Method and equipment for analyzing and processing test data of winding machine

Abstract

The invention provides a winding machine test data analysis processing method and equipment, and belongs to the technical field of data analysis, and the method specifically comprises the steps: determining the deviation condition of control parameters of a transformer in different winding processing times based on the control parameters of a winding machine, when it is determined that the identification accuracy of the winding deviation type of the transformer meets the requirement by combining the distribution data of the identification delay deviation type in different winding processing times and the identification delay coefficient, the winding processing data of the winding machine under the control parameters are obtained; and the test processing scheme of the winding machine is determined in combination with the identification accuracy of the winding deviation type of the transformer, and the test data of the winding machine is acquired and analyzed by using the test processing scheme, so that the efficiency of abnormal identification processing is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data analysis, and particularly relates to a method and device for analyzing and processing winding machine test data. Background Art

[0002] In the existing technical solutions, the transformer winding is often automatically wound by a winding machine. However, at the same time, how to analyze and process the winding data of the winding machine to optimize the control parameters of the winding machine has become an urgent technical problem to be solved.

[0003] Specifically, in the existing technical solution CN201610909366.X, "Automatic Test and Immediate Feedback Adjustment Coil Winding Production Control System", after electrical testing, the test data of the coil product can be obtained, and the winding operation of the automatic winding machine can be adjusted using the test data to ensure that the produced coil product can meet the safety regulations test. However, the above technical solution has the following problems: When the winding machine is winding, it often involves multiple groups of parameters such as the winding feeding speed, the winding discharging position, the winding machine triggering position, the trolley discharging position, the trolley retracting position, the trolley retracting speed, and the trolley feeding speed. This makes it an urgent technical problem to dynamically adjust the equipment parameters by combining the test data during the winding process of the winding machine.

[0004] In view of the above technical problems, specifically, the present application provides a method and device for analyzing and processing winding machine test data. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions: In a first aspect, the present application provides a method for analyzing and processing winding machine test data, specifically including: S1 Based on the winding type of the transformer, determine the historical alarm data of the winding type of the transformer during the winding process by the winding machine. When the historical alarm data of the transformer meets the requirements, proceed to the next step; S2 Based on the delay situation of the historical alarm data when different winding deviation types occur in different winding process times of the winding type of the transformer, determine the identification delay coefficient and the identified delay deviation type of different winding deviation types; S3 Based on the control parameters of the winding machine, determine the deviation situation of the control parameters of the transformer in different winding process times, and when the identification accuracy rate of the winding deviation type of the transformer meets the requirements by combining the distribution data and the identification delay coefficient of the identified delay deviation type in different winding process times, proceed to the next step; S4 obtains the winding process data of the winding machine under the control parameters, determines the test processing scheme of the winding machine in combination with the recognition accuracy rate of the winding deviation type of the transformer, and uses the test processing scheme to obtain and analyze the test data of the winding machine.

[0006] The beneficial effects of the present invention are as follows: Based on the deviation situation of the control parameters in different winding process times of the transformer, the distribution data of the recognized delay deviation types in different winding process times, and the recognized delay coefficient, it is determined whether the recognition accuracy rate of the winding deviation type of the transformer meets the requirements, thereby realizing the evaluation of the recognition accuracy rate of the winding deviation type of the transformer from the recognized delay situation of the recognized delay deviation type, avoiding the influence on the winding process quality of the transformer due to the untimely test processing scheme when the recognition accuracy rate of the winding deviation type of the transformer is low, improving the reliability of the winding process of the transformer, and at the same time ensuring the efficiency and timeliness of the problem recognition and processing of the winding machine with low recognition accuracy rate.

[0007] Determine the test processing scheme of the winding machine according to the winding process data of the winding machine under the control parameters and the recognition accuracy rate of the winding deviation type of the transformer, which not only takes into account the differences in the recognition processing efficiency and reliability when there are winding deviation types due to the differences in the recognition accuracy rate of the winding deviation type during the winding process of the transformer, but also takes into account the differences in the production impact of the transformer when winding process deviations occur due to the differences in the winding process data, ensuring the efficiency of problem recognition and processing and the production quality of the transformer.

