Metal button and electric leakage test method thereof

Abstract

The invention relates to the technical field of metal button detection, in particular to a metal button and an electric leakage test method thereof. According to the method, electric leakage possible indexes are obtained by combining similar combination of current change conditions and change trends of electric leakage generated by pressing in different environment experiment combinations, and the reachable number of electric leakage of the environment experiment groups is determined through size distribution; obtaining an electric leakage correlation index through the correlation between the parameter value change of the environment type and the reachable number of times of electric leakage, and obtaining an analysis performance index through the influence of different parameter values of the environment experiment group on the electric leakage correlation index; and according to the analysis performance index of the environment experiment group, the parameter value of the environment type and the electric leakage reachable frequency, constructing an electric leakage frequency prediction model to carry out electric leakage prediction analysis on the current metal button. The electric leakage influence degree of the metal button in different environments is analyzed in advance, the electric leakage early warning timeliness during operation of the metal button is improved, the electric leakage treatment of the metal button is more efficient, and the use safety of the metal button is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of metal button detection, and in particular to a metal button and a leakage test method thereof. Background Art

[0002] Metal buttons are widely used in various industrial and consumer equipment. As part of the control switch, they involve many fields such as mechanical equipment, electronic products, and industrial control systems. During use, these buttons must not only meet the requirements of long-term mechanical pressing, but also ensure good electrical performance and safety. However, the use environment of metal buttons is often complex and changeable, and may be affected by external factors such as different temperatures and humidity, dust, salt spray, and oil pollution. Under these harsh environmental conditions, metal buttons will leak electricity more quickly and are more likely to cause equipment failures or safety accidents. Therefore, how to effectively evaluate the electrical safety and service life of metal buttons is a matter of great concern to major manufacturers and users.

[0003] The leakage test of metal buttons usually tests the electrical and mechanical properties of buttons, such as a fixed number of mechanical pressing life tests and electrical insulation performance tests. Metal buttons will accelerate the use and damage of components under the influence of harsh environments. Different environmental conditions have different effects on the performance of metal buttons. When the leakage test analysis of metal buttons due to environmental influences is inaccurate, it will cause delays in the leakage treatment of metal buttons, which is more likely to cause safety problems. Summary of the invention

[0004] In order to solve the technical problem of inaccurate test analysis of leakage of metal buttons due to environmental influence in the prior art, the purpose of the present invention is to provide a metal button and a leakage test method thereof. The technical solution adopted is as follows: The present invention provides a leakage test method for a metal button, the method comprising: Obtain the total number of times the sample metal button is pressed in each environmental test group, and collect the current change sequence during each pressing process; different environmental test groups have different parameter values ​​in each environmental type; environmental types include temperature, humidity, and dust content; Under each environmental experiment group, the possible leakage index of each pressing process is obtained according to the data distribution of the current change sequence of each pressing process and the difference in time sequence between the current change sequences of other local pressing processes; the number of leakage-prone times of each environmental experiment group is obtained according to the size distribution of the possible leakage index of all pressing processes in each environmental experiment group; According to the change correlation between the parameter values ​​of each environment type in different environmental experimental groups and the corresponding leakage current reachable times, the leakage current correlation index of each environment type is obtained; according to the influence of the parameter values ​​in each environmental experimental group on the numerical value of the leakage current correlation index corresponding to the environment type, the analysis performance index of each environmental experimental group is obtained; Based on the analysis performance indicators of the environmental experiment group, the parameter values ​​of the environmental type, and the number of times leakage can be reached, a leakage frequency prediction model is constructed; Based on the parameter values ​​of the current operating environment type of the metal button and the leakage frequency prediction model, combined with the current usage times, the leakage analysis result of the current metal button is obtained.

[0005] Furthermore, the method for obtaining the possible leakage indicator includes: For any pressing process, the maximum value in the current change sequence of the pressing process is taken as the distribution extreme value of the pressing process; The pressing process that is a preset number of times before the pressing process in time sequence is regarded as a local pressing process of the pressing process; the Pearson correlation coefficient of the current change sequence between the pressing process and each local pressing process is calculated as the change correlation between the pressing process and each local pressing process; Negative correlation mapping is performed between the pressing process and the mean of the change correlation of all local pressing processes to obtain the correlation difference of the pressing process; The possible leakage index of the pressing process is obtained by combining the distribution extreme value and the related difference of the pressing process.

[0006] Furthermore, the method for obtaining the leakage current reachable times includes: For any environmental experiment group, when the leakage possible index of the pressing process in the environmental experiment group is greater than or equal to the preset leakage threshold, the corresponding pressing process is recorded as leakage pressing; the total number of pressing processes before the first leakage pressing in the time sequence of the environmental experiment group is taken as the leakage reachable number of the environmental experiment group; When there is no leakage possible indicator greater than the preset leakage threshold in the environmental experiment group, the total number of pressing times is used as the leakage reachable number of times for the environmental experiment group.

