thereby improving the accuracy of the load rate change amount and avoiding the risk of misjudgment.

[0077] The analysis process in S4 includes:

[0078] The lifting door future running state impact prediction value of the mth start of the lifting door in the denture production process is calculated by the formula ;

[0079] Wherein, is the response time of the mth start of the lifting door in the denture production process, is the preset response time, is The standard value of the above standard value can be selected and set according to the allowable error in the empirical data, is the lifting door opening and closing time of the mth start of the lifting door in the denture production process, is the preset lifting door opening and closing time, is a standard value, which can be set according to the allowable error in empirical data, with being a weight coefficient, which is set according to empirical fitting, being a definition function, if , let , otherwise, let ;

[0080] Through the above technical solution, the embodiment provides a future running state influence prediction value of the lifting door in the mth start of the lifting door in the denture production process , which can be obtained by the formula Obviously, when the response time of the lifting door in the mth start of the lifting door in the denture production process and the lifting door switch time of the lifting door in the mth start of the lifting door in the denture production process are greater, the future running state influence prediction value of the lifting door in the mth start of the lifting door in the denture production process is greater, and vice versa, when the response time of the lifting door in the mth start of the lifting door in the denture production process and the lifting door switch time of the lifting door in the mth start of the lifting door in the denture production process are smaller, the future running state influence prediction value of the lifting door in the mth start of the lifting door in the denture production process is smaller.

[0081] Specifically, when the response time of the lifting door in the mth start of the lifting door in the denture production process is longer, that is, the power source of the lifting door may be worn, lubricated insufficiently, or power attenuated, resulting in insufficient starting torque and speed drop, thereby prolonging the response and opening and closing time, and the lifting door switch time of the lifting door in the mth start of the lifting door in the denture production process is greater, which represents that the metal parts in the lifting door may be subject to thermal expansion. Through this calculation method, diversified data can be provided for subsequent judgment of the future running state of the lifting door, thereby improving the accuracy of the judgment result.

[0082] The analysis process in S4 further includes:

[0083] By comparing the future running state influence prediction value of the lifting door in the mth start of the lifting door in the denture production process with a preset running state influence prediction value threshold ;

[0084] If , it is judged that the running state of the lifting door will be affected to cause abnormality in subsequent use, that is, the performance of the lifting door in the subsequent running process is reduced, and the conveying speed of the conveying equipment needs to be adjusted for collaborative control matching.

[0085] If , it is judged that the running state of the lifting door will not be affected to cause an abnormality in subsequent use, that is, the performance of the lifting door does not decrease obviously in the subsequent running process, and the conveying speed of the conveying device does not need to be adjusted;

[0086] Through the technical solution, the future running state influence prediction value of the lifting door at the mth start in the denture production process is compared with the preset running state influence prediction value threshold , that is, whether the performance of the lifting door changes in the subsequent running process is analyzed according to the running state of the lifting door at the mth start in the denture production process, and whether the conveying speed of the conveying device needs to be adjusted is further decided by combining the analysis result, so that the collaborative control method of the lifting door and the conveying belt is optimized, and the collaboration of the lifting door and the conveying belt is improved.

[0087] The adjustment process in S5 includes:

[0088] The conveying speed of the conveying device at the m+1th start of the lifting door in the denture production process is obtained by calculation through the formula . ;

[0089] , wherein, is the conveying speed of the conveying device at the mth start of the lifting door in the denture production process, is an adjustment coefficient lookup table function, the value range of the adjustment coefficient lookup table function is one-to-one corresponding to the value range of the numerical value of , and it should be noted that the value of the adjustment coefficient lookup table function can be obtained based on the influence of the value range of the numerical value of on the conveying speed of the conveying device according to empirical data;

[0090] Through the technical solution, the conveying speed of the conveying device at the m+1th start of the lifting door in the denture production process is calculated through the formula , and the prediction analysis result based on the mechanical performance of the lifting door in the subsequent production process is realized, and the prediction model is established based on the prediction result to adjust the conveying speed of the conveying belt in advance, so that control delay is avoided, the synchronization is poor, the denture blank slides or falls, and the collaborative control method of the lifting door and the conveying belt is optimized.

[0091] The running state data of the lifting door in the denture production process collected in S3 includes the instruction response time and the switch running time of the lifting door at any start;

[0092] ​Through the technical solution, the operation state data of the lifting door in the denture production process collected in S3 is provided, including the instruction response time length and the switch operation time length of the lifting door at any time of starting, through such setting, whether the operation state of the lifting door at any time of starting is abnormal can be directly reflected, thereby providing diversified data for predicting the performance of the lifting door in the subsequent operation process, so as to ensure the accuracy of the prediction result, and further improve the reliability of the conveying equipment conveying speed adjustment result.

[0093] The above describes one embodiment of the present application in detail, but the content is only the preferred embodiment of the present application and cannot be considered as limiting the scope of the present application. Any equivalent changes and improvements made according to the scope of the present application should still belong to the scope of the present application.

