WO2022133828A1 - 产品质量跟踪方法、装置、计算设备以及存储介质 - Google Patents

产品质量跟踪方法、装置、计算设备以及存储介质 Download PDF

Info

Publication number
WO2022133828A1
WO2022133828A1 PCT/CN2020/138710 CN2020138710W WO2022133828A1 WO 2022133828 A1 WO2022133828 A1 WO 2022133828A1 CN 2020138710 W CN2020138710 W CN 2020138710W WO 2022133828 A1 WO2022133828 A1 WO 2022133828A1
Authority
WO
WIPO (PCT)
Prior art keywords
product
quality
production line
schedule
server
Prior art date
Application number
PCT/CN2020/138710
Other languages
English (en)
French (fr)
Inventor
余明
王琪
袁舟
张跃华
刘奕
Original Assignee
西门子股份公司
西门子（中国）有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 西门子股份公司, 西门子（中国）有限公司 filed Critical 西门子股份公司
Priority to PCT/CN2020/138710 priority Critical patent/WO2022133828A1/zh
Publication of WO2022133828A1 publication Critical patent/WO2022133828A1/zh

Links

Images

Classifications

    • 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

Definitions

  • the present disclosure generally relates to the technical field of digital factories, and more particularly, to a product quality tracking method, apparatus, computing device, and storage medium.
  • Digital factories need to inspect or monitor all processes during production to track product quality and obtain process parameters to support subsequent maintenance operations.
  • the present invention proposes a method for marking a product by using a timing count signal, so that the production process of the product cannot be traced due to heat treatment or chemical treatment damage to the label.
  • a product quality tracking method which includes: when a trigger signal is detected, recording the product serial number of the current product and the start time and end time of the operation; collecting processing parameters and real-time operation data of the current product ; record the recorded product serial number of the current product, the start time and end time of the operation, and the corresponding processing parameters and real-time operation data in the local sequence table; and when receiving a request from the server, record the recorded The local sequence listing is sent to the server.
  • the trigger signal comes from operation data of the workstation or an additionally provided sensor.
  • the operation data of the station can be directly used, otherwise, an additional sensor can be set to detect the trigger signal, so that the The method can be flexibly adapted to different production lines.
  • a wireless channel control device comprising: a wireless environment information receiving unit configured to receive wireless environment information collected from an AP and a WLAN client respectively; a client information receiving unit configured to receiving client information of its associated WLAN client from the AP; and a channel calculation unit configured to calculate a new channel plan based at least on the wireless environment information and the client information.
  • a product quality tracking method comprising: establishing a quality IOT model based on processing equipment and production procedures of a production line; establishing a production line schedule based on the quality IOT model, the schedule
  • the table includes the quality tracking identification assigned to each processed product, and the start time and end time of each process; requests each station and quality gate to send its respective local sequence list to the server; and based on the local sequence list Update the production line schedule.
  • the method further includes: based on the schedule table and the local sequence table, assigning the serial number of the processed product at each work station, the start of each process Times and end times, process parameters, and operational data are mapped with corresponding quality tracking identities.
  • a local product quality tracking device provided at each work station or quality gate, comprising: a timing counting unit configured to record the current product when a trigger signal is detected The serial number and the start time and end time of the operation; the acquisition unit is configured to collect the processing parameters and real-time operation data of the current product; the sequence table recording unit is configured to record the recorded product serial number of the current product, the start time of the operation and The end time and the corresponding processing parameters and real-time operation data are recorded in the local sequence table; and a sending unit is configured to send the recorded local sequence table to the server upon receiving a request from the server.
  • a product quality tracking control device which is provided on a server and includes: an IOT model establishment unit configured to establish a quality IOT model based on processing equipment and production procedures of a production line; a schedule table a construction unit, configured to construct a schedule table of the production line based on the quality IOT model, the schedule table includes a quality tracking identification assigned to each product, and a start time and an end time of each process; a sequence table request unit , configured to request each station and quality gate to send its respective local sequence list to the server; and a schedule update unit configured to update the schedule table of the production line according to the local sequence list.
  • the apparatus further includes: a mapping unit configured to, based on the schedule table and the local sequence table, map the serial number of the product at each station, each The start time and end time of each process, processing parameters and operation data are mapped with the corresponding quality tracking marks.
  • a mapping unit configured to, based on the schedule table and the local sequence table, map the serial number of the product at each station, each The start time and end time of each process, processing parameters and operation data are mapped with the corresponding quality tracking marks.
  • a computing device comprising: at least one processor; and a memory coupled to the at least one processor, the memory for storing instructions, when the instructions are executed by the at least one processor When executed by the processor, the processor is caused to execute the method as described above.
  • a non-transitory machine-readable storage medium storing executable instructions that, when executed, cause the machine to perform the method as described above.
  • a computer program comprising computer-executable instructions which, when executed, cause at least one processor to perform the method as described above.
  • a computer program product tangibly stored on a computer-readable medium and comprising computer-executable instructions that, when executed, cause at least one A processor executes the method as described above.
  • the present invention proposes a low-cost product quality tracking method and device, which is especially suitable for products requiring special surface treatment (which will destroy the label of the product).
  • the method and apparatus according to the present invention have at least one of the following advantages: the method and apparatus according to the present invention use a timed count signal to mark products without the use of optical labels, and there is no possibility of failure of the label due to thermal or chemical damage to the label.
  • the situation of the production process is tracked;
  • the method and device according to the present invention are simple and easy to implement, and the cost is low;
  • the method and device according to the present disclosure utilize the IOT model, which is very flexible and can be easily applied to different application scenarios; the method according to the present disclosure and devices can be easily integrated/setup on existing edge device platforms.
  • FIG. 1 is a schematic diagram of the architecture of a production system to which a product quality tracking solution according to an embodiment of the present invention can be applied;
  • FIG. 2 is a flowchart of an exemplary process of a method for tracking product quality performed at a local workstation according to the first aspect of the embodiment of the present invention
  • FIG. 3 shows a flowchart of an exemplary process of the product quality tracking method according to the second aspect of the embodiment of the present invention
  • FIG. 4 is a block diagram of an exemplary configuration of a local product quality tracking device according to an embodiment of the present invention.
  • FIG. 5 is a block diagram of an exemplary configuration of a product quality tracking control device according to an embodiment of the present invention.
  • Figure 6 shows a production line process diagram of an automobile engine drive shaft
  • FIG. 7 shows a block diagram of a computing device 700 implementing a local product quality tracking apparatus and a product quality tracking control apparatus according to an embodiment of the present disclosure.
  • the production system 101 The starting point of the production line
  • Timing counting unit 404 Acquisition unit
  • Schedule update unit 510 Mapping unit
  • Second wireless information collection unit 504 Re-association unit
  • Process diagram 60 The starting point of the production line
  • the term “including” and variations thereof represent open-ended terms meaning “including but not limited to”.
  • the term “based on” means “based at least in part on”.
  • the terms “one embodiment” and “an embodiment” mean “at least one embodiment.”
  • the term “another embodiment” means “at least one other embodiment.”
  • the terms “first”, “second”, etc. may refer to different or the same objects. Other definitions, whether explicit or implicit, may be included below. The definition of a term is consistent throughout the specification unless the context clearly dictates otherwise.
  • the present invention proposes a product quality tracking method, which uses a timer counter to count each product at each work station, and time the process of the product at the work station. The time for each product to complete different processes is used to track each product, and then, when the product fails, the processing parameters and operating data of the product in each process are determined.
  • FIG. 1 is a schematic structural diagram of a production system 100 to which a product quality tracking solution according to an embodiment of the present invention can be applied.
  • the production system 100 includes a server 109 and workstations and quality gates on the production line.
  • a production management system can be installed on the server 109 to manage the entire production line, such as an MES (Manufacturing Execution System) system.
  • MES Manufacturing Execution System
  • On the production line there are multiple stations (102, 103, 104, 105, 106, 107), and at each station a process is performed on the product to be processed.
  • a product enters the production line from the start point 101 of the production line, passes through each station in turn, performs each process, and finally leaves the production line from the end point 108 of the production line.
  • the quality tracking of each product produced on the production line can be performed.
  • FIG. 2 is a flowchart of an exemplary process of a product quality tracking method 200 performed at a local workstation according to the first aspect of the embodiment of the present invention.
  • step S202 when a trigger signal is detected, the product serial number of the current product and the start time and end time of the operation are recorded.
  • the "operation” here can be a processing operation on a product or a quality inspection operation on a product. If a trigger signal is detected at the station, it means that a product arrives at the station to start processing, and the start time and end time of processing the product are recorded; if a trigger signal is detected at the quality gate, it means that a product has arrived at the quality gate. , and record the start time and end time of testing the product.
  • the trigger signal can be obtained from the operating data inside the work station or the quality gate, or it can be detected by setting up additional sensors.
  • a weight sensor can be provided on the input side and the output side of the station (quality gate), respectively, and the trigger signal of the weight sensor can detect that the product arrives at the station to start processing and leaves the station to stop processing. When receiving the trigger signal of the weight sensor, record the serial number of the current product, and record the start time and end time of processing.
  • step S204 the processing parameters and real-time operation data of the current product are collected.
  • Processing parameters and real-time operation data are production process data related to the current product, and the specific type of data to be collected can be determined according to the needs of product quality tracking. If any quality problems occur later, the cause of the failure can be analyzed based on these production process data. Different products may have different types of processing parameters and operating data, which will not be described in detail here.
  • step S206 the recorded product serial number of the current product, the start time and end time of the operation, and related processing parameters and real-time operation data are recorded in the local sequence table.
  • a local sequence list is maintained.
  • This local sequence list stores the product serial numbers of the products processed (or quality tested at the quality gate) at the work station, and the operation of each product. Start time and end time as well as related processing parameters and real-time operation data. If the product has quality problems through quality inspection, the product serial number and time of the product leaving the quality gate shall be recorded. That is to say, whenever a product arrives at a work station (quality gate), the above steps S202, S204 and S206 will be executed, so that each work station (quality gate) updates the local sequence list in real time.
  • step S208 when a request from the server is received, the recorded local sequence list is sent to the server.
  • the workstation or the quality gate When the workstation or the quality gate receives the request from the server, it will send the local sequence list maintained by it to the server, and the server will analyze and manage it uniformly.
