A method for testing the electrical performance of a mobile phone data cable

Abstract

The present invention relates to the technical field of performance detection, and is a method for testing the electrical performance of a mobile phone data cable. The specific method includes: obtaining the electrical parameter data and transmission signal data of each interface; constructing an electromagnetic interference analysis model between interfaces, and performing electromagnetic interference analysis between interfaces through the transmission signal data of each interface; constructing a power distribution balance analysis model, and performing power distribution balance analysis through the electrical parameter data of each interface to perform multi-interface collaborative performance analysis of the data cable; and retroactively tracing the unqualified main interference interface according to the multi-interface collaborative performance analysis result of the data cable and generating an electrical performance detection report of the data cable. The present invention solves the problems in the prior art, such as the lack of dynamic coupling detection of electromagnetic interference when multi-interface data cables work together, the difficulty in quantitatively evaluating uneven power distribution, and the difficulty in locating the main interference interface.

Description

Technical Field

[0001] The present invention relates to the technical field of performance detection, and is a method for testing the electrical performance of a mobile phone data cable. Background Art

[0002] With the diversified development of mobile terminals, mobile phone data cables have gradually evolved from a single-function interface to a multi-interface integrated direction, supporting the synchronous execution of functions such as charging, high-speed data transmission, and multi-device loading. However, the current testing methods for the electrical performance of data cables still mainly focus on the independent detection of a single interface. For example, the quality assessment is carried out by measuring parameters such as the voltage stability, current-carrying capacity, or signal integrity of a single interface. In actual application scenarios, problems such as electromagnetic coupling effects and uneven power dynamic distribution generated when multiple interfaces work together are becoming increasingly prominent. For example, when the data cable simultaneously performs fast charging and high-speed data transmission tasks, electromagnetic interference between interfaces may cause an increase in signal phase shift and abnormal fluctuations in the error rate, while the imbalance of power distribution will lead to local overheating or a decrease in load efficiency. Due to the lack of a dynamic analysis model for the collaborative work of multiple interfaces, the existing detection technologies cannot effectively evaluate the superimposed effects of interference between interfaces, especially there are detection blind spots in key indicators such as electromagnetic interference source tracing, transmission rate fluctuation, and power distribution coordination. In addition, complex factors such as the influence of interface insertion timing on interference accumulation and the coupling effect of stray signals on the transmission path in traditional testing methods have not been systematically modeled, resulting in test results that are difficult to truly reflect the comprehensive performance defects in multi-interface scenarios. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to propose a method for testing the electrical performance of a mobile phone data cable in view of the problems in the prior art, such as the lack of dynamic coupling detection of electromagnetic interference when multiple-interface data cables work together, the difficulty in quantitatively evaluating uneven power distribution, and the difficulty in locating the main interference interface.

[0004] In order to achieve the above object, the technical solution of a method for testing the electrical performance of a mobile phone data cable according to the present invention includes the following steps:

[0005] S1: Insert each interface of the data cable into the performance testing device, and obtain the electrical parameter data and transmission signal data of each interface;

[0006] S2: Construct an electromagnetic interference analysis model between interfaces, and perform electromagnetic interference analysis between interfaces through the transmission signal data of each interface;

[0007] S3: Construct a power distribution balance analysis model, and perform power distribution balance analysis through the electrical parameter data of each interface;

[0008] S4: Perform multi-interface collaborative performance analysis of the data cable by comprehensively obtaining the electromagnetic interference analysis results and power distribution balance analysis results between interfaces;

[0009] S5: Retroactively trace the unqualified main interference interfaces based on the multi-interface collaborative performance analysis results of the data cable and generate an electrical performance test report for the data cable.

