An electrostatic on-line monitoring management method and system for electronic components

Abstract

The application discloses an electrostatic online monitoring management method and system of electronic components, and relates to the field of data processing, wherein the method comprises the following steps: determining a process electrostatic influence factor; constructing a flow monitoring factor list according to process cycle information, the process electrostatic influence factor and factor control requirements; determining a process abnormal factor by using electronic component process monitoring information and the flow monitoring factor list; obtaining anti-static equipment information according to the process environment of the process cycle information; and performing anti-static equipment information application environment and elimination attribute matching based on the process abnormal factor, and generating electrostatic operation control information. The technical problem of poor precision of the electrostatic monitoring management of electronic components in the prior art, which further causes poor electrostatic monitoring management effect of electronic components, is solved. The technical effects of improving the precision, adaptability and quality of the electrostatic monitoring management of electronic components are achieved.

Description

Technical Field

[0001] This invention relates to the field of data processing, and more specifically, to a method and system for online monitoring and management of electrostatic discharge (ESD) of electronic components. Background Technology

[0002] Static electricity easily causes dust to attract onto electronic components and can even cause electromagnetic interference that damages them, accelerating their aging and reducing their overall quality. Static electricity has become a significant factor affecting the production quality of electronic components, and how to effectively monitor and manage static electricity in electronic components has attracted widespread attention.

[0003] In the existing technology, there is a technical problem that the accuracy of electrostatic discharge (ESD) monitoring and management of electronic components is insufficient, resulting in poor ESD monitoring and management effects. Summary of the Invention

[0004] This application provides a method and system for online electrostatic discharge (ESD) monitoring and management of electronic components. It solves the technical problem of insufficient accuracy in existing ESD monitoring and management of electronic components, leading to poor ESD monitoring and management results. It achieves the technical effect of improving the accuracy and adaptability of ESD monitoring and management of electronic components, realizing intelligent, efficient, and precise ESD monitoring and management, and improving the quality of ESD monitoring and management of electronic components.

[0005] In view of the above problems, this application provides a method and system for online monitoring and management of electrostatic discharge (ESD) of electronic components.

[0006] In a first aspect, this application provides a method for online electrostatic discharge (ESD) monitoring and management of electronic components. The method is applied to an online ESD monitoring and management system for electronic components. The method includes: obtaining process cycle information of the electronic components; analyzing the ESD impact relationship of the process environment based on the process cycle information to determine process ESD impact factors; determining factor control requirements based on the process ESD impact factors and ESD management requirements of the electronic components; constructing a flow monitoring factor list based on the process cycle information, process ESD impact factors, and factor control requirements; monitoring the process cycle of the electronic components using IoT devices to obtain electronic component process monitoring information; performing collaborative analysis of each process using the electronic component process monitoring information and the flow monitoring factor list to determine process abnormal factors; obtaining anti-static equipment information based on the process environment of the process cycle information; and matching the application environment and elimination attributes of the anti-static equipment information based on the process abnormal factors to generate ESD operation control information, wherein the ESD operation control information is operation control information for eliminating process abnormal factors using matched anti-static equipment.

[0007] Secondly, this application also provides an online electrostatic discharge (ESD) monitoring and management system for electronic components, wherein the system includes: an ESD impact relationship analysis module, which is used to obtain process cycle information of electronic components, perform ESD impact relationship analysis of the process environment based on the process cycle information, and determine process ESD impact factors; a list construction module, which is used to determine factor control requirements based on the process ESD impact factors and the ESD management requirements of electronic components, and construct a flow monitoring factor list based on the process cycle information, process ESD impact factors, and factor control requirements; and a process cycle monitoring module, which is used to monitor the electronic components through IoT devices. The system includes: a process cycle monitoring module to obtain electronic component process monitoring information; a process collaboration analysis module to perform collaborative analysis of each process using the electronic component process monitoring information and the flow monitoring factor list to determine process anomaly factors; an equipment information acquisition module to obtain anti-static equipment information based on the process environment of the process cycle information; and an electrostatic operation control module to perform application environment and elimination attribute matching of the anti-static equipment information based on the process anomaly factors to generate electrostatic operation control information, which is operation control information for eliminating process anomaly factors by using matched anti-static equipment.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] This method analyzes the electrostatic discharge (ESD) impact on the process environment by analyzing the process cycle information of electronic components, identifying ESD influencing factors. Based on these factors and the ESD management requirements for electronic components, it determines factor control requirements and constructs a list of flow monitoring factors according to the process cycle information, ESD influencing factors, and factor control requirements. It then uses IoT devices to monitor the electronic components' process cycles, obtaining process monitoring information. By collaboratively analyzing the electronic component process monitoring information with the flow monitoring factor list across different processes, it identifies process anomaly factors. Based on these anomaly factors, it performs environmental matching and attribute elimination for anti-static equipment information, generating ESD operation control information. This approach achieves the technical effect of improving the accuracy and adaptability of ESD monitoring and management for electronic components, enabling intelligent, efficient, and precise ESD monitoring and management, and ultimately improving the quality of ESD monitoring and management for electronic components.