  • FIG. 3 shows a flowchart of an exemplary process of the product quality tracking method 300 according to the second aspect of the embodiment of the present invention.
  • step S302 a quality IOT model is established based on the processing equipment and production procedures of the production line.
  • a quality IOT model can be extracted from a production management system, such as an MES system, of a factory production line.
  • the quality IOT model may include a production line IOT model and a process IOT model.
  • the production line IOT model is used to represent the situation of each station on the production line, such as the relationship model between stations, processing equipment, conveyor belts, drive rollers, sensors, etc.
  • the process IOT model can represent the situation of each process, including The relationship model between the process name, process content, process duration, process parameter data and other information.
  • the quality IOT model of the production line can be constructed by integrating the production line IOT model and the process IOT model.
  • the quality IOT model can also be manually defined by the technician according to the specific situation of the production line, for example, referring to the process design document.
  • the specific manner of establishing the quality IOT model and the specific content of the quality IOT model are not limited in the present invention, and will not be described in detail here.
  • a production line schedule is established based on the quality IOT model.
  • the schedule table mainly includes the Quality Tracking Key (QTK) to be assigned to each processed product, as well as the start time and end time of each process. Initially, the operation time of each operation of each product in the schedule table is blank.
  • QTK Quality Tracking Key
  • step S306 each station and quality gate are requested to send their respective local sequence lists to the server.
  • each work station or quality gate maintains a local sequence table to record the relevant information of the products passing through the work station or quality gate.
  • the server may poll each station and quality gate, each station and quality gate in turn sending its respective local sequence listing to the server.
  • step S308 the server updates the schedule table of the production line according to the local sequence table.
  • the server can determine the processing time of a product in each process of the entire production line according to the local sequence list of each station or quality gate.
  • the processing time of each product at each station is pushed back from the exit of the production line. If all the products come out from the exit of the production line, that is, there is no quality problem in the product and the When the quality gate leaves the production line, then the serial number of each product at the last station of the production line is the serial number of each station in the entire production line, through which the processing time of the product at each station can be tracked; and If a product leaves the production line from the quality gate, the server will update the schedule table by adjusting the serial number of each product according to the sequence table received from the quality gate, ensuring that the processing of each product at each station is accurately recorded in the schedule table time.
  • the current station is the first station of the production line
  • the number of products processed in the current batch the number counted by the station counter + the number of buffers
  • the server detects the quality gate count before the current station
  • the server can also check whether the QTK allocated to the product in the schedule table has errors according to the above rules. If there are errors, it can check each local sequence table to modify the schedule table.
  • the method 300 may further include step S310, based on the schedule table and the local sequence table, the serial number of the processed product at each station, the start time and end time of each process, and the processing parameters And operational data is mapped with QTK (Quality Tracking Mark).
  • QTK Quadrature Tracking Mark
  • the QTK determined for each processed product can be printed on the product, and the QTK can determine the start time and end time of each process of the product, as well as the corresponding processing parameters and real-time operation data. In this way, the quality tracking of each product can be carried out.
  • an embodiment of the present invention further provides a local product quality tracking device, and the device is arranged at each work station or quality gate.
  • FIG. 4 is a block diagram of an exemplary configuration of a local product quality tracking apparatus 400 according to an embodiment of the present invention.
  • the apparatus 400 includes a timing counting unit 402 , a collecting unit 404 , a sequence table recording unit 406 and a sending unit 408 .
  • the timing counting unit 402 is configured to record the product serial number of the current product and the start time and end time of the operation when the trigger signal is detected.
  • the collection unit 404 is configured to collect processing parameters and real-time operational data of the current product.
  • the sequence table recording unit 406 is configured to record the recorded product serial number of the current product, the start time and end time of the operation, and the corresponding processing parameters and real-time operation data in the local sequence table.
  • the sending unit 408 is configured to send the recorded local sequence list to the server when a request is received from the server.
  • FIG. 5 is a block diagram of an exemplary configuration of a product quality tracking control apparatus 500 according to an embodiment of the present invention.
  • the apparatus 500 includes an IOT model building unit 502 , a schedule table building unit 504 , a sequence table request unit 506 and a schedule table update unit 508 .
  • the IOT model building unit 502 is configured to build a quality IOT model based on the processing equipment and production procedures of the production line.
  • the schedule building unit 504 is configured to build a schedule of the production line based on the quality IOT model, the schedule including the quality tracking identification of each processed product, and the start time and end time of each process.
  • the sequence listing request unit 506 is configured to request each station and quality gate to send its respective local sequence listing to the server.
  • the schedule update unit 508 is configured to update the schedule of the production line according to the local sequence list.
  • the product quality tracking control device 500 further includes a mapping unit 510, which is configured to map, based on the schedule table and the local sequence table, the serial number of the product at each station, the start of each process Start and end times, process parameters, and operational data are mapped with corresponding quality tracking identifiers.
  • a mapping unit 510 which is configured to map, based on the schedule table and the local sequence table, the serial number of the product at each station, the start of each process Start and end times, process parameters, and operational data are mapped with corresponding quality tracking identifiers.
  • the local product quality tracking device 400 is arranged at each work station and the quality gate of the production line, and the product quality tracking control device 500 is arranged on the server, and is respectively used to execute the corresponding steps of the above method embodiments,
  • the details of the operations and functions of the various parts of the local product quality tracking device 400 and the product quality tracking control device 500 may be the same or similar to the relevant parts of the embodiments of the product quality tracking methods 200 and 300 of the present invention described with reference to FIGS. 2-3 . , which will not be described in detail here.
  • the production process of the engine drive shaft includes grinding, chemical cleaning, etc. If a QR code is printed on the surface of a product to track the manufacturing process before processing begins, the QR code may be damaged during processing.
  • FIG. 6 shows a production line process diagram 600 of a drive shaft for an automotive engine in an MES system.
  • the drive shaft enters the production line from the starting point 60 of the production line.
  • the production line includes the following processes: normalizing 601, turning 602, drilling 603, hobbing 604, degreasing 605, rinsing 606, drying 607, laser hardening 608, grinding 609, etc.
  • Each station performs one process, and after all processes are completed, the drive shaft leaves the line at the end 610 of the line.
  • the production line shown in Figure 6 also includes 3 quality gates QG1, QG2 and QG3, and the quality gates perform quality inspection on products.
  • a local product quality tracking device is installed at each station and quality gate.
  • Table 1 below shows the process of the drive shaft as described in the process design document.
  • the technician can generate the process IOT model of the transmission shaft based on the information of the production process recorded in the process design document, and then combine the information about the production equipment and production process of the production line in the MES system to generate the quality IOT model.
  • a production line schedule can be constructed as shown in Table 2 below.
  • QTK is the quality tracking mark assigned to each product
  • the schedule table records the start time and end time of each process of each product.
  • the time in the schedule is blank.
  • the server requests each station and the quality gate in turn to send their respective local sequence list to the server.
  • the local sequence list of each station records the time information of the process performed by the product at the station.
  • the serial number and time information of the recorded products are used to continuously update the schedule table in the server.
  • the schedule shown in Table 2 only shows a part of the manufacturing process of the transmission shaft, and the QTK and time information in it are only examples.
  • the processing time of each product at each station is pushed back from the outlet of the production line. If all the products come out from the outlet of the production line, that is, there is no product quality problem. And from the quality gate, the serial number of each product leaving the production line is the serial number of each station in the entire production line. The operation time of the product at each station and the corresponding QTK of the product can be determined according to the serial number. ; And if a product leaves the production line from the quality gate, the server will adjust the serial number of the product according to the sequence table received from the quality gate.
  • a QTK can be printed on each drive shaft.
  • the corresponding processing parameters and real-time operation data of each product during processing in each process are recorded in the local sequence table. If you want to track the production process of a product, you can use the QTK printed on the product to determine the processing time of each process and the corresponding processing parameters and operation data. Furthermore, if a product fails, the process or the cause of the failure can be determined according to its processing parameters and operation data.
  • the present invention proposes a low-cost product quality tracking method and device, which is especially suitable for products requiring special surface treatment (which will destroy the label of the product).
  • the method and apparatus according to the present invention have at least one of the following advantages:
  • the method and device according to the present invention use timing counting signals to mark products without using optical labels, and there is no situation in which the production process cannot be traced due to heat treatment or chemical treatment damage to the labels;
  • the method and device according to the present invention are simple and easy to implement, and the cost is low;
  • the method and device according to the present disclosure utilize the IOT model, which is very flexible and can be easily applied to different application scenarios;
  • the method and apparatus according to the present disclosure can be easily integrated/disposed on an existing edge device platform.
  • Each unit of the above-mentioned local product quality tracking device and product quality tracking control device may be implemented by hardware, or may be implemented by software or a combination of hardware and software.
  • FIG. 7 shows a block diagram of a computing device 700 implementing a local product quality tracking apparatus and a product quality tracking control apparatus according to an embodiment of the present disclosure.
  • computing device 700 may include at least one processor 702 that executes at least one computer-readable instruction (ie, the above-described in software) stored or encoded in a computer-readable storage medium (ie, memory 704 ) implemented elements).
  • a non-transitory machine-readable medium may have machine-executable instructions (ie, the above-described elements implemented in software) that, when executed by a machine, cause the machine to perform various embodiments of the present disclosure above in conjunction with FIGS. 1-6 Various operations and functions are described.
  • a computer program comprising computer-executable instructions that, when executed, cause at least one processor to perform each of the various embodiments of the present disclosure described above in connection with FIGS. 1-6 operations and functions.
  • a computer program product comprising computer-executable instructions that, when executed, cause at least one processor to perform the various embodiments of the present disclosure described above in connection with FIGS. 1-6 Various operations and functions.
  • the device structure described in the above embodiments may be a physical structure or a logical structure, that is, some units may be implemented by the same physical entity, or some units may be implemented by multiple physical entities respectively, or may be implemented by multiple physical entities. Some components in separate devices are implemented together.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Factory Administration (AREA)

