CN117893101B - Production quality evaluation method, system and storage medium for bond alloy wires - Google Patents
Production quality evaluation method, system and storage medium for bond alloy wires Download PDFInfo
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Abstract
The invention relates to a production quality assessment method, a system and a storage medium of a bond alloy wire, belonging to the technical field of bond alloy wire quality assessment. The invention can find out whether the cooling performance of the cooling device meets the preset requirement in the production process of the bond alloy wire in time, thereby reducing the condition of the increase of the production process cost of the bond alloy wire caused by the event.
Description
Technical Field
The invention relates to the technical field of bond alloy wire evaluation, in particular to a production quality evaluation method, a production quality evaluation system and a storage medium of bond alloy wires.
Background
With the development of large-scale and ultra-large-scale integrated circuits, the requirements on packaging materials are higher and higher, in particular to bond alloy wires and wire diameter requirements are thinner and thinner, and various performance indexes such as machinery, chemistry, electricity and the like also need to meet the packaging requirements. And the semiconductor device is required not only to have high performance but also to have low cost. To reduce the high cost of a fine gold wire as a material thereof, the diameter of the gold wire is becoming finer and finer. The miniaturization of gold wires not only can reduce the cost of the required gold wires, but also is suitable for high-density packaging. One of the key processes for producing the bond alloy wire is gold rod vacuum continuous casting, and the process firstly aims to ensure the uniformity and consistency of the crystal structure of the ingot, and the quality and consistency of the crystal structure are closely related to the control of crystallization cooling water, so that the cooling performance of a cooling device entering a crystallizer for cooling a copper sleeve is kept below a preset range in the casting process, and the process is a necessary measure for ensuring smooth production, improving the yield and improving the product performance. However, the cooling performance of the cooling device of the bond alloy wire is degraded to a certain extent with time, if the cooling performance cannot be found in time, certain economic loss is caused to users, such as the fact that the produced defective products need to be reprocessed, repeated processing cost is generated in the process, and the production cost of the bond alloy wire is increased.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a production quality evaluation method, a production quality evaluation system and a storage medium of a bond alloy wire.
In order to achieve the above purpose, the invention adopts the following technical scheme:
The first aspect of the invention provides a production quality evaluation method of a bond alloy wire, which comprises the following steps:
acquiring historical operation characteristic data information of the cooling device in the production process of the bond alloy wire, and constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device;
Predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, and identifying the cooling performance characteristic data of the cooling device in the production process of the current time stamp to obtain an abnormally-working cooling device and a normally-working cooling device;
Acquiring production quality requirement information of the key alloy wires in each production line, and generating related production control instructions according to the production quality requirements of the key alloy wires in each production line when the cooling device is a cooling device working abnormally;
when the cooling device is a cooling device which works normally, relevant regulation and control parameters are generated according to the production quality requirement information of the bond alloy wires in each production line, and the cooling device is regulated and controlled based on the relevant regulation and control parameters.
Further, in the method, the historical operation characteristic data information of the cooling device of the bond alloy wire in the production process is obtained, and a cooling performance characteristic prediction model of the cooling device is constructed according to the historical operation characteristic data information of the cooling device, and the method specifically comprises the following steps:
Acquiring historical operation characteristic data information of the cooling device in the production process of the key alloy wire, dividing the historical operation characteristic data information of the cooling device according to preset time periods, acquiring historical operation characteristic data of the cooling device in a plurality of preset time periods, and drawing a first operation characteristic data change graph based on the historical operation characteristic data of the cooling device in the plurality of preset time periods;
Acquiring operation characteristic data information of the cooling device in the current key alloy wire production process within a preset time, and drawing a second operation characteristic data change curve graph according to the operation characteristic data information of the cooling device in the current key alloy wire production process within the preset time;
Dividing the second operation characteristic data change curve graph according to a preset time period, generating a third operation characteristic data change curve graph, and calculating the Manhattan distance between the first operation characteristic data change curve graph and the third operation characteristic data change curve graph of the cooling device in the same working time length;
When the Manhattan distance is lower than a preset Manhattan distance threshold, taking the cooling device corresponding to the first operation characteristic data change curve graph as a cooling performance migration target, constructing cooling performance migration target change data based on time sequence,
And constructing a cooling device cooling performance characteristic prediction model based on the deep neural network, and inputting cooling performance migration target change data based on a time sequence into the cooling device cooling performance characteristic prediction model to perform coding learning.
Further, in the method, the cooling performance characteristic data of the cooling device in the production process of the current time stamp is predicted based on the cooling performance characteristic prediction model of the cooling device, and specifically includes:
Acquiring operation characteristic data information of the cooling device in the production process within a preset time, and acquiring a cooling performance migration target of the cooling device in a preset time period according to the operation characteristic data information of the cooling device in the production process within the preset time;
inputting the cooling performance migration target in a preset time period into a cooling performance characteristic prediction model of the cooling device to predict, and obtaining the cooling performance migration target of the cooling device in the current time stamp;
And acquiring historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp, and outputting the historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp as cooling performance characteristic data of the cooling device in the production process of the current time stamp.
