CN114969140A - Detection and analysis method for product performance data of fluency strip - Google Patents
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Abstract
本发明公开了一种流利条产品性能数据检测分析方法，涉及产品性能数据检测分析技术领域，解决了现有技术中无法对流利条产品性能进行准确检测分析的技术问题，准确判定流利条的生产数据的合格区间，从而提高对流利条的监管，有效且准确判断流利条的产品性能，提高流利条的生产质量；对不合格流利条进行异常特征分析，分析出流利条的异常特征，从而对流利条故障的影响程度进行合理把控，提高了故障流利条的整改及时性，同时有效预防流利条故障的发生；对历史不合格流利条的主要故障特征进行影响因素分析，判断主要故障特征的影响因素，同时能够控制影响因素对主要故障特征的影响，提高了流利条生产效率的同时能够减少流利条的故障频率。
The invention discloses a method for detecting and analyzing the performance data of a fluent strip product, which relates to the technical field of product performance data detection and analysis, solves the technical problem that the product performance of the fluent strip cannot be accurately detected and analyzed in the prior art, and accurately determines the production of the fluent strip. The qualified interval of the data, so as to improve the supervision of the fluent strip, effectively and accurately judge the product performance of the fluent strip, and improve the production quality of the fluent strip; analyze the abnormal characteristics of the unqualified fluent strip, analyze the abnormal characteristics of the fluent strip, and then analyze the abnormal characteristics of the fluent strip. Reasonable control of the influence degree of fluent strip failures improves the rectification timeliness of faulty fluent strips, and at the same time effectively prevents the occurrence of fluent strip faults; analyzes the influencing factors of the main fault characteristics of historically unqualified fluent strips, and determines the main fault characteristics. At the same time, it can control the influence of the influencing factors on the main fault characteristics, improve the production efficiency of the fluent strip and reduce the failure frequency of the fluent strip.
Description
技术领域technical field
本发明涉及产品性能数据检测分析技术领域，具体为一种流利条产品性能数据检测分析方法。The invention relates to the technical field of product performance data detection and analysis, in particular to a fluent strip product performance data detection and analysis method.
背景技术Background technique
流利条是铝合金滑轨的简称，因其安装方便快捷，放置于上方的物品运行流畅利索，顾名思义称为流利条，多用于车间物料架等使用，近年来随着精益生产方式的深入，为了降低成本出现了塑胶产品流利条，其中平滑筒被称为第二代流利条，快滑条被称为第三代流利条，随着流利条使用量的日益增加，流利条的产品性能检测则显得格外重要；The fluent strip is the abbreviation of the aluminum alloy slide rail. Because of its convenient and fast installation, the items placed on the top run smoothly and neatly. As the name suggests, it is called the fluent strip. To reduce costs, fluent strips of plastic products have appeared. Among them, the smooth cylinder is called the second generation of fluent strips, and the fast sliding strip is called the third generation of fluent strips. With the increasing use of fluent strips, the product performance testing of fluent strips is appear extremely important;
但是在现有技术中，无法通过历史生产数据分析获取到合格流利条的生产数据合格区间，导致质量检测的准确性降低，同时不能够分析不合格流利条的影响因素，无法提高流利条生产效率的同时能够减少流利条的故障频率；However, in the prior art, it is impossible to obtain the qualified range of production data of qualified fluent bars through historical production data analysis, resulting in a decrease in the accuracy of quality inspection, and at the same time, it is impossible to analyze the influencing factors of unqualified fluent bars, and it is impossible to improve the production efficiency of fluent bars. At the same time, it can reduce the failure frequency of the fluent strip;
针对上述的技术缺陷，现提出一种解决方案。Aiming at the above-mentioned technical defects, a solution is proposed.