[0008] A further technical solution is that the winding type of the transformer is determined according to the number of winding layers of the transformer and the copper wire type of the winding.

[0009] A further technical solution is that the historical alarm data includes the historical alarm times in the winding process times corresponding to the winding type of the transformer and the fault types corresponding to different historical alarm times.

[0010] A further technical solution is that determining that the historical alarm data of the transformer meets the requirements specifically includes: Taking the winding process times corresponding to the winding type of the transformer as the matching process times; According to the historical alarm data of different matching process times, determine the matching process times including the historical alarm data and use them as the alarm processing times; Based on the alarm processing times, determine whether the historical alarm data of the transformer meets the requirements.

[0011] A further technical solution lies in determining whether the historical alarm data of the transformer meets the requirements based on the number of alarm handling times, specifically including: When the number of alarm handling times is greater than a preset handling times threshold, it is determined that the historical alarm data of the transformer does not meet the requirements.

[0012] A further technical solution lies in that when the historical alarm data of the transformer does not meet the requirements, a preset test scheme is used to determine the test processing scheme of the winding machine.

[0013] A further technical solution lies in that the method for determining the test processing scheme of the winding machine is as follows: Based on the winding processing data of the winding machine under the control parameters, determine the number of transformers completed in the winding process per unit time of the winding machine under the control parameters, and use it as the output per unit time. Take the difference between the preset value and the recognition accuracy rate of the winding deviation type of the transformer as the recognition deviation rate. Determine the output affected by the recognition deviation of the winding machine according to the product of the recognition deviation rate and the output per unit time, and use the affected output to determine the test processing scheme of the winding machine.

[0014] In a second aspect, the present invention provides a winding machine device, which adopts the above-mentioned method for analyzing and processing test data of a winding machine, specifically including: An alarm data evaluation module, a deviation type recognition module, an accuracy evaluation module, and a test data analysis module; Among them, the alarm data evaluation module is responsible for determining whether the historical alarm data of the transformer meets the requirements; The deviation type recognition module is responsible for determining the recognition delay coefficient and the recognized delay deviation type of different winding deviation types; The accuracy evaluation module is responsible for determining whether the recognition accuracy rate of the winding deviation type of the transformer meets the requirements; The test data analysis module is responsible for obtaining and analyzing the test data of the winding machine by using the test processing scheme.

[0015] Other features and advantages will be described in the subsequent specification. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the drawings.

[0016] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given, and in conjunction with the accompanying drawings, detailed descriptions are as follows. Description of the Drawings

[0017] The above and other features and advantages of the present invention will become more apparent by describing its exemplary embodiments in detail with reference to the accompanying drawings; Figure 1 is a flowchart of a method for analyzing and processing test data of a winding machine; Figure 2 is a flowchart for determining that the historical alarm data of the transformer meets the requirements; Figure 3 is a flowchart of a method for determining the identification delay coefficient of the winding deviation type; Figure 4 is a flowchart for determining that the identification accuracy rate of the winding deviation type of the transformer meets the requirements; Figure 5 is a flowchart of a method for determining the test processing scheme of the winding machine; Figure 6 is a framework diagram of a winding machine device. Specific embodiments

[0018] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of this specification.

[0019] In this application, when the winding deviation type of the transformer occurs, the delay situation of the alarm data of the winding machine is used to determine the identification accuracy rate of the winding deviation of the transformer, and the identification accuracy rate is used to determine the analysis and processing scheme of the test data of the winding machine. On the basis of reducing the difficulty of analyzing and processing the test data, the real-time performance of analyzing and processing the test data is improved, and the occurrence of winding deviation is avoided.

