CN114527721B

CN114527721B - Method and system for monitoring online production of poly-PVC (polyvinyl chloride) modified cable granules and cloud platform

Info

Publication number: CN114527721B
Application number: CN202210436322.5A
Authority: CN
Inventors: 梁国伟; 梁国超; 熊英; 周忠明; 余巧贤
Original assignee: Guangdong Xiangli Technology Co ltd
Current assignee: Guangdong Xiangli Technology Group Co.,Ltd.
Priority date: 2022-04-25
Filing date: 2022-04-25
Publication date: 2022-08-12
Anticipated expiration: 2042-04-25
Also published as: CN114527721A

Abstract

According to the method, the system and the cloud platform for monitoring the online production of the poly-PVC modified cable granules, the target cable granule production event is an event used as a reference for monitoring the production quality, and the different identification information of different production events is determined through two dimensions of quality inspection assessment expression and a cable granule production event label, so that whether the cable granule production event to be subjected to quality monitoring is consistent with the target cable granule production event or not can be accurately and reliably positioned, and the cable granule production event to be subjected to quality monitoring can be indirectly quality inspected through the target cable granule production event.

Description

Method and system for monitoring online production of poly-PVC (polyvinyl chloride) modified cable granules and cloud platform

Technical Field

The application relates to the technical field of production monitoring, in particular to a method and a system for monitoring online production of poly-PVC modified cable granules and a cloud platform.

Background

Polyvinyl chloride (PVC), also known as PVC or PVC, is a polymer obtained by polymerizing vinyl chloride monomer by a radical polymerization mechanism under the action of an initiator such as peroxide or azo compound, or under the action of light or heat. The PVC has wide application and is widely used in the aspects of daily necessities, wires, cables, fibers and the like. For electric wires and cables, in order to ensure the use safety of the poly-PVC electric wires and cables, the production quality of poly-PVC electric wires and cables granules is of great importance, however, the related art has the problem of low precision and reliability in the production monitoring of poly-PVC electric wires and cables granules.

Disclosure of Invention

In order to solve the technical problems in the related art, the application provides a method and a system for monitoring online production of PVC modified cable granules and a cloud platform.

In a first aspect, an embodiment of the present application provides a method for monitoring online production of a poly PVC modified cable pellet, which is applied to an online production monitoring cloud platform, and the method includes:

calling a first online production report of a cable granule production event to be subjected to quality monitoring, a target quality inspection evaluation expression of a target cable granule production event and i target cable granule production event labels of the target cable granule production event; performing quality inspection evaluation analysis operation on the first online production report to obtain a first quality inspection evaluation expression of the cable aggregate production event to be subjected to quality monitoring; calling i first cable aggregate production event labels of the cable aggregate production event to be subjected to quality monitoring; wherein i is a positive integer;

and obtaining the different and identical identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event by utilizing the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression and one-to-one analysis record of the i first cable granule production event labels and the i target cable granule production event labels.

With reference to the related embodiment, the obtaining the dissimilarity identification information of the cable pellet production event to be quality monitored and the target cable pellet production event by using the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression and a one-to-one analysis record of the i first cable pellet production event tags and the i target cable pellet production event tags includes:

and on the premise that the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression is higher than a first quantitative difference index, obtaining the different identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event through the i first cable granule production event tags and the i target cable granule production event tags.

With reference to the related embodiment, on the premise that the i first cable pellet production event tags include the first production line task type of the cable pellet production event to be quality monitored, and the i target cable pellet production event tags include the target production line task type of the target cable pellet production event, obtaining the identification information of the cable pellet production event to be quality monitored and the identification information of the target cable pellet production event through the i first cable pellet production event tags and the i target cable pellet production event tags, includes:

on the premise that the first production line task type and the target production line task type meet the binding requirement, determining that the different and identical identification information comprises different and identical identification results of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a first result;

and on the premise that the first production line task type and the target production line task type do not meet the binding requirement, determining that the different and identical identification information comprises a different and identical identification result of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a second result.

With reference to the related embodiments, the i first cable pellet production event tags include a first production line task type of the cable pellet production event to be quality monitored and i first production line device status tags of the cable pellet production event to be quality monitored, and the i target cable pellet production event tags include a target production line task type of the target cable pellet production event and i target production line device status tags of the target cable pellet production event;

the obtaining the different identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event through the i first cable granule production event labels and the i target cable granule production event labels comprises:

and on the premise that the first production line task type and the target production line task type meet the binding requirement, obtaining the different identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event through the i first production line equipment state labels and the i target production line equipment state labels.

