Test Data Management System and Method for Millimeter-Wave Communication Devices

Abstract

The present invention discloses a test data management system and method based on a millimeter-wave communication device, which relates to the field of wireless communication technology. Historical data is divided into a data set with signal loss and a data set without signal loss. The data in the data set is used to train a missing value filling model. Signal segments with signal loss in the wireless signal are obtained. Associated segments of the target signal are obtained. Through the missing value filling model, according to the association relationship, the repair segment with the smallest difference is selected from several repair segments as a substitute segment. The substitute segment replaces the target signal segment. The wireless signal after replacing the target signal segment is input into the signal analysis end, and the correct rate of the analysis result of the signal is obtained. A new association relationship is established between another associated segment in the two associated segments and the target signal segment to replace the original association relationship.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technologies, and particularly to a test data management system and method for millimeter-wave communication devices. Background Art

[0002] Millimeter-wave communication refers to communication carried out using millimeter waves as the carrier for transmitting information. Due to its short wavelength and wide frequency band, millimeter waves can be applied to the field of high-speed bandwidth wireless communication. In the traditional field of digital communication technologies, it is necessary to sample the transmitted waveform and then make a decision on the signal waveform. In order to improve the accuracy of signal decoding, parity bits and error correction bits need to be added to the transmitted signal. However, as the information transmission rate increases and the information capacity in the communication system continues to grow, adding additional parity bits and error correction bits will result in too much redundant information transmitted by the system. Traditional information error correction methods are difficult to apply to communication systems with high-speed transmission. Summary of the Invention

[0003] The purpose of the present invention is to provide a test data management system and method for millimeter-wave communication devices to solve the problems raised in the prior art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: A test data management method for millimeter-wave communication devices, the method comprising:

[0005] Step S100: Collect historical data of wireless communication, divide the historical data into a data set with signal loss and a data set without signal loss, use the data in the data set to train a missing value filling model, and verify the missing value filling model by simulating the interference generated by signal loss;

[0006] Step S200: Collect the currently transmitted wireless signal, obtain the signal segments with signal loss in the wireless signal, use the signal segments as target signal segments, and use the two signal segments adjacent to the target signal segments as associated segments of the target signal;

[0007] Step S300: Obtain several repaired segments of the target signal segment through the missing value filling model, establish an association relationship between one of the two associated segments and the target signal segment, screen out the repaired segment with the smallest difference from the several repaired segments according to the association relationship as a substitute segment, and replace the target signal segment with the substitute segment;

[0008] Step S400: Input the wireless signal after replacing the target signal segment into the signal analysis end to obtain the correct rate of the analysis result of the signal;

[0009] Step S500: Obtain the average value of several unit detection periods. When the correct rate of the parsing result of the replaced wireless signal is less than the average value, establish a new association relationship between the other associated segment in the two associated segments and the target signal segment to replace the original association relationship, set a protection threshold, and when the replacement frequency of the association relationship is higher than the protection threshold, give an alarm prompt to the relevant management personnel.

[0010] Further, step S100 includes:

[0011] Step S101: Collect the historical transmission records of wireless communication, and divide the historical transmission records into the first type of historical records and the second type of historical records. Among them, the first type of historical records include the historical transmission records with signal loss during the wireless signal transmission process, and the second type of historical records include the historical transmission records without signal loss during the wireless signal transmission process;

[0012] Step S102: According to the reasons for signal loss, label the first type of historical records to obtain interference cause labels, and collect the interference cause labels to obtain an interference feature library;

[0013] Step S103: Obtain a combination of one interference cause label or at least two interference cause labels from the interference feature library, generate an interference signal, simulate the wireless transmission signal in the second type of historical records to obtain a first simulated signal, and interfere with the first simulated signal through the interference signal to obtain a second simulated signal, and collect the second simulated signals to obtain a verification data set;

[0014] Step S104: Use the second type of historical records as training data, train a missing value filling model through a random forest, and verify the missing value filling model through the verification data set;

[0015] Train a random forest model using the non-missing values in the data set. This random forest model is used to generate replacement segments for the information segments with interference. Through the pre-trained data model, identify and adjust the segments to avoid making judgments on each piece of information content in the interference segments, improving the processing efficiency of the interfered information.

