A radio communication software evaluation method and device

Abstract

The present invention discloses a radio communication software evaluation method and device, the method comprising: obtaining stand-by radio communication software information; performing single-item evaluation processing on the stand-by radio communication software information to obtain single-item equipment evaluation information; the single-item equipment evaluation information comprises first single-item scoring information, second single-item scoring information and third single-item scoring information; performing comprehensive evaluation processing on the single-item equipment evaluation information to obtain target evaluation result information.

Description

Technical Field

[0001] The present invention relates to the field of communication processing technology, and in particular to a radio communication software evaluation method and device. Background Art

[0002] Since radio communication software usually operates in the field, it is easily affected by power outages, network penetration, or complex electromagnetic environments, which poses a major hidden danger to the stability of network communications. The evaluation of radio communication software is a comprehensive evaluation of the various performance of the equipment to evaluate and ensure its adaptability in various environments. The existing evaluation methods usually conduct direct evaluation according to the predetermined program parameters. The single performance evaluation has basically met the requirements, but there are still deficiencies in the comprehensive performance evaluation. Therefore, a radio communication software evaluation method and device are provided to improve the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a radio communication software evaluation method and device which are conducive to improving the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation.

[0004] In order to solve the above technical problems, the first aspect of the embodiment of the present invention discloses a radio communication software evaluation method, the method comprising:

[0005] Obtain information on radio communication software to be used;

[0006] Performing single-item evaluation processing on the stand-by radio communication software information to obtain single-item equipment evaluation information; the single-item equipment evaluation information includes first single-item scoring information, second single-item scoring information and third single-item scoring information;

[0007] Acquire initial weight coefficient information; the initial weight coefficient information includes a plurality of weight scoring coefficient information; each of the weight scoring coefficient information includes a plurality of weight scoring coefficient values ​​and a weight scoring coefficient number;

[0008] The initial weight coefficient information is corrected to obtain corrected weight coefficient information; the corrected weight coefficient information includes a plurality of corrected weight scoring coefficient information; each corrected weight scoring coefficient information includes a corrected weight scoring coefficient value and a weight scoring coefficient number;

[0009] Performing matrix construction on the modified weight coefficient information based on the weight scoring coefficient labels corresponding to the modified weight scoring coefficient information to obtain weight coefficient matrix information;

[0010] Adding matrix elements of the weight coefficient matrix information according to matrix columns to obtain weight coefficient vector information; the matrix elements correspond to the modified weight scoring coefficient values;

[0011] The weight coefficient vector information is normalized by using a normalization model to obtain scoring weight coefficient information; the scoring weight coefficient information includes a plurality of scoring weight coefficient values ​​arranged in an orderly manner;

[0012] Wherein, the normalized model is:

[0013] ;

[0014] In the formula, is the first A scoring weight coefficient value; and are respectively the first and A weight coefficient vector value; is the amount of the modified weight scoring coefficient information;

[0015] Based on the scoring weight coefficient information and the single equipment evaluation information, target evaluation result information is determined.

[0016] A second aspect of an embodiment of the present invention discloses a radio communication software evaluation device, the device comprising:

[0017] An acquisition module, used for acquiring information of radio communication software to be used;

[0018] A first processing module is used to perform single-item evaluation processing on the stand-by radio communication software information to obtain single-item equipment evaluation information; the single-item equipment evaluation information includes first single-item scoring information, second single-item scoring information and third single-item scoring information;

[0019] The second processing module is used to obtain initial weight coefficient information; the initial weight coefficient information includes a plurality of weight scoring coefficient information; each of the weight scoring coefficient information includes a plurality of weight scoring coefficient values ​​and a weight scoring coefficient number;

[0020] The initial weight coefficient information is corrected to obtain corrected weight coefficient information; the corrected weight coefficient information includes a plurality of corrected weight scoring coefficient information; each corrected weight scoring coefficient information includes a corrected weight scoring coefficient value and a weight scoring coefficient number;

[0021] Performing matrix construction on the modified weight coefficient information based on the weight scoring coefficient labels corresponding to the modified weight scoring coefficient information to obtain weight coefficient matrix information;

[0022] Adding matrix elements of the weight coefficient matrix information according to matrix columns to obtain weight coefficient vector information; the matrix elements correspond to the modified weight scoring coefficient values;

[0023] The weight coefficient vector information is normalized by using a normalization model to obtain scoring weight coefficient information; the scoring weight coefficient information includes a plurality of scoring weight coefficient values ​​arranged in an orderly manner;

[0024] Wherein, the normalized model is:

[0025] ;

[0026] In the formula, is the first A scoring weight coefficient value; and are respectively the first and A weight coefficient vector value; is the amount of the modified weight scoring coefficient information;

[0027] Based on the scoring weight coefficient information and the single equipment evaluation information, target evaluation result information is determined.

