Fault judgment method and device for eliminating jump points of ring screen data, electronic equipment and storage medium
By identifying and removing jump points in ring screen data, the problem of mutation values affecting fault judgment in traditional methods is solved, and automated fault judgment is achieved, and efficiency and accuracy are improved.
Patent Information
- Application Number
- CN202510208410.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-25
- Publication Date
- 2025-06-10
AI Technical Summary
Traditional ring screen data processing methods may have mutations during data collection, which affects the judgment of the maximum and minimum values, resulting in low efficiency and poor accuracy of fault judgment.
By identifying and removing jump points in the ring screen data, the screened data can be obtained, so as to automatically determine whether there is a failure in the target product.
It realizes automated fault judgment, reduces manual data analysis and processing time, and improves the efficiency and accuracy of fault judgment.
Smart Images
Figure CN120121095A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field, and in particular, to a fault judgment method, device, electronic device, and storage medium for eliminating jump points in ring sieve data. Background Art
[0002] Ring sieve data is the data continuously collected when a product is working in an incubator with high and low temperature changes. By observing the characteristics of the ring sieve data, it can be preliminarily judged whether there is a fault in the product and what kind of fault exists.
[0003] Traditional ring sieve data processing methods draw conclusions by observing the maximum and minimum values of the ring sieve data and comparing the maximum and minimum values with the specified required values. Such methods have a defect that when the test equipment collects data, it may, for various reasons, cause the data collected at that time to be meaningless (abrupt values appear). Such abrupt values usually directly affect the maximum and minimum values of the entire set of ring sieve data, thus affecting the judgment of the tester. To eliminate the influence brought by such abrupt values, the tester needs to carefully check the original data and make a judgment, which greatly reduces the production efficiency. Summary of the Invention
[0004] The purpose of the embodiments of the present application is to provide a fault judgment method, device, electronic device, and storage medium for eliminating jump points in ring sieve data, which is used to automatically perform fault judgment, and thus can reduce the time for manual data analysis and processing to improve the fault judgment efficiency. On the other hand, the present application can improve the accuracy of fault judgment.
[0005] In a first aspect, the present invention provides a fault judgment method for eliminating jump points in ring sieve data, and the method includes:
[0006] Obtain the ring sieve data of the target product, where the ring sieve data of the target product is the data continuously collected when the target product is working in an incubator with high and low temperature changes;
[0007] Identify the jump points in the ring sieve data;
[0008] Eliminate the jump points in the ring sieve data to obtain the screened ring sieve data;
[0009] Determine whether there is a fault in the target product based on the screened ring sieve data.
[0010] In the first aspect of the present application, by obtaining the ring sieve data of the target product, where the ring sieve data of the target product is the data continuously collected when the target product is working in an incubator with high and low temperature changes, it is possible to identify the jump points in the ring sieve data, and then it is possible to eliminate the jump points in the ring sieve data to obtain the filtered ring sieve data. Furthermore, it is possible to determine whether the target product has a fault based on the filtered ring sieve data, and finally achieve automatic fault judgment, reducing the time for manual data analysis and processing to improve the fault judgment efficiency. On the other hand, by eliminating the jump points in the ring sieve data, the influence of the jump points on fault judgment can be excluded, and thus the accuracy of fault judgment can be improved.
[0011] In an alternative embodiment, the determining whether the target product has a fault based on the filtered ring sieve data includes:
[0012] Determining a maximum value and a minimum value based on the filtered ring sieve data, and determining whether the target product has a fault based on the maximum value and the minimum value.
[0013] This alternative embodiment can determine a maximum value and a minimum value based on the filtered ring sieve data, and determine whether the target product has a fault based on the maximum value and the minimum value.
[0014] In an alternative embodiment, the method further includes:
[0015] When a jump point in the ring sieve data is recognized, accumulating the number of jump points and the number of consecutive jump points;
[0016] Statistically analyzing the filtered ring sieve data based on a preset statistical index to obtain the value of the preset statistical index;
[0017] Generating a data summary table based on the value of the preset statistical index, the number of jump points, and the number of consecutive jump points;
[0018] Displaying the data summary table.