Abstract

产品质量跟踪方法、装置、计算设备以及存储介质。产品质量跟踪方法包括：在检测到触发信号时，记录当前产品的产品序号以及操作的开始时间和结束时间；采集当前产品的加工参数和实时操作数据；将所记录的当前产品的产品序号、操作的开始时间和结束时间以及相应的加工参数和实时操作数据记录在本地序列表中；以及在接收到来自服务器的请求时，将所记录的所述本地序列表发送给所述服务器。

Description

产品质量跟踪方法、装置、计算设备以及存储介质 技术领域
本公开通常涉及数字化工厂技术领域，更具体地，涉及产品质量跟踪方法、装置、计算设备以及存储介质。
背景技术
数字工厂需要检测或监控在生产期间的所有工序，来追踪产品质量，并且获得工序参数来支持之后的维护操作。
目前在生产过程中，产品通常用光学标签(条形码、QR码)或RFID标签进行标记，来识别和追踪生产过程的所有阶段。但是对于某些产品，这样的标签不可行，因为对产产品进行的表面处理，例如进行化学处理或者热处理的情况会损坏标签。在这些过程中，无法在零件表面安装或者打印条形码/矩阵码。因此，无法跟踪/追踪生产过程来确定发生质量故障的原因。
到目前为止，现有技术中没有替代的方法来对产品进行标记。在批量生产这些产品时，针对统一批次的产品，都会使用相同的参数，这样无法追踪产品的特定操作数据。例如，在汽车工业中，如果发现一个部件存在故障，则要召回这一批次的所有产品。
发明内容
在下文中给出关于本发明的简要概述，以便提供关于本发明的某些方面的基本理解。应当理解，这个概述并不是关于本发明的穷举性概述。它并不是意图确定本发明的关键或重要部分，也不是意图限定本发明的范围。其目的仅仅是以简化的形式给出某些概念，以此作为稍后论述的更详细描述的前序。
有鉴于此，本发明提出了一种采用定时计数信号对产品进行标记的方法，不会出现由于热处理或者化学处理损坏标签而无法追踪产品的生产过程的情况。
根据本公开的一个方面，提供了一种产品质量跟踪方法，包括：在检测到触发信号时，记录当前产品的产品序号以及操作的开始时间和结束时间；采集当前产品的加工参数和实时操作数据；将所记录的当前产品的产品序号、操作的开始时间和结束时间以及 相应的加工参数和实时操作数据记录在本地序列表中；以及在接收到来自服务器的请求时，将所记录的所述本地序列表发送给所述服务器。
通过这样的方式，采用定时计数信号对产品进行标记，而无需采用光学标签，不会出现由于热处理或者化学处理损坏标签而无法追踪生产过程的情况。
可选地，在上述方面的一个示例中，所述触发信号来自于工位的操作数据或者额外设置的传感器。
通过这样的方式，在通过工位本身的操作数据可以检测到待加工产品的到来的情况下，可以直接使用工位的操作数据，否则，则可以额外设置传感器来检测触发信号，使得本发明的方法可以灵活地适应不同的生产线。
根据本公开的另一方面，提供了无线信道控制装置，包括：无线环境信息接收单元，被配置为从AP和WLAN客户端分别接收各自采集的无线环境信息；客户端信息接收单元，被配置为从所述AP接收其关联的WLAN客户端的客户端信息；以及信道计算单元，被配置为至少基于所述无线环境信息和所述客户端信息计算新的信道规划。
根据本公开的另一方面，提供了一种产品质量跟踪方法，包括：基于生产线的加工设备和生产工序来建立质量IOT模型；基于所述质量IOT模型建立生产线的排程表，所述排程表包括分配给每一个加工产品的质量跟踪标识、以及每个工序的开始时间和结束时间；请求每个工位和质量门向服务器发送其各自的本地序列表；以及根据所述本地序列表来更新生产线的排程表。
可选地，在上述方面的一个示例中，所述方法还包括：基于所述排程表和所述本地序列表，将所述加工产品在每个工位的序号、每个工序的起始时间和结束时间、加工参数以及操作数据与对应的质量跟踪标识进行映射。
根据本公开的另一方面，提供了一种本地产品质量跟踪装置，设置在每一个工位或者质量门处，包括：定时计数单元，被配置为在检测到触发信号时，记录当前产品的产品序号以及操作的开始时间和结束时间；采集单元，被配置为采集当前产品的加工参数和实时操作数据；序列表记录单元，被配置为将所记录的当前产品的产品序号、操作的开始时间和结束时间以及相应的加工参数和实时操作数据记录在本地序列表中；以及发送单元，被配置为在接收到来自服务器的请求时，将所记录的所述本地序列表发送给所述服务器。
根据本公开的另一方面，提供了一种产品质量跟踪控制装置，设置在服务器上，包括：IOT模型建立单元，被配置为基于生产线的加工设备和生产工序来建立质量IOT模 型；排程表构建单元，被配置为基于所述质量IOT模型构建生产线的排程表，所述排程表包括分配给每一个产品的质量跟踪标识、以及每个工序的开始时间和结束时间；序列表请求单元，被配置为请求每个工位和质量门向服务器发送其各自的本地序列表；以及排程表更新单元，被配置为根据所述本地序列表来更新所述生产线的排程表。
可选地，在上述方面的一个示例中，所述装置还包括：映射单元，被配置为基于所述排程表和所述本地序列表，将所述产品在每个工位的序号、每个工序的起始时间和结束时间、加工参数以及操作数据与对应的质量跟踪标识进行映射。
根据本公开的另一方面，提供了计算设备，包括：至少一个处理器；以及与所述至少一个处理器耦合的一个存储器，所述存储器用于存储指令，当所述指令被所述至少一个处理器执行时，使得所述处理器执行如上所述的方法。
根据本公开的另一方面，提供了一种非暂时性机器可读存储介质，其存储有可执行指令，所述指令当被执行时使得所述机器执行如上所述的方法。
根据本公开的另一方面，提供了一种计算机程序，包括计算机可执行指令，所述计算机可执行指令在被执行时使至少一个处理器执行如上所述的方法。
根据本公开的另一方面，提供了一种计算机程序产品，所述计算机程序产品被有形地存储在计算机可读介质上并且包括计算机可执行指令，所述计算机可执行指令在被执行时使至少一个处理器执行如上所述的方法。
本发明提出了一种低成本的产品质量跟踪方法和装置，尤其适合于需要特殊表面处理(会破坏产品的标签)的产品。根据本发明的方法和装置具有以下优势中的至少一项：根据本发明的方法和装置采用定时计数信号对产品进行标记，而无需采用光学标签，不会出现由于热处理或者化学处理损坏标签而无法追踪生产过程的情况；根据本发明的方法和装置简单易行，成本较低；根据本公开的方法和装置利用IOT模型，非常灵活，可以方便地应用于不同的应用场景；根据本公开的方法和装置可以方便地集成/设置在现有的边缘设备平台上。
附图说明
参照下面结合附图对本发明实施例的说明，会更加容易地理解本发明的以上和其它目的、特点和优点。附图中的部件只是为了示出本发明的原理。在附图中，相同的或类似的技术特征或部件将采用相同或类似的附图标记来表示。附图中：