[0007] Furthermore, the method for obtaining the leakage-related index includes: For any environment type, all parameter values ​​of the environment type are sorted from small to large to obtain the parameter change sequence of the environment type; Different numerical combinations of parameter values ​​of all other environment types except the environment type are used as different external environment combinations of the environment type; each external environment combination contains a parameter value of each other environment type except the environment type; Under each external environment combination, the leakage current reachable times of the environmental experiment group corresponding to the parameter change sequence of the environment type are arranged to obtain the leakage current number sequence of the environment type; the Pearson correlation coefficient between the parameter change sequence and the leakage current number sequence of the environment type is calculated to obtain the correlation change degree of the environment type under each external environment combination; The average value of the correlation variation of the environment type under all external environment combinations is used as the leakage correlation index of the environment type.

[0008] Furthermore, the method for obtaining the analysis performance indicator includes: For any environmental experimental group, each environmental type in the environmental experimental group is taken as the analysis type in turn; The parameter value of the analysis type is removed from the parameter change sequence, and the leakage correlation index of the analysis type of the environmental experiment group is updated and obtained as the impact correlation index of the analysis type of the environmental experiment group; Normalize the difference between the leakage correlation index of the analysis type and the impact correlation index of the analysis type of the environmental experiment group to serve as the characterization degree of the analysis type of the environmental experiment group; The characterization degrees of all environmental types of the environmental experimental group are combined to obtain the analytical performance index of the environmental experimental group.

[0009] Furthermore, the method for obtaining the leakage frequency prediction model includes: Through regression analysis, multiple linear regression was used to build the initial leakage times prediction model, the independent variable was the parameter value of each environmental experimental group, and the dependent variable was the leakage times. The difference of the objective function in the regression analysis is weighted by the analysis performance index of the environmental experiment group to obtain the adjusted objective function; the parameters of the initial leakage number prediction model are determined based on the adjusted objective function to obtain the leakage number prediction model.

[0010] Furthermore, the parameter value based on the current operating environment type of the metal button and the leakage frequency prediction model, combined with the current usage times, obtains the leakage analysis result of the current metal button, including: Get the number of times the current metal button is pressed at the current moment, as well as the parameter value of each environment type during each press; According to the parameter value of the environment type at each press, the leakage prediction number at each press is obtained through the leakage prediction model; the average of the leakage prediction number of all presses of the current metal button is calculated as the leakage warning number of the current metal button; When the difference between the number of leakage warning times and the number of pressing times is less than the preset warning threshold, a leakage warning is issued.

[0011] Furthermore, the combining of the distribution extreme value and the related difference degree of the pressing process to obtain the possible leakage indicator of the pressing process includes: The product of the distribution extreme value and the related difference degree of the pressing process is normalized to obtain a possible leakage index of the pressing process.

[0012] Furthermore, the characterization degree of all environmental types in the environmental experiment group is combined to obtain the analysis performance index of the environmental experiment group, including: The mean values ​​of the representation degrees of all environmental types in the environmental experimental group are negatively correlated to obtain the analytical performance index of the environmental experimental group.

[0013] The present invention also provides a metal button, comprising a metal button body and a leakage warning module, wherein the leakage warning module comprises a collection unit, an analysis unit and a warning unit; The signal output end of the acquisition unit is connected to the signal input end of the analysis unit, and the signal output end of the analysis unit is connected to the signal input end of the early warning unit; the early warning unit is used for alarming; The acquisition unit is used to obtain the number of times the metal button has been pressed at the current moment, and the parameter values ​​of all environmental types at each press; The data is transmitted to the analysis unit, and the analysis unit obtains the leakage analysis result of the current metal button based on the parameter value of the environment type in which the current metal button is running and the leakage frequency prediction model, combined with the number of times used at the current moment; An alarm is issued through the early warning unit based on the leakage analysis results.

[0014] The present invention has the following beneficial effects: The present invention combines combined experiments of different environmental types, analyzes the influence of pressing leakage on metal buttons from a variety of extreme tests, and when determining the number of times leakage occurs, the current change and change trend of pressing leakage are combined to reduce the misjudgment influence of static electricity to obtain a possible leakage index, and further determines the number of times leakage can be achieved in each environmental experimental group to characterize the speed of leakage generation, so as to analyze the influence of metal buttons in the subsequent combination with environmental condition changes through the speed of leakage occurrence in the use of buttons under each experiment. Through the correlation between the change of a single environmental type and the number of times leakage can be achieved, the correlation influence generated by a single environmental type is analyzed. Since the subsequent prediction analysis is based on the combination of different environmental conditions of the experimental group, the analysis performance index is obtained from the influence of different parameter values ​​of each environmental experimental group on the correlation analysis, reflecting the expression advantages and disadvantages of each environmental experimental group in the leakage correlation analysis, and the subsequent leakage number prediction model is corrected and adjusted to improve the prediction accuracy of the leakage number prediction model through the parameter value of the environmental type, and the current metal button is subjected to leakage analysis. The present invention pre-analyzes the influence degree of leakage of metal buttons under different environments, improves the timeliness of leakage warning when the metal buttons are running, makes the leakage treatment of the metal buttons more efficient, and ensures the safe use of the metal buttons. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A flow chart of a leakage test method for a metal button provided by an embodiment of the present invention; Figure 2 A flow chart of a method for obtaining a possible leakage indicator provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the metal button and its leakage test method proposed by the present invention, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] The specific scheme of a metal button and a leakage test method thereof provided by the present invention is described in detail below with reference to the accompanying drawings.