[0028] The third aspect of the present invention discloses another radio communication software evaluation device, the device comprising:

[0029] A memory storing executable program code;

[0030] a processor coupled to the memory;

[0031] The processor calls the executable program code stored in the memory to execute part or all of the steps in the radio communication software evaluation method disclosed in the first aspect of the embodiment of the present invention.

[0032] The fourth aspect of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the radio communication software evaluation method disclosed in the first aspect of the embodiment of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 It is a flowchart of a radio communication software evaluation method disclosed in an embodiment of the present invention;

[0035] Figure 2 It is a structural schematic diagram of a radio communication software evaluation device disclosed in an embodiment of the present invention;

[0036] Figure 3 It is a structural schematic diagram of another radio communication software evaluation device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or equipment.

[0039] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0040] The present invention discloses a radio communication software evaluation method and device, which are beneficial to improving the accuracy and efficiency of comprehensive evaluation of radio communication software, thereby improving the effectiveness of radio communication software evaluation. Detailed descriptions are given below.

[0041] Embodiment 1

[0042] See also Figure 1 , Figure 1 1 is a flow chart of a radio communication software evaluation method disclosed in an embodiment of the present invention. Figure 1 The radio communication software evaluation method described is applied to a management system, such as a local server or a cloud server for management, and the embodiments of the present invention do not limit this. Figure 1 As shown, the radio communication software evaluation method may include the following operations:

[0043] 101. Obtain information about radio communication software to be used.

[0044] 102. Perform single-item evaluation processing on the radio communication software information to be used to obtain single-item equipment evaluation information.

[0045] In the embodiment of the present invention, the single-item equipment evaluation information includes first single-item scoring information, second single-item scoring information and third single-item scoring information.

[0046] 103. Comprehensively evaluate and process the evaluation information of individual equipment to obtain the target evaluation result information.

[0047] In the embodiment of the present invention, comprehensive evaluation processing is performed on single equipment evaluation information to obtain target evaluation result information, including:

[0048] Acquire initial weight coefficient information; the initial weight coefficient information includes a number of weight scoring coefficient information; each weight scoring coefficient information includes a number of weight scoring coefficient values ​​and a weight scoring coefficient number;

[0049] The initial weight coefficient information is corrected to obtain corrected weight coefficient information; the corrected weight coefficient information includes a number of corrected weight scoring coefficient information; each corrected weight scoring coefficient information includes a corrected weight scoring coefficient value and a weight scoring coefficient number;

[0050] Based on the weight scoring coefficient labels corresponding to the modified weight scoring coefficient information, a matrix is ​​constructed for the modified weight coefficient information to obtain weight coefficient matrix information;

[0051] The weight coefficient matrix information is added to the matrix elements according to the matrix columns to obtain the weight coefficient vector information; the matrix elements correspond to the modified weight score coefficient values;

[0052] The weight coefficient vector information is normalized by using a normalization model to obtain scoring weight coefficient information; the scoring weight coefficient information includes a number of scoring weight coefficient values ​​arranged in an orderly manner;

[0053] Among them, the normalized model is:

[0054] ;

[0055] In the formula, is the scoring weight coefficient information A scoring weight coefficient value; and They are the weight coefficient vector information. and A weight coefficient vector value; To modify the number of weighted scoring coefficient information;

[0056] Based on the scoring weight coefficient information and the single equipment evaluation information, the target evaluation result information is determined.

[0057] It should be noted that the above-mentioned matrix construction of the modified weight coefficient information based on the weight scoring coefficient numbers corresponding to the modified weight scoring coefficient information is to fill the modified weight scoring coefficient values ​​into the positions corresponding to the weight scoring coefficient numbers, thereby forming a weight coefficient matrix corresponding to the weight coefficient matrix information.