Further, in the method, the cooling performance characteristic data of the cooling device in the production process of the current timestamp is identified, and the cooling device with abnormal operation and the cooling device with normal operation are obtained, which specifically comprises the following steps:
Presetting a cooling performance characteristic data threshold value, and judging whether cooling performance characteristic data of a cooling device in the production process of the current time stamp is larger than the cooling performance characteristic data threshold value or not;
When the cooling performance characteristic data of the cooling device in the production process of the current time stamp is larger than the cooling performance characteristic data threshold value, the corresponding cooling device is used as a cooling device which works normally;
when the cooling performance characteristic data of the cooling device in the production process of the current time stamp is not more than the cooling performance characteristic data threshold value, the corresponding cooling device is used as the cooling device which works abnormally;
And outputting the cooling device which works abnormally and the cooling device which works normally as output results.
Further, in the method, the production quality requirement information of the bond alloy wires in each production line is obtained, and when the cooling device is a cooling device working abnormally, a relevant production control instruction is newly generated according to the production quality requirement of the bond alloy wires in each production line, and the method specifically comprises the following steps:
Acquiring production quality requirement information of the key alloy wires in each production line, acquiring real-time cooling performance data information of the cooling device which works abnormally when the cooling device is the cooling device which works abnormally, and acquiring cooling performance data information required by each production quality requirement information through big data;
Constructing a knowledge graph according to the production quality requirement information of the key alloy wires in each production line, inputting the production quality requirement information of the key alloy wires in each production line into the knowledge graph for data matching, and acquiring cooling performance data information required under the current production quality requirement information;
Judging whether the real-time cooling performance data information of the cooling device which works abnormally is larger than the cooling performance data information required by the current production quality requirement information, and if so, generating a continuous processing instruction;
And when the real-time cooling performance data information of the abnormally operated cooling device is not more than the cooling performance data information required under the current production quality requirement information, generating a machining stopping instruction, and carrying out early warning according to the machining stopping instruction.
Further, in the method, when the cooling device is a cooling device that works normally, relevant regulation parameters are generated according to the production quality requirement information of the bond alloy wires in each production line, and the cooling device is regulated and controlled based on the relevant regulation parameters, which specifically includes:
when the cooling device is a cooling device which works normally, acquiring cooling performance data information required in each production line according to production quality requirement information and a knowledge graph of the bond alloy wires in each production line;
acquiring real-time operation characteristic data of the cooling device in each production line, and comparing the required cooling performance data information in the production line with the real-time operation characteristic data of the cooling device in the production line to obtain a deviation rate;
A deviation rate threshold value is preset, whether the deviation rate is larger than the deviation rate threshold value is judged, and when the deviation rate is larger than the preset deviation rate threshold value, cooling performance data information required in the production line is used as a regulating and controlling reference;
And calculating a difference value between the regulation reference and the real-time operation characteristic data of the cooling device in the production line, generating relevant regulation parameters according to the difference value, and carrying out cooling regulation on the cooling device based on the relevant regulation parameters.
The second aspect of the present invention provides a production quality evaluation system for a bond alloy wire, the production quality evaluation system for a bond alloy wire including a memory and a processor, the memory including a production quality evaluation method program for a bond alloy wire, the production quality evaluation method program for a bond alloy wire, when executed by the processor, implementing the steps of:
acquiring historical operation characteristic data information of the cooling device in the production process of the bond alloy wire, and constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device;
Predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, and identifying the cooling performance characteristic data of the cooling device in the production process of the current time stamp to obtain an abnormally-working cooling device and a normally-working cooling device;
Acquiring production quality requirement information of the key alloy wires in each production line, and generating related production control instructions according to the production quality requirements of the key alloy wires in each production line when the cooling device is a cooling device working abnormally;
when the cooling device is a cooling device which works normally, relevant regulation and control parameters are generated according to the production quality requirement information of the bond alloy wires in each production line, and the cooling device is regulated and controlled based on the relevant regulation and control parameters.
A third aspect of the present invention provides a computer-readable storage medium containing therein a production quality evaluation method program of a bond wire, which when executed by a processor, implements the steps of the production quality evaluation method of any one of the bond wires.