发明内容SUMMARY OF THE INVENTION
本发明的目的就在于为了解决的问题，而提出一种流利条产品性能数据检测分析方法，对历史生产的流利条进行数据分析，准确判定流利条的生产数据的合格区间，从而提高对流利条的监管，有效且准确判断流利条的产品性能，提高流利条的生产质量；对不合格流利条进行异常特征分析，对出现故障的流利条进行分析，分析出流利条的异常特征，从而对流利条故障的影响程度进行合理把控，提高了故障流利条的整改及时性，同时有效预防流利条故障的发生，降低流利条的故障率；对历史不合格流利条的主要故障特征进行影响因素分析，判断主要故障特征的影响因素，从而控制主要故障特征带来的影响，同时能够控制影响因素对主要故障特征的影响，提高了流利条生产效率的同时能够减少流利条的故障频率。The purpose of the present invention is to solve the problem, and propose a method for detecting and analyzing the product performance data of the fluent bar, which analyzes the data of the historically produced fluent bar, and accurately determines the qualified interval of the production data of the fluent bar, thereby improving the accuracy of the fluent bar. It can effectively and accurately judge the product performance of the fluent strip, and improve the production quality of the fluent strip; analyze the abnormal characteristics of the unqualified fluent strip, analyze the faulty fluent strip, and analyze the abnormal characteristics of the fluent strip, so as to improve the quality of the fluent strip. Reasonable control of the influence degree of the faulty strips, improving the timeliness of the rectification of the faulty fluent strips, at the same time effectively preventing the occurrence of fluent strips failures, reducing the failure rate of the fluent strips; analyzing the main failure characteristics of the historically unqualified fluent strips. , to determine the influencing factors of the main fault characteristics, so as to control the influence of the main fault characteristics, and at the same time, it can control the influence of the influencing factors on the main fault characteristics, improve the production efficiency of the fluent strip, and reduce the failure frequency of the fluent strip.
本发明的目的可以通过以下技术方案实现：The object of the present invention can be realized through the following technical solutions:
一种流利条产品性能数据检测分析方法，具体数据检测分析方法步骤如下：A fluent strip product performance data detection and analysis method, the specific data detection and analysis method steps are as follows:
步骤一、历史数据分析，通过对历史生产的流利条进行数据分析，判断流利条生产数据的合格区间；Step 1, historical data analysis, through data analysis of historically produced fluent bars, to determine the qualified range of fluent bars production data;
步骤二、异常特征分析，对出现故障的流利条进行分析，判断流利条的异常特征；Step 2, abnormal feature analysis, analyze the faulty fluent strip, and judge the abnormal characteristics of the fluent strip;
步骤三、影响因素分析，根据流利条的异常特征获取到流利条的影响因素，从而对流利条异常进行预测；Step 3: Analyze the influencing factors, obtain the influencing factors of the fluency bar according to the abnormal characteristics of the fluency bar, so as to predict the abnormality of the fluency bar;
步骤四、实时检测，对实时完成生产的流利条进行质量分析检测。Step 4, real-time detection, to carry out quality analysis and detection on the fluent strip produced in real time.
作为本发明的一种优选实施方式，步骤一中历史数据分析过程如下：As a preferred embodiment of the present invention, the historical data analysis process in step 1 is as follows:
将历史生产的流利条标记为完工流利条，设置标号i，i为大于1的自然数，采集到完工流利条的故障次数和使用频率，若完工流利条的故障次数未超过故障次数阈值且使用频率超过使用频率阈值，则将对应完工流利条标记为合格流利条；若完工流利条的故障次数超过故障次数阈值且使用频率未超过使用频率阈值，则将对应完工流利条标记为不合格流利条；Mark the historically produced fluent bars as completed fluent bars, set the label i, where i is a natural number greater than 1, and collect the number of failures and usage frequency of the completed fluent bars, if the number of failures of the completed fluent bars does not exceed the threshold of the number of failures and the frequency of use If the usage frequency threshold is exceeded, the corresponding completed fluent bar will be marked as a qualified fluent bar; if the number of failures of the completed fluent bar exceeds the failure count threshold and the frequency of use does not exceed the usage frequency threshold, the corresponding completed fluent bar will be marked as an unqualified fluent bar;
