CN118037055A - Method and system for sequencing ESD risk of multiple production stations - Google Patents
Method and system for sequencing ESD risk of multiple production stations Download PDFInfo
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- CN118037055A CN118037055A CN202410232371.6A CN202410232371A CN118037055A CN 118037055 A CN118037055 A CN 118037055A CN 202410232371 A CN202410232371 A CN 202410232371A CN 118037055 A CN118037055 A CN 118037055A
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- 238000012502 risk assessment Methods 0.000 claims abstract description 17
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Abstract
The invention provides a method and a system for sequencing ESD risks of a plurality of production stations, and relates to the technical field of production management. The ESD risk ordering system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring ESD risk factors on a production station in real time; the data processing module is used for processing the acquired data and extracting the type of ESD accident, the accident frequency and the accident loss data; the risk assessment module is used for carrying out data processing according to the processed data; the risk ranking module is used for ranking the ESD risks of all the production stations according to the evaluation results; and the output module is used for displaying the ordered production station ESD risk level. The invention has the advantages of objectivity, accuracy, real-time updating and the like, is beneficial to the management of the ESD risk in the production process of a production enterprise, improves the production safety, and can adjust the ESD risk assessment index and the sequencing method according to the actual condition of the production enterprise in practical application so as to meet the demands of different enterprises.
Description
Technical Field
The invention relates to the technical field of production management, in particular to a method and a system for sequencing ESD risks of a plurality of production stations.
Background
Electrostatic discharge (ESD) is a common hazard in a production environment that may lead to serious consequences such as equipment damage, production interruption, etc., and in order to effectively prevent and control ESD risk, risk assessment and sequencing of production stations is required.
However, the existing ESD risk assessment method adopts methods such as manual inspection, periodic inspection and qualitative assessment to assess the ESD risk, and the method has the following defects that the manual inspection is influenced by factors such as personnel quality and fatigue, the periodic inspection cannot find abnormal conditions in time, the subjectivity of qualitative assessment is high, and deviation exists on ESD risk identification results, so that it is necessary to develop a method and a system for sequencing the ESD risk of a plurality of production stations based on an algorithm to improve the efficiency and accuracy of ESD risk management.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a system for sequencing the ESD risks of a plurality of production stations, which solve the problems that the ESD risk assessment in the prior art lacks objective quantitative indexes and the assessment process is complex.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a system for ordering ESD risk for a plurality of production stations, comprising: the data acquisition module is used for acquiring the ESD risk factors on the production station in real time; the data processing module is used for processing the acquired data and extracting the type of ESD accident, the accident frequency and the accident loss data; the risk assessment module is used for assessing the ESD risk of each production station by adopting an assessment algorithm according to the processed data; the risk ranking module is used for ranking the ESD risks of all the production stations according to the evaluation results; and the output module is used for displaying the ordered ESD risk levels of the production stations so that related personnel can know and control the static risk in the production process in time.
Preferably, the data acquisition module comprises an electrostatic voltage sensor and an electrostatic discharge detector, wherein the electrostatic voltage sensor is used for measuring the electrostatic voltage on the production station in real time, and the electrostatic discharge detector is used for detecting the electrostatic discharge condition on the production station in real time.
Preferably, the data processing module comprises a data cleaning unit, a data filtering unit and a risk analysis unit, wherein the data cleaning unit is used for removing noise and abnormal values in the acquired data; the data filtering unit is used for filtering the acquired data so as to reduce interference in the data; the risk analysis unit is used for analyzing the ESD accident type, the accident frequency and the accident loss data according to the processed data.
Preferably, the risk evaluation module assigns ESD risk weights to each station and evaluates ESD risk of each production station by adopting a neural network algorithm, wherein the evaluation formula is as follows
W＝a1*w1+a2*w2+a3*w3
Where W is an ESD risk weight, a 1、a2 and a 3 are an accident type coefficient, an accident frequency coefficient, and an accident loss coefficient, respectively, and W 1、w2 and W 3 are an accident type weight, an accident frequency weight, and an accident loss weight, respectively.
Preferably, the risk ranking module includes a risk ranking unit and a risk ranking unit, the risk ranking unit is configured to rank the ESD risk of each production station into different levels according to the evaluation result, and the risk ranking unit is configured to rank the ESD risk of each production station according to the classified risk levels.
Preferably, the output module comprises a monitoring platform and an alarm system, wherein the monitoring platform is used for displaying the ordered ESD risk levels of the production stations so that related personnel can know and control the static risk in the production process in time; and the alarm system is used for timely sending feedback information to related personnel when abnormal conditions are detected, and reminding the related personnel to take corresponding measures for processing.
