WO2023231876A1 - 生产控制方法及装置、电子设备和存储介质 - Google Patents

生产控制方法及装置、电子设备和存储介质 Download PDF

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Publication number
WO2023231876A1
WO2023231876A1 PCT/CN2023/096149 CN2023096149W WO2023231876A1 WO 2023231876 A1 WO2023231876 A1 WO 2023231876A1 CN 2023096149 W CN2023096149 W CN 2023096149W WO 2023231876 A1 WO2023231876 A1 WO 2023231876A1
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Prior art keywords
equipment
process equipment
time
maintenance
remaining
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PCT/CN2023/096149
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English (en)
French (fr)
Inventor
唐海洋
刘浪
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京东方科技集团股份有限公司
绵阳京东方光电科技有限公司
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Publication of WO2023231876A1 publication Critical patent/WO2023231876A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0645—Rental transactions; Leasing transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • Embodiments of the present disclosure relate to, but are not limited to, the field of production control, and in particular, to a production control method and device, electronic equipment, and storage media.
  • the production and processing process it is an assembly line workshop composed of multiple process equipment. After the previous process equipment performs process processing, the materials that have gone through the previous process will be transferred to the adjacent subsequent process equipment through a robot or other transfer device. Processing continues. When the equipment capacity in the front and back processes does not match, it will significantly affect the production efficiency of the entire production line, and when there is a long time difference between the front and rear processes, the environment in the workshop is easily polluted and has gone through the front and rear processes. Process-processed materials, thereby reducing the production quality of the product.
  • an embodiment of the present disclosure proposes a production control method, which includes:
  • the second process equipment is the process equipment for the next process of the above-mentioned first process equipment
  • the feeding action of the first process equipment is controlled.
  • 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 includes:
  • the remaining process time before maintenance is determined, where the above-mentioned remaining process capacity before maintenance is the amount of time the above-mentioned second process equipment enters maintenance.
  • the target material that the second process equipment can process under the preset process time corresponding to the first process equipment is predicted. the second quantity.
  • the above prediction is based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time that the second process equipment can perform under the preset process time corresponding to the first process equipment.
  • a second quantity of target material processed including:
  • the above-mentioned second quantity is calculated based on the above-mentioned preset process duration, the above-mentioned rated maintenance duration, the above-mentioned maintained duration and the above-mentioned single-piece process rated duration.
  • the above prediction is based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time that the second process equipment can perform under the preset process time corresponding to the first process equipment.
  • a second quantity of target material processed including:
  • the above-mentioned process is determined based on the above preset process time, the above rated single-piece process time and the above-mentioned process time of the current part. Second quantity.
  • the above prediction is based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time that the second process equipment can perform under the preset process time corresponding to the first process equipment.
  • a second quantity of target material processed including:
  • 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 the maintenance is greater than the preset process time, it is determined that the remaining process capacity before maintenance is the second process time. quantity.
  • the above prediction is based on the remaining process capacity before maintenance, the remaining process time before maintenance, the remaining time after maintenance, and the preset process time that the second process equipment can perform under the preset process time corresponding to the first process equipment.
  • a second quantity of target material processed including:
  • the remaining process capacity before the above maintenance is not zero
  • the remaining process time before the above maintenance is less than the above preset process time
  • the remaining time after the above maintenance is less than the above preset process time, based on the above preset process time, the above single piece process
  • the rated time, the above-mentioned process time of the current part and the above-mentioned maintenance rated duration determine the above-mentioned second quantity.
  • 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 includes:
  • the above-mentioned second process equipment includes at least two process chambers, obtain the current process status of each chamber respectively;
  • the above methods also include:
  • each of the above-mentioned second process equipment corresponds to the first process equipment.
  • the feeding action of the above-mentioned first process equipment is controlled based on the sum of all the above-mentioned fourth quantities and the above-mentioned first quantity.
  • control of the feeding action of the above-mentioned first process equipment according to the above-mentioned first quantity and the second quantity includes:
  • embodiments of the present disclosure also provide a production control device, including:
  • the acquisition unit is configured to acquire the first quantity of materials to be processed corresponding to the first process equipment, where 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 It is the process equipment for the next process of the above-mentioned first process equipment;
  • the prediction unit is configured to predict 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 status of the above-mentioned second process equipment, wherein the above-mentioned process status includes Working status and maintenance status, the above-mentioned second process equipment can process a fixed amount of target material in each working status;
  • the control unit is configured to control the feeding action of the first process equipment according to the first quantity and the second quantity.
  • an embodiment of the present disclosure also provides an electronic device, including: a memory and a memory storing a computer program that can be run on a processor, wherein when the processor executes the local computer program, any one of the above exemplary embodiments is implemented Steps of the production control method in the embodiment.
  • embodiments of the present disclosure also provide a non-transitory computer-readable storage medium storing a computer program, and the computer program is configured to implement the production control method in any of the above exemplary embodiments when executed.
  • Figure 1 is a schematic flow chart of a production control method provided by an embodiment of the present disclosure
  • Figure 2 is a schematic diagram of a working state provided by an embodiment of the present disclosure
  • Figure 3 is a schematic structural diagram of a process system provided by an embodiment of the present disclosure.
  • Figure 4 is a schematic structural diagram of another process system provided by an embodiment of the present disclosure.
  • Figure 5 is a schematic structural diagram of yet another process system provided by an embodiment of the present disclosure.
  • Figure 6 is a schematic diagram of a production control effect provided by an embodiment of the present disclosure.
  • Figure 7 is a production control device provided by an embodiment of the present disclosure.
  • Figure 8 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • Figure 9 is a schematic structural diagram of a storage medium provided by an embodiment of the present disclosure.
  • FIG. 1 is a schematic flow chart of a production control method in an embodiment of the present disclosure. As shown in Figure 1, the production control method may include:
  • FIG. 3 is a schematic structural diagram of a process system provided by an embodiment of the present disclosure.
  • the process system may include: a first process equipment, a first transfer device and a second process equipment, wherein the first The process equipment is configured to perform a first process on the material, the first transfer device is configured to transfer the material processed by the first process equipment to the second process equipment, and the second process equipment is configured to perform a second process on the processed material. deal with.
  • the second process equipment is the process equipment for the next process of the first process equipment.
  • 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 to perform the process corresponding to the next process; or the first process equipment can be a cleaning equipment. After the first process equipment is cleaned, the cleaned target material is quickly placed into the second process equipment for the second process treatment.
  • the target material When the target material is not put into the second process equipment quickly after passing through the first process equipment, on the one hand, the target material will accumulate in front of the second process equipment, and on the other hand, the target material cannot enter the second process equipment in time. In this case, it is easy to cause contamination of the target material.
  • the first process equipment is a heating equipment
  • the target material processed by the heating equipment cannot enter the second process equipment in time, which may cause the temperature of the target material to not meet the requirements when it reaches the second process equipment.
  • the target material processed by the cleaning equipment taking the first process equipment as a cleaning equipment, the target material processed by the cleaning equipment cannot enter the second process equipment in time, which may result in the cleanliness of the target material not meeting the requirements or targets when it reaches the second process equipment.
  • the surface of the material is corroded by the environment, thus affecting product quality.
  • the first quantity of materials to be processed corresponding to the first process equipment can be obtained.
  • the materials to be processed are those that have entered the first process equipment and have not entered the second process equipment.
  • target material may include target materials being processed in the first process equipment, and may also include materials that have been processed by the first process equipment. But the target material has not yet entered the second process equipment, that is, the target material is exposed to the shop environment.
  • the current process state of the second process equipment may include: a working state and a maintenance state.
  • the working state refers to the corresponding state when the second process equipment is executing the second process
  • the maintenance state refers to the state when the second process equipment cannot perform the process.
  • the corresponding state during the second process.
  • the maintenance status may include: self-cleaning the equipment, or replacing relevant wearing parts of the equipment, etc.
  • the second process equipment may enter the maintenance state after processing a fixed amount of target material.
  • the fixed quantity can be set according to the actual application situation. For example, self-cleaning can be performed after processing 5 pieces of target materials.
  • the current process status may also include: time in working status and time in maintenance status.
  • the preset process time corresponding to the first process equipment refers to the time corresponding to 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.
  • the second quantity of the target material that can be processed under the corresponding process duration can be predicted according to the current process status of the second process equipment.
  • the first process equipment is controlled to feed 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 under the preset process duration. , so that the first process equipment can provide enough target material for the second process equipment, and ensure that too much target material is not between the first process equipment and the second process equipment to avoid material accumulation and material contamination.
  • the production control method obtaineds the first quantity of the material to be processed corresponding to the first process equipment, and predicts according to the process status of the second equipment that the second process equipment can be used at the preset value corresponding to the first equipment.
  • the process duration processes the second quantity of the target material, and controls the feeding action of the first process equipment through the second quantity and the first quantity.
  • the second process equipment switches work
  • the feeding rhythm of the previous first process equipment can be adjusted according to the production fluctuations of the subsequent second process equipment, thereby avoiding the target material exiting the first process.
  • the equipment causes product blockage in front of the second process equipment to avoid contamination caused by the target material, which can meet 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.
  • 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 may be include:
  • the remaining process time before maintenance is determined, where the above-mentioned remaining process capacity before maintenance is the amount of time the above-mentioned second process equipment enters maintenance.