With reference to the related embodiments, the i target cable pellet production event tags include i target in-line equipment status tags of the target cable pellet production event;

the retrieving i cable granule production event labels of the cable granule production event to be subjected to quality monitoring after the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression is higher than a first quantitative difference index comprises: on the premise that the first production line task type of the cable aggregate production event to be subjected to quality monitoring is not determined, carrying out production line equipment state label mining processing on the first online production report to obtain i first production line equipment state labels of the cable aggregate production event to be subjected to quality monitoring;

the obtaining the different identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event through the i first cable granule production event labels and the i target cable granule production event labels comprises: and obtaining the different identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event through the i first production line equipment state labels and the i target production line equipment state labels.

With reference to the related embodiment, the obtaining, through the i first production line device status labels and the i target production line device status labels, the identification information of the cable pellet production event to be quality monitored and the identification information of the target cable pellet production event include:

determining whether the i first production line equipment state labels and the i target production line equipment state labels meet the binding requirement, and obtaining a first bitwise analysis record;

on the premise that the first bitwise analysis record comprises the i first production line equipment state labels and the i target production line equipment state labels and meets the binding requirements, determining that the dissimilarity identification information comprises a dissimilarity identification result of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a first result;

and on the premise that the first bitwise analysis record comprises the i first production line equipment state labels and the i target production line equipment state labels which do not meet the binding requirements, determining that the different and identical identification information comprises the different and identical identification results of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a second result.

In combination with the related embodiment, the i first production line device status labels and the i target production line device status labels both cover expected values;

before determining whether the i first production line device status labels and the i target production line device status labels meet the binding requirement and obtaining a first bitwise analysis record, the method further includes: retrieving a second quantization difference indicator, the second quantization difference indicator being higher than the first quantization difference indicator;

the determining whether the i first production line device status labels and the i target production line device status labels meet the binding requirement to obtain a first bitwise analysis record includes: determining that the first bitwise analysis record comprises i first production line device state labels corresponding to i target production line device state labels on the premise that the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression is higher than the second quantitative difference index, and the i first production line device state labels and the i target production line device state labels meet a first correlation requirement or a second correlation requirement; determining that the first bitwise analysis record includes that the i first production line device state labels do not correspond to the i target production line device state labels on the premise that the quantitative difference between the first quality inspection assessment expression and the target quality inspection assessment expression is higher than the second quantitative difference index and that the i first production line device state labels and the i target production line device state labels do not meet the first correlation requirement and the second correlation requirement;

the first association requirement comprises: the i first production line equipment state labels and the i target production line equipment state labels do not have production line equipment state labels which represent the same production line equipment state label and have expected values higher than expected value indexes;

the second association requirement comprises: a second production line device state label in the i first production line device state labels is consistent with a third production line device state label in the i target production line device state labels, the second production line device state label and the third production line device state label represent the same production line device state label, and an expected value of the second production line device state label and an expected value of the third production line device state label are both higher than the expected value index.

In combination with related embodiments, on the premise that the quantitative difference between the first quality assessment expression and the target quality assessment expression is not higher than the second quantitative difference indicator, the method further comprises:

determining that the first bitwise analysis record comprises that the i first production line equipment state labels do not correspond to the i target production line equipment state labels on the premise that no production line equipment state label representing the same production line equipment state label exists in the i first production line equipment state labels and no production line equipment state label representing the same production line equipment state label exists in the i target production line equipment state labels;

determining whether a fourth production line device status label in the i first production line device status labels and a fifth production line device status label in the i target production line device status labels meet a binding requirement, and obtaining a second bitwise analysis record, wherein an expected value of the fourth production line device status label and an expected value of the fifth production line device status label are both higher than the expected value index, and the fourth production line device status label and the fifth production line device status label represent the same production line device status label;

determining that the first bitwise analysis record includes that the i first production line device state labels correspond to the i target production line device state labels on the premise that the second bitwise analysis record includes that the fourth production line device state label and the fifth production line device state label meet the binding requirement;

and on the premise that the second bitwise analysis record comprises the fourth production line equipment state label and the fifth production line equipment state label and does not meet the binding requirement, determining that the first bitwise analysis record comprises i first production line equipment state labels and i target production line equipment state labels which do not correspond to each other.

