CN117651289A - Data processing method and device for radio communication equipment test - Google Patents
Data processing method and device for radio communication equipment test Download PDFInfo
- Publication number
- CN117651289A CN117651289A CN202410108977.9A CN202410108977A CN117651289A CN 117651289 A CN117651289 A CN 117651289A CN 202410108977 A CN202410108977 A CN 202410108977A CN 117651289 A CN117651289 A CN 117651289A
- Authority
- CN
- China
- Prior art keywords
- test
- information
- scoring
- data information
- sequence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 675
- 238000004891 communication Methods 0.000 title claims abstract description 146
- 238000003672 processing method Methods 0.000 title claims abstract description 28
- 238000011156 evaluation Methods 0.000 claims abstract description 104
- 238000012545 processing Methods 0.000 claims abstract description 45
- 238000000034 method Methods 0.000 claims abstract description 44
- 238000005457 optimization Methods 0.000 claims abstract description 22
- 230000035755 proliferation Effects 0.000 claims description 46
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 238000013139 quantization Methods 0.000 claims description 5
- 238000007499 fusion processing Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a data processing method and a device for radio communication equipment test, wherein the method comprises the following steps: acquiring radio communication equipment test information; the radio communication equipment test information comprises M pieces of test data information to be processed; evaluating the test information of the radio communication equipment to obtain target test evaluation information; and carrying out classification optimization processing on the target test evaluation information to obtain target test result information.
Description
Technical Field
The present invention relates to the field of communications testing technologies, and in particular, to a data processing method and apparatus for testing radio communications devices.
Background
The traditional radio communication equipment test lacks pertinence, and along with innovation and upgrading of a communication system, the software radio communication equipment structure is more and more complicated, and the communication function is more diversified, so that the difficulty of the radio communication equipment test is increased. Therefore, the data processing method and the data processing device for the radio communication equipment test are provided, so that the accuracy and the efficiency of the radio communication equipment test are improved, and the pertinence and the reliability of the radio communication equipment test are further improved.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a data processing method and a data processing device for testing radio communication equipment, which are beneficial to improving the testing accuracy and the testing efficiency of the radio communication equipment, thereby improving the testing pertinence and the reliability of the radio communication equipment.
To solve the above technical problem, a first aspect of an embodiment of the present invention discloses a data processing method for testing a radio communication device, where the method includes:
acquiring radio communication equipment test information; the radio communication equipment test information comprises M pieces of test data information to be processed;
scoring the radio communication equipment test information to obtain test scoring value information; the test score value information comprises the M test score values;
randomly selecting N pieces of to-be-processed test data information from the radio communication equipment test information to obtain first test data information; the first test data information comprises the N first test information to be processed; each piece of first to-be-processed test information corresponds to one piece of to-be-processed test data information; the N is a positive integer smaller than the M;
performing reject update on the radio communication device test information using the first test data information;
Sequencing all the first to-be-processed test information in the first test data information according to the test grading values corresponding to the first to-be-processed test information from large to small to obtain a first test data information sequence;
calculating the first test data information sequence by using a first scoring model to obtain a first sequence scoring value;
wherein the first scoring model is:
；
in the method, in the process of the invention,scoring the first sequence; />For the first test data information sequence +.>The test scoring values corresponding to the first test information to be processed;
judging whether the number of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a number judgment result;
when the number judgment result is yes, randomly selecting L pieces of to-be-processed test data information from the radio communication equipment test information to obtain second test data information; the second test data information comprises the L second test information to be processed; each piece of second to-be-processed test information corresponds to one piece of to-be-processed test data information;
performing reject update on the radio communication device test information using the second test data information;
Replacing the second to-be-processed test information in the second test data information with the L first to-be-processed test information after the first test data information sequence is sequenced, so as to obtain a second test data information sequence;
calculating the second test data information sequence by using a second scoring model to obtain a second sequence scoring value;
wherein the second scoring model is:
；
in the method, in the process of the invention,scoring the second sequence; />For the +.>The test scoring values corresponding to the second to-be-processed test information;
judging whether the second sequence score value is larger than the first sequence score value or not to obtain a first score value judgment result;
when the first scoring value judging result is yes, respectively replacing and updating the first testing data information sequence and the first sequence scoring value by using the second testing data information sequence and the second sequence scoring value, and triggering and executing the judgment of whether the quantity of the to-be-processed testing data information in the radio communication equipment testing information is greater than or equal to K to obtain a quantity judging result;
when the first scoring value judging result is negative, triggering and executing the judgment of whether the quantity of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a quantity judging result;
When the number judgment result is negative, determining target test evaluation information based on the radio communication equipment test information, the first test data information sequence and the first sequence score value; the target test evaluation information comprises a plurality of pieces of target test data information; each of the target test data information corresponds to one of the test score values;
and carrying out classification optimization processing on the target test evaluation information to obtain target test result information.