[0010] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Obviously, the drawings described below only relate to some embodiments of this disclosure and are not intended to limit this disclosure.

[0012] Figure 1 This is a flowchart illustrating an online electrostatic monitoring and management method for electronic components according to this application.

[0013] Figure 2 This is a flowchart illustrating the process for determining factor control requirements in an online electrostatic monitoring and management method for electronic components according to this application.

[0014] Figure 3 This is a schematic diagram of the structure of an online electrostatic monitoring and management system for electronic components according to this application.

[0015] Figure labeling: 11 Electrostatic Influence Relationship Analysis Module, 12 List Construction Module, 13 Process Cycle Monitoring Module, 14 Process Collaborative Analysis Module, 15 Equipment Information Acquisition Module, 16 Electrostatic Operation Control Module. Detailed Implementation

[0016] This application provides a method and system for online electrostatic discharge (ESD) monitoring and management of electronic components. It solves the technical problem of insufficient accuracy in existing ESD monitoring and management methods for electronic components, leading to poor ESD monitoring and management results. The application achieves the technical effect of improving the accuracy and adaptability of ESD monitoring and management, enabling intelligent, efficient, and precise ESD monitoring and management of electronic components, and ultimately improving the quality of ESD monitoring and management.

[0017] Example 1

[0018] Please see the appendix Figure 1 This application provides a method for online electrostatic discharge (ESD) monitoring and management of electronic components. The method is applied to an online ESD monitoring and management system for electronic components and specifically includes the following steps:

[0019] Step S100: Obtain the process cycle information of electronic components, analyze the electrostatic influence relationship of the process environment based on the process cycle information, and determine the electrostatic influence factor of the process.

[0020] Furthermore, step S100 of this application also includes:

[0021] Step S110: Determine the electronic component operation procedure and process operation positioning information based on the process cycle information;

[0022] Step S120: Based on the process operation positioning information, monitor the ambient temperature and humidity using environmental monitoring equipment to obtain environmental monitoring parameter information;

[0023] Step S130: Determine the operation parameter information according to the operation procedure of the electronic component;

[0024] Step S140: Based on big data recorded information, perform electrostatic support analysis on the environmental monitoring parameter information and the operation parameter information respectively. Based on the support of each parameter in the environmental monitoring parameter information and the operation parameter information, determine the electrostatic impact factor of the process. The electrostatic impact factor of the process is the parameter whose support meets the preset threshold.

[0025] Specifically, the process cycle of electronic components is queried to obtain their process cycle information. This information includes the operational steps and positioning details of the electronic components. The operational steps include information on multiple production nodes such as material feeding, manufacturing, storage, and packaging. The positioning information includes multiple location parameters corresponding to these production nodes within the operational steps.

[0026] Furthermore, environmental monitoring equipment is used to monitor the ambient temperature and humidity of multiple location parameters in the process operation positioning information to obtain environmental monitoring parameter information. The environmental monitoring equipment includes existing ambient temperature and humidity sensors. The environmental monitoring parameter information includes multiple environmental monitoring parameters, such as the ambient temperature and humidity corresponding to the multiple location parameters in the process operation positioning information. Subsequently, operation parameter queries are performed based on the electronic component operation procedures to obtain operation parameter information. The operation parameter information includes multiple operation parameters, such as multiple production control parameters corresponding to multiple production nodes in the electronic component operation procedures.