With reference to the related embodiments, the determining whether a fourth production line device status label of the i first production line device status labels and a fifth production line device status label of the i target production line device status labels satisfy a binding requirement to obtain a second bitwise analysis record includes:

determining that the second bitwise analysis record includes a correspondence between the fourth production line device status label and the fifth production line device status label on the premise that the fourth production line device status label is consistent with the fifth production line device status label;

and on the premise that the fourth production line equipment state label is different from the fifth production line equipment state label, determining that the second bitwise analysis record comprises that the fourth production line equipment state label does not correspond to the fifth production line equipment state label.

on the premise that the fourth production line equipment state label and the fifth production line equipment state label respectively represent a first operation delay characteristic and a second operation delay characteristic, operation delay characteristic distribution of the first operation delay characteristic and the second operation delay characteristic is called;

determining that the second bitwise analysis record includes that the fourth production line device status label does not correspond to the fifth production line device status label on the premise that it is determined that the first operation delay feature and the second operation delay feature do not meet the binding requirement through the operation delay feature distribution;

and determining that the second bitwise analysis record comprises a fourth production line equipment state label corresponding to a fifth production line equipment state label on the premise that the first operation delay characteristic and the second operation delay characteristic meet the binding requirement through the operation delay characteristic distribution.

and on the premise that the i first cable granule production event labels and the i target cable granule production event labels meet the binding requirements, obtaining the different identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event through the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression.

In connection with related embodiments, the invoking a first online production report including a cable pellet production event to be quality monitored includes: calling the first online production report generated by a target production line monitoring server, wherein the target production line monitoring server is adapted to a poly-PVC modified cable aggregate production line;

the method for calling the target quality inspection evaluation expression of the target cable granule production event comprises the following steps: and on the premise of calling the first online production report generated by the target production line monitoring server, calling a quality inspection evaluation expression from a cloud storage space as the target quality inspection evaluation expression.

In a second aspect, the application also provides an online production monitoring system for the poly-PVC modified cable granules, which comprises an online production monitoring cloud platform and a target production line monitoring server, wherein the online production monitoring cloud platform and the target production line monitoring server are in quality inspection communication with each other; the online production monitoring cloud platform is used for: calling a first online production report comprising a cable aggregate production event to be subjected to quality monitoring through the target production line monitoring server, and calling a target quality inspection evaluation expression of the target cable aggregate production event and i target cable aggregate production event labels of the target cable aggregate production event; performing quality inspection evaluation analysis operation on the first online production report to obtain a first quality inspection evaluation expression of the cable aggregate production event to be subjected to quality monitoring; calling i first cable granule production event labels of the cable granule production event to be subjected to quality monitoring; wherein i is a positive integer; and obtaining the different and identical identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event by utilizing the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression and one-to-one analysis record of the i first cable granule production event labels and the i target cable granule production event labels.

In a third aspect, the application further provides an online production monitoring cloud platform, which includes a processor and a memory; the processor is connected with the memory in communication, and the processor is used for reading the computer program from the memory and executing the computer program to realize the method.

The method is applied to the embodiment of the application, can obtain the target quality inspection evaluation expression of the target cable granule production event and i target cable granule production event labels of the target cable granule production event, and determine the first quality inspection evaluation expression and i first cable granule production event labels of the cable granule production event to be subjected to quality monitoring, thus determining the different identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event by combining the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression and one-to-one analysis record of the first cable granule production event labels and the target cable granule production event labels, because the target cable granule production event is an event used as a production quality monitoring reference, the different identification information of different production events is determined by the two dimensions of the quality inspection evaluation expression and the cable granule production event labels, whether a cable granule production event to be subjected to quality monitoring is consistent with a target cable granule production event or not can be accurately and reliably positioned, so that the cable granule production event to be subjected to quality monitoring can be indirectly quality-checked through the target cable granule production event.

For example, if the target cable pellet production event is a production event passing quality monitoring, if the cable pellet production event to be quality monitored is consistent with the target cable pellet production event, the cable pellet production event to be quality monitored is also a production event passing quality monitoring, and if the cable pellet production event to be quality monitored is inconsistent with the target cable pellet production event, the cable pellet production event to be quality monitored is a production event not passing quality monitoring. And vice versa. In conclusion, through the related technical scheme, the production monitoring precision and the reliability of the PVC wire and cable aggregate can be improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

Fig. 1 is a schematic hardware structure diagram of an online production monitoring cloud platform according to an embodiment of the present application.

