Production line monitoring method and device, electronic equipment, storage medium and product

Abstract

Embodiments of the present application provide a production line monitoring method and device, electronic equipment, storage medium and product. The production line monitoring method comprises: for each supplier, obtaining production line data of the supplier; for each production line of the supplier, calculating a production index of the production line based on the production line data of the supplier; when any production index of any production line of the supplier does not meet a threshold condition corresponding to the any production index, sending alarm information corresponding to the any production index of the any production line to the supplier. Embodiments of the present application can realize real-time monitoring of each production line of each supplier, timely understand the production line situation of each supplier, and send alarm information to the supplier in time when an exception occurs in monitoring, so that the supplier can timely handle and exclude the exception, thereby reducing the probability of occurrence of problem products.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a production line monitoring method, apparatus, electronic device, storage medium, and product. Background Technology

[0002] Companies and suppliers are two closely linked and crucial links in the automotive industry chain, with a complex and interdependent relationship between them. Typically, a company collaborates with multiple suppliers, each providing relevant products.

[0003] In related technologies, suppliers independently record and manage production line data during product manufacturing. This data is primarily used for subsequent querying and traceability. For example, if a product supplied by a supplier malfunctions, the corresponding production line data can be queried to analyze the cause of the problem. However, the company cannot know the status of the supplier's production line during the product manufacturing process. Therefore, how to monitor the supplier's production line is a pressing technical problem that needs to be solved. Summary of the Invention

[0004] In view of the above problems, this application proposes a production line monitoring method, apparatus, electronic device, storage medium and product to solve the problem of how to monitor the supplier's production line.

[0005] According to one aspect of an embodiment of this application, a production line monitoring method is provided, the method comprising:

[0006] For each supplier, obtain the supplier's production line data;

[0007] For each production line of the supplier, the production indicators of the production line are calculated based on the production line data of the supplier;

[0008] When any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to the production indicator, an alarm message corresponding to the production indicator of the production line is sent to the supplier.

[0009] Optionally, after obtaining the supplier's production line data, the method further includes: for each production indicator, selecting target data for calculating the production indicator from the supplier's production line data, and storing the target data in the data table corresponding to the supplier's production indicator;

[0010] The step of calculating the production indicators of the production line based on the supplier's production line data includes: for each production indicator of the production line, calculating the production indicator of the production line based on the data table corresponding to the production indicator of the supplier.

[0011] Optionally, the method further includes: obtaining filtering conditions, filtering out production line data and production indicators to be displayed according to the filtering conditions, and displaying the production line data and production indicators to be displayed through a user interface.

[0012] Optionally, the production indicators include line balance rate; calculating the production indicators of the production line based on the supplier's production line data includes:

[0013] For each workstation in the production line, the unit time capacity of the workstation is calculated based on the supplier's production line data, and the cycle time of the workstation is calculated based on the unit time capacity.

[0014] The line balance rate of the production line is calculated based on the cycle time of each station in the production line.

[0015] Optionally, calculating the line balance rate of the production line based on the cycle time of each station in the production line includes:

[0016] Obtain the total number of workstations in the production line and the maximum cycle time among the cycle times of each workstation in the production line, and calculate the product of the total number of workstations and the maximum cycle time;

[0017] Calculate the sum of cycle times of each station in the production line, and determine the line balance rate of the production line as the ratio of the sum to the product.

[0018] Optionally, calculating the unit-time capacity of the workstation based on the supplier's production line data includes:

[0019] Based on the supplier's production line data, calculate the number of products produced by the workstation in each unit of time.

[0020] The maximum number of products is selected as the target unit time capacity of the workstation.

[0021] According to another aspect of the embodiments of this application, a production line monitoring device is provided, the device comprising:

[0022] The acquisition module is used to acquire production line data for each supplier.

[0023] The calculation module is used to calculate the production indicators of each production line of the supplier based on the supplier's production line data.

