A communication equipment environmental stress resistance detection system and method

Abstract

A communication equipment environmental stress resistance detection system and method thereof, relating to the technical field of environmental stress resistance detection, wherein each communication equipment to be detected in the current batch is tested for each single normal environment test content in turn, data feature extraction is performed on the single normal environment test content unqualified index of the equipment that fails the normal detection, an abnormal environmental stress resistance feature set is obtained, and a number of historical abnormal environmental stress resistance feature sets of different communication equipment types and reference reliability coefficients corresponding to the historical abnormal environmental stress resistance feature sets are stored; similarity analysis is performed on normal detection qualified equipment according to the abnormal environmental stress resistance feature set, and normal detection qualified equipment that meets the requirements is obtained to perform a single extreme environment test content test, and the reference reliability coefficient of the abnormal environmental stress resistance feature set is updated according to the test results of the single extreme environment test content, thereby improving the test data utilization rate and test efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental stress resistance detection, and in particular to a communication equipment environmental stress resistance detection system and method thereof. Background Art

[0002] The prior art CN118041465A "A method, device, storage medium and electronic device for testing anti-interference performance of Bluetooth communication" includes: obtaining a parent set of interference factors, refining the parent set to obtain a subset of interference factors; hierarchically processing the subset according to a first rule to obtain a multi-level interference set; prioritizing the multi-level interference set based on a second rule to obtain an anti-interference test strategy; and performing an anti-interference performance test on a Bluetooth communication device according to the anti-interference test strategy;

[0003] Prior art CN114114333A "An anti-interference performance test method and device" includes: obtaining real satellite signals and generating interference signals; generating test signals according to the real satellite signals and the interference signals; outputting the test signals to the GNSS module; receiving positioning data generated for the test signals output by the GNSS module; generating anti-interference performance data for the device under test based on the positioning data; wherein the anti-interference performance data includes interference suppression degree and repositioning time;

[0004] At present, after the normal environmental strength test of the communication equipment, it is indeed necessary to conduct extreme environment testing, but there are also some potential hazards and challenges. For example, extreme environment testing usually requires special test equipment and laboratories, which will increase the cost of testing. If the equipment is damaged during the test, additional funds will be required to repair or replace the damaged parts. At the same time, extreme environment testing may take longer to complete, thus affecting the timetable for product launch. How to minimize these potential hazards while ensuring the performance of the equipment is an issue that we urgently need to solve. At the same time, a large number of automatic test systems generate massive test data, covering the original data, judgment result data, test environment data and indicator judgment data of each test stage of the tested product. These data are scattered and stored in various test systems. At present, most of the test data are managed manually, which makes the data isolated. If there is no effective data recording and analysis method, it is difficult to obtain meaningful features from the test, especially when it comes to complex data sets, it is impossible to conduct comprehensive data analysis on the data. How to conduct comprehensive and intelligent analysis based on multi-source test data is one of the problems that need to be solved at present. Summary of the invention

[0005] In order to solve the above technical problems, the object of the present invention is to provide a communication equipment environmental stress resistance detection system, including an environmental test management platform, the environmental test management platform is communicatively connected with a normal environment test acquisition module, a data feature mining module, a data feature storage module and an extreme environment test module;

[0006] The normal environment test module is used to test each single normal environment test content on each communication device to be tested in the current batch in turn, and obtain the normal test unqualified devices and the normal test qualified devices;

[0007] The data feature mining module is used to extract data features of the unqualified indicators of the single normal environmental test content of the normal detection unqualified equipment, and obtain the abnormal feature set of environmental stress resistance;

[0008] The data feature storage module is used to store historical environmental stress resistance abnormal feature sets of several different communication equipment types and reference reliability coefficients corresponding to the historical environmental stress resistance abnormal feature sets, and to determine whether to perform the operation process of the extreme environment test module;

[0009] The extreme environment test module is used to perform similarity analysis on normal detection qualified equipment according to the environmental stress resistance abnormality feature set, obtain normal detection qualified equipment that meets the requirements to test a single extreme environment test content, and update the reference reliability coefficient of the environmental stress resistance abnormality feature set according to the test results of the single extreme environment test content.

[0010] Furthermore, the normal environment test module sequentially tests each single normal environment test content on each communication device to be tested in the current batch, and the process of obtaining the normal test unqualified devices and the normal test qualified devices includes:

[0011] Obtain functional characteristics and application scenarios of the types of communication equipment to be tested in the current batch, and use data retrieval to obtain various types of data monitoring indicators and several single environmental test contents of the types of communication equipment to be tested according to the functional characteristics and application scenarios. The single environmental test contents include normal environmental test intensity and extreme environmental test intensity. Based on the several single environmental test contents, construct a single normal environmental test content process sequence and a single extreme environmental test content process sequence of the types of communication equipment to be tested;

[0012] According to the single normal environment test content process sequence, each communication device to be tested in the current batch is tested for each single normal environment test content in turn to obtain the normal test unqualified equipment and normal test qualified equipment.