[0058] It should be noted that the above-mentioned addition of matrix elements by matrix column of the weight coefficient matrix information is to add all matrix elements in each matrix column in the weight coefficient matrix, and then obtain the weight coefficient vector value corresponding to the matrix column. The weight coefficient vector information is a row vector, and the position order of each weight coefficient vector value corresponds to the order of the matrix columns.

[0059] It can be seen that implementing the radio communication software evaluation method described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation.

[0060] In an optional embodiment, the above-mentioned single-item evaluation processing is performed on the radio communication software information to be used to obtain single-item device evaluation information, including:

[0061] Perform static evaluation processing on the radio communication software information to be used to obtain first single item scoring information;

[0062] Perform dynamic evaluation processing on the radio communication software information to be used to obtain second single item scoring information;

[0063] The defect level evaluation process is performed on the radio communication software information to be used to obtain the third single item scoring information.

[0064] It should be noted that the above-mentioned static evaluation processing of the radio communication software information to be used mainly includes the evaluation of the completeness, accuracy and consistency of the software, which can be implemented by calling the evaluation function preset in the system, or it can be completed in response to the user's input instruction, and the embodiment of the present invention does not limit it. Further, the completeness mainly includes the completeness of the number of software documents, the accuracy of the software document content, and the authenticity of the software test data. Further, the above-mentioned accuracy mainly includes the accuracy of the software document annotation, the existence of erroneous content in the software document content, the accuracy of the software document conclusion, the rationality of the software testing method, and the rationality of the software test case. Further, the above-mentioned consistency mainly includes the consistency between the software evaluation data and the real software data, and the consistency between the software document description and the software.

[0065] It should be noted that the above-mentioned dynamic evaluation processing of the radio communication software information to be used mainly includes the evaluation type, evaluation execution, evaluation record, evaluation environment and evaluation investment of the software, which can be implemented by calling the evaluation function preset in the system, or it can be completed in response to the user's input instruction, and the embodiment of the present invention does not limit it. Further, the evaluation type includes the completeness of the evaluation type, the rationality of the evaluation type, and the feasibility of the evaluation method. Further, the above-mentioned evaluation execution includes the executable idea of ​​the evaluation case, the completeness of the coverage of the evaluation case, and the rationality of the evaluation parameters. Further, the above-mentioned evaluation record includes the completeness of the record and the true status of the evaluation result. Further, the above-mentioned evaluation environment characterizes the abnormal situation of the environment. Further, the above-mentioned evaluation investment includes the rationality of the evaluation time and the rationality of the evaluation cost.

[0066] It can be seen that implementing the radio communication software evaluation method described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation.

[0067] In another optional embodiment, the wireless communication software information to be used is subjected to defect level evaluation processing to obtain third single item scoring information, including:

[0068] Obtain a first defect quantity corresponding to the first single scoring information and a second defect quantity corresponding to the second single scoring information;

[0069] The first defect quantity and the second defect quantity are summed to obtain the current defect quantity;

[0070] The defect quantity evaluation model is used to calculate the current defect quantity and obtain the current defect grade value;

[0071] Among them, the defect quantity evaluation model is:

[0072] DJ=A / (A+B);

[0073] In the formula, DJ is the current defect level value; A is the current defect level value; B is the historical defect average level value;

[0074] Based on the current defect level value, the third single item scoring information is determined.

[0075] It should be noted that the defects of the first single-item scoring information and the second single-item scoring information are items whose single-item scores are less than 5 points.

[0076] It should be noted that the above-mentioned historical defect average level value can be directly obtained from the system.

[0077] It can be seen that implementing the radio communication software evaluation method described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation.

[0078] In yet another optional embodiment, based on the current defect level value, a third single scoring information is determined, including:

[0079] Determine whether the current defect level value is greater than or equal to the first level threshold, and obtain the first level judgment result;

[0080] When the first level judgment result is yes, determining the level score corresponding to the first level threshold as the third single score information;

[0081] When the first level judgment result is no, determine whether the current defect level value is greater than or equal to the second level threshold value, and obtain the second level judgment result;

[0082] When the second level judgment result is yes, determining the level score corresponding to the second level threshold as the third single score information;

[0083] When the second level judgment result is no, determine whether the current defect level value is greater than or equal to the third level threshold value, and obtain the third level judgment result;

[0084] When the third level judgment result is yes, determining the level score corresponding to the third level threshold as the third single item score information;

[0085] When the third level judgment result is no, the basic score is determined to be the third single item score information.

