Internet of things data management method and system of intelligent gold bonding wire system
By using the data management method of the intelligent bonding wire system, data from the bonding wire production process is screened and processed, solving the problems of large data volume and low data quality, and achieving efficient and secure data storage and management.
Patent Information
- Application Number
- CN202510775932.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-11
- Publication Date
- 2025-10-31
AI Technical Summary
In the production of bonding alloy wire, the data collection of the wire drawing process suffers from problems such as large data volume, low data quality, and difficulty in storage and management.
The intelligent bonding wire system uses a data acquisition component to obtain processing parameters, filters normal and abnormal parameters based on a preset parameter range, processes data using normal representative parameters and abnormal differential parameters, and saves data using lossless compression and encryption algorithms.
It reduces the amount of data, improves data quality, facilitates storage and management, and enhances data processing speed and security.
Smart Images
Figure CN120873236A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of semiconductor technology, and in particular to an Internet of Things (IoT) data management method and system for an intelligent bonding wire system. Background Technology
[0002] As the name suggests, IoT data is data generated by various IoT devices and sensors. Compared with other types of data, IoT data has four characteristics: "large", "small", "high", and "low". "Large" means that IoT data has a large volume; "small" means that IoT data has a low value density; "high" means that IoT data has high timeliness; and "low" means that IoT data is usually of low quality.
[0003] Currently, the production process of bonding alloy wire (or bonding silver wire) usually involves wire drawing, cleaning, and annealing processes. Among these, the wire drawing process is a key step in the processing of bonding alloy wire, which directly affects the quality of the bonding alloy wire. Although there are various sensors that collect data on the wire drawing process, there are problems such as large data volume, low quality, and difficulty in storing and managing the collected data. Summary of the Invention
[0004] To address the aforementioned technical problems, this application proposes an IoT data management method and system for an intelligent bonding alloy wire system, which can solve the problems of large data volume, low quality, and inconvenience in data storage and management in current wire drawing process data collection.
[0005] In a first aspect, embodiments of this application provide an Internet of Things (IoT) data management method for an intelligent bonding wire system, the intelligent bonding wire system including a wire drawing device and a data acquisition component disposed on the wire drawing device; The IoT data management method for the smart bonding wire system includes: The data processing cycle and the data acquisition cycle are obtained, wherein the data processing cycle includes multiple data acquisition cycles; Based on the data acquisition cycle, the data acquisition component acquires multiple sets of processing parameters of the intelligent bonding wire system; Based on a preset parameter range, multiple sets of processing parameters are filtered to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters; Based on multiple sets of processing parameters within the aforementioned conventional parameter group, conventional representative parameters are obtained, wherein the conventional representative parameters may be the mean, and / or the median; Acquire the routine acquisition time for multiple sets of processing parameters within the routine parameter group; The standard representative parameters and the standard acquisition time are sent to the server for storage.
[0006] In some embodiments, the step of filtering multiple sets of processing parameters based on a preset parameter range to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters, and further includes: Based on a preset parameter range, multiple sets of processing parameters are filtered to obtain an abnormal parameter group, wherein the abnormal parameter group includes at least one set of processing parameters; Based on the conventional representative parameters, the processing parameters within the abnormal parameter group are differentially calculated to obtain abnormal differential parameters; Obtain the abnormal acquisition time of multiple sets of processing parameters within the abnormal parameter group; The abnormal differential parameters and the abnormal acquisition time are sent to the server for storage.
[0007] In some embodiments, the step of filtering multiple sets of processing parameters based on a preset parameter range to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters, and further includes: Obtain the equipment performance parameter curves of the intelligent bonding wire processing system as a function of time; The preset parameter range is determined based on the device performance parameter curve.
[0008] In some embodiments, the IoT data management method for the smart bonding wire system further includes: If the abnormal parameter group is not present in any of the multiple sets of processing parameters, then the normal acquisition time of multiple adjacent data processing cycles is obtained; The total duration of regular data acquisition is obtained based on multiple adjacent regular data acquisition times, and the data processing cycle and / or the data acquisition cycle are increased based on the total duration of regular data acquisition and a preset sampling function.
