Product receiving value abnormity determination method and apparatus, and electronic device

Abstract

The invention provides a product receiving value abnormity determination method and device and electronic equipment, and the method comprises the steps: obtaining a receiving value sequence of a target product, and the receiving value sequence comprises a plurality of production parameters continuously collected by the target product under the same product specification key point; identifying a plurality of production parameters in the received value sequence by using a received value judgment rule pre-bound with the target product so as to determine whether a continuous received value abnormal rule is triggered or not; and if the continuous value receiving abnormity rule is triggered, extracting a preset production parameter with value receiving abnormity in the value receiving sequence, and identifying an early warning interval in which the preset production parameter falls so as to trigger a target reaction mechanism corresponding to the early warning interval. According to the application, the continuous production parameters of the target product are monitored and the early warning mechanism is triggered, so that the product quality is monitored in time and effectively handled.

Description

Technical Field

[0001] The present application relates to the field of production process control, and more specifically, to a method, device and electronic equipment for determining abnormal product value receipt. Background Art

[0002] For experienced quality control experts, the nine judgment rules of the traditional SPC (Statistical Process Control) system can no longer fully meet their strict quality management needs. Especially when faced with the specific situation that the same product specification has three consecutive abnormal values, since this judgment does not directly rely on the regular distribution pattern of the points on the control chart, but focuses on the specific frequency of abnormal values, the probability of its occurrence is rarer than that in the nine rules. Once such anomalies occur, users need to take more targeted countermeasures. Summary of the invention

[0003] In view of this, the purpose of the present application is to provide a method, device and electronic device for determining abnormal product received value, aiming to overcome at least one of the above-mentioned defects.

[0004] In a first aspect, the present application provides a method for determining product value collection anomalies, the method comprising: obtaining a value collection sequence of a target product, the value collection sequence comprising a plurality of production parameters of the target product continuously collected at the same product specification key points; using a value collection determination rule pre-bound to the target product to identify a plurality of production parameters in the value collection sequence to determine whether to trigger a continuous value collection anomaly rule; if the continuous value collection anomaly rule is triggered, extracting a preset production parameter in the value collection sequence where a value collection anomaly occurs, and identifying a warning interval into which the preset production parameter falls, to trigger a target response mechanism corresponding to the warning interval.

[0005] In a possible implementation, the received value sequence includes a plurality of production parameters arranged in sequence according to the collection time, and the received value determination rule includes a numerical detection range that matches the key points of the product specification, wherein the received value sequence is identified in the following manner: for each production parameter in the received value sequence, it is determined whether the production parameter falls within the numerical detection range; if the production parameter does not fall within the numerical detection range, the production parameter is written into an exception queue.

[0006] In a possible implementation, whether to trigger the continuous value collection exception rule is determined in the following manner: extracting the collection time corresponding to each production parameter in the exception queue; performing continuity identification based on the extracted collection time, so as to determine to trigger the continuous value collection exception rule when it is identified that there are a predetermined number of production parameters with continuous collection times in the exception queue.

[0007] In a possible implementation, a preset production parameter having an abnormal received value in the received value sequence is extracted in the following manner: determining a collection time of a target production parameter, the target production parameter being a predetermined number of production parameters having continuous collection times in the abnormal queue; and determining a production parameter with the closest collection time among the target production parameters as the preset production parameter.

[0008] In a possible implementation, it also includes: after the continuous value collection exception rule is triggered, a warning chart is displayed, and multiple data points are displayed on the warning chart, each data point corresponds to a production parameter collected at the key point of the product specification; in the warning chart, the first abnormal data point corresponding to the specified production parameter is displayed in a first presentation mode, and the second abnormal data point corresponding to the preset production parameter is displayed in a second presentation mode, and a warning mark is displayed at the second abnormal data point, and the warning mark is used to indicate the warning level corresponding to the warning interval into which the preset production parameter falls, and the specified production parameter is other production parameters in the target production parameter except the preset production parameter.

