A production control method and related equipment

Abstract

The present application discloses a production control method and related equipment. The method includes: obtaining a first quantity of a to-be-processed material corresponding to a first process device, wherein the to-be-processed material is a target material that has entered the first process device and has not entered a second process device, and the second process device is a process device of a subsequent process of the first process device; based on the current process state of the second process device, predicting a second quantity of the target material that the second process device can process under a preset process time corresponding to the first process device, wherein the second process device can process a fixed quantity of the target material in each working state; and controlling the feeding action of the first process device according to the first quantity and the second quantity.

Description

Technical Field

[0001] This specification relates to the field of production control, and more specifically, the present invention relates to a production control method and related equipment. Background Art

[0002] In existing production processes, assembly lines consist of multiple pieces of equipment. After processing in one process, the material is transferred to the next process using a robot or other transfer device. A mismatch in the production capacity of the equipment in the previous and subsequent processes significantly impacts the overall production line's efficiency. Furthermore, when the time difference between the previous and subsequent processes is significant, the workshop environment can easily contaminate the previously processed material, reducing product quality. Summary of the Invention

[0003] The Summary of the Invention introduces a series of simplified concepts that will be further described in the Detailed Description of the Invention. The Summary of the Invention is not intended to limit the key features and essential features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0004] In order to provide a more intelligent production method, in a first aspect, the present invention proposes a production control method, the method comprising:

[0005] Obtaining a first quantity of unprocessed material corresponding to a first process equipment, wherein the unprocessed material is a target material that has entered the first process equipment and has not entered a second process equipment, and the second process equipment is a process equipment of a subsequent process of the first process equipment;

[0006] Based on the current process state of the second process equipment, predicting a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment, wherein the process state includes an operating state and a maintenance state;

[0007] The feeding action of the first process equipment is controlled according to the first quantity and the second quantity.

[0008] Optionally, the predicting, based on the current process state of the second process equipment, a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment, includes:

[0009] Determine the remaining process time before maintenance based on the rated process time of a single piece corresponding to the second process equipment, the remaining process capacity before maintenance, and the process time of the current piece, wherein the remaining process capacity before maintenance is the maximum amount of target material that the second process equipment can continue to process before entering a maintenance state;

[0010] Determine the remaining time after maintenance based on the rated single-piece process time corresponding to the second process equipment, the remaining process capacity before maintenance, the current piece process time, and the rated maintenance duration;

[0011] Based on the above-mentioned remaining process capacity before maintenance, the above-mentioned remaining process time before maintenance, the above-mentioned remaining time after maintenance and the above-mentioned preset process time, the second quantity of target material that the above-mentioned second process equipment can process under the preset process time corresponding to the first process equipment is predicted.

[0012] Optionally, the predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, of the second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes:

[0013] When the remaining process capacity before maintenance is zero, obtaining the maintenance time corresponding to the second process equipment;

[0014] The second quantity is calculated according to the preset process time, the rated maintenance duration, the maintained time and the rated single-piece process time.

[0015] Optionally, the predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, of the second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes:

[0016] When the remaining process capacity before maintenance is not zero and the remaining process time before maintenance is greater than the preset process time, the second quantity is determined according to the preset process time, the single-piece process rated time and the current piece process time.

[0017] Optionally, the predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, of the second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes:

[0018] When the remaining process capacity before maintenance is not zero, the remaining process time before maintenance is less than the preset process time, and the remaining time after maintenance is greater than the preset process time, the second quantity of the remaining process capacity before maintenance is determined.

[0019] Optionally, the predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, of the second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes:

[0020] When the remaining process capacity before the above-mentioned maintenance is not zero, the remaining process time before the above-mentioned maintenance is less than the above-mentioned preset process time and the remaining time after the above-mentioned maintenance is less than the above-mentioned preset process time, the above-mentioned second quantity is determined according to the above-mentioned preset process time, the above-mentioned single-piece process rated time, the above-mentioned current piece process time and the above-mentioned maintenance rated duration.

[0021] Optionally, the predicting, based on the current process state of the second process equipment, a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment, includes:

[0022] In the case where the second process equipment includes at least two process chambers, obtaining the current process status of each chamber respectively;

[0023] determining, according to the process state of each process chamber and the corresponding preset process duration, a third quantity of the target material that can be processed by each process chamber under the preset process duration corresponding to the first process equipment;

[0024] The sum of all the third quantities is taken as the second quantity corresponding to the second process equipment.