[0020] The number of winding processing times corresponding to the winding type of the transformer is used as the matching processing times. According to the historical alarm data of different matching processing times, the matching processing times including the historical alarm data are determined and used as the alarm processing times. When the alarm processing times are greater than the preset processing times threshold, it is determined that the historical alarm data of the transformer does not meet the requirements.

[0021] Based on the delay duration of the historical alarm data when the winding deviation type occurs, the number of historical alarm times with the delay duration of the winding deviation type greater than the preset delay duration is counted and used as the identification delay alarm times. Based on the preset corresponding relationship between the identification delay alarm times and the preset delay coefficient, the identification delay coefficient of the winding deviation type is determined. The winding deviation types with the identification delay coefficient greater than 0.5 are used as the delay deviation types.

[0022] Based on the deviation situation of the control parameters in different winding processing times, determine the control parameters whose deviation situation between the control parameters in different winding processing times and the control parameters of the winding machine is within the preset deviation range, and use them as similar control parameters. Determine the weight coefficient of different winding processing times according to the proportion of the similar control parameters in the control parameters; Take the sum of the recognition delay coefficients of the recognition delay deviation types of different winding processing times as the delay coefficient sum, and take the winding processing times with the delay coefficient sum greater than the preset threshold as the delay recognition processing times. Determine the recognition accuracy rate of the winding deviation type of the transformer according to the difference between 1 and the average value of the proportion of the delay processing times in different weight coefficient intervals. When the recognition accuracy rate is less than the preset accuracy rate threshold, it is determined that the recognition accuracy rate of the winding deviation type of the transformer does not meet the requirements.

[0023] Take the number of transformers completed in winding processing per unit time by the winding machine under the control parameters as the output per unit time, take the difference between the preset value and the recognition accuracy rate of the winding deviation type of the transformer as the recognition deviation rate, determine the impact of the recognition deviation of the winding machine on the output according to the product of the recognition deviation rate and the output per unit time, and use the impact on the output to determine the test processing scheme of the winding machine.

[0024] Embodiment 1 As Figure 1 shown, the present application provides a method for analyzing and processing test data of a winding machine, specifically including: S1 Based on the winding type of the transformer, determine the historical alarm data of the winding type of the transformer during winding processing by the winding machine. When the historical alarm data of the transformer meets the requirements, proceed to the next step; Further, the winding type of the transformer is determined according to the number of winding layers of the transformer and the copper wire type of the winding.

[0025] Specifically, the historical alarm data includes the historical alarm times in the winding processing times corresponding to the winding type of the transformer and the fault types corresponding to different historical alarm times.

[0026] It should be noted that, as Figure 2 shown, determining that the historical alarm data of the transformer meets the requirements specifically includes: Take the winding processing times corresponding to the winding type of the transformer as the matching processing times; According to the historical alarm data of different matching processing times, determine the matching processing times including historical alarm data, and use them as the alarm processing times; Determine whether the historical alarm data of the transformer meets the requirements based on the number of alarm handling times.

[0027] Further, determining whether the historical alarm data of the transformer meets the requirements specifically includes: When the number of alarm handling times is greater than the preset handling times threshold, it is determined that the historical alarm data of the transformer does not meet the requirements.

[0028] It should be noted that when the historical alarm data of the transformer does not meet the requirements, a preset test scheme is used to determine the test processing scheme of the winding machine.

[0029] In another possible embodiment, determining that the historical alarm data of the transformer meets the requirements specifically includes: S11 Take the number of winding processing times corresponding to the winding type of the transformer as the matching processing times. According to the historical alarm data of different matching processing times, determine the matching processing times including the historical alarm data, and use it as the number of alarm handling times; It should be noted that before proceeding to step S12, it is also necessary to determine whether there is historical alarm data for the matching processing times, the proportion of the number of alarm handling times in the matching processing times, or whether the number of alarm handling times meets the requirements.