[0086] It should be noted that the first level threshold, the second level threshold, and the third level threshold are 0.8, 0.6, and 0.2 respectively.

[0087] It should be noted that the above basic score is a positive integer not greater than 3, which can be set by the user or obtained by the system by averaging historical basic scores, and the embodiment of the present invention does not limit this.

[0088] It can be seen that implementing the radio communication software evaluation method described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation.

[0089] In yet another optional embodiment, the initial weight coefficient information is corrected to obtain the corrected weight coefficient information, including:

[0090] For any weight scoring coefficient information in the initial weight coefficient information, all weight scoring coefficient values ​​in the weight scoring coefficient information are sorted from small to large to obtain a weight coefficient sequence;

[0091] The first weight scoring coefficient value and the last weight scoring coefficient value in the weight coefficient sequence are removed from the weight coefficient sequence;

[0092] All weight scoring coefficient values ​​in the weight scoring coefficient sequence are summed and averaged to obtain a modified weight scoring coefficient value of the modified weight scoring coefficient information corresponding to the weight scoring coefficient information;

[0093] Determine the weight scoring coefficient number corresponding to the weight scoring coefficient information as the weight scoring coefficient number of the modified weight scoring coefficient information corresponding to the weight scoring coefficient information.

[0094] It should be noted that the weight scoring coefficients are labeled with two digits, such as 12, 22, 35, etc. Furthermore, the weight scoring coefficients may represent the position in the matrix or the order in the sequence.

[0095] It can be seen that implementing the radio communication software evaluation method described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation.

[0096] In an optional embodiment, the target evaluation result information is determined based on the scoring weight coefficient information and the single equipment evaluation information, including:

[0097] Determine target scoring information based on the scoring weight coefficient information, the first single item scoring information, and the second single item scoring information; the target scoring information includes the first target scoring information and the second target scoring information;

[0098] Obtain target score weight value information; the target score weight value information includes a first target score weight value, a second target score weight value and a third target score weight value;

[0099] The target evaluation model is used to perform weighted sum processing on the target scoring weight value information, the target scoring information and the third single scoring information to obtain the target evaluation result information;

[0100] Among them, the target evaluation model is:

[0101] MBPC=W1*MBPF1+W2*MBPF2+W3*MBPFE3;

[0102] In the formula, MBPC is the target evaluation result information; MBPF1 is the first target scoring information; MBPF2 is the second target scoring information; MBPFE3 is the third single item scoring information; W1, W2 and W3 are the first target scoring weight value, the second target scoring weight value and the third target scoring weight value respectively.

[0103] It should be noted that the sum of the first target score weight value, the second target score weight value and the third target score weight value is 1.

[0104] It can be seen that implementing the radio communication software evaluation method described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation.

[0105] In another optional embodiment, determining target scoring information based on scoring weight coefficient information, first single scoring information, and second single scoring information includes:

[0106] The first single item scoring information is weighted and summed using the first three scoring weight coefficient values ​​in the scoring weight coefficient information to obtain the first target scoring information;

[0107] The second single scoring information is weighted and summed using the last five scoring weight coefficient values ​​in the scoring weight coefficient information to obtain the second target scoring information.

[0108] It should be noted that the scoring weight coefficient values ​​in the above-mentioned scoring weight coefficient information are arranged and distributed according to the weight scoring coefficient labels.

[0109] It can be seen that implementing the radio communication software evaluation method described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the comprehensive evaluation of radio communication software, thereby improving the effectiveness of the radio communication software evaluation.

