Railway signal product insulation test method and device and storage medium

Abstract

The invention relates to a railway signal product insulation test method and device and a storage medium, and the method comprises the steps: S1, obtaining test reports of all products of the same model, and standardizing the test results of all test items in the test reports into normal, critical abnormality, abnormality or serious abnormality; s2, based on the standardized test result of each test item, calculating the abnormal correlation of each test item; and S3, simplifying and rearranging the test items based on the calculated correlation to obtain a rapid test report template. Compared with the prior art, the method has the advantages that the abnormal correlation among the test items in the report is mined, so that some test items of the test report can be simplified and sorted, and the rapid test report is obtained.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of railway communication, and in particular to a railway signal product insulation test method, device and storage medium. BACKGROUND

[0002] The railway signal system is a key infrastructure for ensuring train operation safety and improving transportation efficiency. The insulation performance of a large number of electrical equipment and signal cables contained therein directly affects the reliability of the entire system. The deterioration of insulation performance can cause signal errors, equipment malfunctions, and even system failures, posing a serious threat to railway operation safety. Therefore, it is crucial to regularly and effectively test the insulation of railway signal products.

[0003] Currently, the traditional insulation detection method in the railway field mainly relies on manual point-to-point measurement using a megohmmeter (oscillometer). This method usually requires the operator to carry the equipment to the site and test the signal cables, power supply loop, track circuit, etc. one by one. Although it is still used in some cases, this method has obvious limitations: the testing process is tedious and inefficient, and the accuracy of the results is easily affected by human factors and environmental interference. In particular, when a large number of signal cables or device loops need to be tested, manual operation not only requires a lot of effort, but also makes it difficult to ensure consistency in testing. In addition, the traditional megohmmeter outputs high voltage (such as 500V), which poses a safety risk during online testing, and is not suitable for sequential automatic detection of high-capacity devices.

[0004] In recent years, to improve testing efficiency and automation level, some automated detection technologies and special devices have been developed and applied. For example, there are insulation test devices that can automatically poll multiple signal cables. They switch the lines to be tested through a relay matrix, achieving a certain degree of sequential detection. There are also systems that monitor the ground insulation and loop-to-loop insulation of the power supply screen multi-loop power supply loop online through resistance voltage division principle. These technologies reduce the dependence on manual operation to some extent and can provide more continuous monitoring data. However, the existing automation solutions still have room for optimization. On the one hand, many systems still follow a fixed, pre-set test item set and sequence for scanning, without considering the internal relevance between different test items. This can result in redundant items in the test process or a non-optimal test sequence, so that unnecessary testing time has been spent when some key items are detected to be abnormal. On the other hand, in the face of a large number of signal products of the same type but with differences between individuals, there is a lack of a method that can dynamically optimize the test strategy based on historical test data. Existing test specifications are often general and cannot be adapted to the common failure modes or performance degradation characteristics of specific product types, making it difficult to maximize test time compression while ensuring test coverage, which is particularly important for tests that need to be performed during short maintenance "windows".

[0005] Therefore, there is an urgent need in the art for an insulation test method capable of intelligently analyzing historical test data, automatically identifying correlations between test items, and accordingly simplifying test items and optimizing test order, so as to significantly improve test efficiency and better adapt to the needs of efficient maintenance of railway signal systems, while ensuring test accuracy and integrity. SUMMARY

[0006] The purpose of the present application is to provide a railway signal product insulation test method, device and storage medium to solve the technical problems existing in the prior art.

[0007] The purpose of the present application can be achieved by the following technical solutions: A railway signal product insulation test method, comprising: Step S1: Obtain test reports of all products of the same model, and standardize the test results of all test items in the test reports as normal, critical abnormal, abnormal or serious abnormal; Step S2: Based on the test results of each test item after standardization, the abnormal correlation of each test item is calculated respectively; Step S3: Based on the correlation obtained by calculation, the test items are simplified and rearranged to obtain a fast test report template.

[0008] In step S1, for test items with qualitative original test results, the test results of test items representing normality including normal and pass are standardized as normal, and the test results of test items representing abnormality including abnormal and fail are standardized as abnormal; For test items with quantitative original test results: The test results of test items with numerical values in the interval [a1G min ,a2G max ] are standardized as normal, where a1 and a2 are the first and second coefficients respectively, and G min and G max are the upper and lower limits of the pre-configured normal interval respectively, The test results of test items with numerical values in the interval [G min ,a1G min ) or (a2G max ,G max ] are standardized as critical abnormal, The test results of test items with numerical values in the interval [a3G min ,G min ) or (G max ,a4G max ] are standardized as abnormal, a3 and a4 are the third and fourth coefficients respectively, The test results of test items with numerical values less than a3Gmin or greater than a4G max The test results of the test items were standardized as severe anomalies.

