CN115396920B

CN115396920B - Equipment evaluation method, device and readable storage medium

Info

Publication number: CN115396920B
Application number: CN202211009648.6A
Authority: CN
Inventors: 赫欣; 关键; 晁昆; 徐乐西; 贾玉玮; 王云云; 赵振桥; 郝若晶; 夏蕊
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-08-22
Filing date: 2022-08-22
Publication date: 2024-04-19
Anticipated expiration: 2042-08-22
Also published as: CN115396920A

Abstract

The application discloses a device evaluation method, a device and a readable storage medium, which relate to the technical field of communication and are used for improving the accuracy of stability evaluation of devices. The method comprises the following steps: acquiring parameter values of sub-parameters included in each of a plurality of parameters of the equipment to be evaluated; determining a membership matrix of the first parameter to a preset evaluation index set aiming at the first parameter; determining a judgment matrix of the first parameter according to the membership matrix of the first parameter and the weight matrix of the first parameter; determining a target element with the largest numerical value from a judgment matrix of the first parameter, and determining a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element to obtain a plurality of target performance identifiers corresponding to a plurality of parameters one by one; and determining the stability type of the equipment to be evaluated according to the plurality of target performance identifiers.

Description

Equipment evaluation method, device and readable storage medium

Technical Field

The embodiment of the application relates to the technical field of communication, in particular to a device evaluation method and device and a readable storage medium.

Background

With the development of the fifth generation mobile communication (5-generation, 5G) technology, the user volume and the traffic volume of 5G are increasing, the network environment is more complex, and reasonable stability evaluation of the base station becomes an important means for stable operation of the network.

However, when the stability of the base station is evaluated, most of the stability is analyzed based on key performance index (key performance indicator, KPI) indexes, and because the KPI index scores are evaluated manually, the stability evaluation accuracy of the base station is reduced due to too much dependence on the evaluation experience of the evaluator. Therefore, accuracy of how to evaluate stability of a base station is a technical problem to be solved.

Disclosure of Invention

The application provides a device evaluation method, a device evaluation device and a readable storage medium, which are used for flexibly scheduling frequency band resources.

In order to achieve the above purpose, the application adopts the following technical scheme:

In a first aspect, a device evaluation method is provided, including: acquiring parameter values of sub-parameters included in each of a plurality of parameters of the equipment to be evaluated, wherein the plurality of parameters represent different attribute types; determining a membership matrix of the first parameter to a preset evaluation index set aiming at the first parameter; the first parameter is any one of a plurality of parameters, and the evaluation index set comprises a plurality of evaluation indexes; the elements in the membership matrix are membership degrees of the subparameter included in the parameters to the evaluation index; the membership is used for representing the closeness degree of the parameter value of the sub-parameter and the evaluation value of the evaluation index; determining a judgment matrix of the first parameter according to the membership matrix of the first parameter and the weight matrix of the first parameter; the elements in the weight matrix indicate the weights of the sub-parameters in the parameters, and the elements in the judgment matrix represent the degree to which the parameters are close to the evaluation indexes; determining a target element with the largest numerical value from a judgment matrix of the first parameter, and determining a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element to obtain a plurality of target performance identifiers corresponding to a plurality of parameters one by one; and determining the stability type of the equipment to be evaluated according to the plurality of target performance identifiers.

Therefore, the equipment evaluation device can more truly reflect the running state of the equipment to be evaluated by acquiring a plurality of parameters of the equipment to be evaluated and acquiring the judgment matrix of the first parameter. And as the target element with the largest value in the evaluation matrix of the first parameter indicates that the equipment to be evaluated is closest to the evaluation index corresponding to the target element, the evaluation personnel does not need to score the equipment to be evaluated by self experience, and the accuracy of stability evaluation of the equipment can be improved.

Optionally, determining the membership matrix of the first parameter to the preset evaluation index set includes: determining the membership degree of the first subparameter to each evaluation index in the evaluation index set aiming at the first subparameter in the first parameter to obtain a membership degree set of a plurality of subparameters included in the first parameter to each evaluation index in the evaluation index set, wherein the first subparameter is any subparameter in the first parameter; and combining the membership degree sets of each evaluation index in the evaluation index sets by a plurality of sub-parameters included in the first parameter to obtain a membership degree matrix of the first parameter.

In this way, the device evaluation apparatus may determine the membership degree of the plurality of sub-parameters included in each parameter to each evaluation index in the evaluation index set, to obtain the membership degree matrix of each parameter.