A second aspect of an embodiment of the present invention discloses a data processing apparatus for radio communication device testing, the apparatus comprising:
the acquisition module is used for acquiring the radio communication equipment test information; the radio communication equipment test information comprises M pieces of test data information to be processed;
the first processing module is used for scoring the radio communication equipment test information to obtain test scoring value information; the test score value information comprises the M test score values;
randomly selecting N pieces of to-be-processed test data information from the radio communication equipment test information to obtain first test data information; the first test data information comprises the N first test information to be processed; each piece of first to-be-processed test information corresponds to one piece of to-be-processed test data information; the N is a positive integer smaller than the M;
Performing reject update on the radio communication device test information using the first test data information;
sequencing all the first to-be-processed test information in the first test data information according to the test grading values corresponding to the first to-be-processed test information from large to small to obtain a first test data information sequence;
calculating the first test data information sequence by using a first scoring model to obtain a first sequence scoring value;
wherein the first scoring model is:
；
in the method, in the process of the invention,scoring the first sequence; />For the first test data information sequence +.>The test scoring values corresponding to the first test information to be processed;
judging whether the number of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a number judgment result;
when the number judgment result is yes, randomly selecting L pieces of to-be-processed test data information from the radio communication equipment test information to obtain second test data information; the second test data information comprises the L second test information to be processed; each piece of second to-be-processed test information corresponds to one piece of to-be-processed test data information;
Performing reject update on the radio communication device test information using the second test data information;
replacing the second to-be-processed test information in the second test data information with the L first to-be-processed test information after the first test data information sequence is sequenced, so as to obtain a second test data information sequence;
calculating the second test data information sequence by using a second scoring model to obtain a second sequence scoring value;
wherein the second scoring model is:
；
in the method, in the process of the invention,scoring the second sequence; />For the +.>The test scoring values corresponding to the second to-be-processed test information;
judging whether the second sequence score value is larger than the first sequence score value or not to obtain a first score value judgment result;
when the first scoring value judging result is yes, respectively replacing and updating the first testing data information sequence and the first sequence scoring value by using the second testing data information sequence and the second sequence scoring value, and triggering and executing the judgment of whether the quantity of the to-be-processed testing data information in the radio communication equipment testing information is greater than or equal to K to obtain a quantity judging result;
When the first scoring value judging result is negative, triggering and executing the judgment of whether the quantity of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a quantity judging result;
when the number judgment result is negative, determining target test evaluation information based on the radio communication equipment test information, the first test data information sequence and the first sequence score value; the target test evaluation information comprises a plurality of pieces of target test data information; each of the target test data information corresponds to one of the test score values;
and the second processing module is used for carrying out classification optimization processing on the target test evaluation information to obtain target test result information.
A third aspect of the present invention discloses another data processing apparatus for radio communication device testing, the apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes executable program code stored in the memory to perform some or all of the steps in the data processing method for radio communication device testing disclosed in the first aspect of the embodiment of the present invention.
A fourth aspect of the invention discloses a computer readable storage medium storing computer instructions which, when invoked, are adapted to perform part or all of the steps of a data processing method for radio communications device testing disclosed in the first aspect of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a data processing method for radio communication device testing according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a data processing apparatus for radio communication device testing according to an embodiment of the present invention;
fig. 3 is a schematic diagram of another data processing apparatus for radio communication device testing according to an embodiment of the present invention.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or elements but may, in the alternative, include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses a data processing method and a data processing device for testing radio communication equipment, which are beneficial to improving the testing accuracy and the testing efficiency of the radio communication equipment, thereby improving the testing pertinence and the reliability of the radio communication equipment. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a flow chart of a data processing method for testing a radio communication device according to an embodiment of the present invention. The data processing method for testing the radio communication device described in fig. 1 is applied to a management system, such as a local server or a cloud server for management, which is not limited in the embodiments of the present invention. As shown in fig. 1, the data processing method for radio communication device testing may include the operations of:
101. and acquiring radio communication equipment test information.
In the embodiment of the invention, the radio communication equipment test information comprises M pieces of test data information to be processed.
102. And carrying out evaluation processing on the radio communication equipment test information to obtain target test evaluation information.
In the embodiment of the present invention, the evaluation processing is performed on the test information of the radio communication device to obtain target test evaluation information, including:
scoring the radio communication equipment test information to obtain test scoring value information; the test score value information comprises M test score values;
randomly selecting N pieces of test data information to be processed from the test information of the radio communication equipment to obtain first test data information; the first test data information comprises N pieces of first test information to be processed; each piece of first test information to be processed corresponds to one piece of test data information to be processed; n is a positive integer less than M;
Performing reject update on radio communication device test information using the first test data information;
sequencing all first to-be-processed test information in the first test data information according to the test scoring values corresponding to the first to-be-processed test information from large to small to obtain a first test data information sequence;
calculating the first test data information sequence by using a first scoring model to obtain a first sequence scoring value;
wherein the first scoring model is:
；
in the method, in the process of the invention,scoring the first sequence; />For the +.>Test scoring values corresponding to the first test information to be processed;
judging whether the number of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a number judgment result;
when the number judgment result is yes, randomly selecting L pieces of to-be-processed test data information from the radio communication equipment test information to obtain second test data information; the second test data information comprises L second test information to be processed; each piece of second test information to be processed corresponds to one piece of test data information to be processed;
performing reject update on the radio communication device test information using the second test data information;
Replacing the L pieces of first to-be-processed test information with the second to-be-processed test information in the second test data information, which are sequenced back by the first test data information sequence, to obtain a second test data information sequence;
calculating the second test data information sequence by using a second scoring model to obtain a second sequence scoring value;
wherein the second scoring model is:
；
in the method, in the process of the invention,scoring the second sequence; />For the +.>Test scoring values corresponding to the second to-be-processed test information;
judging whether the second sequence score value is larger than the first sequence score value or not to obtain a first score value judgment result;
when the first scoring value judging result is yes, respectively replacing and updating the first testing data information sequence and the first sequence scoring value by using the second testing data information sequence and the second sequence scoring value, and triggering and executing to judge whether the quantity of the testing data information to be processed in the testing information of the radio communication equipment is more than or equal to K, so as to obtain a quantity judging result;
when the first scoring value judging result is negative, triggering and executing to judge whether the quantity of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a quantity judging result;
When the number judgment result is negative, determining target test evaluation information based on the radio communication equipment test information, the first test data information sequence and the first sequence score value; the target test evaluation information comprises a plurality of target test data information; each target test data information corresponds to a test score value.