[0009] The first coefficient is 1.1, and the second coefficient is 0.9.

[0010] The third coefficient is 0.5, and the fourth coefficient is 1.5.

[0011] Step S2 includes: Step S2-1: Remove test reports where all standardized test results for all test items are normal; Step S2-2: Generate a set of test items, and construct a test item pair from any two different test items in the set; Step S2-3: For each test item pair, iterate through all remaining test reports and calculate the positive correlation and negative correlation. The positive correlation represents the influence of the first test item on the second test item in the test item pair, and the negative correlation represents the influence of the second test item on the first test item in the test item pair.

[0012] The processing steps for the test item pairs in steps S2-3 include: Step S2-3-1: Initialize the first, second, and third count values ​​to 0, and read the first test report; Step S2-3-2: Determine whether the standardized test results of the two test items corresponding to the test item pair in the currently read test report are both normal. If yes, proceed to step S2-3-3; otherwise, proceed to step S2-3-4. Step S2-3-3: Determine if there are any untraversed test reports. If yes, read the next untraversed test report and return to step S2-3-2. Otherwise, execute step S2-3-7. Step S2-3-4: Determine whether any of the following conditions are met: If the standardized test result of the first test item in the test item pair is critically anomaly or anomaly, and the standardized test result of the second test item is anomaly. If the standardized test result of the first test item in the test item pair is anomalous or critically anomalous, and the standardized test result of the second test item is critically anomalous... If yes, then the second count value is incremented by 1, and step S2-3-5 is executed; otherwise, step S2-3-5 is executed directly. Step S2-3-5: Determine whether any of the following conditions are met: If the standardized test result of the second test item in the test item pair is critically anomaly or anomaly, and the standardized test result of the first test item is anomaly. If the standardized test result of the second test item in the test item pair is anomalous or critically anomalous, and the standardized test result of the first test item is critically anomalous. If yes, then the third count value is incremented by 1, and step S2-3-6 is executed; otherwise, step S2-3-6 is executed directly. Step S2-3-6: Increment the first count value by 1, and return to step S2-3-3; Step S2-3-7: Calculate the ratio of the second count value to the first count value as the positive correlation, and the ratio of the third count value to the first count value as the negative correlation.

[0013] Step S3 includes: Step S3-1: Select the first test item pair; Step S3-2: Determine whether the positive correlation of the currently selected test item pair is 1. If yes, proceed to step S3-3; otherwise, proceed to step S3-5. Step S3-3: Determine whether the inverse correlation of the currently selected test item pair is 1. If it is, delete the later test item in the test item pair. Otherwise, delete the second test item in the test item pair and execute step S3-4. The later test item is the test item that is later in the test order in the original test specification. Step S3-4: Determine if there are any untraversed test item pairs. If yes, select the next untraversed test item pair and return to step S3-2; otherwise, execute step S3-9. Step S3-5: Determine whether the inverse correlation of the currently selected test item pair is 1. If it is, delete the first test item in the test item pair and execute step S3-4. Otherwise, execute step S3-6. Step S3-6: Determine whether at least one of the positive correlation and negative correlation of the currently selected test item pair is greater than the pre-configured correlation threshold. If yes, proceed to step S3-7; otherwise, proceed to step S3-4. Step S3-7: Determine whether the positive correlation and negative correlation of the currently selected test item pair are equal. If yes, proceed to step S3-4; otherwise, proceed to step S3-8. Step S3-8: Determine whether the positive correlation is greater than the negative correlation. If yes, proceed to step S3-4. Otherwise, move the second test item in the test item pair before the first test item and proceed to step S3-4. Step S3-9: Generate a quick test report template based on the remaining test items and the sorting.

[0014] The correlation threshold is 0.8.

[0015] An insulation testing device for railway signaling products includes a memory, a processor, and a program stored in the memory, wherein the processor executes the program to implement the method described above.