  • the target material that the second process equipment can process under the preset process time corresponding to the first process equipment is predicted. the second quantity.
  • the second process equipment can enter the maintenance state after processing a fixed number of target materials. For example, taking a fixed quantity of 5 pieces as an example, the second process equipment can enter the maintenance state after completing the process processing of 5 pieces of target materials. Enter maintenance status.
  • the rated single-piece process time corresponding to the second process equipment refers to the rated time required for the second process equipment to process a piece of target material, for example, the rated single-piece process time of the second process equipment to process a piece of target material.
  • the duration can be 4 minutes.
  • the remaining process capacity before maintenance corresponding to the second process equipment is the maximum quantity of target materials that the second process equipment can continue to process before entering the maintenance state. For example, taking the above fixed quantity of 5 pieces as an example, the second The process equipment has completed the process processing of 2 target materials. At this time, the remaining process capacity before maintenance corresponding to the second process equipment is 3.
  • the processing time of the current part corresponding to the second process equipment refers to the processing time of the second process equipment that may be processing a certain target material at the current moment but has not yet finished processing the corresponding process. For example, it may be 3 minutes.
  • the rated maintenance duration corresponding to the second process equipment refers to the time required for the second process equipment to complete a maintenance state, and can be set to 10 minutes, for example.
  • the preset process duration corresponding to the first process equipment refers to the time required for the first process equipment to perform the first process on the target material, and may be, for example, 12 minutes.
  • CycRemain is the remaining process capacity before maintenance corresponding to the second process equipment
  • T (Tacktime) is the rated single-piece process time corresponding to the second process equipment
  • ProcessTime is the current part completed corresponding to the second process equipment. Processing time.
  • CycRemain is the remaining process capacity before maintenance corresponding to the second process equipment
  • T (Tacktime) is the rated single-piece process time corresponding to the second process equipment
  • ProcessTime is the current part completed corresponding to the second process equipment.
  • Process duration T (selfClean) is the rated maintenance duration corresponding to the second process equipment.
  • the above-mentioned remaining process time before maintenance t1 the above-mentioned remaining time after maintenance t2 and the above-mentioned preset process time T (Transfer)
  • the production control method uses the remaining process capacity before maintenance corresponding to the second process equipment, the remaining process time before maintenance corresponding to the second process equipment, the remaining maintenance end time corresponding to the second process equipment and the first
  • the preset process time corresponding to the process equipment predicts the target material that the second process equipment can process under the preset process time corresponding to the first process equipment.
  • the second quantity can be accurately predicted for the second quantity of the target material that the second process equipment can process under different working conditions within the preset process time corresponding to the first process equipment, thereby more accurately controlling the second quantity.
  • the following explains how to predict 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 according to the different working conditions of the second process equipment.
  • FIG. 2 illustrates four working conditions corresponding to the second process equipment, including: working condition A, working condition B, working condition C, and working condition D.
  • working condition A may refer to a working condition in which the remaining process capacity before maintenance corresponding to the second process equipment is equal to zero.
  • Working condition B may refer to a working condition in which the remaining process capacity before maintenance corresponding to the second process equipment is not zero, and the remaining process time before maintenance corresponding to the second process equipment is greater than the preset process time corresponding to the first process equipment.
  • Working condition C may mean that the remaining process capacity before maintenance corresponding to the second process equipment is not zero, the remaining process time before maintenance corresponding to the second process equipment is less than the preset process time corresponding to the first process equipment, and the process time corresponding to the second process equipment is The remaining time after the maintenance is completed is greater than the preset process time corresponding to the first process equipment.
  • Working condition D may mean that the remaining process capacity before maintenance corresponding to the second process equipment is not zero, the remaining process time before maintenance corresponding to the second process equipment is less than the preset process time corresponding to the first process equipment, and the process time corresponding to the second process equipment is The remaining time after maintenance is less than the preset process time corresponding to the first process equipment.
  • the prediction is 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 the target material that the above-mentioned second process equipment can process under the preset process duration corresponding to the first process equipment may include: obtaining the above-mentioned process capacity when the remaining process capacity before maintenance corresponding to the above-mentioned second process equipment is equal to zero.
  • the maintenance duration corresponding to the second process equipment according to the preset process duration corresponding to the above-mentioned first process equipment, the rated maintenance duration corresponding to the above-mentioned second process equipment, the maintenance duration corresponding to the above-mentioned second process equipment and the above-mentioned second process Calculate the above-mentioned second quantity based on the rated duration of the single-piece process corresponding to the equipment.
  • the second process equipment enters the maintenance state. You can obtain how long the second process equipment has been maintained, that is, you can obtain the CleanTime corresponding to the maintenance time of the second process equipment, and determine when the maintenance of the second process equipment can end.
  • T (Transfer) is the preset process duration corresponding to the first process equipment
  • T (selfClean) is the rated maintenance duration corresponding to the second process equipment
  • T (selfClean) is the corresponding maintenance duration of the second process equipment.
  • the rated maintenance duration of If equal to zero, 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.
  • the prediction is 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 the target material that the above-mentioned second process equipment can process under the preset process duration corresponding to the first process equipment may include: the remaining process capacity before the corresponding maintenance of the above-mentioned second process equipment is not zero and the above-mentioned second When the remaining process time before maintenance corresponding to the process equipment is greater than the preset process time corresponding to the above-mentioned first process equipment, according to the preset process time corresponding to the above-mentioned first process equipment and the single-piece process rated time corresponding to the above-mentioned second process equipment The processing time of the current part corresponding to the above-mentioned second process equipment determines the above-mentioned second quantity.
  • the second process equipment is in working condition B, which indicates that the second process equipment corresponds to a working condition in which 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.
  • T (Transfer) is the preset process time corresponding to the first process equipment
  • T (Tacktime) is the single-piece process rated time corresponding to the second process equipment
  • ProcessTime is the current process time corresponding to the second process equipment.
  • N 2B is when the remaining process capacity before maintenance corresponding to the second process equipment is not zero and the remaining process time before maintenance is greater than the preset process time
  • the second process equipment corresponds to the preset process time of the first process equipment. Assume the second quantity of the target material that can be processed under the process duration.
  • the prediction is 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 the target material that the above-mentioned second process equipment can process under the preset process duration corresponding to the first process equipment may include: the remaining process capacity before the maintenance corresponding to the above-mentioned second process equipment is not zero, the above-mentioned second When the remaining process time before maintenance corresponding to the process equipment is less than the preset process time corresponding to the above-mentioned first process equipment and the remaining time after maintenance corresponding to the above-mentioned second process equipment is greater than the preset process time corresponding to the above-mentioned first process equipment, it is determined The remaining process capacity before maintenance corresponding to the above-mentioned second process equipment is the above-mentioned second quantity.
  • the second process equipment is in working condition C, indicating that the remaining process capacity of the second process equipment before maintenance is not zero, the remaining process time before maintenance is less than the preset process time, and the remaining time after the maintenance is greater than the preset time.
  • the working condition of process duration that is, CycRemain ⁇ 0, t1 ⁇ T(Transfer), and t2>T(Transfer)
  • the second process equipment does not enter the maintenance state, but it will be within the preset process duration T(Transfer). Entering the maintenance state, therefore, the remaining process capacity CycRemain before maintenance can be determined as the second quantity N 2C under working condition C.
  • the prediction is 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 the target material that the above-mentioned second process equipment can process under the preset process duration corresponding to the first process equipment may include: the remaining process capacity before the maintenance corresponding to the above-mentioned second process equipment is not zero, the above-mentioned second If the remaining process time before maintenance corresponding to the process equipment is less than the preset process time corresponding to the above-mentioned first process equipment and the remaining time after maintenance corresponding to the above-mentioned second process equipment is less than the preset process time corresponding to the above-mentioned first process equipment, according to The preset process time corresponding to the above-mentioned first process equipment, the rated single-piece process time corresponding to the above-mentioned second process equipment, the current process time corresponding to the above-mentioned second process
  • the second process equipment is in working condition D, indicating that the remaining process capacity of the second process equipment before corresponding maintenance is not zero, the remaining process time before maintenance is less than the above preset process time, and the remaining time after the maintenance is less than the above preset time
  • the working condition of process duration is CycRemain ⁇ 0, t1 ⁇ T(Transfer), and t2 ⁇ T(Transfer). At this time, the second process equipment does not currently enter the maintenance state, but will experience it within the T(Transfer) time.
  • N 2D (T(Transfer)-(T(Tacktime)-ProcessTime)-T(selfClean))/T(Tacktime) (5);
  • T (Transfer) is the preset process time corresponding to the first process equipment
  • T (Tacktime) is the single-piece process rated time corresponding to the second process equipment
  • ProcessTime is the current process time corresponding to the second process equipment.
  • the process time of the piece, T (selfClean) is the rated maintenance duration corresponding to the second process equipment
  • N 2D is the remaining process capacity before maintenance corresponding to the second process equipment is not zero, and the remaining process time before maintenance is less than the above preset
  • the second quantity of the target material that the second process equipment can process under the preset process time corresponding to the first process equipment when the process time is less than the remaining time after the maintenance is completed is less than the preset process time.