图1为可以应用本发明实施例的产品质量跟踪方案的生产系统的架构示意图；
图2为根据本发明实施例第一方面在本地工位所执行的产品质量跟踪方法的示例性过程的流程图；
图3示出了根据本发明实施例第二方面的产品质量跟踪方法的示例性过程的流程图；
图4为根据本发明实施例的本地产品质量跟踪装置的示例性配置的框图；
图5为根据本发明实施例的产品质量跟踪控制装置的示例性配置的框图；
图6示出了汽车发动机传动轴的生产线工序图；以及
图7示出了根据本公开的实施例的实现本地产品质量跟踪装置和产品质量跟踪控制装置的计算设备700的方框图。
其中，附图标记如下：
100：生产系统                      101：生产线的起点
102、103、104、105、106、107：工位 QG1、QG2、QG3：质量门
108：生产线的终点                  200、300：产品质量跟踪方法
S202、S204、S206、S208、S302、S304、400：本地产品质量跟踪装置
S306、S308、S310：步骤
402：定时计数单元                  404：采集单元
406：序列表记录单元                408：发送单元
500：产品质量跟踪控制装置          502：IOT模型建立单元
504：排程表构建单元                506：序列表请求单元
508：排程表更新单元                510：映射单元
502：第二无线信息采集单元          504：重新关联单元
600：工序图                        60：生产线的起点
601：正火                          602：车削
603：钻孔                          604：滚齿
605：脱脂                          606：漂洗
607：烘干                          608：激光硬化处理
609：打磨                          610：生产线的终点
700：计算设备                      702：处理器
704：存储器
具体实施方式
现在将参考示例实施方式讨论本文描述的主题。应该理解，讨论这些实施方式只是为了使得本领域技术人员能够更好地理解从而实现本文描述的主题，并非是对权利要求书中所阐述的保护范围、适用性或者示例的限制。可以在不脱离本公开内容的保护范围的情况下，对所讨论的元素的功能和排列进行改变。各个示例可以根据需要，省略、替代或者添加各种过程或组件。例如，所描述的方法可以按照与所描述的顺序不同的顺序来执行，以及各个步骤可以被添加、省略或者组合。另外，相对一些示例所描述的特征在其它例子中也可以进行组合。
如本文中使用的，术语“包括”及其变型表示开放的术语，含义是“包括但不限于”。术语“基于”表示“至少部分地基于”。术语“一个实施例”和“一实施例”表示“至少一个实施例”。术语“另一个实施例”表示“至少一个其他实施例”。术语“第一”、“第二”等可以指代不同的或相同的对象。下面可以包括其他的定义，无论是明确的还是隐含的。除非上下文中明确地指明，否则一个术语的定义在整个说明书中是一致的。
为了解决上述问题，本发明提出了一种产品质量跟踪方法，利用定时器计数器对每一个工位处的每一个产品进行计数，并且对产品在该工位处进行的工序进行计时，通过记录的每一个产品完成不同工序的时间，来对每一个产品进行跟踪，进而，在产品出现故障的时候，确定该产品在各个工序的加工参数和操作数据。
下面将结合附图来描述根据本公开的实施例的产品质量跟踪方法和装置。
图1为可以应用本发明实施例的产品质量跟踪方案的生产系统100的架构示意图。如图1所示，生产系统100包括服务器109和生产线上的工位和质量门。
服务器109上可以安装生产管理系统对整个生产线进行管理，例如MES(Manufacturing Execution System)系统。在生产线上，有多个工位(102、103、104、105、106、107)，在每个工位处对待加工产品执行一项工序。一个产品从生产线的起点101进入生产线，依次经过每一个工位，执行每一项工序，最后从生产线的终点108离开生产线。生产线中还设置有若干质量门QG1、QG2、QG3，当产品到达质量门时，会对产品的质量进行检测，如果发现产品存在缺陷，则会从质量门离开生产线。
通过在生产系统100中应用根据本发明的产品质量跟踪方案，可以对生产线上生产的每一个产品进行质量跟踪。
根据本发明的产品质量跟踪方案涉及本地工位和服务器两个方面。图2为根据本发明实施例第一方面在本地工位所执行的产品质量跟踪方法200的示例性过程的流程图。
首先，在步骤S202中，在检测到触发信号时，记录当前产品的产品序号以及操作的开始时间和结束时间。
此处“操作”可以是对产品的加工操作或者对产品的质量检测操作。如果在工位处检测到触发信号，表示有产品到达该工位开始进行加工，记录对产品进行加工的开始时间和结束时间；如果在质量门处检测到触发信号，则说明有产品到达质量门，记录对产品进行检测的开始时间和结束时间。触发信号可以通过工位或者质量门内部的操作数据而得到，也可以通过设置额外的传感器进行检测。例如，可以在工位(质量门)的输入侧和输出侧分别设置一个重量传感器，通过该重量传感器的触发信号可以检测到产品到达该工位开始加工以及离开工位停止加工。在接收到重量传感器的触发信号时，记录当前产品的序号，并且记录加工的开始时间和结束时间。
根据本发明实施例的产品质量跟踪方法200，在工位和质量门处执行类似的操作，下面针对工位描述的操作过程也适用于质量门。
在步骤S204中，采集当前产品的加工参数和实时操作数据。
加工参数和实时操作数据是与当前产品有关的生产过程数据，可以根据对产品进行质量跟踪的需要来确定所要采集的数据的具体类型。如果以后发生任何质量问题，可以基于这些生产过程数据来分析出现故障的原因。不同的产品可以具有不同类型的加工参数和操作数据，在此不再详述。
接下来，在步骤S206中，将所记录的当前产品的产品序号、操作的开始时间和结束时间以及相关的加工参数和实时操作数据记录在本地序列表中。
在每一个工位或者质量门处，都维护一张本地序列表，这个本地序列表存储在该工位处所加工(或者在质量门处进行质量检测)的产品的产品序号、每一个产品的操作开始时间和结束时间以及相关的加工参数和实时操作数据，如果通过质量检测发现产品有质量问题，则要记录从质量门离开的产品的产品序号和时间。也就是说，每当有一个产品到达一个工位(质量门)，就会执行上述步骤S202、S204和S206，从而每一个工位(质量门)都实时更新本地序列表。