The invention solves the defects existing in the background technology, and has the following beneficial effects:
According to the invention, by acquiring historical operation characteristic data information of the cooling device in the production process of the bond alloy wire, constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device, predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, identifying the cooling performance characteristic data of the cooling device in the production process of the current time stamp, acquiring the cooling device which works abnormally and the cooling device which works normally, acquiring production quality requirement information of the bond alloy wire in each production line, generating a relevant production control instruction according to the production quality requirement of the bond alloy wire in each production line when the cooling device is the cooling device which works abnormally, and finally generating relevant regulation parameters according to the production quality requirement information of the bond alloy wire in each production line when the cooling device is the cooling device which works normally, and carrying out cooling regulation and control on the cooling device based on the relevant regulation parameters. According to the method, the cooling migration performance target of the cooling device in the generation process of the bond alloy wire is predicted, migration comparison can be accurately performed with historical operation data, the migration target direction of the cooling performance of the cooling device can be accurately predicted, and the prediction accuracy of the cooling performance of the cooling device is improved. On the other hand, the invention can find out whether the cooling performance of the cooling device meets the preset requirement in the production process of the bond alloy wire in time, thereby reducing the condition of the increase of the production process cost of the bond alloy wire caused by the event.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other embodiments of the drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 shows an overall process flow diagram of a method for evaluating the production quality of a bond wire;
FIG. 2 shows a first method flow diagram of a method of quality of bond wire production assessment;
FIG. 3 shows a second method flow diagram of a method of quality assessment of bond wire production;
fig. 4 shows a system block diagram illustrating a production quality evaluation system of a bond wire.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
As shown in fig. 1, a first aspect of the present invention provides a method for evaluating production quality of a bond alloy wire, comprising the steps of:
S102, acquiring historical operation characteristic data information of a cooling device in the production process of the bond alloy wire, and constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device;
s104, predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, and identifying the cooling performance characteristic data of the cooling device in the production process of the current time stamp to obtain an abnormally-working cooling device and a normally-working cooling device;
S106, acquiring production quality requirement information of the key alloy wires in each production line, and generating related production control instructions according to the production quality requirements of the key alloy wires in each production line when the cooling device is a cooling device which works abnormally;
S108, when the cooling device is a cooling device which works normally, generating relevant regulation and control parameters according to the production quality requirement information of the bond alloy wires in each production line, and carrying out cooling regulation and control on the cooling device based on the relevant regulation and control parameters.
The method and the device can accurately carry out migration comparison with historical operation data by predicting the cooling migration performance target of the cooling device in the process of generating the bond alloy wire, so that the migration target direction of the cooling performance of the cooling device can be accurately predicted, and the prediction accuracy of the cooling performance of the cooling device is improved. On the other hand, the invention can find out whether the cooling performance of the cooling device meets the preset requirement in the production process of the bond alloy wire in time, thereby reducing the condition of the increase of the production process cost of the bond alloy wire caused by the event.
Further, in the method, the historical operation characteristic data information of the cooling device of the bond alloy wire in the production process is obtained, and a cooling performance characteristic prediction model of the cooling device is constructed according to the historical operation characteristic data information of the cooling device, and the method specifically comprises the following steps:
Acquiring historical operation characteristic data information of the cooling device in the production process of the key alloy wire, dividing the historical operation characteristic data information of the cooling device according to preset time periods, acquiring historical operation characteristic data of the cooling device in a plurality of preset time periods, and drawing a first operation characteristic data change graph based on the historical operation characteristic data of the cooling device in the plurality of preset time periods;
Acquiring operation characteristic data information of the cooling device in the current key alloy wire production process within a preset time, and drawing a second operation characteristic data change curve graph according to the operation characteristic data information of the cooling device in the current key alloy wire production process within the preset time;
Dividing the second operation characteristic data change curve graph according to a preset time period, generating a third operation characteristic data change curve graph, and calculating the Manhattan distance between the first operation characteristic data change curve graph and the third operation characteristic data change curve graph of the cooling device in the same working time length;
When the Manhattan distance is lower than a preset Manhattan distance threshold, taking the cooling device corresponding to the first operation characteristic data change curve graph as a cooling performance migration target, constructing cooling performance migration target change data based on time sequence,
And constructing a cooling device cooling performance characteristic prediction model based on the deep neural network, and inputting cooling performance migration target change data based on a time sequence into the cooling device cooling performance characteristic prediction model to perform coding learning.
The operation characteristic data information includes temperature information of the cooling water in the cooling device, temperature increase data of the cooling water in a unit time, replacement rate of the cooling water in a unit time, and the like. In practice, the historical operating characteristic data information of the cooling device in the production process of the bond alloy wire is equivalent to one big data, and the historical operating characteristic data information of a plurality of cooling devices are arranged in the bond alloy wire. In fact, performance degradation occurs after a certain period of use of the cooling device, such as clogging of a water pipe, which results in a low rate of water replacement per unit time, thereby resulting in a reduction in cooling capacity. And wherein the cooling device is identical to the historical operating characteristic data information (first operating characteristic data change curve) of one cooling device within one period of time and is identical to the historical operating characteristic data information (first operating characteristic data change curve) of another cooling device within another period of time due to the change of the working condition. Thus, the cooling performance migration occurs by rapidly changing the cooling device operation characteristic data information similar to one cooling device operation characteristic data information similar to the other cooling device operation characteristic data information within a certain period of time, and thus, a cooling performance migration target change data based on a time sequence is formed. When the Manhattan distance is lower than a preset Manhattan distance threshold, the similarity between the first operation characteristic data change curve graph and the third operation characteristic data change curve graph is high, and the cooling device corresponding to the first operation characteristic data change curve graph is used as a cooling performance migration target.