[0025] Optionally, the above method further includes:

[0026] When there are at least two second process equipments, predicting, based on the current process status of each second process equipment, a fourth quantity of the target material that can be processed by each second process equipment within the preset process time corresponding to the first process equipment;

[0027] The feeding action of the first process equipment is controlled according to the sum of all the fourth quantities and the first quantity.

[0028] Optionally, controlling the feeding action of the first process equipment according to the first quantity and the second quantity includes:

[0029] When the first quantity is less than or equal to the second quantity, controlling the feeding of materials into the first process equipment;

[0030] or,

[0031] When the first quantity is greater than the second quantity, feeding of materials into the first process equipment is suspended.

[0032] In a second aspect, an embodiment of the present application further provides a production control device, comprising:

[0033] an acquiring unit, configured to acquire a first quantity of a material to be processed corresponding to a first process equipment, wherein the material to be processed is a target material that has entered the first process equipment and has not entered a second process equipment, and the second process equipment is a process equipment of a next process step of the first process equipment;

[0034] a prediction unit, configured to predict, based on a current process state of the second process equipment, a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment, wherein the process state includes an operating state and a maintenance state, and the second process equipment can process a fixed quantity of the target material in each operating state;

[0035] A control unit is used to control the feeding action of the first process equipment according to the first quantity and the second quantity.

[0036] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the production control method of any one of the first aspects described above when executing the computer program stored in the memory.

[0037] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the production control method of any one of the above items in the first aspect is implemented.

[0038] In summary, a production control method proposed in an embodiment of the present application includes: obtaining a first quantity of materials to be processed corresponding to a first process equipment, wherein the materials to be processed are target materials that have entered the first process equipment and have not entered the second process equipment, and the second process equipment is a process equipment of the next process of the first process equipment; based on the current process state of the second process equipment, predicting the second quantity of target materials that the second process equipment can process under the preset process time corresponding to the first process equipment, wherein the process state includes a working state and a maintenance state, and the second process equipment can process a fixed quantity of target materials in each working state; controlling the feeding action of the first process equipment according to the first quantity and the second quantity. The production control method provided in an embodiment of the present application obtains the first quantity of materials to be processed corresponding to the first process equipment, and predicts the second quantity of target materials that the second process equipment can process under the preset process time corresponding to the first equipment according to the process state of the second equipment, and controls the feeding action of the first process equipment according to the second quantity and the first quantity. When the production rhythm of the second process equipment fluctuates due to the switching of the working state of the second process equipment, the method can adjust the feeding rhythm of the preceding first process equipment according to the production fluctuation of the subsequent second process equipment, thereby avoiding product blockage caused by the target material before the second process equipment after exiting the first process equipment, avoiding pollution caused by the target material, and meeting the maximum production capacity of the second process equipment in the production line, thereby achieving the purpose of intelligently controlling production, optimizing production rhythm, and improving product quality.

[0039] The production control method of the present invention, and other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will be understood by those skilled in the art through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present description. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0041] Figure 1 A flowchart of a production control method provided in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of an operating state provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of a process system structure provided in an embodiment of the present application;

[0044] Figure 4A schematic diagram of another process system structure provided in an embodiment of the present application;

[0045] Figure 5 A schematic diagram of another process system structure provided in an embodiment of the present application;

[0046] Figure 6 A schematic diagram of a production control effect provided in an embodiment of the present application;

[0047] Figure 7 A production control device provided in an embodiment of the present application;

[0048] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

[0049] Figure 9 A schematic diagram of a storage medium structure provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or that are inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the embodiments described are only part of the embodiments of the present application, not all of the embodiments.

[0051] See also Figure 1 , is a flow chart of a production control method according to an embodiment of the present application, the method comprising:

[0052] S110: Obtain a first quantity of unprocessed material corresponding to a first process equipment, wherein the unprocessed material is target material that has entered the first process equipment and has not entered a second process equipment, and the second process equipment is a process equipment of a subsequent process of the first process equipment;

[0053] For example, Figure 3As shown, the second process equipment is the process equipment for the next process of the first process equipment. For example, the first process equipment can be a heating equipment, which heats the target material to a preset temperature and then quickly transfers it to the second process equipment for the process corresponding to the next process; the first process equipment can also be a cleaning equipment, which, after being cleaned by the first process equipment, quickly places the cleaned target material into the second process equipment for the second process. It is understandable that if the target material is not quickly placed into the second process equipment after passing through the first process equipment, it will not only cause the target material to accumulate in front of the second process equipment, but also easily cause contamination of the target material if the target material cannot enter the second process equipment in time. For example, if the first process equipment is a heating equipment, if it cannot enter the second process equipment in time, the target material may not meet the temperature requirements when it arrives at the second process equipment; for another example, if the first process equipment is a cleaning equipment, if it cannot enter the second process equipment in time, the target material may not meet the cleanliness requirements when it arrives at the second process equipment or the surface of the target material may be corroded by the environment, thereby affecting product quality.