[0020] The present invention provides a metal button, comprising a metal button body and a leakage warning module, wherein the leakage warning module is used to perform a warning analysis of a possible leakage situation according to the use of the metal button, and the leakage warning module comprises a collection unit, an analysis unit and a warning unit. The collection unit is used for data collection and is connected to the analysis unit, and the analysis unit is used for data analysis and processing. The chip type is FPGA, which receives data information from the collection unit and analyzes the leakage analysis result.

[0021] The analysis unit predicts leakage by combining the parameter values ​​of the environment type in which the metal button is operated and the leakage times prediction model with the times of use. The leakage times prediction model is the result of leakage test analysis of the corresponding metal button under the preset environmental parameters. Figure 1 , which shows a flow chart of a leakage test method for a metal button provided by an embodiment of the present invention, the method comprising the following steps: S1: Obtain the total number of times the sample metal button is pressed in each environmental experiment group, and collect the current change sequence during each pressing process; different environmental experiment groups have different parameter values ​​in each environmental type; environmental types include temperature, humidity and dust content.

[0022] When performing a leakage test on a metal button using the current method, that is, the leakage current test method, power on the button and keep it in normal working condition. Then, set the multimeter to the milliampere (mA) current measurement mode, connect one probe to the metal casing of the button, and the other probe to the ground terminal. By observing the changes in the multimeter's readings, the leakage of the metal button can be observed.

[0023] Considering the usage of metal buttons, that is, the number of times they are pressed, and the differences in different environments, multiple experimental groups are set up for testing and analysis. Considering dust or dust pollution, the harmfulness of dust generated during the production process is relatively high. When dust enters the inside of the button, due to the charge and water absorption of the dust particles, it is easy for the dust to condense and settle around the electrical equipment, thereby destroying the insulation strength of the electrical equipment, easily causing electrical breakdown and short circuit accidents, and leading to leakage of the metal button.

[0024] Therefore, the environmental types of the environmental experiment group set up include temperature, humidity and dust content. In the embodiment of the present invention, dust is blown by a fan in the test box to simulate the dust deposition in reality, ensuring that the dust can be evenly attached to the button surface and can enter the internal gap. The dust content ranges from 5mg / m³ to 50mg / m³ per cubic meter, and a group of experiments is set for every increase of 5mg / m³. The environmental temperature range is between 10℃ and 50℃, and a group of experiments is set for every 10℃. The relative humidity of the air ranges from 10% to 90%, and a group of experiments is set for every 20%. It should be noted that each environmental experiment group includes all environmental types, that is, an environmental temperature, relative humidity and dust content are set for each environmental experiment group. The value set for each environmental type is the parameter value. The condition setting of the specific environmental experiment group can be adjusted by the implementer according to the specific implementation situation, and there is no restriction here.

[0025] Under different environmental experimental groups, the sample metal button is repeatedly pressed by an electric push rod, and as the pressing process continues, the current reading value of the multimeter during the pressing process is detected in real time. In the embodiment of the present invention, the sampling frequency of the current data is , and obtain the current change sequence of each pressing process. The specific value can be adjusted by the implementer.

[0026] And considering that the metal button is limited by the life of its own mechanical structure during the test, when the button is switched a certain number of times, it will cause fatigue damage to the internal mechanical structure and stop pressing. At this time, the total number of times each metal button is pressed is obtained as the total number of presses.

[0027] At this point, the experimental results under different environmental experimental groups are obtained for analysis.

[0028] S2: Under each environmental experiment group, according to the data distribution of the current change sequence of each pressing process and the difference in time sequence between the current change sequences of other local pressing processes, the possible leakage index of each pressing process is obtained; according to the size distribution of the possible leakage index of all pressing processes in each environmental experiment group, the number of leakage times of each environmental experiment group is obtained.

[0029] As the electric push rod continues to press the metal button, the distribution position of the internal components of the metal button may change due to wear and tear. When the number of presses increases, as some components age, a new conductive path may be formed inside the button under a certain press, causing leakage.