[0030] Specifically, if there is no historical alarm data for different matching processing times, it is determined that the historical alarm data of the transformer meets the requirements. In addition, when there is historical alarm data for the matching processing times, if the proportion of the number of alarm handling times in the matching processing times or the number of alarm handling times does not meet the requirements, it is directly determined that the historical alarm data of the transformer does not meet the requirements. Only when the proportion of the number of alarm handling times in the matching processing times and the number of alarm handling times both meet the requirements, proceed to the next step.

[0031] S12 Determine the historical alarm times in different alarm handling times based on the historical alarm data of different alarm handling times; Exemplarily, in step S12, it is also necessary to determine that when there is an alarm handling time with a historical alarm time greater than the preset alarm time, it is directly determined that the historical alarm data of the transformer does not meet the requirements. In addition, when there is no alarm handling time with a historical alarm time greater than the preset alarm time, it is also necessary to determine that when the proportion of the number of alarm handling times in the matching processing times is less than the preset proportion of times and the number of alarm handling times is less than the preset times threshold, it is determined that the historical alarm data of the transformer meets the requirements.

[0032] It can be understood that when the proportion of the number of alarm processing times in the number of matching processing times is not less than the preset number proportion or the number of alarm processing times is not less than the preset number threshold, the number of alarm processing times within the preset alarm number range is based on the historical alarm number in different alarm processing times. When the number of alarm processing times within the preset alarm number range is greater than the preset alarm processing number threshold, it is determined that the historical alarm data of the transformer does not meet the requirements.

[0033] It should be noted that when the number of alarm processing times within the preset alarm number range is not greater than the preset alarm processing number threshold, the next step is entered.

[0034] S13 Determine the alarm outliers in different alarm processing times based on the historical alarm number in different alarm processing times, and determine whether the historical alarm data of the transformer meets the requirements in combination with the proportion of the alarm processing times in the number of matching processing times.

[0035] It should be noted that the alarm outliers are determined according to the product of the historical alarm number and the preset proportional factor. In addition, if the average value of the alarm outliers and the proportion of the alarm processing times in the number of matching processing times is on the high side, that is, greater than the preset threshold, it can be determined that the historical alarm data of the transformer does not meet the requirements.

[0036] S2 Based on the delay situation of the historical alarm data when different winding deviation types occur in different winding processing times of the winding type of the transformer, determine the identification delay coefficient and the identification delay deviation type of different winding deviation types; Furthermore, the deviation situation of the control parameters is determined according to the deviation situation between the control parameters of the transformer in different winding processing times and the control parameters of the winding machine.

[0037] It should be noted that the delay situation of the historical alarm data is determined according to the deviation amount between the moment when the winding deviation type occurs and the moment of the historical alarm data.

[0038] It can be understood that as Figure 3 shown, the method for determining the identification delay coefficient of the winding deviation type is: Based on the delay situation of the historical alarm data when the winding deviation type occurs in different winding processing times, determine the delay duration of the historical alarm data when the winding deviation type occurs; Based on the delay duration of the historical alarm data when the winding deviation type occurs, count the number of historical alarm times when the delay duration of the winding deviation type is greater than the preset delay duration, and use it as the identification delay alarm number; Determine the recognition delay coefficient of the winding deviation type based on the number of recognition delay alarms.

[0039] Specifically, determining the recognition delay coefficient of the winding deviation type based on the number of recognition delay alarms specifically includes: Based on the product of the number of recognition delay alarms and a preset proportional coefficient, determine the recognition delay coefficient of the winding deviation type.

[0040] It can be understood that the value range of the recognition delay coefficient of the winding deviation type is between 0 and 1. When the recognition delay coefficient of the winding deviation type is greater than the preset delay coefficient threshold, it is determined that the winding deviation type is the recognition delay deviation type.