[0013] Furthermore, the process of obtaining the normal test unqualified equipment and the normal test qualified equipment includes:

[0014] During the testing process of each single normal environment test content performed in turn on each communication device to be tested in the current batch, the numerical time series sequence corresponding to each type of data monitoring indicator corresponding to each communication device to be tested under each single environment test content is obtained, the threshold interval corresponding to each type of data monitoring indicator is preset, the numerical time series sequence corresponding to each type of data monitoring indicator is compared with the corresponding threshold interval, and the cumulative time when the numerical time series sequence corresponding to each type of data monitoring indicator is not within the corresponding threshold interval is obtained; when the cumulative time corresponding to a certain type of data monitoring indicator is greater than the preset time threshold, the single normal environment test content corresponding to the certain type of data monitoring indicator is obtained, the certain type of data monitoring indicator is marked as a single normal environment test content unqualified indicator, and the communication device to be tested that generates the single normal environment test content unqualified indicator is marked as a normal test unqualified device; when the cumulative time corresponding to each type of data monitoring indicator of the communication device to be tested is less than or equal to the preset time threshold, the communication device to be tested is marked as a normal test qualified device.

[0015] Furthermore, the data feature mining module extracts data features of the unqualified indicators of the single normal environmental test content of the normal detection unqualified equipment, and the process of obtaining the abnormal feature set of environmental stress resistance includes:

[0016] According to the numerical time series corresponding to the single normal environment test content unqualified indicator and other types of data monitoring indicators of the normal detection unqualified equipment, the stability coefficient of the single normal environment test content unqualified indicator and the correlation coefficient between the single normal environment test content unqualified indicator and other types of data monitoring indicators are obtained; according to the stability coefficient of the single normal environment test content unqualified indicator and the correlation coefficient between the single normal environment test content unqualified indicator and other types of data monitoring indicators, an environmental stress resistance anomaly feature set is constructed.

[0017] Furthermore, the data feature storage module stores historical environmental stress resistance abnormal feature sets of several different communication equipment types and reference reliability coefficients corresponding to the historical environmental stress resistance abnormal feature sets, and determines whether to perform the operation process of the extreme environment test module, including:

[0018] Constructing an environmental stress anomaly resistance feature data pool, wherein the environmental stress anomaly resistance feature data pool is used to store historical environmental stress anomaly resistance feature sets of several different communication equipment types and reference reliability coefficients corresponding to the historical environmental stress anomaly resistance feature sets of several different communication equipment types;

[0019] A similarity comparison is performed between the environmental stress abnormality feature set of the current normal detection unqualified device and several historical environmental stress abnormality feature sets of the same type of communication equipment corresponding to the current normal detection unqualified device in the environmental stress abnormality feature data pool, and the similarity between each historical environmental stress abnormality feature set and the environmental stress abnormality feature set in the environmental stress abnormality feature data pool is obtained, and it is determined whether there is a historical environmental stress abnormality feature set with a similarity greater than a preset similarity threshold. If not, the operation process of the extreme environment test module is performed. If so, a reference reliability coefficient corresponding to the historical environmental stress abnormality feature set with a similarity greater than the preset similarity threshold is obtained, and it is determined whether the reference reliability coefficient is greater than the preset reference reliability coefficient threshold. If it is greater, the operation process of the extreme environment test module is performed; if it is less, the operation process of the extreme environment test module is rejected.

[0020] Furthermore, the extreme environment test module performs similarity analysis on the normal test qualified equipment according to the abnormal environmental stress resistance feature set, and obtains the normal test qualified equipment that meets the requirements to perform a single extreme environment test content test process, including:

[0021] Mark the type data monitoring index of the normal inspection qualified equipment that is consistent with the unqualified index of the single normal environment test content as the index to be analyzed, obtain the stability coefficient of the index to be analyzed and the correlation coefficient between the index to be analyzed and other types of data monitoring indexes, compare the stability coefficient of the index to be analyzed and the correlation coefficient between the index to be analyzed and other types of data monitoring indexes with the abnormal feature set of environmental stress resistance, obtain the similarity of the index to be analyzed, compare the similarity with the preset similarity threshold, and mark the normal inspection qualified equipment with the similarity of the index to be analyzed greater than the similarity threshold as secondary inspection equipment;

[0022] Obtain the single normal environment test content corresponding to the single normal environment test content unqualified indicator, obtain the single extreme environment test content corresponding to the single normal environment test content, test the single extreme environment test content for each type of data monitoring indicator of the secondary detection equipment, obtain the numerical time series sequence corresponding to each type of data monitoring indicator during the test, obtain the cumulative time when the numerical time series sequence is not within the corresponding threshold interval, when there is a type of data monitoring indicator with a cumulative time greater than a preset time threshold, mark the secondary detection equipment as an extreme detection unqualified device, and when the cumulative time of each type of data monitoring indicator is less than or equal to the preset time threshold, mark the secondary detection equipment as an extreme detection qualified device.

[0023] Furthermore, the process of the extreme environment test module updating the reference reliability coefficient of the environmental stress resistance abnormality feature set according to the test result of the single extreme environment test content includes:

[0024] Obtain the number of secondary detection devices marked as qualified extreme detection devices, the number of devices marked as unqualified extreme detection devices, the number of normal detection qualified devices, and the number of normal detection unqualified devices; obtain the reference reliability coefficient of the environmental stress anomaly feature set of the current normal detection unqualified devices based on the number of secondary detection devices marked as qualified extreme detection devices, the number of devices marked as unqualified extreme detection devices, the number of normal detection qualified devices, and the number of normal detection unqualified devices, and store it in the environmental stress anomaly feature data pool; eliminate the reference reliability coefficient of the historical environmental stress anomaly feature set in the environmental stress anomaly feature data pool whose similarity with the environmental stress anomaly feature set of the current normal detection unqualified devices is greater than a preset similarity threshold.

