Cable performance test method, device and equipment and storage medium

Abstract

The invention provides a cable performance test method, device and equipment and a storage medium, and the method comprises the steps: carrying out the collection and judgment of the electrical safety parameters of a to-be-tested cable according to a first-level full-inspection instruction, and generating a first judgment result; if the first judgment result passes all items and the to-be-tested cable meets a second-level sampling inspection triggering condition, generating a frequency sweeping test signal based on the structure parameters to perform a shielding effectiveness quantitative test on the to-be-tested cable, and generating a shielding effectiveness spectrum; and according to amplitude difference judgment between the shielding effectiveness spectrum and a standard shielding effectiveness spectrum, a field intensity scanning module is driven to carry out positioning diagnosis, and a fault coordinate set is generated. The test resources are precisely projected to the high-risk sample according to the judgment result of the first-level detection, the abnormal frequency spectrum features needing deep diagnosis can be automatically identified, the control instruction is automatically generated according to the abnormal frequency spectrum features to drive the diagnosis equipment to position the fault point, the overall detection efficiency is guaranteed, and meanwhile the detection efficiency is improved. And the accuracy and timeliness of defect interception are obviously improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cable performance testing, and in particular to a cable performance testing method, device, equipment and storage medium. BACKGROUND

[0002] In view of the current testing requirements of the shielding performance of new energy vehicle cables, the existing technology has formed a two-stage process including electrical safety preliminary inspection and sampling shielding performance detailed inspection. However, in the actual large-scale production and quality control scenarios, a long-standing core contradiction is that the fixed proportion sampling test method commonly used to balance efficiency and cost cannot dynamically perceive and respond to the real-time fluctuation of the quality risk state of the production line bundle. For example, when the shielding performance of a batch of cables is in the gray zone of "critical failure" due to fluctuations in raw materials or process parameters, the fixed sampling scheme is likely to miss the potential defect samples, resulting in risk omissions, and the entire batch of cables is mistakenly released. This not only poses a risk to the electromagnetic compatibility of the subsequent vehicle system, but also may cause supply chain disruptions and huge costs due to large-scale rectification. SUMMARY

[0003] The present application provides a cable performance testing method, device, equipment and storage medium, which is used to solve the problem that the fixed proportion sampling test method in the related art cannot dynamically perceive and respond to the real-time fluctuation of the quality risk state of the production line bundle.

[0004] The first aspect of the present application provides a cable performance testing method, which comprises: generating a first-level full inspection instruction, a second-level sampling inspection trigger condition and a third-level diagnosis trigger threshold according to the structure parameters of a to-be-tested cable; collecting and determining the electrical safety parameters of the to-be-tested cable according to the first-level full inspection instruction, and generating a first determination result; if the first determination result is passed in all aspects and the to-be-tested cable meets the second-level sampling inspection trigger condition, performing shielding effectiveness quantitative testing on the to-be-tested cable based on the structure parameters to generate a shielding effectiveness spectrum; comparing the amplitudes between the shielding effectiveness spectrum and a standard shielding effectiveness spectrum, and if the obtained amplitude difference exceeds the third-level diagnosis trigger threshold, driving a field scanning module to perform positioning diagnosis and generate a fault coordinate set.

[0005] Optionally, in the first implementation manner of the first aspect of the present application, the step of generating a first-level full inspection instruction, a second-level sampling inspection trigger condition and a third-level diagnosis trigger threshold according to the structure parameters of a to-be-tested cable comprises: calling structural parameters associated with the model identifier of the to-be-tested cable from a specification database, the structural parameters including a rated voltage, a nominal cross section, a shielding layer type, and a characteristic impedance; querying, according to the rated voltage and the nominal cross section, a voltage level of a withstand voltage test and a reference threshold of an insulation resistance test from an electrical safety test reference table; generating, based on the voltage level of the withstand voltage test and the reference threshold of the insulation resistance test, the first-level full inspection instruction containing a specific test parameter combination; determining, based on production batch information of the to-be-tested cable and the shielding layer type, the second-level sampling trigger condition; determining, according to the characteristic impedance and the shielding layer type, a corresponding standard shielding effectiveness spectrum from a preset shielding effectiveness database and superimposing a preset tolerance offset to determine the third-level diagnostic trigger threshold.

[0006] Optionally, in the second implementation manner of the first aspect of the present application, the step of determining, based on the production batch information of the to-be-tested cable and the shielding layer type, the second-level sampling trigger condition, comprises: extracting, according to the production batch information of the to-be-tested cable, a second determination result of the first N detection batches of the corresponding batch that have completed detection, and determining a corresponding first pass rate based on the second determination result; comparing the real-time cumulative first-time pass rate with a preset pass rate control interval, and determining a basic trigger sample size according to a comparison result and the shielding layer type; generating a sampling sequence based on a serial number rule of the production batch information and the basic trigger sample size; encapsulating the sampling serial number and a preset trigger execution logic to generate the second-level sampling trigger condition.

[0007] Optionally, in the third implementation manner of the first aspect of the present application, the step of collecting and determining, according to the first-level full inspection instruction, the electrical safety parameter of the to-be-tested cable to generate a first determination result, comprises: parsing the first-level full inspection instruction to generate a parallel test instruction set for insulation performance, loop conduction performance, and key component geometric dimensions; synchronously applying a test excitation and collecting multi-channel response data of the to-be-tested cable according to the parallel test instruction set; converting the multi-channel response data into a quantitative parameter set composed of an insulation resistance value, a loop resistance value, a connector size measured value, and a cable outer diameter measured value based on a preset conversion rule; The parameters in the set of quantization parameters are compared with qualified threshold values predefined in the first level full inspection instruction one by one, and the first determination result is generated according to all comparison results.

[0008] Optionally, in a fourth implementation manner of the first aspect of the present application, the method further comprises: determining a second pass rate of the first determination result set in the Mth detection batch according to historical detection data corresponding to the production batch information; if the second pass rate is lower than a first preset threshold value, setting the second level sampling inspection trigger condition as full inspection of all individuals in the current batch; if the second pass rate is higher than or equal to the first preset threshold value and lower than a second preset threshold value, generating a sampling serial number list of the current batch according to a preset sampling scheme; when the serial number of the cable to be tested falls into the sampling serial number list, it is determined that the second level sampling inspection trigger condition is met.

[0009] Optionally, in a fifth implementation manner of the first aspect of the present application, the step of generating a shielding effectiveness spectrum based on the structural parameters to generate a shielding effectiveness spectrum, comprises: extracting characteristic impedance, nominal cross section and shielding layer type from the structural parameters, determining an internal resistance matching value of the sweep signal source according to the characteristic impedance, calculating a maximum test current limit value according to the nominal cross section, and selecting a corresponding sweep frequency band from a preset test frequency band mapping table according to the shielding layer type; based on the sweep frequency band, the internal resistance matching value and the maximum test current limit value, constructing a sweep signal parameter configuration table; applying test current signals of each frequency point to the high-voltage conductor core of the cable to be tested in turn according to the sweep signal parameter configuration table, and synchronously collecting induced voltage values corresponding to each frequency point to obtain induced voltage values of each frequency point; determining an induced voltage value sequence under unit current according to the induced voltage values of each frequency point and the injection current amplitude of the corresponding frequency point; associating and mapping the induced voltage value sequence with the frequency sequence to generate a shielding effectiveness spectrum.