Optionally, determining the membership degree of the first sub-parameter to each evaluation index in the evaluation index set includes: judging whether the second evaluation index and the third evaluation index exist at the same time or not, or whether only the second evaluation index exists or only the third evaluation index exists, and obtaining a judging result; the first evaluation index is any one of the evaluation index sets, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is larger than the first evaluation index; and determining the membership degree of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the judgment result.

In this way, the device evaluation apparatus may determine the membership degree of the first sub-parameter to the first evaluation index under different conditions by judging the existence conditions of different evaluation indexes.

Optionally, determining the membership degree of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the judgment result includes: if the judging result is that the second evaluation index and the third evaluation index exist simultaneously, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter if the first sub-parameter is located between the second evaluation index and the first evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter if the first sub-parameter is located between the first evaluation index and the third evaluation index, and determining the membership degree of the first sub-parameter to the first evaluation index if the first sub-parameter is smaller than or equal to the second evaluation index or the first parameter is larger than or equal to the third evaluation index.

In this way, the device evaluation apparatus can determine the membership degree of the different sub-parameters to each evaluation index in the case where the second evaluation index and the third evaluation index are present at the same time.

Optionally, determining the membership degree of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the judgment result includes: if the judging result is that only the second evaluation index exists, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter, determining the membership degree of the first sub-parameter to the first evaluation index to be 0 if the first sub-parameter is smaller than or equal to the second evaluation index, and determining the membership degree of the first sub-parameter to be 1 if the first sub-parameter is larger than or equal to the first evaluation index.

In this way, the device evaluation apparatus can determine the membership degree of the different sub-parameters to each evaluation index in the case where only the second evaluation index is present.

Optionally, determining the membership degree of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the judgment result includes: if the judging result is that only the third evaluation index exists, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter, determining the membership degree of the first sub-parameter to the first evaluation index to be 1 if the first sub-parameter is smaller than or equal to the first evaluation index, and determining the membership degree of the first sub-parameter to be 0 if the first sub-parameter is larger than or equal to the third evaluation index.

In this way, the device evaluation apparatus can determine the membership degree of the different sub-parameters to each evaluation index in the case where only the third evaluation index is present.

Optionally, determining, according to the target evaluation index corresponding to the target element, the target performance identifier corresponding to the first parameter includes: inquiring a target performance identifier corresponding to the first parameter from a preset mapping relation according to the target evaluation index; the mapping relationship is used for indicating the corresponding relationship between the evaluation index and the performance identifier.

In this way, by the above-described mapping relationship between the evaluation index and the performance identifier, the device evaluation apparatus can determine the performance identifier corresponding to the target evaluation index in the case of determining the target evaluation index.

Optionally, the plurality of parameters include at least two of a basic attribute, a state attribute and a performance attribute of the device to be evaluated, the sub-parameters included in the basic attribute include one or more of a level of the device to be evaluated and a value area type of the device to be evaluated, the sub-parameters included in the state attribute include one or more of a flash break, a zero traffic hang-up, a ring break, a cell out-of-service and a traffic volume of the device to be evaluated, and the sub-parameters included in the performance attribute include one or more of a device loss of the device to be evaluated, a maintenance degree of the device to be evaluated, an emergency response degree of a network emergency, an electricity utilization efficiency, an access performance, a maintenance performance and a mobility performance.

By the aid of the parameters of the equipment to be evaluated, the running state of the equipment to be evaluated can be reflected more accurately. Further improving accuracy of stability evaluation of equipment to be evaluated

In a second aspect, there is provided an apparatus evaluation device including an acquisition unit, a determination unit;

The device comprises an acquisition unit, a calculation unit and a calculation unit, wherein the acquisition unit is used for acquiring parameter values of sub-parameters included in each parameter in a plurality of parameters of equipment to be evaluated, and the plurality of parameters represent different attribute types;

The determining unit is used for determining a membership matrix of the first parameter to the evaluation index set aiming at the first parameter; the first parameter is any one of a plurality of parameters, and the evaluation index set comprises a plurality of evaluation indexes; the elements in the membership matrix are membership degrees of the subparameter included in the parameters to the evaluation index; the membership is used for representing the closeness degree of the parameter value of the sub-parameter and the evaluation value of the evaluation index;

The determining unit is also used for determining a judging matrix of the first parameter according to the membership matrix of the first parameter and the weight matrix of the first parameter; the elements in the weight matrix indicate the weights of the sub-parameters in the parameters, and the elements in the judgment matrix represent the degree to which the parameters are close to the evaluation indexes;

The determining unit is further used for determining a target element with the largest numerical value from the evaluation matrix of the first parameter, determining a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element, and obtaining a plurality of target performance identifiers corresponding to the plurality of parameters one by one;

and the determining unit is also used for determining the stability type of the equipment to be evaluated according to the plurality of target performance identifiers.