[0009] In some embodiments, the IoT data management method for the smart bonding wire system further includes: If an abnormal parameter group exists among multiple sets of processing parameters, then obtain the number of processing parameters in the abnormal parameter group and the abnormal difference parameter corresponding to the processing parameters in the abnormal parameter group. The data processing cycle and / or the data acquisition cycle are increased based on the number of processing parameters in the abnormal parameter group, the abnormal difference parameter, and the abnormal cycle adjustment function.
[0010] In some embodiments, the data acquisition component includes at least one of the following: a device temperature sensor, an ambient temperature sensor, an encoder, an image acquisition device, a voltage sensor, a frequency sensor, and a vibration sensor, all disposed on the wire drawing equipment. The processing parameters include at least one of the following: equipment temperature, ambient temperature, motor speed, bonding wire size, working voltage, working frequency, and vibration level.
[0011] In some embodiments, the step of acquiring multiple sets of processing parameters of the smart bonding wire system through a data acquisition component based on the data acquisition cycle further includes: The image of the finished product of the bonding wire after processing is obtained through an image acquisition device; The finished product image is input into the size analysis model to obtain the size of the bonding wire; The processing parameters are obtained based on the dimensions of the bonding wire.
[0012] In some embodiments, sending the conventional representative parameters and the conventional acquisition time to the server for storage includes: The conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time are losslessly compressed using a lossless compression algorithm. The lossless compressed conventional representative parameters, conventional acquisition time, abnormal differential parameters, and abnormal acquisition time are sent to the server for storage.
[0013] In some embodiments, sending the lossless compressed conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time to the server for storage includes: An asymmetric encryption algorithm is used to encrypt the conventional representative parameters, the conventional acquisition time, the abnormal differential parameters, and the abnormal acquisition time after lossless compression. The encrypted normal representative parameters, normal acquisition time, abnormal differential parameters, and abnormal acquisition time are sent to the server for storage.
[0014] Secondly, embodiments of this application provide an Internet of Things (IoT) data management system for an intelligent bonding wire system, the intelligent bonding wire system including a wire drawing device and a data acquisition component disposed on the wire drawing device; The IoT data management system for the smart bonding wire system includes: An acquisition module is used to acquire the data processing cycle and the data acquisition cycle, wherein the data processing cycle includes multiple data acquisition cycles; The calculation module is used to collect multiple sets of processing parameters of the smart bonding wire system through the data acquisition component based on the data acquisition cycle; filter the multiple sets of processing parameters based on a preset parameter range to obtain a regular parameter group, wherein the regular parameter group includes multiple sets of processing parameters; obtain a regular representative parameter based on the multiple sets of processing parameters in the regular parameter group, wherein the regular representative parameter may be the mean, and / or the median; and obtain the regular acquisition time for collecting the multiple sets of processing parameters in the regular parameter group. The storage module is used to send the conventional representative parameters and the conventional acquisition time to the server for storage.
[0015] This application provides an IoT data management method and system for an intelligent bonding wire system. The intelligent bonding wire system includes a wire drawing device and a data acquisition component installed on the wire drawing device. The method includes: acquiring a data processing cycle and a data acquisition cycle, wherein the data processing cycle includes multiple data acquisition cycles; acquiring multiple sets of processing parameters of the intelligent bonding wire system through the data acquisition component based on the data acquisition cycle; filtering the multiple sets of processing parameters based on a preset parameter range to obtain a regular parameter group, wherein the regular parameter group includes multiple sets of processing parameters; obtaining a regular representative parameter based on the multiple sets of processing parameters within the regular parameter group, wherein the regular representative parameter can be the mean, and / or median; acquiring the regular acquisition time for acquiring the multiple sets of processing parameters within the regular parameter group; and sending the regular representative parameter and the regular acquisition time to a server for storage. This method enables the multiple sets of processing parameters within the regular parameter group to be represented using the regular representative parameter, solving the problems of large data volume, low data quality, and inconvenience in data storage and management in current wire drawing process data acquisition, reducing data volume, increasing data quality, and facilitating storage and management. Attached Figure Description
[0016] The invention will now be described in more detail with reference to embodiments and the accompanying drawings.