Fig. 2 is a schematic flow chart of a method for monitoring the online production of poly PVC modified cable pellets, provided in an embodiment of the present application.

Fig. 3 is a schematic communication architecture diagram of an online production monitoring system for poly PVC modified cable pellets, provided by an embodiment of the present application.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

The method provided by the embodiment of the application can be executed in an online production monitoring cloud platform, a computer device or a similar computing device. Taking an operation on an online production monitoring cloud platform as an example, fig. 1 is a hardware structure block diagram of an online production monitoring cloud platform implementing an online production monitoring method for poly PVC modified cable granules in an embodiment of the present application. As shown in fig. 1, the on-line production monitoring cloud platform 10 may include one or more (only one is shown in fig. 1) processors 102 (the processors 102 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data, and optionally, may further include a transmission device 106 for communication functions. It will be understood by those of ordinary skill in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the online production monitoring cloud platform. For example, the online production monitoring cloud platform 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

The memory 104 can be used for storing computer programs, for example, software programs and modules of application software, such as a computer program corresponding to the method for monitoring the online production of the PVC modified cable granules in the embodiment of the present application, and the processor 102 executes the computer program stored in the memory 104, thereby executing various functional applications and data processing, i.e. implementing the above method. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located from the processor 102, which may be connected to the online production monitoring cloud platform 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device 106 is used for receiving or transmitting data via a network. The above-described specific example of the network may include a wireless network provided by a communication provider of the online production monitoring cloud platform 10. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.

Based on this, please refer to fig. 2, fig. 2 is a schematic flow chart of an online production monitoring method for PVC modified cable granules according to an embodiment of the present invention, the method is applied to an online production monitoring cloud platform, and further includes the following technical solutions.

Step 21, calling a first online production report of a cable granule production event to be subjected to quality monitoring, a target quality inspection evaluation expression of a target cable granule production event and i target cable granule production event labels of the target cable granule production event; performing quality inspection evaluation analysis operation on the first online production report to obtain a first quality inspection evaluation expression of the cable aggregate production event to be subjected to quality monitoring; and calling i first cable granule production event labels of the cable granule production event to be subjected to quality monitoring.

In the embodiment of the present application, the first online production report may be a text report or a graphic report, but is not limited thereto, and the target cable granule production event may be understood as an event that quality monitoring is already completed, or may be understood as an event that is used as a reference for subsequent quality monitoring, and accordingly, the target quality inspection evaluation expression corresponds to a reference-type quality inspection evaluation expression. For example, a quality assessment expression may be understood as a feature vector or feature map used to perform a quality assessment content representation.

Further, the quality inspection evaluation analysis operation may be understood as feature mining for quality inspection content, and the cable granule production event tag may be understood as attribute information or element information of different dimensions of the cable granule production event, and these attribute information or element information may be used for performing event identity identification and judgment. Further, in the above embodiments, i is a positive integer.

In some possible implementations, retrieving the first online production report including the cable pellet production event to be quality monitored in step 21 may include step 211.

And step 211, calling the first online production report generated by the target production line monitoring server, wherein the target production line monitoring server is adapted to a poly-PVC modified cable granule production line.

In some possible implementations, the retrieving of the target quality control assessment expression of the target cable pellet production event in step 21 may include step 212.

And 212, on the premise of calling the first online production report generated by the target production line monitoring server, calling a quality inspection evaluation expression from a cloud storage space as the target quality inspection evaluation expression.

For example, the cloud storage space may be a relational database.

And step 22, obtaining the different identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event by utilizing the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression and one-to-one analysis record of the i first cable granule production event labels and the i target cable granule production event labels.

In the embodiment of the application, the quantitative difference can be understood as similarity/cosine distance/Euclidean distance, the one-to-one analysis record can be understood as a bit-by-bit matching result between the labels, and the dissimilarity identification information is used for representing whether a cable granule production event to be subjected to quality monitoring is consistent with a target cable granule production event, so that the quality monitoring result of the cable granule production event to be subjected to quality monitoring is indirectly determined through the quality monitoring result of the target cable granule production event.