[0019] This alternative embodiment can, when a jump point in the ring sieve data is recognized, accumulate the number of jump points and the number of consecutive jump points, statistically analyze the filtered ring sieve data based on a preset statistical index to obtain the value of the preset statistical index, and then generate a data summary table based on the value of the preset statistical index, the number of jump points, and the number of consecutive jump points, so as to display the data summary table, thus simplifying the operation of presenting the data summary to the user.
[0020] In an alternative embodiment, the recognizing the jump points in the ring sieve data includes:
[0021] Convert the loop sieve data from time-series data to frequency-domain data based on the discrete Fourier transform, and obtain a spectrogram based on the frequency-domain data;
[0022] Determine the value of the target data item based on the spectrogram;
[0023] Compare the value of the target data item with a preset threshold and determine the comparison result;
[0024] Identify the jump point based on the comparison result.
[0025] This alternative embodiment can convert the loop sieve data from time-series data to frequency-domain data based on the discrete Fourier transform, obtain a spectrogram based on the frequency-domain data, and then can determine the value of the target data item based on the spectrogram, and further can compare the value of the target data item with a preset threshold and determine the comparison result, so as to be able to identify the jump point based on the comparison result.
[0026] In an alternative embodiment, the value of the target data item is the bias voltage value, and the preset threshold includes an upper bias voltage limit and a lower bias voltage limit;
[0027] And, identifying the jump point based on the comparison result includes:
[0028] When the bias voltage value is greater than the upper bias voltage limit or the bias voltage value is less than the lower bias voltage limit, the bias voltage value is the jump point.
[0029] This alternative embodiment can determine the bias voltage value as the jump point when the bias voltage value is greater than the upper bias voltage limit or the bias voltage value is less than the lower bias voltage limit.
[0030] In an alternative embodiment, the method further includes:
[0031] Generate a user operation interface for the user to configure target parameters, where the target parameters include the preset threshold;
[0032] Save the target parameters to a first target file, where the target parameters are determined based on the target field.
[0033] This alternative embodiment can provide a user operation interface for the user to configure target parameters based on the user operation interface.
[0034] In an alternative embodiment, obtaining the loop sieve data of the target product includes:
[0035] Read the loop sieve data of the target product based on the second target file selected by the user, where the second target file selected by the user is the storage folder of the loop sieve data of the target product.
[0036] This optional implementation manner can read the ring sieve data of the target product based on the second target file selected by the user.
[0037] In a second aspect, the present invention provides a fault judgment device for removing jump points from ring sieve data, the device comprising:
[0038] An acquisition module, configured to acquire the ring sieve data of the target product, wherein the ring sieve data of the target product is the data continuously acquired when the target product works in an incubator with high and low temperature changes;
[0039] An identification module, configured to identify jump points in the ring sieve data;
[0040] A removal module, configured to remove the jump points in the ring sieve data to obtain the screened ring sieve data;
[0041] A determination module, configured to determine whether there is a fault in the target product based on the screened ring sieve data.
[0042] The device in the second aspect of the present application acquires the ring sieve data of the target product, wherein the ring sieve data of the target product is the data continuously acquired when the target product works in an incubator with high and low temperature changes, and thus can identify the jump points in the ring sieve data, and thus can remove the jump points in the ring sieve data to obtain the screened ring sieve data, and thus can determine whether there is a fault in the target product based on the screened ring sieve data, finally realizing automatic fault judgment, reducing the time for manual data analysis and processing, so as to improve the fault judgment efficiency. On the other hand, by removing the jump points in the ring sieve data, the influence of the jump points on the fault judgment can be excluded, and thus the accuracy of the fault judgment can be improved.
[0043] In a third aspect, the present invention provides an electronic device, comprising:
[0044] A processor; and
[0045] A memory, configured to store machine-readable instructions, which when executed by the processor, execute the fault judgment method for removing jump points from ring sieve data according to any one of the foregoing implementation manners.
[0046] In the third aspect of the present application, the electronic device can perform a fault judgment method for eliminating data jump points in the ring sieve by obtaining the ring sieve data of the target product. The ring sieve data of the target product is the data continuously collected when the target product is placed in an incubator with changing high and low temperatures and is working. Furthermore, it can identify the jump points in the ring sieve data, and then eliminate the jump points in the ring sieve data to obtain the screened ring sieve data. Then, it can determine whether the target product has a fault based on the screened ring sieve data, ultimately realizing automatic fault judgment, reducing the time for manual data analysis and processing, and improving the fault judgment efficiency. On the other hand, by eliminating the jump points in the ring sieve data, the influence of the jump points on the fault judgment can be excluded, and thus the accuracy of the fault judgment can be improved.