Further, in the method, the cooling performance characteristic data of the cooling device in the production process of the current time stamp is predicted based on the cooling performance characteristic prediction model of the cooling device, and specifically includes:
Acquiring operation characteristic data information of the cooling device in the production process within a preset time, and acquiring a cooling performance migration target of the cooling device in a preset time period according to the operation characteristic data information of the cooling device in the production process within the preset time;
inputting the cooling performance migration target in a preset time period into a cooling performance characteristic prediction model of the cooling device to predict, and obtaining the cooling performance migration target of the cooling device in the current time stamp;
And acquiring historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp, and outputting the historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp as cooling performance characteristic data of the cooling device in the production process of the current time stamp.
By the method, the cooling performance characteristic data of the cooling device in the production process of the current time stamp can be predicted.
Further, in the method, the cooling performance characteristic data of the cooling device in the production process of the current timestamp is identified, and the cooling device with abnormal operation and the cooling device with normal operation are obtained, which specifically comprises the following steps:
Presetting a cooling performance characteristic data threshold value, and judging whether cooling performance characteristic data of a cooling device in the production process of the current time stamp is larger than the cooling performance characteristic data threshold value or not;
When the cooling performance characteristic data of the cooling device in the production process of the current time stamp is larger than the cooling performance characteristic data threshold value, the corresponding cooling device is used as a cooling device which works normally;
when the cooling performance characteristic data of the cooling device in the production process of the current time stamp is not more than the cooling performance characteristic data threshold value, the corresponding cooling device is used as the cooling device which works abnormally;
And outputting the cooling device which works abnormally and the cooling device which works normally as output results.
It should be noted that the cooling performance characteristic data threshold is a threshold standard set by a person, for example, the cooling temperature in a unit time is 10 degrees celsius, and a user may set the threshold according to the actual situation in order to monitor the cooling performance of the cooling device. Wherein the abnormally operated cooling device represents only a cooling device in which the cooling performance characteristic data of the cooling device is not greater than the cooling performance characteristic data threshold value in the production process of the current time stamp.
As shown in fig. 2, further, in the method, the production quality requirement information of the bond alloy wire in each production line is obtained, and when the cooling device is a cooling device working abnormally, a relevant production control instruction is newly generated according to the production quality requirement of the bond alloy wire in each production line, which specifically includes:
s202, acquiring production quality requirement information of key alloy wires in each production line, acquiring real-time cooling performance data information of the cooling device which works abnormally when the cooling device is the cooling device which works abnormally, and acquiring cooling performance data information required by each production quality requirement information through big data;
S204, constructing a knowledge graph according to the production quality requirement information of the key alloy wires in each production line, inputting the production quality requirement information of the key alloy wires in each production line into the knowledge graph for data matching, and acquiring cooling performance data information required under the current production quality requirement information;
S206, judging whether the real-time cooling performance data information of the cooling device which works abnormally is larger than the cooling performance data information required by the current production quality requirement information, and if so, generating a continuous processing instruction;
And S208, when the real-time cooling performance data information of the cooling device which works abnormally is not more than the cooling performance data information required by the current production quality requirement information, generating a machining stopping instruction, and carrying out early warning according to the machining stopping instruction.
The production quality requirement information of the bonding alloy wires in the production line comprises data such as bonding strength, tensile strength, extensibility and the like of the bonding alloy wires. The cooling performance of the cooling device required by each production quality requirement information is inconsistent because the gold rod is subjected to the process procedures of vacuum continuous casting, normalizing, annealing, cooling and the like in the production process, and the cooling performance of the cooling device is required to be high when the high-bond alloy wire is required. When the real-time cooling performance data information of the abnormally operated cooling device is greater than the cooling performance data information required under the current production quality requirement information, it is sufficient to indicate that the current requirement. On the contrary, the cooling performance of the cooling device is not satisfactory. The method can further improve the rationality of the production and processing of the bond alloy wires.