Optionally, the determining unit is specifically configured to: determining the membership degree of the first subparameter to each evaluation index in the evaluation index set aiming at the first subparameter in the first parameter to obtain a membership degree set of a plurality of subparameters included in the first parameter to each evaluation index in the evaluation index set, wherein the first subparameter is any subparameter in the first parameter; and combining the membership degree of each evaluation index in the evaluation index set by a plurality of sub-parameters included in the first parameter to obtain a membership degree matrix of the first parameter.

Optionally, the determining unit is specifically further configured to: judging whether the second evaluation index and the third evaluation index exist at the same time or not, or whether only the second evaluation index exists or only the third evaluation index exists, and obtaining a judging result; the first evaluation index is any one of the evaluation index sets, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is larger than the first evaluation index; and determining the membership degree of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the judgment result.

Optionally, the determining unit is specifically further configured to: if the judging result is that the second evaluation index and the third evaluation index exist simultaneously, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter if the first sub-parameter is located between the second evaluation index and the first evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter if the first sub-parameter is located between the first evaluation index and the third evaluation index, and determining the membership degree of the first sub-parameter to the first evaluation index if the first sub-parameter is smaller than or equal to the second evaluation index or the first parameter is larger than or equal to the third evaluation index.

Optionally, the determining unit is specifically further configured to: if the judging result is that only the second evaluation index exists, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter, determining the membership degree of the first sub-parameter to the first evaluation index to be 0 if the first sub-parameter is smaller than or equal to the second evaluation index, and determining the membership degree of the first sub-parameter to be 1 if the first sub-parameter is larger than or equal to the first evaluation index.

Optionally, the determining unit is specifically further configured to: if the judging result is that only the third evaluation index exists, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter, determining the membership degree of the first sub-parameter to the first evaluation index to be 1 if the first sub-parameter is smaller than or equal to the first evaluation index, and determining the membership degree of the first sub-parameter to be 0 if the first sub-parameter is larger than or equal to the third evaluation index.

Optionally, the determining unit is specifically further configured to: inquiring a target performance identifier corresponding to the first parameter from a preset mapping relation according to the target evaluation index; the mapping relationship is used for indicating the corresponding relationship between the evaluation index and the performance identifier.

In a third aspect, a device evaluation apparatus is provided, which may be a device evaluation apparatus or a chip or a system on chip in a device evaluation apparatus. The device evaluation apparatus may implement the above aspects or the functions performed by the device evaluation apparatus in each possible design, and the functions may be implemented by hardware, for example: in one possible design, the device evaluation apparatus may include: a processor and a communication interface, the processor being operable to support the device assessment apparatus to implement the functionality referred to in the first aspect or any one of the possible designs of the first aspect, for example: the processor receives the first request message through the communication interface.

In yet another possible design, the device evaluation apparatus may further include a memory for holding computer-executable instructions and data necessary for the device evaluation apparatus. The processor executes the computer-executable instructions stored by the memory when the device assessment apparatus is running, to cause the device assessment apparatus to perform any one of the possible device assessment methods of the first aspect or the first aspect described above.

In a fourth aspect, a computer readable storage medium is provided, which may be a readable non-volatile storage medium, storing computer instructions or a program which, when run on a computer, cause the computer to perform the first aspect or any one of the possible device assessment methods of the aspects.

In a fifth aspect, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the apparatus assessment method of the first aspect or any of the possible designs of the aspects.

In a sixth aspect, a device evaluation apparatus is provided, which may be a device evaluation apparatus or a chip or a system on a chip in a device evaluation apparatus, the device evaluation apparatus comprising one or more processors and one or more memories. The one or more memories are coupled with the one or more processors, the one or more memories being for storing computer program code comprising computer instructions which, when executed by the one or more processors, cause the device evaluation apparatus to perform the device evaluation method as described above for the first aspect or any of the possible designs of the first aspect.