[0027] Furthermore, historical data is queried using big data to obtain big data record information. This big data record information includes multiple historical environmental monitoring parameters, multiple historical operational parameters, and multiple historical electrostatic impact parameters corresponding to these parameters. Then, based on this big data record information, electrostatic impact analysis is performed on the environmental monitoring parameter information and operational parameter information to obtain multiple electrostatic support levels. These multiple electrostatic support levels include the support level of each parameter in the environmental monitoring parameter information and operational parameter information. That is, the multiple electrostatic support levels include the electrostatic impact parameters corresponding to each parameter in the environmental monitoring parameter information and operational parameter information. Next, it is determined whether each of the multiple electrostatic support levels meets a preset threshold. If the electrostatic support level meets the preset threshold, the environmental monitoring parameter information and operational parameter information corresponding to that electrostatic support level are added to the process electrostatic impact factor. The preset threshold includes a pre-set, determined electrostatic support level threshold. The process electrostatic impact factor includes the environmental monitoring parameter information and operational parameter information corresponding to the electrostatic support levels that meet the preset threshold. This technology achieves the goal of improving the accuracy of electrostatic monitoring and management of electronic components by obtaining accurate and reliable process electrostatic influence factors through electrostatic support analysis of environmental monitoring parameters and operating parameters.

[0028] Step S200: Based on the process electrostatic impact factors and the electrostatic management requirements of electronic components, determine the factor control requirements, and construct a flow monitoring factor list according to the process cycle information, process electrostatic impact factors and factor control requirements;

[0029] Further details are attached. Figure 2 As shown, step S200 of this application further includes:

[0030] Step S210: Perform source tracing analysis based on the electrostatic influence factors in the process to determine the source information of the factors;

[0031] Step S220: Perform constraint analysis based on the factor source information to determine the factor constraints;

[0032] Step S230: Based on the factor constraints and the electrostatic discharge management requirements of electronic components, perform threshold analysis of factor control parameters to determine the factor control requirements.

[0033] Specifically, source analysis is performed based on the electrostatic discharge (ESD) impact factors in the process to obtain factor source information. This factor source information includes the electronic component operation procedures and process operation positioning information corresponding to the ESD impact factors. Then, constraint conditions are set based on the factor source information to obtain factor constraint conditions. These constraint conditions include electronic component operation procedure constraints and process operation positioning information constraints corresponding to the factor source information. Factor control parameter threshold analysis is performed based on the factor constraint conditions and electronic component ESD management requirements to obtain factor control requirements. These electronic component ESD management requirements can be obtained through big data queries or literature review. The factor control requirements include multiple factor control parameter thresholds. These multiple factor control parameter thresholds include multiple production node control parameter thresholds, multiple environmental temperature thresholds, and multiple environmental humidity thresholds corresponding to the factor constraint conditions. Furthermore, a mapping relationship analysis is performed based on the process cycle information, process ESD impact factors, and factor control requirements. Based on this mapping relationship, the process cycle information, process ESD impact factors, and factor control requirements are added to the flow monitoring factor list. This mapping relationship includes the matching relationship between the process cycle information and the process ESD impact factors and factor control requirements. The flow monitoring factor list includes process cycle information, process electrostatic discharge (ESD) impact factors, and factor control requirements arranged according to mapping relationships. This achieves the technical effect of constructing a flow monitoring factor list, providing reliable data references for subsequent collaborative analysis of electronic component process monitoring information across various processes.

[0034] Step S300: Monitor the process cycle of electronic components through IoT devices to obtain electronic component process monitoring information;

[0035] Furthermore, step S300 of this application also includes:

[0036] Step S310: Use IoT devices to locate electronic components in the process and determine the current process location information;

[0037] Step S320: Based on the current process location information, environmental parameter monitoring information of the component process is obtained by monitoring the process environmental parameters through environmental monitoring equipment;

[0038] Step S330: Based on the current process positioning information, process monitoring images are acquired through monitoring equipment, and operation parameters are identified and analyzed based on the process monitoring images to obtain the operation parameter monitoring information of the component process;

[0039] Step S340: The environmental parameter monitoring information and operation parameter monitoring information of the component process are used as the electronic component process monitoring information and are associated and synchronized with the electronic component.

[0040] Specifically, IoT devices are used to locate electronic components during the process, obtaining current process location information. Then, environmental monitoring devices monitor process environmental parameters based on the current process location information, obtaining environmental parameter monitoring information for the component process. Monitoring devices acquire process monitoring images based on the current process location information, obtaining process monitoring images. Operational parameter identification is performed on the process monitoring images to obtain operational parameter monitoring information for the component process. The environmental parameter monitoring information and the operational parameter monitoring information of the component process are output as electronic component process monitoring information, and this information is correlated and synchronized with the electronic components. The IoT devices can be existing IoT positioning sensors. The current process location information includes the location parameters corresponding to the real-time production node information of the electronic component. The environmental parameter monitoring information of the component process includes the ambient temperature and humidity corresponding to the current process location information. The monitoring devices can be any type of camera device capable of acquiring image information, or a combination thereof, as in existing technologies. The process monitoring images include monitoring image data information corresponding to the current process location information. The operational parameter monitoring information of the component process includes multiple electronic component production control parameters corresponding to the process monitoring images. The electronic component process monitoring information includes both environmental parameter monitoring information and operational parameter monitoring information for the component process. This technology achieves the goal of monitoring the process cycle of electronic components through IoT devices, obtaining reliable process monitoring information for electronic components, and thus improving the adaptability of electrostatic monitoring and management of electronic components.