[0016] Further, step S200 includes:

[0017] Step S201: Take the currently transmitted wireless signal as the current transmission signal, obtain the transmitter and receiver of the current transmission signal, and record the direction from the transmitter to the receiver as the signal transmission direction;

[0018] Step S202: Divide the current transmission signal into several signal segments, obtain the signal segments with signal loss in the current transmission signal, take the signal segments as target signal segments, along the signal transmission direction, obtain the adjacent signal segments of the target signal segments, and record the segments as the first associated segments. Along the opposite direction of the signal transmission direction, obtain the adjacent signal segments of the target signal segments, and record the segments as the second associated segments.

[0019] Further, step S300 includes:

[0020] Step S301: Through the missing value filling model, obtain N repaired segments of a certain target signal segment, and record the distance between the i-th repaired segment and the associated segment among the N repaired segments as d i , where the associated segment is the first associated segment or the second associated segment;

[0021] Step S302: Obtain the reference sample of the N repaired segments. The reference sample is the average value or median of the N repaired segments, and record the distance between the i-th repaired segment among the N repaired segments and the reference sample as r i ;

[0022] Step S303: Calculate the reference coefficient α of the i-th repaired segment i , ;

[0023] First, establish the unilateral dependence relationship between the target information segment and the adjacent side, reduce the calculation amount in the decision-making process through the unilateral dependence relationship, and improve the processing and matching efficiency of the information segment.

[0024] Step S304: Traverse the N repaired segments to obtain the reference coefficients of each repaired segment, take the repaired segment with the smallest reference coefficient as the substitute segment, and replace a certain target signal segment with the substitute segment.

[0025] Further, step S400 includes:

[0026] Step S401: Set a unit detection period with a time length of T0, obtain and store the average value of the signal transmission correct rate in each unit detection period;

[0027] Step S402: When the moment after the substitute segment completes the replacement is the current moment, take the unit detection period including the current moment as the current period, record the current period as the j-th period, obtain the first k unit detection periods before the j-th period, where the k-th unit detection period before the j-th period is recorded as cor j-k , respectively obtain the average values of the signal transmission correct rates of the first k unit detection periods, and calculate the correct rate reference value β, , where, cor mIt represents the average value of the signal transmission accuracy rate in the m-th unit detection period among the first k unit detection periods, satisfying the condition j - k ≥ 1;

[0028] After replacing the information segment, obtain the accuracy rate of information parsing. When the accuracy rate of information parsing after replacement increases, it indicates that the selected dependency relationship can provide better communication quality.

[0029] Further, step S500 includes:

[0030] Step S501: Obtain the average value of the signal transmission accuracy rate in the j-th period, denoted as cor j , when cor j ≥β, maintain the association relationship between the repair segment and the corresponding associated segment in step S300;

[0031] Step S502: When cor j <β, adjust the association relationship between the repair segment and the corresponding associated segment in step S300, and re-execute step S300. The adjustment method includes: if the first associated segment is adopted in step S300, then adjust to adopt the second associated segment when step S300 is executed next time; if the second associated segment is adopted in step S300, then adjust to adopt the first associated segment when step S300 is executed next time;

[0032] Step S503: Denote the adjustment of the association relationship from the first associated segment to the second associated segment, or from the second associated segment to the first associated segment as one adjustment, and set an alarm period with a duration of T1, where T1 satisfies the condition: T1 > T0. When the number of adjustments exceeds P times within the alarm period, give an alarm prompt to the relevant management personnel, where P is a positive integer;

[0033] When the system frequently changes the dependency relationship, it indicates that the stability of the system deteriorates. To avoid a larger-scale communication system failure caused by the deterioration of system stability, it is necessary to request repair and maintenance in a timely manner.