将合格流利条进行分析，获取到合格流利条的环境数据和设备数据，环境数据包括环境温度和环境湿度，设备数据包括设备运行时长和设备运行频率，采集到合格流利条生产过程的环境数据和设备数据，将环境数据内环境温度和环境湿度进行数值统计，将环境温度最高数值和环境温度最低数值进行采集，通过环境温度最高数值和温度最低数值获取到环境温度区间；将环境湿度最高数值和环境湿度最低数值进行采集，通过环境湿度最高数值和湿度最低数值获取到环境湿度区间；Analyze the qualified fluent strips to obtain the environmental data and equipment data of the qualified fluent strips. The environmental data includes ambient temperature and environmental humidity, and the equipment data includes the equipment running time and equipment operating frequency. The environmental data and equipment data of the production process of the qualified fluent strips are collected. Device data, carry out numerical statistics on the ambient temperature and ambient humidity in the environmental data, collect the highest value of the ambient temperature and the lowest value of the ambient temperature, and obtain the ambient temperature range through the highest value of the ambient temperature and the lowest value of the temperature; The lowest value of ambient humidity is collected, and the ambient humidity interval is obtained through the highest value of ambient humidity and the lowest value of humidity;
将设备数据内设备运行时长和设备运行频率进行数值统计，将设备运行时长最高数值和设备运行时长最低数值进行采集，通过设备运行时长最高数值和设备运行时长最低数值获取到设备运行时长区间；将设备运行频率的最高数值和设备运行频率最低数值进行采集，通过设备运行频率的最高数值和设备运行频率最低数值获取到设备运行频率区间；将合格流利条的环境温度区间、环境湿度区间、设备运行时长区间以及设备运行频率区间进行储存。Perform numerical statistics on the equipment operating time and equipment operating frequency in the equipment data, collect the highest value of the equipment operating time and the lowest value of the equipment operating time, and obtain the equipment operating time interval through the highest value of the equipment operating time and the lowest value of the equipment operating time; The highest value of the equipment operating frequency and the lowest value of the equipment operating frequency are collected, and the equipment operating frequency interval is obtained through the highest value of the equipment operating frequency and the lowest value of the equipment operating frequency; The duration interval and the operating frequency interval of the equipment are stored.
作为本发明的一种优选实施方式，步骤二的异常特征分析过程如下：As a preferred embodiment of the present invention, the abnormal feature analysis process in step 2 is as follows:
将历史不合格流利条标记为特征分析对象，采集到特征分析对象的故障特征，将特征分析对象的故障特征设置标号o，o为大于1的自然数；采集到特征分析对象的故障特征出现频率以及维护总耗时长，并将特征分析对象的故障特征出现频率以及维护总耗时长分别标记为PLo和SCo；采集到特征分析对象的故障特征出现频率的增长速度，并将特征分析对象的故障特征出现频率的增长速度标记为SDo；Mark the historical unqualified fluent bar as the feature analysis object, collect the fault features of the feature analysis object, set the label o for the fault feature of the feature analysis object, and o is a natural number greater than 1; The total maintenance time is long, and the frequency of occurrence of fault features of the feature analysis object and the total maintenance time are marked as PLo and SCo respectively; The rate of increase in frequency is marked as SDo;
通过分析获取到故障特征的分析系数Xo，将故障特征的分析系数与分析系数阈值进行比较：The analysis coefficient Xo of the fault feature is obtained through analysis, and the analysis coefficient of the fault feature is compared with the analysis coefficient threshold:
若故障特征的分析系数超过分析系数阈值，则将对应故障特征标记为主要故障特征；若故障特征的分析系数未超过分析系数阈值，则将对应故障特征标记为次要故障特征；If the analysis coefficient of the fault feature exceeds the analysis coefficient threshold, the corresponding fault feature will be marked as the main fault feature; if the analysis coefficient of the fault feature does not exceed the analysis coefficient threshold, the corresponding fault feature will be marked as the secondary fault feature;
将主要故障特征进行实时更新并储存，若流利条在生产过程中出现主要故障特征，则立即对流利条的生产线进行整顿。The main fault characteristics are updated and stored in real time. If the main fault characteristics of the fluent strip appear in the production process, the production line of the fluent strip will be rectified immediately.