[0054] In order to avoid accumulation of target materials and / or contamination of target materials, the first quantity of materials to be processed corresponding to the first process equipment is first obtained. The materials to be processed are target materials that have entered the first process equipment and have not entered the second process equipment, including target materials being processed in the first process equipment, and also target materials that have been processed by the first process equipment but have not yet entered the second process equipment, that is, target materials exposed to the workshop environment.

[0055] S120: Predicting, based on a current process state of the second process equipment, a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment, wherein the process state includes an operating state and a maintenance state;

[0056] Exemplarily, the second process equipment includes a working state and a maintenance state. The working state is the state corresponding to when the second process is being executed, and the maintenance state is the state corresponding to when the second process cannot be executed. The maintenance state may include self-cleaning of the equipment, replacement of related wearing parts of the equipment, etc. The second process equipment needs to enter the maintenance state after processing a fixed number of target materials. For example, self-cleaning is required after processing 5 pieces of target materials. The current process state specifically also includes the specific time in the working state and the maintenance state. The preset process time corresponding to the first process equipment refers to the time from entering the first process equipment to completing the first process and moving out of the first process equipment, such as: heating treatment time or cleaning treatment time, etc. According to the current process state of the second process equipment, the second quantity of target materials that can be processed under the corresponding process time can be predicted.

[0057] S130. Control the feeding action of the first process equipment according to the first quantity and the second quantity.

[0058] Exemplarily, the first process equipment is controlled to start or stop feeding according to the first quantity of the material to be processed corresponding to the first process equipment and the second quantity of the target material that the second process equipment can process within the preset process time, so that the first process equipment can provide sufficient target material for the second process equipment, and ensure that there is not too much target material between the first process equipment and the second process equipment, causing material accumulation and material pollution.

[0059] In summary, the production control method provided in the embodiment of the present application obtains the first quantity of the material to be processed corresponding to the first process equipment, and predicts the second quantity of the target material that the second process equipment can process within the preset process time corresponding to the first equipment according to the process state of the second equipment, and controls the feeding action of the first process equipment by the second quantity and the first quantity. In the case where the production rhythm of the second process equipment fluctuates due to the switching of the working state of the second process equipment, this method can adjust the feeding rhythm of the preceding first process equipment according to the production fluctuation of the subsequent second process equipment, thereby avoiding the target material from exiting the first process equipment and causing product blockage in front of the second process equipment, avoiding contamination caused by the target material, and meeting the maximum production capacity of the second process equipment in the production line, thereby achieving the purpose of intelligently controlling production, optimizing production rhythm, and improving product quality.

[0060] In some examples, predicting, based on the current process state of the second process equipment, the second quantity of the target material that can be processed by the second process equipment within the preset process time corresponding to the first process equipment includes:

[0061] Determine the remaining process time before maintenance based on the rated process time of a single piece corresponding to the second process equipment, the remaining process capacity before maintenance, and the process time of the current piece, wherein the remaining process capacity before maintenance is the maximum amount of target material that the second process equipment can continue to process before entering a maintenance state;

[0062] Determine the remaining time after maintenance based on the rated single-piece process time corresponding to the second process equipment, the remaining process capacity before maintenance, the current piece process time, and the rated maintenance duration;

[0063] Based on the above-mentioned remaining process capacity before maintenance, the above-mentioned remaining process time before maintenance, the above-mentioned remaining time after maintenance and the above-mentioned preset process time, the second quantity of target material that the above-mentioned second process equipment can process under the preset process time corresponding to the first process equipment is predicted.

[0064] Exemplarily, the second process equipment needs to enter the maintenance state after performing a fixed number of process treatments. The single-piece rated time refers to the rated time required for the second process equipment to process a target material. For example, the single-piece rated time for processing a target material can be 4 minutes. The remaining working capacity before maintenance is the maximum number of target materials that the second process equipment can continue to process before entering the maintenance state. The above-mentioned fixed number is 5 pieces, and the process treatment of 2 target materials has been completed. At this time, the remaining working capacity before maintenance is 3. The current piece process time refers to the time during which a target material may be being processed at the current moment but the corresponding process has not been completed. For example, it can be 3 minutes. The rated maintenance duration refers to the time required to complete a maintenance state, for example, it can be 10 minutes. The preset process time refers to the time required for the first process equipment to perform the first process treatment on the target material, for example, it can be 12 minutes. It should be noted that the above specific time and quantity are only for illustration, and the specific values ​​are not limited.