[0034] To better implement the above method, a test data management system based on millimeter-wave communication equipment is also proposed. The system includes: a model management module, a signal acquisition module, a signal replacement module, an evaluation module, and an association adjustment module. Among them, the model management module is used to train and manage the missing value filling model, the signal acquisition module is used to collect the currently transmitted wireless signal and perform shard management on the wireless signal, the signal replacement module is used to obtain the repair segment and replace the target signal segment, the evaluation module is used to evaluate the accuracy rate of the parsing result of the signal, and the association adjustment module is used to adjust the association relationship of the target signal segment;

[0035] The model management module includes: a historical record classification unit, an interference feature management unit, and a missing value filling model management unit. Among them, the historical record classification unit is used to collect the historical transmission records of wireless communication, and classify the historical transmission records into the first type of historical records and the second type of historical records. The interference feature management unit is used to manage the interference feature library, and the missing value filling model management unit is used to manage the missing value filling model;

[0036] The signal acquisition module includes: a transmission direction acquisition unit and a shard management unit. Among them, the transmission direction acquisition unit is used to obtain the transmission direction of the wireless signal, and the shard management unit is used to perform shard management on the wireless signal;

[0037] The signal replacement module includes: a repair segment management unit, an associated slice management unit, a reference coefficient calculation unit, and a traversal unit. Among them, the repair segment management unit is used to obtain repair segments through the missing value filling model. The associated slice management unit is used to obtain the associated slices of the target signal slice. The reference coefficient calculation unit is used to obtain the association relationship between the repair slice and the associated slice and calculate the reference coefficient. The traversal unit is used to traverse the repair segments to obtain replacement segments;

[0038] The evaluation module includes: an accuracy rate management unit and a replacement evaluation unit. Among them, the accuracy rate management unit is used to obtain and store the signal transmission accuracy rate in each unit detection period, and the replacement evaluation unit is used to evaluate the signal transmission accuracy rate of the replaced wireless signal;

[0039] The association adjustment module includes: an association relationship judgment unit, an association relationship adjustment unit, and an alarm prompt unit. Among them, the association relationship judgment unit is used to judge whether the association relationship is maintained. The association relationship adjustment unit is used to adjust the association relationship of the target signal slice. The alarm prompt unit is used to monitor the adjustment frequency.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows: Through the pre-trained recognition model, at the wireless communication receiving end, the received wireless signal is preprocessed. In order to improve the processing efficiency, the overall processing of the fragmentary wireless signal is adopted, which reduces the error correction pressure for the subsequent information decision-making and information decoding processes. In the matching process of information fragments, the form of unilateral matching is adopted to reduce the amount of matching operations in the matching process. In order to ensure the correctness of unilateral matching, relevant verification and protection modules are also designed, enabling the system to achieve self-checking and self-protection. Description of the Drawings

[0041] Figure 1 It is a schematic structural diagram of the test data management system based on the millimeter-wave communication device of the present invention;

[0042] Figure 2This is a schematic flowchart of a test data management method for a millimeter-wave communication device according to the present invention. Detailed implementation manners

[0043] Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0044] Embodiment: As Figure 1 and Figure 2 shown, the present invention provides a technical solution, a test data management method based on a millimeter-wave communication device:

[0045] Step S100: Collect historical data of wireless communication, divide the historical data into a data set with signal loss and a data set without signal loss, use the data in the data set to train a missing value filling model, and verify the missing value filling model by simulating the interference generated by signal loss;

[0046] Among them, step S100 includes:

[0047] Step S101: Collect historical transmission records of wireless communication, divide the historical transmission records into the first type of historical records and the second type of historical records. Among them, the first type of historical records includes historical transmission records with signal loss during the wireless signal transmission process, and the second type of historical records includes historical transmission records without signal loss during the wireless signal transmission process;

[0048] Step S102: Label the first type of historical records according to the cause of signal loss to obtain interference cause labels, and collect the interference cause labels to obtain an interference feature library;