  • the production control method provided by the embodiment of the present disclosure uses the remaining process capacity before maintenance corresponding to the second process equipment, the remaining process time before maintenance corresponding to the second process equipment, the remaining maintenance end time corresponding to the second process equipment and the first
  • the preset process duration corresponding to the process equipment divides the second process equipment into four working conditions, and an exemplary implementation method for predicting the second quantity under each working condition is provided, so that the second process equipment can be accurately controlled By predicting production capacity under various conditions, more precise control over the input of the first process equipment can be achieved.
  • the second process equipment may include one process chamber or multiple process chambers, such as two process chambers, three process chambers, four process chambers, or five process chambers. wait.
  • the embodiment of the present disclosure does not limit this.
  • 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 may be include:
  • the above-mentioned second process equipment includes at least two process chambers, obtain the current process status of each chamber respectively;
  • the second process equipment may include a plurality of process chambers, for example, two, three, four, five, etc. process chambers.
  • the second process equipment may include: process chamber 1 to process chamber 5, a total of five process chambers, each process The chamber may correspond to the process state corresponding to any one of the working conditions A, B, C and D introduced in the above embodiment.
  • the preset process duration corresponding to the process equipment determines the third quantity corresponding to each process chamber, which may include: the third quantity N 31 corresponding to the process chamber 1, the third quantity N 32 corresponding to the process chamber 2, and the third quantity N 32 corresponding to the process chamber 2.
  • the production control method when the second process equipment is a multi-chamber process equipment, respectively obtains the current working status of each chamber, and determines the third quantity corresponding to each process chamber. , that is, the expected production capacity within the preset process duration, and the sum of all third quantities is used as the second quantity corresponding to the second process equipment, and the feeding action of the first equipment is controlled according to the relationship between the second quantity and the first quantity to achieve targeted Multi-chamber process equipment proposes a solution for intelligently controlled production.
  • the number of the second process equipment may be one or more, for example, two, three, four, five, etc.
  • the embodiment of the present disclosure does not limit this.
  • the above-mentioned production control method may further include: when the number of the above-mentioned second process equipment is at least two, predicting each of the above-mentioned second process equipment based on the current process status of each second process equipment respectively.
  • one first process equipment can correspond to multiple second process equipments.
  • one first process equipment can correspond to two second process equipments, and one first process equipment can correspond to three pieces of second process equipment.
  • One second process equipment, or one first process equipment can correspond to three second process equipment, etc.
  • the embodiment of the present disclosure does not limit this.
  • one first process equipment can correspond to two second process equipment. As shown in Figure 5, one first process equipment can correspond to the second process equipment 1 and the second process equipment 2. According to The process status of each second process equipment predicts the fourth quantity of target materials that each second process equipment can process under the preset process duration corresponding to the first process equipment, which may include: the fourth quantity of the second process equipment 1 N 41 and the fourth quantity N 42 of the second process equipment 2 control the feeding action of the above-mentioned first process equipment according to the sum of the first quantity and all fourth quantities (for example, it can be N 41 + N 42 ).
  • controlling the feeding action of the first process equipment based on the sum of the first quantity and all fourth quantities may include: when the first quantity is less than or equal to the sum of all the fourth quantities. In this case, control the feeding of materials to the above-mentioned first process equipment; or, in the case where the above-mentioned first quantity is greater than the sum of all the above-mentioned fourth quantities, suspend the feeding of materials to the first process equipment.
  • the target material processed by the first process equipment is not enough for at least one of the plurality of second process equipment to work continuously, which may easily cause multiple The second process equipment is Idle.
  • the production control method when one first process equipment corresponds to multiple second process equipments, predicts the preset process duration corresponding to each of the above-mentioned second process equipments in the first process equipment.
  • the fourth quantity of the target material that can be processed is controlled according to the relationship between the sum of all the above fourth quantities and the first quantity, so as to realize the situation where one first process equipment corresponds to multiple second process equipment. , proposing a more intelligent production method.
  • controlling the feeding action of the first process equipment according to the first quantity and the second quantity may include: when the first quantity is less than or equal to the second quantity, controlling Feeding materials to the above-mentioned first process equipment; or, if the above-mentioned first quantity is greater than the above-mentioned second quantity, suspending feeding materials to the first process equipment.
  • the target material processed by the first process equipment is not enough for the second process equipment to continuously work, which may easily cause the second process equipment to become idle. It is necessary to control the feeding of materials to the first process equipment to provide sufficient target material; when the first quantity is greater than the second quantity, the target material may cause product obstruction between the second process equipment and the first process equipment. , at this time, the control stops feeding materials to the first process equipment to avoid The blockage intensifies and the working pressure of the second process equipment is relieved.
  • the production control method provided by the embodiment of the present disclosure can effectively control the feeding equipment of the first process equipment through the relationship between the first quantity and the second quantity, and can ensure that the second process equipment has enough target materials for production to avoid occurrences. idle, and can avoid product blockage between the first process equipment and the second process equipment, providing a more intelligent production control method.
  • the process state of the second process equipment may further include: a fault state.
  • the production control method may further include: exiting the target material storage of the first process equipment when the process state is a fault state and the first quantity is greater than the second quantity. into the temporary storage area.
  • the second process equipment may also have 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 Store in the temporary storage area to avoid disorderly accumulation of target materials.
  • the target materials that have been processed by the first process equipment are placed in the temporary storage area for storage. Provides a backup solution in the event of process equipment failure.
  • CVD Chemical Vapor Deposition, chemical vapor deposition
  • chamber-type process equipment will perform self-cleaning after processing certain products, so the production rhythm of the equipment will fluctuate. When it is self-cleaning, the production cycle will be slower. Before the CVD process is carried out, a period of side-mounted cleaning equipment is required for the process. However, the production rhythm of the cleaning machine is constant, which will lead to production blockage in the cleaning machine when the chamber equipment is self-cleaning. Production blockage will cause a loss of production capacity and yield in the cleaning machine process. When the glass is blocked in the cleaning machine, it will enter the buffer of the cleaning machine. At this time, the cleaning machine needs to process all the glass being processed.
  • Glass can only be put into production after production is completed, which causes the process to be interrupted for a long time and clears the line, which is a waste of production time; Glass was not put into CVD chamber process equipment in time after the cleaning machine was produced, and long-term exposure to an acidic environment can easily lead to other Abnormal production problems lead to product defects (often manifested as electrical abnormalities).
  • the second process equipment can be a CVD chamber-type process equipment
  • the first process equipment can be a pre-processing cleaning machine
  • the target material can be a pre-treatment cleaning machine.
  • Glass for processing Through the first transfer device (for example, it can be a robot), the Glass in the temporary storage area can be put into the cleaning machine for cleaning process, and the Glass processed by the cleaning machine can be put into the CVD chamber process equipment. After being cleaned by the cleaning machine, the Glass , and then enter the CVD chamber process equipment for PECVD (Plasma Enhanced Chemical Vapor Deposition, plasma enhanced chemical vapor deposition method) process. After the glass is processed by the cleaning machine, the cleaned Glass must be quickly sent to the CVD chamber.
  • PECVD Plasma Enhanced Chemical Vapor Deposition, plasma enhanced chemical vapor deposition method
  • the time period associated with the expected production capacity is T (Transfer).
  • T the time required for Glass from input to output and entering the chamber of CVD chamber equipment
  • T the time required for Glass from input to output and entering the chamber of CVD chamber equipment
  • the second quantity) that can be produced by the production capacity of CVD chamber equipment is the maximum allowable investment in the cleaning machine. quantity. That is, when investing in Glass, it is necessary to satisfy N 1 (the number of existing Glasses in the line body, that is, the first quantity) ⁇ N 2 (CVD demand, that is, the second quantity).
  • CVD chamber-type equipment is capable of continuously processing the most The maximum quantity is 5, the rated single-piece process time T (Tacktime) is 4 minutes, the rated maintenance duration T (selfClean) is 10 minutes, the maintenance status is the self-cleaning state of CVD chamber equipment, and the preset process time T (Transfer ) is 12 minutes, that is, the minimum duration of a glass from entering cleaning to entering CVD equipment is 12 minutes.
  • Tacktime the rated single-piece process time
  • selfClean selfClean
  • the maintenance status is the self-cleaning state of CVD chamber equipment
  • the preset process time T (Transfer ) is 12 minutes, that is, the minimum duration of a glass from entering cleaning to entering CVD equipment is 12 minutes.
  • a certain state of CVD chamber equipment can be as shown in Table 1:
  • N 1 is less than 6, control the input of Glass into the cleaning machine; or, when N 1 is greater than or equal to 6 , stop putting Glass into the cleaning machine.
  • the cleaning machine line clearing causes the main process CVD chamber equipment to become idle, and the production cycle time TT is reduced from 110s to 110s. 92s, an overall improvement of 18s.
  • the ordinate is the production takt time (s)
  • the abscissa corresponds to the five sets of data for statistical production takt, that is, the minimum value, maximum, standard deviation, mean, and median.
  • the production control method provided by the embodiment of the present disclosure has a very obvious effect on balanced production, and the input Glass can be carried out in a timely manner after cleaning.
  • the abnormal max data is due to the device being Down for part of the period. Without production balance control, Glass may have to wait a long time after cleaning before proceeding with the main process.
  • the data in Figure 6 is obtained from two systems of the same process type. The inventor of the present disclosure adopted one of the systems using the production control method provided by the embodiment of the present disclosure, while the other system did not use this method.