[0025] A method for detecting the environmental stress resistance of communication equipment comprises the following steps:

[0026] Step s1: Test each single item of normal environment test content on each communication device to be tested in the current batch in turn, and obtain the devices that fail the normal test and the devices that pass the normal test;

[0027] Step s2: extracting data features from the unqualified indicators of the single normal environment test content of the normal detection unqualified equipment, obtaining an abnormal feature set of environmental stress resistance, storing historical abnormal feature sets of environmental stress resistance of several different types of communication equipment and reference reliability coefficients corresponding to the historical abnormal feature sets of environmental stress resistance, and determining whether to perform the operation process of the extreme environment test module;

[0028] Step s3: Perform similarity analysis on normal inspection qualified equipment according to the environmental stress anomaly resistance feature set, obtain normal inspection qualified equipment that meets the requirements for testing of single extreme environment test content, and update the reference reliability coefficient of the environmental stress anomaly resistance feature set according to the test results of the single extreme environment test content.

[0029] Compared with the prior art, the present invention has the following beneficial effects: special test equipment and laboratories are usually required for extreme environment testing, which increases the cost of testing. If the equipment is damaged during testing, additional funds are required to repair or replace damaged parts. At the same time, extreme environment testing may take longer to complete, thereby affecting the timetable for product launch. Testing is started from normal environmental intensity, and the response of the communication equipment is monitored during the test process. When the communication equipment fails under normal environmental intensity, an abnormal feature set of environmental stress resistance before the communication equipment fails is extracted. The communication equipment that has passed the normal environmental intensity is analyzed based on the abnormal feature set of environmental stress resistance to determine whether the communication equipment that has passed the normal environmental intensity is If there are potential faults, extreme environmental strength testing is carried out on the communication equipment with potential faults. While ensuring that the test conditions are strict enough to screen out potential problems, the possibility of unnecessary physical damage caused by extreme environmental testing is reduced. At the same time, extreme environmental strength testing is only carried out on communication equipment with potential faults, which reduces the cost and time of testing and significantly improves testing efficiency. At the same time, an environmental stress anomaly feature data pool is constructed to store detailed historical environmental stress anomaly feature sets of several different types of communication equipment and reference reliability coefficients corresponding to historical environmental stress anomaly feature sets of several different types of communication equipment for subsequent analysis and improvement, avoid the test data island phenomenon, and improve the test data utilization rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a schematic diagram of a communication equipment environmental stress resistance detection system according to an embodiment of the present application.

[0031] Figure 2 This is a schematic diagram of a method for detecting environmental stress resistance of communication equipment according to an embodiment of the present application. DETAILED DESCRIPTION

[0032] The following is a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0033] like Figure 1 As shown, a communication equipment environmental stress resistance detection system includes an environmental test management platform, and the environmental test management platform is communicatively connected with a normal environment test acquisition module, a data feature mining module, a data feature storage module and an extreme environment test module;

[0034] The normal environment test module is used to test each single normal environment test content on each communication device to be tested in the current batch in turn, and obtain the normal test unqualified devices and the normal test qualified devices;

[0035] The data feature mining module is used to extract data features of the unqualified indicators of the single normal environmental test content of the normal detection unqualified equipment, and obtain the abnormal feature set of environmental stress resistance;

[0036] The data feature storage module is used to store historical environmental stress resistance abnormal feature sets of several different communication equipment types and reference reliability coefficients corresponding to the historical environmental stress resistance abnormal feature sets, and to determine whether to perform the operation process of the extreme environment test module;

[0037] The extreme environment test module is used to perform similarity analysis on normal detection qualified equipment according to the environmental stress resistance abnormality feature set, obtain normal detection qualified equipment that meets the requirements to test a single extreme environment test content, and update the reference reliability coefficient of the environmental stress resistance abnormality feature set according to the test results of the single extreme environment test content.

[0038] It should be further explained that, in the specific implementation process, the normal environment test module sequentially tests each single normal environment test content on each communication device to be tested in the current batch, and the process of obtaining the normal test unqualified devices and the normal test qualified devices includes:

[0039] Obtain functional characteristics and application scenarios of the types of communication equipment to be tested in the current batch, and use data retrieval to obtain various types of data monitoring indicators and several single environmental test contents of the types of communication equipment to be tested according to the functional characteristics and application scenarios. The single environmental test contents include normal environmental test intensity and extreme environmental test intensity. Based on the several single environmental test contents, construct a single normal environmental test content process sequence and a single extreme environmental test content process sequence of the types of communication equipment to be tested;

[0040] According to the single normal environment test content process sequence, each communication device to be tested in the current batch is tested for each single normal environment test content in turn to obtain the normal test unqualified equipment and normal test qualified equipment.