[0049] Step S103: Obtain a combination of one interference cause label or at least two interference cause labels from the interference feature library, generate an interference signal, simulate the wireless transmission signal in the second type of historical records to obtain a first simulated signal, and interfere with the first simulated signal through the interference signal to obtain a second simulated signal, and collect the second simulated signals to obtain a verification data set;

[0050] Step S104: Use the second type of historical records as training data, train a missing value filling model through random forest, and verify the missing value filling model through the verification data set;

[0051] Train a random forest model with an error-free data set, and test the error detection and correction capabilities of the random forest model by introducing artificial interference data, and set the maximum depth, minimum sample split number, and minimum leaf node sample number of the conditional random forest model to make the model adapt to the environmental characteristics of the receiver operation;

[0052] In an embodiment, the causes of signal loss include, for example, interference received during wireless transmission and the background noise of the communication system itself.

[0053] Step S200: Collect the currently transmitted wireless signal, obtain the signal segments with signal loss in the wireless signal, use the signal segments as target signal segments, and use the two signal segments adjacent to the target signal segment as associated segments of the target signal;

[0054] Among them, step S200 includes:

[0055] Step S201: Use the currently transmitted wireless signal as the currently transmitted signal, obtain the transmitter and receiver of the currently transmitted signal, and record the direction from the transmitter to the receiver as the signal transmission direction;

[0056] Step S202: Divide the currently transmitted signal into several signal segments, obtain the signal segments with signal loss in the currently transmitted signal, use the signal segments as target signal segments, along the signal transmission direction, obtain the signal segments adjacent to the target signal segment, and record the segments as the first associated segments. Along the opposite direction of the signal transmission direction, obtain the signal segments adjacent to the target signal segment, and record the segments as the second associated segments.

[0057] Step S300: Through the missing value filling model, obtain several repaired segments of the target signal segment, establish an association relationship between one of the two associated segments and the target signal segment, and screen out the repaired segment with the smallest difference from the several repaired segments according to the association relationship as the substitute segment, and replace the target signal segment with the substitute segment;

[0058] Among them, step S300 includes:

[0059] Step S301: Through the missing value filling model, obtain N repaired segments of a certain target signal segment, and record the distance between the i-th repaired segment in the N repaired segments and the associated segment as d i , where the associated segment is the first associated segment or the second associated segment;

[0060] Step S302: Obtain the reference sample of the N repaired segments, where the reference sample is the average value or median of the N repaired segments, and record the distance between the i-th repaired segment in the N repaired segments and the reference sample as r i ;

[0061] Step S303: Calculate the reference coefficient α of the i-th repaired segment i , ;

[0062] Step S304: Traverse the N repair segments to obtain the reference coefficients of each repair segment. Take the repair segment with the smallest reference coefficient as the substitute segment, and replace a certain target signal segment with the substitute segment.

[0063] Step S400: Input the wireless signal after replacing the target signal segment into the signal analysis end to obtain the correct rate of the signal analysis result.

[0064] Among them, step S400 includes:

[0065] Step S401: Set a unit detection period with a time length of T0, and obtain and store the average value of the signal transmission correct rate in each unit detection period.

[0066] Step S402: When the moment after the substitute segment is replaced is used as the current moment, take the unit detection period including the current moment as the current period, denote the current period as the j-th period, and obtain the first k unit detection periods before the j-th period. Among them, the k-th unit detection period before the j-th period is denoted as cor j-k , and respectively obtain the average values of the signal transmission correct rates of the first k unit detection periods, and calculate the correct rate reference value β. , where cor m represents the average value of the signal transmission correct rate of the m-th unit detection period among the first k unit detection periods, and satisfies the condition j - k ≥ 1.

[0067] For example, when the current period is the j-th period, the first period before the j-th period is the (j - 1)-th period, the second period before the j-th period is the (j - 2)-th period,..., and the k-th period before the j-th period is the (j - k)-th period.