[0110] Embodiment 2

[0111] See also Figure 2 , Figure 2 1 is a schematic diagram of the structure of a radio communication software evaluation device disclosed in an embodiment of the present invention. Figure 2 The described device can be applied to a warehouse management system, such as a local server or cloud server for warehouse logistics radio communication software evaluation management, etc., and the embodiments of the present invention are not limited thereto. Figure 2 As shown, the device may include:

[0112] An acquisition module 201 is used to acquire information of radio communication software to be used;

[0113] The first processing module 202 is used to perform single-item evaluation processing on the radio communication software information to be used to obtain single-item equipment evaluation information; the single-item equipment evaluation information includes first single-item scoring information, second single-item scoring information and third single-item scoring information;

[0114] The second processing module 203 is used to obtain initial weight coefficient information; the initial weight coefficient information includes a plurality of weight scoring coefficient information; each weight scoring coefficient information includes a plurality of weight scoring coefficient values ​​and a weight scoring coefficient number;

[0115] The initial weight coefficient information is corrected to obtain corrected weight coefficient information; the corrected weight coefficient information includes a number of corrected weight scoring coefficient information; each corrected weight scoring coefficient information includes a corrected weight scoring coefficient value and a weight scoring coefficient number;

[0116] Based on the weight scoring coefficient labels corresponding to the modified weight scoring coefficient information, a matrix is ​​constructed for the modified weight coefficient information to obtain weight coefficient matrix information;

[0117] The weight coefficient matrix information is added to the matrix elements according to the matrix columns to obtain the weight coefficient vector information; the matrix elements correspond to the modified weight score coefficient values;

[0118] The weight coefficient vector information is normalized by using a normalization model to obtain scoring weight coefficient information; the scoring weight coefficient information includes a number of scoring weight coefficient values ​​arranged in an orderly manner;

[0119] Among them, the normalized model is:

[0120] ;

[0121] In the formula, is the scoring weight coefficient information A scoring weight coefficient value; and They are the weight coefficient vector information. and A weight coefficient vector value; To modify the number of weighted scoring coefficient information;

[0122] Based on the scoring weight coefficient information and the single equipment evaluation information, the target evaluation result information is determined.

[0123] It can be seen that implementation Figure 2 The described radio communication software evaluation device is beneficial to improving the accuracy and efficiency of comprehensive evaluation of radio communication software, thereby improving the effectiveness of radio communication software evaluation.

[0124] In another optional embodiment, Figure 2 As shown, the first processing module 202 performs single-item evaluation processing on the radio communication software information to be used, and obtains single-item device evaluation information, including:

[0125] Perform static evaluation processing on the radio communication software information to be used to obtain first single item scoring information;

[0126] Perform dynamic evaluation processing on the radio communication software information to be used to obtain second single item scoring information;

[0127] The defect level evaluation process is performed on the radio communication software information to be used to obtain the third single item scoring information.

[0128] It can be seen that implementation Figure 2 The described radio communication software evaluation device is beneficial to improving the accuracy and efficiency of comprehensive evaluation of radio communication software, thereby improving the effectiveness of radio communication software evaluation.

[0129] In yet another optional embodiment, Figure 2 As shown, the first processing module 202 performs defect level evaluation processing on the radio communication software information to be used to obtain third single item scoring information, including:

[0130] Obtain a first defect quantity corresponding to the first single scoring information and a second defect quantity corresponding to the second single scoring information;

[0131] The first defect quantity and the second defect quantity are summed to obtain the current defect quantity;

[0132] The defect quantity evaluation model is used to calculate the current defect quantity and obtain the current defect grade value;

[0133] Among them, the defect quantity evaluation model is:

[0134] DJ=A / (A+B);

[0135] In the formula, DJ is the current defect level value; A is the current defect level value; B is the historical defect average level value;

[0136] Based on the current defect level value, the third single item scoring information is determined.

[0137] It can be seen that implementation Figure 2 The described radio communication software evaluation device is beneficial to improving the accuracy and efficiency of comprehensive evaluation of radio communication software, thereby improving the effectiveness of radio communication software evaluation.

[0138] In yet another optional embodiment, Figure 2 As shown, the first processing module 202 determines the third single scoring information based on the current defect level value, including:

[0139] Determine whether the current defect level value is greater than or equal to the first level threshold, and obtain the first level judgment result;

[0140] When the first level judgment result is yes, determining the level score corresponding to the first level threshold as the third single score information;

[0141] When the first level judgment result is no, determine whether the current defect level value is greater than or equal to the second level threshold value, and obtain the second level judgment result;

[0142] When the second level judgment result is yes, determining the level score corresponding to the second level threshold as the third single score information;

[0143] When the second level judgment result is no, determine whether the current defect level value is greater than or equal to the third level threshold value, and obtain the third level judgment result;

[0144] When the third level judgment result is yes, determining the level score corresponding to the third level threshold as the third single item score information;

[0145] When the third level judgment result is no, the basic score is determined to be the third single item score information.