[0017] Figure 1 This is a flowchart of an IoT data management method for an intelligent bonding wire system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the Internet of Things (IoT) data management system for an intelligent bonding wire system provided in an embodiment of the present invention. Detailed Implementation
[0018] The invention will now be further described with reference to the accompanying drawings.
[0019] The Internet of Things (IoT) refers to a network of physical devices and objects connected and communicating via the Internet. It is a system composed of sensors, software, and communication devices that enables various devices and objects to be interconnected and provide smarter, more efficient, and automated functions through data exchange and analysis.
[0020] IoT data, as the name suggests, is data generated by various IoT devices and sensors. Compared with other types of data, IoT data has four characteristics: "large," "small," "high," and "low." "Large" means the volume of IoT data is large; "small" means the value density of IoT data is low (or, in other words, finding valuable information from massive amounts of data is quite difficult); "high" means the timeliness of IoT data is high, as the data streams generated by devices often require immediate analysis and processing, and their value decreases rapidly over time; "low" means the quality of IoT data is usually low, due to factors such as the capabilities of the IoT devices themselves, demanding deployment environments, and network transmission issues, ultimately leading to problems like data loss, anomalies, and duplication.
[0021] Currently, the production process of bonding alloy wire (or bonding silver wire) usually involves wire drawing, cleaning, and annealing processes. Among these, the wire drawing process is a key step in the processing of bonding alloy wire, which directly affects the quality of the bonding alloy wire. Although there are various sensors that collect data on the wire drawing process, there are problems such as large data volume, low quality, and difficulty in storing and managing the collected data.
[0022] Firstly, such as Figure 1 As shown, this application provides an IoT data management method for an intelligent bonding wire system, the intelligent bonding wire system including a wire drawing device and a data acquisition component disposed on the wire drawing device; The IoT data management method for the smart bonding wire system includes: S101: Obtain the data processing cycle and the data acquisition cycle, wherein the data processing cycle includes multiple data acquisition cycles; It should be noted that the data processing cycle is the cycle for processing the various data collected by the data acquisition component, and the data acquisition cycle is the cycle for the data acquisition component to collect various data from the wire drawing equipment. The size of the data processing cycle and the size of the data acquisition cycle can be set according to actual needs.
[0023] S102: Based on the data acquisition cycle, multiple sets of processing parameters of the intelligent bonding wire system are acquired through the data acquisition component; S103: Based on a preset parameter range, multiple sets of processing parameters are filtered to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters; S104: Obtain a conventional representative parameter based on multiple sets of processing parameters within the conventional parameter group, wherein the conventional representative parameter may be the mean, and / or the median; S105: Obtain the routine acquisition time for multiple sets of processing parameters within the routine parameter group; S106: Send the conventional representative parameters and the conventional acquisition time to the server for storage.
[0024] It should be noted that the preset parameter range refers to the normal fluctuation of relevant data when the wire drawing equipment is working normally. For example, the motor speed is set to 2000 rpm, but it actually fluctuates between 1900-2100 rpm. That is, as long as the processing parameters are within the preset parameter range, they can be considered to be in normal working condition (or conventional processing parameters, which include multiple sets of conventional processing parameters). By using the conventional representative parameter to represent the entire conventional parameter set, the scale of storing and managing the processing parameters can be reduced, and data quality can be improved.
[0025] It should be noted that the regular acquisition time is obtained from each data acquisition cycle of the processing parameters. The regular acquisition time corresponds one-to-one with the regular representative parameters. The processing and saving of multiple sets of processing parameters can be performed on a local server, or the regular representative parameters and the regular acquisition time can be obtained and then sent to a cloud server for saving, so as to reduce the amount of data transmission and improve the data transmission speed.