[0068] In the embodiment, the signal transmission correct rate can use 1 - SER, where SER represents the bit error rate.

[0069] Step S500: Obtain the average values of several unit detection periods. When the correct rate of the analysis result of the replaced wireless signal is less than the average value, establish a new association relationship between the other associated segment of the two associated segments and the target signal segment to replace the original association relationship, set a protection threshold, and when the replacement frequency of the association relationship is higher than the protection threshold, give an alarm prompt to the relevant management personnel.

[0070] Among them, step S500 includes:

[0071] Step S501: Obtain the average value of the signal transmission correct rate of the j-th period, denoted as cor j , when cor j ≥β, maintain the association relationship between the repair segment and the corresponding associated segment in step S300.

[0072] Step S502: When cor j < β, adjust the association relationship between the repaired segment and the corresponding associated segment in step S300, and re-execute step S300. The adjustment method includes: if the first associated segment is adopted in step S300, then adjust to adopt the second associated segment when step S300 is executed next time; if the second associated segment is adopted in step S300, then adjust to adopt the first associated segment when step S300 is executed next time;

[0073] Step S503: Record the adjustment of the association relationship from the first associated segment to the second associated segment, or from the second associated segment to the first associated segment as one adjustment, and set an alarm period with a duration of T1, where T1 satisfies the condition: T1 > T0. When the number of adjustments exceeds P times within the alarm period, give an alarm prompt to the relevant management personnel, where P is a positive integer.

[0074] A test data management system for millimeter-wave communication devices, the system includes: a model management module, a signal acquisition module, a signal replacement module, an evaluation module, and an association adjustment module;

[0075] Among them, the model management module is used to train and manage the missing value filling model. The model management module includes: a historical record classification unit, an interference feature management unit, and a missing value filling model management unit. The historical record classification unit is used to collect the historical transmission records of wireless communication, and classify the historical transmission records into the first type of historical records and the second type of historical records. The interference feature management unit is used to manage the interference feature library. The missing value filling model management unit is used to manage the missing value filling model;

[0076] Among them, the signal acquisition module is used to collect the currently transmitted wireless signal and perform shard management on the wireless signal. The signal acquisition module includes: a transmission direction acquisition unit and a shard management unit. The transmission direction acquisition unit is used to obtain the transmission direction of the wireless signal. The shard management unit is used to perform shard management on the wireless signal;

[0077] Among them, the signal replacement module is used to obtain the repaired segment and replace the target signal segment. The signal replacement module includes: a repaired segment management unit, an associated slice management unit, a reference coefficient calculation unit, and a traversal unit. The repaired segment management unit is used to obtain the repaired segment through the missing value filling model. The associated slice management unit is used to obtain the associated slice of the target signal slice. The reference coefficient calculation unit is used to obtain the association relationship between the repaired slice and the associated slice and calculate the reference coefficient. The traversal unit is used to traverse the repaired segment to obtain the replacement segment;

[0078] Among them, the evaluation module is used to evaluate the accuracy rate of the parsing result of the signal. The evaluation module includes: an accuracy rate management unit and a replacement evaluation unit. The accuracy rate management unit is used to obtain and store the signal transmission accuracy rate in each unit detection period, and the replacement evaluation unit is used to evaluate the signal transmission accuracy rate of the replaced wireless signal;

[0079] Among them, the association adjustment module is used to adjust the association relationship of the target signal segment. The association adjustment module includes: an association relationship judgment unit, an association relationship adjustment unit, and an alarm prompt unit. The association relationship judgment unit is used to judge whether the association relationship is maintained, the association relationship adjustment unit is used to adjust the association relationship of the target signal slice, and the alarm prompt unit is used to monitor the adjustment frequency.