[0010] Specifically, in S1, connecting the data cable to the performance test device includes: making differential marking on each interface of the data cable and presetting the working interval unit duration TIME; inserting each interface of the data cable into the performance test device at intervals, and recording the insertion order of each interface into the performance test device, where the insertion interval duration between the first interface and the second interface inserted into the performance test device is at least one working interval unit duration TIME, the insertion interval duration between the second interface and the third interface inserted into the performance test device is at least two working interval unit durations TIME, and the insertion interval duration of each subsequent interface increases by one working interval unit duration in sequence;

[0011] Specifically, S2 includes: obtaining the phase offset amplitude and offset frequency data of the signals at each interface when multiple interfaces of the data cable work simultaneously, simultaneously obtaining the interference pulse data generated by electromagnetic coupling between interfaces, and the real-time fluctuation data of the data transmission rate of each interface;

[0012] Substitute the obtained data into the interface fluctuation anomaly value calculation formula to calculate the interface fluctuation anomaly value of each interface ;

[0013] Specifically, the calculation formula for the interface fluctuation anomaly value of each interface is:

[0014] ;

[0015] where A is the total number of interfaces of the data cable to be tested;

[0016] is the interface fluctuation anomaly value of the a-th interface,

[0017] R is the transmission rate fluctuation ratio of the interface data in the current unit detection period and the previous unit detection period;

[0018] is the number of phase offsets of the interface signal when the transmission rate fluctuation ratio is R;

[0019] are respectively the amplitude of the m-th phase offset of the interface and the safe amplitude of the interface signal phase offset;

[0020] is the number of occurrences of interference pulses of the interface signal when the transmission rate fluctuation ratio is R;

[0021] are the intensity of the nth interference pulse and the safe intensity of the interference pulse, respectively;

[0022] Specifically, S2 further includes: obtaining the stray signal intensity data generated by electromagnetic coupling between interfaces when multiple interfaces work, including: obtaining the bit error rate fluctuation data during the signal transmission process of each interface and the signal attenuation data caused by signal crosstalk between interfaces, and substituting the real-time bit error rate fluctuation data and signal attenuation data of each interface into the interface attenuation anomaly value calculation formula to calculate the interface attenuation anomaly value ;

[0023] Specifically, the calculation formula for the interface attenuation anomaly value is:

[0024]

[0025] where is the interface fluctuation anomaly value of the a-th interface;

[0026] is the serial number index of the non-working interface after the a-th interface is inserted into the performance test device;

[0027] are respectively the signal attenuation amount and bit error rate fluctuation value on the signal path of the a-th interface when the a-th interface is inserted into the performance test device;

[0028] are respectively the initial signal attenuation amount and initial bit error rate fluctuation value on the interface signal path of the a-th interface during the time interval between the insertion of the a-th interface and the (a - 1)-th interface into the performance test device;

[0029] Extract the interface fluctuation anomaly value and the interface attenuation anomaly value, and import them into the interface electromagnetic interference analysis model to output the interface interference value of the data line interface;

[0030] ;

[0031] where is the interface interference value of the a-th interface; is the performance interference proportion coefficient of the a-th interface;

[0032] Specifically, S3 includes: obtaining the electrical parameter data when each interface of the data line works simultaneously, including: obtaining the voltage data and current data corresponding to each interface, and substituting the real-time voltage data and current data of each interface into the power distribution imbalance value calculation formula to calculate the power distribution imbalance value ;

[0033] Specifically, the calculation formula for the power distribution imbalance value is:

[0034] ;

[0035] Wherein, B is the number of interfaces working simultaneously currently, and b is the index of the interface serial number working simultaneously currently;

[0036] are respectively the real-time voltage of the i-th interface and the starting voltage at the starting moment;

[0037] are respectively the real-time current of the i-th interface and the starting current at the starting moment;

[0038] are respectively the real-time transmission load of the i-th interface and the starting transmission load at the starting moment;

[0039] is the average load of the real-time transmission load of the interfaces under all current working states;

[0040] Extract the power distribution imbalance values of each interface and import them into the calculation formula of the multi-interface distribution anomaly value of the data line to calculate the interface distribution anomaly value X of the data line interface;

[0041] Wherein, the specific calculation strategy of the interface distribution anomaly value X of the data line interface is:

[0042] ;

[0043] Wherein, are the actual power distribution coefficient and the standard power distribution coefficient for the collaborative work of the multi-interfaces of the data line;

[0044] are respectively the power distribution imbalance values of the interface with the largest power consumption and the interface with the smallest power consumption;

[0045] is the average value of the actual temperatures of all interfaces when the multi-interfaces of the data line work collaboratively;

[0046] is the standard temperature of the interface when the single interface of the data line works.