[0026] In some embodiments, the step of filtering multiple sets of processing parameters based on a preset parameter range to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters, and further includes: Based on a preset parameter range, multiple sets of processing parameters are filtered to obtain an abnormal parameter group, wherein the abnormal parameter group includes at least one set of processing parameters; Based on the conventional representative parameters, the processing parameters within the abnormal parameter group are differentially calculated to obtain abnormal differential parameters; Obtain the abnormal acquisition time of multiple sets of processing parameters within the abnormal parameter group; The abnormal differential parameters and the abnormal acquisition time are sent to the server for storage.
[0027] It should be noted that by obtaining the processing parameters (or abnormal processing parameters) within the abnormal parameter group, the processing data of the wire drawing equipment can be monitored and stored. This allows for the verification of product quality based on the abnormal processing parameters, or for tracing back the cause of product quality problems when they occur. The processing parameters within the abnormal parameter group are typically processing parameters within adjacent data acquisition cycles, so that the abnormal acquisition time of the abnormal parameter group can be recorded together. The data processing cycle may include multiple abnormal parameter groups, and each abnormal parameter group corresponds one-to-one with the abnormal acquisition time.
[0028] It should be noted that the abnormal processing parameters are usually the same as or similar to the conventional representative parameters (e.g., rotational speed, the conventional representative parameter is 2000 rpm, and the abnormal processing parameter is 1800 rpm). By using the conventional representative parameters to perform differential operations on the abnormal processing parameters, the abnormal differential parameters can be obtained, which can reduce data redundancy and improve data processing speed. Specifically, obtaining the abnormal parameter group, performing differential operations on the processing parameters within the abnormal parameter group, and obtaining the abnormal acquisition time can be processed on the local server, and then the abnormal differential parameters and the abnormal acquisition time are sent to the cloud server for storage.
[0029] It should be noted that if the abnormal parameter group includes multiple sets of abnormal processing parameters, the multiple sets of abnormal processing parameters can be filtered based on the abnormal parameter range (e.g., rotational speed of 1700-1800 rpm). If multiple sets of abnormal processing parameters are located within the abnormal parameter range, an abnormal representative parameter is obtained based on the multiple sets of abnormal processing parameters located within the abnormal parameter range. Then, further differential operations are performed on the abnormal representative parameter to obtain an abnormal representative differential parameter, so as to further reduce the data size and improve the data processing speed.
[0030] In some embodiments, the step of filtering multiple sets of processing parameters based on a preset parameter range to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters, and further includes: Obtain the equipment performance parameter curves of the intelligent bonding wire processing system as a function of time; The preset parameter range is determined based on the device performance parameter curve.
[0031] It should be noted that, since the performance of wire drawing equipment (or intelligent bonding wire system) usually deteriorates gradually with the extension of usage time, the preset parameter range also needs to be determined according to the equipment performance parameter curve of the wire drawing equipment. It is usually a certain percentage fluctuation of the parameter value at a certain point on the equipment performance parameter curve, such as ±5%. The equipment performance parameter curve can be obtained through actual testing or obtained from the equipment manufacturer. The equipment performance parameter curve can be the equipment speed parameter curve, the equipment temperature parameter curve, the equipment vibration parameter curve, etc. This application does not make specific limitations on it.
[0032] In some embodiments, the IoT data management method for the smart bonding wire system further includes: If the abnormal parameter group is not present in any of the multiple sets of processing parameters, then the normal acquisition time of multiple adjacent data processing cycles is obtained; The total duration of regular data acquisition is obtained based on multiple adjacent regular data acquisition times, and the data processing cycle and / or the data acquisition cycle are increased based on the total duration of regular data acquisition and a preset sampling function.