As shown in fig. 3, in the method, when the cooling device is a cooling device that works normally, relevant regulation parameters are generated according to the production quality requirement information of the bond alloy wires in each production line, and the cooling regulation is performed on the cooling device based on the relevant regulation parameters, which specifically includes:
S302, when the cooling device is a cooling device which works normally, acquiring cooling performance data information required in each production line according to production quality requirement information of the bond alloy wires in each production line and a knowledge graph;
S304, acquiring real-time operation characteristic data of the cooling device in each production line, and comparing the required cooling performance data information in the production line with the real-time operation characteristic data of the cooling device in the production line to obtain a deviation rate;
S306, presetting a deviation rate threshold, judging whether the deviation rate is larger than the deviation rate threshold, and taking cooling performance data information required in the production line as a regulating reference when the deviation rate is larger than the preset deviation rate threshold;
And S308, calculating a difference value between the regulation reference and the real-time operation characteristic data of the cooling device in the production line, generating relevant regulation parameters according to the difference value, and carrying out cooling regulation on the cooling device based on the relevant regulation parameters.
The method can be used for cooling and regulating the cooling device according to actual operation characteristic data, so that the real-time performance of the cooling device meets the production requirement of the bond alloy wire, the defective rate of the bond alloy wire is reduced, and the production cost of the bond alloy wire is reduced.
In addition, the method can further comprise the following steps:
acquiring production order demand information of the current bond alloy wires, acquiring cooling performance data information of cooling devices in the production line of each current bond alloy wire, and judging whether the cooling performance data information of the cooling devices in the production line of the bond alloy wires meets production quality information in the current production order;
When the cooling performance data information of the cooling device in the production line of the bond alloy wire meets the production quality information in the current production order, the current production line is used as a priority production line of the current production order;
When the cooling performance data information of the cooling device in the production line of the bond alloy wire does not meet the production quality information in the current production order, the corresponding production line is used as an abnormal production line;
acquiring historical production capacity data information of a prior production line of a current production order within a preset production time, introducing a genetic algorithm, initializing combination information of the production line, and calculating total production capacity data information according to the historical production capacity data information of the prior production line of the current production order and the combination information of the production line;
Setting a genetic algebra according to the genetic algorithm, adjusting the combination information of the production line when the total production volume data information is lower than the production order demand information of the current bond alloy wire, carrying out genetic iteration according to the genetic algebra, outputting the combination information of the production line when the total production volume data information is not lower than the production order demand information of the current bond alloy wire, and carrying out the production of the bond alloy wire according to the combination information of the production line.
It should be noted that the combination information of the production line is a combination of one or more production lines, and the combination information of the production line is optimized according to the performance condition of the cooling device through a genetic algorithm, so that the production rationality is improved.
In addition, the method can further comprise the following steps:
When the genetic algebra reaches the maximum value and the total production volume data information is still lower than the production order demand information of the current bond alloy wire, acquiring the total production volume data information when the genetic algebra is maximum;
calculating a production allowance difference value according to the total production volume data information when the genetic algebra is maximum and the production order demand information of the current bond alloy wire, and acquiring production quality data information of a production line in an abnormal production line and the current bond alloy wire;
Acquiring cooling performance data information of a cooling device according to the production quality data information of the current key alloy wire, and searching related cooling devices according to the cooling performance data information of the cooling device to acquire the model and specification information of the proper cooling device;
And adjusting the cooling device of the abnormal production line according to the model and specification information of the proper cooling device, predicting production data information of each adjusted abnormal production line, and readjusting the combination information of the production lines according to the genetic algorithm and the production data information of the adjusted abnormal production line.
It should be noted that, in practice, many cooling devices may not meet the production quality requirement of the bond wires, and the cooling device is adjusted according to the model and specification information of the suitable cooling device, so that the combination information of the production line is readjusted, so that the user can intelligently adjust according to the actual situation, and the rationality of production is improved.
As shown in fig. 4, a second aspect of the present invention provides a production quality evaluation system 4 for a bond wire, where the production quality evaluation system 4 for a bond wire includes a memory 41 and a processor 42, and the memory 41 includes a production quality evaluation method program for a bond wire, and when the production quality evaluation method program for a bond wire is executed by the processor 42, the following steps are implemented:
acquiring historical operation characteristic data information of the cooling device in the production process of the bond alloy wire, and constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device;
Predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, and identifying the cooling performance characteristic data of the cooling device in the production process of the current time stamp to obtain an abnormally-working cooling device and a normally-working cooling device;
Acquiring production quality requirement information of the key alloy wires in each production line, and generating related production control instructions according to the production quality requirements of the key alloy wires in each production line when the cooling device is a cooling device working abnormally;
when the cooling device is a cooling device which works normally, relevant regulation and control parameters are generated according to the production quality requirement information of the bond alloy wires in each production line, and the cooling device is regulated and controlled based on the relevant regulation and control parameters.