[0047] Specifically, S4 includes:

[0048] S41: Substitute the calculated interface interference anomaly value and interface power anomaly value into the calculation formula of the comprehensive evaluation value of the data line performance to calculate the comprehensive evaluation value Q of the data line performance. Wherein, the calculation formula of the comprehensive evaluation value Q of the data line performance is:

[0049] ;

[0050] S42: Compare the calculated comprehensive evaluation value of the data line performance with the set performance anomaly threshold. If the comprehensive evaluation value of the current data line performance is greater than or equal to the set anomaly threshold, the multi-interface collaborative performance evaluation result of the data line is unqualified;

[0051] If the comprehensive evaluation value of the current data line performance is less than the set anomaly threshold, the multi-interface collaborative performance evaluation result of the data line is qualified.

[0052] Specifically, S5 includes:

[0053] S51: Extract the multi-interface collaborative performance evaluation result of the data line. When the evaluation result of the data line is unqualified, trace back the interface interference values of each interface of the data line in reverse, arrange the interface interference values in descending order to obtain the interface interference value sequence of the data line, and select the interfaces corresponding to the first two interface interference values in the interface interference value sequence as the alternative main interference interfaces;

[0054] S52: Output the unqualified main interference interface in the data line through the reverse test strategy.

[0055] Specifically, in S52, the reverse test strategy is specifically:

[0056] Step A1: Mark any one of the two alternative main interference interfaces as the M interface, and mark the other interface as the N interface. At the same time, superimpose a specific frequency identification signal with an amplitude of 1% on the working signal of the M interface, and keep the standard signal at the N interface;

[0057] Step A2: Search for the phase offset of the 101 kHz component in the signal detected at the N interface and calculate the phase coupling direction coefficient ;

[0058] Specifically, the calculation strategy of the phase coupling direction coefficient is specifically:

[0059] ;

[0060] Among them, is the phase offset of the identification frequency component in the N interface signal relative to the original identification signal of the M interface; is the initial phase difference between the identification signal actively injected into the M interface and the main signal of the M interface;

[0061] is the characteristic frequency component injected into the M interface signal; is the fundamental frequency component;

[0062] Step A3: Extract the phase coupling direction coefficient , and judge the unqualified main interference interface in the data line, including: when When it is greater than or equal to 0.8, it is determined that interface M interferes with interface N, and interface M is the main interference interface;

[0063] When When it is less than or equal to 0.2, it is determined that interface N interferes with interface M, and interface N is the main interference interface;

[0064] When When it is less than 0.8 and greater than 0.2, it is determined that interface M and interface N have bidirectional interference, and both are the main interference interfaces.

[0065] Preferably, step S52 further includes: when the judgment result is that interface M and interface N have bidirectional interference, return to step S51, select the interfaces corresponding to the second and third interface interference values in the interference value sequence as the alternative main interference interfaces, and repeat step S52 in a loop until the two interfaces in the alternative main interference interfaces are no longer bidirectionally interfering, then end the loop and output the unqualified main interference interface.

[0066] Compared with the prior art, the technical effects of the present invention are as follows:

[0067] Through the multi-dimensional dynamic detection and collaborative analysis mechanism, the present invention significantly improves the accuracy and comprehensiveness of the electrical performance test in the multi-interface collaborative working scenario of mobile phone data cables. Its technical effects and beneficial effects are mainly reflected in the following aspects:

[0068] 1) By constructing an electromagnetic interference analysis model between interfaces and combining multi-parameter fusion calculations such as transmission signal phase shift, interference pulse intensity, and bit error rate fluctuation, the present invention realizes the dynamic quantitative evaluation of the electromagnetic coupling effect when multiple interfaces work simultaneously, accurately captures the interference accumulation effect caused by the difference in interface insertion timing, and solves the technical bottleneck that traditional single-interface testing cannot reflect signal distortion in multi-task concurrent scenarios;