[0010] Optionally, in a sixth implementation manner of the first aspect of the present application, the step of comparing the amplitude between the feature frequency points of the shielding effectiveness spectrum with the standard shielding effectiveness spectrum, and driving the field intensity scanning module to perform positioning diagnosis to generate a fault coordinate set if the obtained amplitude difference value exceeds the third level diagnosis trigger threshold value, comprises: The measured amplitudes of multiple characteristic frequency points are extracted from the shielding effectiveness spectrum, and the standard amplitudes of the corresponding characteristic frequency points are extracted from the standard shielding effectiveness spectrum. The amplitude difference of each characteristic frequency point is calculated. If an amplitude difference exceeding the third-level diagnostic trigger threshold is detected, a corresponding diagnostic instruction is generated and the characteristic frequency point where the amplitude difference exceeds the third-level diagnostic trigger threshold is set as the test frequency point. According to the diagnostic command, the field strength scanning module is controlled to perform a three-dimensional grid scan on the cable under test and collect the spatial field strength value of the frequency point under test. Cluster analysis is performed on the spatial field strength values ​​to extract continuous regions of field strength anomalies and calculate the corresponding geometric center coordinates to obtain a set of fault coordinates.

[0011] A second aspect of this application provides a cable performance testing apparatus, which is used to implement a cable performance testing method. The cable performance testing apparatus includes: The generation module is used to generate a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold based on the structural parameters of the cable under test. The judgment module is used to collect and judge the electrical safety parameters of the cable under test according to the first-level full inspection instruction, and generate a first judgment result; The testing module is used to generate a frequency sweep test signal based on the structural parameters to perform a shielding effectiveness quantitative test on the cable under test if the first judgment result passes all items and the cable under test meets the second-level sampling triggering conditions, and generate a shielding effectiveness spectrum. The positioning module is used to compare the amplitude of the shielding effectiveness spectrum with the standard shielding effectiveness spectrum at characteristic frequency points. If the amplitude difference exceeds the third-level diagnostic trigger threshold, the field strength scanning module is driven to perform positioning diagnosis and generate a fault coordinate set.

[0012] A third aspect of this application provides an electronic device, including a memory and a processor, wherein the processor is configured to execute a computer program stored in the memory, and when the processor executes the computer program, it implements the steps of the cable performance testing method provided in the first aspect of this application.

[0013] The fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it implements the steps of the cable performance testing method provided in the first aspect of this application.

[0014] In summary, the cable performance testing method, apparatus, equipment, and storage medium provided in this application generate a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold based on the structural parameters of the cable under test. The electrical safety parameters of the cable under test are collected and judged according to the first-level full inspection command, generating a first judgment result. If all items in the first judgment result pass and the cable under test meets the second-level sampling inspection trigger condition, a frequency sweep test signal is generated based on the structural parameters to perform a quantitative test on the shielding effectiveness of the cable under test, generating a shielding effectiveness spectrum. The amplitude of the shielding effectiveness spectrum is compared with the standard shielding effectiveness spectrum at characteristic frequency points. If the amplitude difference exceeds the third-level diagnostic trigger threshold, the field strength scanning module is driven to perform location diagnosis, generating a fault coordinate set. This application precisely targets test resources to high-risk samples based on the judgment result of the first-level detection, automatically identifying abnormal spectral characteristics requiring in-depth diagnosis, and automatically generating control commands to drive the diagnostic equipment to locate fault points. While ensuring overall detection efficiency, it significantly improves the accuracy and timeliness of defect interception. Attached Figure Description

[0015] Figure 1 A flowchart illustrating the cable performance testing method provided in this application embodiment; Figure 2 This is a schematic diagram of the program modules of the cable performance testing device provided in the embodiments of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0016] To make the inventive objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0017] To address the problem that fixed-ratio sampling testing methods in related technologies cannot dynamically sense and respond to the real-time fluctuations in the quality risk status of production line bundles, embodiments of this application provide a cable performance testing method, such as... Figure 1 This is a flowchart illustrating the cable performance testing method provided in this embodiment. The cable performance testing method includes the following steps: Step 110: Generate the first-level full inspection command, the second-level sampling inspection trigger condition, and the third-level diagnostic trigger threshold based on the structural parameters of the cable under test.

[0018] Specifically, based on the structural parameters of the cable under test, a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold are generated. This step uses the cable's rated voltage, conductor cross-section, shielding structure, and electrical characteristics as basic inputs. By matching these with a pre-established specification database and test rules, the basic constraints required for subsequent testing are determined. The first-level full inspection command defines the testing scope and judgment criteria for electrical safety-related items; the second-level sampling inspection trigger condition describes whether further performance testing logic is needed at the production batch level; and the third-level diagnostic trigger threshold defines the degree of shielding effectiveness anomaly and the trigger boundary for location analysis, thereby achieving adaptive configuration of the testing process under different quality states.

[0019] Step 120: Collect and judge the electrical safety parameters of the cable under test according to the first-level full inspection instruction, and generate the first judgment result.

[0020] Specifically, by parsing the first-level full inspection command, parallel test tasks targeting insulation, continuity, and geometric dimensions are decomposed, and control signals are sent to the corresponding test equipment. The test equipment simultaneously applies excitations such as DC high voltage and test current, and collects multi-channel response data such as leakage current, voltage drop, and visual images through sensors. Based on preset physical conversion relationships, such as converting voltage and current to resistance values ​​using Ohm's law, and extracting key dimensions through image processing algorithms, the raw response data is converted into quantitative parameters such as insulation resistance, loop resistance, measured connector dimensions, and measured cable outer diameter. Finally, each quantitative parameter is compared one by one with the predefined pass / fail thresholds in the full inspection command. If all comparisons pass, a first judgment result representing "full pass" is generated; otherwise, the process may terminate or be marked as abnormal.

[0021] Step 130: If all the first judgment results pass and the cable under test meets the second-level sampling triggering conditions, then generate a sweep frequency test signal based on the structural parameters to perform a quantitative test on the shielding effectiveness of the cable under test and generate a shielding effectiveness spectrum.