[0146] It can be seen that implementation Figure 2 The described radio communication software evaluation device is beneficial to improving the accuracy and efficiency of comprehensive evaluation of radio communication software, thereby improving the effectiveness of radio communication software evaluation.

[0147] In yet another optional embodiment, Figure 2 As shown, the second processing module 203 performs correction processing on the initial weight coefficient information to obtain the corrected weight coefficient information, including:

[0148] For any weight scoring coefficient information in the initial weight coefficient information, all weight scoring coefficient values ​​in the weight scoring coefficient information are sorted from small to large to obtain a weight coefficient sequence;

[0149] The first weight scoring coefficient value and the last weight scoring coefficient value in the weight coefficient sequence are removed from the weight coefficient sequence;

[0150] All weight scoring coefficient values ​​in the weight scoring coefficient sequence are summed and averaged to obtain a modified weight scoring coefficient value of the modified weight scoring coefficient information corresponding to the weight scoring coefficient information;

[0151] Determine the weight scoring coefficient number corresponding to the weight scoring coefficient information as the weight scoring coefficient number of the modified weight scoring coefficient information corresponding to the weight scoring coefficient information.

[0152] It can be seen that implementation Figure 2 The described radio communication software evaluation device is beneficial to improving the accuracy and efficiency of comprehensive evaluation of radio communication software, thereby improving the effectiveness of radio communication software evaluation.

[0153] In yet another optional embodiment, Figure 2 As shown, the second processing module 203 determines the target evaluation result information based on the scoring weight coefficient information and the single equipment evaluation information, including:

[0154] Determine target scoring information based on the scoring weight coefficient information, the first single item scoring information, and the second single item scoring information; the target scoring information includes the first target scoring information and the second target scoring information;

[0155] Obtain target score weight value information; the target score weight value information includes a first target score weight value, a second target score weight value and a third target score weight value;

[0156] The target evaluation model is used to perform weighted sum processing on the target scoring weight value information, the target scoring information and the third single scoring information to obtain the target evaluation result information;

[0157] Among them, the target evaluation model is:

[0158] MBPC=W1*MBPF1+W2*MBPF2+W3*MBPFE3;

[0159] In the formula, MBPC is the target evaluation result information; MBPF1 is the first target scoring information; MBPF2 is the second target scoring information; MBPFE3 is the third single item scoring information; W1, W2 and W3 are the first target scoring weight value, the second target scoring weight value and the third target scoring weight value respectively.

[0160] It can be seen that implementation Figure 2 The described radio communication software evaluation device is beneficial to improving the accuracy and efficiency of comprehensive evaluation of radio communication software, thereby improving the effectiveness of radio communication software evaluation.

[0161] In yet another optional embodiment, Figure 2As shown, the second processing module 203 determines the target scoring information based on the scoring weight coefficient information, the first single scoring information and the second single scoring information, including:

[0162] The first single item scoring information is weighted and summed using the first three scoring weight coefficient values ​​in the scoring weight coefficient information to obtain the first target scoring information;

[0163] The second single scoring information is weighted and summed using the last five scoring weight coefficient values ​​in the scoring weight coefficient information to obtain the second target scoring information.

[0164] It can be seen that implementation Figure 2 The described radio communication software evaluation device is beneficial to improving the accuracy and efficiency of comprehensive evaluation of radio communication software, thereby improving the effectiveness of radio communication software evaluation.

[0165] Embodiment 3

[0166] See also Figure 3 , Figure 3 : is a schematic diagram of the structure of another radio communication software evaluation device disclosed in an embodiment of the present invention. Figure 3 The described device can be applied to a warehouse management system, such as a local server or cloud server for warehouse logistics radio communication software evaluation management, etc., and the embodiments of the present invention are not limited thereto. Figure 3 As shown, the device may include:

[0167] A memory 301 storing executable program codes;

[0168] a processor 302 coupled to the memory 301;

[0169] The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the radio communication software evaluation method described in the first embodiment.

[0170] Embodiment 4

[0171] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the radio communication software evaluation method described in the first embodiment.

[0172] Embodiment 5

[0173] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the radio communication software evaluation method described in the first embodiment.