[0009] In a possible implementation, it also includes: a plurality of warning intervals and a reaction mechanism corresponding to each warning interval are pre-configured for the continuous value collection abnormality rule, the plurality of warning intervals include a first warning interval, the first warning interval corresponds to a first reaction mechanism, wherein the target reaction mechanism is triggered in the following manner: when it is identified that the preset production parameter falls into the first warning interval, the first reaction mechanism is triggered to display a warning notification.

[0010] In a possible implementation, the multiple warning intervals also include a second warning interval, and the second warning interval corresponds to a second reaction mechanism, wherein the target reaction mechanism is triggered in the following manner: if the preset production parameter falls into the second warning interval, the second reaction mechanism is triggered to control the stop of obtaining the received value sequence of the target product.

[0011] In a possible implementation, the multiple warning intervals also include a third warning interval, and the third warning interval corresponds to a third reaction mechanism, wherein the target reaction mechanism is triggered in the following manner: if the preset production parameter falls into the third warning interval, the third reaction mechanism is triggered to control the sending of a stop signal to the machine producing the target product, and notify the staff to inspect the machine producing the target product.

[0012] In a second aspect, the present application provides a device for determining product value anomaly, the device comprising: obtaining a value sequence of a target product, the value sequence comprising a plurality of production parameters of the target product continuously collected at the same product specification key points; using a value determination rule pre-bound to the target product to identify a plurality of production parameters in the value sequence to determine whether to trigger a continuous value anomaly rule; if the continuous value anomaly rule is triggered, extracting a preset production parameter in the value sequence where a value anomaly occurs, and identifying a warning interval into which the preset production parameter falls, to trigger a target response mechanism corresponding to the warning interval.

[0013] In a third aspect, the present application also provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the product value collection abnormality determination method as described above are performed.

[0014] The present application provides a method, device and electronic device for determining product value anomalies, wherein the method comprises: obtaining a value sequence of a target product, wherein the value sequence comprises a plurality of production parameters of the target product continuously collected at the same product specification key point; using a value determination rule pre-bound to the target product, identifying a plurality of production parameters in the value sequence to determine whether to trigger a continuous value anomaly rule; if the continuous value anomaly rule is triggered, extracting a preset production parameter in the value sequence where a value anomaly occurs, and identifying the early warning interval into which the preset production parameter falls, so as to trigger a target response mechanism corresponding to the early warning interval. The present application realizes timely monitoring and effective response to product quality by monitoring the continuous production parameters of the target product and triggering an early warning mechanism.

[0015] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of a method for determining abnormal product value received provided in an embodiment of the present application;

[0018] Figure 2 A flowchart of triggering a continuous value collection exception rule provided in an embodiment of the present application;

[0019] Figure 3 A flowchart of extracting preset production parameters in a collection sequence provided in an embodiment of the present application;

[0020] Figure 4 A flowchart of displaying a warning chart provided in an embodiment of the present application;

[0021] Figure 5 A schematic diagram of the structure of a device for determining abnormal product value received provided in an embodiment of the present application;

[0022] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application usually described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work belongs to the scope of protection of the present application.

[0024] After research, it was found that for senior quality control experts, the nine judgment rules of the traditional SPC system can no longer fully meet their strict quality management needs. Especially when faced with the specific situation that the same product specification received value has three consecutive abnormalities, since this judgment does not directly rely on the regular distribution pattern of the points on the control chart, but focuses on the specific frequency of abnormal received values, its probability of occurrence is rarer than the situations in the nine rules. Once such anomalies occur, users need to take more targeted countermeasures.

[0025] Based on this, the present application embodiment provides a method for determining abnormal product value collection, please refer to Figure 1 , Figure 1 This is a flow chart of a method for determining abnormal product value received provided by an embodiment of the present application. Figure 1 As shown in , the method for determining abnormal product value received provided by the embodiment of the present application includes:

[0026] S101. Obtain a received value sequence of a target product, where the received value sequence includes a plurality of production parameters of the target product that are continuously collected at key points of the same product specification.