[0041] Among them, the types of communication devices to be tested in the current batch include smart phones, routers, switches, base stations, satellite communication equipment, etc. The functional characteristics of the types of communication devices to be tested in the current batch include transmitters (such as signal sources, signal processing circuits, modulators, power amplifiers, etc.), receivers (such as receiving antennas, demodulators, signal processing circuits, signal decoders, etc.), special functional requirements (such as waterproof and dustproof: for equipment that needs to work in harsh environments, it is necessary to have waterproof and dustproof functions, high temperature / low temperature resistance: able to work normally under extreme temperatures, electromagnetic compatibility (EMC): the equipment can resist external electromagnetic interference and limit the electromagnetic interference generated by itself, vibration and shock resistance: for mobile devices, it is necessary to have certain vibration and shock resistance capabilities, energy efficiency: low power consumption design to reduce energy consumption), the application scenarios of the communication equipment to be tested include personal communications, corporate offices, military and defense, industry Industrial automation, etc., the various types of data monitoring indicators of the communication equipment to be tested include: environmental data (such as temperature, humidity, air pressure, salt spray*, dust, etc.), mechanical stress data (such as vibration, impact, drop, mechanical deformation, etc.), electrical performance data (such as voltage and current, power consumption, signal quality, electromagnetic compatibility, etc.), chemical environment data (such as corrosive gas, liquid contact, etc.), operation data (such as functional test: functional performance of the equipment in a specific environment, performance indicators: such as data transmission rate, response time, etc.), the single environmental test content includes temperature and humidity test (for example, using a temperature and humidity chamber to simulate the performance of environmental test parameters such as high temperature, low temperature, high humidity, etc. under normal environmental test intensity and extreme environmental test intensity of the test equipment), vibration test, drop test, salt spray test, sealing test, electromagnetic compatibility test, solar radiation test, etc. and the test intensity of the above tests.

[0042] It should be further explained that, in the specific implementation process, the process of obtaining the normal test unqualified equipment and the normal test qualified equipment includes:

[0043] During the testing process of each single normal environment test content performed in turn on each communication device to be tested in the current batch, the numerical time series sequence corresponding to each type of data monitoring indicator corresponding to each communication device to be tested under each single environment test content is obtained, the threshold interval corresponding to each type of data monitoring indicator is preset, the numerical time series sequence corresponding to each type of data monitoring indicator is compared with the corresponding threshold interval, and the cumulative time when the numerical time series sequence corresponding to each type of data monitoring indicator is not within the corresponding threshold interval is obtained; when the cumulative time corresponding to a certain type of data monitoring indicator is greater than the preset time threshold, the single normal environment test content corresponding to the certain type of data monitoring indicator is obtained, the certain type of data monitoring indicator is marked as a single normal environment test content unqualified indicator, and the communication device to be tested that generates the single normal environment test content unqualified indicator is marked as a normal test unqualified device; when the cumulative time corresponding to each type of data monitoring indicator of the communication device to be tested is less than or equal to the preset time threshold, the communication device to be tested is marked as a normal test qualified device.

[0044] It should be further explained that, in the specific implementation process, the data feature mining module extracts data features for the unqualified indicators of the single normal environmental test content of the normal detection unqualified equipment, and the process of obtaining the abnormal feature set of environmental stress resistance includes:

[0045] According to the numerical time series corresponding to the single normal environment test content unqualified indicator and other types of data monitoring indicators of the normal detection unqualified equipment, the stability coefficient of the single normal environment test content unqualified indicator and the correlation coefficient between the single normal environment test content unqualified indicator and other types of data monitoring indicators are obtained; according to the stability coefficient of the single normal environment test content unqualified indicator and the correlation coefficient between the single normal environment test content unqualified indicator and other types of data monitoring indicators, an environmental stress resistance anomaly feature set is constructed.

[0046] It should be further explained that, in the specific implementation process, the calculation formula for obtaining the stability coefficient of the unqualified index of the single normal environment test content and the correlation coefficient between the unqualified index of the single normal environment test content and other types of data monitoring indicators is:

[0047]

[0048]

[0049] Among them, fd i Indicates the stability coefficient of the unqualified index i of a single normal environment test content, D itIt represents the value of the unqualified index i of the single normal environment test content at the tth moment, n represents the total number of moments of the numerical time series sequence corresponding to the unqualified index of the single normal environment test content and other types of data monitoring indicators, DQ i represents the threshold value average value of the threshold interval corresponding to the unqualified indicator of the single normal environment test content, q(ij) represents the correlation coefficient between the unqualified indicator i of the single normal environment test content and the other type of data monitoring indicator j, D jt Indicates the value of other types of data monitoring indicators j at the tth moment, DQ j It represents the threshold value average value of the threshold interval corresponding to other types of data monitoring indicators j, and δ represents the conversion coefficient.