In a seventh aspect, a chip system is provided, the chip system comprising a processor and a communication interface, the chip system being operable to implement the functions performed by the device evaluation apparatus in any one of the above-mentioned first aspects or in any one of the possible designs of the first aspect, the chip system further comprising a memory, the memory being operable to store program instructions and/or data. The chip system may be composed of a chip, or may include a chip and other discrete devices, without limitation.

Drawings

Fig. 1 is a schematic diagram of a network architecture according to an embodiment of the present application;

Fig. 2 is a schematic structural diagram of an apparatus evaluation device according to an embodiment of the present application;

FIG. 3 is a schematic structural diagram of another device evaluation apparatus according to an embodiment of the present application;

Fig. 4 is a schematic flow chart of a device evaluation method according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a device of different stability types provided by an embodiment of the present application;

FIG. 6 is a flowchart of another device evaluation method according to an embodiment of the present application;

Fig. 7 is a schematic structural diagram of an apparatus evaluation device according to an embodiment of the present application.

Detailed Description

In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with aspects of embodiments of the application as detailed in the accompanying claims.

It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, and/or components.

With the development of 5G technology, the user volume and the traffic volume of 5G are increasing, the network environment is more complex, and the reasonable evaluation of the stability of the base station becomes an important means for the stable operation of the network. However, when the stability of the base station is evaluated, most of the stability is analyzed based on key performance index KPI, and because the KPI score is evaluated in a manual mode, the stability evaluation accuracy of the base station is reduced due to too much dependence on the evaluation experience of an evaluator.

In view of this, an embodiment of the present application provides an apparatus evaluation method, including: acquiring parameter values of sub-parameters included in each of a plurality of parameters of the equipment to be evaluated, wherein the plurality of parameters represent different attribute types; determining a membership matrix of the first parameter to a preset evaluation index set aiming at the first parameter; the first parameter is any one of a plurality of parameters, and the evaluation index set comprises a plurality of evaluation indexes; the elements in the membership matrix are membership degrees of the subparameter included in the parameters to the evaluation index; the membership is used for representing the closeness degree of the parameter value of the sub-parameter and the evaluation value of the evaluation index; determining a judgment matrix of the first parameter according to the membership matrix of the first parameter and the weight matrix of the first parameter; the elements in the weight matrix indicate the weights of the sub-parameters in the parameters, and the elements in the judgment matrix represent the degree to which the parameters are close to the evaluation indexes; determining a target element with the largest numerical value from a judgment matrix of the first parameter, and determining a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element to obtain a plurality of target performance identifiers corresponding to a plurality of parameters one by one; and determining the stability type of the equipment to be evaluated according to the plurality of target performance identifiers.

The method provided by the embodiment of the application is described in detail below with reference to the attached drawings.

It should be noted that, the network system described in the embodiment of the present application is for more clearly describing the technical solution of the embodiment of the present application, and does not constitute a limitation on the technical solution provided in the embodiment of the present application, and those skilled in the art can know that, with the evolution of the network system and the appearance of other network systems, the technical solution provided in the embodiment of the present application is applicable to similar technical problems.

Fig. 1 is a schematic diagram of a network architecture according to an embodiment of the present application. As shown in fig. 1, the network architecture may include a device under evaluation 11, a device evaluation apparatus 12. The device under evaluation 11 can be connected to the evaluation means 12 via radio resources and can carry out data transmission.

The device under evaluation 11 according to the embodiment of the present application may be: an evolved node b (eNB), a home base station, an Access Point (AP) in a wireless fidelity (WIRELESS FIDELITY, WIFI) system, a wireless relay node, a wireless backhaul node, a transmission point (transmission point, TP), or a transmission reception point (transmission and reception point, TRP), and so on. In the embodiment of the present application, the specific technique and the specific apparatus configuration adopted for the apparatus 11 to be evaluated are not limited.

The device evaluation device 12 according to the embodiment of the present application is used for evaluating the stability of the device 11 to be evaluated. For example, the device evaluation apparatus 12 may be a server, a computer, or the like. The embodiment of the present application is not limited to the specific technique, specific number, and specific device configuration employed by the device evaluation apparatus 12.

It should be noted that fig. 1 is only an exemplary frame diagram, and names of the devices included in fig. 1 are not limited, and other nodes may be included in addition to the functional nodes shown in fig. 1, which is not limited by the embodiment of the present application.