103. And carrying out classification optimization processing on the target test evaluation information to obtain target test result information.
It should be noted that, by adopting the data processing method for testing the radio communication equipment, the difficulty of testing the radio communication equipment can be reduced, and the testing efficiency can be further improved.
Therefore, the implementation of the data processing method for testing the radio communication equipment described by the embodiment of the invention is beneficial to improving the accuracy and the efficiency of testing the radio communication equipment, thereby improving the pertinence and the reliability of testing the radio communication equipment.
In an optional embodiment, determining the target test evaluation information based on the radio communication device test information, the first test data information sequence, and the first sequence score value includes:
determining the radio communication equipment test information as third test data information; the third test data information comprises P pieces of third test information to be processed; each piece of third to-be-processed test information corresponds to one piece of to-be-processed test data information;
Replacing the L pieces of first to-be-processed test information with the third to-be-processed test information in the third test data information, which are sequenced back by the first test data information sequence, to obtain a third test data information sequence;
calculating a third test data information sequence by using a third scoring model to obtain a third sequence scoring value;
wherein the third scoring model is:
；
in the method, in the process of the invention,scoring a third sequence; />For the third test data information sequence +.>Test scoring values corresponding to the third to-be-processed test information;
judging whether the third sequence score value is larger than the first sequence score value or not to obtain a second score value judgment result;
when the second scoring value is judged to be yes, determining target test evaluation information based on a third test data information sequence;
and when the second scoring value judging result is negative, determining target test evaluation information based on the first test data information sequence.
It should be noted that, the above-mentioned ordering the third to-be-processed test information in the third test data information to replace the first test data information sequence is ordering the last L first to-be-processed test information in the third test data information to replace the first test data information sequence one by one according to the test grading value from large to small. For example, the test score values corresponding to the third to-be-processed test information are CA1 (6 minutes), CA2 (5 minutes), and CA3 (3 minutes), the first test data information sequence is (XA 1, XA2, XA3, XA4, XA5, XA 6), and the updated third test data information sequence is (XA 1, XA2, XA3, CA1, CA2, and CA 3).
It should be noted that, based on the third test data information sequence, the determination of the target test evaluation information is to determine the third to-be-processed test information in the third test data information sequence as the target test data information. Further, the test score value is also correspondingly associated with the target test data information.
It should be noted that, based on the first test data information sequence, it is determined that the target test evaluation information is to determine the first to-be-processed test information in the third test data information sequence as the target test data information.
In another alternative embodiment, scoring the radio communication device test information to obtain test score value information includes:
obtaining scoring weight information; the scoring weight information comprises a first scoring weight value, a second scoring weight value, a third scoring weight value and a fourth scoring weight value which are sequentially arranged from large to small;
test score value information is determined based on the scoring weight information and the radio communication device test information.
The sum of the first scoring weight value, the second scoring weight value, the third scoring weight value, and the fourth scoring weight value is 1.
It should be noted that, the first scoring weight value is not equal to the fourth scoring weight value.
In yet another alternative embodiment, determining test score value information based on the scoring weight information and the radio communication device test information includes:
for any piece of to-be-processed test data information in the test information of the radio communication equipment, carrying out quantization scoring processing on the to-be-processed test data information to obtain initial scoring value information corresponding to the to-be-processed test data information; the initial scoring value information comprises a first scoring value, a second scoring value, a third scoring value and a fourth scoring value;
calculating the initial scoring value information and the scoring weight information by using a fourth scoring model to obtain a testing scoring value corresponding to the to-be-processed testing data information;
wherein the fourth scoring model is:
PF=w1*FZ1+ w2*FZ2+ w3*FZ3+ w4*FZ4；
wherein PF is a test score value; w1, w2, w3 and w4 are a first scoring weight value, a second scoring weight value, a third scoring weight value and a fourth scoring weight value, respectively; FZ1, FZ2, FZ3, and FZ4 are a first score value, a second score value, a third score value, and a fourth score value, respectively.
It should be noted that, the quantization scoring processing for the to-be-processed test data information may be implemented based on a neural network, or may be implemented by sequentially performing quantization scoring based on a plurality of scoring rules set by a user, which is not limited by the embodiment of the present invention.
In yet another alternative embodiment, the classifying and optimizing the target test evaluation information to obtain target test result information includes:
classifying the target test evaluation information to obtain classified test evaluation information; the classified test evaluation information comprises Y pieces of test evaluation information to be optimized; each piece of test evaluation information to be optimized comprises a plurality of pieces of test data information to be optimized; each piece of test data information to be optimized corresponds to one piece of target test data information;
and determining target test result information based on the classification test evaluation information.