  • the production control method provided by the embodiment of the present disclosure can fully utilize the production capacity of CVD chamber equipment, avoid the occurrence of IDLE, and can effectively prevent the generation of buffer in the cleaning machine, optimize production efficiency, and ensure production quality.
  • an embodiment of the present disclosure also provides a production control device, which may include:
  • the acquisition unit 21 is configured to acquire the first quantity of materials to be processed corresponding to the first process equipment, where 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
  • the equipment is the process equipment for the next process step of the above-mentioned first process equipment
  • the prediction unit 22 is configured to predict, based on the current process state of the second process equipment, 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, wherein the process state Including working status and maintenance status;
  • the above-mentioned second process equipment can process a fixed amount of target material in each working state.
  • the control unit 23 is configured to control the feeding action of the first process equipment according to the first quantity and the second quantity.
  • an embodiment of the present disclosure also provides an electronic device 300, which may include a memory 310.
  • the processor 320 and the computer program 311 stored on the memory 320 and executable on the processor 320.
  • the processor 320 executes the computer program 311, the steps of the production control method in one or more exemplary embodiments are implemented.
  • an embodiment of the present disclosure also provides a non-transitory computer-readable storage medium 400 on which a computer program 311 is stored.
  • the computer program 311 is configured to perform the production in one or more of the above exemplary embodiments. Control Method.
  • the electronic equipment introduced in this embodiment is the equipment used to implement a production control device in the embodiment of the present disclosure, based on the method introduced in the embodiment of the present disclosure, those skilled in the art can understand the electronic equipment of this embodiment.
  • the specific implementation mode of the device and its various modifications, so how the electronic device implements the method in the disclosed embodiment will not be described in detail here. As long as those skilled in the art implement the method in the disclosed embodiment equipment, all fall within the scope of protection intended by this disclosure.
  • the computer program 311 is configured to implement any of the embodiments corresponding to FIG. 1 when executed.
  • embodiments of the present disclosure may be provided as methods, systems, or computer program products. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment that combines software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
  • computer-usable storage media including, but not limited to, disk storage, CD-ROM, optical storage, etc.
  • These computer program instructions may also be stored in a computer or other programmable data processing device that A computer-readable memory configured to operate in a specific manner such that instructions stored in the computer-readable memory produce an article of manufacture including instruction means implemented in a process or processes of a flowchart and/or a method of a block diagram A function specified in a box or boxes.
  • These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device.
  • Instructions provide steps for implementing the functions specified in a process or processes of a flowchart diagram and/or a block or blocks of a block diagram.
  • Embodiments of the present disclosure also provide a computer program product.
  • the computer program product includes computer software instructions.
  • the processing device executes the flow of the production control method in the corresponding embodiment of Figure 1. .
  • a computer program product includes one or more computer instructions. When computer program instructions are loaded and executed on a computer, processes or functions according to embodiments of the present disclosure are produced, in whole or in part.
  • the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
  • Computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, e.g., computer instructions may be transmitted from a website, computer, server or data center via a wired link (e.g. Coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means to transmit to another website, computer, server or data center.
  • a wired link e.g. Coaxial cable, optical fiber, digital subscriber line (DSL)
  • wireless such as infrared, wireless, microwave, etc.
  • Computer-readable storage media can be any available media that a computer can store, or a data storage device such as a server or data center integrated with one or more available media. Available media may be magnetic media (eg, floppy disk, hard disk, tape), optical media (eg, DVD), or semiconductor media (eg, solid state disk (SSD)), etc.