[0065] The remaining process time t1 before maintenance can be calculated by formula (1):

[0066] t1=CycRemain*T(Tacktime)-ProcessTime (1)

[0067] The remaining time t2 for maintenance completion can be calculated using formula (2):

[0068] t2=CycRemain*T(Tacktime)+T(selfClean)-ProcessTime (2)

[0069] In the above two formulas, CycRemain is the remaining working capacity before maintenance, T (Tacktime) is the rated processing time of a single piece, and ProcessTime is the processing time of the current piece.

[0070] Based on the above-mentioned remaining process capacity CycRemain before maintenance, the above-mentioned remaining process time t1 before maintenance, the above-mentioned remaining time after maintenance t2 and the above-mentioned preset process time T(Transfer), the second quantity of target material that the above-mentioned second process equipment can process under the preset process time corresponding to the first process equipment is predicted.

[0071] In summary, the production control method provided in the embodiment of the present application predicts the second quantity of the target material that can be processed by the second process equipment within the preset process time corresponding to the first process equipment through the remaining process capacity before maintenance, the above-mentioned remaining process time before maintenance, the above-mentioned remaining time after maintenance and the above-mentioned preset process time. It can make an accurate prediction of the second quantity of the target material that can be processed by the second process equipment within the preset process time corresponding to the first process equipment under different working conditions, thereby more accurately controlling the feeding action of the first process equipment.

[0072] For some examples, see Figure 2 , which are the four working conditions of working condition A, working condition B, working condition C and working condition D corresponding to the second process equipment.

[0073] The predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, of the second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes:

[0074] Working condition A: When the remaining process capacity before the maintenance is equal to zero, obtain the maintenance time corresponding to the second process equipment;

[0075] The second quantity is calculated according to the preset process time, the rated maintenance duration, the maintained time and the rated single-piece process time.

[0076] For example, working condition A corresponds to the working condition where the remaining process capacity before maintenance is zero, that is, CycRemain=0, and the second process equipment enters the maintenance state. At this time, it is also necessary to obtain how long the second equipment has been maintained, that is, it is necessary to obtain the maintenance time CleanTime to determine when the maintenance can be completed. After the calculation is completed and the amount of target material that can be processed within the preset process time is the second quantity N corresponding to this working condition 2A , the second quantity N under working condition A can be calculated by formula (3) 2A :

[0077] N 2A =(T(Transfer)-(T(selfClean)-CleanTime)) / T(Tacktime) (3)

[0078] In the above formula, T(Transfer) is the preset process time corresponding to the first process equipment, T(selfClean) is the rated maintenance duration, T(selfClean) is the rated maintenance duration, T(Tacktime) is the rated single-piece process time, and CleanTime is the maintained time.

[0079] Working condition B:

[0080] When the remaining process capacity before maintenance is not zero and the remaining process time before maintenance is greater than the preset process time, the second quantity is determined according to the preset process time, the single-piece process rated time and the current piece process time.

[0081] For example, working condition B corresponds to the working condition where the remaining process capacity before maintenance is not zero and the remaining process time before maintenance is greater than the preset process time, that is, CycRemain≠0, t1>T(Transfer). At this time, the second process equipment will continue to work within the preset process time and will not enter the maintenance state. The second quantity N under working condition B can be calculated by formula (4): 2B :

[0082] N 2B =(T(Transfer)-(T(Tacktime)-ProcessTime)) / T(Tacktime) (4)

[0083] In the above formula, T (Transfer) is the preset process time corresponding to the first process equipment, T (Tacktime) is the rated process time of a single piece, and ProcessTime is the process time of the current piece.

[0084] Working condition C:

[0085] When the remaining process capacity before maintenance is not zero, the remaining process time before maintenance is less than the preset process time, and the remaining time after maintenance is greater than the preset process time, the second quantity of the remaining process capacity before maintenance is determined.

[0086] For example, the working condition C corresponds to the working condition where the remaining process capacity before maintenance is not zero, the remaining process time before maintenance is less than the preset process time, and the remaining time after maintenance is greater than the preset process time, that is, CycRemain≠0, t1<T(Transfer),t2> T(Transfer), under this working condition, the second process equipment enters the maintenance state, but will enter the maintenance state within the preset process time T(Transfer). The remaining working capacity before maintenance CycRemain is the second quantity N corresponding to working condition C. 2C .