Further, in the system, the historical operation characteristic data information of the cooling device of the bond alloy wire in the production process is obtained, and a cooling performance characteristic prediction model of the cooling device is constructed according to the historical operation characteristic data information of the cooling device, and the system specifically comprises the following steps:
Acquiring historical operation characteristic data information of the cooling device in the production process of the key alloy wire, dividing the historical operation characteristic data information of the cooling device according to preset time periods, acquiring historical operation characteristic data of the cooling device in a plurality of preset time periods, and drawing a first operation characteristic data change graph based on the historical operation characteristic data of the cooling device in the plurality of preset time periods;
Acquiring operation characteristic data information of the cooling device in the current key alloy wire production process within a preset time, and drawing a second operation characteristic data change curve graph according to the operation characteristic data information of the cooling device in the current key alloy wire production process within the preset time;
Dividing the second operation characteristic data change curve graph according to a preset time period, generating a third operation characteristic data change curve graph, and calculating the Manhattan distance between the first operation characteristic data change curve graph and the third operation characteristic data change curve graph of the cooling device in the same working time length;
When the Manhattan distance is lower than a preset Manhattan distance threshold, taking the cooling device corresponding to the first operation characteristic data change curve graph as a cooling performance migration target, constructing cooling performance migration target change data based on time sequence,
And constructing a cooling device cooling performance characteristic prediction model based on the deep neural network, and inputting cooling performance migration target change data based on a time sequence into the cooling device cooling performance characteristic prediction model to perform coding learning.
Further, in the present system, the cooling performance characteristic data of the cooling device in the production process of the current time stamp is predicted based on the cooling performance characteristic prediction model of the cooling device, specifically including:
Acquiring operation characteristic data information of the cooling device in the production process within a preset time, and acquiring a cooling performance migration target of the cooling device in a preset time period according to the operation characteristic data information of the cooling device in the production process within the preset time;
inputting the cooling performance migration target in a preset time period into a cooling performance characteristic prediction model of the cooling device to predict, and obtaining the cooling performance migration target of the cooling device in the current time stamp;
And acquiring historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp, and outputting the historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp as cooling performance characteristic data of the cooling device in the production process of the current time stamp.
Further, in the present system, the identifying of the cooling performance characteristic data of the cooling device in the production process of the current timestamp, and obtaining the cooling device with abnormal operation and the cooling device with normal operation specifically include:
Presetting a cooling performance characteristic data threshold value, and judging whether cooling performance characteristic data of a cooling device in the production process of the current time stamp is larger than the cooling performance characteristic data threshold value or not;
When the cooling performance characteristic data of the cooling device in the production process of the current time stamp is larger than the cooling performance characteristic data threshold value, the corresponding cooling device is used as a cooling device which works normally;
when the cooling performance characteristic data of the cooling device in the production process of the current time stamp is not more than the cooling performance characteristic data threshold value, the corresponding cooling device is used as the cooling device which works abnormally;
And outputting the cooling device which works abnormally and the cooling device which works normally as output results.
Further, in the system, the production quality requirement information of the bond alloy wires in each production line is obtained, when the cooling device is a cooling device working abnormally, a relevant production control instruction is newly generated according to the production quality requirement of the bond alloy wires in each production line, and the system specifically comprises:
Acquiring production quality requirement information of the key alloy wires in each production line, acquiring real-time cooling performance data information of the cooling device which works abnormally when the cooling device is the cooling device which works abnormally, and acquiring cooling performance data information required by each production quality requirement information through big data;
Constructing a knowledge graph according to the production quality requirement information of the key alloy wires in each production line, inputting the production quality requirement information of the key alloy wires in each production line into the knowledge graph for data matching, and acquiring cooling performance data information required under the current production quality requirement information;
Judging whether the real-time cooling performance data information of the cooling device which works abnormally is larger than the cooling performance data information required by the current production quality requirement information, and if so, generating a continuous processing instruction;
And when the real-time cooling performance data information of the abnormally operated cooling device is not more than the cooling performance data information required under the current production quality requirement information, generating a machining stopping instruction, and carrying out early warning according to the machining stopping instruction.
Further, in the system, when the cooling device is a cooling device that works normally, relevant regulation parameters are generated according to the production quality requirement information of the bond alloy wires in each production line, and the cooling device is regulated and controlled based on the relevant regulation parameters, which specifically includes:
when the cooling device is a cooling device which works normally, acquiring cooling performance data information required in each production line according to production quality requirement information and a knowledge graph of the bond alloy wires in each production line;
acquiring real-time operation characteristic data of the cooling device in each production line, and comparing the required cooling performance data information in the production line with the real-time operation characteristic data of the cooling device in the production line to obtain a deviation rate;
A deviation rate threshold value is preset, whether the deviation rate is larger than the deviation rate threshold value is judged, and when the deviation rate is larger than the preset deviation rate threshold value, cooling performance data information required in the production line is used as a regulating and controlling reference;
And calculating a difference value between the regulation reference and the real-time operation characteristic data of the cooling device in the production line, generating relevant regulation parameters according to the difference value, and carrying out cooling regulation on the cooling device based on the relevant regulation parameters.