Claims

1. A collaborative control method for the lifting door and conveying system of equipment in a denture production line, characterized in that: The method comprises: S1: By combining transformer load data, the changes in transformer load during denture production are analyzed; S2: By combining the real-time analysis results of transformer load with environmental data, the transformer load status in the subsequent production process is predicted; S3: The data acquisition module collects the operating status data of the lifting door in real time during the denture production process; S4: By combining the real-time operating status data of the lift door during denture production with the transformer load status prediction results, a predictive analysis of the mechanical performance of the lift door in the subsequent production process is conducted; S5: By combining the prediction analysis results of the lift door's mechanical performance in the subsequent production process, the conveying speed of the conveying equipment is collaboratively controlled; The analysis process in S1 includes: By collecting transformer load rate data in real time, a transformer load rate change curve that changes over time during denture production is established. ; And through the formula Calculate the change in transformer load rate when the lifting door is started for the mth time during the denture production process ; Where m is the start time of any lift door during the denture production process, The time when the lifting door is first started during the denture production process. is the time point when the lifting door is started for the mth time during the denture production process, is the total number of lift door starts when the lift door starts for the mth time during the denture production process, is the transformer load rate when the lifting door is started for the mth time during the denture production process, For all The average value of .

2. The coordinated control method of the lifting door and the conveying system of the denture production line according to claim 1 is characterized in that: The data collected by the data collection module in S3 includes: The response time of the lift door when it is activated and the total opening and closing time of the lift door during the denture production process.

3. The coordinated control method of the lifting door and the conveying system of the equipment in the denture production line according to claim 1 is characterized in that: The prediction process in S2 includes: By formula Calculate the transformer load capacity loss coefficient when the lifting door is started for the mth time during the denture production process ; in, is the altitude of the denture production plant, is the preset altitude, is the outdoor temperature when the lifting door is started for the mth time during the denture production process, is the preset outdoor temperature, for The standard value of .

4. The coordinated control method of the lifting door and the conveying system of the equipment in the denture production line according to claim 3 is characterized in that: The prediction process in S2 further includes: By calculating the transformer load capacity loss coefficient when the lifting door is started for the mth time during the denture production process Assign a value to produce a transformer load capacity loss coefficient between 1 and 1.2, and when the lifting door is started for the mth time during the denture production process The transformer load capacity loss when the lift door is started for the mth time increases with the increase of ; Among them, the transformer load capacity loss coefficient when the lifting door is started for the mth time during the denture production process is The corresponding transformer load capacity loss when the lift door is started for the mth time is defined as .

5. The coordinated control method of the lifting door and the conveying system of the equipment in the denture production line according to claim 4 is characterized in that: The prediction process in S2 further includes: By formula Calculate the predicted value of the transformer's future load influence coefficient when the lifting door is started for the mth time during the denture production process .

6. The coordinated control method of the lifting door and the conveying system of the denture production line according to claim 5 is characterized in that: The analysis process in S4 includes: By formula Calculate the predicted value of the future operating state of the lift door when the lift door is started for the mth time during the denture production process ; in, is the response time of the lifting door when it is started for the mth time during the denture production process, is the preset response time, for The standard value of is the opening and closing time of the lift door when it is started for the mth time during the denture production process, is the preset opening and closing time of the lift door. for The standard value of and is the weight coefficient, which is set according to empirical fitting. To define a function, if ,make Otherwise, let .

7. The coordinated control method of the lifting door and the conveying system of the denture production line according to claim 6 is characterized in that: The analysis process in S4 further includes: The future operating state of the lift door when the lift door is started for the mth time during the denture production process is used to influence the predicted value. The preset operating status affects the prediction value threshold Make a comparison; like , it is judged that the operating state of the lifting door will be affected and cause abnormality during subsequent use, which means that the performance of the lifting door will be degraded during subsequent operation, and the conveying speed of the conveying equipment needs to be adjusted for coordinated control matching; like , it is judged that the operating status of the lifting door will not be affected and cause abnormalities during subsequent use, which means that the performance of the lifting door will not be significantly reduced during subsequent operation, and there is no need to adjust the conveying speed of the conveying equipment.

8. The coordinated control method of the lifting door and the conveying system of the denture production line according to claim 7 is characterized in that: The adjustment process in S5 includes: By formula Calculate the conveying speed of the conveying equipment when the lifting door is started for the m+1th time during the denture production process ; in, is the conveying speed of the conveying equipment when the lifting door is started for the mth time during the denture production process, is an adjustment coefficient comparison table function, the value range of the adjustment coefficient comparison table function is The values ​​of have a one-to-one correspondence.

9. The coordinated control method of the lifting door and the conveying system of the denture production line according to claim 1 is characterized in that: The operating status data of the lifting door during the denture production process collected in S3 includes the instruction response time and the switch operation time of the lifting door at any start-up.

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