[0087] Working condition D:

[0088] When the remaining process capacity before the above-mentioned maintenance is not zero, the remaining process duration before the above-mentioned maintenance is less than the above-mentioned preset process duration, and the remaining duration after the above-mentioned maintenance is less than the above-mentioned preset process duration, determine the above-mentioned second quantity according to the above-mentioned preset process duration, the above-mentioned single-piece process rated duration, the above-mentioned current-piece processed duration, and the above-mentioned maintenance rated duration.

[0089] Exemplarily, operating condition D corresponds to the condition where the remaining process capacity before maintenance is not zero, the remaining process duration before the above-mentioned maintenance is less than the above-mentioned preset process duration, and the remaining duration after the above-mentioned maintenance is less than the above-mentioned preset process duration, that is, CycRemain≠0, t1<T(Transfer), t2<T(Transfer). In this operating condition, the second process equipment is not currently in the maintenance state, but will undergo a complete maintenance process within T(Transfer) time. The second quantity N under operating condition D can be calculated by formula (5). 2D :

[0090] N 2D =(T(Transfer)-(T(Tacktime)-ProcessTime)-T(selfClean)) / T(Tacktime)(5)

[0091] In the above formula, T(Transfer) is the preset process duration corresponding to the first process equipment, T(Tacktime) is the single-piece process rated duration, T(selfClean) is the maintenance rated duration, ProcessTime is the current-piece processed duration, and T(selfClean) is the maintenance rated duration.

[0092] In summary, the production control method provided by the embodiments of the present application divides the second process equipment into four operating conditions based on the remaining process capacity before maintenance, the remaining process duration before the above-mentioned maintenance, the remaining duration after the above-mentioned maintenance, and the above-mentioned preset process duration, and gives a specific method for predicting the second quantity under each operating condition, which can accurately control the predicted production capacity of the second equipment in various situations, so as to make a more precise control of the input action of the first process equipment.

[0093] In some examples, predicting the second quantity of the target material that the second process equipment can process under the preset process duration corresponding to the first process equipment based on the current process state of the second process equipment includes:

[0094] When the second process equipment includes at least two process chambers, respectively obtain the current process state of each chamber;

[0095] determining, according to the process state of each process chamber and the corresponding preset process duration, a third quantity of the target material that can be processed by each process chamber under the preset process duration corresponding to the first process equipment;

[0096] The sum of all the third quantities is taken as the second quantity corresponding to the second process equipment. Figure 4 As shown, the second process equipment may include multiple process chambers, such as five process chambers including process chambers 1 to 5. Each process chamber may correspond to a process state corresponding to any one of the working conditions A, B, C, and D described in the above embodiment. The third number N corresponding to each process chamber is determined according to the current process state of each process chamber and the above preset process time. 31 、N 32 、N 33、 N 34 and N 35 , and N 31 +N 32 +N 33 +N 34 +N 35 As the second number N2 corresponding to the process equipment.

[0097] In summary, the method provided in the embodiment of the present application, when the second process equipment is a multi-chamber process equipment, obtains the current working status of each chamber respectively, and determines the third quantity corresponding to each process chamber, that is, the expected production capacity within the preset process time, and takes all the third quantities as the second quantity corresponding to the second process equipment, and controls the feeding action of the first equipment according to the relationship between the second quantity and the first quantity, and proposes an intelligent control production solution for multi-chamber process equipment.

[0098] In some examples, the method further includes:

[0099] When there are at least two second process equipments, predicting, based on the current process status of each second process equipment, a fourth quantity of the target material that can be processed by each second process equipment within the preset process time corresponding to the first process equipment;

[0100] The feeding action of the first process equipment is controlled according to the sum of all the fourth quantities and the first quantity.

[0101] For example, Figure 5As shown, one first process equipment can correspond to multiple second process equipment. When there are at least two second process equipment, the fourth quantity of target material that each process equipment can process under the preset process time corresponding to the first process equipment is predicted according to the process status of each process equipment, and the feeding action of the above-mentioned first process equipment is controlled according to the sum of the first quantity and all fourth quantities.

[0102] In summary, the embodiment of the present application proposes a more intelligent production method for the situation where one first process equipment corresponds to multiple second process equipment.

[0103] In some examples, controlling the feeding action of the first process equipment according to the first quantity and the second quantity includes:

[0104] When the first quantity is less than or equal to the second quantity, controlling the feeding of materials into the first process equipment;

[0105] or,

[0106] When the first quantity is greater than the second quantity, feeding of materials into the first process equipment is suspended.