  • Available media may be magnetic media (eg, floppy disk, hard disk, tape), optical media (eg, DVD), or semiconductor media (eg, solid state disk (SSD)), etc.
  • the disclosed systems, devices and methods can be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined or integrated. to another system, Or some features can be ignored, or not implemented.
  • the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.
  • a unit described as a separate component may or may not be physically separate.
  • a component shown as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in various embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • the above integrated units can be implemented in the form of hardware or software functional units.
  • Integrated units may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as independent products.
  • the technical solution of the present disclosure is essentially or contributes to the existing technology, 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 several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present disclosure.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program code. .

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Abstract

一种生产控制方法及装置、电子设备和存储介质。该方法包括：获取第一工艺设备对应的待处理材料的第一数量，其中，上述待处理材料为已经进入上述第一工艺设备且未进入第二工艺设备的目标材料，上述第二工艺设备为上述第一工艺设备的下一道工序的工艺设备；基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，其中，上述第二工艺设备在每个工作状态能够处理固定数量的目标材料；根据上述第一数量和第二数量，控制上述第一工艺设备的投料动作。

Description

生产控制方法及装置、电子设备和存储介质
本申请要求于2022年05月31日提交中国专利局、申请号为202210615336.3、发明名称为“一种生产控制方法及相关设备”的中国专利申请的优先权，其内容应理解为通过引用的方式并入本申请中。
技术领域
本公开实施例涉及但不限于生产控制领域，尤其涉及一种生产控制方法及装置、电子设备和存储介质。
背景技术
在生产加工过程中，是由多个工艺设备组成的流水线车间，在前序的工艺设备进行工艺处理后，会通过机械手或其他转运装置将经过前序工艺的材料转运到紧邻的后序工艺设备中继续进行工艺处理。在前后工艺中设备产能不匹配的情况下，会显著影响整个产线的生产效率，而且当前序工艺与后序工艺之间时间相差较长的情况下，车间里的环境容易污染已经过前序工艺处理的材料，从而降低产品的生产质量。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
在发明内容部分中引入了一系列简化形式的概念，这将在具体实施方式部分中进一步详细说明。本公开的发明内容部分并不意味着要试图限定出所要求保护的技术方案的关键特征和必要技术特征，更不意味着试图确定所要求保护的技术方案的保护范围。
第一方面，本公开实施例提出一种生产控制方法，法包括：
获取第一工艺设备对应的待处理材料的第一数量，其中，上述待处理材料为已经进入上述第一工艺设备且未进入第二工艺设备的目标材料，上述第 二工艺设备为上述第一工艺设备的下一道工序的工艺设备；
基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，其中，上述工艺状态包括工作状态和维护状态；
根据上述第一数量和上述第二数量，控制上述第一工艺设备的投料动作。
可选的，上述基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
基于上述第二工艺设备对应的单件工艺额定时长、维护前剩余工艺能力和当前件已工艺时长，确定维护前剩余工艺时长，其中，上述维护前剩余工艺能力为上述第二工艺设备在进入维护状态前能够继续处理的目标材料的最大数量；
根据上述第二工艺设备对应的上述单件工艺额定时长、上述维护前剩余工艺能力、上述当前件已工艺时长和维护额定持续时长，确定维护结束剩余时长；
根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量。
可选的，上述根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
在上述维护前剩余工艺能力等于零的情况下，获取上述第二工艺设备对应的已维护时长；
根据上述预设工艺时长、上述维护额定持续时长、上述已维护时长和上述单件工艺额定时长，计算上述第二数量。
可选的，上述根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
在上述维护前剩余工艺能力不为零且上述维护前剩余工艺时长大于上述预设工艺时长的情况下，根据上述预设工艺时长、上述单件工艺额定时长和上述当前件已工艺时长，确定上述第二数量。
可选的，上述根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
在上述维护前剩余工艺能力不为零、上述维护前剩余工艺时长小于上述预设工艺时长且上述维护结束剩余时长大于上述预设工艺时长的情况下，确定上述维护前剩余工艺能力为上述第二数量。
可选的，上述根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
在上述维护前剩余工艺能力不为零、上述维护前剩余工艺时长小于上述预设工艺时长且上述维护结束剩余时长小于上述预设工艺时长的情况下，根据上述预设工艺时长、上述单件工艺额定时长、上述当前件已工艺时长和上述维护额定持续时长，确定上述第二数量。
可选的，上述基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
在上述第二工艺设备包括至少两个工艺腔室的情况下，分别获取每个腔室的当前工艺状态；
根据每个上述工艺腔室的工艺状态和对应的预设工艺时长确定每个上述工艺腔室在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第三数量；
将所有上述第三数量的总和作为上述第二工艺设备对应的上述第二数量。
可选的，上述方法还包括：
在上述第二工艺设备的数量为至少两个的情况下，分别基于每个第二工艺设备的当前工艺状态，预测每个上述第二工艺设备在第一工艺设备对应的 预设工艺时长下能够处理的目标材料的第四数量；
根据所有上述第四数量之和及上述第一数量，控制上述第一工艺设备的投料动作。
可选的，上述根据上述第一数量和第二数量控制上述第一工艺设备的投料动作，包括：
在上述第一数量小于或等于上述第二数量的情况下，控制向上述第一工艺设备投料；
或，
在上述第一数量大于上述第二数量的情况下，暂停向第一工艺设备投料。
第二方面，本公开实施例还提出一种生产控制装置，包括：
获取单元，配置为获取第一工艺设备对应的待处理材料的第一数量，其中，上述待处理材料为已经进入上述第一工艺设备且未进入第二工艺设备的目标材料，上述第二工艺设备为上述第一工艺设备的下一道工序的工艺设备；
预测单元，配置为基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，其中，上述工艺状态包括工作状态和维护状态，上述第二工艺设备在每个工作状态能够处理固定数量的目标材料；
控制单元，配置为根据上述第一数量和上述第二数量，控制上述第一工艺设备的投料动作。
第三方面，本公开实施例还提出一种电子设备，包括：存储器以及存储有可在处理器上运行的计算机程序的存储器，其中，上述处理器执行地点计算机程序时实现如上述任一示例性实施例中的生产控制方法的步骤。
第四方面，本公开实施例还提出一种非瞬态计算机可读存储介质，存储有计算机程序，上述计算机程序配置为执行时实现上述任一示例性实施例中的生产控制方法。
本公开的其它特征和优点将在随后的说明书中阐述，并且，部分地从说明书中变得显而易见，或者通过实施本公开而了解。本公开的其它优点可通过在说明书以及附图中所描述的方案来实现和获得。
在阅读并理解了附图和详细描述后，可以明白其他方面。
附图说明
通过阅读下文示例性实施方式的详细描述，各种其他的优点和益处对于本领域普通技术人员将变得清楚明了。附图仅用于示出示例性实施方式的目的，而并不认为是对本说明书的限制。而且在整个附图中，用相同的参考符号表示相同的部件。在附图中：
图1为本公开实施例提供的一种生产控制方法流程示意图；
图2为本公开实施例提供的一种工况状态示意图；
图3为本公开实施例提供的一种工艺系统结构示意图；
图4为本公开实施例提供的另一种工艺系统结构示意图；
图5为本公开实施例提供的再一种工艺系统结构示意图；
图6为本公开实施例提供的一种生产控制效果示意图；
图7为本公开实施例提供的一种生产控制装置；
图8为本公开实施例提供的一种电子设备结构示意图；
图9为本公开实施例提供的一种存储介质结构示意图。
具体实施方式
本公开的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”、“第四”等(如果存在)是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的实施例能够以除了在这里图示或描述的内容以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的 实施例仅仅是本公开一部分示例性实施例，而不是全部的实施例。
本公开实施例提出一种生产控制方法。图1为本公开实施例中一种生产控制方法流程示意图，如图1所示，该生产控制方法可以包括：
S110、获取第一工艺设备对应的待处理材料的第一数量，其中，上述待处理材料为已经进入上述第一工艺设备且未进入第二工艺设备的目标材料，上述第二工艺设备为上述第一工艺设备的下一道工序的工艺设备；
在一种示例性的实施例中，图3为本公开实施例提供的一种工艺系统结构示意图，工艺系统可以包括：第一工艺设备、第一转运装置和第二工艺设备，其中，第一工艺设备配置为对材料进行第一工艺处理，第一转运装置配置为将经第一工艺设备处理后的材料转运至第二工艺设备，第二工艺设备配置为对处理后的材料进行第二工艺处理。
示例性的，如图3所示，第二工艺设备为第一工艺设备下一道工序的工艺设备。例如，第一工艺设备可以是加热设备，将目标材料加热到预设温度后快速转运到第二工艺设备中进行下一个工序对应的工艺；或者，第一工艺设备可以是清洗设备，在经过第一工艺设备清洗后，将清洗干净的目标材料快速放入第二工艺设备中，进行第二工艺处理。
当目标材料在经过第一工艺设备后不快速放入第二工艺设备时，那么，一方面会导致目标材料在第二工艺设备前积攒，另一方面，在目标材料无法及时进入第二工艺设备的情况下，还容易对目标材料造成污染。例如，以第一工艺设备为加热设备为例，经加热设备处理后的目标材料不能及时进入第二工艺设备，可能会导致该目标材料到第二工艺设备时，温度不符合要求。又如，以第一工艺设备为清洗设备为例，经清洗设备处理后的目标材料不能及时进入第二工艺设备，可能会导致该目标材料到第二工艺设备时，清洁度不符合要求或目标材料的表面遭到环境的腐蚀，从而影响产品质量。