[0174] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0175] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0176] Finally, it should be noted that the radio communication software evaluation method and device disclosed in the embodiment of the present invention only disclose the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A radio communication software evaluation method, characterized in that: The method comprises: Obtain information on radio communication software to be used; Performing single-item evaluation processing on the stand-by radio communication software information to obtain single-item equipment evaluation information; the single-item equipment evaluation information includes first single-item scoring information, second single-item scoring information and third single-item scoring information; Acquire initial weight coefficient information; the initial weight coefficient information includes a plurality of weight scoring coefficient information; each of the weight scoring coefficient information includes a plurality of weight scoring coefficient values ​​and a weight scoring coefficient number; The initial weight coefficient information is corrected to obtain corrected weight coefficient information; the corrected weight coefficient information includes a plurality of corrected weight scoring coefficient information; each corrected weight scoring coefficient information includes a corrected weight scoring coefficient value and a weight scoring coefficient number; Performing matrix construction on the modified weight coefficient information based on the weight scoring coefficient labels corresponding to the modified weight scoring coefficient information to obtain weight coefficient matrix information; Adding matrix elements of the weight coefficient matrix information according to matrix columns to obtain weight coefficient vector information; the matrix elements correspond to the modified weight scoring coefficient values; The weight coefficient vector information is normalized by using a normalization model to obtain scoring weight coefficient information; the scoring weight coefficient information includes a plurality of scoring weight coefficient values ​​arranged in an orderly manner; Wherein, the normalized model is: Where, QZ i is the i-th scoring weight coefficient value in the scoring weight coefficient information; qz i and qz j are the i-th and j-th weight coefficient vector values ​​in the weight coefficient vector information respectively; M is the number of the modified weight scoring coefficient information; Determine target evaluation result information based on the scoring weight coefficient information and the single equipment evaluation information; The single-item evaluation processing of the stand-by radio communication software information to obtain single-item equipment evaluation information includes: Performing static evaluation processing on the stand-by radio communication software information to obtain the first single-item scoring information; Performing dynamic evaluation processing on the stand-by radio communication software information to obtain the second single-item scoring information; Performing defect level evaluation on the stand-by radio communication software information to obtain the third single item scoring information; The step of performing defect level evaluation on the standby radio communication software information to obtain the third single item scoring information includes: Obtaining a first defect quantity corresponding to the first single-item scoring information and a second defect quantity corresponding to the second single-item scoring information; Summing the first defect quantity and the second defect quantity to obtain a current defect quantity; Calculating the current defect quantity using a defect quantity assessment model to obtain a current defect grade value; Wherein, the defect quantity evaluation model is: DJ = A / (A+B); In the formula, DJ is the current defect level value; A is the current defect level value; B is the historical defect average level value; Based on the current defect level value, the third single scoring information is determined.

2. The radio communication software evaluation method according to claim 1, characterized in that: The determining of the third single scoring information based on the current defect level value includes: Determine whether the current defect level value is greater than or equal to a first level threshold, and obtain a first level determination result; When the first level judgment result is yes, determining the level score corresponding to the first level threshold as the third single score information; When the first level judgment result is no, determining whether the current defect level value is greater than or equal to a second level threshold value, and obtaining a second level judgment result; When the second level judgment result is yes, determining the level score corresponding to the second level threshold as the third single score information; When the second level judgment result is no, judging whether the current defect level value is greater than or equal to a third level threshold, and obtaining a third level judgment result; When the third level judgment result is yes, determining the level score corresponding to the third level threshold as the third single item score information; When the third level judgment result is no, the basic score is determined to be the third single item score information.

3. The radio communication software evaluation method according to claim 1, characterized in that: The correcting the initial weight coefficient information to obtain the corrected weight coefficient information includes: For any of the weight scoring coefficient information in the initial weight coefficient information, all the weight scoring coefficient values ​​in the weight scoring coefficient information are sorted from small to large to obtain a weight coefficient sequence; Eliminate the first weight scoring coefficient value and the last weight scoring coefficient value in the weight coefficient sequence from the weight coefficient sequence; Sum and average all the weight scoring coefficient values ​​in the weight coefficient sequence to obtain a modified weight scoring coefficient value of the modified weight scoring coefficient information corresponding to the weight scoring coefficient information; Determine the weight scoring coefficient number corresponding to the weight scoring coefficient information as the weight scoring coefficient number of the modified weight scoring coefficient information corresponding to the weight scoring coefficient information.