It should be noted that, the above classification processing of the target test evaluation information may be implemented based on a clustering algorithm, or may be implemented based on an input operation of a user, where each target test data information is classified in turn, which is not limited by the embodiment of the present invention.
In an optional embodiment, determining the target test result information based on the classification test evaluation information includes:
optimizing the test evaluation information to be optimized for any test evaluation information to be optimized to obtain target optimized test evaluation information corresponding to the test evaluation information to be optimized;
And carrying out fusion processing on all the target optimization test evaluation information to obtain target test result information.
It should be noted that, the above-mentioned fusion processing of all the target optimization test evaluation information is to sort all the target optimization test evaluation information sequentially from large to small according to the test score value, and then splice the sorted target optimization test evaluation information sequentially, so as to obtain the target test result information.
In another optional embodiment, performing optimization processing on the to-be-optimized test evaluation information to obtain target optimized test evaluation information corresponding to the to-be-optimized test evaluation information, where the method includes:
selecting to-be-optimized test data information corresponding to the maximum test grading value from the to-be-optimized test evaluation information as alternative test data information;
carrying out data proliferation on the test evaluation information to be optimized to obtain proliferation test data information;
grading the proliferation test data information to obtain proliferation grading values;
judging whether the proliferation score value is larger than the test score value corresponding to the alternative test data information, and obtaining a proliferation judgment result;
when the proliferation judgment result is yes, replacing and updating the alternative test data information by using the proliferation test data information;
When the proliferation judgment result is negative, ending the judgment flow corresponding to the proliferation judgment result;
acquiring the number of data proliferation times;
judging whether the data proliferation times are larger than a times threshold value or not to obtain times judgment results;
when the number of times of judgment results are yes, triggering and executing data proliferation on the test evaluation information to be optimized to obtain proliferation test data information;
and when the number of times of judgment results are negative, determining that the alternative test data information is target optimization test evaluation information corresponding to the test evaluation information to be optimized.
It should be noted that, the data proliferation of the test evaluation information to be optimized is derived from the test evaluation information to be optimized, which may be obtained based on mutation or crossover operation of a genetic algorithm, may be directly obtained based on a neural network, may be obtained through an interpolation method, and the embodiment of the present invention is not limited.
It should be noted that, the scoring processing for the proliferation test data information may be implemented based on the fourth scoring model, or may be implemented based on a scoring rule set by a user, which is not limited in the embodiment of the present invention.
It should be noted that, the number of data proliferation times is automatically increased by 1 each time the data proliferation is performed on the test evaluation information to be optimized, and the initial value is 0.
It should be noted that, the frequency threshold may be set by a user, or may be obtained by averaging based on a historical frequency threshold, which is not limited by the embodiment of the present invention.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of a data processing apparatus for testing a radio communication device according to an embodiment of the present invention. The device described in fig. 2 can be applied to a warehouse management system, such as a local server or a cloud server for data processing management of warehouse logistics for radio communication equipment testing, and the embodiment of the invention is not limited. As shown in fig. 2, the apparatus may include:
an acquisition module 201, configured to acquire radio communication device test information; the radio communication equipment test information comprises M pieces of test data information to be processed;
a first processing module 202, configured to score the radio communication device test information to obtain test score value information; the test score value information comprises M test score values;
randomly selecting N pieces of test data information to be processed from the test information of the radio communication equipment to obtain first test data information; the first test data information comprises N pieces of first test information to be processed; each piece of first test information to be processed corresponds to one piece of test data information to be processed; n is a positive integer less than M;
Performing reject update on radio communication device test information using the first test data information;
sequencing all first to-be-processed test information in the first test data information according to the test scoring values corresponding to the first to-be-processed test information from large to small to obtain a first test data information sequence;
calculating the first test data information sequence by using a first scoring model to obtain a first sequence scoring value;
wherein the first scoring model is:
；
in the method, in the process of the invention,scoring the first sequence; />For the +.>Test scoring values corresponding to the first test information to be processed;
judging whether the number of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a number judgment result;
when the number judgment result is yes, randomly selecting L pieces of to-be-processed test data information from the radio communication equipment test information to obtain second test data information; the second test data information comprises L second test information to be processed; each piece of second test information to be processed corresponds to one piece of test data information to be processed;
performing reject update on the radio communication device test information using the second test data information;
Replacing the L pieces of first to-be-processed test information with the second to-be-processed test information in the second test data information, which are sequenced back by the first test data information sequence, to obtain a second test data information sequence;
calculating the second test data information sequence by using a second scoring model to obtain a second sequence scoring value;
wherein the second scoring model is:
；
in the method, in the process of the invention,scoring the second sequence; />For the +.>Test scoring values corresponding to the second to-be-processed test information;
judging whether the second sequence score value is larger than the first sequence score value or not to obtain a first score value judgment result;
when the first scoring value judging result is yes, respectively replacing and updating the first testing data information sequence and the first sequence scoring value by using the second testing data information sequence and the second sequence scoring value, and triggering and executing to judge whether the quantity of the testing data information to be processed in the testing information of the radio communication equipment is more than or equal to K, so as to obtain a quantity judging result;
when the first scoring value judging result is negative, triggering and executing to judge whether the quantity of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a quantity judging result;
When the number judgment result is negative, determining target test evaluation information based on the radio communication equipment test information, the first test data information sequence and the first sequence score value; the target test evaluation information comprises a plurality of target test data information; each target test data information corresponds to a test score value;
and the second processing module 203 is configured to perform a classification optimization process on the target test evaluation information to obtain target test result information.