为了避免出现目标材料积攒、对目标材料造成污染等不良问题，可以获取第一工艺设备对应的待处理材料的第一数量，待处理材料为已经进入第一工艺设备且未进入第二工艺设备的目标材料。例如，待处理材料可以包括正在第一工艺设备中处理的目标材料，还可以包括已经经过第一工艺设备处理 但是还没有进入第二工艺设备中的目标材料，即暴露在车间环境中的目标材料。
S120、基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，其中，上述工艺状态可以包括工作状态和维护状态；
示例性的，第二工艺设备的当前工艺状态可以包括：工作状态和维护状态，工作状态是指第二工艺设备正在执行第二工艺时对应的状态，维护状态是指为第二工艺设备不能执行第二工艺时对应的状态。
示例性的，维护状态可以包括：对设备进行自清洗、或者设备更换相关易损部件等状态。
示例性的，第二工艺设备在处理固定数量的目标材料后可以进入维护状态。这里，固定数量可以根据实际应用情况进行设定，例如，进行5件目标材料的处理后可以进行自清洁。
示例性的，当前工艺状态还可以包括：处于工作状态的时间和处于维护状态的时间。第一工艺设备对应的预设工艺时长是指进入第一工艺设备到完成第一工艺从第一工艺设备移出对应的时长，例如：加热处理时长或清洗处理时长等。根据第二工艺设备的当前工艺状态能够预测出在对应的工艺时长下能够处理的目标材料的第二数量。
S130、根据上述第一数量和第二数量控制上述第一工艺设备的投料动作。
示例性的，根据第一工艺设备对应的待处理材料的第一数量和第二工艺设备在预设工艺时长下能够处理的目标材料的第二数量，来控制第一工艺设备进行投料或者停止投料，以使第一工艺设备能够为第二工艺设备提供足够的目标材料，且保证不至于过多的目标材料处于第一工艺设备和第二工艺设备之间，避免造成材料积攒和材料污染。
如此，本公开实施例提供的生产控制方法，通过获取第一工艺设备对应的待处理材料的第一数量，并根据第二设备的工艺状态预测第二工艺设备能够在第一设备对应的预设工艺时长处理目标材料的第二数量，通过第二数量和第一数量控制第一工艺设备的投料动作。如此，在第二工艺设备切换工作 状态造成第二工艺设备的生产节奏发生波动的情况下，可以根据后序的第二工艺设备的生产波动调节前序的第一工艺设备的投料节拍，从而，避免了目标材料在退出第一工艺设备后在第二工艺设备前造成产品阻塞，避免目标材料造成污染，能满足生产线中第二工艺设备的最大产能，进而，达到了智能控制生产，优化生产节奏，提升产品质量的目的。
在一些示例性的实施例中，上述基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，可以包括：
基于上述第二工艺设备对应的单件工艺额定时长、维护前剩余工艺能力和当前件已工艺时长，确定维护前剩余工艺时长，其中，上述维护前剩余工艺能力为上述第二工艺设备在进入维护状态前能够继续处理的目标材料的最大数量；
根据上述第二工艺设备对应的上述单件工艺额定时长、上述维护前剩余工艺能力、上述当前件已工艺时长和维护额定持续时长，确定维护结束剩余时长；
根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量。
示例性的，第二工艺设备在对固定数量的目标材料进行工艺处理后可以进入维护状态，例如，以固定数量为5件为例，第二工艺设备在完成5件目标材料的工艺处理后可以进入维护状态。
示例性的，第二工艺设备对应的单件工艺额定时长是指第二工艺设备对一件目标材料进行工艺处理所需的额定时长，例如第二工艺设备处理一件目标材料的单件工艺额定时长可以是4分钟。
示例性的，第二工艺设备对应的维护前剩余工艺能力为第二工艺设备在进入维护状态前能够继续处理的目标材料的最大数量，例如，以上述的固定数量为5件为例，第二工艺设备已经完成了2件目标材料的工艺处理，此时，第二工艺设备对应的维护前剩余工艺能力为3。
示例性的，第二工艺设备对应的当前件已工艺时长是指第二工艺设备在当前的时刻可能正在对某一目标材料进行工艺处理但是还没有处理完对应的已经工艺的时长，例如可以是3分钟。
示例性的，第二工艺设备对应的维护额定持续时长是指第二工艺设备完成一个维护状态所需的时间，例如可以设置为10分钟。
示例性的，第一工艺设备对应的预设工艺时长是指第一工艺设备对目标材料进行第一工艺处理所需的时间，例如可以是12分钟。
以上所列出的时间和数量只是为了举例说明，本公开实施例对相关参数的实际数值不做限制。
可以通过式(1)计算维护前剩余工艺时长t1：
t1＝CycRemain*T(Tacktime)-ProcessTime    (1)；
在上式(1)中，CycRemain为第二工艺设备对应的维护前剩余工艺能力，T(Tacktime)为第二工艺设备对应的单件工艺额定时长，ProcessTime为第二工艺设备对应的当前件已工艺时长。
可以通过式(2)计算维护结束剩余时长t2：
t2＝CycRemain*T(Tacktime)+T(selfClean)-ProcessTime    (2)；
在上式(2)中，CycRemain为第二工艺设备对应的维护前剩余工艺能力，T(Tacktime)为第二工艺设备对应的单件工艺额定时长，ProcessTime为第二工艺设备对应的当前件已工艺时长，T(selfClean)为第二工艺设备对应的维护额定持续时长。
根据上述维护前剩余工艺能力CycRemain、上述维护前剩余工艺时长t1、上述维护结束剩余时长t2和上述预设工艺时长T(Transfer)，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长T(Transfer)下能够处理的目标材料的第二数量。
如此，本公开实施例提供的生产控制方法，通过第二工艺设备对应的维护前剩余工艺能力、第二工艺设备对应的维护前剩余工艺时长、第二工艺设备对应的维护结束剩余时长和第一工艺设备对应的预设工艺时长，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的 第二数量，可以针对第二工艺设备在不同的工况状态下在第一工艺设备对应的预设工艺时长内的能够处理的目标材料的第二数量做出精准预测，从而更加精准地控制第一工艺设备的投料动作。
下面针对第二工艺设备处于不同工况，对如何预测第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量进行说明。
在一些示例性的实施例中，请参阅图2，图2中示意出了第二工艺设备对应的四种工况，包括：工况A、工况B、工况C和工况D。其中，工况A可以是指第二工艺设备对应的维护前剩余工艺能力等于零的工况。工况B可以是指第二工艺设备对应的维护前剩余工艺能力不为零，且第二工艺设备对应的维护前剩余工艺时长大于第一工艺设备对应的预设工艺时长的工况。工况C可以是指第二工艺设备对应的维护前剩余工艺能力不为零、第二工艺设备对应的维护前剩余工艺时长小于第一工艺设备对应的预设工艺时长且第二工艺设备对应的维护结束剩余时长大于第一工艺设备对应的预设工艺时长的工况。工况D可以是指第二工艺设备对应的维护前剩余工艺能力不为零、第二工艺设备对应的维护前剩余工艺时长小于第一工艺设备对应的预设工艺时长且第二工艺设备对应的维护结束剩余时长小于第一工艺设备对应的预设工艺时长的工况。
在一些示例性的实施例中，以第二工艺设备处于工况A为例，上述根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，可以包括：在上述第二工艺设备对应的维护前剩余工艺能力等于零的情况下，获取上述第二工艺设备对应的已维护时长；根据上述第一工艺设备对应的预设工艺时长、上述第二工艺设备对应的维护额定持续时长、上述第二工艺设备对应的已维护时长和上述第二工艺设备对应的单件工艺额定时长，计算上述第二数量。
示例性的，第二工艺设备处于工况A，表明第二工艺设备对应维护前剩余工艺能力为零的工况，即CycRemain＝0，此时，第二工艺设备进入维护状态。可以获取第二工艺设备已经维护了多长时间，即可以获取第二工艺设备对应的已维护时长CleanTime，确定第二工艺设备的维护何时能够结束，计 算结束后并且在预设工艺时长内能够处理目标材料的数量，即为工况A下对应的第二数量N2A，可以通过式(3)计算工况A下的第二数量N2A：
N2A＝(T(Transfer)-(T(selfClean)-CleanTime))/T(Tacktime)    (3)；
在上式(3)中，T(Transfer)为第一工艺设备对应的预设工艺时长，T(selfClean)为第二工艺设备对应的维护额定持续时长，T(selfClean)为第二工艺设备对应的维护额定持续时长，T(Tacktime)为第二工艺设备对应的单件工艺额定时长，CleanTime为第二工艺设备对应的已维护时长，N2A为在第二工艺设备对应的维护前剩余工艺能力等于零的情况下，第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量。
在一些示例性的实施例中，以第二工艺设备处于工况B为例，上述根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，可以包括：在上述第二工艺设备对应的维护前剩余工艺能力不为零且上述第二工艺设备对应的维护前剩余工艺时长大于上述第一工艺设备对应的预设工艺时长的情况下，根据上述第一工艺设备对应的预设工艺时长、上述第二工艺设备对应的单件工艺额定时长和上述第二工艺设备对应的当前件已工艺时长确定上述第二数量。
示例性的，第二工艺设备处于工况B，表明第二工艺设备对应维护前剩余工艺能力不为零且维护前剩余工艺时长大于预设工艺时长的工况，即CycRemain≠0，t1>T(Transfer)，此时，第二工艺设备在预设工艺时长内会一直工作，并且不会进入维护状态，可以通过式(4)计算工况B下的第二数量N2B:
N2B＝(T(Transfer)-(T(Tacktime)-ProcessTime))/T(Tacktime)    (4)；
在上式(4)中，T(Transfer)为第一工艺设备对应的预设工艺时长，T(Tacktime)为第二工艺设备对应的单件工艺额定时长，ProcessTime为第二工艺设备对应的当前件已工艺时长，N2B为在第二工艺设备对应的维护前剩余工艺能力不为零且维护前剩余工艺时长大于预设工艺时长的情况下，第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量。
在一些示例性的实施例中，以第二工艺设备处于工况C为例，上述根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，可以包括：在上述第二工艺设备对应的维护前剩余工艺能力不为零、上述第二工艺设备对应的维护前剩余工艺时长小于上述第一工艺设备对应的预设工艺时长且上述第二工艺设备对应的维护结束剩余时长大于上述第一工艺设备对应的预设工艺时长的情况下，确定上述第二工艺设备对应的维护前剩余工艺能力为上述第二数量。
示例性的，第二工艺设备处于工况C，表明第二工艺设备对应维护前剩余工艺能力不为零、上述维护前剩余工艺时长小于上述预设工艺时长且上述维护结束剩余时长大于上述预设工艺时长的工况，即CycRemain≠0，t1<T(Transfer)，且t2>T(Transfer)，此时，第二工艺设备未进入维护状态，但是会在预设工艺时长T(Transfer)内进入维护状态，因此，可以将维护前剩余工艺能力CycRemain确定为工况C下的第二数量N2C。
在一些示例性的实施例中，以第二工艺设备处于工况D为例，上述根据上述维护前剩余工艺能力、上述维护前剩余工艺时长、上述维护结束剩余时长和上述预设工艺时长，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，可以包括：在上述第二工艺设备对应的维护前剩余工艺能力不为零、上述第二工艺设备对应的维护前剩余工艺时长小于上述第一工艺设备对应的预设工艺时长且上述第二工艺设备对应的维护结束剩余时长小于上述第一工艺设备对应的预设工艺时长的情况下，根据上述第一工艺设备对应的预设工艺时长、上述第二工艺设备对应的单件工艺额定时长、上述第二工艺设备对应的当前件已工艺时长和上述第二工艺设备对应的维护额定持续时长确定上述第二数量。