[0030] Taking into account that in different environmental experimental groups, some experiments will be in a relatively dry environment, especially when the temperature is high or the air humidity is low, static electricity is easy to accumulate on the surface of the metal button, which will cause the static electricity to be released instantly when the electric push rod squeezes and touches the button at some times, generating a short current peak, making the current reading of the shell instantly larger, which is similar to the current peak generated during leakage. However, the situation at this time is not caused by button leakage. Therefore, considering that a new conductive path is generated due to leakage, the overall fluctuation of the current will change significantly. Therefore, combined with the degree of current data and the difference in changes with other pressing processes, the leakage possibility of each pressing process is analyzed.

[0031] Preferably, in the embodiment of the present invention, the method for obtaining the possible leakage indicator can be found in Figure 2 , which shows a flow chart of a method for obtaining a possible leakage indicator provided by an embodiment of the present invention, the method comprising the following steps: S201: For any pressing process, obtain the distribution extreme value of the pressing process.

[0032] In the case of leakage, the current data will undergo a significant increase. Therefore, the higher the distribution extreme value of the current data, the more likely the metal button is to have leakage. In an embodiment of the present invention, the maximum value in the current change sequence of the pressing process is used as the distribution extreme value of the pressing process.

[0033] S202: Obtaining a relevant difference degree of the pressing process according to a difference degree of current change between the pressing process and other previous pressing processes.

[0034] In the case of electrostatic release with significant current changes, since the pressing process is still normal pressing, the overall current change trend is still within the normal range and will not produce a large abnormal distinction. In the case of leakage, the current will change significantly relative to the stable distribution of the normal situation, the instability of the current will increase, and more fluctuations will occur. The change trend is highly different from that of normal pressing. Therefore, through the trend difference analysis between the pressing process and other previous pressings, the leakage situation is further analyzed to obtain the relevant difference degree.

[0035] In an embodiment of the present invention, a method for obtaining the relevant difference includes: First, the pressing process that is a preset number of times before the pressing process in the time sequence is used as the local pressing process of the pressing process, and the number of pressing processes corresponding to the preceding sequence participating in the analysis is determined. In a specific implementation method of the embodiment of the present invention, the preset number is set to 10, and the specific value can be adjusted by the implementer, and is not limited here.

[0036] The Pearson correlation coefficient of the current change sequence between the pressing process and each local pressing process is further calculated as the change correlation between the pressing process and each local pressing process. The Pearson correlation coefficient can reflect the degree of correlation change between the two sequences. The larger the Pearson correlation coefficient, that is, the larger the change correlation, the more consistent the current change sequence between the pressing process and each local pressing process. It should be noted that the Pearson correlation coefficient is a technical means well known to those skilled in the art and will not be elaborated here.

[0037] Finally, the pressing process is negatively correlated with the mean of the correlation between the changes in all local pressing processes to obtain the correlation difference of the pressing process, combined with the correlation between all local pressing processes. The smaller the correlation, the more obvious the difference. Therefore, the correlation difference is obtained by combining all local pressing processes with the mean and sampling the negative correlation mapping. The greater the correlation difference, the higher the difference between the pressing process and other previous pressing processes, and the greater the leakage. It should be noted that negative correlation mapping is a technical means well known to those skilled in the art, and can be in the form of inverse proportion or negative exponential power, which is not limited or elaborated here.

[0038] S203: Combining the distribution extreme value and the related difference degree of the pressing process, obtaining a possible leakage indicator of the pressing process.

[0039] The current change value of each press and the difference from the previous change can comprehensively reflect the possibility of leakage in each press process, and avoid the misjudgment influence of similar electrostatic release while screening out leakage situations. In an embodiment of the present invention, the product of the distribution extreme value and the related difference of the press process is normalized to obtain the leakage possibility index of the press process. The larger the distribution extreme value and the related difference, the more significant the increase in current during the press process and the more inconsistent the change trend with the previous press, the higher the possibility of leakage, and therefore the larger the leakage possibility index.

[0040] As an example, the expression for a possible indicator of leakage current is: ; In the formula, Expressed as A possible indicator of leakage during the pressing process, Expressed as The distribution extreme value of the pressing process, Expressed as a preset quantity, Expressed as The first pressing process and the The correlation of the changes in the local pressing process, is expressed as an exponential function with a natural constant as base, Expressed as The relative difference of the pressing process, It is expressed as a normalization function. It should be noted that normalization is a technical means well known to those skilled in the art. The normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0041] When the leakage potential index is high, it means that leakage occurs when pressing. The first leakage in each experiment is used as the number of times the metal button generates leakage, which also represents the speed of leakage. In addition, there may be no leakage in some experiments, which means that the environmental impact is small and the metal button can reach the number of times of mechanical strain life. Therefore, the size of the leakage potential index in each environmental experiment group is used to calculate the number of times each environmental experiment group stops when leakage occurs.

[0042] Preferably, in an embodiment of the present invention, a method for obtaining the leakage current reachable times includes: For any environmental experiment group, when there is a leakage potential index of the pressing process in the environmental experiment group that is greater than or equal to the preset leakage threshold, it indicates that the pressing process may generate leakage, and the corresponding pressing process is recorded as leakage pressing. In a specific implementation of the embodiment of the present invention, the preset leakage threshold is 0.8, and the specific value can be adjusted by the implementer according to the implementation scenario, and is not limited here.