[0047] In the fourth aspect, the present invention provides a storage medium storing a computer program, and the computer program is executed by a processor to perform the fault judgment method for eliminating data jump points in the ring sieve as described in any one of the foregoing embodiments.
[0048] The storage medium of the embodiments of the present application can perform a fault judgment method for eliminating data jump points in the ring sieve by obtaining the ring sieve data of the target product. The ring sieve data of the target product is the data continuously collected when the target product is placed in an incubator with changing high and low temperatures and is working. Furthermore, it can identify the jump points in the ring sieve data, and then eliminate the jump points in the ring sieve data to obtain the screened ring sieve data. Then, it can determine whether the target product has a fault based on the screened ring sieve data, ultimately realizing automatic fault judgment, reducing the time for manual data analysis and processing, and improving the fault judgment efficiency. On the other hand, by eliminating the jump points in the ring sieve data, the influence of the jump points on the fault judgment can be excluded, and thus the accuracy of the fault judgment can be improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.
[0050] Figure 1 is a schematic flowchart of a fault judgment method for eliminating data jump points in the ring sieve disclosed in the embodiments of the present application;
[0051] Figure 2 is a schematic result diagram of a fault judgment device for eliminating data jump points in the ring sieve disclosed in the embodiments of the present application;
[0052] Figure 3It is a schematic diagram of the result of an electronic device disclosed in an embodiment of the present application. Specific Embodiments
[0053] Next, the technical solutions in the embodiments of the present application will be described with reference to the accompanying drawings in the embodiments of the present application.
[0054] Embodiment 1
[0055] Please refer to Figure 1 , Figure 1 It is a schematic flowchart of a fault judgment method for eliminating data jump points of a ring sieve disclosed in an embodiment of the present application. As Figure 1 shown, the fault judgment method for eliminating data jump points of the ring sieve in the embodiment of the present application includes the following steps:
[0056] 101. Obtain the ring sieve data of the target product, where the ring sieve data of the target product is the data continuously collected when the target product is working in an incubator with high and low temperature changes;
[0057] 102. Identify the jump points in the ring sieve data;
[0058] 103. Eliminate the jump points in the ring sieve data to obtain the screened ring sieve data;
[0059] 104. Determine whether the target product has a fault based on the screened ring sieve data.
[0060] In the embodiment of the present application, by obtaining the ring sieve data of the target product, where the ring sieve data of the target product is the data continuously collected when the target product is working in an incubator with high and low temperature changes, it is possible to identify the jump points in the ring sieve data, and then eliminate the jump points in the ring sieve data to obtain the screened ring sieve data. Furthermore, it is possible to determine whether the target product has a fault based on the screened ring sieve data, ultimately realizing automatic fault judgment, reducing the time for manual data analysis and processing, and improving the fault judgment efficiency. On the other hand, by eliminating the jump points in the ring sieve data, the influence of the jump points on the fault judgment can be excluded, and thus the accuracy of the fault judgment can be improved.
[0061] For the embodiment of the present application, as an example, when judging whether the target product has a fault based on the maximum value A of the ring sieve data of the target product, if the maximum value A is an abnormal value, an incorrect fault judgment will be made based on the abnormal value. For example, based on the maximum value A, it is judged that the target product has an abnormality. However, in actuality, the maximum value A is a value collected under abnormal conditions, and this value itself is an abnormal value and cannot reflect whether the target product has a fault.
[0062] In an embodiment of the present application, the target product may be a sensor. On the other hand, the ring sieve data refers to the data continuously collected when the target product is working in an incubator with temperature changes between high and low temperatures, where the incubator with temperature changes between high and low temperatures changes based on a preset temperature change range.
[0063] In an embodiment of the present application, for step 102, a jump point refers to an abnormal value in the ring sieve data. For example, when the target product is affected by interference factors, a value B is generated at time t1, and this value B is a jump point.
[0064] In an embodiment of the present application, for step 102, the ring sieve data may be stored in multiple folders, where the multiple folders may exist in a parent - child folder structure.
[0065] In an embodiment of the present application, for step 102, the ring sieve data may exist in the form of an Excel table in the folder.