[0027] Here, the target product refers to the product that needs to be monitored and evaluated for production parameters. The target product can be any item produced in the manufacturing process. Its quality, performance and other characteristics need to be measured by a series of production parameters. The collected value sequence refers to a series of production parameters continuously collected from the target product at the same product specification key points. These parameters may include temperature, pressure, weight, size, etc., which are used to evaluate the production status and quality of the product. The collected value sequence is arranged in sequence according to the collection time, so it contains time information. Product specification key points refer to specific links or parameter points in the production process that have an important impact on product quality or performance.

[0028] In an embodiment of the present application, the target product may be a semiconductor. In a semiconductor production environment, EAP (Equipment Automation Program) is responsible for controlling the production equipment and collecting data in the production process in real time, such as machine status, product parameters, etc. These data are crucial for monitoring the stability of the production process and product quality. MES (Manufacturing Execution System) is the core management system of the production line. It is responsible for monitoring the status of the entire production line in real time and recording the status changes of various elements related to production. When the EAP system collects production parameters, these data will be reported to the MES system in real time. The MES system will further process these production parameters for production process control, product quality monitoring, and production management decision support. At the same time, the MES system will also provide these production parameters to the SPC system for more in-depth analysis and monitoring.

[0029] In a preferred example of the present application, the received value sequence includes multiple production parameters arranged in sequence according to the collection time, and the received value determination rule includes a value detection range that matches the key points of the product specification. For each production parameter in the received value sequence, it is determined whether the production parameter falls within the value detection range, and if the production parameter does not fall within the value detection range, the production parameter is written into the abnormal queue.

[0030] Specifically, the value-added judgment rules are a set of pre-set standards or conditions used to determine whether the production parameters meet the product specification requirements. The value-added judgment rules include a numerical detection range that matches the key points of the product specifications, that is, each parameter has a numerical range that is considered normal or qualified. The abnormal queue refers to a set of production parameters that do not fall into the numerical detection range, that is, those that do not meet the value-added judgment rules. These parameters are considered abnormal and may indicate problems in the production process.

[0031] S102: using the collected value determination rule pre-bound to the target product, identify multiple production parameters in the collected value sequence to determine whether to trigger the continuous collected value exception rule.

[0032] Here, the continuous received value anomaly rule is a rule used to identify that when the production parameters in the abnormal queue appear continuously at the collection time and the number reaches a predetermined threshold, it is considered that continuous received value anomalies have occurred, which indicates that there are continuous problems or failures in the production process.

[0033] Below through Figure 2 This section describes the specific steps for determining the rules that trigger continuous value collection anomalies.

[0034] Figure 2 A flowchart of triggering continuous value collection exception rules provided in an embodiment of the present application.

[0035] S201. Extract the collection time corresponding to each production parameter in the abnormal queue.

[0036] S202: Continuity identification is performed according to the extracted collection time, so as to determine to trigger a continuous value collection exception rule when it is identified that there are a predetermined number of production parameters with continuous collection time in the exception queue.

[0037] In the embodiment of the present application, the predetermined threshold is set to three, and the three consecutive received value abnormality rules are recorded as the R12 rule in the SPC system.

[0038] return Figure 1 S103: If the continuous received value abnormality rule is triggered, a preset production parameter in which the received value abnormality occurs in the received value sequence is extracted, and the warning interval into which the preset production parameter falls is identified to trigger the target response mechanism corresponding to the warning interval.

[0039] Here, the warning interval refers to dividing the abnormal parameters into different intervals according to the degree or type of abnormality of the production parameters. Each interval corresponds to a different risk level and response measures. The setting of the warning interval helps to quickly identify the severity of the problem and trigger the corresponding target response mechanism.

[0040] Below through Figure 3 The specific process of extracting a preset production parameter with abnormal received values ​​in a received value sequence is introduced.

[0041] Figure 3 A flowchart of extracting preset production parameters in a value collection sequence provided in an embodiment of the present application.