[0024] The alarm module is used to send alarm information corresponding to any production indicator of any production line to the supplier when any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to the production indicator.

[0025] Optionally, the device further includes: a filtering module, configured to filter target data for calculating the production indicator from the supplier's production line data for each production indicator, and store the target data in the data table corresponding to the supplier's production indicator;

[0026] The calculation module is specifically used to calculate the production indicators of the production line based on the data table corresponding to the production indicators of the supplier for each production indicator of the production line.

[0027] Optionally, the device further includes a display module, configured to acquire filtering conditions, filter out production line data and production indicators to be displayed according to the filtering conditions, and display the production line data and production indicators to be displayed through a user interface.

[0028] Optionally, the production indicators include the line balance rate; the calculation module includes:

[0029] The first calculation unit is used to calculate the unit time capacity of each workstation in the production line based on the supplier's production line data, and to calculate the cycle time of the workstation based on the unit time capacity.

[0030] The second calculation unit is used to calculate the line balance rate of the production line based on the cycle time of each station in the production line.

[0031] Optionally, the second calculation unit is specifically used to obtain the total number of workstations in the production line and the maximum cycle time among the cycle times of each workstation in the production line; calculate the product of the total number of workstations and the maximum cycle time; calculate the sum of the cycle times of each workstation in the production line; and determine the ratio of the sum to the product as the line balance rate of the production line.

[0032] Optionally, the first calculation unit is specifically used to calculate the number of products produced by the workstation in each unit of time based on the supplier's production line data; and select the largest number of products as the target unit-time capacity of the workstation.

[0033] According to another aspect of the embodiments of this application, an electronic device is provided, the electronic device including a processor and a computer-readable storage medium storing a computer program thereon; when the computer program is executed by the processor, the processor causes the processor to perform the production line monitoring method as described in any of the preceding claims.

[0034] According to another aspect of the embodiments of this application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, causes the processor to perform the production line monitoring method as described in any of the preceding claims.

[0035] According to another aspect of the embodiments of this application, a computer program product is provided, which stores a computer program that, when executed by a processor, causes the processor to perform the production line monitoring method as described in any of the preceding claims.

[0036] In this embodiment, production line data of each supplier can be obtained, and production indicators of each production line of the supplier can be calculated based on the production line data. When any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to that production indicator, an alarm message corresponding to that production indicator of that production line is sent to the supplier. This enables real-time monitoring of each production line of each supplier, timely understanding of the production line status of each supplier, and timely sending of alarm messages to suppliers when abnormalities are detected, so that suppliers can handle and eliminate abnormalities in a timely manner, thereby reducing the probability of problematic products.

[0037] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0038] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some drawings of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a flowchart of a production line monitoring method according to an embodiment of this application;

[0040] Figure 2This is a flowchart of another production line monitoring method according to an embodiment of this application;

[0041] Figure 3 This is a schematic diagram of a user interface according to an embodiment of this application;

[0042] Figure 4 This is a schematic diagram of a production line monitoring process according to an embodiment of this application;

[0043] Figure 5 This is a structural block diagram of a production line monitoring device according to an embodiment of this application;

[0044] Figure 6 This is a structural block diagram of an electronic device according to an embodiment of this application;

[0045] Figure 7 This is a structural block diagram of a computer-readable storage medium according to an embodiment of this application. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0047] The production line monitoring method of this application embodiment can be applied to the monitoring system of an enterprise. The enterprise can cooperate with multiple suppliers, and each supplier can produce the products required by the enterprise.

[0048] Reference Figure 1 The diagram shows a flowchart of a production line monitoring method according to an embodiment of this application.

[0049] like Figure 1 As shown, the production line monitoring method may include the following steps:

[0050] Step 101: For each supplier, obtain the supplier's production line data.

[0051] Suppliers can record production line data in real time during the production process. This data can include relevant information from each of the supplier's production lines. This data is crucial for monitoring the production process, ensuring product quality, and managing production.