[0043] Since there may be multiple leakage presses in the environmental experiment group, only the total number of presses before the first leakage press in the timing of the environmental experiment group is used as the leakage reachable number of the environmental experiment group. The smaller the leakage reachable number is, the fewer times it is used before the leakage occurs, and the leakage occurs faster.

[0044] When there is no leakage possibility indicator in the environmental experiment group and it is greater than the preset leakage threshold, it means that there is no leakage in the environmental experiment group. The total number of times of pressing and using is taken as the leakage reaching number of the environmental experiment group. In the leakage analysis, the button can be used until the mechanical strain situation occurs.

[0045] At this point, the analysis of how quickly the metal button leaks electricity has been completed.

[0046] S3: According to the change correlation between the parameter values ​​of each environment type in different environmental experimental groups and the corresponding leakage current reachable times, the leakage correlation index of each environment type is obtained; according to the influence of the parameter values ​​in each environmental experimental group on the numerical value of the leakage correlation index corresponding to the environment type, the analysis performance index of each environmental experimental group is obtained.

[0047] Under different environmental conditions, as the temperature rises, the insulating materials and seals inside the button are prone to thermal aging, and the resistance of the insulating materials inside the metal button will decrease. When the humidity increases, the moisture in the air will form tiny conductive paths on the surface and inside the metal button, and dust will accumulate on the surface or inside the button to form tiny conductive bridges. These reasons will cause the current to leak more easily, so the rate of leakage will accelerate with the increase of temperature, humidity and dust content.

[0048] In actual measurements, the degree of influence of different environments on leakage may vary, and the leakage phenomenon is greatly affected by random phenomena. For example, different dust contents will increase the probability of metal button leakage, but even under the same dust content, the number of presses that cause leakage due to other changes will also fluctuate greatly. Therefore, it is necessary to analyze the influence of various environmental factors on the leakage situation, so as to provide support for the subsequent combined analysis of environmental factors in different environmental experimental groups.

[0049] Preferably, in an embodiment of the present invention, the method for obtaining leakage-related indicators includes: First, for any environment type, all parameter values ​​of the environment type are sorted from small to large to obtain the parameter change sequence of the environment type. The sequential changes of the parameter values ​​are used to characterize the continuous trend changes of the environmental factors.

[0050] When analyzing a single environment type, it is necessary to ensure that the settings of other environment types remain unchanged. Therefore, different numerical combinations of parameter values ​​of all other environment types except this environment type are used as different external environment combinations of this environment type. There are many situations for the settings of other environment types because there are many situations for external environment combinations. Each external environment combination contains a parameter value for each other environment type except this environment type. For example, when the environment type analyzed is dust content, the external environment combination can be (temperature 20℃, humidity 20%), (temperature 20℃, humidity 30%) or (temperature 30℃, humidity 20%), etc.

[0051] Under each external environment combination, the relationship between the environment type and the speed of leakage can be analyzed separately, and the leakage times of the environmental experiment group corresponding to the parameter change sequence of the environment type can be arranged to obtain the leakage times sequence of the environment type. Under the environmental conditions of the determined external environment combination, each environmental experiment group can be corresponded according to each parameter value of the environment type in the parameter change sequence, and the leakage times can be arranged according to the corresponding environmental experiment group to obtain the leakage times sequence, which represents the leakage times sequence arranged in the order of the parameter values ​​of the environment type.

[0052] By calculating the Pearson correlation coefficient between the parameter change sequence and the leakage frequency sequence of the environment type, the correlation change degree of the environment type under each external environment combination is obtained. The relevant situation analysis is performed using the Pearson correlation coefficient. Since the increase in temperature, humidity and dust content will cause the leakage situation to occur faster, the smaller the correlation change degree, that is, the closer it is to -1, the more it conforms to the relevant situation.

[0053] The mean of the correlation change degree of the environment type under all external environment combinations is used as the leakage correlation index of the environment type. The correlation change analysis of the environment type is carried out under different external environment combinations to comprehensively reflect the degree of influence of this environment type and the leakage situation. The more consistent the correlation change degree under different external environment combinations is, the less the influence of the environment type is affected by other factors, and the more credible its correlation is. On the contrary, it means that it is greatly affected by other factors. Therefore, the correlation situation can be reflected by combining multiple correlation changes through the mean. The lower the overall leakage correlation index after the mean, the more consistent the correlation relationship between the environment situation and the speed of leakage is.

[0054] For each environmental experiment group, since each environmental experiment group participates in the construction of the leakage frequency prediction model, the correlation model between the environment and the frequency prediction is constructed. However, when there are abnormal data points, the abnormal data points are more affected by randomness than by environmental factors, which will reduce the credibility of the model analysis. Therefore, for each environmental experiment group, the influence of the parameter value on the leakage correlation index is analyzed to obtain the analysis performance index, which characterizes the expression effect of the parameter value in the environmental experiment group on the leakage, so that the subsequent analysis can adjust the influence of different environmental experiment groups through the analysis performance index to improve the accuracy.