[0041] Step S400: Use the electronic component process monitoring information and the flow monitoring factor list to perform collaborative analysis of each process to determine process abnormal factors;

[0042] Furthermore, step S400 of this application also includes:

[0043] Step S410: Based on the electronic component process monitoring information, determine the current process of the component, and perform process cycle matching based on the current process of the component in the flow monitoring factor list to obtain the process electrostatic impact factor and factor control requirements corresponding to the process.

[0044] Step S420: Use the monitoring parameters in the electronic component process monitoring information to compare and traverse the process electrostatic impact factors and factor control requirements corresponding to the process, and determine the impact factors that do not meet the factor control requirements as the process abnormal factors.

[0045] Specifically, based on electronic component process monitoring information, the current process of the component is determined. The current process includes the current process location information and the current production node information. Then, the current process is used as input information, and a flow monitoring factor list is input. The flow monitoring factor list is used to match the current process cycle to obtain the electrostatic discharge (ESD) impact factors and factor control requirements corresponding to the current process. Furthermore, the electronic component process monitoring information is iteratively compared with the ESD impact factors and factor control requirements corresponding to the current process. Data information in the electronic component process monitoring information that does not meet the factor control requirements corresponding to the current process is output as process anomaly factors. These process anomaly factors include data information in the electronic component process monitoring information that does not meet the factor control requirements corresponding to the current process. This achieves the technical effect of improving the reliability and accuracy of ESD monitoring and management of electronic components by performing collaborative analysis of various processes using the flow monitoring factor list to obtain process anomaly factors.

[0046] Step S500: Obtain antistatic equipment information based on the process environment of the process cycle information;

[0047] Furthermore, step S500 of this application also includes:

[0048] Step S510: Classify the antistatic equipment information by elimination attributes, wherein the elimination attributes include grounding, chemical, and wearable;

[0049] Step S520: Analyze the monitoring and management requirements based on the elimination attributes, and determine the monitoring parameters and monitoring time;

[0050] Step S530: Monitor the information of the antistatic equipment based on the monitoring parameters and monitoring time, and construct an antistatic equipment monitoring database;

[0051] Step S540: Based on the antistatic equipment monitoring database, perform equipment trend prediction analysis to determine predicted maintenance information, and perform operation and maintenance management on the antistatic equipment based on the predicted maintenance information.

[0052] Specifically, based on the process environment information of the process cycle, the information on anti-static equipment is determined. The process environment information includes the operating procedures for electronic components, the ambient temperature range corresponding to the process operation positioning information, and the ambient humidity range. The information on anti-static equipment includes the structural composition, material composition, and application environment of various anti-static equipment such as anti-static work clothes, anti-static workbenches, and anti-static work chairs.

[0053] Furthermore, the antistatic equipment information is categorized by elimination attributes, and monitoring and management requirements are analyzed based on these attributes to obtain monitoring parameters and monitoring time. Then, the antistatic equipment information is monitored according to the monitoring parameters and monitoring time to obtain an antistatic equipment monitoring database. Based on the antistatic equipment monitoring database, equipment trend prediction analysis is performed to obtain predictive maintenance information, and the antistatic equipment is then managed for operation and maintenance based on this information. The elimination attributes include grounding, chemical, and wearability attributes of the antistatic equipment. For example, when the antistatic equipment is antistatic workwear, the corresponding elimination attribute is wearability. The monitoring parameters include the monitoring frequency parameter corresponding to the elimination attribute, the antistatic performance monitoring temperature range, and the antistatic performance monitoring humidity range. The monitoring time includes information from multiple monitoring time points. The antistatic equipment monitoring database includes information on changes in the antistatic performance of the antistatic equipment under the monitoring parameters and monitoring time. The predictive maintenance information includes multiple predictive maintenance parameters for the operation and maintenance management of the antistatic equipment. For example, if the antistatic equipment is antistatic gloves, the antistatic equipment monitoring database indicates that the antistatic performance of the antistatic gloves is poor when they are dirty. When antistatic gloves have been used for one month, they no longer possess antistatic properties. Therefore, the predicted maintenance information includes timely cleaning of dirty antistatic gloves, and the unified disposal and timely replacement of antistatic gloves that have been used for one month. This achieves the technical effect of improving the reliability and effectiveness of antistatic equipment by obtaining reasonable predicted maintenance information through equipment trend prediction analysis of the antistatic equipment monitoring database, and by carrying out timely operation and maintenance management of antistatic equipment based on the predicted maintenance information.