在步骤S208中，在接收到来自服务器的请求时，将所记录的所述本地序列表发送给所述服务器。
工位或者质量门在接收到服务器的请求时，会将其维护的本地序列表发送给服务器，由服务器统一分析管理。
接下来，将说明根据本发明实施例第二方面在服务器端执行的产品质量跟踪方法。图3 示出了根据本发明实施例第二方面的产品质量跟踪方法300的示例性过程的流程图。
在步骤S302中，基于生产线的加工设备和生产工序来建立质量IOT模型。
不同产品的生产线包括不同的加工设备、完成各自不同的工序，在根据本公开实施例的方法中，首先要基于生产线的加工设备和生产工序来建立质量IOT模型。
在一个示例中，可以从工厂生产线的生产管理系统，例如MES系统中提取质量IOT模型。具体地，质量IOT模型可以包括生产线IOT模型和工序IOT模型。例如，生产线IOT模型用于表示生产线上的每个工位的情况，例如工位、加工设备、传送带、驱动辊、传感器等之间的关系模型；工序IOT模型可以表示每个工序的情况，包括工序名称、工序内容、工序持续时间、工序参数数据等信息之间的关系模型。将生产线IOT模型和工序IOT模型集成到一起，可以构建生产线的质量IOT模型。
在另一个示例中，也可以由技术人员根据生产线的具体情况，例如参考工序设计文档等，来手工定义质量IOT模型。在本发明中对于建立质量IOT模型的具体方式以及质量IOT模型的具体内容不做限定，在此不再详述。
接下来，在步骤S304中，基于所述质量IOT模型建立生产线的排程表。在排程表中主要包括要分配给每一个加工产品的质量跟踪标识(Quality Tracking Key，QTK)、以及每个工序的开始时间和结束时间。初始的时候，排程表中每个产品的各个工序的操作时间是空白的。
在步骤S306中，请求每个工位和质量门向服务器发送其各自的本地序列表。
上面已经说明了，每一个工位或者质量门，都维护一张本地序列表，记录经过该工位或质量门的产品的相关信息。在一个示例中，服务器可以对每个工位和质量门进行轮询，各个工位和质量门依次将其各自的本地序列表发送至服务器。
最后，在步骤S308中，服务器根据所述本地序列表来更新生产线的排程表。
服务器根据每一个工位或质量门的本地序列表，可以确定一个产品在整个生产线的各个工序的加工时间。
具体地，在本发明的方法中，是从生产线的出口开始倒推每一个产品在每一个工位处的加工时间，如果所有产品都是从生产线的出口出来，即没有产品出现质量问题而从质量门离开生产线，那么每一个产品在生产线的最后一个工位的序号，即为它在整个生产线中每个工位的序号，通过该序号可以追踪该产品在每一个工位的加工时间；而如果有产品从质量门离开生产线，那么服务器会根据从质量门接收到序列表调整每个产品的序号来更新排程表，确保在排程表中准确记录每个产品在每个工位的加工时间。
下面是为产品生成QTK的一个示例性规则。
如果：当前工位是生产线的第一个工位，
则：当前批次处理的产品的数量＝工位计数器计数的数量+缓冲区的数量，
为每一个已计数的产品生成QTK,
如果：工位计数器数量＝当前批次产品的数量
则要改变QTK的生成规则；
否则：
For(循环检测所有剩下的工位)
如果：当前工位计数器的计数＝其后工位的计数+缓冲区的数量
则：检测计数器是否被激活
如果：计数器被激活，
则：工位计数器的计数+1
检测定时计数器是否超过预设的时间间隔最大值
如果：超过时间间隔最大值
则：向服务器发送警报
服务器检测当前工位之前的质量门计数
如果：原质量门计数+1
则：解除警报，并发送对应的QTK给质量门，来标注产品。
否则：发送产品质量跟踪方法可能出现故障的警报
可以看到，服务器还可以按照上述规则来检查排程表中给产品分配的QTK是否有错误，如果有错误，则可以检查每一个本地序列表，来修改排程表。
在一个示例中，方法300还可以包括步骤S310，基于所述排程表和所述本地序列表，将加工产品在每个工位的序号、每个工序的起始时间和结束时间、加工参数以及操作数据与QTK(质量跟踪标识)进行映射。
在生产线的出口，可以将针对每一个加工产品所确定的QTK打印在产品上，通过该QTK可以确定该产品的每一个工序的开始时间、结束时间，以及相应的加工参数和实时操作数据。通过这样的方式可以对每一个产品进行质量跟踪。
与第一方面对应，本发明实施例还提供一种本地产品质量跟踪装置，该装置设置在 每一个工位或者质量门处。图4为根据本发明实施例的本地产品质量跟踪装置400的示例性配置的框图。
如图4所示，装置400包括定时计数单元402、采集单元404、序列表记录单元406以及发送单元408。
其中，定时计数单元402被配置为在检测到触发信号时，记录当前产品的产品序号以及操作的开始时间和结束时间。
采集单元404被配置为采集当前产品的加工参数和实时操作数据。
序列表记录单元406被配置为将所记录的当前产品的产品序号、操作的开始时间和结束时间以及相应的加工参数和实时操作数据记录在本地序列表中。
发送单元408被配置为在接收到来自服务器的请求时，将所记录的所述本地序列表发送给所述服务器。
与第二方面对应，本发明实施例还提供一种产品质量跟踪控制装置，产品质量跟踪控制装置设置在服务器中。图5为根据本发明实施例的产品质量跟踪控制装置500的示例性配置的框图。如图5所示，装置500包括IOT模型建立单元502、排程表构建单元504、序列表请求单元506以及排程表更新单元508。
IOT模型建立单元502，被配置为基于生产线的加工设备和生产工序来建立质量IOT模型。
排程表构建单元504被配置为基于所述质量IOT模型建立生产线的排程表，所述排程表包括每一个加工产品的质量跟踪标识、以及每个工序的开始时间和结束时间。
序列表请求单元506被配置为请求每个工位和质量门向服务器发送其各自的本地序列表。
排程表更新单元508被配置为根据所述本地序列表来更新生产线的排程表。
在一个示例中，产品质量跟踪控制装置500还包括映射单元510，被配置为基于所述排程表和所述本地序列表，将所述产品在每个工位的序号、每个工序的起始时间和结束时间、加工参数以及操作数据与对应的质量跟踪标识进行映射。
在本发明的实施例中，本地产品质量跟踪装置400设置在生产线的各个工位和质量门处，产品质量跟踪控制装置500设置在服务器上，分别用于执行上述方法实施例相应的各个步骤，本地产品质量跟踪装置400和产品质量跟踪控制装置500的各个部分的操作和功能的细节可以与参照图2-3描述的本发明的产品质量跟踪方法200和300的实施 例的相关部分相同或类似，这里不再详细描述。
下面针对发动机传动轴的制造生产线来说明采用根据本发明的方法来实现产品质量跟踪的一个具体示例。
发动机传动轴的生产工序中包括打磨、化学剂清洗等。如果在开始加工之前就在产品表面打印QR码来跟踪制造过程，在加工过程中，这个QR码可能会收到损坏。