[0080] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A test data management method based on millimeter wave communication equipment, characterized in that: Step S100: collecting historical data of wireless communications, dividing the historical data into a data set with signal loss and a data set without signal loss, using the data in the data set to train a missing value filling model, and verifying the missing value filling model by simulating interference caused by signal loss; Step S200: collecting the currently transmitted wireless signal, obtaining a signal segment with signal loss in the wireless signal, taking the signal segment as a target signal segment, and taking two signal segments adjacent to the target signal segment as associated segments of the target signal; Step S300: obtaining several repair segments of the target signal segment through a missing value filling model, establishing an association relationship between one of the two associated segments and the target signal segment, selecting a repair segment with the smallest difference from the several repair segments according to the association relationship as a substitute segment, and replacing the target signal segment with the substitute segment; Step S400: inputting the wireless signal after replacing the target signal segment into the signal analysis terminal to obtain the accuracy of the signal analysis result; Step S500: Obtain the average value of several unit detection cycles. When the accuracy of the analysis result of the replaced wireless signal is less than the average value, establish a new association relationship between the other associated fragment of the two associated fragments and the target signal fragment to replace the original association relationship, set a protection threshold, and when the replacement frequency of the association relationship is higher than the protection threshold, issue an alarm to the relevant management personnel.

2. The test data management method based on millimeter wave communication equipment according to claim 1, characterized in that: Step S100 includes: Step S101: Collecting historical transmission records of wireless communications, and dividing the historical transmission records into a first category of historical records and a second category of historical records, wherein the first category of historical records includes historical transmission records in which signal loss occurs during wireless signal transmission, and the second category of historical records includes historical transmission records in which there is no signal loss during wireless signal transmission; Step S102: marking the first type of historical records according to the cause of signal loss to obtain interference cause labels, and collecting the interference cause labels to obtain an interference feature library; Step S103: obtaining an interference cause label or a combination of at least two interference cause labels from the interference feature library, generating an interference signal, simulating the wireless transmission signal in the second type of historical records to obtain a first simulation signal, interfering with the first simulation signal through the interference signal to obtain a second simulation signal, and collecting the second simulation signals to obtain a verification data set; Step S104: Use the second type of historical records as training data, train the missing value filling model through random forest, and verify the missing value filling model through the verification data set.

3. The test data management method based on millimeter wave communication equipment according to claim 2, characterized in that: Step S200 includes: Step S201: taking the currently transmitted wireless signal as the current transmission signal, obtaining the transmitter and receiver of the current transmission signal, and recording the direction from the transmitter to the receiver as the signal transmission direction; Step S202: Divide the current transmission signal into several signal segments, obtain a signal segment with signal loss in the current transmission signal, use the signal segment as a target signal segment, obtain a signal segment adjacent to the target signal segment along the signal transmission direction, record the segment as a first associated segment, obtain a signal segment adjacent to the target signal segment along the opposite direction of the signal transmission direction, and record the segment as a second associated segment.

4. The test data management method based on millimeter wave communication equipment according to claim 3, characterized in that: Step S300 includes: Step S301: Obtain N repair segments of a target signal segment through the missing value filling model, and obtain the distance between the i-th repair segment and the associated segment in the N repair segments, which is recorded as d i , the associated fragment is the first associated fragment or the second associated fragment; Step S302: Obtain a reference sample of the N repaired segments, where the reference sample is the average value or median of the N repaired segments, and record the distance between the i-th repaired segment in the N repaired segments and the reference sample as r i ; Step S303: Calculate the reference coefficient α of the i-th repair segment i , ; Step S304: traverse the N repair segments to obtain reference coefficients of the respective repair segments, use the repair segment with the smallest reference coefficient as a substitute segment, and replace the target signal segment with the substitute segment.