Under some optional technical ideas, the obtaining of the dissimilarity identification information between the cable pellet production event to be quality monitored and the target cable pellet production event by using the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression and the one-to-one analysis record of the i first cable pellet production event tags and the i target cable pellet production event tags, which is described in step 22, may include the technical solution described in step 220.

Step 220, on the premise that the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression is higher than a first quantitative difference index, obtaining the identification information of the cable aggregate production event to be subjected to quality monitoring and the identification information of the target cable aggregate production event through the i first cable aggregate production event labels and the i target cable aggregate production event labels.

It is to be understood that the first/target cable pellet production event label may comprise a plurality of types of labels, as described in some examples below.

For some possible examples, on the premise that the i first cable pellet production event tags include the first production line task type of the cable pellet production event to be quality monitored, and the i target cable pellet production event tags include the target production line task type of the target cable pellet production event, obtaining the synonym identification information of the cable pellet production event to be quality monitored and the target cable pellet production event via the i first cable pellet production event tags and the i target cable pellet production event tags as described in step 220 may include the following: on the premise that the first production line task type and the target production line task type meet the binding requirement, determining that the different and identical identification information comprises different and identical identification results of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a first result; and on the premise that the first production line task type and the target production line task type do not meet the binding requirement, determining that the different and identical identification information comprises a different and identical identification result of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a second result.

For example, the binding requirement may be understood as a matching condition, the first result is that the cable pellet production event to be quality monitored is consistent with the target cable pellet production event, and the second result is that the cable pellet production event to be quality monitored is inconsistent with the target cable pellet production event.

For other possible examples, the i first cable pellet production event tags include a first in-line task type of the cable pellet production event to be quality monitored and i first in-line equipment status tags of the cable pellet production event to be quality monitored, and the i target cable pellet production event tags include a target in-line task type of the target cable pellet production event and i target in-line equipment status tags of the target cable pellet production event. In this example, obtaining the dissimilarity identification information of the cable pellet production event to be quality monitored and the target cable pellet production event through the i first cable pellet production event tags and the i target cable pellet production event tags, which is described in step 220, includes: and on the premise that the first production line task type and the target production line task type meet the binding requirement, obtaining the different identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event through the i first production line equipment state labels and the i target production line equipment state labels.

For still other possible examples, the i target cable pellet production event tags include i target in-line equipment status tags for the target cable pellet production event. Further, the retrieving of i cable granule production event labels of the cable granule production event to be quality monitored, which is described in step 21, may include what is described in step 210, on the premise that the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression is higher than the first quantitative difference index.

Step 210, on the premise that the first production line task type of the cable aggregate production event to be subjected to quality monitoring is not determined, carrying out production line equipment state label mining processing on the first online production report to obtain i first production line equipment state labels of the cable aggregate production event to be subjected to quality monitoring.

Based on the technical solution described in step 210, the obtaining of the dissimilarity identification information of the cable pellet production event to be quality monitored and the target cable pellet production event through the i first cable pellet production event tags and the i target cable pellet production event tags described in step 220 may include the following: and obtaining the different identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event through the i first production line equipment state labels and the i target production line equipment state labels.

Further, the step of obtaining the dissimilarity identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event through the i first production line device status tags and the i target production line device status tags may be implemented by the technical solutions described in steps 2201 to 2203.

Step 2201, determining whether the i first production line equipment state labels and the i target production line equipment state labels meet the binding requirements, and obtaining a first bitwise analysis record.

In some further embodiments, the i first production line device status labels and the i target production line device status labels both encompass expected values (confidence levels).

Based on this, before determining whether the i first production line device status labels and the i target production line device status labels satisfy the binding requirement in step 2201, and obtaining the first bitwise analysis record, the method further includes: and calling a second quantization difference index, wherein the second quantization difference index is higher than the first quantization difference index.

After retrieving the second quantitative difference index, the determining whether the i first production line device status labels and the i target production line device status labels meet the binding requirement in step 2201 to obtain a first bitwise analysis record, which may include the following: determining that the first bitwise analysis record comprises i first production line device state labels corresponding to i target production line device state labels on the premise that the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression is higher than the second quantitative difference index, and the i first production line device state labels and the i target production line device state labels meet a first correlation requirement or a second correlation requirement; and on the premise that the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression is higher than the second quantitative difference index, and the i first production line equipment state labels and the i target production line equipment state labels do not meet the first relevance requirement and the second relevance requirement, determining that the first bitwise analysis record comprises that the i first production line equipment state labels do not correspond to the i target production line equipment state labels. By the design, the accuracy of the analysis of the matching result of the label can be further guaranteed by combining different relevance requirements.