作为本发明的一种优选实施方式，步骤三的影响因素分析过程如下：As a preferred embodiment of the present invention, the influencing factor analysis process of step 3 is as follows:
设置影响因素采集时间段，且历史不合格流利条的主要故障特征出现时刻为影响因素采集时间段中间时刻；主要故障特征出现时刻将影响因素采集时间段划分为前部时间段和后部时间段；采集到流利条生产的数值数据，并数值数据进行分析；Set the time period for the collection of influencing factors, and the time when the main fault features of the historically unqualified fluent bars appear is the middle time of the time period for the collection of influencing factors; when the main fault features appear, the time period for the collection of influencing factors is divided into the front time period and the back time period ; Collect the numerical data produced by the fluent strip, and analyze the numerical data;
采集到前部时间段内数值数据的浮动值，若数值数据的浮动值超过对应浮动值阈值，则将对应数值数据标记为导致影响因素；若数值数据的浮动值未超过对应浮动值阈值，则将对应数值数据标记为无关影响因素；采集到后部时间段内数值数据的浮动值，若数值数据的浮动值由未超过对应浮动值阈值转变为超过对应浮动值阈值，则将对应数据数值标记为因变影响因素；若数值数据的浮动值未超过对应浮动值阈值且浮动幅度未超过对应浮动幅度阈值，则将对应数值数据表示为无关影响因素；The floating value of the numerical data in the previous time period is collected. If the floating value of the numerical data exceeds the corresponding floating value threshold, the corresponding numerical data will be marked as a contributing factor; if the floating value of the numerical data does not exceed the corresponding floating value threshold, then Mark the corresponding numerical data as irrelevant influencing factors; if the floating value of the numerical data in the later time period is collected, if the floating value of the numerical data changes from not exceeding the corresponding floating value threshold to exceeding the corresponding floating value threshold, then mark the corresponding data numerical value is a variable influencing factor; if the floating value of the numerical data does not exceed the corresponding floating value threshold and the floating range does not exceed the corresponding floating range threshold, the corresponding numerical data will be expressed as an irrelevant influencing factor;
将导致影响因素和因变影响因素进行保存，在未出现主要故障特征时对导致影响因素进行实时监控，在出现主要故障特征时对因变应吸纳过因素进行及时整顿控制。The leading factors and the influencing factors are saved, and the leading factors are monitored in real time when the main fault features do not appear, and the factors that have been absorbed due to changes are rectified and controlled in time when the main fault features appear.
作为本发明的一种优选实施方式，步骤四的实时检测过程如下：As a preferred embodiment of the present invention, the real-time detection process of step 4 is as follows:
将实时完成生存的流利条标记为实时检测流利条，采集到实时检测流利条的抽检合格率以及频繁使用的最长合格时长，并将实时检测流利条的抽检合格率以及频繁使用的最长合格时长分别与合格率阈值和合格时长阈值进行比较：Mark the real-time survival fluent strips as real-time detection fluent strips, collect the sampling pass rate of real-time detection fluency strips and the longest qualified duration of frequent use, and record the sampling pass rate of real-time detection fluency strips and the longest qualified time of frequent use. The duration is compared with the pass rate threshold and pass duration threshold, respectively:
若实时检测流利条的抽检合格率超过合格率阈值，且频繁使用的最长合格时长超过合格时长阈值，则判定对应实时检测流利条质量合格，并将其标记为实时合格流利条；若实时检测流利条的抽检合格率未超过合格率阈值，或者频繁使用的最长合格时长未超过合格时长阈值，则判定对应实时检测流利条质量不合格，并将其标记为实时不合格流利条。If the sampling pass rate of the real-time detection fluency bar exceeds the pass rate threshold, and the longest qualified duration of frequent use exceeds the pass duration threshold, the corresponding real-time detection fluency bar is judged to be qualified in quality, and it is marked as a real-time qualified fluency bar; If the sampling pass rate of the fluency bar does not exceed the pass rate threshold, or the longest qualified duration of frequent use does not exceed the pass duration threshold, it is determined that the quality of the corresponding real-time detection fluency bar is unqualified, and it is marked as a real-time unqualified fluency bar.
与现有技术相比，本发明的有益效果是：Compared with the prior art, the beneficial effects of the present invention are:
1、本发明中，对历史生产的流利条进行数据分析，准确判定流利条的生产数据的合格区间，从而提高对流利条的监管，有效且准确判断流利条的产品性能，提高流利条的生产质量；对不合格流利条进行异常特征分析，对出现故障的流利条进行分析，分析出流利条的异常特征，从而对流利条故障的影响程度进行合理把控，提高了故障流利条的整改及时性，同时有效预防流利条故障的发生，降低流利条的故障率；1. In the present invention, data analysis is performed on the historically produced fluent bars, and the qualified interval of the production data of the fluent bars is accurately determined, thereby improving the supervision of the fluent bars, effectively and accurately judging the product performance of the fluent bars, and improving the production of the fluent bars. Quality; analyze the abnormal characteristics of the unqualified fluent strips, analyze the faulty fluent strips, and analyze the abnormal characteristics of the fluent strips, so as to reasonably control the degree of influence of the faulty fluent strips, and improve the timely rectification of the faulty fluent strips At the same time, it can effectively prevent the occurrence of fluent strip failures and reduce the failure rate of fluent strips;
2、本发明中，对历史不合格流利条的主要故障特征进行影响因素分析，判断主要故障特征的影响因素，从而控制主要故障特征带来的影响，同时能够控制影响因素对主要故障特征的影响，提高了流利条生产效率的同时能够减少流利条的故障频率；对实时完成生产的流利条进行质量分析检测，对流利条生产质量把控的同时，能够判断数据分析是否监测合格，防止出现分析步骤异常导致流利条的质量监测效率降低，从而增加了流利条出现故障的风险。2. In the present invention, the influence factor analysis is carried out on the main fault characteristics of the historically unqualified fluent strip, and the influence factors of the main fault characteristics are judged, so as to control the influence of the main fault characteristics, and at the same time, the influence of the influence factors on the main fault characteristics can be controlled. , which can improve the production efficiency of fluent strips and reduce the frequency of failures of fluent strips; carry out quality analysis and detection of fluent strips that have completed production in real time, and control the production quality of fluent strips. Abnormal steps lead to a decrease in the quality monitoring efficiency of the fluent bar, thereby increasing the risk of the fluent bar malfunctioning.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative efforts.