[0022] Specifically, after all the initial judgment results are passed and the cable under test meets the second-level sampling inspection triggering conditions, a swept-frequency test signal is generated based on the structural parameters. The shielding effectiveness is then quantitatively tested, and a shielding effectiveness spectrum is generated. This step configures the frequency range, excitation amplitude, and impedance matching relationship of the swept-frequency signal to ensure that the test signal is consistent with the cable's structural characteristics, acquiring the induced response generated by the cable's shielding structure under different frequency conditions. By normalizing the relationship between the induced quantity and the excitation quantity at each frequency point, a spectral result reflecting the shielding performance's frequency variation characteristics is constructed.

[0023] Step 140: Compare the amplitudes of the shielding effectiveness spectrum and the standard shielding effectiveness spectrum at characteristic frequency points. If the amplitude difference exceeds the third-level diagnostic trigger threshold, drive the field strength scanning module to perform location diagnosis and generate a fault coordinate set.

[0024] Specifically, the generated shielding effectiveness spectrum is compared with the standard shielding effectiveness spectrum at characteristic frequency points. When the amplitude difference at a corresponding frequency point exceeds the third-level diagnostic trigger threshold, the field strength scanning module is driven to perform location diagnosis and generate a fault coordinate set. This process selects representative frequency points for shielding performance, determines the degree of deviation between actual performance and standard requirements, and initiates spatial scanning when the deviation exceeds the limit. It collects and analyzes the electromagnetic field distribution at abnormal frequencies, and obtains coordinate information that can characterize the location of potential shielding defects through aggregation and geometric positioning of abnormal field strength areas. This results in the output of a fault coordinate set that accurately indicates the location of shielding defects or poor connections.

[0025] In one optional implementation of this embodiment, the steps of generating a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold based on the structural parameters of the cable under test include: retrieving structural parameters associated with the model identifier of the cable under test from a specification database; the structural parameters include rated voltage, nominal cross-section, shielding layer type, and characteristic impedance; querying the voltage level for withstand voltage testing and the reference threshold for insulation resistance testing from an electrical safety test benchmark table based on the rated voltage and nominal cross-section; generating a first-level full inspection command containing a specific combination of test parameters based on the voltage level for withstand voltage testing and the reference threshold for insulation resistance testing; determining the second-level sampling inspection trigger condition based on the production batch information and shielding layer type of the cable under test; and determining the third-level diagnostic trigger threshold by matching the corresponding standard shielding effectiveness spectrum from a preset shielding effectiveness database and superimposing a preset tolerance offset based on the characteristic impedance and shielding layer type.

[0026] In this embodiment, an association is established between the model identifier carried by the cable under test and the specification database. The specification database is a type of structured storage unit used to store the physical and electrical properties of different cable models determined during the design phase. Structural parameters describe the basic characteristics of the cable under rated operating conditions. Rated voltage characterizes the highest operating voltage level the cable can withstand during long-term operation; nominal cross-section reflects the design value of the conductor's cross-sectional area, thus affecting current carrying capacity and heating characteristics; shielding type distinguishes different structural forms such as braided shielding, wrapped shielding, or composite shielding; and characteristic impedance describes the ratio between voltage and current under high-frequency signal transmission conditions. After obtaining the rated voltage and nominal cross-section, the control parameters required for withstand voltage testing and insulation resistance testing are determined by querying the electrical safety test benchmark table. The electrical safety test benchmark table is a reference table established according to cable safety levels. The voltage level for withstand voltage testing limits the test voltage amplitude applied between the conductor and shielding layer during the test to verify the reliability of the insulation structure under conditions higher than operating conditions; the reference threshold for insulation resistance testing specifies the minimum allowable resistance value under specific voltage conditions to determine whether the insulation material has deteriorated or has defects. By using rated voltage and nominal cross-section as index conditions, the corresponding test level and threshold range can be accurately located in the benchmark table. Based on this, the obtained withstand voltage test level and insulation resistance test reference threshold are combined to form a first-level full inspection instruction for constraining the output parameters and judgment criteria of the testing equipment. This instruction exists in the form of a parameter set, clearly specifying the test voltage amplitude, application time, and lower limit of acceptance, making electrical safety testing deterministic and repeatable during execution. For example, in the production scenario of high-voltage cables for new energy vehicles, when the specification database returns structural parameters of a rated voltage of 1000V and a nominal cross-section of 50mm², the generated full inspection instruction will limit the withstand voltage test voltage to a specified range higher than the rated value, and simultaneously set an insulation resistance judgment lower limit matching the cross-section level. After completing the configuration of the first-level full inspection instruction, the second-level sampling inspection trigger conditions are determined by combining the production batch information and shielding layer type of the cable under test. The production batch information describes the time sequence and process consistency of the cable during manufacturing, while the shielding layer type directly affects the shielding structure's ability to suppress external electromagnetic interference. By associating historical test results within the same batch with the current shielding structure, it is possible to set the conditions under which expanded testing coverage is required. For example, in the same batch of wiring harnesses for new energy vehicle power systems, if cables with braided shielding structures show signs of shielding effectiveness fluctuations, the sampling trigger condition will be set to perform higher-frequency performance tests on subsequent products in the same batch.Based on the characteristic impedance and shielding layer type, a corresponding standard shielding effectiveness spectrum is matched from a preset shielding effectiveness database. A preset tolerance offset is then superimposed on this spectrum to determine the third-level diagnostic trigger threshold. The shielding effectiveness spectrum describes the cable's ability to attenuate electromagnetic fields under different frequency conditions. The characteristic impedance determines the baseline shape of the spectrum, while the shielding layer type determines its performance characteristics in the high-frequency or low-frequency range. The tolerance offset reflects performance fluctuations within the manufacturing allowable range. When the measured result exceeds this offset range, an abnormal risk can be identified. Taking high-voltage cables for new energy vehicles as an example, when the allowable offset range of the standard shielding effectiveness spectrum at a specific frequency point is ±3dB, the third-level diagnostic trigger threshold is based on this range, serving as the starting criterion for location analysis, thereby achieving continuous control from parameter calling to risk identification.

[0027] In one optional implementation of this embodiment, the step of determining the second-level sampling inspection trigger condition based on the production batch information and shielding layer type of the cable under test includes: extracting the second judgment results of the first N tested batches that have completed testing according to the production batch information of the cable under test, and determining the corresponding first pass rate based on the second judgment results; comparing the real-time cumulative first pass rate with a preset pass rate control interval, and determining the basic trigger sample size according to the comparison result and the shielding layer type; generating a sampling sequence based on the serial number rule of the production batch information and the basic trigger sample size; and encapsulating the sampling sequence number and the preset trigger execution logic to generate the second-level sampling inspection trigger condition.