[0016] A storage medium having a program stored thereon, which, when executed, implements the method described above.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. By acquiring and standardizing test reports for all products of the same model, a comprehensive and standardized data foundation is provided for subsequent analysis. This helps to uncover potential patterns from massive historical data. Calculating the anomaly correlations of each test item based on the standardized results scientifically reveals the inherent relationships between different insulation test items, thereby identifying key test indicators. Based on these correlations, test items are simplified and rearranged, resulting in a rapid test report template that significantly improves testing efficiency and shortens inspection time. This is particularly important for railway on-site maintenance that requires testing during short "window periods." Simultaneously, this template ensures the relevance of testing and avoids redundant operations.

[0018] 2. By setting multiple standardized levels (especially "critical anomaly"), a more refined state assessment of insulation performance can be performed, which helps to detect the degradation trend of insulation performance at an early stage and realize early warning.

[0019] 3. The establishment of a first coefficient and a second coefficient makes the definition of the normal range more scientific, reduces misjudgments caused by minor measurement fluctuations, and improves the accuracy and operability of standardization.

[0020] 4. By clearly defining the numerical range of severe anomalies, a clear standard is provided for the rapid identification of severe insulation defects or faults, facilitating on-site personnel to take immediate emergency measures and ensure railway operation safety.

[0021] 5. By removing reports where all items are normal, and focusing on analyzing reports with anomalies, correlation calculations are more focused on problematic data, improving the accuracy and efficiency of the analysis.

[0022] 6. By using specific counting and judgment conditions, the impact of an anomaly in one test item on another test item can be quantified, making the judgment of the relationship between items more objective and based on evidence.

[0023] 7. Based on correlation results and comparisons of positive / negative correlations, the system intelligently decides to delete redundant test items or adjust the test order, thereby forming a highly optimized test process. This greatly improves testing efficiency and saves testing resources. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the main steps of the method of the present invention; Figure 2 This is a schematic diagram of the structure of the present invention; Figure 3 This is a schematic diagram of one implementation method; Figure 4 This is a schematic diagram of another implementation method; The components include: 1. Power supply, 2. Industrial computer, 3. Test host, 4. Insulation withstand voltage tester, 5. High voltage relay board, 6. Product under test, 7. Busbar, and 4-1. Multi-tap transformer. Detailed Implementation

[0025] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are based on the technical solution of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments.

[0026] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0027] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "proximal," "distal," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Physical quantities in formulas, unless otherwise specified, should be understood as basic quantities in the International System of Units (SI), or derived quantities derived from basic quantities through mathematical operations such as multiplication, division, differentiation, or integration.

[0028] Furthermore, terms such as "horizontal," "vertical," and "sag" do not imply that components must be absolutely horizontal or suspended, but rather that they can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal relative to "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0029] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0030] An insulation test method for railway signaling products, such as Figure 1 As shown, it includes: Step S1: Obtain test reports for all products of the same model, and standardize the test results of all test items in the test reports as normal, borderline abnormal, abnormal, or severe abnormal; For test items whose original test results are qualitative, the test results of test items that represent normal (including normal and pass) are standardized as normal, and the test results of test items that represent abnormal (including abnormal and fail) are standardized as abnormal. For test items where the original test results are quantitative: The value is in the interval [a1G] min a2G max The test results of the test items within [ ] are standardized as normal, where a1 and a2 are the first and second coefficients, respectively, and G min and G max These are the upper and lower limits of the pre-configured normal range, respectively. Values ​​within the range [G] min ,a1G min ) or (a2G max G max The test results of the test items within [ ] are standardized as critical anomalies. The value is in the range [a3G] min G min ) or (G max a4G max The test results of the test items within [ ] are standardized as outliers, with a3 and a4 being the third and fourth coefficients, respectively. Values ​​less than a3G min or greater than a4G max The test results of the test items were standardized as severe anomalies.

[0031] In this embodiment, the first coefficient is 1.1, the second coefficient is 0.9, the third coefficient is 0.5, and the fourth coefficient is 1.5.

[0032] Furthermore, for a single-sided closed interval, such as a pre-configured normal interval of less than 5V, then Gmin G is 0 max The same method applies to 5V.

[0033] Step S2: Based on the standardized test results of each test item, calculate the anomaly correlation for each test item, including: Step S2-1: Remove test reports where all standardized test results for all test items are normal; Step S2-2: Generate a set of test items, and construct a test item pair from any two different test items in the set; Step S2-3: For each test item pair, iterate through all remaining test reports and calculate the positive correlation and negative correlation. The positive correlation represents the influence of the first test item on the second test item in the test item pair, and the negative correlation represents the influence of the second test item on the first test item in the test item pair.