示例性的，第二工艺设备处于工况D，表明第二工艺设备对应护前剩余工艺能力不为零、上述维护前剩余工艺时长小于上述预设工艺时长且上述维护结束剩余时长小于上述预设工艺时长的工况，即CycRemain≠0，t1<T(Transfer)，且t2<T(Transfer)，此时，第二工艺设备当前并未进入维护状态，但是会在T(Transfer)时间内经历一次完整的维护处理，可以通过式(5) 计算工况D下的第二数量N2D：
N2D＝(T(Transfer)-(T(Tacktime)-ProcessTime)-T(selfClean))/T(Tacktime)    
(5)；
在上式(5)中，T(Transfer)为第一工艺设备对应的预设工艺时长，T(Tacktime)为第二工艺设备对应的单件工艺额定时长，ProcessTime为第二工艺设备对应的当前件已工艺时长，T(selfClean)为第二工艺设备对应的维护额定持续时长，N2D为在第二工艺设备对应的护前剩余工艺能力不为零、上述维护前剩余工艺时长小于上述预设工艺时长且上述维护结束剩余时长小于上述预设工艺时长的情况下，第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量。
如此，本公开实施例提供的生产控制方法，通过第二工艺设备对应的维护前剩余工艺能力、第二工艺设备对应的维护前剩余工艺时长、第二工艺设备对应的维护结束剩余时长和第一工艺设备对应的预设工艺时长，对第二工艺设备分为四种工况，并给出每种工况下的预测第二数量的示例性实施方法，从而，能够准确把控第二工艺设备在多种情况下的预测产能，进而能够对第一工艺设备的投入动作做出更为精确的控制。
在一种示例性实施例中，第二工艺设备可以包括一个工艺腔室或者多个工艺腔室，如两个工艺腔室、三个工艺腔室、四个工艺腔室、五个工艺腔室等。这里，本公开实施例对此不做限定。
在一些示例性的实施例中，上述基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，可以包括：
在上述第二工艺设备包括至少两个工艺腔室的情况下，分别获取每个腔室的当前工艺状态；
根据每个上述工艺腔室的工艺状态和对应的预设工艺时长，确定每个上述工艺腔室在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第三数量；
将所有上述第三数量的总和作为上述第二工艺设备对应的上述第二数量。
在一种示例性实施例中，第二工艺设备可以包括多个工艺腔室，例如，两个、三个、四个、五个等数量的工艺腔室。示例性的，以第二工艺设备包括五个工艺腔室为例，如图4所示，第二工艺设备可以包括：工艺腔室1至工艺腔室5共五个工艺腔室，每个工艺腔室可能对应着上述实施例介绍的工况A、工况B、工况C和工况D中任意一种工况对应的工艺状态，根据每个工艺腔室的当前工艺状态和上述第一工艺设备对应的预设工艺时长，确定每个工艺腔室对应的第三数量，可以包括：工艺腔室1对应的第三数量N31、工艺腔室2对应的第三数量N32、工艺腔室3对应的第三数量N33、工艺腔室4对应的第三数量N34和工艺腔室5对应的第三数量N35，并将N31+N32+N33+N34+N35作为第二工艺设备对应的第二数量N2。
如此，本公开实施例提供的生产控制方法，在第二工艺设备为多腔室工艺设备的情况下，分别获取每个腔室的当前工作状态，并确定每个工艺腔室对应的第三数量，即在预设工艺时长内的预计产能，并将所有第三数量总和作为第二工艺设备对应的第二数量，根据第二数量和第一数量的关系控制第一设备的投料动作，实现针对多腔室工艺设备提出了一种智能控制生产的解决方案。
在一种示例性实施例中，第二工艺设备的数量可以为一个或多个，例如，两个、三个、四个、五个等。这里，本公开实施例对此不做限定。
在一些示例性的实施例中，上述生产控制方法还可以包括：在上述第二工艺设备的数量为至少两个的情况下，分别基于每个第二工艺设备的当前工艺状态，预测每个上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第四数量；根据所有上述第四数量之和及上述第一数量控制上述第一工艺设备的投料动作。
在一种示例性实施例中，一台第一工艺设备可以对应多台第二工艺设备，例如，一台第一工艺设备可以对应两台第二工艺设备、一台第一工艺设备可以对应三台第二工艺设备、或者一台第一工艺设备可以对应三台第二工艺设备等。这里，本公开实施例对此不做限定。
示例性的，以一台第一工艺设备可以对应两台第二工艺设备为例，如图5所示，一台第一工艺设备可以对应第二工艺设备1和第二工艺设备2，根据 每台第二工艺设备的工艺状态预测每台第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第四数量，可以包括：第二工艺设备1的第四数量N41和第二工艺设备2的第四数量N42，根据第一数量和所有第四数量之和(如可以为N41+N42)控制上述第一工艺设备的投料动作。
在一些示例性的实施例中，上述根据第一数量和所有第四数量之和控制上述第一工艺设备的投料动作，可以包括：在上述第一数量小于或等于上述所有第四数量之和的情况下，控制向上述第一工艺设备投料；或者，在上述第一数量大于上述所有第四数量之和的情况下，暂停向第一工艺设备投料。
示例性的，在第一数量小于或等于所有第四数量之和的情况下，此时第一工艺设备处理的目标材料不足以供多台第二工艺设备中至少一个连续工作，容易造成多台第二工艺设备Idle(空闲)，此时需要控制向第一工艺设备投料，以提供足够的目标材料；而在第一数量大于所有第四数量之和的情况下，此时目标材料可能会在第一工艺设备和多台第二工艺设备中至少一个之间造成产品阻塞，此时控制停止向第一工艺设备投料，避免阻塞加剧，缓解第二工艺设备的工作压力。
如此，本公开实施例提供的生产控制方法，在一台第一工艺设备对应多台第二工艺设备的情况下，通过预测每个上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第四数量，根据所有上述第四数量之和及第一数量的关系控制第一设备的投料动作，实现针对一台第一工艺设备对应多台第二工艺设备的情况，提出了一种更为智能的生产方法。
在一些示例性的实施例中，上述根据上述第一数量和第二数量控制上述第一工艺设备的投料动作，可以包括：在上述第一数量小于或等于上述第二数量的情况下，控制向上述第一工艺设备投料；或，在上述第一数量大于上述第二数量的情况下，暂停向第一工艺设备投料。
示例性的，在第一数量小于或等于第二数量的情况下，此时第一工艺设备处理的目标材料不足以供第二工艺设备连续工作，容易造成第二工艺设备Idle(空闲)，此时需要控制向第一工艺设备投料，以提供足够的目标材料；在第一数量大于第二数量的情况下，此时目标材料可能会在第二工艺设备和第一工艺设备之间造成产品阻塞，此时控制停止向第一工艺设备投料，避免 阻塞加剧，缓解第二工艺设备的工作压力。
本公开实施例提供的生产控制方法，通过第一数量和第二数量之间的关系可以有效地控制第一工艺设备的投料设备，可以保证第二工艺设备有足够的目标材料可供生产避免出现空闲，并且可以避免第一工艺设备和第二工艺设备之间造成产品阻塞，提供了一种更为智能的生产控制方法。
在一些示例性的实施例中，上述第二工艺设备的工艺状态还可以包括：故障状态。
在一些示例性的实施例中，上述生产控制方法还可以包括：在上述工艺状态为故障状态且上述第一数量大于上述第二数量的情况下，将退出上述第一工艺设备的上述目标材料存入暂存区。
示例性的，第二工艺设备还有可能会发生局部故障的情况，造成产能下降，此时第二工艺设备不能马上对经过第一工艺设备处理的目标材料进行处理，此时，可以将目标材料存入暂存区，避免目标材料无序堆积。
如此，本公开实施例提供的生产控制方法，在第二工艺设备发生故障的情况下，为了避免目标材料无序堆积，将已经经过第一工艺设备处理的目标材料放入暂存区存放，为工艺设备出现故障提供了一种备用的解决方案。
在一些示例性的实施例中，CVD(Chemical Vapor Deposition，化学气相沉积)腔室类工艺设备，在工艺处理一定产品后会进行自清洗，所以设备的生产节拍会是波动的。当其进行自清洗时，生产节拍会更慢。而在进行CVD工艺前，还需要进行一段侧搭清洗设备进行工艺。而清洗机的生产节拍却是恒定的，这就会导致在腔室设备进行自清洗的时候，清洗机内就会出现生产阻塞的现象。生产阻塞会使清洗机工艺造成产能损失和良率损失，Glass(玻璃)在清洗机中阻塞时，会进入到清洗机的Buffer(缓冲)，这时清洗机需要将所有正在进行工艺处理的Glass全部生产完以后才能继续投入Glass进行生产，从而导致工艺中断清线时长，非常浪费生产时间；Glass从清洗机生产后未能及时投入CVD腔室类工艺设备，长时间暴露在酸性环境中容易导致其他生产异常问题，引发产品不良(常表现为电性异常)。
示例性的，在如图4所示的工艺系统中，第二工艺设备可以为CVD腔室类工艺设备，第一工艺设备可以为其前处理的清洗机，目标材料可以为进 行工艺处理的Glass。通过第一转运装置(如可以为机器人)可以将暂存区内的Glass投入清洗机进行清洗工艺处理，并将清洗机处理后的Glass投入CVD腔室类工艺设备，Glass在经过清洗机清洗后，再进入CVD腔室类工艺设备进行PECVD(Plasma Enhanced Chemical Vapor Deposition，等离子体增强化学的气相沉积法)工艺处理，在清洗机处理过Glass后需快速将清洗过的Glass送入CVD腔室类工艺设备，以避免微粒对Glass造成污染，而CVD腔室类设备的每个腔室在进行固定数量的工艺后会进行自清洗，导致CVD腔室类设备成为了瓶颈设备，虽然清洗机的产能完全可以满足CVD腔室类设备的产能要求，但是投入清洗机的Glass，需要很长时间后才能流入到CVD腔室类设备，当Glass从清洗机产出时，CVD腔室类设备可能已经完成工艺好几张。也就是说，所有往清洗机投入的Glass，都需要计算预测才能够协调清洗机与CVD腔室类设备间的生产节拍。
为了自动平衡生产节拍，可以找到清洗机和CVD腔室类设备的关联性。如果我们把Glass流看做水流，那么CVD腔室类设备中各个腔室就像是水流的通道。不管每个通道有多大，最后单位时间每段通道水流的总量是相同的。对于Glass而言，这个总量就是CVD腔室类设备的在预设工艺时间内的预计产能。如何把清洗机和CVD腔室类设备的产能关联起来，就是能够数据化控制生产的重点。初步设定目标：从清洗机投入的Glass，产出时刚好能够进入到CVD腔室类设备的某个腔室，也就是某个腔室刚好产出清洗后的Glass能够进入。那么就可以确定预计产能关联的时间段：Glass从投入开始，到产出并进入到CVD腔室类设备的腔室所需要的时间为T(Transfer)。再把产能的关联细化到Glass上，就可以通过控制清洗机的投入节拍来完成达到控制生产节拍的目的。投入到线体中，将没有进入到CVD腔室类设备腔室的Glass张数SUM(线体中已有Glass数量，即第一数量)作为产能关联点，那么CVD腔室类设备从当前时间点开始，在未来T(Transfer)的时间段内，CVD腔室类设备的产能能够生产的Glass张数SUM(CVD腔室类设备需求量，即第二数量)，就是清洗机允许投入的最大数量。即在投入Glass时需要满足N1(线体已有Glass数量，即第一数量)≤N2(CVD需求量，即第二数量)。
在一些示例性的实施例中，CVD腔室类设备能够连续处理的Glass的最 大数量为5，单件工艺额定时长T(Tacktime)为4分钟，维护额定持续时长T(selfClean)为10分钟，维护状态为CVD腔室类设备的自清洗状态，预设工艺时长T(Transfer)为12分钟，即进入清洗到进入CVD类设备一个Glass经历的最短时长为12分钟，CVD腔室类设备的某一状态可以为表1所示：
表1