图1为本发明的原理框图。FIG. 1 is a principle block diagram of the present invention.
具体实施方式Detailed ways
下面将结合实施例对本发明的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
请参阅图1所示，一种流利条产品性能数据检测分析方法，具体数据检测分析方法步骤如下：Please refer to Figure 1, a method for detecting and analyzing the performance data of a fluent strip product. The steps of the specific data detecting and analyzing method are as follows:
步骤一、历史数据分析，通过对历史生产的流利条进行数据分析，判断流利条生产数据的合格区间；Step 1, historical data analysis, through data analysis of historically produced fluent bars, to determine the qualified range of fluent bars production data;
步骤二、异常特征分析，对出现故障的流利条进行分析，判断流利条的异常特征；Step 2, abnormal feature analysis, analyze the faulty fluent strip, and judge the abnormal characteristics of the fluent strip;
步骤三、影响因素分析，根据流利条的异常特征获取到流利条的影响因素，从而对流利条异常进行预测；Step 3: Analyze the influencing factors, obtain the influencing factors of the fluency bar according to the abnormal characteristics of the fluency bar, so as to predict the abnormality of the fluency bar;
步骤四、实时检测，对实时完成生产的流利条进行质量分析检测；Step 4, real-time detection, carry out quality analysis and detection on the fluent strip produced in real time;
步骤一对历史生产的流利条进行数据分析，准确判定流利条的生产数据的合格区间，从而提高对流利条的监管，有效且准确判断流利条的产品性能，提高流利条的生产质量，具体历史数据分析过程如下：The step is to analyze the data of the historically produced fluent bars, and accurately determine the qualified range of the production data of the fluent bars, so as to improve the supervision of the fluent bars, effectively and accurately judge the product performance of the fluent bars, and improve the production quality of the fluent bars. The data analysis process is as follows:
将历史生产的流利条标记为完工流利条，设置标号i，i为大于1的自然数，采集到完工流利条的故障次数和使用频率，若完工流利条的故障次数未超过故障次数阈值且使用频率超过使用频率阈值，则将对应完工流利条标记为合格流利条；若完工流利条的故障次数超过故障次数阈值且使用频率未超过使用频率阈值，则将对应完工流利条标记为不合格流利条；Mark the historically produced fluent bars as completed fluent bars, set the label i, where i is a natural number greater than 1, and collect the number of failures and usage frequency of the completed fluent bars, if the number of failures of the completed fluent bars does not exceed the threshold of the number of failures and the frequency of use If the usage frequency threshold is exceeded, the corresponding completed fluent bar will be marked as a qualified fluent bar; if the number of failures of the completed fluent bar exceeds the failure count threshold and the frequency of use does not exceed the usage frequency threshold, the corresponding completed fluent bar will be marked as an unqualified fluent bar;
将合格流利条进行分析，获取到合格流利条的环境数据和设备数据，环境数据包括环境温度和环境湿度，设备数据包括设备运行时长和设备运行频率，采集到合格流利条生产过程的环境数据和设备数据，将环境数据内环境温度和环境湿度进行数值统计，将环境温度最高数值和环境温度最低数值进行采集，通过环境温度最高数值和温度最低数值获取到环境温度区间；将环境湿度最高数值和环境湿度最低数值进行采集，通过环境湿度最高数值和湿度最低数值获取到环境湿度区间；Analyze the qualified fluent strips to obtain the environmental data and equipment data of the qualified fluent strips. The environmental data includes ambient temperature and environmental humidity, and the equipment data includes the equipment running time and equipment operating frequency. The environmental data and equipment data of the production process of the qualified fluent strips are collected. Device data, carry out numerical statistics on the ambient temperature and ambient humidity in the environmental data, collect the highest value of the ambient temperature and the lowest value of the ambient temperature, and obtain the ambient temperature range through the highest value of the ambient temperature and the lowest value of the temperature; The lowest value of ambient humidity is collected, and the ambient humidity interval is obtained through the highest value of ambient humidity and the lowest value of humidity;
将设备数据内设备运行时长和设备运行频率进行数值统计，将设备运行时长最高数值和设备运行时长最低数值进行采集，通过设备运行时长最高数值和设备运行时长最低数值获取到设备运行时长区间；将设备运行频率的最高数值和设备运行频率最低数值进行采集，通过设备运行频率的最高数值和设备运行频率最低数值获取到设备运行频率区间；Perform numerical statistics on the equipment operating time and equipment operating frequency in the equipment data, collect the highest value of the equipment operating time and the lowest value of the equipment operating time, and obtain the equipment operating time interval through the highest value of the equipment operating time and the lowest value of the equipment operating time; The highest value of the equipment operating frequency and the lowest value of the equipment operating frequency are collected, and the equipment operating frequency interval is obtained through the highest value of the equipment operating frequency and the lowest value of the equipment operating frequency;