[0050] It should be further explained that, in the specific implementation process, the data feature storage module stores a number of historical environmental stress resistance anomaly feature sets of different communication equipment types and a reference reliability coefficient corresponding to the historical environmental stress resistance anomaly feature sets, and determines whether to perform the operation process of the extreme environment test module, including:

[0051] Constructing an environmental stress anomaly resistance feature data pool, wherein the environmental stress anomaly resistance feature data pool is used to store historical environmental stress anomaly resistance feature sets of several different communication equipment types and reference reliability coefficients corresponding to the historical environmental stress anomaly resistance feature sets of several different communication equipment types;

[0052] Compare the similarity between the environmental stress abnormality feature set of the current normal detection unqualified equipment and several historical environmental stress abnormality feature sets of the same type of communication equipment corresponding to the current normal detection unqualified equipment in the environmental stress abnormality feature data pool, obtain the similarity between each historical environmental stress abnormality feature set and the environmental stress abnormality feature set in the environmental stress abnormality feature data pool, and determine whether there is a historical environmental stress abnormality feature set with a similarity greater than a preset similarity threshold. If not, perform the operation process of the extreme environment test module, that is, perform similarity analysis on the normal detection qualified equipment according to the environmental stress abnormality feature set, obtain the normal detection qualified equipment that meets the requirements to test the single extreme environment test content, and if so, obtain the reference reliability coefficient corresponding to the historical environmental stress abnormality feature set with a similarity greater than the preset similarity threshold. Determine whether the reference reliability coefficient is greater than a preset reference reliability coefficient threshold value. If so, perform the operation process of the extreme environment test module; if so, reject the operation process of the extreme environment test module, that is, perform similarity analysis on the normal detection qualified equipment according to the current normal detection unqualified equipment environmental stress resistance abnormality feature set, and obtain the normal detection qualified equipment that meets the requirements to test the single extreme environment test content; by constructing an environmental stress resistance abnormality feature data pool, collect historical environmental stress resistance abnormality feature sets of several types of communication equipment and the reference reliability coefficients corresponding to the historical environmental stress resistance abnormality feature sets, ensure that the environmental stress resistance abnormality feature set is instructive for the environmental stress resistance test of the communication equipment, and avoid the negative impact of the non-instructive environmental stress resistance abnormality feature set randomly generated by the normal detection unqualified equipment on the test cost and time.

[0053] It should be further explained that, in the specific implementation process, the environmental stress resistance abnormality feature set of the current normal detection unqualified equipment is compared with several historical environmental stress resistance abnormality feature sets of the same type of communication equipment corresponding to the current normal detection unqualified equipment in the environmental stress resistance abnormality feature data pool for similarity, and the calculation formula for obtaining the similarity between each historical environmental stress resistance abnormality feature set and the environmental stress resistance abnormality feature set in the environmental stress resistance abnormality feature data pool is:

[0054]

[0055] Among them, y (g，r) represents the similarity between the environmental stress resistance anomaly feature set g and the historical environmental stress resistance anomaly feature set r, fd ig represents the stability coefficient of the unqualified index i of the single normal environment test content in the abnormal environmental stress resistance feature set g, fd kr The stability coefficient of the unqualified index k of a single normal environment test content in the historical environmental stress resistance abnormal feature set r, q g(ij) represents the correlation coefficient between the unqualified index i of the single normal environment test content in the abnormal feature set g of environmental stress resistance and the other types of data monitoring index j, q r (kj) represents the correlation coefficient between the single normal environment test content unqualified index k in the historical environmental stress resistance abnormal feature set r and the other types of data monitoring index j, M represents the set of other types of data monitoring indicators, ω1 and ω2 represent weight coefficients, s1 represents the single normal environment test content unqualified index i in the environmental stress resistance abnormal feature set g is consistent with the single normal environment test content unqualified index k in the historical environmental stress resistance abnormal feature set r, s2 represents the single normal environment test content unqualified index i in the environmental stress resistance abnormal feature set g is inconsistent with the single normal environment test content unqualified index k in the historical environmental stress resistance abnormal feature set r.

[0056] It should be further explained that, in the specific implementation process, the extreme environment test module performs similarity analysis on the normal test qualified equipment according to the abnormal feature set of environmental stress resistance, and obtains the normal test qualified equipment that meets the requirements to perform the test of a single extreme environment test content, including:

[0057] Mark the type data monitoring index of the normal inspection qualified equipment that is consistent with the unqualified index of the single normal environment test content as the index to be analyzed, obtain the stability coefficient of the index to be analyzed and the correlation coefficient between the index to be analyzed and other types of data monitoring indexes, compare the stability coefficient of the index to be analyzed and the correlation coefficient between the index to be analyzed and other types of data monitoring indexes with the abnormal feature set of environmental stress resistance, obtain the similarity of the index to be analyzed, compare the similarity with the preset similarity threshold, and mark the normal inspection qualified equipment with the similarity of the index to be analyzed greater than the similarity threshold as secondary inspection equipment;

[0058] Obtain the single normal environment test content corresponding to the single normal environment test content unqualified indicator, obtain the single extreme environment test content corresponding to the single normal environment test content, test the single extreme environment test content for each type of data monitoring indicator of the secondary detection equipment, obtain the numerical time series sequence corresponding to each type of data monitoring indicator during the test, obtain the cumulative time when the numerical time series sequence is not within the corresponding threshold interval, when there is a type of data monitoring indicator with a cumulative time greater than a preset time threshold, mark the secondary detection equipment as an extreme detection unqualified device, and when the cumulative time of each type of data monitoring indicator is less than or equal to the preset time threshold, mark the secondary detection equipment as an extreme detection qualified device.