[0042] S301. Determine the collection time of the target production parameter, where the target production parameter is a predetermined number of production parameters having consecutive collection times in the abnormal queue.

[0043] Here, the target production parameters refer to those production parameters that are identified as having continuous collection moments in the abnormal queue and whose quantity reaches a predetermined standard. These parameters are considered to be objects that require further analysis due to the continuous occurrence of abnormal values. The collection moment refers to the time point when the production parameters are recorded or measured. In this application, the collection moments of the target production parameters are continuous, which means that these parameters are measured continuously over a period of time.

[0044] S302: Determine a production parameter with the most recent collection time among the target production parameters as a preset production parameter.

[0045] Here, the preset production parameter is one selected from the target production parameters, specifically, it is the one of the target production parameters with the most recent collection time, and this parameter is selected as the basis for further analyzing the abnormal collection value.

[0046] In a preferred example of the present application, multiple warning intervals and reaction mechanisms corresponding to each warning interval are pre-configured for the continuous received value abnormality rule, the multiple warning intervals include a first warning interval, the first warning interval corresponds to a first reaction mechanism, the multiple warning intervals also include a second warning interval, the second warning interval corresponds to a second reaction mechanism, the multiple warning intervals also include a third warning interval, the third warning interval corresponds to a third reaction mechanism.

[0047] Here, the warning interval is set according to the continuous collection value abnormality rule, and is used to distinguish the numerical range of abnormal situations of different degrees. There are multiple warning intervals, including the first warning interval, the second warning interval and the third warning interval. Each interval corresponds to a different degree of abnormality and a reaction mechanism. The reaction mechanism refers to the response measures that the system or staff should take when the production parameters fall into a certain warning interval.

[0048] When it is identified that the preset production parameter falls into the first warning interval, the first reaction mechanism is triggered to display a warning notification.

[0049] Here, when the value of the preset production parameter falls into the first warning interval, it indicates that the production parameter has a slight abnormality, but it may not have a serious impact on product quality or production process. The system will trigger the first response mechanism, recorded as Alarm, which usually displays a warning notification. This notification will remind the staff to pay attention to the abnormality of the production parameter and require them to conduct further observation and monitoring. The warning notification can be sent to relevant personnel through screen display, sound prompt or text message.

[0050] If the preset production parameter falls into the second warning interval, the second reaction mechanism is triggered to control the stop of obtaining the received value sequence of the target product.

[0051] Here, when the value of the production parameter further deviates from the normal range and falls into the second warning interval, it indicates that the abnormal situation in the production process has become more obvious and may have a certain impact on product quality or production efficiency. At this time, the system will trigger the second reaction mechanism, recorded as HOLD, which usually controls the stop of obtaining the received value sequence of the target product, which means that the system will suspend the monitoring and recording of the production parameters of the target product to avoid generating more data that may be affected by the abnormality. This measure helps staff focus on dealing with current problems and prevents the problem from getting worse.

[0052] If the preset production parameter falls into the third warning interval, the third reaction mechanism is triggered to control the sending of a stop signal to the machine producing the target product and notify the staff to inspect the machine producing the target product.

[0053] Here, when the value of the production parameter seriously deviates from the normal range and falls into the third warning interval, it indicates that the abnormal situation in the production process has become very serious and may pose a serious threat to product quality or production safety. In this case, the system will trigger the third response mechanism, recorded as OCAP (Out-of-Control Action Plan), that is, sending a shutdown signal to the machine producing the target product and notifying the staff to inspect the production machine. The shutdown signal is an emergency control measure aimed at immediately stopping production activities that may cause quality problems. At the same time, notifying the staff to conduct an inspection is to find out the root cause of the problem and take necessary repair measures to ensure that production can return to normal.

[0054] Figure 4 A flowchart of displaying a warning chart provided in an embodiment of the present application.

[0055] S401. After the continuous received value abnormality rule is triggered, a warning chart is displayed.