[0052] Once the supplier's production line equipment generates new production line data, it can transmit the data to the supplier's corresponding MES (Manufacturing Execution System) without waiting for a specific point in time for batch uploads. This ensures the timeliness and accuracy of the production line data in the MES system. The MES system is a production information management system for the shop floor execution layer of manufacturing enterprises, responsible for collecting and managing various data during the production process.

[0053] In this embodiment, the monitoring system for executing the production line monitoring method can provide an Open API (Open Application Programming Interface), which is an interface that allows interaction between different software systems. The supplier's MES system can use this Open API to upload the supplier's production line data to the monitoring system for executing the production line monitoring method according to predefined rules and formats, thereby enabling the monitoring system to obtain the supplier's production line data. Therefore, the monitoring system for executing the production line monitoring method can obtain the production line data of each supplier.

[0054] For example, the production line data may include, but is not limited to: supplier identifier, product name, part number, production line code, workstation code, SN (Serial Number), test result, test time, upload time, work order number, test details, etc. The test details may include, but are not limited to: test item name, test value, test upper and lower limits, test unit, etc. It should be noted that these fields are predefined by the monitoring system. The MES system can develop a program to upload the supplier's production line data to the monitoring system's big data platform in real time according to the above fields.

[0055] A product name can correspond to one or more part numbers. For example, if the product name is "screen," a 15-inch screen could correspond to part number 001, a 20-inch screen could correspond to part number 002, and so on. A part number can correspond to one or more serial numbers (SNs), and each SN can uniquely identify a product under that part number. A SN can also correspond to a test time. A production line can consist of one or more workstations. A workstation is the basic unit of the production line, and each workstation undertakes a specific task in the production process. Therefore, a production line code can correspond to one or more workstation codes.

[0056] Step 102: For each production line of the supplier, calculate the production indicators of the production line based on the production line data of the supplier.

[0057] A monitoring system for implementing production line monitoring methods can, after acquiring the production line data of any given supplier, calculate the production indicators for each production line of that supplier based on that data. Each production line can have one or more production indicators.

[0058] For example, the production metrics for each production line may include, but are not limited to, at least one of the following: LBR (Line Balance Rate), first pass rate, pass rate, traceability rate, capacity per unit time, etc.

[0059] The following explanation uses line balance rate as an example.

[0060] Line balance rate is an indicator that measures whether the production capacity of each station in a production line is balanced. The higher the line balance rate, the more balanced the production capacity among the stations in the production line, and the higher the production efficiency.

[0061] For example, the process of calculating the production indicator of the production line based on the supplier's production line data, for the production line balance rate, may include the following steps A1 to A2:

[0062] Step A1: For each workstation in the production line, calculate the unit time capacity of the workstation based on the supplier's production line data, and calculate the cycle time of the workstation based on the unit time capacity.

[0063] For example, the process of calculating the unit time capacity of the workstation based on the supplier's production line data may include: calculating the number of products produced by the workstation in each unit time based on the supplier's production line data; and selecting the largest number of products as the target unit time capacity of the workstation.

[0064] The supplier's production line data is analyzed by dividing the time into units. For each workstation in the production line, the test time corresponding to each SN under that workstation is counted. For each unit of time, based on the test time corresponding to each SN under that workstation, the total number of SNs at that workstation within that unit of time is counted. The total number of SNs within that unit of time is taken as the number of products produced by that workstation within that unit of time.

[0065] For example, each hour of the day is taken as a unit of time. For each hour, based on the test time corresponding to each SN under that workstation, the total number of SNs under that workstation in that hour is counted. The total number of SNs under that workstation in that hour is taken as the number of products produced under that workstation in that hour.

[0066] After calculating the number of products produced by the workstation in each unit of time, the maximum number of products produced in each unit of time is selected as the workstation's unit-time capacity. The workstation's unit-time capacity represents the maximum number of products that the workstation can produce in a unit of time.