[0033] It should be noted that if the abnormal parameter group does not exist, it indicates that the processing process of the equipment is relatively stable, and the longer the total normal collection time, the more stable the processing process is. The increase or decrease of the data processing cycle and / or the data collection cycle based on the total normal collection time and the preset sampling function is generally as follows: the larger the total normal collection time, the longer the data processing cycle and the data collection cycle; the smaller the total normal collection time, the shorter the data processing cycle and the data collection cycle, thereby reducing the scale of IoT data while ensuring the effectiveness of data collection. The preset sampling function can be a linear function, a nonlinear function, etc., and this application does not specifically limit it.
[0034] It should be noted that if the abnormal parameter group is not present in the multiple sets of processing parameters, conventional representative parameters of multiple adjacent data processing cycles can be obtained. Based on the multiple conventional representative parameters, the increase / decrease rate of the conventional representative parameters is obtained, and the increase / decrease rate of the conventional representative parameters is compared with the standard increase / decrease rate on the equipment performance parameter curve (the standard increase / decrease rate is calculated from the equipment performance parameter curve) to obtain the increase / decrease rate deviation. If the increase / decrease rate deviation is less than a preset deviation threshold, it indicates that the wire drawing equipment is working according to the equipment performance parameter curve. At this time, the data processing cycle and the data acquisition cycle can be increased or decreased according to the total conventional acquisition time. If the increase / decrease rate deviation is greater than or equal to the preset deviation threshold, it indicates that the wire drawing equipment is working abnormally. At this time, the data processing cycle and the data acquisition cycle can be decreased according to the total conventional acquisition time to improve the accuracy of data acquisition and monitoring. If the increase / decrease rate deviation is less than the preset deviation threshold, the processing parameters in the corresponding time period can be deleted and marked with corresponding symbols in the corresponding time period to indicate that the equipment is working according to the equipment performance parameter curve, thereby further reducing the data scale and facilitating data management.
[0035] In some embodiments, the IoT data management method for the smart bonding wire system further includes: If an abnormal parameter group exists among multiple sets of processing parameters, then obtain the number of processing parameters in the abnormal parameter group and the abnormal difference parameter corresponding to the processing parameters in the abnormal parameter group. The data processing cycle and / or the data acquisition cycle are increased based on the number of processing parameters in the abnormal parameter group, the abnormal difference parameter, and the abnormal cycle adjustment function.
[0036] It should be noted that when equipment malfunctions, it is not advisable to use the same data acquisition and monitoring method for all malfunctions. Instead, different levels of data acquisition and monitoring are required for different malfunctions. The increase in the data processing cycle and / or the data acquisition cycle based on the number of processing parameters in the malfunction parameter group, the malfunction difference parameter, and the malfunction cycle adjustment function is as follows: the more processing parameters in the malfunction parameter group and the larger the malfunction difference parameter, the larger the data processing cycle and the data acquisition cycle; the fewer processing parameters in the malfunction parameter group and the smaller the malfunction difference parameter, the smaller the data processing cycle and the data acquisition cycle. The malfunction cycle adjustment function can be a linear function, a piecewise function, etc., and this application does not specifically limit it.
[0037] In some embodiments, the data acquisition component includes at least one of the following: a device temperature sensor, an ambient temperature sensor, an encoder, an image acquisition device, a voltage sensor, a frequency sensor, and a vibration sensor, all disposed on the wire drawing equipment. The processing parameters include at least one of the following: equipment temperature, ambient temperature, motor speed, bonding wire size, working voltage, working frequency, and vibration level.
[0038] In some embodiments, the step of acquiring multiple sets of processing parameters of the smart bonding wire system through a data acquisition component based on the data acquisition cycle further includes: The image of the finished product of the bonding wire after processing is obtained through an image acquisition device; The finished product image is input into the size analysis model to obtain the size of the bonding wire; The processing parameters are obtained based on the dimensions of the bonding wire.
[0039] It should be noted that the image acquisition device can be a camera or a high-speed camera, and the size analysis model can be a neural network model. By converting the finished product image into the bonding wire size, the data size can be reduced and the data processing speed can be improved.
[0040] In some embodiments, sending the conventional representative parameters and the conventional acquisition time to the server for storage includes: The conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time are losslessly compressed using a lossless compression algorithm. The lossless compressed conventional representative parameters, conventional acquisition time, abnormal differential parameters, and abnormal acquisition time are sent to the server for storage.