将合格流利条的环境温度区间、环境湿度区间、设备运行时长区间以及设备运行频率区间进行储存；Store the ambient temperature interval, ambient humidity interval, equipment operating time interval and equipment operating frequency interval of the qualified fluent strip;
步骤二对不合格流利条进行异常特征分析，对出现故障的流利条进行分析，分析出流利条的异常特征，从而对流利条故障的影响程度进行合理把控，提高了故障流利条的整改及时性，同时有效预防流利条故障的发生，降低流利条的故障率，具体异常特征分析过程如下：Step 2: Analyze the abnormal characteristics of the unqualified fluent strips, analyze the faulty fluent strips, and analyze the abnormal characteristics of the fluent strips, so as to reasonably control the degree of influence of the faulty fluent strips, and improve the timely rectification of the faulty fluent strips. At the same time, it can effectively prevent the occurrence of fluent bar failures and reduce the failure rate of fluent bars. The specific abnormal feature analysis process is as follows:
将历史不合格流利条标记为特征分析对象，采集到特征分析对象的故障特征，本申请汇中故障特征表示为流利条出现故障时的异常、卡顿等相关故障；将特征分析对象的故障特征设置标号o，o为大于1的自然数；采集到特征分析对象的故障特征出现频率以及维护总耗时长，并将特征分析对象的故障特征出现频率以及维护总耗时长分别标记为PLo和SCo；采集到特征分析对象的故障特征出现频率的增长速度，并将特征分析对象的故障特征出现频率的增长速度标记为SDo；Mark the historically unqualified fluent bar as the feature analysis object, and collect the fault features of the feature analysis object. The fault features in this application are expressed as abnormal, stuck and other related faults when the fluent bar fails; the fault characteristics of the feature analysis object are Set the label o, where o is a natural number greater than 1; collect the frequency of occurrence of fault features of the feature analysis object and the total maintenance time, and mark the frequency of occurrence of fault features and the total maintenance time of the feature analysis object as PLo and SCo respectively; The growth rate of the occurrence frequency of the fault feature of the feature analysis object, and the growth rate of the occurrence frequency of the fault feature of the feature analysis object is marked as SDo;
通过公式
将故障特征的分析系数与分析系数阈值进行比较：Compare the analysis coefficients of the fault signature with the analysis coefficient thresholds:
若故障特征的分析系数超过分析系数阈值，则将对应故障特征标记为主要故障特征；若故障特征的分析系数未超过分析系数阈值，则将对应故障特征标记为次要故障特征；If the analysis coefficient of the fault feature exceeds the analysis coefficient threshold, the corresponding fault feature will be marked as the main fault feature; if the analysis coefficient of the fault feature does not exceed the analysis coefficient threshold, the corresponding fault feature will be marked as the secondary fault feature;
将主要故障特征进行实时更新并储存，若流利条在生产过程中出现主要故障特征，则立即对流利条的生产线进行整顿；The main fault characteristics are updated and stored in real time. If the main fault characteristics of the fluent strip appear in the production process, the production line of the fluent strip will be rectified immediately;
步骤三中对历史不合格流利条的主要故障特征进行影响因素分析，判断主要故障特征的影响因素，从而控制主要故障特征带来的影响，同时能够控制影响因素对主要故障特征的影响，提高了流利条生产效率的同时能够减少流利条的故障频率，具体影响因素分析过程如下：In step 3, the influence factors of the main fault characteristics of the historically unqualified fluent strips are analyzed, and the influence factors of the main fault characteristics are judged, so as to control the influence of the main fault characteristics, and at the same time, the influence of the influence factors on the main fault characteristics can be controlled, which improves the performance. The production efficiency of the fluent strip can also reduce the failure frequency of the fluent strip. The specific influencing factor analysis process is as follows:
设置影响因素采集时间段，且历史不合格流利条的主要故障特征出现时刻为影响因素采集时间段中间时刻；主要故障特征出现时刻将影响因素采集时间段划分为前部时间段和后部时间段；采集到流利条生产的数值数据，并数值数据进行分析，数值数据表示为流利条生产过程中相关数值数据，如环境数据和设备数据等生产相关数据；Set the time period for the collection of influencing factors, and the time when the main fault features of the historically unqualified fluent bars appear is the middle time of the time period for the collection of influencing factors; when the main fault features appear, the time period for the collection of influencing factors is divided into the front time period and the back time period ; Collect the numerical data produced by the fluent strip, and analyze the numerical data. The numerical data is expressed as the relevant numerical data in the production process of the fluent strip, such as environmental data and equipment data and other production-related data;
采集到前部时间段内数值数据的浮动值，若数值数据的浮动值超过对应浮动值阈值，则将对应数值数据标记为导致影响因素；若数值数据的浮动值未超过对应浮动值阈值，则将对应数值数据标记为无关影响因素；采集到后部时间段内数值数据的浮动值，若数值数据的浮动值由未超过对应浮动值阈值转变为超过对应浮动值阈值，则将对应数据数值标记为因变影响因素；若数值数据的浮动值未超过对应浮动值阈值且浮动幅度未超过对应浮动幅度阈值，则将对应数值数据表示为无关影响因素；The floating value of the numerical data in the previous time period is collected. If the floating value of the numerical data exceeds the corresponding floating value threshold, the corresponding numerical data will be marked as a contributing factor; if the floating value of the numerical data does not exceed the corresponding floating value threshold, then Mark the corresponding numerical data as irrelevant influencing factors; if the floating value of the numerical data in the later time period is collected, if the floating value of the numerical data changes from not exceeding the corresponding floating value threshold to exceeding the corresponding floating value threshold, then mark the corresponding data numerical value is a variable influencing factor; if the floating value of the numerical data does not exceed the corresponding floating value threshold and the floating range does not exceed the corresponding floating range threshold, the corresponding numerical data will be expressed as an irrelevant influencing factor;
将导致影响因素和因变影响因素进行保存，在未出现主要故障特征时对导致影响因素进行实时监控，在出现主要故障特征时对因变应吸纳过因素进行及时整顿控制；Save the influencing factors and the influencing factors due to changes, monitor the influencing factors in real time when the main fault characteristics do not appear, and rectify and control the factors that have been absorbed due to changes in time when the main fault characteristics appear;
步骤四中对实时完成生产的流利条进行质量分析检测，对流利条生产质量把控的同时，能够判断数据分析是否监测合格，防止出现分析步骤异常导致流利条的质量监测效率降低，从而增加了流利条出现故障的风险，具体实时检测过程如下：In step 4, the quality analysis and detection of the fluent strips that have been produced in real time is carried out. While the production quality of the fluent strips is controlled, it can be judged whether the data analysis is qualified for monitoring, so as to prevent the abnormality of the analysis steps from reducing the quality monitoring efficiency of the fluent strips, thereby increasing the efficiency of the quality monitoring of the fluent strips. The risk of failure of the fluent strip, the specific real-time detection process is as follows:
将实时完成生存的流利条标记为实时检测流利条，采集到实时检测流利条的抽检合格率以及频繁使用的最长合格时长，并将实时检测流利条的抽检合格率以及频繁使用的最长合格时长分别与合格率阈值和合格时长阈值进行比较：Mark the real-time survival fluent strips as real-time detection fluent strips, collect the sampling pass rate of real-time detection fluency strips and the longest qualified duration of frequent use, and record the sampling pass rate of real-time detection fluency strips and the longest qualified time of frequent use. The duration is compared with the pass rate threshold and pass duration threshold, respectively:
若实时检测流利条的抽检合格率超过合格率阈值，且频繁使用的最长合格时长超过合格时长阈值，则判定对应实时检测流利条质量合格，并将其标记为实时合格流利条；若实时检测流利条的抽检合格率未超过合格率阈值，或者频繁使用的最长合格时长未超过合格时长阈值，则判定对应实时检测流利条质量不合格，并将其标记为实时不合格流利条。If the sampling pass rate of the real-time detection fluency bar exceeds the pass rate threshold, and the longest qualified duration of frequent use exceeds the pass duration threshold, the corresponding real-time detection fluency bar is judged to be qualified in quality, and it is marked as a real-time qualified fluency bar; If the sampling pass rate of the fluency bar does not exceed the pass rate threshold, or the longest qualified duration of frequent use does not exceed the pass duration threshold, it is determined that the quality of the corresponding real-time detection fluency bar is unqualified, and it is marked as a real-time unqualified fluency bar.