[0041] Optionally, the method for determining the recognition delay coefficient of the winding deviation type is: Based on the delay situation of the historical alarm data when the winding deviation type occurs in different winding processing times, determine the delay duration of the historical alarm data when the winding deviation type occurs; Based on the delay duration of the historical alarm data when the winding deviation type occurs, count the number of historical alarms whose delay duration of the winding deviation type is greater than the preset delay duration, and use it as the number of recognition delay alarms; Determine the recognition delay coefficient of the winding deviation type by the ratio of the number of recognition delay alarms to the number of historical alarms of the winding deviation type.

[0042] Optionally, the method for determining the recognition delay coefficient of the winding deviation type is: S21 Based on the historical alarm data when the winding deviation type occurs in different winding processing times, determine the number of historical alarms of the winding deviation type and use it as the matching alarm number; It can be understood that before proceeding to the next step, it is also necessary to further determine whether the delay durations of the historical alarm data of different matching alarm numbers are all not greater than the preset delay duration. If so, it is determined that the winding deviation type does not belong to the recognition delay deviation type. If not, the number of matching alarms whose delay duration of the historical alarm data is greater than the preset delay duration needs to be used as the number of recognition delay alarms.

[0043] In addition, when the number of recognition delay alarms is not less than the preset number of recognition delay alarm threshold, it is determined that the winding deviation type belongs to the recognition delay deviation type, and the recognition delay coefficient of the winding deviation type is determined using the preset delay coefficient. Only when the number of recognition delay alarms is less than the preset number of recognition delay alarm threshold, proceed to step S22.

[0044] S22 uses the number of matching alarm times with a delay duration of historical alarm data greater than the preset delay duration as the recognized delay alarm times, and based on the historical alarm data when the winding deviation type occurs in different winding treatment times, determines the recognized delay alarm times in different winding treatment times; Specifically, when further determining whether there is a winding treatment time with recognized delay alarm times not meeting the requirements in step S22 above, if so, it is determined that the winding deviation type belongs to the recognized delay deviation type, and the recognized delay coefficient of the winding deviation type is determined using the preset delay coefficient. If not, it proceeds to step S23.

[0045] S23 determines the alarm delay coefficients of different winding treatment times based on the delay durations of the historical alarm data of the matching alarm times in different winding treatment times, and determines the recognized delay coefficient of the winding deviation type based on the alarm delay coefficients of different winding treatment times.

[0046] It can be understood that when there is a winding treatment time with an alarm delay coefficient not meeting the requirements, it is directly determined that the winding deviation type belongs to the recognized delay deviation type, and the recognized delay coefficient of the winding deviation type is determined using the preset delay coefficient. Only when there is no winding treatment time with an alarm delay coefficient not meeting the requirements, the determination of the recognized delay coefficient is carried out.

[0047] It should be further noted that the alarm delay coefficient and the recognized delay coefficient can be determined by means of the analytic hierarchy process, expert scoring or neural network on the basis that the input quantity is determined.

[0048] S3 determines the deviation situation of the control parameters of the transformer in different winding treatment times based on the control parameters of the winding machine, and when the recognition accuracy rate of the winding deviation type of the transformer meets the requirements by combining the distribution data and the recognized delay coefficient of the recognized delay deviation type in different winding treatment times, proceeds to the next step; Specifically, the distribution data of the recognized delay deviation type includes the number and distribution period of the recognized delay deviation type in different winding treatment times.

[0049] Specifically, as Figure 4 shown, determining that the recognition accuracy rate of the winding deviation type of the transformer meets the requirements specifically includes: Based on the deviation situation of the control parameters in different winding treatment times, determines the control parameters within the preset deviation range of the deviation situation between the control parameters in different winding treatment times and the control parameters of the winding machine, and takes them as similar control parameters, and determines the weight coefficients of different winding treatment times according to the proportion of the similar control parameters in the control parameters; Determine the sum of the recognition delay coefficients of the recognition delay deviation types for different winding treatment times based on the distribution data of the recognition delay deviation types and the recognition delay coefficients in different winding treatment times, and use it as the sum of the delay coefficients; Use the sum of the delay coefficients to determine the delay recognition treatment times in the winding treatment times, determine the recognition accuracy rate of the winding deviation types of the transformer according to the proportion of the delay treatment times in different weight coefficient intervals, and combine with a preset accuracy threshold to determine whether the recognition accuracy rate of the winding deviation types of the transformer meets the requirements.