[0067] For example, the process of calculating the cycle time (CT) of the workstation based on the unit time capacity may include: using the ratio of the unit time to the unit time capacity of the workstation as the cycle time of the workstation. The cycle time of the workstation represents the time required for the workstation to produce one product.

[0068] For example, if each hour of a day is taken as a unit of time, after calculating the unit time capacity of the workstation, the ratio obtained by dividing 3600 seconds by the unit time capacity is the cycle time of the workstation, and the unit of cycle time is seconds.

[0069] The unit time mentioned above can be set according to actual needs, and this embodiment does not impose any restrictions on it. For example, the unit time can be 1 hour (that is, 3600 seconds), 2 hours, etc.

[0070] Step A2: Calculate the line balance rate of the production line based on the cycle time of each station in the production line.

[0071] For example, the process of calculating the line balance rate of the production line based on the cycle time of each station in the production line may include: obtaining the total number of stations in the production line and the maximum cycle time among the cycle times of each station in the production line; calculating the product of the total number of stations and the maximum cycle time; calculating the sum of the cycle times of each station in the production line; and determining the ratio of the sum to the product as the line balance rate of the production line.

[0072] The maximum cycle time among the cycle times of each workstation in the production line can also be called the bottleneck process time. It represents the longest process time in the production process, which is the key link that limits the output speed of the entire production line.

[0073] The formula for calculating the line balance rate is as follows:

[0074] Line balance rate = (Sum of cycle times of all stations in the production line / (Total number of stations in the production line * Maximum cycle time of all stations in the production line)) * 100%

[0075] Other production indicators for the production line, such as first-pass yield, pass rate, traceability rate, and capacity per unit time, can be calculated according to actual needs, and will not be discussed in detail in this embodiment.

[0076] For example, the first-pass yield of a production line refers to the proportion of products that pass through all workstations on the production line from the start of production to the final completion without undergoing rework or repair, out of the total number of products put into production.

[0077] For example, the pass rate of a production line refers to the proportion of products that pass inspection out of the total number of inspected products. The difference between it and the first-pass yield is that the pass rate does not distinguish whether a product has undergone rework or repair; as long as it passes the final inspection, it is counted as a qualified product.

[0078] For example, the traceability rate of a production line refers to the proportion of products on the production line that can be fully traced through product identification (such as SN) to all information in the product manufacturing process (including the source of raw materials, production process, production equipment, operators, test data, etc.) to the total number of products.

[0079] For example, the production capacity per unit time of a production line refers to the maximum number of products that the production line can produce per unit of time. This unit of time can be 1 hour, 1 day, etc.

[0080] Step 103: When any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to the production indicator, send an alarm message corresponding to the production indicator of the production line to the supplier.

[0081] In this embodiment, threshold conditions corresponding to each production indicator can be pre-set according to actual needs. After calculating the production indicators for each production line of each supplier, the monitoring system for executing the production line monitoring method can match each production indicator of the production line with its corresponding threshold conditions. If it is determined that any production indicator of any production line of the supplier does not meet the threshold condition corresponding to that production indicator, the monitoring system can send an alarm message corresponding to that production indicator of that production line to the supplier.

[0082] For example, the threshold condition can be greater than a certain threshold, less than a certain threshold, or within a certain threshold range, etc., and can be set according to actual needs. This embodiment does not limit this. For example, for line balance rate, the threshold condition can be set to be greater than a certain threshold, etc.

[0083] For example, the alarm information may include, but is not limited to: supplier identifier, product name, part number, production line code, production indicators (indicator name and indicator value), etc.

[0084] In this embodiment, production line data of each supplier can be obtained, and production indicators of each production line of the supplier can be calculated based on the production line data. When any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to that production indicator, an alarm message corresponding to that production indicator of that production line is sent to the supplier. This enables real-time monitoring of each production line of each supplier, timely understanding of the production line status of each supplier, and timely sending of alarm messages to suppliers when abnormalities are detected, so that suppliers can handle and eliminate abnormalities in a timely manner, thereby reducing the probability of problematic products.