It can be seen that implementing the data processing apparatus for testing a radio communication device described in fig. 2 is advantageous for improving the accuracy and efficiency of testing a radio communication device, thereby improving the pertinence and reliability of testing a radio communication device.
In another alternative embodiment, as shown in fig. 2, the first processing module 202 determines the target test evaluation information based on the radio communication device test information, the first test data information sequence, and the first sequence score value, including:
determining the radio communication equipment test information as third test data information; the third test data information comprises P pieces of third test information to be processed; each piece of third to-be-processed test information corresponds to one piece of to-be-processed test data information;
Replacing the L pieces of first to-be-processed test information with the third to-be-processed test information in the third test data information, which are sequenced back by the first test data information sequence, to obtain a third test data information sequence;
calculating a third test data information sequence by using a third scoring model to obtain a third sequence scoring value;
wherein the third scoring model is:
；
in the method, in the process of the invention,scoring a third sequence; />For the third test data information sequence +.>Test scoring values corresponding to the third to-be-processed test information;
judging whether the third sequence score value is larger than the first sequence score value or not to obtain a second score value judgment result;
when the second scoring value is judged to be yes, determining target test evaluation information based on a third test data information sequence;
and when the second scoring value judging result is negative, determining target test evaluation information based on the first test data information sequence.
In yet another alternative embodiment, as shown in fig. 2, the first processing module 202 performs scoring processing on radio communication device test information to obtain test score value information, including:
obtaining scoring weight information; the scoring weight information comprises a first scoring weight value, a second scoring weight value, a third scoring weight value and a fourth scoring weight value which are sequentially arranged from large to small;
Test score value information is determined based on the scoring weight information and the radio communication device test information.
In yet another alternative embodiment, as shown in fig. 2, the first processing module 202 determines test score value information based on the score weight information and the radio communication device test information, including:
for any piece of to-be-processed test data information in the test information of the radio communication equipment, carrying out quantization scoring processing on the to-be-processed test data information to obtain initial scoring value information corresponding to the to-be-processed test data information; the initial scoring value information comprises a first scoring value, a second scoring value, a third scoring value and a fourth scoring value;
calculating the initial scoring value information and the scoring weight information by using a fourth scoring model to obtain a testing scoring value corresponding to the to-be-processed testing data information;
wherein the fourth scoring model is:
PF=w1*FZ1+ w2*FZ2+ w3*FZ3+ w4*FZ4；
wherein PF is a test score value; w1, w2, w3 and w4 are a first scoring weight value, a second scoring weight value, a third scoring weight value and a fourth scoring weight value, respectively; FZ1, FZ2, FZ3, and FZ4 are a first score value, a second score value, a third score value, and a fourth score value, respectively.
In yet another alternative embodiment, as shown in fig. 2, the second processing module 203 performs a classification optimization process on the target test evaluation information to obtain target test result information, including:
classifying the target test evaluation information to obtain classified test evaluation information; the classified test evaluation information comprises Y pieces of test evaluation information to be optimized; each piece of test evaluation information to be optimized comprises a plurality of pieces of test data information to be optimized; each piece of test data information to be optimized corresponds to one piece of target test data information;
and determining target test result information based on the classification test evaluation information.
In yet another alternative embodiment, as shown in fig. 2, the second processing module 203 determines the target test result information based on the classification test evaluation information, including:
optimizing the test evaluation information to be optimized for any test evaluation information to be optimized to obtain target optimized test evaluation information corresponding to the test evaluation information to be optimized;
and carrying out fusion processing on all the target optimization test evaluation information to obtain target test result information.
In yet another alternative embodiment, as shown in fig. 2, the second processing module 203 performs optimization processing on the to-be-optimized test evaluation information to obtain target optimized test evaluation information corresponding to the to-be-optimized test evaluation information, where the method includes:
Selecting to-be-optimized test data information corresponding to the maximum test grading value from the to-be-optimized test evaluation information as alternative test data information;
carrying out data proliferation on the test evaluation information to be optimized to obtain proliferation test data information;
grading the proliferation test data information to obtain proliferation grading values;
judging whether the proliferation score value is larger than the test score value corresponding to the alternative test data information, and obtaining a proliferation judgment result;
when the proliferation judgment result is yes, replacing and updating the alternative test data information by using the proliferation test data information;
when the proliferation judgment result is negative, ending the judgment flow corresponding to the proliferation judgment result;
acquiring the number of data proliferation times;
judging whether the data proliferation times are larger than a times threshold value or not to obtain times judgment results;
when the number of times of judgment results are yes, triggering and executing data proliferation on the test evaluation information to be optimized to obtain proliferation test data information;
and when the number of times of judgment results are negative, determining that the alternative test data information is target optimization test evaluation information corresponding to the test evaluation information to be optimized.