[0056] Here, when the continuous value exception rule is triggered, it indicates that the production parameters have continuously shown abnormal values ​​for a period of time, which may have an impact on product quality or the production process. At this time, the system will display a warning chart to intuitively display these abnormal data.

[0057] Specifically, a plurality of data points are displayed on the warning chart, and these data points correspond to various production parameters collected at key points of product specifications. The attributes such as position, color or size of each data point can represent the numerical value or abnormality degree of the production parameter.

[0058] S402. In the warning chart, a first abnormal data point corresponding to the specified production parameter is displayed in a first presentation manner, and a second abnormal data point corresponding to the preset production parameter is displayed in a second presentation manner.

[0059] In addition, a warning mark is displayed at the second abnormal data point, and the warning mark is used to indicate the warning level corresponding to the warning interval into which the preset production parameter falls, and the designated production parameters are other production parameters in the target production parameters except the preset production parameters.

[0060] Here, the designated production parameters refer to the production parameters other than the preset production parameters in the target production parameters. Although these parameters also have abnormal values, their abnormal degree or importance is not as good as the preset production parameters. The first presentation mode refers to the abnormal data point corresponding to the designated production parameter (the first abnormal data point), which the system will display in a presentation mode (such as ordinary color, size or mark). This presentation mode is intended to attract the attention of the staff, but will not immediately trigger an emergency response. The second presentation mode refers to the abnormal data point corresponding to the preset production parameter (the second abnormal data point), which the system will display in a more prominent or eye-catching presentation mode (such as special color, enlarged mark or flashing). This presentation mode is intended to immediately attract the attention of the staff and prompt them to take emergency measures. The warning mark means that at the second abnormal data point, the system will also display a warning mark, which is used to indicate the warning interval and the corresponding warning level of the preset production parameter. The warning level can be set according to the abnormal degree of the production parameter or the possible impact on product quality, such as low risk, medium risk or high risk. The display of the warning mark helps the staff to quickly understand the severity of the current problem and take corresponding countermeasures.

[0061] Based on the same inventive concept, an apparatus for determining an abnormal product value received corresponding to the method for determining an abnormal product value received is also provided in an embodiment of the present application. Since the principle of solving the problem by the apparatus in the embodiment of the present application is similar to the method for determining an abnormal product value received in the embodiment of the present application, the implementation of the apparatus can refer to the implementation of the method, and the repeated parts will not be repeated.

[0062] See also Figure 5 , Figure 5 This is a schematic diagram of a product value abnormality determination device provided in an embodiment of the present application. The product value abnormality determination device 500 includes:

[0063] The acquisition module 501 is used to acquire a received value sequence of a target product, where the received value sequence includes a plurality of production parameters of the target product that are continuously collected at the same product specification key points.

[0064] The identification module 502 is used to identify multiple production parameters in the value collection sequence by using the value collection determination rule pre-bound to the target product to determine whether the continuous value collection exception rule is triggered.

[0065] The trigger module 503 is used to extract a preset production parameter with a received value anomaly in the received value sequence if the continuous received value anomaly rule is triggered, and identify the warning interval into which the preset production parameter falls, so as to trigger the target response mechanism corresponding to the warning interval.

[0066] See also Figure 6 , Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 6 As shown in , the electronic device 600 includes a processor 610 , a memory 620 and a bus 630 .

[0067] The memory 620 stores machine-readable instructions executable by the processor 610. When the electronic device 600 is running, the processor 610 communicates with the memory 620 via the bus 630. When the machine-readable instructions are executed by the processor 610, the above-mentioned Figure 1 to Figure 4 The steps of the method for determining abnormal product value receipt in the method embodiment shown in the embodiment and the specific implementation thereof can be found in the method embodiment, which will not be described in detail here.