[0041] In some embodiments, sending the lossless compressed conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time to the server for storage includes: An asymmetric encryption algorithm is used to encrypt the conventional representative parameters, the conventional acquisition time, the abnormal differential parameters, and the abnormal acquisition time after lossless compression. The encrypted normal representative parameters, normal acquisition time, abnormal differential parameters, and abnormal acquisition time are sent to the server for storage.
[0042] It should be noted that the lossless compression algorithm can be Huffman coding, dictionary coding, or predictive coding. By performing lossless compression on the conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time, storage space can be saved and data transmission efficiency can be improved. By using an asymmetric encryption algorithm to encrypt the conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time, data leakage can be avoided and data security can be guaranteed.
[0043] In summary, this application provides an IoT data management method for an intelligent bonding wire system. The intelligent bonding wire system includes a wire drawing device and a data acquisition component installed on the wire drawing device. The method includes: acquiring a data processing cycle and a data acquisition cycle, wherein the data processing cycle includes multiple data acquisition cycles; acquiring multiple sets of processing parameters of the intelligent bonding wire system through the data acquisition component based on the data acquisition cycle; filtering the multiple sets of processing parameters based on a preset parameter range to obtain a regular parameter group, wherein the regular parameter group includes multiple sets of processing parameters; obtaining a regular representative parameter based on the multiple sets of processing parameters within the regular parameter group, wherein the regular representative parameter can be the mean, and / or median; acquiring the regular acquisition time for acquiring the multiple sets of processing parameters within the regular parameter group; and sending the regular representative parameter and the regular acquisition time to a server for storage. This method enables the multiple sets of processing parameters within the regular parameter group to be represented using the regular representative parameter, solving the problems of large data volume, low data quality, and inconvenience in data storage and management in current wire drawing process data acquisition methods. It reduces data volume, increases data quality, and facilitates storage and management.
[0044] Secondly, such as Figure 2 As shown, this application provides an Internet of Things (IoT) data management system for an intelligent bonding wire system. The intelligent bonding wire system includes a wire drawing device and a data acquisition component installed on the wire drawing device. The IoT data management system for the smart bonding wire system includes: The acquisition module 210 is used to acquire the data processing cycle and the data acquisition cycle, wherein the data processing cycle includes multiple data acquisition cycles; The calculation module 220 is used to collect multiple sets of processing parameters of the smart bonding wire system through the data acquisition component based on the data acquisition cycle; filter the multiple sets of processing parameters based on a preset parameter range to obtain a regular parameter group, wherein the regular parameter group includes multiple sets of processing parameters; obtain a regular representative parameter based on the multiple sets of processing parameters in the regular parameter group, wherein the regular representative parameter may be the mean, and / or the median; and obtain the regular acquisition time for collecting the multiple sets of processing parameters in the regular parameter group. The storage module 230 is used to send the conventional representative parameters and the conventional acquisition time to the server for storage.
[0045] In some embodiments, the step of filtering multiple sets of processing parameters based on a preset parameter range to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters, and further includes: Based on a preset parameter range, multiple sets of processing parameters are filtered to obtain an abnormal parameter group, wherein the abnormal parameter group includes at least one set of processing parameters; Based on the conventional representative parameters, the processing parameters within the abnormal parameter group are differentially calculated to obtain abnormal differential parameters; Obtain the abnormal acquisition time of multiple sets of processing parameters within the abnormal parameter group; The abnormal differential parameters and the abnormal acquisition time are sent to the server for storage.
[0046] In some embodiments, the step of filtering multiple sets of processing parameters based on a preset parameter range to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters, and further includes: Obtain the equipment performance parameter curves of the intelligent bonding wire processing system as a function of time; The preset parameter range is determined based on the device performance parameter curve.