图6示出了在MES系统中汽车发动机的传动轴的生产线工序图600。传动轴从生产线的起点60进入生产线，生产线包括以下工序：正火601、车削602、钻孔603、滚齿604、脱脂605、漂洗606、烘干607、激光硬化处理608、打磨609等，在每个工位执行一种工序，在完成了所有工序之后，传动轴从生产线的终点610离开生产线。此外，在图6所示的生产线上，还包括3个质量门QG1、QG2和QG3，质量门对产品进行质量检测。每个工位和质量门都设置一个本地产品质量跟踪装置。
下面的表1示出了在工序设计文档中所描述的传动轴的工序。
Figure PCTCN2020138710-appb-000001
表1
技术人员可以基于工序设计文档中记载的生产工序的信息生成传动轴的工序IOT模型，再结合MES系统中关于生产线的生产设备和生产工序的信息，生成质量IOT模型。
根据质量IOT模型，可以构建如下面表2所示的生产线的排程表。其中，QTK是分配给每一个产品的质量跟踪标识，排程表中记录了每个产品的各个工序的开始时间和结束时间。
Figure PCTCN2020138710-appb-000002
Figure PCTCN2020138710-appb-000003
表2
初始，排程表中的时间是空白。服务器依次请求每个工位和质量门向服务器发送其各自的本地序列表，每个工位的本地序列表记录了产品在该工位所执行的工序的时间信息，服务器可以根据本地序列表中所记录的产品的序号和时间信息来持续更新服务器中的排程表。表2所示的排程表，仅示出了制造传动轴的一部分工序，其中的QTK和时间信息也只是举例说明。
如前所述，在本发明的方法中，是从生产线的出口处倒推每一个产品在每一个工位处的加工时间，如果所有产品都是从生产线的出口出来，即没有产品出现质量问题而从质量门出去，那么每一个产品离开生产线的序号，即为它在整个生产线中每个工位的序号，可以根据该序号来确定产品在每个工位的操作时间以及该产品对应的QTK；而如果有产品从质量门离开生产线，那么服务器会根据从质量门接收到序列表来调整产品的序号。
在利用根据本发明的方法确定了给每个传动轴分配的QTK之后，在生产线的出口，可以给每个传动轴上打印一个QTK。如上所述，在本地序列表中记录有每个产品在各个工序进行加工时相应的加工参数和实时操作数据。如果想要跟踪某个产品的生产过程，则可以通过产品上打印的QTK来确定其进行各个工序的加工时间以及对应的加工参数和操作数据。进而，如果某个产品出现故障，则可以根据其加工参数和操作数据来确定出现故障的工序或者故障原因等。
本发明提出了一种低成本的产品质量跟踪方法和装置，尤其适合于需要特殊表面处理(会破坏产品的标签)的产品。根据本发明的方法和装置具有以下优势中的至少一项：
根据本发明的方法和装置采用定时计数信号对产品进行标记，而无需采用光学标签，不会出现由于热处理或者化学处理损坏标签而无法追踪生产过程的情况；
根据本发明的方法和装置简单易行，成本较低；
根据本公开的方法和装置利用IOT模型，非常灵活，可以方便地应用于不同的应用场景；
根据本公开的方法和装置可以方便地集成/设置在现有的边缘设备平台上。
如上参照图1至图6，对根据本公开的实施例的产品质量跟踪方法和装置进行了描述。以上所述的本地产品质量跟踪装置和产品质量跟踪控制装置的各个单元可以采用硬件实现，也可以采用软件或者硬件和软件的组合来实现。
图7示出了根据本公开的实施例的实现本地产品质量跟踪装置和产品质量跟踪控制装置的计算设备700的方框图。根据一个实施例，计算设备700可以包括至少一个处理器702，处理器702执行在计算机可读存储介质(即，存储器704)中存储或编码的至少一个计算机可读指令(即，上述以软件形式实现的元素)。
应该理解，在存储器704中存储的计算机可执行指令当执行时使得至少一个处理器702进行本公开的各个实施例中以上结合图1-6描述的各种操作和功能。
根据一个实施例，提供了一种非暂时性机器可读介质。该非暂时性机器可读介质可以具有机器可执行指令(即，上述以软件形式实现的元素)，该指令当被机器执行时，使得机器执行本公开的各个实施例中以上结合图1-6描述的各种操作和功能。
根据一个实施例，提供了一种计算机程序，包括计算机可执行指令，所述计算机可执行指令在被执行时使至少一个处理器执行本公开的各个实施例中以上结合图1-6描述的各种操作和功能。
根据一个实施例，提供了一种计算机程序产品，包括计算机可执行指令，所述计算机可执行指令在被执行时使至少一个处理器执行本公开的各个实施例中以上结合图1-6描述的各种操作和功能。
应当理解的是，本说明书中的各个实施例均采用递进的方式来描述，各个实施例之间相同或相似的部分相互参见即可，每个实施例重点说明的都是与其它实施例的不同之处。例如，对于上述关于装置的实施例、关于计算设备的实施例以及关于机器可读存储介质的实施例而言，由于它们基本相似于方法实施例，所以描述的比较简单，相关之处参见方法实施例的部分说明即可。
上文对本说明书特定实施例进行了描述。其它实施例在所附权利要求书的范围内。在一些情况下，在权利要求书中记载的动作或步骤可以按照不同于实施例中的顺序来执行并且仍然可以实现期望的结果。另外，在附图中描绘的过程不一定要求示出的特定顺序或者连续顺序才能实现期望的结果。在某些实施方式中，多任务处理和并行处理也是可以的或者可能是有利的。
上述各流程和各系统结构图中不是所有的步骤和单元都是必须的，可以根据实际的需要忽略某些步骤或单元。上述各实施例中描述的装置结构可以是物理结构，也可以是 逻辑结构，即，有些单元可能由同一物理实体实现，或者，有些单元可能分别由多个物理实体实现，或者，可以由多个独立设备中的某些部件共同实现。
上面结合附图阐述的具体实施方式描述了示例性实施例，但并不表示可以实现的或者落入权利要求书的保护范围的所有实施例。在整个本说明书中使用的术语“示例性”意味着“用作示例、实例或例示”，并不意味着比其它实施例“优选”或“具有优势”。出于提供对所描述技术的理解的目的，具体实施方式包括具体细节。然而，可以在没有这些具体细节的情况下实施这些技术。在一些实例中，为了避免对所描述的实施例的概念造成难以理解，公知的结构和装置以框图形式示出。
本公开内容的上述描述被提供来使得本领域任何普通技术人员能够实现或者使用本公开内容。对于本领域普通技术人员来说，对本公开内容进行的各种修改是显而易见的，并且，也可以在不脱离本公开内容的保护范围的情况下，将本文所定义的一般性原理应用于其它变型。因此，本公开内容并不限于本文所描述的示例和设计，而是与符合本文公开的原理和新颖性特征的最广范围相一致。
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。