[0069] 2) Based on the joint analysis model of power distribution imbalance value and interface allocation anomaly value, the present invention real-time monitors the dynamic matching status of voltage, current, and load of each interface, and combines the correlation analysis between temperature change and power distribution coefficient to effectively identify local overheating or efficiency attenuation problems caused by uneven power distribution, breaking through the limitation of the prior art that only focuses on the static electrical parameters of a single interface;

[0070] 3) Through the reverse tracing strategy and the intelligent judgment logic of the phase coupling direction coefficient, the present invention can quickly locate the main interference interface and distinguish the interference direction. For example, after superimposing a specific frequency identification signal, by detecting the phase shift characteristics of non-injected interfaces, it can accurately identify unidirectional interference or bidirectional interference modes, significantly improving the efficiency and reliability of fault tracing in complex electromagnetic environments.

[0071] In summary, the present invention not only realizes the systematic evaluation of electromagnetic compatibility, power distribution balance, and signal integrity in the scenario of multi-interface collaborative work, but also significantly reduces the false detection rate and missed detection risk through dynamic timing control and multi-source data fusion analysis, providing a scientific basis for the design optimization, quality control, and fault diagnosis of high-density interface data lines, and having remarkable technological advancement and industrial application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. Among them:

[0073] Figure 1 It is a schematic flow chart of a method for testing the electrical performance of a mobile phone data line according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0074] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific embodiments of the present invention in conjunction with the drawings of the specification.

[0075] Embodiment 1:

[0076] As Figure 1 shown, a method for testing the electrical performance of a mobile phone data line according to an embodiment of the present invention, as Figure 1 shown, includes the following specific steps:

[0077] S1: Insert each interface of the data line into the performance test device, and obtain the electrical parameter data and transmission signal data of each interface;

[0078] Specifically, in S1, connecting the data line to the performance test device includes: performing a differentiation marking process on each interface of the data line, and presetting the working interval unit duration TIME; inserting each interface of the data line into the performance test device at intervals, and recording the insertion order of each interface into the performance test device. Among them, the insertion interval duration between the first interface and the second interface inserted into the performance test device is at least one working interval unit duration TIME, the insertion interval duration between the second interface and the third interface inserted into the performance test device is at least two working interval unit durations TIME, and the insertion interval duration of each subsequent interface increases by one working interval unit duration in turn;

[0079] Exemplarily, in this embodiment, in S1, when the data line is working with multiple interfaces simultaneously, multiple working tasks can be executed simultaneously, and the types of working tasks include: charging task, data transmission task, or load task;

[0080] S2: Construct an electromagnetic interference analysis model between interfaces, and perform electromagnetic interference analysis between interfaces through the transmission signal data of each interface;

[0081] S2 includes: obtaining the phase offset amplitude and offset frequency data of the signals at each interface when multiple interfaces of the data line work simultaneously, simultaneously obtaining the interference pulse data generated by electromagnetic coupling between interfaces, and the real-time fluctuation data of the data transmission rate of each interface;

[0082] Substitute the obtained data into the interface fluctuation outlier calculation formula to calculate the interface fluctuation outlier ;

[0083] Specifically, the calculation formula for the interface fluctuation outlier is:

[0084] ;

[0085] Among them, the total number of interfaces of the data line to be tested is A;

[0086] is the interface fluctuation outlier of the a-th interface,

[0087] R is the transmission rate fluctuation ratio of the interface data in the current unit detection period and the previous unit detection period;

[0088] is the number of phase offsets of the interface signal when the transmission rate fluctuation ratio is R;

[0089] are respectively the amplitude of the m-th phase offset of the interface and the safe amplitude of the interface signal phase offset;

[0090] is the number of occurrences of interference pulses of the interface signal when the transmission rate fluctuation ratio is R;

[0091] are respectively the intensity of the n-th interference pulse and the safe intensity of the interference pulse;

[0092] Exemplarily, in this embodiment, the intensity of the interference pulse is determined by means such as the degree of signal distortion caused by the interference pulse.