[0050] Further, the delay recognition treatment times in the winding treatment times are the winding treatment times when the sum of the recognition delay coefficients is not within the preset delay coefficient interval.

[0051] In addition, it should be noted that determining the recognition accuracy rate of the winding deviation types of the transformer according to the proportion of the delay treatment times in different weight coefficient intervals specifically includes: Divide the delay treatment times into different weight coefficient intervals according to the weight coefficients of different winding treatment times; Based on the proportion of the delay treatment times in different weight coefficient intervals, determine the recognition treatment delay amounts in different weight coefficient intervals, and use the product of the recognition treatment delay amounts in different weight coefficient intervals and the average value of the weight coefficients of different winding treatment times in the weight coefficient intervals to determine the corrected recognition delay amounts in different weight coefficient intervals; Determine the recognition accuracy rate of the winding deviation types of the transformer according to the difference between the preset value and the average value of the corrected recognition delay amounts in different weight coefficient intervals.

[0052] Further, when the recognition accuracy rate of the winding deviation types of the transformer is less than the preset accuracy threshold, it is determined that the recognition accuracy rate of the winding deviation types of the transformer does not meet the requirements.

[0053] In addition, it should be noted that when the recognition accuracy rate of the winding deviation types of the transformer does not meet the requirements, use a preset test scheme to determine the test treatment scheme of the winding machine.

[0054] Optionally, determining that the recognition accuracy rate of the winding deviation types of the transformer meets the requirements specifically includes: Based on the deviation situation of the control parameters in different winding treatment times, determine the control parameters whose deviation situation between the control parameters in different winding treatment times and the control parameters of the winding machine is within the preset deviation range, and use them as similar control parameters, and determine the weight coefficients of different winding treatment times according to the proportion of the similar control parameters in the control parameters; Determine the sum of the recognition delay coefficients of the recognition delay deviation types for different winding processing times based on the distribution data of the recognition delay deviation types and the recognition delay coefficients in different winding processing times, and use it as the sum of delay coefficients; Use the sum of the recognition delay coefficients to determine the accurate recognition processing times in the winding processing times, determine the recognition accuracy rate of the winding deviation type of the transformer according to the proportion of the sum of the weight coefficients of different accurate recognition processing times, and combine the preset accuracy threshold to determine whether the recognition accuracy rate of the winding deviation type of the transformer meets the requirements.

[0055] Further, the accurate recognition processing times in the winding processing times are the winding processing times when the sum of the recognition delay coefficients is within the preset delay coefficient range.

[0056] Optionally, determining that the recognition accuracy rate of the winding deviation type of the transformer meets the requirements specifically includes: Determine the sum of the recognition delay coefficients of the recognition delay deviation types for different winding processing times based on the distribution data of the recognition delay deviation types and the recognition delay coefficients in different winding processing times, and use it as the sum of delay coefficients; It should be further noted that in the above steps, it is also necessary to further determine whether there is a winding processing time with a sum of delay coefficients greater than the preset coefficient threshold. If so, it is determined that the recognition accuracy rate of the winding deviation type of the transformer does not meet the requirements. If not, proceed to the next step.