Fig. 2 is a schematic structural diagram of an apparatus evaluation device according to an embodiment of the present application. As shown in fig. 2, the device evaluation apparatus may include an analysis system establishment module, a data acquisition module, a data processing module, a comprehensive evaluation module, a data storage module, and a visual presentation module. The connection manner of each module may be as shown in fig. 2, and will not be described again.

The analysis system establishment module can be used for determining an influence factor affecting the device to be evaluated. For example, the influence factors affecting the device under evaluation may include: basic attributes, state attributes and performance attributes of the equipment to be evaluated.

The data acquisition module can be used for acquiring related parameters such as basic attributes, state attributes, performance attributes and the like of the equipment to be evaluated. The data processing module may be configured to perform preset processing on the data acquired by the data acquisition module, and specifically reference may be made to the following description of embodiments. The comprehensive evaluation module can be used for evaluating the stability of the equipment to be evaluated according to the data processed by the data processing module. The data storage module may be used to store the processing procedures and processing results of the above-described respective modules. The visual presentation module may be used to display functions available for viewing, selection and manipulation by a user via a display device.

In particular, each device in fig. 1 may adopt the constituent structure shown in fig. 3 or include the components shown in fig. 3. Fig. 3 is a schematic diagram of an apparatus evaluation device 300 according to an embodiment of the present application, where the apparatus evaluation device 300 includes a processor 301, a communication interface 302, and a communication line 303.

Further, the device evaluation apparatus 300 may further comprise a memory 304. The processor 301, the memory 304, and the communication interface 302 may be connected by a communication line 303.

The processor 301 is a CPU, a general-purpose processor, a network processor (network processor, NP), a digital signal processor (DIGITAL SIGNAL processing, DSP), a microprocessor, a microcontroller, a programmable logic device (programmable logic device, PLD), or any combination thereof. The processor 301 may also be any other device having processing functions, such as, without limitation, a circuit, a device, or a software module.

A communication interface 302 for communicating with other devices or other communication networks. The communication interface 302 may be a module, a circuit, a communication interface, or any device capable of enabling communication.

A communication line 303 for transmitting information between the respective components included in the device evaluation apparatus 300.

Memory 304 for storing instructions. Wherein the instructions may be computer programs.

The memory 304 may be, but not limited to, a read-only memory (ROM) or other type of static storage device capable of storing static information and/or instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device capable of storing information and/or instructions, an EEPROM, a CD-ROM (compact disc read-only memory) or other optical disk storage, an optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, etc.

It should be noted that the memory 304 may exist separately from the processor 301 or may be integrated with the processor 301. Memory 304 may be used to store instructions or program code or some data, etc. The memory 304 may be located inside the device evaluation apparatus 300 or outside the device evaluation apparatus 300, without limitation. The processor 301 is configured to execute the instructions stored in the memory 304 to implement the device evaluation method provided in the following embodiments of the present application.

In one example, processor 301 may include one or more CPUs, such as CPU0 and CPU1 in fig. 3.

As an alternative implementation, the device evaluation apparatus 300 includes a plurality of processors, for example, a processor 305 may be included in addition to the processor 301 in fig. 3.

It should be noted that the constituent structures shown in fig. 3 do not constitute limitations of the respective apparatuses in fig. 1, and that the respective apparatuses in fig. 1 may include more or less components than those shown in fig. 3, or may combine some components, or may be arranged differently, in addition to those shown in fig. 3.

In the embodiment of the application, the chip system can be composed of chips, and can also comprise chips and other discrete devices.

Further, actions, terms, and the like, which are referred to between embodiments of the present application, are not limited thereto. The message names of interactions between the devices or parameter names in the messages in the embodiments of the present application are just an example, and other names may be used in specific implementations without limitation.

In order to clearly describe the technical solution of the embodiments of the present application, in the embodiments of the present application, the words "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.

In the present application, the words "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

In the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.

The device evaluation method provided by the embodiment of the present application is described below with reference to the network architecture shown in fig. 4.

Fig. 4 is a schematic diagram of an embodiment of the present application, which provides a device evaluation method applied to a device evaluation apparatus, where the device evaluation apparatus may be the device evaluation apparatus 12 in fig. 1, or may be a device, such as a chip, in the device evaluation apparatus 12, or may be a device evaluation apparatus. As shown in fig. 4, the method includes the following S401 to S405:

S401, the device evaluation device acquires parameter values of sub-parameters included in each of a plurality of parameters of the device to be evaluated.