For example, the first association requirement includes: the i first production line equipment state labels and the i target production line equipment state labels do not have production line equipment state labels which represent the same production line equipment state label and have expected values higher than expected value indexes; the second association requirement comprises: a second production line device state label in the i first production line device state labels is consistent with a third production line device state label in the i target production line device state labels, the second production line device state label and the third production line device state label represent the same production line device state label, and an expected value of the second production line device state label and an expected value of the third production line device state label are both higher than the expected value index.

Step 2202, on the premise that the first bitwise analysis record includes the i first production line device state labels and the i target production line device state labels and meets the binding requirements, determining that the dissimilarity identification information includes a dissimilarity identification result of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a first result.

Step 2203, on the premise that the first bitwise analysis record includes that the i first production line device state labels and the i target production line device state labels do not meet the binding requirements, determining that the dissimilarity identification information includes a dissimilarity identification result of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a second result.

Through the steps 2201 to 2203, whether different production line equipment state labels meet the binding requirements can be accurately determined based on the bitwise analysis records, so that the precision and the reliability of the synonym identification result are guaranteed.

For some optional implementations, the obtaining of the dissimilarity identification information of the cable pellet production event to be quality monitored and the target cable pellet production event by using the quantitative difference between the first quality control evaluation expression and the target quality control evaluation expression and the one-to-one analysis record of the i first cable pellet production event tags and the i target cable pellet production event tags, which is described in step 22, may include the following: and on the premise that the i first cable granule production event labels and the i target cable granule production event labels meet the binding requirements, obtaining the different identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event through the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression.

In some other embodiments, the method further comprises the steps 31-34 on the premise that the quantitative difference between the first quality test assessment expression and the target quality test assessment expression is not higher than the second quantitative difference indicator.

Step 31, on the premise that no production line device status label representing the same production line device status label exists in the i first production line device status labels and the i target production line device status labels, and the expected value is higher than the expected value index, determining that the first bitwise analysis record includes that the i first production line device status labels do not correspond to the i target production line device status labels.

Step 32, determining whether a fourth production line device status label in the i first production line device status labels and a fifth production line device status label in the i target production line device status labels meet a binding requirement, and obtaining a second bitwise analysis record.

The expected value of the fourth production line equipment state label and the expected value of the fifth production line equipment state label are both higher than the expected value index, and the fourth production line equipment state label and the fifth production line equipment state label represent the same production line equipment state label.

For some possible embodiments, the determining, described in step 32, whether the fourth production line device status label in the i first production line device status labels and the fifth production line device status label in the i target production line device status labels satisfy the binding requirement to obtain the second bitwise analysis record may be implemented by: determining that the second bitwise analysis record includes a correspondence between the fourth production line device status label and the fifth production line device status label on the premise that the fourth production line device status label is consistent with the fifth production line device status label; and on the premise that the fourth production line equipment state label is different from the fifth production line equipment state label, determining that the second bitwise analysis record comprises that the fourth production line equipment state label does not correspond to the fifth production line equipment state label.

For other possible embodiments, the determining whether the fourth production line device status label in the i first production line device status labels and the fifth production line device status label in the i target production line device status labels satisfy the binding requirement to obtain the second bitwise analysis record described in step 32 may be implemented by: on the premise that the fourth production line equipment state label and the fifth production line equipment state label respectively represent a first operation delay characteristic and a second operation delay characteristic, operation delay characteristic distribution of the first operation delay characteristic and the second operation delay characteristic is called; determining that the second bitwise analysis record includes that the fourth production line device status label does not correspond to the fifth production line device status label on the premise that it is determined that the first operation delay feature and the second operation delay feature do not meet the binding requirement through the operation delay feature distribution; and on the premise that the first operation delay characteristic and the second operation delay characteristic meet the binding requirement through the operation delay characteristic distribution, determining that the second bitwise analysis record comprises a fourth production line equipment state label corresponding to a fifth production line equipment state label. By the design, the comprehensive performance and reliability of label binding analysis can be guaranteed by introducing the delay characteristic for analysis.

Step 33, on the premise that the second bitwise analysis record includes that the fourth production line device status label and the fifth production line device status label meet the binding requirement, determining that the first bitwise analysis record includes that the i first production line device status labels correspond to the i target production line device status labels.