[0068] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0069] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0070] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0071] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0072] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application can essentially be embodied in the form of a software product, or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0073] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for determining abnormal product value, characterized in that: The method comprises: Acquire a received value sequence of a target product, wherein the received value sequence includes a plurality of production parameters of the target product continuously collected at the same product specification key point; Using the collection value determination rule pre-bound to the target product, multiple production parameters in the collection value sequence are identified to determine whether a continuous collection value exception rule is triggered; If the continuous received value anomaly rule is triggered, a preset production parameter in which the received value anomaly occurs in the received value sequence is extracted, and the warning interval into which the preset production parameter falls is identified to trigger the target response mechanism corresponding to the warning interval.

2. The method according to claim 1, characterized in that The received value sequence includes a plurality of production parameters arranged in sequence according to the collection time, and the received value determination rule includes a value detection range matching the key points of the product specification, The received value sequence is identified in the following manner: For each production parameter in the received value sequence, it is determined whether the production parameter falls within the value detection range; if the production parameter does not fall within the value detection range, the production parameter is written into the abnormal queue.

3. The method according to claim 2, characterized in that Determine whether the continuous collection exception rule is triggered by the following methods: Extracting the collection time corresponding to each production parameter in the abnormal queue; Continuity identification is performed based on the extracted collection moments, so as to determine to trigger a continuous value collection exception rule when it is identified that there are a predetermined number of production parameters with continuous collection moments in the exception queue.

4. The method according to claim 3, characterized in that A preset production parameter in which an abnormal value is received in the value received sequence is extracted in the following manner: Determining a collection time of a target production parameter, wherein the target production parameter is a predetermined number of production parameters having consecutive collection times in the abnormal queue; A production parameter of the target production parameters that is collected most recently is determined as a preset production parameter.

5. The method according to claim 3, characterized in that: Also includes: After the continuous value collection exception rule is triggered, a warning chart is displayed, on which a plurality of data points are displayed, each data point corresponding to a production parameter collected at a key point of the product specification; In the warning chart, the first abnormal data point corresponding to the designated production parameter is displayed in a first presentation mode, and the second abnormal data point corresponding to the preset production parameter is displayed in a second presentation mode, and an early warning mark is displayed at the second abnormal data point, the early warning mark is used to indicate the early warning level corresponding to the early warning interval into which the preset production parameter falls, and the designated production parameter is other production parameters among the target production parameters except the preset production parameter.

6. The method according to claim 1, characterized in that Also includes: A plurality of warning intervals and a reaction mechanism corresponding to each warning interval are pre-configured for the continuous value collection abnormality rule, wherein the plurality of warning intervals include a first warning interval, and the first warning interval corresponds to a first reaction mechanism. Wherein, the target reaction mechanism is triggered in the following manner: When it is identified that the preset production parameter falls into the first warning interval, the first reaction mechanism is triggered to display a warning notification.

7. The method according to claim 6, characterized in that The multiple warning intervals also include a second warning interval, the second warning interval corresponds to a second reaction mechanism, Wherein, the target reaction mechanism is triggered in the following manner: If the preset production parameter falls into the second warning interval, the second reaction mechanism is triggered to control the stop of obtaining the received value sequence of the target product.

8. The method according to claim 6, characterized in that The multiple warning intervals also include a third warning interval, and the third warning interval corresponds to a third reaction mechanism. Wherein, the target reaction mechanism is triggered in the following manner: If the preset production parameter falls into the third warning interval, the third reaction mechanism is triggered to control the sending of a stop signal to the machine producing the target product and notify the staff to inspect the machine producing the target product.

9. A device for determining abnormal product value, characterized in that: The device comprises: An acquisition module, used for acquiring a received value sequence of a target product, wherein the received value sequence includes a plurality of production parameters of the target product collected continuously at the same product specification key point; an identification module, configured to identify a plurality of production parameters in the value collection sequence by using a value collection determination rule pre-bound to the target product, so as to determine whether a continuous value collection exception rule is triggered; The trigger module is used to extract a preset production parameter in the received value sequence where the received value exception occurs if the continuous received value exception rule is triggered, and identify the warning interval into which the preset production parameter falls, so as to trigger the target response mechanism corresponding to the warning interval.

10. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of any method as claimed in claims 1 to 8.

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