Preferably, a method for ordering ESD risk for a plurality of production stations, comprising the steps of:
s1, acquiring ESD risk factors on a production station in real time through an ESD monitoring system;
S2, carrying out data cleaning and filtering processing on the acquired data and analyzing the type of ESD accident, accident frequency and accident loss data;
S3, according to the processed data, adopting a neural network evaluation algorithm to evaluate the ESD risk of each production station;
s4, sorting the ESD risks of all the production stations according to the evaluation result;
s5, displaying the ordered ESD risk level of the production station, and timely knowing and controlling the static risk in the production process by related personnel.
Preferably, in the step S4, the ESD risk of each production station is classified into different grades according to low, medium and high grades.
The invention provides a method and a system for sequencing ESD risks of a plurality of production stations. The beneficial effects are as follows:
The ESD risk sorting method system provided by the invention has the advantages of objectivity, accuracy, real-time updating and the like, is beneficial to the management of the ESD risk in the production process of a production enterprise, improves the production safety, and can adjust the ESD risk assessment index and the sorting method according to the actual condition of the production enterprise in practical application so as to meet the demands of different enterprises.
Drawings
FIG. 1 is a system diagram of the present invention;
Fig. 2 is a flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
As shown in fig. 1, an embodiment of the present invention provides a system for ordering ESD risk of a plurality of production stations, including a data acquisition module for acquiring ESD risk factors on the production stations in real time; the data processing module is used for processing the acquired data and extracting the type of ESD accident, the accident frequency and the accident loss data; the risk assessment module is used for assessing the ESD risk of each production station by adopting an assessment algorithm according to the processed data; the risk ranking module is used for ranking the ESD risks of all the production stations according to the evaluation results; and the output module is used for displaying the ordered ESD risk levels of the production stations so that related personnel can know and control the static risk in the production process in time.
The data acquisition module comprises an electrostatic voltage sensor and an electrostatic discharge detector, wherein the electrostatic voltage sensor is used for measuring the electrostatic voltage on the production station in real time, and the electrostatic discharge detector is used for detecting the electrostatic discharge condition on the production station in real time.
The data processing module comprises a data cleaning unit, a data filtering unit and a risk analysis unit, wherein the data cleaning unit is used for removing noise and abnormal values in the acquired data; the data filtering unit is used for filtering the acquired data so as to reduce interference in the data; the risk analysis unit is used for analyzing the ESD accident type, the accident frequency and the accident loss data according to the processed data.
The risk evaluation module gives ESD risk weight to each station and evaluates the ESD risk of each production station by adopting a neural network algorithm, wherein the evaluation formula is as follows
W＝a1*w1+a2*w2+a3*w3
Where W is an ESD risk weight, a 1、a2 and a 3 are an accident type coefficient, an accident frequency coefficient, and an accident loss coefficient, respectively, and W 1、w2 and W 3 are an accident type weight, an accident frequency weight, and an accident loss weight, respectively.
The risk ranking module comprises a risk ranking unit and a risk ranking unit, wherein the risk ranking unit is used for ranking the ESD risks of each production station into different ranks according to the evaluation result, and the risk ranking unit is used for ranking the ESD risks of each production station according to the ranked risk ranks.
The output module comprises a monitoring platform and an alarm system, wherein the monitoring platform is used for displaying the ordered ESD risk level of the production station so that related personnel can know and control the electrostatic risk in the production process in time; and the alarm system is used for timely sending feedback information to related personnel when abnormal conditions are monitored, and reminding the related personnel to take corresponding measures for processing.
Specifically, the ESD risk factors on the production stations are collected in real time through the ESD monitoring system, the real-time performance and accuracy of the data are ensured, the collected data are processed through the data cleaning unit, the data filtering unit and the risk analysis, noise and abnormal values are removed, the data quality is improved, the ESD risk of each production station is evaluated through a neural network algorithm, the weight of the ESD risk of each station is given, accordingly, the intelligent evaluation of the ESD risk of different production stations is achieved, the ESD risk of each production station is ordered according to the evaluation result, relevant personnel can know and control the ESD risk in the production process in time, the ESD risk of each production station is divided into different grades according to low, medium and high levels, corresponding control measures are conveniently adopted, the ordered production station ESD risk grades and the abnormal condition alarm are displayed in real time through the monitoring platform and the alarm system, the relevant personnel can timely take measures to reduce the ESD risk in the production process, the whole system is high in automation degree, the manual intervention is reduced, the operation errors are reduced, the implementation in the production site is easy, the production safety is facilitated, and the risk of accidents are reduced.