[0054] Step S600: Based on the process abnormality factor, perform application environment and elimination attribute matching of the anti-static equipment information to generate electrostatic operation control information. The electrostatic operation control information is operation control information for eliminating process abnormality factors by matching anti-static equipment.

[0055] Furthermore, step S600 of this application also includes:

[0056] Step S610: Based on the environmental location of the process anomaly factor, perform source analysis to determine whether there is a distance interference factor. If so, issue a distance interference factor warning.

[0057] Step S620: If not, use the environmental location of the process anomaly factor to match the application environment of the antistatic equipment information to determine the matching antistatic equipment information;

[0058] Step S630: Based on the process anomaly factor and the matching antistatic equipment information, perform elimination attribute matching to determine the elimination method and elimination control parameters;

[0059] Step S640: Generate the electrostatic operation control information based on the matched antistatic equipment information, elimination methods, and elimination control parameters.

[0060] Specifically, environmental location is determined based on process anomaly factors. Source analysis is then performed on these environmental locations to obtain the source analysis results. The environmental location of the process anomaly factors includes their corresponding environmental position, humidity, and temperature. The source analysis results include whether distance interference factors exist in the environmental location of the process anomaly factors. Distance interference factors include the presence of electrostatic interference devices such as humidifiers and ionizers at the environmental location corresponding to the process anomaly factors within a preset distance.

[0061] If distance interference factors exist, an early warning is issued. If no distance interference factors exist, the environmental location of the process anomaly factor is matched with the application environment of the anti-static equipment information to obtain matching anti-static equipment information. Then, elimination attribute matching is performed on the process anomaly factor and the matching anti-static equipment information to obtain elimination methods and elimination control parameters. The matching anti-static equipment information, elimination methods, and elimination control parameters are added to the electrostatic operation control information. The matching anti-static equipment information includes anti-static equipment whose environmental location matches the application environment of the anti-static equipment information. The elimination methods include elimination attributes corresponding to the matching anti-static equipment information. The elimination control parameters include operation control parameters and usage control parameters corresponding to the matching anti-static equipment information. The electrostatic operation control information includes the matching anti-static equipment information, elimination methods, and elimination control parameters. The electrostatic operation control information is the operation control information for eliminating process anomalies using matching anti-static equipment. This achieves the technical effect of accurately managing electrostatics by matching the application environment and elimination attributes of anti-static equipment information with process anomalies to generate electrostatic operation control information.

[0062] In summary, the online electrostatic discharge monitoring and management method for electronic components provided in this application has the following technical advantages:

[0063] 1. By analyzing the electrostatic discharge (ESD) impact on the process environment through the process cycle information of electronic components, ESD impact factors are determined. Based on these impact factors and the ESD management requirements of electronic components, factor control requirements are determined. A list of flow monitoring factors is constructed based on the process cycle information, ESD impact factors, and factor control requirements. The process cycle of electronic components is monitored through IoT devices to obtain process monitoring information. Through collaborative analysis of the electronic component process monitoring information and the flow monitoring factor list, abnormal process factors are identified. Based on these abnormal process factors, ESD equipment information is applied to the environment, and attribute matching is performed to generate ESD operation control information. This achieves the technical effect of improving the accuracy and adaptability of ESD monitoring and management of electronic components, realizing intelligent, efficient, and precise ESD monitoring and management, and improving the quality of ESD monitoring and management of electronic components.

[0064] 2. By conducting electrostatic support analysis on environmental monitoring parameters and operating parameters, accurate and reliable process electrostatic influence factors can be obtained, thereby improving the accuracy of electrostatic monitoring and management of electronic components.

[0065] 3. By using a list of flow monitoring factors to conduct collaborative analysis of the electronic component process monitoring information, abnormal factors in the process can be obtained, thereby improving the reliability and accuracy of electrostatic monitoring and management of electronic components.