The device to be evaluated may be the device to be evaluated 11 in fig. 1, or may be a device in the device to be evaluated 11, such as a chip. The plurality of parameters characterizes different attribute types. For example, the attribute types corresponding to the plurality of parameters may include a basic attribute, a state attribute, and a performance attribute.

In one example, as shown in table 1, the sub-parameters included in the basic attribute may include a level of the device under evaluation, a value region type of the device under evaluation. The sub-parameters included by the state attribute comprise flash break, zero service hang-up, ring break, cell out-of-service and traffic of the equipment to be evaluated. The sub-parameters included by the performance attribute comprise equipment loss of equipment to be evaluated, maintenance degree of the equipment to be evaluated, emergency response degree of network emergency, electricity utilization efficiency, access performance, maintenance performance and mobile performance.

Table 1 multiple parameter schematic tables of a device under evaluation

It should be noted that the data of table 1 are only exemplary. In the embodiment of the present application, the parameters of the device to be evaluated may further include other parameters, which are not limited.

As a possible implementation manner, the device evaluation apparatus may be in communication connection with a network management platform or a network optimization platform of the device to be evaluated. Furthermore, the device evaluation apparatus may obtain parameter values of sub-parameters included in the state attribute of the device to be evaluated through the network optimization platform, and obtain parameter values of sub-parameters included in the performance attribute of the device to be evaluated through the network management platform or the network optimization platform of the device to be evaluated. The device to be evaluated can also periodically report the performance attribute of the device to be evaluated to the device evaluation device, and correspondingly, the device evaluation device can receive the performance attribute periodically reported by the device to be evaluated.

It should be noted that, the sub-parameter included in each of the plurality of parameters of the device to be evaluated includes a plurality of index types. For example, the index type may include a positive index and a negative index, where the positive index refers to the greater the parameter value of the sub-parameter, the better the stability of the device to be evaluated. The negative index is that the larger the parameter value of the sub-parameter is, the worse the stability of the equipment to be evaluated is.

In some embodiments, to improve the reliability of the data, the device under evaluation may perform data cleansing according to the acquired multiple sub-parameters. For example, the device to be evaluated may delete the repeated content parameters through the repeated content filtering model, and may also increase the filling rate of the sub-parameters by increasing the collection range of the parameters.

S402, aiming at the first parameter, the equipment evaluation device determines a membership matrix of the first parameter to a preset evaluation index set.

Wherein the first parameter is any one of a plurality of parameters, and the evaluation index set comprises a plurality of evaluation indexes; the elements in the membership matrix are membership degrees of the subparameter included in the parameters to the evaluation index; the membership is used to represent the closeness of the parameter value of the sub-parameter to the evaluation value of the evaluation index.

As shown in table 2, the plurality of evaluation indexes included in the evaluation index set (may also be referred to as V) may be excellent (may also be referred to as V1), good (may also be referred to as V2), poor (may also be referred to as V3), and poor (may also be referred to as V4), respectively. The plurality of evaluation indexes may also be provided with corresponding evaluation values. For example, the excellent corresponding evaluation value is 0.05, the good corresponding evaluation value is 0.15, the poor corresponding evaluation value is 0.25, and the poor corresponding evaluation value is 0.5.

Table 2 evaluation index set

Evaluation index	Excellent and excellent properties	Good quality	Poor quality	Very poor
					Evaluation value	0.05	0.15	0.25	0.50

It should be noted that the data of table 2 are merely exemplary. In the embodiment of the application, the index and the corresponding evaluation value of the equipment to be evaluated can be set as other contents without limitation.

As a possible implementation manner, the device evaluation apparatus may calculate a membership degree of each sub-parameter included in the first parameter to each evaluation index, and determine a membership degree matrix of the first parameter to a preset evaluation index set according to the calculated membership degree of each sub-parameter included in the first parameter to each evaluation index.

It should be noted that, in this possible implementation manner, specific description of the membership degree of each evaluation index by each sub-parameter included in the calculated first parameter will be described in the subsequent section, and the disclosure is omitted herein for brevity.

S403, the equipment evaluation device determines a judgment matrix of the first parameter according to the membership matrix of the first parameter and the weight matrix of the first parameter.

The weight matrix and the judging matrix comprise a plurality of elements, the elements in the weight matrix indicate the weights of the sub-parameters in the parameters, and the elements in the judging matrix represent the degree of the parameters approaching to the evaluation index.