[0057] Take the winding processing times with recognition delay coefficients not within the preset delay coefficient range as delay recognition processing times. Based on the deviation situation of the control parameters in different winding processing times, determine the control parameters whose deviation situation of the control parameters in different winding processing times from the control parameters of the winding machine is within the preset deviation range, and use them as similar control parameters. Determine the weight coefficients of different winding processing times according to the proportion of the similar control parameters in the control parameters; Specifically, before proceeding to the next step, it is also necessary to further determine that when the quantity proportion of the delay recognition processing times or the delay recognition processing times in the winding processing times does not meet the requirements, it is determined that the recognition accuracy rate of the winding deviation type of the transformer does not meet the requirements. If the quantity proportions of both the delay recognition processing times and the delay recognition processing times in the winding processing times meet the requirements, when the sum of the weight coefficients of the delay recognition processing times or the ratio of the sum of the weight coefficients of the delay recognition processing times to the sum of the weight coefficients in the winding processing times does not meet the requirements, it is determined that the recognition accuracy rate of the winding deviation type of the transformer does not meet the requirements; In addition, only when the sum of the weight coefficients of the delay recognition processing times and the ratio of the sum of the weight coefficients of the delay recognition processing times to the sum of the weight coefficients in the winding processing times both meet the requirements, is it necessary to proceed to the next step.

[0058] Determine the recognition accuracy rate of the winding deviation type of the transformer according to the proportion of the delay processing times in different weight coefficient intervals, and combine the preset accuracy rate threshold to determine whether the recognition accuracy rate of the winding deviation type of the transformer meets the requirements.

[0059] S4 Obtain the winding processing data of the winding machine under the control parameters, and combine the recognition accuracy rate of the winding deviation type of the transformer to determine the test processing scheme of the winding machine, and use the test processing scheme to obtain and analyze the test data of the winding machine.

[0060] Specifically, as Figure 5 shown, the method for determining the test processing scheme of the winding machine is: Based on the winding processing data of the winding machine under the control parameters, determine the number of transformers completed in the winding processing per unit time of the winding machine under the control parameters, and use it as the output per unit time; Take the difference between the preset value and the recognition accuracy rate of the winding deviation type of the transformer as the recognition deviation rate; Determine the output affected by the recognition deviation of the winding machine according to the product of the recognition deviation rate and the output per unit time, and use the affected output to determine the test processing scheme of the winding machine.

[0061] Furthermore, using the affected output to determine the test processing scheme of the winding machine specifically includes: When the affected output is greater than the preset affected output, use the preset test scheme to determine the test processing scheme of the winding machine; When the affected output is not greater than the preset affected output, use the preset matching test scheme corresponding to the affected output to determine the test processing scheme of the winding machine.

[0062] It can be understood that the preset test scheme is to obtain and analyze all test data in different test times.

[0063] Specifically, the test processing scheme of the winding machine is divided according to the types of test data obtained and analyzed in different test times.

[0064] Specifically, in a certain test scheme, the number of test times A is to obtain and analyze only test data 1 and test data 2, the number of test times B is to obtain and analyze only test data 3 and test data 4, and the test scheme C is to obtain and analyze all of test data 1, 2, 3, and 4. Such cyclic test processing of A / B / C is performed.

[0065] The second test scheme is divided into the number of test times A, B, C, and D, and the acquisition and analysis of test data 1, 2, 3, and 4 are carried out respectively, and such cyclic test processing of A / B / C / D is performed.

[0066] Embodiment 2 In a second aspect, as Figure 6 shown, the present invention provides a winding machine device, which adopts the above-mentioned method for analyzing and processing test data of a winding machine, and specifically includes: An alarm data evaluation module, a deviation type identification module, an accuracy evaluation module, and a test data analysis module; Among them, the alarm data evaluation module is responsible for determining whether the historical alarm data of the transformer meets the requirements; The deviation type identification module is responsible for determining the identification delay coefficient and the identified delay deviation type of different winding deviation types; The accuracy evaluation module is responsible for determining whether the identification accuracy of the winding deviation type of the transformer meets the requirements; The test data analysis module is responsible for obtaining and analyzing the test data of the winding machine by using the test processing scheme.