[0055] Preferably, in an embodiment of the present invention, the method for obtaining the analysis performance indicator includes: First, for any environmental experiment group, each environment type in the environmental experiment group is taken as the analysis type in turn, and each environment type is analyzed. The parameter value of the analysis type is removed from the parameter change sequence, and the leakage correlation index of the analysis type of the environmental experiment group is updated as the influence correlation index of the analysis type of the environmental experiment group, that is, the parameter value of the environmental experiment group is removed, and the leakage correlation index analysis of the single environment type is re-performed. The new leakage correlation index obtained at this time can reflect the influence of the parameter value in the environmental experiment group on the correlation analysis through the degree of change of the new leakage correlation index.

[0056] Since the lower the correlation index is, the more it conforms to the correlation situation, the difference between the leakage correlation index of the analysis type and the impact correlation index of the analysis type of the environmental experiment group is normalized as the characterization degree of the analysis type of the environmental experiment group. That is, when the impact correlation index changes to a smaller value, that is, the larger the characterization degree is, the greater the deviation of the parameter value of the environmental experiment group on the correlation situation is, and the regret degree of the environmental experiment group needs to be reduced.

[0057] Finally, the characterization degree of all environmental types of the environmental experiment group is combined to obtain the analysis performance index of the environmental experiment group. In an embodiment of the present invention, the mean of the characterization degree of all environmental types of the environmental experiment group is negatively correlated to obtain the analysis performance index of the environmental experiment group. The characterization degree of all environmental types is combined. When the overall characterization degree is smaller, it means that the environmental experiment group is more credible for the leakage number analysis and the expression is better. Therefore, the larger the analysis performance index, the higher the proportion of credible analysis of the environmental experiment group in subsequent trustworthy analysis.

[0058] S4: Construct a leakage frequency prediction model based on the analysis performance indicators of the environmental experiment group, the parameter values ​​of the environmental type, and the leakage frequency.

[0059] Furthermore, through regression analysis, a prediction model for the number of times leakage current can be reached can be constructed based on the parameter values ​​of the environmental type, making the relationship between environmental factors and leakage current clearer. Regression analysis is a statistical analysis method that is mainly used to determine the quantitative relationship between two or more interdependent variables. Through regression analysis, we can understand the degree of influence of independent variables on dependent variables, predict the changing trend of dependent variables, and evaluate the prediction performance of the model. In the power system, regression analysis is used to construct a model of the influence of various influencing factors on equipment parameters to guide the status maintenance of equipment and judge the development trend of equipment abnormalities.

[0060] Preferably, in an embodiment of the present invention, a method for acquiring a leakage frequency prediction model includes: Through regression analysis, a multivariate linear regression is used to construct an initial leakage number prediction model, where the independent variable is the parameter value of each environmental experimental group and the dependent variable is the leakage number. As an example, the expression of the initial leakage number prediction model is: ; In the formula, The parameter value at temperature is , the parameter value of humidity is , the parameter value of dust content is The predicted value of the number of times leakage current can be reached under the condition of , , and are the parameters of the model to be solved.

[0061] The objective function is an important evaluation method in regression analysis, which is used to measure the difference between the model prediction value and the actual value, so as to guide the optimization and improvement of the model. The objective function is usually defined as the sum of the squares of the errors between the prediction value and the actual value, that is, the square of the difference between the predicted value and the leakage reachable number of times for each environmental experimental group, and the squared results of the differences of all environmental experimental groups are summed to obtain the objective function. The difference in the objective function in the regression analysis is weighted by the analytical performance index of the environmental experimental group to obtain an adjusted objective function. In an embodiment of the present invention, after the square of the difference between the predicted value and the leakage reachable number of times for each environmental experimental group, the squared results of the differences of all environmental experimental groups are weighted by the analytical performance index, that is, the analytical performance index is multiplied by the squared results of the differences and then summed to obtain the adjusted objective function.

[0062] The parameters of the initial leakage times prediction model are determined based on the adjustment objective function to obtain the leakage times prediction model. When the adjustment objective function is minimized, the parameters determined in the initial leakage times prediction model can be obtained, that is, the parameters determined when the adjustment objective function is minimized can be obtained. , , and It should be noted that the regression analysis process is a technical means well known to those skilled in the art. The embodiment of the present invention only improves the model evaluation result by adjusting the objective function to make the model more credible. The parameter determination can be solved by the gradient descent method, and the specific process will not be repeated here.

[0063] S5: Based on the parameter value of the environment type in which the current metal button operates and the leakage frequency prediction model, combined with the number of times used at the current moment, the leakage analysis result of the current metal button is obtained.