[0066] 4. By conducting equipment trend prediction analysis on the anti-static equipment monitoring database, reasonable predictive maintenance information can be obtained, and timely operation and maintenance management of anti-static equipment can be carried out based on the predictive maintenance information, thereby improving the reliability and effectiveness of anti-static equipment.

[0067] Example 2

[0068] Based on the same inventive concept as the online electrostatic monitoring and management method for electronic components described in the foregoing embodiments, this invention also provides an online electrostatic monitoring and management system for electronic components. Please refer to the appendix. Figure 3 The system includes:

[0069] Electrostatic Influence Analysis Module 11 is used to obtain process cycle information of electronic components, perform electrostatic influence analysis of the process environment based on the process cycle information, and determine the process electrostatic influence factor.

[0070] The list construction module 12 is used to determine the factor control requirements based on the process electrostatic impact factors and the electrostatic management requirements of electronic components, and to construct a flow monitoring factor list according to the process cycle information, process electrostatic impact factors and factor control requirements.

[0071] Process cycle monitoring module 13 is used to monitor the process cycle of electronic components through Internet of Things devices and obtain process monitoring information of electronic components.

[0072] The process collaboration analysis module 14 is used to perform collaborative analysis of each process using the electronic component process monitoring information and the flow monitoring factor list to determine process abnormal factors.

[0073] Equipment information acquisition module 15, the equipment information acquisition module 15 is used to obtain antistatic equipment information according to the process environment of the process cycle information;

[0074] The electrostatic operation control module 16 is used to match the application environment and elimination attributes of the anti-static equipment information based on the process abnormality factor, and generate electrostatic operation control information. The electrostatic operation control information is operation control information for eliminating process abnormality factors by matching anti-static equipment.

[0075] Furthermore, the system also includes:

[0076] The first execution module is used to determine the electronic component operation procedure and process operation positioning information based on the process cycle information.

[0077] An environmental temperature and humidity monitoring module is used to monitor environmental temperature and humidity through environmental monitoring equipment based on the process operation positioning information to obtain environmental monitoring parameter information.

[0078] An operation parameter information determination module is used to determine operation parameter information based on the operation procedures of the electronic component.

[0079] The electrostatic support analysis module is used to perform electrostatic support analysis on the environmental monitoring parameter information and the operating parameter information based on big data recorded information. According to the support of each parameter in the environmental monitoring parameter information and the operating parameter information, the electrostatic impact factor of the process is determined. The electrostatic impact factor of the process is the parameter whose support meets the preset threshold.

[0080] Furthermore, the system also includes:

[0081] A process positioning module is used to locate electronic components through IoT devices and determine the current process positioning information.

[0082] A process environment parameter monitoring module is used to obtain environmental parameter monitoring information of the component process by monitoring the process environment parameters through environmental monitoring equipment based on the current process positioning information.

[0083] The operation parameter identification and analysis module is used to acquire process monitoring images through monitoring equipment based on the current process positioning information, and to perform operation parameter identification and analysis based on the process monitoring images to obtain the operation parameter monitoring information of the component process.

[0084] An electronic component process monitoring information determination module is used to associate and synchronize the environmental parameter monitoring information and operational parameter monitoring information of the component process with the electronic component as the electronic component process monitoring information.

[0085] Furthermore, the system also includes:

[0086] The traceability analysis module is used to perform traceability analysis based on the electrostatic impact factors of the process to determine the source information of the factors.

[0087] A constraint analysis module is used to perform constraint analysis based on the factor source information to determine factor constraints.

[0088] The factor control requirement determination module is used to perform factor control parameter threshold analysis based on the factor constraints and electronic component electrostatic management requirements to determine the factor control requirements.

[0089] Furthermore, the system also includes:

[0090] The process cycle matching module is used to determine the current process of the component based on the electronic component process monitoring information, and to perform process cycle matching based on the current process of the component in the flow monitoring factor list to obtain the process electrostatic impact factor and factor control requirements corresponding to the process.

[0091] The process anomaly factor determination module is used to compare the monitoring parameters in the electronic component process monitoring information with the process electrostatic influence factors and factor control requirements corresponding to the process to determine the influence factors that do not meet the factor control requirements, and these factors are taken as the process anomaly factors.

[0092] Furthermore, the system also includes:

[0093] The second execution module is used to perform source analysis based on the environmental location of the process anomaly factor, determine whether there is a distance interference factor, and if so, issue a distance interference factor warning.

[0094] The third execution module is used to, if it does not exist, utilize the environmental location of the process anomaly factor to match the application environment of the antistatic equipment information and determine the matching antistatic equipment information.