Example III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a data processing apparatus for testing a radio communication device according to another embodiment of the present invention. The device described in fig. 3 can be applied to a warehouse management system, such as a local server or a cloud server for data processing management of warehouse logistics for radio communication equipment test, and the embodiment of the invention is not limited. As shown in fig. 3, the apparatus may include:
A memory 301 storing executable program code;
a processor 302 coupled with the memory 301;
the processor 302 invokes executable program code stored in the memory 301 for performing the steps in the data processing method for radio communication device testing described in embodiment one.
Example IV
The embodiment of the invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps in the data processing method for radio communication device testing described in the embodiment one.
Example five
The present invention discloses a computer program product comprising a non-transitory computer readable storage medium storing a computer program and operable to cause a computer to perform the steps of the data processing method for radio communication device testing described in embodiment one.
The apparatus embodiments described above are merely illustrative, in which the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the disclosure of a data processing method and apparatus for testing a radio communication device in the embodiments of the present invention is only a preferred embodiment of the present invention, and is only for illustrating the technical scheme of the present invention, but not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A data processing method for radio communication device testing, the method comprising:
acquiring radio communication equipment test information; the radio communication equipment test information comprises M pieces of test data information to be processed;
scoring the radio communication equipment test information to obtain test scoring value information; the test score value information comprises the M test score values;
randomly selecting N pieces of to-be-processed test data information from the radio communication equipment test information to obtain first test data information; the first test data information comprises the N first test information to be processed; each piece of first to-be-processed test information corresponds to one piece of to-be-processed test data information; the N is a positive integer smaller than the M;
Performing reject update on the radio communication device test information using the first test data information;
sequencing all the first to-be-processed test information in the first test data information according to the test grading values corresponding to the first to-be-processed test information from large to small to obtain a first test data information sequence;
calculating the first test data information sequence by using a first scoring model to obtain a first sequence scoring value;
wherein the first scoring model is:
；
in the method, in the process of the invention,scoring the first sequence; />For the first test data information sequence +.>The test scoring values corresponding to the first test information to be processed;
judging whether the number of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a number judgment result;
when the number judgment result is yes, randomly selecting L pieces of to-be-processed test data information from the radio communication equipment test information to obtain second test data information; the second test data information comprises the L second test information to be processed; each piece of second to-be-processed test information corresponds to one piece of to-be-processed test data information;
Performing reject update on the radio communication device test information using the second test data information;
replacing the second to-be-processed test information in the second test data information with the L first to-be-processed test information after the first test data information sequence is sequenced, so as to obtain a second test data information sequence;
calculating the second test data information sequence by using a second scoring model to obtain a second sequence scoring value;
wherein the second scoring model is:
；
in the method, in the process of the invention,scoring the second sequence; />For the +.>The test scoring values corresponding to the second to-be-processed test information;
judging whether the second sequence score value is larger than the first sequence score value or not to obtain a first score value judgment result;
when the first scoring value judging result is yes, respectively replacing and updating the first testing data information sequence and the first sequence scoring value by using the second testing data information sequence and the second sequence scoring value, and triggering and executing the judgment of whether the quantity of the to-be-processed testing data information in the radio communication equipment testing information is greater than or equal to K to obtain a quantity judging result;
When the first scoring value judging result is negative, triggering and executing the judgment of whether the quantity of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a quantity judging result;
when the number judgment result is negative, determining target test evaluation information based on the radio communication equipment test information, the first test data information sequence and the first sequence score value; the target test evaluation information comprises a plurality of pieces of target test data information; each of the target test data information corresponds to one of the test score values;
and carrying out classification optimization processing on the target test evaluation information to obtain target test result information.
2. The data processing method for radio communication device testing according to claim 1, wherein the determining target test evaluation information based on the radio communication device test information, the first test data information sequence, and the first sequence score value comprises:
determining the radio communication device test information as third test data information; the third test data information comprises P pieces of third test information to be processed; each piece of third to-be-processed test information corresponds to one piece of to-be-processed test data information;
Replacing the third to-be-processed test information in the third test data information with the L first to-be-processed test information after the first test data information sequence is sequenced, so as to obtain a third test data information sequence;
calculating the third test data information sequence by using a third scoring model to obtain a third sequence scoring value;
wherein the third scoring model is:
；
in the method, in the process of the invention,scoring the third sequence; />For the third test data information sequence +.>The test scoring values corresponding to the third to-be-processed test information;
judging whether the third sequence score value is larger than the first sequence score value or not to obtain a second score value judgment result;
when the second scoring value judging result is yes, determining target test evaluation information based on the third test data information sequence;
and when the second scoring value judging result is negative, determining the target test evaluation information based on the first test data information sequence.
3. The data processing method for testing a radio communication device according to claim 1, wherein the scoring the radio communication device test information to obtain test score value information comprises:
Obtaining scoring weight information; the scoring weight information comprises a first scoring weight value, a second scoring weight value, a third scoring weight value and a fourth scoring weight value which are sequentially arranged from large to small;
and determining test score value information based on the score weight information and the radio communication device test information.