[0093] S2 also includes: obtaining the stray signal intensity data generated by electromagnetic coupling between interfaces when multiple interfaces work, including: obtaining the error rate fluctuation data during the signal transmission process of each interface and the signal attenuation data caused by signal crosstalk between interfaces, and substituting the real-time error rate fluctuation data and signal attenuation data of each interface into the interface attenuation outlier calculation formula to calculate the interface attenuation outlier ;

[0094] Specifically, the calculation formula for the interface attenuation outlier is as follows:

[0095]

[0096] where is the interface fluctuation outlier of the a-th interface;

[0097] is the serial number index of the non-operating interface after the a-th interface is inserted into the performance test device;

[0098] are respectively the signal attenuation amount and the bit error rate fluctuation value on the signal path of the a-th interface when the -th interface is inserted into the performance test device;

[0099] are respectively the initial signal attenuation amount and the initial bit error rate fluctuation value on the interface signal path of the a-th interface during the time interval between the insertion of the a-th interface and the (a - 1)-th interface into the performance test device;

[0100] Extract the interface fluctuation outlier and the interface attenuation outlier, and import them into the electromagnetic interference analysis model between interfaces to output the interface interference value of the data line interface;

[0101] ;

[0102] where is the interface interference value of the a-th interface; is the performance interference ratio coefficient of the a-th interface;

[0103] Preferably, in this embodiment, where is the serial number index of the operating interface before the a-th interface is inserted into the performance test device, is the cumulative working duration of the

[0104] S3: Construct a power distribution balance analysis model, and perform power distribution balance analysis through the electrical parameter data of each interface;

[0105] S3 includes: Obtain the electrical parameter data when each interface of the data line works simultaneously, including: Obtain the voltage data and current data corresponding to each interface, and substitute the real-time voltage data and current data of each interface into the power distribution imbalance value calculation formula to calculate the power distribution imbalance value ;

[0106] Specifically, the calculation formula for the power distribution imbalance value is:

[0107] ;

[0108] Among them, B is the number of interfaces working simultaneously currently, and b is the index of the interface serial number working simultaneously currently;

[0109] are respectively the real-time voltage of the i-th interface and the starting voltage at the starting moment;

[0110] are respectively the real-time current of the i-th interface and the starting current at the starting moment;

[0111] are respectively the real-time transmission load of the i-th interface and the starting transmission load at the starting moment;

[0112] Exemplarily, when the interface is newly connected and working, the starting voltage, starting current, and starting transmission load are all 0;

[0113] is the average load of the real-time transmission load of the interfaces in all current working states;

[0114] Extract the power distribution imbalance values of each interface and import them into the calculation formula of the multi-interface allocation anomaly value of the data line to calculate the interface allocation anomaly value X of the data line interface;

[0115] Among them, the specific calculation strategy of the interface allocation anomaly value X of the data line interface is:

[0116] ;

[0117] Among them, are the actual power distribution coefficient and the standard power distribution coefficient of the multi-interface collaborative work of the data line;

[0118] Exemplarily, in this embodiment, the power distribution coefficient is the power distribution ratio of the total input power of the data line;

[0119] are respectively the power distribution imbalance values of the interface with the largest power consumption and the interface with the smallest power consumption;

[0120] is the average actual temperature of all interfaces when the data line multi-interface works collaboratively;

[0121] is the standard temperature of the interface when the data line single interface works.

[0122] S4: Perform the multi-interface collaborative performance analysis of the data line based on the comprehensive electromagnetic interference analysis results and power distribution balance analysis results between interfaces;

[0123] S4 includes:

[0124] S41: Substitute the calculated interface interference outliers and interface power outliers into the comprehensive evaluation value calculation formula for the data line performance to calculate the comprehensive evaluation value Q of the data line performance. The comprehensive evaluation value Q calculation formula for the data line performance is as follows:

[0125] ;

[0126] S42: Compare the calculated comprehensive evaluation value of the data line performance with the set performance anomaly threshold. If the current comprehensive evaluation value of the data line performance is greater than or equal to the set anomaly threshold, the multi-interface collaborative performance evaluation result of the data line is unqualified in performance;

[0127] If the current comprehensive evaluation value of the data line performance is less than the set anomaly threshold, the multi-interface collaborative performance evaluation result of the data line is qualified in performance.

[0128] S5: Retroactively trace the unqualified main interference interface based on the multi-interface collaborative performance analysis result of the data line and generate an electrical performance test report for the data line.