[0059] The extreme environment test module performs similarity analysis on the normal test qualified equipment according to the abnormal environmental stress resistance feature set, and obtains the normal test qualified equipment that meets the requirements for testing a single extreme environment test content. The significance is that extreme environment testing usually requires special test equipment and laboratories, which will increase the cost of testing. If the equipment is damaged during the test, additional funds will be required to repair or replace the damaged parts. At the same time, extreme environment testing may take longer to complete, which will affect the timetable for product launch. The test starts from normal environmental intensity, and the response of the communication equipment is monitored during the test. When the communication equipment fails under normal environmental intensity, the abnormal environmental stress resistance feature set before the communication equipment fails is extracted. According to the abnormal environmental stress resistance feature set, the communication equipment that passed the normal environment is tested. The communication equipment with environmental strength is analyzed to determine whether the communication equipment that has passed the normal environmental strength has potential faults. The communication equipment with potential faults is tested for extreme environmental strength. While ensuring that the test conditions are strict enough to screen out potential problems, the possibility of unnecessary physical damage caused by extreme environmental testing is reduced. At the same time, only the communication equipment with potential faults is tested for extreme environmental strength, which reduces the cost and time of the test and significantly improves the test efficiency. At the same time, an environmental stress abnormality feature data pool is constructed to store detailed historical environmental stress abnormality feature sets of several different types of communication equipment and reference reliability coefficients corresponding to historical environmental stress abnormality feature sets of several different types of communication equipment for subsequent analysis and improvement, avoiding data islanding and improving data utilization.

[0060] It should be further explained that, in the specific implementation process, the process in which the extreme environment test module updates the reference reliability coefficient of the environmental stress resistance abnormal feature set according to the test results of a single extreme environment test content includes:

[0061] Obtain the number of secondary detection devices marked as qualified extreme detection devices and the number of devices marked as unqualified extreme detection devices, as well as the number of qualified normal detection devices and the number of unqualified normal detection devices; obtain the reference reliability coefficient of the environmental stress abnormality feature set of the current unqualified normal detection devices based on the number of secondary detection devices marked as qualified extreme detection devices and the number of devices marked as unqualified extreme detection devices, as well as the number of qualified normal detection devices and the number of unqualified normal detection devices, and store it in the environmental stress abnormality feature data pool; remove the reference reliability coefficient of the historical environmental stress abnormality feature set in the environmental stress abnormality feature data pool whose similarity with the environmental stress abnormality feature set of the current unqualified normal detection devices is greater than a preset similarity threshold;

[0062] Among them, according to the number of secondary detection equipment marked as extreme detection qualified equipment and the number of equipment marked as extreme detection unqualified equipment, as well as the number of normal detection qualified equipment and the number of normal detection unqualified equipment, the calculation formula for obtaining the reference reliability coefficient of the environmental stress resistance abnormal feature set of the current normal detection unqualified equipment is:

[0063]

[0064] Among them, rv g represents the reference reliability coefficient of the environmental stress anomaly feature set g, N DC Indicates the number of unqualified devices in normal inspection, N FR Indicates the number of qualified equipment in normal inspection, N EW Indicates the number of devices that fail extreme detection, N TH represents the number of devices that pass the extreme test, and σ represents the conversion factor.

[0065] like Figure 2 As shown, a method for detecting the environmental stress resistance of communication equipment comprises the following steps:

[0066] Step s1: Test each single item of normal environment test content on each communication device to be tested in the current batch in turn, and obtain the devices that fail the normal test and the devices that pass the normal test;

[0067] Step s2: extracting data features from the unqualified indicators of the single normal environment test content of the normal detection unqualified equipment, obtaining an abnormal feature set of environmental stress resistance, storing historical abnormal feature sets of environmental stress resistance of several different types of communication equipment and reference reliability coefficients corresponding to the historical abnormal feature sets of environmental stress resistance, and determining whether to perform the operation process of the extreme environment test module;

[0068] Step s3: Perform similarity analysis on normal inspection qualified equipment according to the environmental stress anomaly resistance feature set, obtain normal inspection qualified equipment that meets the requirements for testing of single extreme environment test content, and update the reference reliability coefficient of the environmental stress anomaly resistance feature set according to the test results of the single extreme environment test content.