[0047] In some embodiments, the computing module 220 is further configured to: If the abnormal parameter group is not present in any of the multiple sets of processing parameters, then the normal acquisition time of multiple adjacent data processing cycles is obtained; The total duration of regular data acquisition is obtained based on multiple adjacent regular data acquisition times, and the data processing cycle and / or the data acquisition cycle are increased based on the total duration of regular data acquisition and a preset sampling function.
[0048] In some embodiments, the computing module 220 is further configured to: If an abnormal parameter group exists among multiple sets of processing parameters, then obtain the number of processing parameters in the abnormal parameter group and the abnormal difference parameter corresponding to the processing parameters in the abnormal parameter group. The data processing cycle and / or the data acquisition cycle are increased based on the number of processing parameters in the abnormal parameter group, the abnormal difference parameter, and the abnormal cycle adjustment function.
[0049] In some embodiments, the data acquisition component includes at least one of the following: a device temperature sensor, an ambient temperature sensor, an encoder, an image acquisition device, a voltage sensor, a frequency sensor, and a vibration sensor, all disposed on the wire drawing equipment. The processing parameters include at least one of the following: equipment temperature, ambient temperature, motor speed, bonding wire size, working voltage, working frequency, and vibration level.
[0050] In some embodiments, the step of acquiring multiple sets of processing parameters of the smart bonding wire system through a data acquisition component based on the data acquisition cycle further includes: The image of the finished product of the bonding wire after processing is obtained through an image acquisition device; The finished product image is input into the size analysis model to obtain the size of the bonding wire; The processing parameters are obtained based on the dimensions of the bonding wire.
[0051] In some embodiments, sending the conventional representative parameters and the conventional acquisition time to the server for storage includes: The conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time are losslessly compressed using a lossless compression algorithm. The lossless compressed conventional representative parameters, conventional acquisition time, abnormal differential parameters, and abnormal acquisition time are sent to the server for storage.
[0052] In some embodiments, sending the lossless compressed conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time to the server for storage includes: An asymmetric encryption algorithm is used to encrypt the conventional representative parameters, the conventional acquisition time, the abnormal differential parameters, and the abnormal acquisition time after lossless compression. The encrypted normal representative parameters, normal acquisition time, abnormal differential parameters, and abnormal acquisition time are sent to the server for storage.
[0053] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices, systems), and / or computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0054] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0055] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0056] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of this application. It should be understood that the above descriptions are merely specific embodiments of this application and are not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.
Claims
1. An IoT data management method for an intelligent bonding wire system, characterized in that, The intelligent bonding wire system includes a wire drawing device and a data acquisition component installed on the wire drawing device; The IoT data management method for the smart bonding wire system includes: The data processing cycle and the data acquisition cycle are obtained, wherein the data processing cycle includes multiple data acquisition cycles; Based on the data acquisition cycle, the data acquisition component acquires multiple sets of processing parameters of the intelligent bonding wire system; Based on a preset parameter range, multiple sets of processing parameters are filtered to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters; Based on multiple sets of processing parameters within the aforementioned conventional parameter group, conventional representative parameters are obtained, wherein the conventional representative parameters may be the mean, and / or the median; Acquire the routine acquisition time for multiple sets of processing parameters within the routine parameter group; The standard representative parameters and the standard acquisition time are sent to the server for storage.
2. The IoT data management method for the intelligent bonding wire system according to claim 1, characterized in that, The process involves filtering multiple sets of processing parameters based on a preset parameter range to obtain a set of conventional parameters. This set of conventional parameters includes multiple sets of processing parameters and further comprises: Based on a preset parameter range, multiple sets of processing parameters are filtered to obtain an abnormal parameter group, wherein the abnormal parameter group includes at least one set of processing parameters; Based on the conventional representative parameters, the processing parameters within the abnormal parameter group are differentially calculated to obtain abnormal differential parameters; Obtain the abnormal acquisition time of multiple sets of processing parameters within the abnormal parameter group; The abnormal differential parameters and the abnormal acquisition time are sent to the server for storage.