And step 34, on the premise that the second bitwise analysis record comprises the fourth production line equipment state label and the fifth production line equipment state label and does not meet the binding requirement, determining that the first bitwise analysis record comprises i first production line equipment state labels and i target production line equipment state labels which are not corresponding to each other.

By adopting the design, the steps 31-34 can be combined with the binding requirement and the production line equipment state label to comprehensively judge the result of the first bitwise analysis record, so that the accuracy and the reliability of the bitwise analysis are guaranteed.

In summary, since the target cable pellet production event is an event serving as a reference for production quality monitoring, and the dissimilarity identification information of different production events is determined through two dimensions of quality inspection evaluation expression and cable pellet production event labels, whether the cable pellet production event to be subjected to quality monitoring is consistent with the target cable pellet production event can be accurately and reliably positioned, so that the cable pellet production event to be subjected to quality monitoring can be indirectly quality inspected through the target cable pellet production event. For example, if the target cable pellet production event is a production event passing quality monitoring, if the cable pellet production event to be quality monitored is consistent with the target cable pellet production event, the cable pellet production event to be quality monitored is also a production event passing quality monitoring, and if the cable pellet production event to be quality monitored is inconsistent with the target cable pellet production event, the cable pellet production event to be quality monitored is a production event not passing quality monitoring. And vice versa. In conclusion, through the related technical scheme, the production monitoring precision and the reliability of the PVC wire and cable aggregate can be improved.

Based on the same or similar inventive concept, as shown in fig. 3, an architecture schematic diagram of an online production monitoring system 30 for poly PVC modified cable granules is further provided in the embodiment of the present application, and the system includes an online production monitoring cloud platform 10 and a target production line monitoring server 20, which are in communication with each other. Wherein, online production monitoring cloud platform 10 is used for: calling a first online production report including a cable aggregate production event to be subjected to quality monitoring through the target production line monitoring server 20, and calling a target quality inspection evaluation expression of the target cable aggregate production event and i target cable aggregate production event labels of the target cable aggregate production event; performing quality inspection evaluation analysis operation on the first online production report to obtain a first quality inspection evaluation expression of the cable aggregate production event to be subjected to quality monitoring; calling i first cable granule production event labels of the cable granule production event to be subjected to quality monitoring; wherein i is a positive integer; and obtaining the different and identical identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event by utilizing the quantitative difference between the first quality testing evaluation expression and the target quality testing evaluation expression and a one-to-one analysis record of the i first cable aggregate production event labels and the i target cable aggregate production event labels.

Further, an embodiment of the present application also provides a readable storage medium, on which a program is stored, and the program, when executed by a processor, implements the method described above.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a media service server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A monitoring method for online production of poly PVC modified cable granules is applied to an online production monitoring cloud platform, and comprises the following steps:

calling a first online production report of a cable granule production event to be subjected to quality monitoring, a target quality inspection evaluation expression of a target cable granule production event and i target cable granule production event labels of the target cable granule production event; performing quality inspection evaluation analysis operation on the first online production report to obtain a first quality inspection evaluation expression of the cable aggregate production event to be subjected to quality monitoring; calling i first cable granule production event labels of the cable granule production event to be subjected to quality monitoring; wherein i is a positive integer;

and obtaining the different and identical identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event by utilizing the quantitative difference between the first quality testing evaluation expression and the target quality testing evaluation expression and a one-to-one analysis record of the i first cable aggregate production event labels and the i target cable aggregate production event labels.

2. The method of claim 1, wherein the obtaining of the identity information of the cable pellet production event to be quality monitored and the target cable pellet production event using the quantitative difference between the first quality control assessment expression and the target quality control assessment expression and a one-to-one analysis record of the i first cable pellet production event tags and the i target cable pellet production event tags comprises:

and on the premise that the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression is higher than a first quantitative difference index, obtaining the identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event through the i first cable aggregate production event tags and the i target cable aggregate production event tags.