[0034] The processing steps for the test item pairs in steps S2-3 include: Step S2-3-1: Initialize the first, second, and third count values ​​to 0, and read the first test report; Step S2-3-2: Determine whether the standardized test results of the two test items corresponding to the test item pair in the currently read test report are both normal. If yes, proceed to step S2-3-3; otherwise, proceed to step S2-3-4. Step S2-3-3: Determine if there are any untraversed test reports. If yes, read the next untraversed test report and return to step S2-3-2. Otherwise, execute step S2-3-7. Step S2-3-4: Determine whether any of the following conditions are met: If the standardized test result of the first test item in the test item pair is critically anomaly or anomaly, and the standardized test result of the second test item is anomaly. If the standardized test result of the first test item in the test item pair is anomalous or critically anomalous, and the standardized test result of the second test item is critically anomalous... If yes, then the second count value is incremented by 1, and step S2-3-5 is executed; otherwise, step S2-3-5 is executed directly. Step S2-3-5: Determine whether any of the following conditions are met: If the standardized test result of the second test item in the test item pair is critically anomaly or anomaly, and the standardized test result of the first test item is anomaly. If the standardized test result of the second test item in the test item pair is anomalous or critically anomalous, and the standardized test result of the first test item is critically anomalous. If yes, then the third count value is incremented by 1, and step S2-3-6 is executed; otherwise, step S2-3-6 is executed directly. Step S2-3-6: Increment the first count value by 1, and return to step S2-3-3; Step S2-3-7: Calculate the ratio of the second count value to the first count value as the positive correlation, and the ratio of the third count value to the first count value as the negative correlation.

[0035] Step S3: Based on the calculated correlation, simplify and rearrange the test items to obtain a quick test report template, including: Step S3-1: Select the first test item pair; Step S3-2: Determine whether the positive correlation of the currently selected test item pair is 1. If yes, proceed to step S3-3; otherwise, proceed to step S3-5. Step S3-3: Determine whether the inverse correlation of the currently selected test item pair is 1. If it is, delete the later test item in the test item pair. Otherwise, delete the second test item in the test item pair and execute step S3-4. The later test item is the test item that is later in the test order in the original test specification. Step S3-4: Determine if there are any untraversed test item pairs. If yes, select the next untraversed test item pair and return to step S3-2; otherwise, execute step S3-9. Step S3-5: Determine whether the inverse correlation of the currently selected test item pair is 1. If it is, delete the first test item in the test item pair and execute step S3-4. Otherwise, execute step S3-6. Step S3-6: Determine whether at least one of the positive correlation and negative correlation of the currently selected test item pair is greater than the pre-configured correlation threshold. If yes, proceed to step S3-7; otherwise, proceed to step S3-4. Step S3-7: Determine whether the positive correlation and negative correlation of the currently selected test item pair are equal. If yes, proceed to step S3-4; otherwise, proceed to step S3-8. Step S3-8: Determine whether the positive correlation is greater than the negative correlation. If yes, proceed to step S3-4. Otherwise, move the second test item in the test item pair before the first test item and proceed to step S3-4. Step S3-9: Generate a quick test report template based on the remaining test items and the sorting.

[0036] Generally, in this embodiment, the correlation threshold is 0.8.

[0037] In addition, this application also provides an insulation testing device for railway signaling products, such as... Figure 2 As shown, it includes a power supply 1, an industrial computer 2, a test host 3, an insulation withstand voltage tester 4, and a high-voltage relay board 5. The two signal interfaces of the industrial control computer 2 are respectively connected to one signal interface of the test host 3 and the signal interface of the insulation withstand voltage tester 4. The power input terminal of the insulation withstand voltage tester 4 is connected to the power supply 1, and the power output terminal is connected to the input terminal of the high-voltage relay board 5. The output terminal of the high-voltage relay board 5 is connected to each electrical interface of the product under test 6 through connectors. The other signal interface of the test host 3 is connected to the signal interface of the product under test 6, such as... Figure 3 and Figure 4 As shown, the high-voltage relay board 5 integrates multiple first relays, and each first relay is connected to the electrical interface of the product under test 6 through a connector.

[0038] By setting up the insulation withstand voltage tester 4, multiple different voltages can be generated, allowing for the measurement of different voltage amplitudes of the product under test, thus improving testing efficiency.