A third aspect of the present invention provides a computer-readable storage medium containing therein a production quality evaluation method program of a bond wire, which when executed by a processor, implements the steps of the production quality evaluation method of any one of the bond wires.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of 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.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or optical disk, or the like, which can store program codes.
Or the above-described integrated units of the invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present invention, and the invention should be covered. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (6)
1. The production quality evaluation method of the bond alloy wire is characterized by comprising the following steps of:
Acquiring historical operation characteristic data information of a cooling device in the production process of the bond alloy wire, and constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device;
Predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, and identifying the cooling performance characteristic data of the cooling device in the production process of the current time stamp to obtain an abnormally-working cooling device and a normally-working cooling device;
Acquiring production quality requirement information of the bond alloy wires in each production line, and generating related production control instructions according to the production quality requirement information of the bond alloy wires in each production line when the cooling device is a cooling device which works abnormally;
When the cooling device is a cooling device which works normally, generating relevant regulation and control parameters according to the production quality requirement information of the bond alloy wires in each production line, and carrying out cooling regulation and control on the cooling device based on the relevant regulation and control parameters;
Acquiring historical operation characteristic data information of a cooling device of a bond alloy wire in a production process, and constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device, wherein the method specifically comprises the following steps:
acquiring historical operation characteristic data information of a cooling device in a production process of a key alloy wire, dividing the historical operation characteristic data information of the cooling device according to preset time periods, acquiring historical operation characteristic data of the cooling device in a plurality of preset time periods, and drawing a first operation characteristic data change curve graph based on the historical operation characteristic data of the cooling device in the plurality of preset time periods;
Acquiring operation characteristic data information of the cooling device in the current key alloy wire production process within a preset time, and drawing a second operation characteristic data change curve chart according to the operation characteristic data information of the cooling device in the current key alloy wire production process within the preset time;
dividing the second operation characteristic data change curve graph according to a preset time period to generate a third operation characteristic data change curve graph, and calculating the Manhattan distance between the first operation characteristic data change curve graph and the third operation characteristic data change curve graph of the cooling device in the same working time length;
When the Manhattan distance is lower than a preset Manhattan distance threshold, taking the cooling device corresponding to the first operation characteristic data change curve graph as a cooling performance migration target, constructing cooling performance migration target change data based on a time sequence,
Constructing a cooling device cooling performance characteristic prediction model based on a deep neural network, and inputting the cooling performance migration target change data based on the time sequence into the cooling device cooling performance characteristic prediction model for coding learning;
And predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, wherein the method specifically comprises the following steps:
acquiring operation characteristic data information of the cooling device in the production process within a preset time, and acquiring a cooling performance migration target of the cooling device in a preset time period according to the operation characteristic data information of the cooling device in the production process within the preset time;
inputting the cooling performance migration target in the preset time period into the cooling performance characteristic prediction model of the cooling device for prediction, and obtaining the cooling performance migration target of the cooling device in the current time stamp;
And acquiring historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp, and outputting the historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp as cooling performance characteristic data of the cooling device in the production process of the current time stamp.
2. The method for evaluating production quality of bond wires according to claim 1, wherein the step of identifying the cooling performance characteristic data of the cooling device in the production process of the current time stamp to obtain the cooling device with abnormal operation and the cooling device with normal operation specifically comprises the steps of:
presetting a cooling performance characteristic data threshold value, and judging whether cooling performance characteristic data of a cooling device in the production process of the current time stamp is larger than the cooling performance characteristic data threshold value or not;
When the cooling performance characteristic data of the cooling device in the production process of the current time stamp is larger than the cooling performance characteristic data threshold value, the corresponding cooling device is used as a cooling device which works normally;
When the cooling performance characteristic data of the cooling device in the production process of the current time stamp is not more than the cooling performance characteristic data threshold value, the corresponding cooling device is used as the cooling device which works abnormally;
And outputting the cooling device with abnormal operation and the cooling device with normal operation as output results.
3. The method for evaluating the production quality of a bonding alloy wire according to claim 1, wherein the step of obtaining the production quality requirement information of the bonding alloy wire in each production line, when the cooling device is a cooling device working abnormally, generating a related production control instruction according to the production quality requirement information of the bonding alloy wire in each production line, comprises the following steps:
Acquiring production quality requirement information of key alloy wires in each production line, acquiring real-time cooling performance data information of the cooling device working abnormally when the cooling device is the cooling device working abnormally, and acquiring cooling performance data information required by each production quality requirement information through big data;
constructing a knowledge graph according to the production quality requirement information of the key alloy wires in each production line, inputting the production quality requirement information of the key alloy wires in each production line into the knowledge graph for data matching, and obtaining the cooling performance data information required under the current production quality requirement information;
Judging whether the real-time cooling performance data information of the cooling device working abnormally is larger than the cooling performance data information required by the current production quality requirement information, and if so, generating a continuous processing instruction;
And when the real-time cooling performance data information of the cooling device which works abnormally is not more than the cooling performance data information required by the current production quality requirement information, generating a machining stopping instruction, and carrying out early warning according to the machining stopping instruction.