[0064] Through preliminary testing of sample metal buttons, the influence relationship between the environment and leakage is obtained. When the corresponding type of metal buttons are used, the number of times leakage may occur can be obtained through a leakage prediction model based on the operating environment of the metal buttons. This allows the metal buttons to be warned in advance and handle leakage when they are close to leakage, thereby ensuring safe use of the equipment.

[0065] Therefore, the current metal button can collect and obtain operating environment parameters and the number of times it is used, and obtain the leakage analysis result through the analysis unit. In an embodiment of the present invention, the method for obtaining the leakage analysis result of the current metal button includes: By obtaining the number of times the current metal button is pressed at the current moment and the parameter value of each environment type when it is pressed each time. Based on the parameter value of the environment type when it is pressed each time, the leakage prediction model is used to obtain the predicted number of times leakage occurs each time it is pressed, and the number of times leakage may occur under the influence of the environment is predicted and analyzed by the environmental conditions when it is used each time.

[0066] Taking into account the possible changes in the environment, the average of the predicted leakage times when the current metal button is pressed is calculated as the leakage warning times of the current metal button. Combined with the possible leakage times caused by the environmental conditions when all the current pressings are used, the possible leakage times of the metal button at the current moment are comprehensively obtained.

[0067] When the difference between the number of leakage warnings and the number of times the button is pressed is less than the preset warning threshold, it means that the number of times the metal button is currently used is close to the situation of leakage, and a leakage warning can be issued through the warning unit. In the embodiment of the present invention, the preset warning threshold is set to 100, and the specific value can be adjusted by the implementer, and is not limited here.

[0068] It should be noted that, in order to facilitate calculation, all indicator data involved in the calculation in the embodiment of the present invention are preprocessed to eliminate the dimension effect. The specific means of eliminating the dimension effect are technical means well known to those skilled in the art and are not limited here.

[0069] The present invention combines combined experiments of different environmental types, analyzes the influence of pressing leakage on metal buttons from a variety of extreme tests, and when determining the number of times leakage occurs, the current change and change trend of pressing leakage are combined to reduce the misjudgment influence of static electricity to obtain a possible leakage index, and further determines the number of times leakage can be achieved in each environmental experimental group to characterize the speed of leakage generation, so as to analyze the influence of metal buttons in the subsequent combination with environmental condition changes through the speed of leakage occurrence in the use of buttons under each experiment. Through the correlation between the change of a single environmental type and the number of times leakage can be achieved, the correlation influence generated by a single environmental type is analyzed. Since the subsequent prediction analysis is based on the combination of different environmental conditions of the experimental group, the analysis performance index is obtained from the influence of different parameter values ​​of each environmental experimental group on the correlation analysis, reflecting the expression advantages and disadvantages of each environmental experimental group in the leakage correlation analysis, and the subsequent leakage number prediction model is corrected and adjusted to improve the prediction accuracy of the leakage number prediction model through the parameter value of the environmental type, and the current metal button is subjected to leakage analysis. The present invention pre-analyzes the influence degree of leakage of metal buttons under different environments, improves the timeliness of leakage warning when the metal buttons are running, makes the leakage treatment of the metal buttons more efficient, and ensures the safe use of the metal buttons.

[0070] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0071] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A leakage test method for a metal button, characterized in that: The method comprises: Obtain the total number of times the sample metal button is pressed in each environmental test group, and collect the current change sequence during each pressing process; different environmental test groups have different parameter values ​​in each environmental type; environmental types include temperature, humidity, and dust content; Under each environmental experiment group, the possible leakage index of each pressing process is obtained according to the data distribution of the current change sequence of each pressing process and the difference in time sequence between the current change sequences of other local pressing processes; the number of leakage-prone times of each environmental experiment group is obtained according to the size distribution of the possible leakage index of all pressing processes in each environmental experiment group; According to the change correlation between the parameter values ​​of each environment type in different environmental experimental groups and the corresponding leakage current reachable times, the leakage current correlation index of each environment type is obtained; according to the influence of the parameter values ​​in each environmental experimental group on the numerical value of the leakage current correlation index corresponding to the environment type, the analysis performance index of each environmental experimental group is obtained; Based on the analysis performance indicators of the environmental experiment group, the parameter values ​​of the environmental type, and the number of times leakage can be reached, a leakage frequency prediction model is constructed; Based on the parameter values ​​of the current operating environment type of the metal button and the leakage frequency prediction model, combined with the current usage times, the leakage analysis result of the current metal button is obtained.

2. A leakage test method for a metal button according to claim 1, characterized in that: The method for obtaining the possible leakage indicator includes: For any pressing process, the maximum value in the current change sequence of the pressing process is taken as the distribution extreme value of the pressing process; The pressing process that is a preset number of times before the pressing process in time sequence is regarded as a local pressing process of the pressing process; the Pearson correlation coefficient of the current change sequence between the pressing process and each local pressing process is calculated as the change correlation between the pressing process and each local pressing process; Negative correlation mapping is performed between the pressing process and the mean of the change correlation of all local pressing processes to obtain the correlation difference of the pressing process; The possible leakage index of the pressing process is obtained by combining the distribution extreme value and the related difference of the pressing process.