[0069] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A communication equipment environmental stress resistance detection system, characterized in that: It includes an environmental test management platform, which is communicatively connected with a normal environment test acquisition module, a data feature mining module, a data feature storage module and an extreme environment test module; The normal environment test module is used to test each single normal environment test content on each communication device to be tested in the current batch in turn, and obtain the normal test unqualified devices and the normal test qualified devices; The data feature mining module is used to extract data features of the unqualified indicators of the single normal environmental test content of the normal detection unqualified equipment, and obtain the abnormal feature set of environmental stress resistance, including: According to the numerical time series corresponding to the single normal environment test content unqualified indicator and other types of data monitoring indicators of the normal detection unqualified equipment, the stability coefficient of the single normal environment test content unqualified indicator and the correlation coefficient between the single normal environment test content unqualified indicator and other types of data monitoring indicators are obtained, and the environmental stress resistance abnormality feature set is constructed according to the stability coefficient of the single normal environment test content unqualified indicator and the correlation coefficient between the single normal environment test content unqualified indicator and other types of data monitoring indicators; Among them, the calculation formula for obtaining the stability coefficient of the unqualified index of a single normal environment test content and the correlation coefficient between the unqualified index of a single normal environment test content and other types of data monitoring indicators is: ； ； in, Indicates the stability coefficient of the unqualified index i of a single normal environment test content, represents the value of the unqualified indicator i of the single normal environment test content at the tth moment, n represents the total number of moments of the numerical time series sequence corresponding to the unqualified indicator of the single normal environment test content and other types of data monitoring indicators, Indicates the threshold value average value of the threshold range corresponding to the unqualified indicator of a single normal environment test content. It represents the correlation coefficient between the unqualified index i of a single normal environment test content and the other type of data monitoring index j. Represents the value of other types of data monitoring indicators j at the tth moment, Represents the threshold average value of the threshold interval corresponding to other types of data monitoring indicators j, Indicates the conversion factor; The data feature storage module is used to store historical environmental stress resistance abnormal feature sets of several different communication equipment types and reference reliability coefficients corresponding to the historical environmental stress resistance abnormal feature sets, and determine whether to perform the operation of the extreme environment test module, including: Constructing an environmental stress anomaly resistance feature data pool, wherein the environmental stress anomaly resistance feature data pool is used to store historical environmental stress anomaly resistance feature sets of several different communication equipment types and reference reliability coefficients corresponding to the historical environmental stress anomaly resistance feature sets of several different communication equipment types; Compare the similarity between the environmental stress abnormality feature set of the current normal detection unqualified device and several historical environmental stress abnormality feature sets of the same type of communication device corresponding to the current normal detection unqualified device in the environmental stress abnormality feature data pool, obtain the similarity between each historical environmental stress abnormality feature set and the environmental stress abnormality feature set in the environmental stress abnormality feature data pool, and determine whether there is a historical environmental stress abnormality feature set with a similarity greater than a preset similarity threshold. If not, perform the operation process of the extreme environment test module. If so, obtain the reference reliability coefficient corresponding to the historical environmental stress abnormality feature set with a similarity greater than the preset similarity threshold, and determine whether the reference reliability coefficient is greater than the preset reference reliability coefficient threshold. If greater, perform the operation process of the extreme environment test module. If less, reject the operation process of the extreme environment test module. Among them, the environmental stress resistance abnormality feature set of the current normal detection unqualified equipment is compared with several historical environmental stress resistance abnormality feature sets of the same communication equipment type as the current normal detection unqualified equipment in the environmental stress resistance abnormality feature data pool. The calculation formula for obtaining the similarity between each historical environmental stress resistance abnormality feature set and the environmental stress resistance abnormality feature set in the environmental stress resistance abnormality feature data pool is: ； in, represents the similarity between the environmental stress resistance anomaly feature set g and the historical environmental stress resistance anomaly feature set r, It represents the stability coefficient of the unqualified index i of the single normal environment test content in the abnormal environmental stress resistance feature set g, It represents the stability coefficient of the unqualified index k of a single normal environment test content in the historical environmental stress resistance abnormal feature set r, It represents the correlation coefficient between the unqualified index i of the single normal environment test content in the abnormal feature set g of environmental stress resistance and the monitoring index j of other types of data, represents the correlation coefficient between the unqualified index k of the single normal environment test content in the historical environmental stress resistance abnormal feature set r and the other types of data monitoring index j, M represents the set of other types of data monitoring indicators, , represents the weight coefficient, It means that the single normal environment test content failure index i in the environmental stress resistance abnormal feature set g is consistent with the single normal environment test content failure index k in the historical environmental stress resistance abnormal feature set r. It indicates that the unqualified index i of the single normal environment test content in the environmental stress resistance abnormal feature set g is inconsistent with the unqualified index k of the single normal environment test content in the historical environmental stress resistance abnormal feature set r; The extreme environment test module is used to perform similarity analysis on normal test qualified equipment according to the abnormal environmental stress resistance feature set, obtain normal test qualified equipment that meets the requirements to test a single extreme environment test content, and update the reference reliability coefficient of the abnormal environmental stress resistance feature set according to the test results of the single extreme environment test content; The process of performing similarity analysis on the normal qualified equipment according to the abnormal characteristic set of environmental stress resistance and obtaining the normal qualified equipment that meets the requirements for testing the single extreme environment test content includes: Mark the type data monitoring index of the normal inspection qualified equipment that is consistent with the unqualified index of the single normal environment test content as the index to be analyzed, obtain the stability coefficient of the index to be analyzed and the correlation coefficient between the index to be analyzed and other types of data monitoring indexes, compare the stability coefficient of the index to be analyzed and the correlation coefficient between the index to be analyzed and other types of data monitoring indexes with the abnormal feature set of environmental stress resistance, obtain the similarity of the index to be analyzed, compare the similarity with the preset similarity threshold, and mark the normal inspection qualified equipment with the similarity of the index to be analyzed greater than the similarity threshold as secondary inspection equipment; Obtain the single normal environment test content corresponding to the unqualified indicator of the single normal environment test content, obtain the single extreme environment test content corresponding to the single normal environment test content, test the single extreme environment test content on each type of data monitoring indicator of the secondary detection equipment, obtain the numerical time series sequence corresponding to each type of data monitoring indicator during the test, obtain the accumulated time when the numerical time series sequence is not within the corresponding threshold interval, when there is a type of data monitoring indicator with a accumulated time greater than a preset time threshold, mark the secondary detection equipment as an extreme detection unqualified device, and when the accumulated time of each type of data monitoring indicator is less than or equal to the preset time threshold, mark the secondary detection equipment as an extreme detection qualified device; Among them, according to the number of secondary detection equipment marked as extreme detection qualified equipment and the number of equipment marked as extreme detection unqualified equipment, as well as the number of normal detection qualified equipment and the number of normal detection unqualified equipment, the calculation formula for obtaining the reference reliability coefficient of the environmental stress resistance abnormal feature set of the current normal detection unqualified equipment is: ； in, represents the reference reliability coefficient of the environmental stress anomaly feature set g, Indicates the number of unqualified devices in normal inspection. Indicates the number of qualified equipment in normal inspection. Indicates the number of devices that failed the extreme test, Indicates the number of devices that passed the extreme test, Indicates the conversion factor.