[0129] S5 includes:

[0130] S51: Extract the multi-interface collaborative performance evaluation result of the data line. When the evaluation result of the data line is unqualified in performance, retroactively trace the interface interference values of each interface of the data line, arrange the interface interference values in descending order to obtain the interface interference value sequence of the data line, and select the interfaces corresponding to the first two interface interference values in the interface interference value sequence as the alternative main interference interfaces;

[0131] S52: Output the unqualified main interference interface in the data line through the reverse test strategy.

[0132] In S52, the reverse test strategy is specifically as follows:

[0133] Step A1: Mark any one of the two alternative main interference interfaces as the M interface and the other interface as the N interface. At the same time, superimpose a specific frequency identification signal (such as a 101 kHz sine wave) with an amplitude of 1% on the working signal of the M interface. At the same time, keep the standard signal (without identification) at the N interface;

[0134] Step A2: Search for the phase offset of the 101 kHz component in the detection signal at the N interface and calculate the phase coupling direction coefficient ;

[0135] Specifically, the calculation strategy of the phase coupling direction coefficient is specifically as follows:

[0136] ;

[0137] Among them, is the phase offset of the identified frequency component in the N-interface signal relative to the original identification signal of the M-interface; is the initial phase difference between the identification signal actively injected into the M-interface and the main signal of the M-interface;

[0138] is the characteristic frequency component injected into the M-interface signal; is the fundamental frequency component;

[0139] Step A3: Extract the phase coupling direction coefficient , and perform the judgment of the unqualified main interference interface in the data line, including: when is greater than or equal to 0.8, it is judged that the M-interface interferes with the N-interface, and the M-interface is the main interference interface;

[0140] When is less than or equal to 0.2, it is judged that the N-interface interferes with the M-interface, and the N-interface is the main interference interface;

[0141] When is less than 0.8 and greater than 0.2, it is judged that the M-interface and the N-interface have bidirectional interference, and both are the main interference interfaces.

[0142] Preferably, step S52 further includes: when the judgment result is that the M-interface and the N-interface have bidirectional interference, return to step S51, select the interfaces corresponding to the second and third interface interference values in the interference value sequence as the alternative main interference interfaces, and repeat step S52 in a loop until the two interfaces in the alternative main interference interfaces are no longer bidirectionally interfering, then end the loop and output the unqualified main interference interface.

[0143] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for testing the electrical performance of a mobile phone data line, characterized in that: The specific steps include: S1: insert each interface of the data line into the performance test device, and obtain the electrical parameter data and transmission signal data of each interface; S2: Build an electromagnetic interference analysis model between interfaces, and perform electromagnetic interference analysis between interfaces through the transmission signal data of each interface; S2 includes: obtaining the phase offset amplitude and offset frequency data of the signal at each interface when multiple interfaces of the data line work simultaneously, and obtaining the interference pulse data generated by electromagnetic coupling between interfaces, and the real-time fluctuation data of the data transmission rate of each interface; Substitute the obtained data into the interface fluctuation abnormal value calculation formula to calculate the fluctuation abnormal value of each interface ; The calculation formula of the abnormal value of each interface fluctuation is: ； Among them, the total number of interfaces of the data line to be tested is A; is the interface fluctuation abnormal value of the ath interface, R is the transmission rate fluctuation ratio of the interface data in the current unit detection period and the previous unit detection period; is the number of phase shifts of the interface signal when the transmission rate fluctuation ratio is R; are respectively the amplitude of the mth phase offset of the interface and the safe amplitude of the phase offset of the interface signal; is the number of occurrences of interference pulses of the interface signal when the transmission rate fluctuation ratio is R; are the intensity of the nth interference pulse and the interference pulse safety intensity respectively; Obtain the stray signal strength data generated by electromagnetic coupling between interfaces when multiple interfaces are working, including: obtaining the bit error rate fluctuation data during the signal transmission of each interface and the signal attenuation data caused by signal crosstalk between interfaces, and substituting the real-time bit error rate fluctuation data and signal attenuation data of each interface into the interface attenuation abnormal value calculation formula to calculate the interface attenuation abnormal value ; Extract interface fluctuation abnormal values ​​and interface attenuation abnormal values, import the electromagnetic interference analysis model between interfaces to output the interface interference value of the data line interface; ； in, is the interface interference value of the ath interface; is the performance interference ratio of the a-th interface; S3: Build a power distribution balance analysis model and perform power distribution balance analysis based on the electrical parameter data of each interface; S3 includes: obtaining electrical parameter data of each interface of the data line when working simultaneously, including: obtaining voltage data and current data corresponding to each interface, substituting the real-time voltage data and current data of each interface into the power distribution imbalance value calculation formula to calculate the power distribution imbalance value ; Extract the power allocation imbalance value of each interface and import it into the data line multi-interface allocation abnormal value calculation formula to calculate the interface allocation abnormal value X of the data line interface; Among them, the specific calculation strategy of the interface allocation abnormal value X of the data line interface is: ； in, Actual power allocation coefficient and standard power allocation coefficient for data line multi-interface collaboration; are the power allocation imbalance values ​​of the interface with the largest power consumption and the interface with the smallest power consumption, respectively; When multiple interfaces of the data line work together, the actual temperature average of all interfaces; When the data line single interface works, the standard temperature of the interface; S4: Perform multi-interface collaborative performance analysis of the data line based on the obtained electromagnetic interference analysis results between interfaces and the power distribution balance analysis results; S5: According to the multi-interface collaborative performance analysis result of the data line, reversely trace the unqualified main interference interface and generate an electrical performance test report for the data line.