5. The test data management method based on millimeter wave communication equipment according to claim 4, characterized in that: Step S400 includes: Step S401: setting a unit detection period with a time length of T0, obtaining and storing the average value of the signal transmission accuracy rate in each unit detection period; Step S402: When the moment after the replacement of the substitute segment is completed is taken as the current moment, the unit detection cycle including the current moment is taken as the current cycle, the current cycle is recorded as the jth cycle, and the k unit detection cycles before the jth cycle are obtained, wherein the kth unit detection cycle before the jth cycle is recorded as cor j-k , respectively obtain the average value of the signal transmission accuracy of the first k unit detection cycles, and calculate the accuracy reference value β, , where cor m It represents the average value of the signal transmission accuracy of the mth unit detection cycle in the first k unit detection cycles, satisfying the condition jk≥1.

6. The test data management method based on millimeter wave communication equipment according to claim 5, characterized in that: Step S500 includes: Step S501: Obtain the average value of the signal transmission accuracy rate in the jth cycle, denoted as cor j , when cor j ≥β, the association relationship between the repaired segment and the corresponding associated segment in step S300 is maintained; Step S502: When cor j <β, adjusting the association relationship between the repair segment and the corresponding associated segment in step S300, and re-executing step S300, wherein the adjustment method includes: if the first associated segment is adopted in step S300, adjusting to adopt the second associated segment when step S300 is executed next time; if the second associated segment is adopted in step S300, adjusting to adopt the first associated segment when step S300 is executed next time; Step S503: Adjusting the association relationship from the first association segment to the second association segment, or from the second association segment to the first association segment is recorded as one adjustment, and an alarm period of T1 is set, where T1 satisfies the condition: T1>T0. When the number of adjustments within the alarm period exceeds P times, an alarm prompt is given to the relevant management personnel, where P is a positive integer.

7. A test data management system based on millimeter wave communication equipment, used to execute the test data management method based on millimeter wave communication equipment according to any one of claims 1 to 6, characterized in that: The system includes: A model management module, a signal acquisition module, a signal replacement module, an evaluation module and an association adjustment module, wherein the model management module is used to train and manage the missing value filling model, the signal acquisition module is used to collect the currently transmitted wireless signal and perform fragment management on the wireless signal, the signal replacement module is used to obtain the repair fragment and replace the target signal fragment, the evaluation module is used to evaluate the accuracy of the signal analysis result, and the association adjustment module is used to adjust the association relationship of the target signal fragment.

8. The test data management system based on millimeter wave communication equipment according to claim 7, characterized in that: The model management module includes: a historical record classification unit, an interference feature management unit and a missing value filling model management unit, wherein the historical record classification unit is used to collect historical transmission records of wireless communications and divide the historical transmission records into first-category historical records and second-category historical records, the interference feature management unit is used to manage an interference feature library, and the missing value filling model management unit is used to manage a missing value filling model; The signal acquisition module includes: a transmission direction acquisition unit and a slice management unit, wherein the transmission direction acquisition unit is used to obtain the transmission direction of the wireless signal, and the slice management unit is used to perform slice management on the wireless signal.

9. The test data management system based on millimeter wave communication equipment according to claim 7, characterized in that: The signal replacement module includes: a repair fragment management unit, an associated slice management unit, a reference coefficient calculation unit and a traversal unit, wherein the repair fragment management unit is used to obtain the repair fragment through the missing value filling model, the associated slice management unit is used to obtain the associated slice of the target signal slice, the reference coefficient calculation unit is used to obtain the association relationship between the repair slice and the associated slice, calculate the reference coefficient, and the traversal unit is used to traverse the repair fragment to obtain the replacement fragment.

10. The test data management system based on millimeter wave communication equipment according to claim 7, characterized in that: The evaluation module includes: an accuracy management unit and a replacement evaluation unit, wherein the accuracy management unit is used to obtain and store the signal transmission accuracy in each unit detection cycle, and the replacement evaluation unit is used to evaluate the signal transmission accuracy of the replaced wireless signal; The association adjustment module includes: an association relationship judgment unit, an association relationship adjustment unit and an alarm prompt unit, wherein the association relationship judgment unit is used to judge whether the association relationship is maintained, the association relationship adjustment unit is used to adjust the association relationship of the target signal slice, and the alarm prompt unit is used to monitor the adjustment frequency.

Images