[0066] In an embodiment of the present application, for step 102, the jump points include single jump points and continuous jump points. Among them, a single jump point refers to a jump point that is not continuous with other jump points, and a continuous jump point refers to a jump point that is continuous with other jump points.
[0067] In an embodiment of the present application, for step 103, the filtered ring sieve data does not include jump points. In this way, the jump points cannot affect the fault judgment of the target product, and thus the accuracy of fault judgment can be improved.
[0068] In an embodiment of the present application, as an alternative implementation, the step of determining whether the target product has a fault based on the filtered ring sieve data includes the following sub - steps:
[0069] Determine the maximum value and the minimum value based on the filtered ring sieve data, and determine whether the target product has a fault based on the maximum value and the minimum value.
[0070] This alternative implementation can determine the maximum value and the minimum value based on the filtered ring sieve data, and determine whether the target product has a fault based on the maximum value and the minimum value.
[0071] Regarding determining the maximum value and the minimum value based on the filtered ring sieve data, and determining whether the target product has a fault based on the maximum value and the minimum value, there are three cases:
[0072] When the maximum value is less than the upper threshold, the target product is normal;
[0073] When the maximum value is greater than the upper threshold and the minimum value is less than the lower threshold, the target test has a fault;
[0074] When the maximum value is greater than the upper threshold and the minimum value is greater than the lower threshold, the target product has a fault.
[0075] For the above optional embodiments, the upper threshold and the lower threshold can be determined by the user according to the application scenario.
[0076] In an embodiment of the present application, as an optional embodiment, the method of the embodiment of the present application further includes the following steps:
[0077] When a jump point in the ring sieve data is recognized, the number of jump points and the number of consecutive jump points are accumulated;
[0078] Based on a preset statistical index, the filtered ring sieve data is statistically analyzed to obtain the value of the preset statistical index;
[0079] Based on the value of the preset statistical index, the number of jump points, and the number of consecutive jump points, a data summary table is generated;
[0080] The data summary table is displayed.
[0081] This optional embodiment can, when a jump point in the ring sieve data is recognized, accumulate the number of jump points and the number of consecutive jump points, and statistically analyze the filtered ring sieve data based on a preset statistical index to obtain the value of the preset statistical index. Furthermore, a data summary table can be generated based on the value of the preset statistical index, the number of jump points, and the number of consecutive jump points, and thus the data summary table can be displayed, thereby simplifying the operation of displaying the data summary to the user.
[0082] For the above optional embodiments, the value of the preset statistical index can refer to the maximum value, the minimum value, or the variance.
[0083] In an embodiment of the present application, as an optional embodiment, the step of: recognizing the jump points in the ring sieve data includes the following:
[0084] Based on the discrete Fourier transform, the ring sieve data is converted from time series data to frequency domain data, and a spectrogram is obtained based on the frequency domain data;
[0085] Based on the spectrogram, the value of the target data item is determined;
[0086] The value of the target data item is compared with a preset threshold to determine the comparison result;
[0087] Based on the comparison result, the jump points are recognized.
[0088] This optional embodiment can convert the ring sieve data from time series data to frequency domain data based on the discrete Fourier transform, and obtain a spectrogram based on the frequency domain data. Furthermore, the value of the target data item can be determined based on the spectrogram, and then the value of the target data item can be compared with a preset threshold to determine the comparison result, so that the jump points can be recognized based on the comparison result.
[0089] For the above optional embodiments, the formula used for the discrete Fourier transform is:
[0090]
[0091] where: (X(k)) is the k-th frequency component of the frequency-domain signal, (x(n)) is the n-th sample of the time-domain signal, (N) is the total number of samples of the signal, and (i) is the imaginary unit.
[0092] In an embodiment of the present application, as an alternative implementation, the target data item value is the bias value, and the preset thresholds include the upper bias limit and the lower bias limit; and, identifying jump points based on the comparison result includes the following steps:
[0093] When the bias value is greater than the upper bias limit or the bias value is less than the lower bias limit, the bias value is a jump point.
[0094] This alternative implementation can determine the bias value as a jump point when the bias value is greater than the upper bias limit or the bias value is less than the lower bias limit.
[0095] In an embodiment of the present application, as an alternative implementation, the method of the embodiment of the present application further includes the following steps:
[0096] Generate a user operation interface for the user to configure target parameters, where the target parameters include preset thresholds;
[0097] Save the target parameters to a first target file, where the target parameters are determined based on the target field.