[0095] An elimination attribute matching module is used to perform elimination attribute matching based on the process anomaly factor and the matching antistatic equipment information, and to determine the elimination method and elimination control parameters.

[0096] An electrostatic operation control information generation module is used to generate electrostatic operation control information based on the matching antistatic equipment information, elimination methods, and elimination control parameters.

[0097] Furthermore, the system also includes:

[0098] An elimination attribute classification module is used to classify the elimination attributes of the antistatic equipment information, wherein the elimination attributes include grounding, chemical, and wearable.

[0099] The monitoring management requirement analysis module is used to analyze the monitoring management requirements based on the elimination attributes, and determine the monitoring parameters and monitoring time.

[0100] A monitoring database construction module is used to monitor the information of the antistatic equipment based on the monitoring parameters and monitoring time, and to construct an antistatic equipment monitoring database.

[0101] The operation and maintenance management module is used to perform equipment trend prediction analysis based on the anti-static equipment monitoring database, determine predicted maintenance information, and perform operation and maintenance management on the anti-static equipment based on the predicted maintenance information.

[0102] The electrostatic discharge (ESD) monitoring and management system for electronic components provided in this embodiment of the invention can execute the ESD monitoring and management method for electronic components provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0103] The modules included are divided according to functional logic, but are not limited to the above division, as long as they can achieve the corresponding functions; in addition, the specific names of each functional module are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0104] This application provides a method for online electrostatic discharge (ESD) monitoring and management of electronic components. The method is applied to an online ESD monitoring and management system for electronic components. The method includes: analyzing the ESD impact relationship of the process environment using the process cycle information of the electronic components to determine process ESD impact factors; determining factor control requirements based on the process ESD impact factors and the ESD management requirements of the electronic components; constructing a flow monitoring factor list based on the process cycle information, process ESD impact factors, and factor control requirements; monitoring the process cycle of the electronic components using IoT devices to obtain electronic component process monitoring information; conducting collaborative analysis of each process using the electronic component process monitoring information and the flow monitoring factor list to determine process abnormal factors; and generating ESD operation control information based on the process abnormal factors, including applying ESD equipment information to the environment and eliminating attribute matching. This method solves the technical problem of insufficient accuracy in existing ESD monitoring and management of electronic components, leading to poor ESD monitoring and management results. It achieves the technical effect of improving the accuracy and adaptability of ESD monitoring and management of electronic components, realizing intelligent, efficient, and accurate ESD monitoring and management of electronic components, and improving the quality of ESD monitoring and management of electronic components.

[0105] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A method for online monitoring and management of electrostatic discharge (ESD) of electronic components, characterized in that, The method includes: Obtain process cycle information for electronic components, analyze the electrostatic influence of the process environment based on the process cycle information, and determine the electrostatic influence factor of the process. Based on the process electrostatic impact factors and the electrostatic management requirements of electronic components, the factor control requirements are determined, and a list of flow monitoring factors is constructed according to the process cycle information, process electrostatic impact factors and factor control requirements. By using IoT devices to monitor the process cycle of electronic components, information on the process monitoring of electronic components can be obtained. By using the electronic component process monitoring information and the flow monitoring factor list, a collaborative analysis of each process is performed to identify process anomaly factors. Based on the process environment of the process cycle information, obtain the antistatic equipment information; Based on the process anomaly factors, the application environment and elimination attributes of the anti-static equipment information are matched to generate electrostatic operation control information. The electrostatic operation control information is the operation control information for eliminating process anomaly factors by matching anti-static equipment. The method further includes: The information on the antistatic equipment is classified by elimination attributes, which include grounding, chemical, and wearable attributes; Based on the elimination attributes, analyze the monitoring and management requirements to determine the monitoring parameters and monitoring time; Based on the monitoring parameters and monitoring time, the information of the antistatic equipment is monitored to construct an antistatic equipment monitoring database; Based on the aforementioned antistatic equipment monitoring database, equipment trend prediction analysis is performed to determine predictive maintenance information, and antistatic equipment is then managed and maintained based on this predictive maintenance information.

2. The method as described in claim 1, characterized in that, The step of analyzing the electrostatic influence of the process environment based on process cycle information to determine the electrostatic influence factors of the process includes: Based on the process cycle information, determine the electronic component operation procedures and process operation positioning information; Based on the process operation positioning information, environmental temperature and humidity are monitored by environmental monitoring equipment to obtain environmental monitoring parameter information; Based on the operation procedures of the electronic components, determine the operation parameter information; Based on big data records, electrostatic support analysis is performed on the environmental monitoring parameters and operating parameters. The electrostatic impact factor of the process is determined according to the support of each parameter in the environmental monitoring parameters and operating parameters. The electrostatic impact factor of the process is the parameter whose support meets a preset threshold.