[0085] Reference Figure 2 The diagram shows a flowchart of another production line monitoring method according to an embodiment of this application.

[0086] like Figure 2 As shown, the production line monitoring method may include the following steps:

[0087] Step 201: For each supplier, obtain the supplier's production line data.

[0088] Step 202: For each production indicator, select the target data for calculating the production indicator from the supplier's production line data, and store the target data in the data table corresponding to the supplier's production indicator.

[0089] In this embodiment, after receiving the supplier's production line data uploaded by the supplier via Open API, the monitoring system can first store the supplier's production line data in a raw data table (which can be called an OB table). This can be done by storing all suppliers' production line data in a single raw data table, or by storing each supplier's production line data in a separate raw data table; this embodiment does not impose any restrictions on this.

[0090] In this embodiment of the application, in order to further simplify the processing, for each production indicator and for each supplier, target data for calculating the production indicator can be selected from the supplier's production line data, and the target data can be stored in the data table corresponding to the supplier's production indicator.

[0091] For each production indicator, the target data used to calculate that indicator can be set according to actual needs, and this embodiment does not impose any restrictions on this. For example, for the line balance rate, the target data used to calculate the line balance rate may include, but is not limited to: supplier identifier, product name, part number, production line code, serial number (SN), test time, etc.

[0092] The data table corresponding to the production indicators can be a Hive table (Hive is a data warehouse tool based on Hadoop), etc.

[0093] Step 203: For each production indicator of each production line of the supplier, calculate the production indicator of the production line based on the data table corresponding to the production indicator of the supplier.

[0094] The monitoring system calculates the production indicators for each production line of the supplier based on the data table corresponding to those production indicators. Therefore, data can be queried from the data table corresponding to the supplier's production indicators, eliminating the need to query the original data table. The data volume in the data table corresponding to the production indicators is significantly lower than that in the original data table, thus improving data query efficiency and consequently, the efficiency of production indicator calculation.

[0095] For the specific process of calculating production indicators, please refer to the relevant description above. This embodiment will not be discussed in detail here.

[0096] Step 204: When any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to the production indicator, send an alarm message corresponding to the production indicator of the production line to the supplier.

[0097] Step 205: Obtain the filtering conditions, filter out the production line data and production indicators to be displayed according to the filtering conditions, and display the production line data and production indicators to be displayed through the user interface.

[0098] In this embodiment of the application, the monitoring system can provide a front-end user interface. The monitoring system can obtain filtering conditions, filter out the production line data and production indicators to be displayed according to the filtering conditions, and display the production line data and production indicators to be displayed through the user interface.

[0099] The filtering criteria can be pre-set default criteria or criteria sent in real-time by users (enterprise users or supplier users) based on actual needs. Filtering criteria may include, but are not limited to, supplier identifiers, product names, part numbers, production line codes, production indicators, etc., and can be set according to actual needs; this embodiment does not impose any restrictions on this. For example, relevant production line data and production indicators can be displayed in a scrolling manner for all suppliers, or relevant production line data and production indicators can be displayed for specific suppliers, and so on.

[0100] Reference Figure 3 The diagram illustrates a user interface according to an embodiment of this application. Figure 3 As shown, the user interface displays the UPH (Units Per Hour) for different part numbers from different suppliers. It should be noted that... Figure 3 This is merely an example and is not intended to limit the scope of this application.

[0101] Reference Figure 4 The diagram illustrates a production line monitoring process according to an embodiment of this application.