[0098] This alternative implementation can provide a user operation interface for the user to configure target parameters based on the user operation interface.
[0099] In an embodiment of the present application, as an alternative implementation, the step of: obtaining the ring sieve data of the target product includes the following steps:
[0100] Read the ring sieve data of the target product based on the second target file selected by the user, where the second target file selected by the user is the storage folder of the ring sieve data of the target product.
[0101] This alternative implementation can read the ring sieve data of the target product based on the second target file selected by the user.
[0102] For an embodiment of the present application, as an example, the parameters set in the parameter setting stage need to be reasonable and effective, and the parameters need to be determined according to the output characteristics of different products. If unreasonable parameters are input, the program will judge all data as jump points and eliminate them, resulting in abnormal program operation.
[0103] Further, assume that the user selects a data directory containing several sub-folders, and each folder contains multiple data files. The temperature data of each data file is stored in a specific column. The user sets the following parameters:
[0104] Upper bias voltage limit: 13, lower bias voltage limit: 8, maximum number of jump points: 15; maximum number of consecutive jump points: 5.
[0105] Further, the program reads the data of each file, detects jump points according to these settings, and counts information such as the maximum number of jump points, the maximum number of consecutive jump points, the maximum value, and the minimum value of each data file. And based on this information, it automatically determines the fault situation of the product. Finally, the user will see the statistical results of each data file to help them perform data analysis and fault judgment.
[0106] Embodiment 2
[0107] Please refer to Figure 2 , Figure 2 which is a schematic structural diagram of a fault judgment device for eliminating jump points in ring sieve data disclosed in the embodiments of the present application. As Figure 2 shown, the device in the embodiments of the present application includes the following functional modules:
[0108] An acquisition module 201, configured to acquire the ring sieve data of the target product, where the ring sieve data of the target product is the data continuously acquired when the target product works in an incubator with changing high and low temperatures;
[0109] An identification module 202, configured to identify jump points in the ring sieve data;
[0110] An elimination module 203, configured to eliminate jump points in the ring sieve data to obtain the filtered ring sieve data;
[0111] A determination module 204, configured to determine whether the target product has a fault based on the filtered ring sieve data.
[0112] The device in the embodiments of the present application acquires the ring sieve data of the target product, where the ring sieve data of the target product is the data continuously acquired when the target product works in an incubator with changing high and low temperatures. Furthermore, it can identify jump points in the ring sieve data, and then can eliminate jump points in the ring sieve data to obtain the filtered ring sieve data. Furthermore, it can determine whether the target product has a fault based on the filtered ring sieve data, and finally realizes automatic fault judgment, reduces the time for manual data analysis and processing, and improves the fault judgment efficiency. On the other hand, by eliminating jump points in the ring sieve data, the influence of jump points on fault judgment can be excluded, and thus the accuracy of fault judgment can be improved.
[0113] Embodiment 3
[0114] Please refer to Figure 3, Figure 3 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. As Figure 3 shown, the electronic device in the embodiment of the present application includes:
[0115] a processor 301; and
[0116] a memory 302 configured to store machine-readable instructions, which, when executed by the processor 301, execute the fault judgment method for eliminating data jump points in a ring sieve as described in any one of the foregoing embodiments.
[0117] By executing the fault judgment method for eliminating data jump points in a ring sieve, the electronic device in the embodiment of the present application can obtain the ring sieve data of the target product, where the ring sieve data of the target product is the data continuously collected when the target product is working in an incubator with high and low temperature changes. Furthermore, it can identify the jump points in the ring sieve data, and then eliminate the jump points in the ring sieve data to obtain the filtered ring sieve data. Furthermore, it can determine whether the target product has a fault based on the filtered ring sieve data, and finally realize automatic fault judgment, reducing the time for manual data analysis and processing to improve the fault judgment efficiency. On the other hand, by eliminating the jump points in the ring sieve data, the influence of the jump points on the fault judgment can be excluded, and thus the accuracy of the fault judgment can be improved.