3. The method as described in claim 2, characterized in that, The process cycle monitoring of electronic components via IoT devices to obtain electronic component process monitoring information includes: The process location information of electronic components is determined by using IoT devices to locate the current process location information. Based on the current process location information, environmental parameter monitoring information of the component process is obtained by monitoring process environmental parameters through environmental monitoring equipment. Based on the current process location information, process monitoring images are acquired through monitoring equipment, and operation parameter identification and analysis are performed based on the process monitoring images to obtain the operation parameter monitoring information of the component process. The environmental parameter monitoring information and operational parameter monitoring information of the component process are used as the electronic component process monitoring information and are associated and synchronized with the electronic component.

4. The method as described in claim 1, characterized in that, Based on the electrostatic impact factors of the aforementioned process and the electrostatic management requirements for electronic components, the factor control requirements are determined, including: Based on the described process, an analysis of the electrostatic influence factors was conducted to determine the source information of the factors. Constraint analysis is performed based on the aforementioned factor source information to determine the factor constraints. Based on the aforementioned factor constraints and electrostatic discharge (ESD) management requirements for electronic components, threshold analysis of factor control parameters is performed to determine the aforementioned factor control requirements.

5. The method as described in claim 1, characterized in that, By using the electronic component process monitoring information and the flow monitoring factor list to perform collaborative analysis of each process, abnormal process factors are identified, including: Based on the electronic component process monitoring information, the current process of the component is determined. Based on the current process of the component, the process cycle is matched in the list of flow monitoring factors to obtain the process electrostatic impact factor and factor control requirements corresponding to the process. The monitoring parameters in the electronic component process monitoring information are compared with the process electrostatic impact factors and factor control requirements corresponding to the process to identify the impact factors that do not meet the factor control requirements, which are then identified as process abnormal factors.

6. The method as described in claim 1, characterized in that, Based on the aforementioned process anomaly factors, the application environment and attribute matching of the anti-static equipment information are performed to generate electrostatic operation control information, including: Based on the environmental location of the process anomaly factors, perform source analysis to determine whether there are distance interference factors. If so, issue a distance interference factor warning. If not, the environmental location of the process anomaly factor is used to match the application environment of the antistatic equipment information to determine the matching antistatic equipment information. Based on the process anomaly factor and the matching antistatic equipment information, elimination attribute matching is performed to determine the elimination method and elimination control parameters. Based on the matching antistatic equipment information, elimination methods, and elimination control parameters, the electrostatic operation control information is generated.

7. An online electrostatic monitoring and management system for electronic components, characterized in that, The system includes: The electrostatic discharge (ESD) impact analysis module is used to obtain process cycle information of electronic components, perform ESD impact analysis on the process environment based on the process cycle information, and determine the process ESD impact factor. The list construction module is used to determine the factor control requirements based on the process electrostatic impact factors and the electrostatic management requirements of electronic components, and to construct a flow monitoring factor list according to the process cycle information, process electrostatic impact factors and factor control requirements. A process cycle monitoring module is used to monitor the process cycle of electronic components through Internet of Things (IoT) devices and obtain process monitoring information of electronic components. The process collaboration analysis module is used to perform collaborative analysis of each process using the electronic component process monitoring information and the flow monitoring factor list to determine process abnormal factors. The equipment information acquisition module is used to obtain antistatic equipment information based on the process environment of the process cycle information. An electrostatic operation control module is used to match the application environment and elimination attributes of the anti-static equipment information based on the process abnormality factors, and generate electrostatic operation control information, which is operation control information for eliminating process abnormality factors by matching anti-static equipment. The equipment information acquisition module also includes: The information on the antistatic equipment is classified by elimination attributes, which include grounding, chemical, and wearable attributes; Based on the elimination attributes, analyze the monitoring and management requirements to determine the monitoring parameters and monitoring time; Based on the monitoring parameters and monitoring time, the information of the antistatic equipment is monitored to construct an antistatic equipment monitoring database; Based on the aforementioned antistatic equipment monitoring database, equipment trend prediction analysis is performed to determine predictive maintenance information, and antistatic equipment is then managed and maintained based on this predictive maintenance information.

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