Claims (11)

  1. 产品质量跟踪方法，包括：
    在检测到触发信号时，记录当前产品的产品序号以及操作的开始时间和结束时间；
    采集当前产品的加工参数和实时操作数据；
    将所记录的当前产品的产品序号、操作的开始时间和结束时间以及相应的加工参数和实时操作数据记录在本地序列表中；以及
    在接收到来自服务器的请求时，将所记录的所述本地序列表发送给所述服务器。
  2. 如权利要求1所述的方法，其中，所述触发信号来自于工位的操作数据或者额外设置的传感器。
  3. 产品质量跟踪方法，包括：
    基于生产线的加工设备和生产工序来建立质量IOT模型；
    基于所述质量IOT模型建立生产线的排程表，所述排程表包括分配给每一个加工产品的质量跟踪标识、以及每个工序的开始时间和结束时间；
    请求每个工位和质量门向服务器发送其各自的本地序列表；以及
    根据所述本地序列表来更新生产线的排程表。
  4. 如权利要求3所述的方法，还包括：基于所述排程表和所述本地序列表，将所述加工产品在每个工位的序号、每个工序的起始时间和结束时间、加工参数以及操作数据与对应的质量跟踪标识进行映射。
  5. 本地产品质量跟踪装置，设置在每一个工位或者质量门处，包括：
    定时计数单元，被配置为在检测到触发信号时，记录当前产品的产品序号以及操作的开始时间和结束时间；
    采集单元，被配置为采集当前产品的加工参数和实时操作数据；
    序列表记录单元，被配置为将所记录的当前产品的产品序号、操作的开始时间和结束时间以及相应的加工参数和实时操作数据记录在本地序列表中；以及
    发送单元，被配置为在接收到来自服务器的请求时，将所记录的所述本地序列表发送给所述服务器。
  6. 产品质量跟踪控制装置，设置在服务器上，包括：
    IOT模型建立单元，被配置为基于生产线的加工设备和生产工序来建立质量IOT模型；
    排程表构建单元，被配置为基于所述质量IOT模型构建生产线的排程表，所述排程表包括分配给每一个产品的质量跟踪标识、以及每个工序的开始时间和结束时间；
    序列表请求单元，被配置为请求每个工位和质量门向服务器发送其各自的本地序列表；以及
    排程表更新单元，被配置为根据所述本地序列表来更新所述生产线的排程表。
  7. 如权利要求6所述的装置，还包括：映射单元，被配置为基于所述排程表和所述本地序列表，将所述产品在每个工位的序号、每个工序的起始时间和结束时间、加工参数以及操作数据与对应的质量跟踪标识进行映射。
  8. 计算设备(700)，包括：
    至少一个处理器(702)；以及
    与所述至少一个处理器(702)耦合的一个存储器(704)，所述存储器用于存储指令，当所述指令被所述至少一个处理器(702)执行时，使得所述处理器(702)执行如权利要求1到4中任意一项所述的方法。
  9. 一种非暂时性机器可读存储介质，其存储有可执行指令，所述指令当被执行时使得所述机器执行如权利要求1到4中任意一项所述的方法。
  10. 一种计算机程序，包括计算机可执行指令，所述计算机可执行指令在被执行时使至少一个处理器执行根据权利要求1至4中任意一项所述的方法。
  11. 一种计算机程序产品，所述计算机程序产品被有形地存储在计算机可读介质上并且包括计算机可执行指令，所述计算机可执行指令在被执行时使至少一个处理器执行根据权利要求1至4中任意一项所述的方法。
PCT/CN2020/138710 2020-12-23 2020-12-23 产品质量跟踪方法、装置、计算设备以及存储介质 WO2022133828A1 (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2020/138710 WO2022133828A1 (zh) 2020-12-23 2020-12-23 产品质量跟踪方法、装置、计算设备以及存储介质