[0028] In this embodiment, during the process of dynamically determining the sampling trigger conditions based on the production status, the historical results of completed tests are first extracted by associating them with the production batch information of the cable under test. Production batch information identifies a set of products formed within the same production window, containing continuous process conditions and material source characteristics. Using this batch identifier, the second judgment results of the first N test batches adjacent to its time sequence can be retrieved from the test records, where N is an integer greater than 0. The second judgment result characterizes the pass / fail status of the cable in the quantitative testing stage of shielding effectiveness, reflecting the performance level of the cable shielding structure under actual frequency sweep test conditions. By statistically analyzing the number of pass results in the first N test batches against the total number of tests, a corresponding first pass rate is obtained. The first pass rate characterizes the degree to which shielding performance remains stable under the current production status. After obtaining the first pass rate, it is compared with a pre-set pass rate control range. The pass rate control range describes the upper and lower boundaries of allowable fluctuations in production quality, and its numerical range is set during the system configuration stage based on target reliability requirements. When the real-time accumulated first pass rate falls into different ranges, it reflects different levels of production status: stable, fluctuating, or with increased risk. By combining the structural differences in shielding layer types, the pass rate comparison results are further constrained. Shielding layer type is used to differentiate the sensitivity of cable shielding structures to process fluctuations; for example, shielding structures with higher braiding density have different tolerances for production deviations compared to wrapped structures. By jointly determining the pass rate status and shielding layer type, a basic trigger sample size for subsequent sampling control is determined. This sample size limits the number of cables requiring focused attention in the current batch. After determining the basic trigger sample size, a sampling sequence is generated based on the serial number rules defined in the production batch information. The serial number rules describe the numbering method of cables during the production process, maintaining a correspondence with the production cycle and workstation sequence. By mapping the basic trigger sample size to this serial number rule, a sampling sequence set covering the entire production batch can be generated, making the selected cables representative in terms of time and spatial distribution. For example, in the continuous production scenario of high-voltage wiring harnesses for new energy vehicles, when the basic trigger sample size is set to a fixed quantity, several numbers distributed at intervals can be selected based on the increasing sequence number relationship, thereby avoiding sampling concentrated in a single production period. After generating the sampling sequence number, the sampling sequence number and the preset trigger execution logic are encapsulated to form the second-level sampling inspection trigger condition. The trigger execution logic describes the detection behavior to be executed when the actual sequence number of the cable under test matches the set of sampling sequence numbers. Its content includes whether to enter the shielding effectiveness quantitative detection process and the corresponding detection resource invocation method. Through this encapsulation, the second-level sampling inspection trigger condition not only includes the specific sampling object identifier but also the corresponding execution constraints, enabling the detection system to achieve immediate response to risk states without changing the production rhythm.In the same new energy vehicle application scenario, when the pass rate of shielding performance in a production batch shows a downward trend, this trigger condition will automatically expand the sampling coverage, thereby timely capturing potential shielding failure hazards within the batch.

[0029] In one optional implementation of this embodiment, the step of collecting and judging the electrical safety parameters of the cable under test according to the first-level full inspection command and generating a first judgment result includes: parsing the first-level full inspection command to generate a set of parallel test commands for insulation performance, circuit continuity performance and key component geometry; simultaneously applying test excitation and collecting multi-channel response data of the cable under test according to the parallel test command set; converting the multi-channel response data into a set of quantitative parameters consisting of insulation resistance value, circuit resistance value, measured connector size value and measured cable outer diameter value based on preset conversion rules; comparing each parameter in the set of quantitative parameters with the predefined pass threshold in the first-level full inspection command, and generating a first judgment result based on all comparison results.

[0030] In this embodiment, during the electrical safety testing process, the first-level full-inspection instructions are parsed to extract the parameters used to constrain the testing behavior. The first-level full-inspection instructions exist in the form of structured instruction units, which include excitation configurations, acquisition channel allocations, and judgment boundaries for different testing objects. By parsing the instruction content, parallel test instruction sets can be generated, respectively acting on insulation performance, loop continuity performance, and key component geometry. Insulation performance characterizes the isolation capability between the cable conductor and the shielding layer or outer sheath; its detection relies on sensing leakage current under specified voltage conditions. Loop continuity performance reflects the continuity and connection reliability within the conductor; its detection relies on acquiring the voltage and current relationship between the conductor's two ends. Key component geometry describes whether the connector and cable shape meets assembly requirements; its detection relies on acquiring physical dimension signals. The generation of parallel test instruction sets keeps different testing objects synchronized in the time dimension, avoiding state shifts introduced by sequential testing. After the parallel test instruction sets take effect, corresponding test excitations are synchronously applied to the cable under test, and multi-channel response data is acquired. Test stimuli are used to excite the electrical or physical response of cables under controlled conditions. These stimuli can take the form of applied DC or AC voltage, current, and size-sensing signals. Multi-channel response data is used to record the voltage, current, or displacement changes generated by the cable under different detection channels, with each channel corresponding one-to-one with the parallel test instruction set. Synchronous acquisition ensures that the data used for insulation, continuity, and size detection are in the same time state, thereby improving the comparability of test results. For example, in the testing scenario of high-voltage wiring harnesses in new energy vehicles, the conductor's circuit continuity and connector assembly dimensions are recorded simultaneously while it is subjected to withstand voltage excitation, avoiding errors introduced by delays in single-item testing. After completing the multi-channel response data acquisition, the response data is processed according to preset conversion rules to form a set of quantifiable parameters that can be used for judgment. Conversion rules describe the correspondence between the original signals and physical quantities. For example, by converting the voltage and current acquisition values, insulation resistance and circuit resistance values ​​are obtained; by calibrating the size-sensing signals, the measured values ​​of connector dimensions and cable outer diameter are obtained. Insulation resistance values ​​measure the impedance level of the insulation structure under test conditions, while loop resistance values ​​measure the continuity of the conductor path. Measured connector dimensions and cable outer diameters measure whether the assembly interface and external structure meet design constraints. After processing using conversion rules, the multi-source response data are uniformly transformed into a set of parameters with clear physical meaning. After obtaining the quantified parameter set, each parameter is compared item by item with the predefined pass thresholds in the first-level full inspection instruction. The pass thresholds limit the allowable value range for each test item, and their values ​​are derived from the aforementioned electrical safety test standards and structural design requirements. When a parameter exceeds the corresponding threshold range, it indicates that the cable under test has a deviation risk in that test dimension.By summarizing the comparison results of all parameters in the quantified parameter set, a first judgment result can be generated to characterize whether the cable under test meets the requirements of electrical safety and structural integrity as a whole. In the application scenario of new energy vehicles, when the insulation resistance value and the loop resistance value are both within the limited range, and the measured values ​​of the connector and cable outer diameter meet the assembly design requirements, the first judgment result is confirmed as a pass, providing a preliminary guarantee for shielding effectiveness testing.

[0031] In one optional implementation of this embodiment, the second pass rate of the first judgment result set in the Mth test batch is determined based on the historical test data corresponding to the production batch information; if the second pass rate is lower than the first preset threshold, the second-level sampling inspection trigger condition is set to perform full inspection on all individuals in the current batch; if the second pass rate is higher than or equal to the first preset threshold and lower than the second preset threshold, the sampling sequence number list of the current batch is generated according to the preset sampling plan; when the serial number of the cable to be tested falls into the sampling sequence number list, it is determined that the second-level sampling inspection trigger condition is met.