[0107] For example, when the first quantity is less than or equal to the second quantity, the target material processed by the first process equipment is insufficient for the second process equipment to continuously operate, which may easily cause the second process equipment to be idle. In this case, it is necessary to control the feeding of materials to the first process equipment to provide sufficient target material.

[0108] If the first quantity is greater than the second quantity, the target material may cause product blockage between the second process equipment and the first process equipment. At this time, the control stops feeding the first process equipment to avoid aggravation of the blockage and relieve the working pressure of the second process equipment.

[0109] In summary, the method provided in the embodiment of the present application can effectively control the feeding equipment of the first process equipment through the first quantity and the second quantity, ensure that the second process equipment has sufficient target materials for production to avoid idleness, and at the same time avoid product blockage between the first process equipment and the second process equipment, providing a more intelligent production control method.

[0110] In some examples, the process state also includes a fault state;

[0111] The above method further includes:

[0112] When the process state is a fault state and the first quantity is greater than the second quantity, the target material exiting the first process equipment is stored in a temporary storage area.

[0113] For example, the second process equipment may also experience a local failure, resulting in a decrease in production capacity. At this time, the second process equipment cannot immediately process the target material processed by the first process equipment. At this time, the target material can be stored in a temporary storage area to avoid disorderly accumulation of the target material.

[0114] In summary, in the event that the second process equipment fails, in order to avoid disorderly accumulation of target materials, the target materials that have been processed by the first process equipment are stored in a temporary storage area, providing a backup solution for process equipment failure.

[0115] In some examples, CVD chamber process equipment needs to perform self-cleaning after a certain product is processed, so the production rhythm of the equipment will fluctuate. When it is self-cleaning, the production rhythm will be slower. Before the CVD process is carried out, a period of side cleaning equipment is required to carry out the process. However, the production rhythm of the cleaning machine is constant, which will cause production blockage in the cleaning machine when the chamber equipment is self-cleaning. Production blockage will cause the cleaning machine process to cause production capacity loss and yield loss. When Glass is blocked in the cleaning machine, it will enter the buffer of the cleaning machine. At this time, the cleaning machine needs to complete the production of all Glass in the process before it can continue to put Glass into production, resulting in a long process interruption and line clearing time, which is a great waste of production time; Glass is not put into CVD in time after being produced in the cleaning machine. Long-term exposure to acidic environment can easily lead to other production abnormalities and cause product defects (often manifested as electrical abnormalities). For example Figure 4In the process system shown, the second process equipment can be a CVD (Chemical Vapor Deposition) chamber-type process equipment, the first process equipment is a cleaning machine for its pre-treatment, and the target material is Glass that needs to be processed. The first transfer device (which can be a robot) can be used to put the Glass in the temporary storage area into the cleaning machine, and the Glass processed by the cleaning machine can be put into the target material into the CVD chamber-type process equipment. After being cleaned by the cleaning machine, the Glass enters the CVD chamber-type process equipment for PECVD (Plasma Enhanced Chemical Vapor Deposition) process. After the Glass is processed by the cleaning machine, the cleaned Glass needs to be quickly sent to the CVD chamber-type process equipment to avoid contamination of the Glass by particles. Each chamber of the CVD equipment needs to be self-cleaned after a fixed number of processes, so the CVD equipment becomes a bottleneck equipment, and the production capacity of the cleaning machine fully meets the production capacity requirements of the CVD equipment. It takes a long time for the glass fed into the cleaning machine to flow into the CVD equipment. When the glass is output from the cleaning machine, the CVD equipment may have already completed several processes. In other words, all the glass fed into the cleaning machine needs to be calculated and predicted in order to coordinate the production rhythm between the cleaning machine and the CVD equipment.

[0116] To automatically balance production tact times, it's necessary to identify the correlation between the cleaning machine and the CVD equipment. If we consider the glass flow as water flow, then the chambers in the CVD equipment are like channels through which this water flows. Regardless of the size of each channel, the total amount of water flow per unit time remains the same. For glass, this total amount represents the expected production capacity of the CVD equipment within the preset process time. Linking the production capacities of the cleaning and CVD equipment is key to enabling data-driven production control. The initial goal is to ensure that glass input from the cleaning machine can enter a specific chamber of the CVD equipment upon output, meaning that a chamber can precisely accommodate the cleaned glass. This allows us to determine the time period for the estimated production capacity correlation: T (Transfer) is the time required from glass input to output and entry into the CVD equipment chamber. By further refining this capacity correlation to glass, we can achieve production tact control by controlling the cleaning machine's input tact time. The sum of the number of glass sheets already in the production line but not yet in the CVD equipment chamber (the first number) is used as the capacity correlation point. The sum of the number of glass sheets the CVD equipment can produce within the next T (Transfer) time period, starting from the current time point, is the sum of the number of glass sheets the CVD equipment can produce (the second number) at its capacity. This means that when adding glass, N1 (the first number) must be ≤ N2 (the second number) (the first number).