[0039] In some embodiments, the industrial computer 2 is connected to the insulation withstand voltage tester 4 via a serial port, and the industrial computer 2 and the test host 3 are connected via a PCI communication interface. Of course, in other embodiments, they can also be directly connected via cables.

[0040] In this application, the number of first relays is consistent with and corresponds one-to-one with the number of electrical interfaces under test of product 6.

[0041] In almost all embodiments, the insulation withstand voltage tester 4 includes an inverter, a multi-tap transformer, and a first switching device. The input terminal of the inverter is connected to the output terminal of the power supply 1, and the output terminal is connected to the input terminal of the multi-tap transformer. The multiple output terminals of the multi-tap transformer are respectively connected to the multiple input terminals of the first switching device. The output terminal of the first switching device is connected to the input terminals of each first relay of the high-voltage relay board 5. The control signal interface of the first switching device is connected to the industrial control computer 2.

[0042] In one embodiment, such as Figure 4 As shown, the first switching device is a single-pole multi-throw switch, specifically... Figure 3 K3 in the middle.

[0043] In this embodiment, such as Figure 3As shown, the switching device includes multiple second relays. The number of second relays is consistent with the number of output terminals of the multi-tap transformer and corresponds one-to-one. The input terminal of each second relay is connected to the multi-tap transformer, and the output terminal is connected to the input terminal of all first relays.

[0044] Generally, in this embodiment, power supply 1 is an uninterruptible power supply, and industrial control computer 2 is a PC.

[0045] Figure 3 and Figure 4 In the diagram, K1-1 to K1-5 are all first relays. Figure 3 In the middle, K2-1 to K2-4 are the second relays, with Figure 3 The present embodiment illustrates the working principle of this application.

[0046] Because a multi-tap transformer is used, under stable power supply 1, different taps can always maintain a proportional voltage amplitude output. Each second relay is controlled by an industrial control computer. The industrial control computer can independently control the on / off state of each second relay. Specifically, a set of output pins of the industrial control computer is connected to one end of the coil of each second relay, and the other end of the coil of each second relay is grounded through a grounding resistor. However, it should be noted that under the control of the industrial control computer, only one second relay can be turned on at the same time. This part can be implemented by writing a program in the industrial control computer. Since this part of the program is existing technology, it will not be described in detail. In addition, the industrial control computer 2 is also connected to the coil of each first relay. Specifically, another set of output pins of the industrial control computer 2 is connected to one end of the coil of each first relay, and the other end of the coil of each first relay is grounded through a grounding resistor. Unlike the control logic of the second relays, two or more first relays can be turned on at the same time.

[0047] Based on this, the industrial control computer can control the first and second relays to apply different voltages to each measuring point of the product under test, and in this state, the test host 3 can test whether the function of the product under test is normal.

[0048] Furthermore, since the test host 3 can be an existing test host 3, whose functions, structure and model are all existing technologies, it will not be described in detail.

[0049] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method of testing the insulation of a railway signal product, characterized in that The application relates to a method for generating a fast test report template. The method comprises the following steps: Step S1: obtaining test reports of all products of the same type, and standardizing test results of all test items in the test reports into normal, critical abnormality, abnormality or serious abnormality; Step S2: calculating abnormality correlations of the test items based on the test results of the standardized test items; 2. A method of testing insulation of a railway signal product according to claim 1, characterized in that Step S3: simplifying and rearranging the test items based on the calculated correlations to obtain a fast test report template. In the step S1, for a test item with a qualitative original test result, the test result of the test item representing normality, including normal and pass, is standardized into normal, and the test result of the test item representing abnormality, including abnormal and fail, is standardized into abnormal; standardizing a test result of a test item having a value in an interval [a1G min ,a2G max ] to normal, where a1 and a2 are a first coefficient and a second coefficient, respectively, and G min and G max are upper and lower limits of a preconfigured normal interval, respectively, The test results of the test items having values in the interval [G min ,a1G min ) or (a2G max ,G max ] are standardized as critical abnormalities, a3G min ,a4G min ) or (G max ,a4G max ] is standardized as an anomaly, a3 and a4 being a third coefficient and a fourth coefficient, respectively, Test results for test items with values less than a3G min or greater than a4G max are standardized as severely abnormal.

3. A method of testing insulation of a railway signal product according to claim 2, characterized in that For a test item with a quantitative original test result:

4. The method of claim 2, wherein the signal product is a railroad signal product. The first coefficient is 1.1, and the second coefficient is 0.