上述公式均是采集大量数据进行软件模拟得出且选取与真实值接近的一个公式，公式中的系数是由本领域技术人员根据实际情况进行设置；The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the real value, and the coefficients in the formula are set by those skilled in the art according to the actual situation;
本发明在使用时，历史数据分析，通过对历史生产的流利条进行数据分析，判断流利条生产数据的合格区间，从而提高对流利条的监管，有效且准确判断流利条的产品性能，提高流利条的生产质量；异常特征分析，对出现故障的流利条进行分析，判断流利条的异常特征；分析出流利条的异常特征，从而对流利条故障的影响程度进行合理把控，提高了故障流利条的整改及时性，同时有效预防流利条故障的发生，降低流利条的故障率；影响因素分析，根据流利条的异常特征获取到流利条的影响因素，从而对流利条异常进行预测，判断主要故障特征的影响因素，从而控制主要故障特征带来的影响，同时能够控制影响因素对主要故障特征的影响，提高了流利条生产效率的同时能够减少流利条的故障频率；实时检测，对实时完成生产的流利条进行质量分析检测，对流利条生产质量把控的同时，能够判断数据分析是否监测合格，防止出现分析步骤异常导致流利条的质量监测效率降低，从而增加了流利条出现故障的风险。When the present invention is in use, historical data analysis, through the data analysis of historically produced fluent bars, judges the qualified interval of fluent bars production data, thereby improving the supervision of fluent bars, effectively and accurately judging the product performance of fluent bars, and improving fluent The production quality of the strips; abnormal feature analysis, analyze the faulty fluent strips, and judge the abnormal characteristics of the fluent strips; analyze the abnormal characteristics of the fluent strips, so as to reasonably control the degree of influence of the faults of the fluent strips, and improve the fault fluency. The timeliness of the rectification of the fluent bar, and at the same time effectively prevent the occurrence of the fluent bar failure, reduce the failure rate of the fluent bar; analyze the influencing factors, obtain the influencing factors of the fluent bar according to the abnormal characteristics of the fluent bar, so as to predict the abnormality of the fluent bar and judge the main Influencing factors of fault characteristics, so as to control the influence of main fault characteristics, and at the same time, it can control the influence of influencing factors on main fault characteristics, improve the production efficiency of fluent strips and reduce the frequency of faults of fluent strips; real-time detection, real-time completion of The quality analysis and testing of the produced fluent strips, while controlling the production quality of fluent strips, can judge whether the data analysis is qualified or not, so as to prevent abnormal analysis steps from reducing the quality monitoring efficiency of fluent strips, thereby increasing the risk of failure of fluent strips .
以上公开的本发明优选实施例只是用于帮助阐述本发明。优选实施例并没有详尽叙述所有的细节，也不限制该发明仅为的具体实施方式。显然，根据本说明书的内容，可作很多的修改和变化。本说明书选取并具体描述这些实施例，是为了更好地解释本发明的原理和实际应用，从而使所属技术领域技术人员能很好地理解和利用本发明。本发明仅受权利要求书及其全部范围和等效物的限制。The above-disclosed preferred embodiments of the present invention are provided only to help illustrate the present invention. The preferred embodiments do not describe all the details and do not limit the invention to specific embodiments only. Obviously, many modifications and variations are possible in light of the content of this specification. The present specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is to be limited only by the claims and their full scope and equivalents.
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