The weights of the sub-parameters in the parameters can be set according to requirements. For example, when the first parameter is a basic attribute of the device under evaluation, the weight matrix of the first parameter may beWhen the first parameter is a state attribute of the device to be evaluated, the weight matrix of the first parameter may be/>When the first parameter is a performance attribute of the device under evaluation, the weight matrix of the first parameter may be/>

As a possible implementation manner, after obtaining the membership matrix of the first parameter and the weight matrix of the first parameter, the device evaluation apparatus may multiply the weight matrix of the first parameter with the membership matrix of the first parameter, where the product of the weight matrix of the first parameter and the membership matrix of the first parameter is the judgment matrix of the first parameter.

For example, the weight matrix at the first parameter isThe membership matrix of the first parameter isIn the case of (a), the device evaluation apparatus may determine that the evaluation matrix B of the first parameter is:

s404, the equipment evaluation device determines a target element with the largest value from the evaluation matrix of the first parameter, and determines a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element, so as to obtain a plurality of target performance identifiers corresponding to the plurality of parameters one by one.

Wherein the target performance identifier may represent a stability level of the device under evaluation. For example, the target performance identification may include "high" and "low".

As a possible implementation manner, the device evaluation apparatus is provided with a comparator, and the comparator can compare the values of the plurality of elements in the evaluation matrix one by one, so as to determine the target element with the largest value in the evaluation matrix of the first parameter.

Further, the device evaluation apparatus may determine, according to the position of the target element in the evaluation matrix, a target performance identifier corresponding to the first parameter, and obtain a plurality of target performance identifiers corresponding to the plurality of parameters one to one.

In one example, when the evaluation matrix is [0.2,0.34,0.28,0.18], the device evaluation apparatus may determine that 0.34 is the maximum value in the evaluation matrix, that is, the device evaluation apparatus determines that the target element is 0.34, through the comparator.

In the possible implementation manner, the specific description of determining the target performance identifier corresponding to the first parameter according to the position of the target element in the evaluation matrix will be described in the subsequent section, and the disclosure is omitted herein.

S405, the equipment evaluation device determines the stability type of the equipment to be evaluated according to the plurality of target performance identifiers.

The stability type of the device to be evaluated may include: stable operation equipment, priority maintenance equipment, equipment to be checked, equipment to be periodically maintained, equipment to be maintained and developed, equipment to be checked, equipment to be periodically maintained and equipment to be developed.

As one possible implementation manner, after the device evaluation apparatus acquires the multiple target performance identifiers of the device to be evaluated, the stability type of the device to be evaluated may be determined according to a preset relationship between the target performance identifiers and the stability type.

In one example, where the target performance identification may include "high" and "low," the preset relationship between the target performance identification and the stability type may be as shown in table 3 below.

TABLE 3 preset relationship table of target Performance identification and stability type

Basic attributes	State attributes	Performance attributes	Stability type
				High height	High height	High height	Stable operation equipment
High height	Low and low	Low and low	High priority maintenance device
				High height	Low and low	High height	Equipment to be examined
High height	High height	Low and low	To-be-periodically-maintained equipment
				Low and low	Low and low	Low and low	Development equipment needing maintenance
Low and low	Low and low	High height	Equipment for checking
				Low and low	High height	Low and low	Equipment requiring periodic maintenance
Low and low	High height	High height	Development-needed equipment

It should be noted that the data of table 3 are merely exemplary. In the embodiment of the application, the target performance identifier and the corresponding stability type of the device to be evaluated can be set as other contents without limitation.

Further, after determining the stability type of the device under evaluation, different operation and maintenance policies may be determined for devices of different stability types. For example, as shown in fig. 5, different operation and maintenance policies for different stability types of devices may include:

1. stable operation device: mainly ensures the stability of the equipment and maintains various indexes.

2. High priority maintenance device: the high-priority maintenance equipment has higher level and value, and the influence caused by insufficient stability is larger, so that important guarantee is needed, and the high-priority treatment is needed once the problem occurs.

3. Equipment to be examined: the equipment to be inspected has high value and stable performance, but sporadic state problems can occur, and the equipment to be inspected needs to actively inspect faults and conduct targeted optimization.

4. To periodically maintain the device: the periodic maintenance equipment has high value and stable state, but the periodic collection and reporting of the performance attribute has occasional problems, and the fault should be checked as soon as possible and the periodic maintenance is carried out in recent years.

5. Maintenance and development equipment is needed: the value of the equipment to be maintained and developed is low, the state and performance are unstable, the state and performance indexes are required to be maintained, and the value of the equipment is required to be improved.