[0067] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments. In particular, for the embodiments of the device, equipment, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0068] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0069] The above are only one or more embodiments of this specification and are not intended to limit this specification. For those skilled in the art, various changes and modifications can be made to one or more embodiments of this specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A method for analyzing and processing winding machine test data, characterized in that Specifically include: Based on the winding type of the transformer, determine the historical alarm data of the winding type of the transformer during the winding process by the winding machine. When the historical alarm data of the transformer meets the requirements, proceed to the next step; Based on the delay conditions of the historical alarm data when different winding deviation types occur in different winding process times of the winding type of the transformer, determine the identification delay coefficient and the identified delay deviation type of different winding deviation types; Based on the control parameters of the winding machine, determine the deviation conditions of the control parameters of the transformer in different winding process times, and combine the distribution data and the identification delay coefficient of the identified delay deviation type in different winding process times to proceed to the next step when the identification accuracy rate of the winding deviation type of the transformer meets the requirements; Obtain the winding process data of the winding machine under the control parameters, and combine the identification accuracy rate of the winding deviation type of the transformer to determine the test processing scheme of the winding machine, and use the test processing scheme to obtain and analyze the test data of the winding machine.

2. The method for analyzing and processing the winding machine test data according to claim 1, wherein The winding type of the transformer is determined according to the number of winding layers of the transformer and the type of copper wire of the winding.

3. The method for analyzing and processing winding machine test data according to claim 1, wherein The historical alarm data includes the historical alarm times in the winding process times corresponding to the winding type of the transformer and the fault types corresponding to different historical alarm times.

4. The method for analyzing and processing the test data of the winding machine according to claim 1, characterized in that, Determining that the historical alarm data of the transformer meets the requirements specifically includes: Take the winding process times corresponding to the winding type of the transformer as the matching process times; According to the historical alarm data of different matching process times, determine the matching process times containing historical alarm data and use them as the alarm processing times; Based on the alarm processing times, determine whether the historical alarm data of the transformer meets the requirements.

5. The method for analyzing and processing winding machine test data according to claim 4, wherein Based on the alarm processing times, determining whether the historical alarm data of the transformer meets the requirements specifically includes: When the alarm processing times are greater than the preset processing times threshold, it is determined that the historical alarm data of the transformer does not meet the requirements.

6. The data analysis and processing method for the winding machine test according to claim 4, characterized in that When the historical alarm data of the transformer does not meet the requirements, use the preset test scheme to determine the test processing scheme of the winding machine.

7. The method for analyzing and processing the winding machine test data according to claim 1, wherein, The delay condition of the historical alarm data is determined according to the deviation amount between the moment when the winding deviation type occurs and the moment of the historical alarm data.

8. The data analysis and processing method for the winding machine test according to claim 1, characterized in that The method for determining the test processing scheme of the winding machine is: Based on the winding process data of the winding machine under the control parameters, determine the number of transformers completed in the winding process per unit time of the winding machine under the control parameters and use it as the output per unit time; Take the difference between the preset value and the identification accuracy rate of the winding deviation type of the transformer as the identification deviation rate; Determine the output affected by the identification deviation of the winding machine according to the product of the identification deviation rate and the output per unit time, and use the affected output to determine the test processing scheme of the winding machine.

9. The method for analyzing and processing winding machine test data according to claim 1, characterized in that The test processing scheme of the winding machine is divided according to the types of test data obtained and analyzed in different test times.

10. A winding machine device, adopting a method for analyzing and processing winding machine test data according to any one of claims 1-9, characterized in that, Specifically include: Alarm data evaluation module, deviation type identification module, accuracy evaluation module, test data analysis module; Among them, the alarm data evaluation module is responsible for determining whether the historical alarm data of the transformer meets the requirements; The deviation type identification module is responsible for determining the identification delay coefficient and the identified delay deviation type of different winding deviation types; The accuracy evaluation module is responsible for determining whether the identification accuracy of the winding deviation type of the transformer meets the requirements; The test data analysis module is responsible for obtaining and analyzing the test data of the winding machine by using the test processing scheme.

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