9.

5. The method of claim 1, wherein the railway signal product insulation test is a 1.5 kV AC insulation test. The third coefficient is 0.5, and the fourth coefficient is 1.

5. The step S2 comprises the following steps: Step S2-1: removing a test report with the standardized test results of all test items being normal; Step S2-2: generating a test item set, and constructing a test item pair with any two different test items in the test item set; 6. A method of testing insulation of a railway signal product according to claim 5, characterized in that Step S2-3: traversing all remaining test reports to calculate a positive correlation and a reverse correlation for each test item pair, wherein the positive correlation represents the influence of a first test item on a second test item in the test item pair, and the reverse correlation represents the influence of the second test item on the first test item in the test item pair. The processing procedure of the test item pair in the step S2-3 comprises the following steps: Step S2-3-1: initializing a first count value, a second count value and a third count value as 0, and reading a first test report; Step S2-3-2: judging whether the standardized test results of the two test items corresponding to the test item pair in the currently read test report are both normal, if yes, executing step S2-3-3, otherwise, executing step S2-3-4; Step S2-3-3: judging whether there is an untraversed test report, if yes, reading a next untraversed test report and returning to step S2-3-2, otherwise, executing step S2-3-7; Step S2-3-4: judging whether any of the following conditions is met: if the standardized test result of the first test item in the test item pair is critical abnormality or abnormality, and the standardized test result of the second test item is abnormality, if the standardized test result of the first test item in the test item pair is abnormality or serious abnormality, and the standardized test result of the second test item is serious abnormality, if yes, the second count value is increased by 1, and step S2-3-5 is executed, otherwise, step S2-3-5 is directly executed; Step S2-3-5: judging whether any of the following conditions is met: if the standardized test result of the second test item in the test item pair is critical abnormality or abnormality, and the standardized test result of the first test item is abnormality, if the standardized test result of the second test item in the test item pair is abnormality or serious abnormality, and the standardized test result of the first test item is serious abnormality, If yes, the third count value is incremented by 1, and step S2-3-6 is executed, otherwise, step S2-3-6 is directly executed; Step S2-3-6: the first count value is incremented by 1, and the step S2-3-3 is returned; Step S2-3-7: the ratio of the second count value and the first count value is calculated as the positive correlation, and the ratio of the third count value and the first count value is calculated as the inverse correlation.

7. A method of testing insulation of a railway signal product according to claim 5, characterized in that The step S3 comprises: Step S3-1: selecting a first test item pair; Step S3-2: judging whether the positive correlation of the currently selected test item pair is 1, if yes, step S3-3 is executed, otherwise, step S3-5 is executed; Step S3-3: judging whether the inverse correlation of the currently selected test item pair is 1, if yes, the later test item in the test item pair is deleted, otherwise, the second test item in the test item pair is deleted, and step S3-4 is executed, wherein the later test item is the test item in the original test specification in the test order; Step S3-4: judging whether there is an untraversed test item pair, if yes, the next untraversed test item pair is selected, and the step S3-2 is returned, otherwise, step S3-9 is executed; Step S3-5: judging whether the inverse correlation of the currently selected test item pair is 1, if yes, the first test item in the test item pair is deleted, and step S3-4 is executed, otherwise, step S3-6 is executed; Step S3-6: judging whether at least one of the positive correlation and the inverse correlation of the currently selected test item pair is greater than the preconfigured correlation threshold, if yes, step S3-7 is executed, otherwise, step S3-4 is executed; Step S3-7: judging whether the positive correlation and the inverse correlation of the currently selected test item pair are equal, if yes, step S3-4 is executed, otherwise, step S3-8 is executed; Step S3-8: judging whether the positive correlation is greater than the inverse correlation, if yes, step S3-4 is executed, otherwise, the second test item in the test item pair is adjusted before the first test item, and step S3-4 is executed; Step S3-9: generating a quick test report template based on the remaining test items and the order.

8. A method of testing insulation of a railway signal product according to claim 7, characterized in that The correlation threshold is 0.

8.

9. A railway signal product insulation testing apparatus comprising a memory, a processor, and a program stored in the memory, wherein the program comprises the steps of: The processor implements the method of any one of claims 1-8 when the program is executed.

10. A storage medium having stored thereon a program, characterized by The program is executed to implement the method of any one of claims 1-8.

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