3. The IoT data management method for the intelligent bonding wire system according to claim 1, characterized in that, The step of filtering multiple sets of processing parameters based on a preset parameter range to obtain a conventional parameter set, wherein the conventional parameter set includes multiple sets of processing parameters and further includes: Obtain the equipment performance parameter curves of the intelligent bonding wire processing system as a function of time; The preset parameter range is determined based on the device performance parameter curve.
4. The IoT data management method for the intelligent bonding wire system according to claim 2, characterized in that, Also includes: If the abnormal parameter group is not present in any of the multiple sets of processing parameters, then the normal acquisition time of multiple adjacent data processing cycles is obtained; The total duration of regular data acquisition is obtained based on multiple adjacent regular data acquisition times, and the data processing cycle and / or the data acquisition cycle are increased based on the total duration of regular data acquisition and a preset sampling function.
5. The IoT data management method for the intelligent bonding wire system according to claim 4, characterized in that, Also includes: If an abnormal parameter group exists among multiple sets of processing parameters, then obtain the number of processing parameters in the abnormal parameter group and the abnormal difference parameter corresponding to the processing parameters in the abnormal parameter group. The data processing cycle and / or the data acquisition cycle are increased based on the number of processing parameters in the abnormal parameter group, the abnormal difference parameter, and the abnormal cycle adjustment function.
6. The IoT data management method for the intelligent bonding wire system according to claim 1, characterized in that, The data acquisition component includes at least one of the following: a device temperature sensor, an ambient temperature sensor, an encoder, an image acquisition device, a voltage sensor, a frequency sensor, and a vibration sensor, all disposed on the wire drawing equipment. The processing parameters include at least one of the following: equipment temperature, ambient temperature, motor speed, bonding wire size, working voltage, working frequency, and vibration level.
7. The IoT data management method for the intelligent bonding wire system according to claim 6, characterized in that, The method of acquiring multiple sets of processing parameters of the smart bonding wire system through the data acquisition component based on the data acquisition cycle also includes: The image of the finished product of the bonding wire after processing is obtained through an image acquisition device; The finished product image is input into the size analysis model to obtain the size of the bonding wire; The processing parameters are obtained based on the dimensions of the bonding wire.
8. The IoT data management method for the intelligent bonding wire system according to claim 2, characterized in that, The step of sending the conventional representative parameters and the conventional acquisition time to the server for storage includes: The conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time are losslessly compressed using a lossless compression algorithm. The lossless compressed conventional representative parameters, conventional acquisition time, abnormal differential parameters, and abnormal acquisition time are sent to the server for storage.
9. The IoT data management method for the intelligent bonding wire system according to claim 8, characterized in that, The step of sending the lossless compressed conventional representative parameters, the conventional acquisition time, the abnormal difference parameters, and the abnormal acquisition time to the server for storage includes: An asymmetric encryption algorithm is used to encrypt the conventional representative parameters, the conventional acquisition time, the abnormal differential parameters, and the abnormal acquisition time after lossless compression. The encrypted normal representative parameters, normal acquisition time, abnormal differential parameters, and abnormal acquisition time are sent to the server for storage.
10. An Internet of Things (IoT) data management system for an intelligent bonding wire system, characterized in that, The intelligent bonding wire system includes a wire drawing device and a data acquisition component installed on the wire drawing device; The IoT data management system for the smart bonding wire system includes: An acquisition module is used to acquire the data processing cycle and the data acquisition cycle, wherein the data processing cycle includes multiple data acquisition cycles; The calculation module is used to collect multiple sets of processing parameters of the smart bonding wire system through the data acquisition component based on the data acquisition cycle; filter the multiple sets of processing parameters based on a preset parameter range to obtain a regular parameter group, wherein the regular parameter group includes multiple sets of processing parameters; obtain a regular representative parameter based on the multiple sets of processing parameters in the regular parameter group, wherein the regular representative parameter may be the mean, and / or the median; and obtain the regular acquisition time for collecting the multiple sets of processing parameters in the regular parameter group. The storage module is used to send the conventional representative parameters and the conventional acquisition time to the server for storage.