[0118] Embodiment 4
[0119] The embodiment of the present application provides a storage medium storing a computer program, and the computer program is executed by a processor to perform the fault judgment method for eliminating data jump points in a ring sieve as described in any one of the foregoing embodiments. By executing the fault judgment method for eliminating data jump points in a ring sieve, the storage medium in the embodiment of the present application can obtain the ring sieve data of the target product, where the ring sieve data of the target product is the data continuously collected when the target product is working in an incubator with high and low temperature changes. Furthermore, it can identify the jump points in the ring sieve data, and then eliminate the jump points in the ring sieve data to obtain the filtered ring sieve data. Furthermore, it can determine whether the target product has a fault based on the filtered ring sieve data, and finally realize automatic fault judgment, reducing the time for manual data analysis and processing to improve the fault judgment efficiency. On the other hand, by eliminating the jump points in the ring sieve data, the influence of the jump points on the fault judgment can be excluded, and thus the accuracy of the fault judgment can be improved.
[0120] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections between each other can be through some communication interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical or other forms.
[0121] In addition, the units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0122] Furthermore, in each embodiment of the present application, the various functional modules can be integrated together to form an independent part, or each module can exist alone, or two or more modules can be integrated to form an independent part.
[0123] It should be noted that if the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in the various embodiments of the present application. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs, etc., which can store program codes.
[0124] In this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.
[0125] The above are only embodiments of the present application and are not intended to limit the protection scope of the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.
Claims
1. A fault judgment method for eliminating jump points in ring screening data, characterized in that: The method comprises: Acquire ring screening data of the target product, wherein the ring screening data of the target product is data continuously collected when the target product is placed in a temperature box with high and low temperature changes; Identifying jump points in the ring screen data; Eliminating the jump points in the ring screening data to obtain the screened ring screening data; Determine whether the target product has a fault based on the screened ring screening data.
2. The method according to claim 1, characterized in that The determining whether the target product has a fault based on the screened ring screening data includes: A maximum value and a minimum value are determined based on the screened ring screening data, and whether the target product has a fault is determined based on the maximum value and the minimum value.
3. The method according to claim 1, characterized in that The method further comprises: When a jump point in the ring screening data is identified, the number of the jump points and the number of consecutive jump points are accumulated; Counting the screened ring data based on preset statistical indicators to obtain the value of the preset statistical indicators; Generate a data summary table based on the value of the preset statistical indicator, the number of the jump points and the number of continuous jump points; A summary table of the data is displayed.
4. The method according to claim 1, characterized in that The identifying of the jump point in the ring screening data comprises: Converting the ring sieve data from time series data to frequency domain data based on discrete Fourier transform, and obtaining a frequency spectrum based on the frequency domain data; Determine a target data item value based on the frequency spectrum; Compare the target data item value with a preset threshold and determine a comparison result; The jump point is identified based on the comparison result.
5. The method according to claim 4, characterized in that The target data item value is a bias value, and the preset threshold value includes a bias upper limit and a bias lower limit; And, identifying the jump point based on the comparison result, comprising: When the bias voltage value is greater than the bias voltage upper limit or the bias voltage value is less than the bias voltage lower limit, the bias voltage value is the jump point.
6. The method according to claim 5, characterized in that The method further comprises: Generating a user operation interface to enable a user to configure target parameters, wherein the target parameters include the preset threshold value; The target parameters are saved in a first target file, wherein the target parameters are determined based on a target field.
7. The method according to claim 1, characterized in that The step of obtaining the ring screening data of the target product includes: The ring screening data of the target product is read based on the second target file selected by the user, wherein the second target file selected by the user is a folder storing the ring screening data of the target product.
8. A fault judgment device for eliminating jump points in ring screening data, characterized in that: The device comprises: An acquisition module, used to acquire ring screening data of a target product, wherein the ring screening data of the target product is data continuously collected when the target product is placed in a temperature box with high and low temperature changes; An identification module, used for identifying jump points in the ring screening data; A removal module, used to remove jump points in the ring screening data to obtain screened ring screening data; A determination module is used to determine whether the target product has a fault based on the screened ring screening data.
9. An electronic device, characterized in that: include: processor; as well as A memory configured to store machine-readable instructions, which, when executed by the processor, execute the fault judgment method for eliminating jump points in ring screening data as described in any one of claims 1-7.
10. A storage medium, characterized in that: The storage medium stores a computer program, and the computer program is executed by a processor as the fault judgment method for eliminating jump points in ring screening data as described in any one of claims 1 to 7.