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2020/138710 WO2022133828A1 (zh) 2020-12-23 2020-12-23 产品质量跟踪方法、装置、计算设备以及存储介质

Publications (1)

Publication Number Publication Date
WO2022133828A1 true WO2022133828A1 (zh) 2022-06-30

Family

ID=82157115

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/138710 WO2022133828A1 (zh) 2020-12-23 2020-12-23 产品质量跟踪方法、装置、计算设备以及存储介质

Country Status (1)

Country Link
WO (1) WO2022133828A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116578605A (zh) * 2023-04-19 2023-08-11 广东畅视科技有限公司 数据采集方法、装置、电子设备及存储介质
WO2024032740A1 (zh) * 2022-08-12 2024-02-15 安徽新永拓新材料有限公司 生产质量预测方法、系统及计算机可读介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101866167A (zh) * 2009-04-15 2010-10-20 上海汽车制动系统有限公司 Ebs装配生产线的控制方法和系统
US20130190913A1 (en) * 2011-08-25 2013-07-25 Siemens Aktiengesellschaft Production management for manufacturing execution systems
CN105739476A (zh) * 2016-04-29 2016-07-06 深圳联友科技有限公司 一种车间工序工艺可配置化的产品控制方法及装置
CN106066639A (zh) * 2016-06-01 2016-11-02 上海辰竹仪表有限公司 产品制造/加工工位/工序建立/管理方法、系统、设备
CN111898952A (zh) * 2020-07-29 2020-11-06 瑞熙(苏州)智能科技有限公司 一种批次管理物料的精确追溯方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101866167A (zh) * 2009-04-15 2010-10-20 上海汽车制动系统有限公司 Ebs装配生产线的控制方法和系统
US20130190913A1 (en) * 2011-08-25 2013-07-25 Siemens Aktiengesellschaft Production management for manufacturing execution systems
CN105739476A (zh) * 2016-04-29 2016-07-06 深圳联友科技有限公司 一种车间工序工艺可配置化的产品控制方法及装置
CN106066639A (zh) * 2016-06-01 2016-11-02 上海辰竹仪表有限公司 产品制造/加工工位/工序建立/管理方法、系统、设备
CN111898952A (zh) * 2020-07-29 2020-11-06 瑞熙(苏州)智能科技有限公司 一种批次管理物料的精确追溯方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024032740A1 (zh) * 2022-08-12 2024-02-15 安徽新永拓新材料有限公司 生产质量预测方法、系统及计算机可读介质
CN116578605A (zh) * 2023-04-19 2023-08-11 广东畅视科技有限公司 数据采集方法、装置、电子设备及存储介质

Similar Documents

Publication Publication Date Title
WO2022133828A1 (zh) 产品质量跟踪方法、装置、计算设备以及存储介质
US10127740B2 (en) Inspection apparatus, inspection system, and inspection method
WO2016050094A1 (zh) 巡检方法、手持巡检终端及巡检服务器
CN103246574B (zh) 数据准确性的校验方法及装置
US20110218754A1 (en) Method for supporting analytical work of solder printing state and solder printing inspection machine
US11287807B2 (en) Defect detection during an automated production process
CN113557425B (zh) 产品制造消息处理方法、设备和计算机存储介质
CN109685173A (zh) 一种基于nb-iot与射频识别技术的工位监控管理方法
CN208126881U (zh) 辐照加工系统
JP2010055334A (ja) 生産システムの制御方法および生産システム
CN109661626B (zh) 用于诊断自动化系统的系统和方法
US20140179222A1 (en) Method and system for effective and efficient service support
CN113313280B (zh) 云平台的巡检方法、电子设备及非易失性存储介质
CN110874691A (zh) 一种总装下线控制方法及系统
CN108693839B (zh) 智能加工调变系统及方法
CN110910526A (zh) 一种基于智能移动终端的巡检系统和方法
CN114429256A (zh) 数据监测方法、装置、电子设备及存储介质
CN110401658A (zh) 一种数据交互方法和交互平台
CN107896345A (zh) Android智能电视中测试网络连接时间的方法
CN109740766B (zh) 一种工业设备维护服务规划方法
JP2023018016A (ja) 管理システムおよび原因分析システム
CN110969037A (zh) 一种信息处理方法、电子设备和信息处理系统
KR20190134097A (ko) 생산량 모니터링을 위한 데이터 수집 및 운용 시스템
JP2017078621A (ja) 検査システム
CN111047295B (zh) 一种卷烟制丝加工过程的数据采集方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20966403

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20966403

Country of ref document: EP

Kind code of ref document: A1