[0032] In this embodiment, during the process of adjusting the sampling coverage based on production status, historical inspection data is first aggregated and analyzed based on production batch information to determine the second pass rate of the first judgment result set in the Mth inspection batch, where M is an integer greater than 0. Production batch information is used to identify a set of cables formed within the same production cycle, ensuring consistency in raw material sources, equipment status, and process parameters among the products within that set. Historical inspection data records the judgment status of each cable within the corresponding batch after the first-level full inspection. The first judgment result set consists of multiple pass or fail judgment markers. By statistically analyzing the number of passes in the Mth inspection batch against the total number of inspections in that batch, the second pass rate is obtained. This pass rate reflects the degree to which electrical safety and structural integrity remain stable under current production conditions.

[0033] After obtaining the second pass rate, it is compared with a pre-set first preset threshold. The first preset threshold describes the minimum acceptable boundary for production quality, and its value is determined during the system configuration phase based on risk control requirements. When the second pass rate is lower than this threshold, it indicates a relatively concentrated number of non-conformities in the current production batch, and the production status is in a significantly fluctuating range. In this case, the trigger condition for the second-level sampling inspection is directly set to perform a full inspection on all individuals in the current batch, ensuring that every cable under test enters the subsequent performance testing process, thereby preventing potential defects from being released due to insufficient sampling coverage. For example, in the production scenario of high-voltage wiring harnesses for new energy vehicles, when multiple insulation or dimensional defects fail in a certain inspection batch, the second pass rate drops below the preset lower limit, triggering further inspection of all wiring harnesses in that batch. When the second pass rate is higher than or equal to the first preset threshold but lower than the second preset threshold, the production status is judged to have some fluctuations but has not yet reached a level of complete loss of control. The second preset threshold describes the upper bound of the quality status tending to stabilize, and it, together with the first preset threshold, constitutes the pass rate control range. Within this range, to balance testing efficiency and risk control, a sampling sequence list for the current batch is generated according to a pre-set sampling plan. The sampling plan describes the proportion and distribution of individuals to be included in the testing for a given batch size, and its content is consistent with the serial number rules of the production batch. By selecting cable serial numbers within a batch according to predetermined intervals or positional relationships, a sampling sequence list covering different production periods can be formed, thereby improving the representativeness of the sampling results for the overall batch status. After the sampling sequence list is generated, the actual serial number of the cable to be tested is compared with this list. When the serial number falls into the sampling sequence list, the cable is determined to meet the second-level sampling trigger condition and enters the subsequent shielding effectiveness quantitative testing process; when the serial number does not fall into the list, only its first-level full inspection result is retained. Through this determination method, the second-level sampling trigger condition forms a clear execution boundary within the batch, enabling the testing system to dynamically adjust the testing coverage based on real-time quality performance. In new energy vehicle application scenarios, when the second pass rate of a certain batch of high-voltage wiring harnesses is between two thresholds, the sampling sequence list will select several wiring harness numbers distributed in different production cycles, thereby maintaining effective monitoring of potential quality fluctuations without significantly increasing the testing burden.

[0034] In one optional implementation of this embodiment, the step of generating a sweep frequency test signal based on structural parameters to perform quantitative testing of the shielding effectiveness of the cable under test and generating a shielding effectiveness spectrum includes: extracting characteristic impedance, nominal cross-section, and shielding layer type from the structural parameters; determining the internal resistance matching value of the sweep frequency signal source based on the characteristic impedance; calculating the maximum test current limit value based on the nominal cross-section; selecting the corresponding sweep frequency band from a preset test frequency band mapping table based on the shielding layer type; constructing a sweep frequency signal parameter configuration table based on the sweep frequency band, internal resistance matching value, and maximum test current limit value; sequentially applying test current signals at each frequency point to the high-voltage conductor core of the cable under test according to the sweep frequency signal parameter configuration table, and simultaneously acquiring the induced voltage value corresponding to each frequency point to obtain the induced voltage value at each frequency point; determining the induced voltage value sequence under unit current based on the induced voltage value at each frequency point and the injection current amplitude at the corresponding frequency point; and mapping the induced voltage value sequence with the frequency sequence to generate a shielding effectiveness spectrum.

[0035] In this embodiment, before performing the shielding effectiveness quantitative test, the characteristic impedance, nominal cross-section, and shielding layer type, which are directly related to high-frequency electromagnetic behavior, are extracted from the acquired structural parameters. The characteristic impedance describes the inherent proportional relationship between voltage and current in a cable under alternating current conditions; its value determines the reflection and attenuation characteristics of a signal propagating in the conductor. Based on this characteristic impedance, the output internal resistance of the sweep frequency signal source is matched to ensure a stable energy transmission state between the signal source and the cable, thereby avoiding test errors caused by impedance mismatch. The nominal cross-section characterizes the conductor's geometry; its size directly affects the conductor's current-carrying capacity and temperature rise level under energized conditions. Therefore, the maximum test current limit is calculated using the nominal cross-section to ensure that the injected current amplitude is within a safe range during testing. The shielding layer type distinguishes the cable's suppression characteristics against electromagnetic interference of different frequencies. Using this type information, the corresponding sweep frequency band is selected from a preset test frequency band mapping table, ensuring that the test frequency covers the critical range sensitive to the shielding structure. After determining the above parameters, the sweep frequency band, internal resistance matching value, and maximum test current limit are integrated to form a sweep frequency signal parameter configuration table. The parameter configuration table uses frequency as the index unit, clearly defining the upper limit of the current amplitude and the signal source matching conditions for each frequency point, thus providing a unified execution basis for subsequent signal injection. Through this configuration table, the test system can maintain consistent excitation conditions at different frequency points, ensuring the comparability and continuity of shielding effectiveness measurement results. For example, in the testing scenario of high-voltage cables for new energy vehicles, when the shielding layer is a braided and wrapped composite structure, the parameter configuration table will cover multiple frequency ranges from low-frequency interference to high-frequency radiation to reflect the actual performance of the structure in the vehicle's operating environment. After the frequency sweep signal parameter configuration table takes effect, test current signals at each frequency point are sequentially applied to the high-voltage conductor core of the cable under test according to the configuration. The high-voltage conductor core carries the test current, and its external shielding structure generates corresponding electromagnetic coupling effects during current changes. As the test current is injected at different frequency points, the sensing unit located at the shielding layer or external measurement position synchronously collects the induced voltage value generated by electromagnetic coupling. The induced voltage value reflects the residual strength of electromagnetic energy after penetrating the shielding layer, and its magnitude is closely related to the integrity and continuity of the shielding structure. By acquiring data point-by-point during the frequency sweep process, an induced voltage data sequence covering the entire test frequency band can be obtained. After obtaining the induced voltage value at each frequency point, the induced voltage value and the injection current amplitude at the corresponding frequency point are normalized to determine the induced voltage value sequence under unit current conditions. This processing is used to eliminate the influence of the difference in test current amplitude at different frequency points on the results, so that the induced voltage only reflects the shielding structure's ability to suppress electromagnetic coupling. The lower the induced voltage value under unit current, the stronger the shielding layer's suppression effect on electromagnetic interference; conversely, it indicates the existence of potential weak areas in the shielding.By mapping the induced voltage value sequence to the corresponding frequency sequence, a shielding effectiveness spectrum is formed, with frequency as the horizontal axis and induced voltage per unit current as the vertical dimension. The shielding effectiveness spectrum is used to visually demonstrate the overall characteristics of cable shielding performance as a function of frequency, and its curve shape can reflect the response capability of the shielding layer under different electromagnetic environments.