As shown in the figure 2 of the drawings,
A method for ordering ESD risk for a plurality of production stations, comprising the steps of:
s1, acquiring ESD risk factors on a production station in real time through an ESD monitoring system;
S2, carrying out data cleaning and filtering processing on the acquired data and analyzing the type of ESD accident, accident frequency and accident loss data;
S3, according to the processed data, adopting a neural network evaluation algorithm to evaluate the ESD risk of each production station;
s4, sorting the ESD risks of all the production stations according to the evaluation result;
s5, displaying the ordered ESD risk level of the production station, and timely knowing and controlling the static risk in the production process by related personnel.
And S4, sorting the ESD risks of the production stations into different grades according to low, medium and high grades.
The method can accurately monitor and evaluate the electrostatic risk in the production process in real time, is beneficial to improving the production safety and reducing the risk of accidents, realizes the automatic management of the ESD risk of the production station through the steps of data acquisition, processing, evaluation, sequencing, output and the like, and is beneficial to timely knowing and controlling the electrostatic risk by related personnel.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A system for ordering ESD risk for a plurality of production stations, comprising: the data acquisition module is used for acquiring the ESD risk factors on the production station in real time; the data processing module is used for processing the acquired data and extracting the type of ESD accident, the accident frequency and the accident loss data; the risk assessment module is used for assessing the ESD risk of each production station by adopting an assessment algorithm according to the processed data; the risk ranking module is used for ranking the ESD risks of all the production stations according to the evaluation results; and the output module is used for displaying the ordered ESD risk levels of the production stations so that related personnel can know and control the static risk in the production process in time.
2. A system for ordering ESD risk for a plurality of production stations according to claim 1, wherein: the data acquisition module comprises an electrostatic voltage sensor and an electrostatic discharge detector, wherein the electrostatic voltage sensor is used for measuring the electrostatic voltage on the production station in real time, and the electrostatic discharge detector is used for detecting the electrostatic discharge condition on the production station in real time.
3. A system for ordering ESD risk for a plurality of production stations according to claim 1, wherein: the data processing module comprises a data cleaning unit, a data filtering unit and a risk analysis unit, wherein the data cleaning unit is used for removing noise and abnormal values in acquired data; the data filtering unit is used for filtering the acquired data so as to reduce interference in the data; the risk analysis unit is used for analyzing the ESD accident type, the accident frequency and the accident loss data according to the processed data.
4. A system for ordering ESD risk for a plurality of production stations according to claim 1, wherein: the risk assessment module gives ESD risk weight to each station and adopts a neural network algorithm to assess the ESD risk of each production station, and the assessment formula is as follows
W＝a1*w1+a2*w2+a3*w3
Where W is an ESD risk weight, a 1、a2 and a 3 are an accident type coefficient, an accident frequency coefficient, and an accident loss coefficient, respectively, and W 1、w2 and W 3 are an accident type weight, an accident frequency weight, and an accident loss weight, respectively.
5. A system for ordering ESD risk for a plurality of production stations according to claim 1, wherein: the risk ranking module comprises a risk ranking unit and a risk ranking unit, wherein the risk ranking unit is used for ranking the ESD risks of each production station into different ranks according to the evaluation result, and the risk ranking unit is used for ranking the ESD risks of each production station according to the ranked risk ranks.
6. A system for ordering ESD risk for a plurality of production stations according to claim 1, wherein: the output module comprises a monitoring platform and an alarm system, wherein the monitoring platform is used for displaying the ordered ESD risk levels of the production stations so that related personnel can know and control the static risk in the production process in time; and the alarm system is used for timely sending feedback information to related personnel when abnormal conditions are detected, and reminding the related personnel to take corresponding measures for processing.
7. A method for ordering ESD risk for a plurality of production sites, using a system for ordering ESD risk for a plurality of production sites as claimed in any of claims 1-6, comprising the steps of:
s1, acquiring ESD risk factors on a production station in real time through an ESD monitoring system;
S2, carrying out data cleaning and filtering processing on the acquired data and analyzing the type of ESD accident, accident frequency and accident loss data;
S3, according to the processed data, adopting a neural network evaluation algorithm to evaluate the ESD risk of each production station;
s4, sorting the ESD risks of all the production stations according to the evaluation result;
s5, displaying the ordered ESD risk level of the production station, and timely knowing and controlling the static risk in the production process by related personnel.
8. A method and system for ordering ESD risk for a plurality of production stations according to claim 7, wherein: and in the step S4, the ESD risks of the production stations are classified into different grades according to low, medium and high grades.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410232371.6A CN118037055A (en) | 2024-03-01 | 2024-03-01 | Method and system for sequencing ESD risk of multiple production stations |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202410232371.6A CN118037055A (en) | 2024-03-01 | 2024-03-01 | Method and system for sequencing ESD risk of multiple production stations |
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