4. A data processing method for radio communication device testing according to claim 3, wherein said determining test score value information based on said score weight information and said radio communication device testing information comprises:
for any piece of to-be-processed test data information in the radio communication equipment test information, carrying out quantization scoring processing on the to-be-processed test data information to obtain initial scoring value information corresponding to the to-be-processed test data information; the initial scoring value information comprises a first scoring value, a second scoring value, a third scoring value and a fourth scoring value;
calculating the initial scoring value information and the scoring weight information by using a fourth scoring model to obtain a testing scoring value corresponding to the to-be-processed testing data information;
wherein the fourth scoring model is:
PF=w1*FZ1+ w2*FZ2+ w3*FZ3+ w4*FZ4；
Wherein PF is the test score value; w1, w2, w3, and w4 are the first scoring weight value, the second scoring weight value, the third scoring weight value, and the fourth scoring weight value, respectively; FZ1, FZ2, FZ3 and FZ4 are the first score value, the second score value, the third score value and the fourth score value, respectively.
5. The data processing method for radio communication device testing according to claim 1, wherein the performing a classification optimization process on the target test evaluation information to obtain target test result information includes:
classifying the target test evaluation information to obtain classified test evaluation information; the classified test evaluation information comprises Y pieces of test evaluation information to be optimized; each piece of test evaluation information to be optimized comprises a plurality of pieces of test data information to be optimized; each piece of to-be-optimized test data information corresponds to one piece of target test data information;
and determining target test result information based on the classification test evaluation information.
6. The data processing method for radio communication device testing according to claim 5, wherein the determining target test result information based on the classification test evaluation information comprises:
Carrying out optimization processing on any piece of test evaluation information to be optimized to obtain target optimization test evaluation information corresponding to the test evaluation information to be optimized;
and carrying out fusion processing on all the target optimization test evaluation information to obtain target test result information.
7. The method for data processing for radio communication equipment testing according to claim 6, wherein the optimizing the test evaluation information to be optimized to obtain target optimized test evaluation information corresponding to the test evaluation information to be optimized includes:
selecting the data information to be optimized corresponding to the maximum test grading value from the test evaluation information to be optimized as alternative test data information;
carrying out data proliferation on the test evaluation information to be optimized to obtain proliferation test data information;
grading the proliferation test data information to obtain proliferation grading values;
judging whether the proliferation score value is larger than the test score value corresponding to the alternative test data information, and obtaining a proliferation judgment result;
when the proliferation judgment result is yes, replacing and updating the alternative test data information by utilizing the proliferation test data information;
When the proliferation judgment result is negative, ending the judgment flow corresponding to the proliferation judgment result;
acquiring the number of data proliferation times;
judging whether the data proliferation times are larger than a times threshold value or not to obtain times judgment results;
when the number of times is judged to be yes, triggering and executing the data proliferation of the test evaluation information to be optimized to obtain proliferation test data information;
and when the frequency judgment result is negative, determining that the alternative test data information is the target optimization test evaluation information corresponding to the test evaluation information to be optimized.
8. A data processing apparatus for radio communications device testing, the apparatus comprising:
the acquisition module is used for acquiring the radio communication equipment test information; the radio communication equipment test information comprises M pieces of test data information to be processed;
the first processing module is used for scoring the radio communication equipment test information to obtain test scoring value information; the test score value information comprises the M test score values;
randomly selecting N pieces of to-be-processed test data information from the radio communication equipment test information to obtain first test data information; the first test data information comprises the N first test information to be processed; each piece of first to-be-processed test information corresponds to one piece of to-be-processed test data information; the N is a positive integer smaller than the M;
Performing reject update on the radio communication device test information using the first test data information;
sequencing all the first to-be-processed test information in the first test data information according to the test grading values corresponding to the first to-be-processed test information from large to small to obtain a first test data information sequence;
calculating the first test data information sequence by using a first scoring model to obtain a first sequence scoring value;
wherein the first scoring model is:
；
in the method, in the process of the invention,scoring the first sequence; />For the first test data information sequence +.>The test scoring values corresponding to the first test information to be processed;
judging whether the number of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a number judgment result;
when the number judgment result is yes, randomly selecting L pieces of to-be-processed test data information from the radio communication equipment test information to obtain second test data information; the second test data information comprises the L second test information to be processed; each piece of second to-be-processed test information corresponds to one piece of to-be-processed test data information;
Performing reject update on the radio communication device test information using the second test data information;
replacing the second to-be-processed test information in the second test data information with the L first to-be-processed test information after the first test data information sequence is sequenced, so as to obtain a second test data information sequence;
calculating the second test data information sequence by using a second scoring model to obtain a second sequence scoring value;
wherein the second scoring model is:
；
in the method, in the process of the invention,scoring the second sequence; />For the +.>The test scoring values corresponding to the second to-be-processed test information;
judging whether the second sequence score value is larger than the first sequence score value or not to obtain a first score value judgment result;
when the first scoring value judging result is yes, respectively replacing and updating the first testing data information sequence and the first sequence scoring value by using the second testing data information sequence and the second sequence scoring value, and triggering and executing the judgment of whether the quantity of the to-be-processed testing data information in the radio communication equipment testing information is greater than or equal to K to obtain a quantity judging result;
When the first scoring value judging result is negative, triggering and executing the judgment of whether the quantity of the to-be-processed test data information in the radio communication equipment test information is greater than or equal to K, and obtaining a quantity judging result;
when the number judgment result is negative, determining target test evaluation information based on the radio communication equipment test information, the first test data information sequence and the first sequence score value; the target test evaluation information comprises a plurality of pieces of target test data information; each of the target test data information corresponds to one of the test score values;
and the second processing module is used for carrying out classification optimization processing on the target test evaluation information to obtain target test result information.