[0036] In one optional implementation of this embodiment, the step of comparing the amplitudes of characteristic frequency points between the shielding effectiveness spectrum and the standard shielding effectiveness spectrum, and driving the field strength scanning module to perform location diagnosis and generate a fault coordinate set if the obtained amplitude difference exceeds the third-level diagnostic trigger threshold, includes: extracting the measured amplitudes of multiple characteristic frequency points from the shielding effectiveness spectrum and extracting the standard amplitudes of the corresponding characteristic frequency points from the standard shielding effectiveness spectrum, and calculating the amplitude difference of each characteristic frequency point; if an amplitude difference exceeding the third-level diagnostic trigger threshold is detected, generating a corresponding diagnostic command and setting the characteristic frequency points with amplitude differences exceeding the third-level diagnostic trigger threshold as test frequency points; controlling the field strength scanning module to perform a three-dimensional gridded scan of the cable under test according to the diagnostic command, and collecting the spatial field strength values ​​of the test frequency points; performing cluster analysis on the spatial field strength values, extracting continuous regions of abnormal field strength and calculating the corresponding geometric center coordinates to obtain a fault coordinate set.

[0037] In this embodiment, during the anomaly localization process, characteristic frequency points representative of the shielding structure integrity are first selected based on the generated shielding effectiveness spectrum. These characteristic frequency points characterize the cable's response state in a specific electromagnetic interference frequency band, and their selection is based on frequency locations that easily induce coupling effects in the vehicle's operating environment. By reading the measured amplitude of the corresponding frequency point in the shielding effectiveness spectrum and simultaneously extracting the standard amplitude at the same frequency location from the standard shielding effectiveness spectrum, a one-to-one amplitude comparison relationship is formed. The measured amplitude reflects the actual cable's shielding capability at that frequency, while the standard amplitude reflects the target level required by the design and specifications. After calculating the difference between the two, the amplitude difference of each characteristic frequency point is obtained, which quantifies the deviation between actual performance and target requirements. When the amplitude difference of any characteristic frequency point exceeds the third-level diagnostic trigger threshold, it indicates that the shielding capability at that frequency has exceeded the allowable fluctuation range, posing a risk of local structural defects or continuity anomalies. Under this condition, a diagnostic command is generated to initiate the localization diagnosis, and the characteristic frequency point with the corresponding amplitude difference exceeding the limit is marked as the test frequency point. Diagnostic commands describe the frequency conditions, scanning range, and resolution requirements needed for subsequent spatial detection, providing clear execution constraints for the positioning process. For example, in the application scenario of high-voltage cables for new energy vehicles, when the amplitude difference in a certain high-frequency band increases significantly, that frequency is selected as the test frequency point to focus on analyzing its electromagnetic leakage location. Under the control of diagnostic commands, the field strength scanning module performs a three-dimensional grid scan around the cable under test. Field strength describes the distribution of electromagnetic field strength in space, and its magnitude reflects the suppression effect of the shielding layer on electromagnetic energy. The three-dimensional grid scan divides the space into regular sampling points within a preset spatial range, collecting the spatial field strength value at the test frequency point point by point, thereby constructing complete spatial field strength distribution data. This distribution data can intuitively reflect the leakage path and concentration area of ​​electromagnetic energy in space. After obtaining the spatial field strength values, cluster analysis is performed on the data. Cluster analysis is used to group adjacent sampling points with significantly higher field strengths into continuous regions based on the similarity between field strength values ​​and spatial locations, thereby distinguishing background noise from real anomalies. By extracting a continuous region of field strength anomaly and performing geometric calculations on the spatial coordinates of all sampling points within that region, the corresponding geometric center coordinates can be obtained. These geometric center coordinates characterize the concentrated location of the anomaly region in space, ultimately forming a fault coordinate set.

[0038] According to the cable performance testing method provided in this application, a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold are generated based on the structural parameters of the cable under test. The electrical safety parameters of the cable under test are collected and judged according to the first-level full inspection command, generating a first judgment result. If the first judgment result passes all items and the cable under test meets the second-level sampling inspection trigger condition, a frequency sweep test signal is generated based on the structural parameters to perform a quantitative test on the shielding effectiveness of the cable under test, generating a shielding effectiveness spectrum. The amplitude of the shielding effectiveness spectrum is compared with the standard shielding effectiveness spectrum at characteristic frequency points. If the amplitude difference exceeds the third-level diagnostic trigger threshold, the field strength scanning module is driven to perform location diagnosis, generating a fault coordinate set. This application precisely targets test resources to high-risk samples based on the judgment result of the first-level detection, automatically identifying abnormal spectral characteristics requiring in-depth diagnosis, and automatically generating control commands to drive the diagnostic equipment to locate fault points. While ensuring overall detection efficiency, it significantly improves the accuracy and timeliness of defect interception.

[0039] Figure 2 This application provides a cable performance testing device, which can be used to implement the cable performance testing method described in the foregoing embodiments. Figure 2 As shown, the cable performance testing device mainly includes: The generation module 10 is used to generate a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold based on the structural parameters of the cable under test. The judgment module 20 is used to collect and judge the electrical safety parameters of the cable under test according to the first-level full inspection instruction, and generate the first judgment result; Test module 30 is used to generate a sweep frequency test signal based on structural parameters to perform a quantitative test on the shielding effectiveness of the cable under test if the first judgment result passes all items and the cable under test meets the second-level sampling inspection triggering conditions, and generate a shielding effectiveness spectrum. The positioning module 40 is used to compare the amplitude of the shielding effectiveness spectrum with the standard shielding effectiveness spectrum at characteristic frequency points. If the amplitude difference exceeds the third-level diagnostic trigger threshold, the field strength scanning module is driven to perform positioning diagnosis and generate a fault coordinate set.