[0117] In some examples, the maximum number of glasses that can be continuously processed by CVD is 5, the rated process time T (Tacktime) of a single piece is 4 minutes, the rated maintenance duration T (selfClean) is 10 minutes, the maintenance state is the self-cleaning state of the CVD equipment, and the preset process time T (Transfer) is 12 minutes. That is, the shortest time a glass experiences from entering the cleaning state to entering the CVD equipment is 12 minutes. A certain state of the CVD equipment can be as shown in Table 1:

[0118]

[0119] Table 1

[0120] By the method described in the above embodiment, it can be calculated that chamber 1 corresponds to N 21 =2, chamber 3 corresponds to N 23 =2; chamber 4 corresponds to N 24 =0; chamber 5 corresponds to N 25= 2; Chamber 2 is in PM (Preventive Maitenance) / BM (Broken Machine) and is not included in the calculation. In this case, N2 = 2 + 2 + 0 + 2 = 6. To ensure continuous CVD processing and prevent product blockage, the relationship between N1 and 6 must be determined. If N1 is less than 6, glass is fed into the cleaning machine; if N1 is greater than or equal to 6, glass feeding into the cleaning machine is stopped.

[0121] After using this method, glass no longer enters the cleaning machine buffer (cache), and the phenomenon of the main process CVD equipment being idle due to cleaning line is no longer caused. The production cycle time (TT) is reduced from 110s to 92s, an overall improvement of 18s. By analyzing the time difference between glass being put into the cleaning machine and the start of the CVD process, we can analyze the difference. Figure 6 The vertical axis represents the production cycle time (s), and the horizontal axis corresponds to five sets of statistical production cycle data: minimum, maximum, standard deviation, mean, and median. The algorithm has been found to be very effective in balancing production. After cleaning, the glass can be promptly processed for the main process. The abnormal maximum value is due to equipment downtime during certain periods. Without production balancing control, the glass may wait a long time after cleaning before the main process can be carried out. Figure 6 The data in the example are obtained from two systems with the same process type. We applied this method to one of the systems, but not to the other. The data show that the production control method provided in this embodiment can fully utilize the production capacity of CVD equipment to avoid IDLE, and can effectively prevent the generation of buffer in the cleaning machine, thereby optimizing production efficiency and ensuring production quality.

[0122] See also Figure 7 The present invention further proposes a production control device, comprising:

[0123] an acquiring unit 21 for acquiring a first quantity of a material to be processed corresponding to a first process equipment, wherein the material to be processed is a target material that has entered the first process equipment and has not entered a second process equipment, and the second process equipment is a process equipment of a next process step of the first process equipment;

[0124] a prediction unit 22 configured to predict, based on a current process state of the second process equipment, a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment, wherein the process state includes an operating state and a maintenance state, and the second process equipment can process a fixed quantity of the target material in each operating state;

[0125] The control unit 23 is used to control the feeding action of the first process equipment according to the first quantity and the second quantity.

[0126] like Figure 8 As shown, an embodiment of the present application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any of the above-mentioned production control methods are implemented.

[0127] like Figure 9 As shown, the embodiment of the present application further provides a computer-readable storage medium 400 on which a computer program 311 is stored. When the computer program 311 is executed by a processor, the above-mentioned production control method is implemented.

[0128] Since the electronic device introduced in this embodiment is a device used to implement a production control device in the embodiment of this application, based on the method introduced in the embodiment of this application, technical personnel in this field can understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of this application will not be introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of this application falls within the scope of protection to be protected by this application.

[0129] In the specific implementation process, the computer program 311 can be implemented when executed by the processor Figure 1 Any implementation manner in the corresponding embodiments.

[0130] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0131] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0132] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0133] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0134] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0135] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of the production control method in the corresponding embodiment.

[0136] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)).