3. The leakage test method of a metal button according to claim 1, characterized in that: The method for obtaining the leakage current reachable times includes: For any environmental experiment group, when the leakage possible index of the pressing process in the environmental experiment group is greater than or equal to the preset leakage threshold, the corresponding pressing process is recorded as leakage pressing; the total number of pressing processes before the first leakage pressing in the time sequence of the environmental experiment group is taken as the leakage reachable number of the environmental experiment group; When there is no leakage possible indicator greater than the preset leakage threshold in the environmental experiment group, the total number of pressing times is used as the leakage reachable number of times for the environmental experiment group.

4. The method for testing leakage current of a metal button according to claim 1, characterized in that: The method for obtaining the leakage-related index includes: For any environment type, all parameter values ​​of the environment type are sorted from small to large to obtain the parameter change sequence of the environment type; Different numerical combinations of parameter values ​​of all other environment types except the environment type are used as different external environment combinations of the environment type; each external environment combination contains a parameter value of each other environment type except the environment type; Under each external environment combination, the leakage current reachable times of the environmental experiment group corresponding to the parameter change sequence of the environment type are arranged to obtain the leakage current number sequence of the environment type; the Pearson correlation coefficient between the parameter change sequence and the leakage current number sequence of the environment type is calculated to obtain the correlation change degree of the environment type under each external environment combination; The average value of the correlation variation of the environment type under all external environment combinations is used as the leakage correlation index of the environment type.

5. A leakage test method for a metal button according to claim 4, characterized in that: The method for obtaining the analysis performance indicator includes: For any environmental experimental group, each environmental type in the environmental experimental group is taken as the analysis type in turn; The parameter value of the analysis type is removed from the parameter change sequence, and the leakage correlation index of the analysis type of the environmental experiment group is updated and obtained as the impact correlation index of the analysis type of the environmental experiment group; Normalize the difference between the leakage correlation index of the analysis type and the impact correlation index of the analysis type of the environmental experiment group to serve as the characterization degree of the analysis type of the environmental experiment group; The characterization degrees of all environmental types of the environmental experimental group are combined to obtain the analytical performance index of the environmental experimental group.

6. A leakage test method for a metal button according to claim 1, characterized in that: The method for obtaining the leakage frequency prediction model includes: Through regression analysis, multiple linear regression was used to build the initial leakage times prediction model, the independent variable was the parameter value of each environmental experimental group, and the dependent variable was the leakage times. The difference of the objective function in the regression analysis is weighted by the analysis performance index of the environmental experiment group to obtain the adjusted objective function; the parameters of the initial leakage number prediction model are determined based on the adjusted objective function to obtain the leakage number prediction model.

7. A leakage test method for a metal button according to claim 1, characterized in that: The parameter value based on the current operating environment type of the metal button and the leakage frequency prediction model, combined with the current usage times, obtains the leakage analysis result of the current metal button, including: Get the number of times the current metal button is pressed at the current moment, as well as the parameter value of each environment type during each press; According to the parameter value of the environment type at each press, the leakage prediction number at each press is obtained through the leakage prediction model; the average of the leakage prediction number of all presses of the current metal button is calculated as the leakage warning number of the current metal button; When the difference between the number of leakage warning times and the number of pressing times is less than the preset warning threshold, a leakage warning is issued.

8. A leakage test method for a metal button according to claim 2, characterized in that: The step of combining the distribution extreme value and the related difference of the pressing process to obtain the possible leakage index of the pressing process includes: The product of the distribution extreme value and the related difference degree of the pressing process is normalized to obtain a possible leakage index of the pressing process.

9. A leakage test method for a metal button according to claim 5, characterized in that: The characterization degree of all environmental types in the environmental experiment group is combined to obtain the analysis performance index of the environmental experiment group, including: The mean values ​​of the representation degrees of all environmental types in the environmental experimental group are negatively correlated to obtain the analytical performance index of the environmental experimental group.

10. A metal button, characterized in that: It includes a metal button body and a leakage warning module, wherein the leakage warning module includes a collection unit, an analysis unit and a warning unit; The signal output end of the acquisition unit is connected to the signal input end of the analysis unit, and the signal output end of the analysis unit is connected to the signal input end of the early warning unit; the early warning unit is used for alarming; The acquisition unit is used to obtain the number of times the metal button has been pressed at the current moment, and parameter values ​​of all environmental types at each press; The data is transmitted to the analysis unit, and the analysis unit obtains the leakage analysis result of the current metal button based on the parameter value of the environment type in which the current metal button is running and the leakage frequency prediction model, combined with the number of times used at the current moment; An alarm is issued through the early warning unit based on the leakage analysis results.

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