[0102] like Figure 4 As shown, the production line monitoring process can include: each supplier uploading its production line data through the Open Application Programming Interface (Open API) provided by the data acquisition section; the data acquisition section stores the supplier's production line data into a raw data table (OB table); the raw data table is transmitted to Kafka in the data warehouse section (Kafka is a high-throughput distributed publish-subscribe messaging system capable of receiving, buffering, and distributing large amounts of data); data integration is performed in Kafka on a unit-time basis, and the data is stored into a StarRocks (SR) table; the data in the SR table generates multiple Hive tables according to different production indicators; the production indicators of each supplier's production line are analyzed based on the data in the Hive tables and stored in the SR tables; the data warehouse provides relevant data (such as production indicators, production line data, etc.) to the backend through the application programming interface (API); the backend can implement access control for data (e.g., allowing suppliers to access their own relevant data while prohibiting access to other suppliers' relevant data); and a web interface is provided to display relevant data (such as production indicators, production line data, etc.).

[0103] In this embodiment, the production line data of each supplier can be analyzed in real time to obtain the production indicators of each production line of the supplier, and the production indicators and other data of different production lines of the supplier can be displayed in real time through the dashboard.

[0104] Reference Figure 5 The diagram shows a structural block diagram of a production line monitoring device according to an embodiment of this application.

[0105] like Figure 5 As shown, the production line monitoring device may include the following modules:

[0106] The acquisition module 501 is used to acquire production line data for each supplier.

[0107] The calculation module 502 is used to calculate the production indicators of each production line of the supplier based on the production line data of the supplier.

[0108] The alarm module 503 is used to send alarm information corresponding to any production indicator of any production line to the supplier when any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to the production indicator.

[0109] Optionally, the device further includes: a filtering module, configured to filter target data for calculating the production indicator from the supplier's production line data for each production indicator, and store the target data in the data table corresponding to the supplier's production indicator;

[0110] The calculation module 502 is specifically used to calculate the production indicators of the production line based on the data table corresponding to the production indicators of the supplier for each production indicator of the production line.

[0111] Optionally, the device further includes a display module, configured to acquire filtering conditions, filter out production line data and production indicators to be displayed according to the filtering conditions, and display the production line data and production indicators to be displayed through a user interface.

[0112] Optionally, the production indicators include the line balance rate; the calculation module 502 includes:

[0113] The first calculation unit is used to calculate the unit time capacity of each workstation in the production line based on the supplier's production line data, and to calculate the cycle time of the workstation based on the unit time capacity.

[0114] The second calculation unit is used to calculate the line balance rate of the production line based on the cycle time of each station in the production line.

[0115] Optionally, the second calculation unit is specifically used to obtain the total number of workstations in the production line and the maximum cycle time among the cycle times of each workstation in the production line; calculate the product of the total number of workstations and the maximum cycle time; calculate the sum of the cycle times of each workstation in the production line; and determine the ratio of the sum to the product as the line balance rate of the production line.

[0116] Optionally, the first calculation unit is specifically used to calculate the number of products produced by the workstation in each unit of time based on the supplier's production line data; and select the largest number of products as the target unit-time capacity of the workstation.

[0117] In this embodiment, production line data of each supplier can be obtained, and production indicators of each production line of the supplier can be calculated based on the production line data. When any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to that production indicator, an alarm message corresponding to that production indicator of that production line is sent to the supplier. This enables real-time monitoring of each production line of each supplier, timely understanding of the production line status of each supplier, and timely sending of alarm messages to suppliers when abnormalities are detected, so that suppliers can handle and eliminate abnormalities in a timely manner, thereby reducing the probability of problematic products.

[0118] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0119] In embodiments of this application, an electronic device is also provided. This electronic device may include a processor and a computer-readable storage medium storing a computer program; when the computer program is executed by the processor, the processor performs the production line monitoring method of any of the above embodiments.

[0120] Reference Figure 6 This diagram illustrates a structural block diagram of an electronic device according to an embodiment of this application. Figure 6 As shown, the electronic device 11 includes a processor 111 and a computer-readable storage medium 112, on which a computer program 1121 is stored.

[0121] The processor 111 is used to execute the computer program 1121 stored on the computer-readable storage medium 112. When the processor 111 executes the computer program 1121, it implements the production line monitoring method of any of the above embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0122] The processor 111 mentioned above may include, but is not limited to: a central processing unit (CPU), a network processor (NP), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0123] The aforementioned computer-readable storage medium 112 may include, but is not limited to: read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), electronically erasable programmable read-only memory (EEPROM), hard disk, floppy disk, flash memory, etc.