4. The radio communication software evaluation method according to claim 1, characterized in that: The step of determining target evaluation result information based on the scoring weight coefficient information and the single equipment evaluation information includes: Determine target scoring information based on the scoring weight coefficient information, the first single scoring information and the second single scoring information; the target scoring information includes first target scoring information and second target scoring information; Obtain target score weight value information; the target score weight value information includes a first target score weight value, a second target score weight value and a third target score weight value; Using the target evaluation model, weighted summing is performed on the target scoring weight value information, the target scoring information and the third single scoring information to obtain target evaluation result information; Wherein, the target evaluation model is: MBPC=W1*MBPF1+W2*MBPF2+W3*MBPFE3; In the formula, MBPC is the target evaluation result information; MBPF1 is the first target scoring information; MBPF2 is the second target scoring information; MBPFE3 is the third single item scoring information; W1, W2 and W3 are the first target scoring weight value, the second target scoring weight value and the third target scoring weight value respectively.

5. The radio communication software evaluation method according to claim 4, characterized in that: The determining target scoring information based on the scoring weight coefficient information, the first single scoring information and the second single scoring information includes: Using the first three scoring weight coefficient values ​​in the scoring weight coefficient information to perform weighted sum processing on the first single scoring information to obtain the first target scoring information; The second single item scoring information is weighted and summed using the last five scoring weight coefficient values ​​in the scoring weight coefficient information to obtain the second target scoring information.

6. A radio communication software evaluation device, characterized in that: The device comprises: An acquisition module, used for acquiring information of radio communication software to be used; A first processing module is used to perform single-item evaluation processing on the stand-by radio communication software information to obtain single-item equipment evaluation information; the single-item equipment evaluation information includes first single-item scoring information, second single-item scoring information and third single-item scoring information; The second processing module is used to obtain initial weight coefficient information; the initial weight coefficient information includes a plurality of weight scoring coefficient information; each of the weight scoring coefficient information includes a plurality of weight scoring coefficient values ​​and a weight scoring coefficient number; The initial weight coefficient information is corrected to obtain corrected weight coefficient information; the corrected weight coefficient information includes a plurality of corrected weight scoring coefficient information; each corrected weight scoring coefficient information includes a corrected weight scoring coefficient value and a weight scoring coefficient number; Performing matrix construction on the modified weight coefficient information based on the weight scoring coefficient labels corresponding to the modified weight scoring coefficient information to obtain weight coefficient matrix information; Adding matrix elements of the weight coefficient matrix information according to matrix columns to obtain weight coefficient vector information; the matrix elements correspond to the modified weight scoring coefficient values; The weight coefficient vector information is normalized by using a normalization model to obtain scoring weight coefficient information; the scoring weight coefficient information includes a plurality of scoring weight coefficient values ​​arranged in an orderly manner; Wherein, the normalized model is: Where, QZ i is the i-th scoring weight coefficient value in the scoring weight coefficient information; qz i and qz j are the i-th and j-th weight coefficient vector values ​​in the weight coefficient vector information respectively; M is the number of the modified weight scoring coefficient information; Determine target evaluation result information based on the scoring weight coefficient information and the single equipment evaluation information; The single-item evaluation processing of the stand-by radio communication software information to obtain single-item equipment evaluation information includes: Performing static evaluation processing on the stand-by radio communication software information to obtain the first single-item scoring information; Performing dynamic evaluation processing on the stand-by radio communication software information to obtain the second single-item scoring information; Performing defect level evaluation on the stand-by radio communication software information to obtain the third single item scoring information; The step of performing defect level evaluation on the standby radio communication software information to obtain the third single item scoring information includes: Obtaining a first defect quantity corresponding to the first single-item scoring information and a second defect quantity corresponding to the second single-item scoring information; Summing the first defect quantity and the second defect quantity to obtain a current defect quantity; Calculating the current defect quantity using a defect quantity assessment model to obtain a current defect grade value; Wherein, the defect quantity evaluation model is: DJ = A / (A+B); In the formula, DJ is the current defect level value; A is the current defect level value; B is the historical defect average level value; Based on the current defect level value, the third single scoring information is determined.

7. A radio communication software evaluation device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the radio communication software evaluation method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the radio communication software evaluation method as described in any one of claims 1-5.

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