通过上述实施例介绍的生产控制方法，计算可得腔室1对应N21＝2，腔室3对应N23＝2；腔室4对应N24＝0；腔室5对应N25＝2；腔室2处于PM(Preventive Maitenance，设备定期维修状态)/BM(Broken Machine，设备宕机损坏状态，停止工艺)不参与计算。此时N2＝2+2+0+2＝6，即如果要保 证CVD腔室类设备工艺连续且不会发生产品阻塞要判断N1与6之间的关系，当N1小于6时，则控制向清洗机投入Glass；或者，当N1大于或等于6时，则停止向清洗机投入Glass。
在使用本公开实施例提供的生产控制方法后，Glass不再进入清洗机Buffer(缓存)，不再发生清洗机清线导致主工艺CVD腔室类设备Idle的现象，生产节拍TT从110s降低到92s，整体提升18s，通过分析Glass投入清洗机到开始进行CVD工艺的时间差，如图6所述，纵坐标为生产节拍时间(s)，横坐标分别对应统计生产节拍的五组数据，即最小值、最大值、标准差、平均值和中位数。可见，本公开实施例提供的生产控制方法对于均衡生产产生的效果是很明显的，投入的Glass经过清洗后能够及时的进行主工艺。其中异常的max最大数据是因为部分时段的设备Down机。在不进行生产均衡卡控的情况下，会导致Glass在清洗后可能会等很长的时间才能进行主工艺。图6中的数据从两台相同工艺类型的系统获取，本公开发明人将其中一套系统采用了本公开实施例提供的生产控制方法，而另一套系统没有使用本方法，通过数据可以看出，本公开实施例提供的生产控制方法，可以充分发挥CVD腔室类设备的生产产能，避免发生IDLE，并可以有效地防止清洗机Buffer产生，优化了生产效率，保证了生产质量。
如图7所示，本公开实施例还提供一种生产控制装置，可以包括：
获取单元21，配置为获取第一工艺设备对应的待处理材料的第一数量，其中，上述待处理材料为已经进入上述第一工艺设备且未进入第二工艺设备的目标材料，上述第二工艺设备为上述第一工艺设备的一下道工序的工艺设备；
预测单元22，配置为基于上述第二工艺设备的当前工艺状态，预测上述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，其中，上述工艺状态包括工作状态和维护状态；
例如，上述第二工艺设备在每个工作状态能够处理固定数量的目标材料。
控制单元23，配置为根据上述第一数量和第二数量，控制上述第一工艺设备的投料动作。
如图8所示，本公开实施例还提供一种电子设备300，可以包括存储器 310、处理器320及存储在存储器320上并可在处理器320上运行的计算机程序311，处理器320执行计算机程序311时实现上述一个或多个示例性实施例中的生产控制方法的步骤。
如图9所示，本公开实施例还提供一种非瞬态计算机可读存储介质400，其上存储有计算机程序311，计算机程序311配置为执行上述一个或多个示例性实施例中的生产控制方法。
由于本实施例所介绍的电子设备为实施本公开实施例中一种生产控制装置所采用的设备，故而基于本公开实施例中所介绍的方法，本领域所属技术人员能够了解本实施例的电子设备的具体实施方式以及其各种变化形式，所以在此对于该电子设备如何实现本公开实施例中的方法不再详细介绍，只要本领域所属技术人员实施本公开实施例中的方法所采用的设备，都属于本公开所欲保护的范围。
在一些示例性实施过程中，该计算机程序311配置为执行时可以实现图1对应的实施例中任一实施方式。
在上述实施例中，对不同实施例的描述都有侧重，某个实施例中没有详细描述的部分，可以参见其它实施例的相关描述。
本领域内的技术人员应明白，本公开的实施例可提供为方法、系统、或计算机程序产品。因此，本公开可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本公开可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本公开是参照根据本公开实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式计算机或者其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设 备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
本公开实施例还提供了一种计算机程序产品，该计算机程序产品包括计算机软件指令，当计算机软件指令在处理设备上运行时，使得处理设备执行如图1对应实施例中的生产控制方法的流程。
计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行计算机程序指令时，全部或部分地产生按照本公开实施例的流程或功能。计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一计算机可读存储介质传输，例如，计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(digital subscriber line，DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。计算机可读存储介质可以是计算机能够存储的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，DVD)、或者半导体介质(例如固态硬盘(solid state disk，SSD))等。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本公开所提供的几个实施例中，应该理解到，所揭露的系统，装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统， 或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本公开各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本公开各个实施例方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上实施例仅用以说明本公开的技术方案，而非对其限制；尽管参照前述实施例对本公开进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本公开各实施例技术方案的精神和范围。

Claims (12)

  1. 一种生产控制方法，其特征在于，包括：
    获取第一工艺设备对应的待处理材料的第一数量，其中，所述待处理材料为已经进入所述第一工艺设备且未进入第二工艺设备的目标材料，所述第二工艺设备为所述第一工艺设备的下一道工序的工艺设备；
    基于所述第二工艺设备的当前工艺状态，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，其中，所述工艺状态包括工作状态和维护状态；
    根据所述第一数量和所述第二数量，控制所述第一工艺设备的投料动作。
  2. 如权利要求1所述的方法，其中，所述基于所述第二工艺设备的当前工艺状态，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
    基于所述第二工艺设备对应的单件工艺额定时长、维护前剩余工艺能力和当前件已工艺时长，确定维护前剩余工艺时长，其中，所述维护前剩余工艺能力为所述第二工艺设备在进入维护状态前能够继续处理的目标材料的最大数量；
    根据所述第二工艺设备对应的所述单件工艺额定时长、所述维护前剩余工艺能力、所述当前件已工艺时长和维护额定持续时长，确定维护结束剩余时长；
    根据所述维护前剩余工艺能力、所述维护前剩余工艺时长、所述维护结束剩余时长和所述预设工艺时长，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量。
  3. 如权利要求2所述的方法，其中，所述根据所述维护前剩余工艺能力、所述维护前剩余工艺时长、所述维护结束剩余时长和所述预设工艺时长，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
    在所述维护前剩余工艺能力等于零的情况下，获取所述第二工艺设备对应的已维护时长；
    根据所述预设工艺时长、所述维护额定持续时长、所述已维护时长和所述单件工艺额定时长，计算所述第二数量。
  4. 如权利要求2所述的方法，其中，所述根据所述维护前剩余工艺能力、所述维护前剩余工艺时长、所述维护结束剩余时长和所述预设工艺时长，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
    在所述维护前剩余工艺能力不为零且所述维护前剩余工艺时长大于所述预设工艺时长的情况下，根据所述预设工艺时长、所述单件工艺额定时长和所述当前件已工艺时长，确定所述第二数量。
  5. 如权利要求2所述的方法，其中，所述根据所述维护前剩余工艺能力、所述维护前剩余工艺时长、所述维护结束剩余时长和所述预设工艺时长，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
    在所述维护前剩余工艺能力不为零、所述维护前剩余工艺时长小于所述预设工艺时长且所述维护结束剩余时长大于所述预设工艺时长的情况下，确定所述维护前剩余工艺能力为所述第二数量。
  6. 如权利要求2所述的方法，其中，所述根据所述维护前剩余工艺能力、所述维护前剩余工艺时长、所述维护结束剩余时长和所述预设工艺时长，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
    在所述维护前剩余工艺能力不为零、所述维护前剩余工艺时长小于所述预设工艺时长且所述维护结束剩余时长小于所述预设工艺时长的情况下，根据所述预设工艺时长、所述单件工艺额定时长、所述当前件已工艺时长和所述维护额定持续时长，确定所述第二数量。
  7. 如权利要求1所述的方法，其中，所述基于所述第二工艺设备的当前工艺状态，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，包括：
    在所述第二工艺设备包括至少两个工艺腔室的情况下，分别获取每个腔 室的当前工艺状态；
    根据每个所述工艺腔室的工艺状态和对应的预设工艺时长，确定每个所述工艺腔室在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第三数量；
    将所有所述第三数量的总和作为所述第二工艺设备对应的所述第二数量。
  8. 如权利要求1所述的方法，还包括：
    在所述第二工艺设备的数量为至少两个的情况下，分别基于每个第二工艺设备的当前工艺状态，预测每个所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第四数量；
    根据所有所述第四数量之和及所述第一数量，控制所述第一工艺设备的投料动作。
  9. 如权利要求1所述的方法，其中，所述根据所述第一数量和第二数量，控制所述第一工艺设备的投料动作，包括：
    在所述第一数量小于或等于所述第二数量的情况下，控制向所述第一工艺设备投料；
    或，
    在所述第一数量大于所述第二数量的情况下，暂停向第一工艺设备投料。
  10. 一种生产控制装置，包括：
    获取单元，配置为获取第一工艺设备对应的待处理材料的第一数量，其中，所述待处理材料为已经进入所述第一工艺设备且未进入第二工艺设备的目标材料，所述第二工艺设备为所述第一工艺设备的下一道工序的工艺设备；
    预测单元，配置为基于所述第二工艺设备的当前工艺状态，预测所述第二工艺设备在第一工艺设备对应的预设工艺时长下能够处理的目标材料的第二数量，其中，所述工艺状态包括工作状态和维护状态；
    控制单元，配置为根据所述第一数量和所述第二数量，控制所述第一工艺设备的投料动作。
  11. 一种电子设备，包括：处理器以及存储有可在处理器上运行的计算 机程序的存储器，其中，所述处理器执行所述计算机程序时实现如权利要求1至9中任一项所述的生产控制方法的步骤。
  12. 一种非瞬态计算机可读存储介质，存储有计算机程序，所述计算机程序配置为执行如权利要求1至9中任一项所述的生产控制方法。
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