[0040] In one optional implementation of this embodiment, the generation module is specifically used to: retrieve structural parameters associated with the model identifier of the cable under test from the specification database, the structural parameters including rated voltage, nominal cross-section, shielding layer type, and characteristic impedance; query the voltage level for withstand voltage testing and the reference threshold for insulation resistance testing from the electrical safety test benchmark table based on the rated voltage and nominal cross-section; generate a first-level full inspection instruction containing a specific combination of test parameters based on the voltage level for withstand voltage testing and the reference threshold for insulation resistance testing; determine the second-level sampling inspection triggering conditions based on the production batch information and shielding layer type of the cable under test; and determine the third-level diagnostic triggering threshold by matching the corresponding standard shielding effectiveness spectrum from the preset shielding effectiveness database and superimposing a preset tolerance offset based on the characteristic impedance and shielding layer type.

[0041] In an optional implementation of this embodiment, the generation module is further configured to: extract the second judgment results of the first N test batches that have completed testing according to the production batch information of the cable under test, and determine the corresponding first pass rate based on the second judgment results; compare the real-time cumulative first pass rate with the preset pass rate control interval, and determine the basic trigger sample size according to the comparison result and the shielding layer type; generate a sampling sequence based on the serial number rule of the production batch information and the basic trigger sample size; and encapsulate the sampling sequence number with the preset trigger execution logic to generate the second-level sampling trigger condition.

[0042] In one optional implementation of this embodiment, the judgment module is specifically used to: parse the first-level full inspection command and generate a set of parallel test commands for insulation performance, circuit continuity performance, and key component geometry; apply test stimuli synchronously and collect multi-channel response data of the cable under test according to the parallel test command set; convert the multi-channel response data into a set of quantitative parameters consisting of insulation resistance value, circuit resistance value, measured connector size value, and measured cable outer diameter value based on preset conversion rules; compare each parameter in the set of quantitative parameters with the predefined pass threshold in the first-level full inspection command, and generate a first judgment result based on all comparison results.

[0043] In an optional implementation of this embodiment, the determination module is further configured to: determine the second pass rate of the first determination result set in the Mth test batch based on the historical test data corresponding to the production batch information; if the second pass rate is lower than the first preset threshold, set the second-level sampling inspection trigger condition to perform full inspection on all individuals in the current batch; if the second pass rate is higher than or equal to the first preset threshold and lower than the second preset threshold, generate a sampling sequence number list for the current batch according to the preset sampling plan; when the serial number of the cable to be tested falls into the sampling sequence number list, it is determined that the second-level sampling inspection trigger condition is met.

[0044] In one optional implementation of this embodiment, the test module is specifically used for: extracting characteristic impedance, nominal cross-section, and shielding layer type from structural parameters; determining the internal resistance matching value of the sweep frequency signal source based on the characteristic impedance; calculating the maximum test current limit value based on the nominal cross-section; selecting the corresponding sweep frequency band from a preset test frequency band mapping table based on the shielding layer type; constructing a sweep frequency signal parameter configuration table based on the sweep frequency band, internal resistance matching value, and maximum test current limit value; sequentially applying test current signals at each frequency point to the high-voltage conductor core of the cable under test according to the sweep frequency signal parameter configuration table, and simultaneously acquiring the induced voltage value corresponding to each frequency point to obtain the induced voltage value at each frequency point; determining the induced voltage value sequence under unit current based on the induced voltage value at each frequency point and the injection current amplitude at the corresponding frequency point; and mapping the induced voltage value sequence with the frequency sequence to generate a shielding effectiveness spectrum.

[0045] In one optional implementation of this embodiment, the positioning module is specifically used for: extracting the measured amplitudes of multiple characteristic frequency points from the shielding effectiveness spectrum, and extracting the standard amplitudes of the corresponding characteristic frequency points from the standard shielding effectiveness spectrum, and calculating the amplitude difference between each characteristic frequency point; if an amplitude difference exceeding the third-level diagnostic trigger threshold is detected, a corresponding diagnostic command is generated and the characteristic frequency point with the amplitude difference exceeding the third-level diagnostic trigger threshold is set as the test frequency point; according to the diagnostic command, the field strength scanning module is controlled to perform a three-dimensional grid scan of the cable under test, and the spatial field strength values ​​of the test frequency points are collected; cluster analysis is performed on the spatial field strength values, continuous regions of abnormal field strength are extracted and the corresponding geometric center coordinates are calculated to obtain the fault coordinate set.

[0046] According to the cable performance testing device provided in this application, a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold are generated based on the structural parameters of the cable under test. The electrical safety parameters of the cable under test are collected and judged according to the first-level full inspection command, generating a first judgment result. If the first judgment result passes all items and the cable under test meets the second-level sampling inspection trigger condition, a frequency sweep test signal is generated based on the structural parameters to perform a quantitative test on the shielding effectiveness of the cable under test, generating a shielding effectiveness spectrum. The amplitude of the shielding effectiveness spectrum is compared with the standard shielding effectiveness spectrum at characteristic frequency points. If the amplitude difference exceeds the third-level diagnostic trigger threshold, the field strength scanning module is driven to perform location diagnosis, generating a fault coordinate set. This application precisely targets test resources to high-risk samples based on the judgment result of the first-level detection, automatically identifying abnormal spectral characteristics requiring in-depth diagnosis, and automatically generating control commands to drive the diagnostic equipment to locate fault points. While ensuring overall detection efficiency, it significantly improves the accuracy and timeliness of defect interception.

[0047] According to the scheme provided in this application Figure 3An electronic device is provided as an embodiment of this application. This electronic device can be used to implement the cable performance testing method in the foregoing embodiments, and mainly includes: The system includes a memory 301, a processor 302, and a computer program 303 stored on the memory 301 and executable on the processor 302. The memory 301 and the processor 302 are connected via communication. When the processor 302 executes the computer program 303, it implements the cable performance testing method described in the foregoing embodiments. The number of processors can be one or more.

[0048] The memory 301 can be a high-speed random access memory (RAM) or a non-volatile memory, such as a disk storage device. The memory 301 is used to store executable program code, and the processor 302 is coupled to the memory 301.

[0049] Furthermore, embodiments of this application also provide a computer-readable storage medium, which may be disposed in the electronic device described in the above embodiments, and the computer-readable storage medium may be as described above. Figure 3 The memory in the illustrated embodiment.

[0050] The computer-readable storage medium stores a computer program that, when executed by a processor, implements the cable performance testing method described in the foregoing embodiments. Furthermore, the computer-readable storage medium can also be a USB flash drive, external hard drive, read-only memory (ROM), RAM, magnetic disk, or optical disk, or any other medium capable of storing program code.

[0051] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0052] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or 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 application. 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.

[0053] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for testing cable performance, characterized in that, include: The system generates a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold based on the structural parameters of the cable under test. The electrical safety parameters of the cable under test are collected and judged according to the first-level full inspection instruction, and a first judgment result is generated. If the first judgment result passes all items and the cable under test meets the second-level sampling triggering condition, then a sweep frequency test signal is generated based on the structural parameters to perform a shielding effectiveness quantitative test on the cable under test and generate a shielding effectiveness spectrum. The amplitude of the shielding effectiveness spectrum is compared with that of the standard shielding effectiveness spectrum at characteristic frequency points. If the amplitude difference exceeds the third-level diagnostic trigger threshold, the field strength scanning module is driven to perform localization diagnosis and generate a fault coordinate set.