2. A communication equipment environmental stress resistance detection system according to claim 1, characterized in that: The normal environment test module sequentially tests each single normal environment test content on each communication device to be tested in the current batch, and the process of obtaining the normal test unqualified devices and the normal test qualified devices includes: Obtain functional characteristics and application scenarios of the types of communication equipment to be tested in the current batch, and use data retrieval to obtain various types of data monitoring indicators and several single environmental test contents of the types of communication equipment to be tested according to the functional characteristics and application scenarios. The single environmental test contents include normal environmental test intensity and extreme environmental test intensity. Based on the several single environmental test contents, construct a single normal environmental test content process sequence and a single extreme environmental test content process sequence of the types of communication equipment to be tested; According to the single normal environment test content process sequence, each communication device to be tested in the current batch is tested for each single normal environment test content in turn to obtain the normal test unqualified equipment and normal test qualified equipment.

3. A communication equipment environmental stress resistance detection system according to claim 2, characterized in that: The process of obtaining devices that failed normal testing and devices that passed normal testing includes: During the testing process of each single normal environment test content performed in turn on each communication device to be tested in the current batch, the numerical time series sequence corresponding to each type of data monitoring indicator corresponding to each communication device to be tested under each single environment test content is obtained, the threshold interval corresponding to each type of data monitoring indicator is preset, the numerical time series sequence corresponding to each type of data monitoring indicator is compared with the corresponding threshold interval, and the cumulative time when the numerical time series sequence corresponding to each type of data monitoring indicator is not within the corresponding threshold interval is obtained; when the cumulative time corresponding to a certain type of data monitoring indicator is greater than the preset time threshold, the single normal environment test content corresponding to the certain type of data monitoring indicator is obtained, the certain type of data monitoring indicator is marked as a single normal environment test content unqualified indicator, and the communication device to be tested that generates the single normal environment test content unqualified indicator is marked as a normal test unqualified device; when the cumulative time corresponding to each type of data monitoring indicator of the communication device to be tested is less than or equal to the preset time threshold, the communication device to be tested is marked as a normal test qualified device.

4. A communication equipment environmental stress resistance detection system according to claim 3, characterized in that: The process of the extreme environment test module updating the reference reliability coefficient of the environmental stress resistance abnormal feature set according to the test results of a single extreme environment test content includes: Obtain the number of secondary detection devices marked as qualified extreme detection devices, the number of devices marked as unqualified extreme detection devices, the number of normal detection qualified devices, and the number of normal detection unqualified devices; obtain the reference reliability coefficient of the environmental stress anomaly feature set of the current normal detection unqualified devices based on the number of secondary detection devices marked as qualified extreme detection devices, the number of devices marked as unqualified extreme detection devices, the number of normal detection qualified devices, and the number of normal detection unqualified devices, and store it in the environmental stress anomaly feature data pool; eliminate the reference reliability coefficient of the historical environmental stress anomaly feature set in the environmental stress anomaly feature data pool whose similarity with the environmental stress anomaly feature set of the current normal detection unqualified devices is greater than a preset similarity threshold.

5. A communication equipment environmental stress resistance detection method, specifically applied to a communication equipment environmental stress resistance detection system according to any one of claims 1 to 4, characterized in that: The following steps are involved: Step s1: Test each single item of normal environment test content on each communication device to be tested in the current batch in turn, and obtain devices that fail the normal test and devices that pass the normal test; Step s2: extracting data features from the unqualified indicators of the single normal environment test content of the normal detection unqualified equipment, obtaining an abnormal feature set of environmental stress resistance, storing historical abnormal feature sets of environmental stress resistance of several different types of communication equipment and reference reliability coefficients corresponding to the historical abnormal feature sets of environmental stress resistance, and determining whether to perform the operation process of the extreme environment test module; Step s3: Perform similarity analysis on normal inspection qualified equipment according to the environmental stress anomaly resistance feature set, obtain normal inspection qualified equipment that meets the requirements for testing of single extreme environment test content, and update the reference reliability coefficient of the environmental stress anomaly resistance feature set according to the test results of the single extreme environment test content.

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