3. The method according to claim 2, wherein on the premise that the i first cable pellet production event labels include the first in-line task type of the cable pellet production event to be quality-monitored, and the i target cable pellet production event labels include the target in-line task type of the target cable pellet production event, said obtaining the synonym identification information of the cable pellet production event to be quality-monitored and the target cable pellet production event via the i first cable pellet production event labels and the i target cable pellet production event labels comprises:

4. The method of claim 2, wherein the i first cable pellet production event labels comprise a first in-line task type of the cable pellet production event to be quality monitored and i first in-line equipment status labels of the cable pellet production event to be quality monitored, and the i target cable pellet production event labels comprise a target in-line task type of the target cable pellet production event and i target in-line equipment status labels of the target cable pellet production event;

and on the premise that the first production line task type and the target production line task type meet the binding requirement, obtaining the similarity and dissimilarity identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event through the i first production line equipment state labels and the i target production line equipment state labels.

5. The method of claim 2, wherein the i target cable pellet production event tags comprise i target in-line equipment status tags for the target cable pellet production event;

the obtaining the different identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event through the i first cable granule production event labels and the i target cable granule production event labels comprises: obtaining the different and identical identification information of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event through the i first production line equipment state labels and the i target production line equipment state labels;

the obtaining, via the i first production line device status labels and the i target production line device status labels, the identification information of the cable aggregate production event to be quality monitored and the identification information of the target cable aggregate production event includes:

on the premise that the first bitwise analysis record comprises the i first production line equipment state labels and the i target production line equipment state labels which do not meet the binding requirements, determining that the different and identical identification information comprises a different and identical identification result of the cable aggregate production event to be subjected to quality monitoring and the target cable aggregate production event as a second result;

the i first production line equipment state labels and the i target production line equipment state labels both cover expected values;

the second association requirement comprises: a second production line device status label in the i first production line device status labels is consistent with a third production line device status label in the i target production line device status labels, the second production line device status label and the third production line device status label represent the same production line device status label, and an expected value of the second production line device status label and an expected value of the third production line device status label are both higher than the expected value index;

wherein, on the premise that the quantitative difference between the first quality test assessment expression and the target quality test assessment expression is not higher than the second quantitative difference indicator, the method further comprises:

6. The method of claim 5, wherein the determining whether a fourth one of the i first production line device status labels and a fifth one of the i target production line device status labels satisfy a binding requirement to obtain a second bitwise analysis record comprises:

7. The method of claim 5, wherein the determining whether a fourth one of the i first production line device status labels and a fifth one of the i target production line device status labels satisfy a binding requirement to obtain a second bitwise analysis record comprises:

8. The method of claim 1, wherein the obtaining of the identity information of the cable pellet production event to be quality monitored and the target cable pellet production event using the quantitative difference between the first quality control assessment expression and the target quality control assessment expression and a one-to-one analysis record of the i first cable pellet production event tags and the i target cable pellet production event tags comprises: on the premise that the i first cable granule production event labels and the i target cable granule production event labels meet the binding requirements, obtaining the different and identical identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event through the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression;

wherein the retrieving a first online production report including a cable pellet production event to be quality monitored comprises: calling the first online production report generated by a target production line monitoring server, wherein the target production line monitoring server is adapted to a poly-PVC modified cable aggregate production line; the method for calling the target quality inspection evaluation expression of the target cable granule production event comprises the following steps: and on the premise of calling the first online production report generated by the target production line monitoring server, calling a quality inspection evaluation expression from a cloud storage space as the target quality inspection evaluation expression.

9. A poly PVC modified cable aggregate online production monitoring system is characterized by comprising an online production monitoring cloud platform and a target production line monitoring server which are in quality inspection communication with each other;

the online production monitoring cloud platform is used for: calling a first online production report including a cable aggregate production event to be subjected to quality monitoring through the target production line monitoring server, and calling a target quality inspection evaluation expression of the target cable aggregate production event and i target cable aggregate production event labels of the target cable aggregate production event; performing quality inspection evaluation analysis operation on the first online production report to obtain a first quality inspection evaluation expression of the cable aggregate production event to be subjected to quality monitoring; calling i first cable granule production event labels of the cable granule production event to be subjected to quality monitoring; wherein i is a positive integer; and obtaining the different and identical identification information of the cable granule production event to be subjected to quality monitoring and the target cable granule production event by utilizing the quantitative difference between the first quality inspection evaluation expression and the target quality inspection evaluation expression and one-to-one analysis record of the i first cable granule production event labels and the i target cable granule production event labels.

10. An online production monitoring cloud platform is characterized by comprising a processor and a memory; the processor is connected in communication with the memory, and the processor is configured to read the computer program from the memory and execute the computer program to implement the method of any one of claims 1 to 8.