2. The cable performance testing method according to claim 1, characterized in that, The steps of generating a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold based on the structural parameters of the cable under test include: The structural parameters associated with the model identifier of the cable under test are retrieved from the specification database. These structural parameters include rated voltage, nominal cross-section, shielding type, and characteristic impedance. Based on the rated voltage and the nominal cross-section, look up the voltage level for withstand voltage testing and the reference threshold for insulation resistance testing from the electrical safety test reference table; Based on the voltage level of the withstand voltage test and the reference threshold of the insulation resistance test, a first-level full inspection instruction containing a specific combination of test parameters is generated. Based on the production batch information of the cable under test and the shielding layer type, the second-level sampling inspection triggering conditions are determined; Based on the characteristic impedance and the shielding layer type, the corresponding standard shielding effectiveness spectrum is matched from the preset shielding effectiveness database and a preset tolerance offset is superimposed to determine the third-level diagnostic trigger threshold.

3. The cable performance testing method according to claim 2, characterized in that, The step of determining the second-level sampling inspection trigger condition based on the production batch information of the cable under test and the shielding layer type includes: Based on the production batch information of the cable under test, extract the second judgment result of the first N test batches that have completed testing for the corresponding batch, and determine the corresponding first pass rate based on the second judgment result; The real-time cumulative first pass rate is compared with the preset pass rate control range, and the basic trigger sample size is determined based on the comparison result and the shielding layer type. A sampling sequence is generated based on the serial number rule of the production batch information and the basic trigger sample size; The sampling sequence number is encapsulated with the preset trigger execution logic to generate the second-level sampling trigger condition.

4. The cable performance testing method according to claim 1, characterized in that, The step of collecting and judging the electrical safety parameters of the cable under test according to the first-level full inspection instruction, and generating a first judgment result, includes: Parse the first-level full inspection instructions to generate a set of parallel test instructions for insulation performance, circuit continuity performance and key component geometry; According to the parallel test instruction set, test stimuli are applied synchronously and multi-channel response data of the cable under test are collected. Based on preset conversion rules, the multi-channel response data is converted into a set of quantified parameters consisting of insulation resistance value, loop resistance value, measured connector size value, and measured cable outer diameter value. Each parameter in the quantification parameter set is compared with the predefined pass threshold in the first-level full inspection instruction, and the first judgment result is generated based on all comparison results.

5. The cable performance testing method according to claim 3, characterized in that, The method further includes: The second pass rate of the first judgment result set in the Mth inspection batch is determined based on the historical inspection data corresponding to the production batch information. If the second pass rate is lower than the first preset threshold, then the second level of sampling inspection trigger condition is set to full inspection of all individuals in the current batch; If the second pass rate is higher than or equal to the first preset threshold and lower than the second preset threshold, then a sampling sequence number list for the current batch is generated according to the preset sampling plan. When the serial number of the cable under test falls into the sampling sequence number list, it is determined that the second-level sampling inspection trigger condition is met.

6. The cable performance testing method according to claim 1, characterized in that, The step of generating a sweep frequency test signal based on the structural parameters to perform a quantitative test on the shielding effectiveness of the cable under test and generating a shielding effectiveness spectrum includes: Extract the characteristic impedance, nominal cross-section, and shielding layer type from the structural parameters; determine the internal resistance matching value of the sweep frequency signal source based on the characteristic impedance; calculate the maximum test current limit value based on the nominal cross-section; and select the corresponding sweep frequency band from the preset test frequency band mapping table based on the shielding layer type. Based on the frequency sweep band, the internal resistance matching value, and the maximum test current limit value, a frequency sweep signal parameter configuration table is constructed. According to the frequency sweep signal parameter configuration table, test current signals at each frequency point are sequentially applied to the high-voltage conductor core of the cable under test, and the induced voltage values ​​corresponding to each frequency point are collected simultaneously to obtain the induced voltage values ​​at each frequency point. The sequence of induced voltage values ​​per unit current is determined based on the induced voltage values ​​at each frequency point and the injection current amplitude at the corresponding frequency point. The induced voltage value sequence is correlated and mapped with the frequency sequence to generate a shielding effectiveness spectrum.

7. The cable performance testing method according to claim 1, characterized in that, The step of comparing the amplitude of the shielding effectiveness spectrum with the standard shielding effectiveness spectrum at characteristic frequency points, and if the amplitude difference exceeds the third-level diagnostic trigger threshold, driving the field strength scanning module to perform location diagnosis and generate a fault coordinate set, includes: The measured amplitudes of multiple characteristic frequency points are extracted from the shielding effectiveness spectrum, and the standard amplitudes of the corresponding characteristic frequency points are extracted from the standard shielding effectiveness spectrum. The amplitude difference of each characteristic frequency point is calculated. If an amplitude difference exceeding the third-level diagnostic trigger threshold is detected, a corresponding diagnostic instruction is generated and the characteristic frequency point where the amplitude difference exceeds the third-level diagnostic trigger threshold is set as the test frequency point. According to the diagnostic command, the field strength scanning module is controlled to perform a three-dimensional grid scan on the cable under test and collect the spatial field strength value of the frequency point under test. Cluster analysis is performed on the spatial field strength values ​​to extract continuous regions of field strength anomalies and calculate the corresponding geometric center coordinates to obtain a set of fault coordinates.

8. A cable performance testing device, characterized in that, The cable performance testing device is used to implement the cable performance testing method according to claim 1, and the cable performance testing device includes: The generation module is used to generate a first-level full inspection command, a second-level sampling inspection trigger condition, and a third-level diagnostic trigger threshold based on the structural parameters of the cable under test. The judgment module is used to collect and judge the electrical safety parameters of the cable under test according to the first-level full inspection instruction, and generate a first judgment result; The testing module is used to generate a frequency sweep test signal based on the structural parameters to perform a shielding effectiveness quantitative test on the cable under test if the first judgment result passes all items and the cable under test meets the second-level sampling triggering conditions, and generate a shielding effectiveness spectrum. The positioning module is used to compare the amplitude of the shielding effectiveness spectrum with the standard shielding effectiveness spectrum at characteristic frequency points. If the amplitude difference exceeds the third-level diagnostic trigger threshold, the field strength scanning module is driven to perform positioning diagnosis and generate a fault coordinate set.

9. An electronic device, characterized in that, Includes memory and processor, of which: The processor is used to execute computer programs stored in the memory; When the processor executes the computer program, it implements the steps in the cable performance testing method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the cable performance testing method according to any one of claims 1 to 7.

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