4. The method for evaluating the production quality of a bonding alloy wire according to claim 1, wherein when the cooling device is a cooling device that works normally, generating relevant regulation parameters according to the production quality requirement information of the bonding alloy wire in each production line, and performing cooling regulation on the cooling device based on the relevant regulation parameters, specifically comprising:
When the cooling device is a cooling device which works normally, acquiring cooling performance data information required in each production line according to the production quality requirement information and the knowledge graph of the bond alloy wires in each production line;
Acquiring real-time operation characteristic data of a cooling device in each production line at present, and comparing the required cooling performance data information in the production line with the real-time operation characteristic data of the cooling device in the production line to obtain a deviation rate;
Judging whether the deviation rate is larger than a preset deviation rate threshold value or not, and taking the cooling performance data information required in the production line as a regulating and controlling reference when the deviation rate is larger than the preset deviation rate threshold value;
And calculating a difference value between the regulation reference and the real-time operation characteristic data of the cooling device in the production line, generating related regulation parameters according to the difference value, and carrying out cooling regulation on the cooling device based on the related regulation parameters.
5. The production quality evaluation system of the bond alloy wire is characterized by comprising a memory and a processor, wherein the memory comprises a production quality evaluation method program of the bond alloy wire, and the production quality evaluation method program of the bond alloy wire is executed by the processor and realizes the following steps:
Acquiring historical operation characteristic data information of a cooling device in the production process of the bond alloy wire, and constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device;
Predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, and identifying the cooling performance characteristic data of the cooling device in the production process of the current time stamp to obtain an abnormally-working cooling device and a normally-working cooling device;
Acquiring production quality requirement information of the bond alloy wires in each production line, and generating related production control instructions according to the production quality requirement information of the bond alloy wires in each production line when the cooling device is a cooling device which works abnormally;
When the cooling device is a cooling device which works normally, generating relevant regulation and control parameters according to the production quality requirement information of the bond alloy wires in each production line, and carrying out cooling regulation and control on the cooling device based on the relevant regulation and control parameters;
Acquiring historical operation characteristic data information of a cooling device of a bond alloy wire in a production process, and constructing a cooling performance characteristic prediction model of the cooling device according to the historical operation characteristic data information of the cooling device, wherein the method specifically comprises the following steps:
acquiring historical operation characteristic data information of a cooling device in a production process of a key alloy wire, dividing the historical operation characteristic data information of the cooling device according to preset time periods, acquiring historical operation characteristic data of the cooling device in a plurality of preset time periods, and drawing a first operation characteristic data change curve graph based on the historical operation characteristic data of the cooling device in the plurality of preset time periods;
Acquiring operation characteristic data information of the cooling device in the current key alloy wire production process within a preset time, and drawing a second operation characteristic data change curve chart according to the operation characteristic data information of the cooling device in the current key alloy wire production process within the preset time;
dividing the second operation characteristic data change curve graph according to a preset time period to generate a third operation characteristic data change curve graph, and calculating the Manhattan distance between the first operation characteristic data change curve graph and the third operation characteristic data change curve graph of the cooling device in the same working time length;
When the Manhattan distance is lower than a preset Manhattan distance threshold, taking the cooling device corresponding to the first operation characteristic data change curve graph as a cooling performance migration target, constructing cooling performance migration target change data based on a time sequence,
Constructing a cooling device cooling performance characteristic prediction model based on a deep neural network, and inputting the cooling performance migration target change data based on the time sequence into the cooling device cooling performance characteristic prediction model for coding learning;
And predicting cooling performance characteristic data of the cooling device in the production process of the current time stamp based on the cooling performance characteristic prediction model of the cooling device, wherein the method specifically comprises the following steps:
acquiring operation characteristic data information of the cooling device in the production process within a preset time, and acquiring a cooling performance migration target of the cooling device in a preset time period according to the operation characteristic data information of the cooling device in the production process within the preset time;
inputting the cooling performance migration target in the preset time period into the cooling performance characteristic prediction model of the cooling device for prediction, and obtaining the cooling performance migration target of the cooling device in the current time stamp;
And acquiring historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp, and outputting the historical operation characteristic data information of the cooling performance migration target of the cooling device under the same working condition in the current time stamp as cooling performance characteristic data of the cooling device in the production process of the current time stamp.
6. A computer-readable storage medium, characterized in that the computer-readable storage medium contains therein a production quality evaluation method program of a bond wire, which, when executed by a processor, implements the steps of the production quality evaluation method of a bond wire according to any one of claims 1 to 4.
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