[0137] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0138] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0139] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0140] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0141] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0142] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A production control method, characterized in that: include: Obtaining a first quantity of a material to be processed corresponding to a first process equipment, wherein the material to be processed is a target material that has entered the first process equipment and has not entered a second process equipment, and the second process equipment is a process equipment of a next process step of the first process equipment; Based on a current process state of the second process equipment, predicting a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment, wherein the process state includes a working state and a maintenance state; controlling the feeding action of the first process equipment according to the first quantity and the second quantity; The predicting, based on the current process state of the second process equipment, a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment includes: Determining the remaining process time before maintenance based on the rated process time of a single piece of the second process equipment, the remaining process capacity before maintenance, and the process time of the current piece, wherein the remaining process capacity before maintenance is the maximum amount of target material that the second process equipment can continue to process before entering a maintenance state; Determine the remaining time after maintenance based on the rated single-piece process time corresponding to the second process equipment, the remaining process capacity before maintenance, the current piece process time, and the rated maintenance duration; Based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance and the preset process time, the second quantity of target material that the second process equipment can process under the preset process time corresponding to the first process equipment is predicted.

2. The method according to claim 1, wherein The predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, a second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes: When the remaining process capacity before maintenance is equal to zero, obtaining the maintenance time corresponding to the second process equipment; The second quantity is calculated according to the preset process time, the rated maintenance duration, the maintained time and the rated single-piece process time.

3. The method according to claim 1, wherein The predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, a second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes: When the remaining process capacity before maintenance is not zero and the remaining process time before maintenance is greater than the preset process time, the second quantity is determined according to the preset process time, the single-piece process rated time and the current piece process time.

4. The method according to claim 1, wherein The predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, a second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes: When the remaining process capability before maintenance is not zero, the remaining process time before maintenance is less than the preset process time, and the remaining time after maintenance is greater than the preset process time, the second quantity of the remaining process capability before maintenance is determined.

5. The method according to claim 1, wherein The predicting, based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time, a second quantity of the target material that can be processed by the second process equipment under the preset process time corresponding to the first process equipment includes: When the remaining process capacity before maintenance is not zero, the remaining process time before maintenance is less than the preset process time, and the remaining time after maintenance is less than the preset process time, the second quantity is determined according to the preset process time, the rated process time of a single piece, the process time of the current piece, and the rated duration of maintenance.

6. The method of claim 1 , wherein the predicting, based on the current process state of the second process equipment, the second quantity of the target material that can be processed by the second process equipment within the preset process time corresponding to the first process equipment comprises: In a case where the second process equipment includes at least two process chambers, respectively acquiring a current process status of each chamber; determining, according to a process state of each process chamber and a corresponding preset process duration, a third quantity of the target material that can be processed by each process chamber under the preset process duration corresponding to the first process equipment; The sum of all the third quantities is taken as the second quantity corresponding to the second process equipment.

7. The method according to claim 1, wherein Also includes: When there are at least two second process equipments, predicting, based on a current process state of each second process equipment, a fourth quantity of the target material that can be processed by each second process equipment within a preset process time corresponding to the first process equipment; The feeding action of the first process equipment is controlled according to the sum of all the fourth quantities and the first quantity.

8. The method according to claim 1, wherein The controlling of the feeding action of the first process equipment according to the first quantity and the second quantity includes: When the first quantity is less than or equal to the second quantity, continue feeding the first process equipment; or, When the first quantity is greater than the second quantity, feeding into the first process equipment is suspended.

9. A production control device, characterized in that: include: an acquiring unit, configured to acquire a first quantity of a material to be processed corresponding to a first process equipment, wherein the material to be processed is a target material that has entered the first process equipment and has not entered a second process equipment, and the second process equipment is a process equipment of a next process step of the first process equipment; a prediction unit, configured to predict, based on a current process state of the second process equipment, a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment, wherein the process state includes a working state and a maintenance state; a control unit, configured to control a feeding action of the first process equipment according to the first quantity and the second quantity; The predicting, based on the current process state of the second process equipment, a second quantity of the target material that can be processed by the second process equipment within a preset process time corresponding to the first process equipment includes: Determining the remaining process time before maintenance based on the rated process time of a single piece of the second process equipment, the remaining process capacity before maintenance, and the process time of the current piece, wherein the remaining process capacity before maintenance is the maximum amount of target material that the second process equipment can continue to process before entering a maintenance state; Determine the remaining time after maintenance based on the rated single-piece process time corresponding to the second process equipment, the remaining process capacity before maintenance, the current piece process time, and the rated maintenance duration; Based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance and the preset process time, the second quantity of target material that the second process equipment can process under the preset process time corresponding to the first process equipment is predicted.

10. An electronic device comprising: A memory and a processor, wherein the processor is configured to implement the steps of the production control method according to any one of claims 1 to 8 when executing a computer program stored in the memory.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the production control method according to any one of claims 1 to 8 is implemented.

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