[0124] In embodiments of this application, a computer-readable storage medium is also provided, on which a computer program is stored, which can be executed by a processor of an electronic device, and when the computer program is executed by the processor, the processor performs the production line monitoring method as described in any of the above embodiments.

[0125] Reference Figure 7 This diagram illustrates a structural block diagram of a computer-readable storage medium according to an embodiment of this application. Figure 7 As shown, a computer program 211 is stored on a computer-readable storage medium 21. When the computer program 211 is executed by a processor, it causes the processor to perform the production line monitoring method as described in any of the above embodiments, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0126] The various embodiments in this specification are related to each other and are described in a progressive manner. Each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other.

[0127] It should be noted that all actions involving the acquisition of signals, information, or data in this application are carried out in compliance with the relevant data protection laws and regulations of the locality and with authorization from the owner of the relevant device.

[0128] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0129] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause 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 described in the various embodiments of this application.

[0130] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0131] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0132] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0133] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0134] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0135] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0136] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. In summary, the content of this specification should not be construed as a limitation of this application.

Claims

1. A production line monitoring method, characterized in that, The method includes: For each supplier, obtain the supplier's production line data; For each production line of the supplier, the production indicators of the production line are calculated based on the production line data of the supplier; When any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to the production indicator, an alarm message corresponding to the production indicator of the production line is sent to the supplier.

2. The method according to claim 1, characterized in that, After obtaining the supplier's production line data, the method further includes: for each production indicator, selecting target data for calculating the production indicator from the supplier's production line data, and storing the target data in the data table corresponding to the supplier's production indicator; The step of calculating the production indicators of the production line based on the supplier's production line data includes: for each production indicator of the production line, calculating the production indicator of the production line based on the data table corresponding to the production indicator of the supplier.

3. The method according to claim 1 or 2, characterized in that, The method further includes: Obtain the filtering conditions, filter out the production line data and production indicators to be displayed according to the filtering conditions, and display the production line data and production indicators to be displayed through the user interface.

4. The method according to claim 1, characterized in that, The production indicators include the line balance rate; the calculation of the production indicators of the production line based on the supplier's production line data includes: For each workstation in the production line, the unit time capacity of the workstation is calculated based on the supplier's production line data, and the cycle time of the workstation is calculated based on the unit time capacity. The line balance rate of the production line is calculated based on the cycle time of each station in the production line.

5. The method according to claim 4, characterized in that, The calculation of the line balance rate of the production line based on the cycle time of each workstation in the production line includes: Obtain the total number of workstations in the production line and the maximum cycle time among the cycle times of each workstation in the production line, and calculate the product of the total number of workstations and the maximum cycle time; Calculate the sum of cycle times of each station in the production line, and determine the line balance rate of the production line as the ratio of the sum to the product.

6. The method according to claim 4, characterized in that, The calculation of the unit-time capacity of the workstation based on the supplier's production line data includes: Based on the supplier's production line data, calculate the number of products produced by the workstation in each unit of time. The maximum number of products is selected as the target unit time capacity of the workstation.

7. A production line monitoring device, characterized in that, The device includes: The acquisition module is used to acquire production line data for each supplier. The calculation module is used to calculate the production indicators of each production line of the supplier based on the supplier's production line data. The alarm module is used to send alarm information corresponding to any production indicator of any production line to the supplier when any production indicator of any production line of the supplier fails to meet the threshold condition corresponding to the production indicator.

8. An electronic device, characterized in that, The electronic device includes a processor and a computer-readable storage medium on which a computer program is stored; When the computer program is executed by the processor, the processor performs the production line monitoring method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to perform the production line monitoring method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product stores a computer program that, when executed by a processor, causes the processor to perform the production line monitoring method as described in any one of claims 1 to 6.

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