2. A method for testing the electrical performance of a mobile phone data line according to claim 1, characterized in that: S4 include: S41: Substitute the calculated interface interference abnormal value and interface power abnormal value into the calculation formula of the comprehensive evaluation value of data line performance to calculate the comprehensive evaluation value Q of data line performance, wherein the calculation formula of the comprehensive evaluation value Q of data line performance is: ； S42: Compare the calculated comprehensive evaluation value of the data line performance with the set performance abnormality threshold. If the current comprehensive evaluation value of the data line performance is greater than or equal to the set abnormality threshold, the multi-interface collaborative performance evaluation result of the data line is unqualified. If the comprehensive evaluation value of the current data line performance is less than the set abnormal threshold, the multi-interface collaborative performance evaluation result of the data line is qualified.

3. A method for testing the electrical performance of a mobile phone data line according to claim 2, characterized in that S5 include: S51: extracting the multi-interface collaborative performance evaluation result of the data line. When the evaluation result of the data line is that the performance is unqualified, reversely tracing the interface interference values ​​of each interface of the data line, and arranging the interface interference values ​​in descending order to obtain the interface interference value sequence of the data line, and selecting the interfaces corresponding to the first two interface interference values ​​in the interface interference value sequence as candidate main interference interfaces; S52: Outputting unqualified main interference interfaces in the data line through a reverse test strategy.

4. A method for testing the electrical performance of a mobile phone data line according to claim 3, characterized in that: In S52, the reverse test strategy is specifically: Step A1: mark any one of the two candidate main interference interfaces as the M interface, and mark the other interface as the N interface. At the same time, superimpose a specific frequency identification signal with an amplitude of 1% on the working signal of the M interface, and at the same time, maintain the standard signal at the N interface; Step A2: Search for the phase offset of the 101kHz component in the N interface detection signal and calculate the phase coupling directivity coefficient ; Specifically, the calculation strategy of the phase coupling directional coefficient is as follows: ； in, is the phase offset of the identification frequency component in the N interface signal relative to the original identification signal of the M interface; The initial phase difference between the identification signal actively injected by the M interface and the main signal of the M interface; is the characteristic frequency component injected into the M interface signal; is the fundamental frequency component; Step A3: Extract phase coupling directivity , and determine the unqualified main interference interface in the data line, including: When it is greater than or equal to 0.8, it is determined that the M interface interferes with the N interface, and the M interface is the main interference interface; when When it is less than or equal to 0.2, it is determined that the N interface interferes with the M interface and the N interface is the main interference interface; when When it is less than 0.8 and greater than 0.2, the M interface and the N interface are judged to be bidirectional interference and are both main interference interfaces.

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