9. A data processing apparatus for radio communications device testing, the apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the data processing method for radio communication device testing as claimed in any one of claims 1-7.
10. A computer readable storage medium storing computer instructions which, when invoked, are adapted to perform a data processing method for radio communication device testing according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410108977.9A CN117651289B (en) | 2024-01-26 | 2024-01-26 | Data processing method and device for radio communication equipment test |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410108977.9A CN117651289B (en) | 2024-01-26 | 2024-01-26 | Data processing method and device for radio communication equipment test |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117651289A true CN117651289A (en) | 2024-03-05 |
| CN117651289B CN117651289B (en) | 2024-04-05 |
Family
ID=90046275
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410108977.9A Active CN117651289B (en) | 2024-01-26 | 2024-01-26 | Data processing method and device for radio communication equipment test |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117651289B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150262067A1 (en) * | 2014-03-13 | 2015-09-17 | Qualcomm Incorporated | Behavioral Analysis for Securing Peripheral Devices |
| WO2020137096A1 (en) * | 2018-12-27 | 2020-07-02 | 三菱電機株式会社 | Test device, and development support device |
| CN115119197A (en) * | 2022-06-22 | 2022-09-27 | 唐人通信技术服务股份有限公司 | Wireless network risk analysis method, device, equipment and medium based on big data |
| CN115378744A (en) * | 2022-10-25 | 2022-11-22 | 天津丈八网络安全科技有限公司 | Network security test evaluation system and method |
| CN115455089A (en) * | 2022-11-09 | 2022-12-09 | 西安弘捷电子技术有限公司 | Performance evaluation method and system of passive component and storage medium |
-
2024
- 2024-01-26 CN CN202410108977.9A patent/CN117651289B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150262067A1 (en) * | 2014-03-13 | 2015-09-17 | Qualcomm Incorporated | Behavioral Analysis for Securing Peripheral Devices |
| CN106104555A (en) * | 2014-03-13 | 2016-11-09 | 高通股份有限公司 | For protecting the behavior analysis of ancillary equipment |
| WO2020137096A1 (en) * | 2018-12-27 | 2020-07-02 | 三菱電機株式会社 | Test device, and development support device |
| CN115119197A (en) * | 2022-06-22 | 2022-09-27 | 唐人通信技术服务股份有限公司 | Wireless network risk analysis method, device, equipment and medium based on big data |
| CN115378744A (en) * | 2022-10-25 | 2022-11-22 | 天津丈八网络安全科技有限公司 | Network security test evaluation system and method |
| CN115455089A (en) * | 2022-11-09 | 2022-12-09 | 西安弘捷电子技术有限公司 | Performance evaluation method and system of passive component and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117651289B (en) | 2024-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110827924B (en) | Clustering method and device for gene expression data, computer equipment and storage medium | |
| CN112463859B (en) | User data processing method and server based on big data and business analysis | |
| CN111652661B (en) | Mobile phone client user loss early warning processing method | |
| CN111797320A (en) | Data processing method, device, equipment and storage medium | |
| CN111126264A (en) | Image processing method, device, equipment and storage medium | |
| CN112286977A (en) | Data pushing method, electronic equipment and system based on cloud computing | |
| CN117651289B (en) | Data processing method and device for radio communication equipment test | |
| CN111445191A (en) | Distribution difficulty estimation method and device and storage medium | |
| CN111210158A (en) | Target address determination method and device, computer equipment and storage medium | |
| CN114238062B (en) | Board card burning device performance analysis method, device, equipment and readable storage medium | |
| CN110543805A (en) | Electric power emergency material demand reporting platform based on image recognition and intelligent allocation | |
| CN114678114A (en) | Big data mining evaluation method and big data mining system applied to intelligent medical treatment | |
| CN114330090A (en) | Defect detection method and device, computer equipment and storage medium | |
| CN112598540A (en) | Material storage recommendation method, equipment and storage medium | |
| CN113342518A (en) | Task processing method and device | |
| CN113850499B (en) | Data processing method and device, electronic equipment and storage medium | |
| CN109905340B (en) | Feature optimization function selection method and device and electronic equipment | |
| CN117632905B (en) | Database management method and system based on cloud use records | |
| CN115880512B (en) | Icon matching method and device | |
| CN113888073A (en) | Warehouse-out and order-dividing method and device | |
| CN117216505B (en) | User habit prediction method and system based on smart home use record | |
| CN115619148A (en) | Demand analysis method and device for power distribution project | |
| CN115049101A (en) | Clustering feature-based power load prediction method and device | |
| CN117896015A (en) | Software radio communication equipment detection method and device | |
| CN117610938A (en) | Building risk assessment method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information |
Inventor after: Wang Lifeng Inventor after: Lu Jianchuan Inventor after: Li Zhimin Inventor after: Li Yanbin Inventor after: Dong Wei Inventor after: Chen Ying Inventor before: Jiang Lifeng Inventor before: Lu Jianchuan Inventor before: Li Zhimin Inventor before: Li Yanbin Inventor before: Dong Wei Inventor before: Chen Ying |