6. Equipment to be examined: the performance is stable, and the accidental state problems need to be examined.

7. Periodic maintenance equipment is needed: the state is stable, but the periodic collection and reporting of the performance attribute have occasional problems, and the troubleshooting and the periodic maintenance are required;

8. Equipment needs to be developed: the value is relatively low, the state and performance are stable, and the value of the equipment needs to be improved.

Based on the technical scheme provided by the embodiment of the application, the equipment evaluation device can acquire the parameter value of the sub-parameter included in each parameter in the plurality of parameters of the equipment to be evaluated; determining a membership matrix of the first parameter to a preset evaluation index set aiming at the first parameter; determining a judgment matrix of the first parameter according to the membership matrix of the first parameter and the weight matrix of the first parameter; determining a target element with the largest numerical value from a judgment matrix of the first parameter, and determining a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element to obtain a plurality of target performance identifiers corresponding to a plurality of parameters one by one; and determining the stability type of the equipment to be evaluated according to the plurality of target performance identifiers. Therefore, the equipment evaluation device can more truly reflect the running state of the equipment to be evaluated by acquiring a plurality of parameters of the equipment to be evaluated and acquiring the judgment matrix of the first parameter. And as the target element with the largest value in the evaluation matrix of the first parameter indicates that the equipment to be evaluated is most fit with the evaluation index corresponding to the target element, the evaluation personnel are not required to score the equipment to be evaluated by self experience, and the accuracy of stability evaluation of the equipment can be improved.

In one possible embodiment, as shown in fig. 6, in order to determine a membership matrix of the first parameter to the preset evaluation index set, S402 may specifically include the following S601 to S602:

S601, the equipment evaluation device determines the membership degree of the first subparameter to each evaluation index in a preset evaluation index set aiming at the first subparameter in the first parameter, and obtains a membership degree set of a plurality of subparameters included in the first parameter to each evaluation index in the preset evaluation index set.

As a possible implementation manner, for the first evaluation index, the device evaluation apparatus may obtain the determination result according to whether the second evaluation index and the third evaluation index exist, or only the second evaluation index exists, or only the third evaluation index exists. And determining the membership degree of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the judgment result.

The first evaluation index is any one of the evaluation index sets, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is larger than the first evaluation index.

For example, when the set of evaluation indexes is as shown in table 2, the first evaluation index may be good (evaluation value 0.15), the second evaluation index may be excellent (evaluation value 0.05), and the third evaluation index may be poor (evaluation value 0.25).

For another example, when the set of evaluation indexes is as shown in table 2, the first evaluation index may be poor (evaluation value 0.25), the second evaluation index may be good (evaluation value 0.15), and the third evaluation index may be poor (evaluation value 0.5).

The following describes different judgment results.

Case one: for the first evaluation index, the judgment result is that the second evaluation index and the third evaluation index exist simultaneously.

If the first sub-parameter is located between the second evaluation index and the first evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter.

If the first sub-parameter is located between the first evaluation index and the third evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter.

If the first sub-parameter is smaller than or equal to the second evaluation index or the first parameter is larger than or equal to the third evaluation index, determining that the membership degree of the first sub-parameter to the first evaluation index is 0.

For example, the device evaluation apparatus may determine the membership of the first sub-parameter to the first evaluation index according to the following formula one.

Wherein r12 represents the membership of the first sub-parameter to the first evaluation index. X represents a parameter value of the first sub-parameter. V1 represents the second evaluation index, and V2 represents the first evaluation index. V3 represents a third evaluation index.

The following describes a process of determining the membership degree of the first sub-parameter to the first evaluation index by taking the first sub-parameter as the network equipment loss and taking the parameter value corresponding to the network equipment loss as 0.07 as an example:

for example, in the case where the first evaluation index may be good (evaluation value 0.15), the second evaluation index may be excellent (evaluation value 0.05), and the third evaluation index may be poor (evaluation value 0.25). Since 0.05<0.07<0.15, i.e. V2 < x < V3. Therefore, the membership degree of the first sub-parameter to the first evaluation index

For another example, when the first evaluation index may be poor (evaluation value 0.25), the second evaluation index may be good (evaluation value 0.15), and the third evaluation index may be poor (evaluation value 0.5).

Since 0.07.ltoreq.0.25, i.e.x.ltoreq.V1. Therefore, the membership r12=0 of the first sub-parameter to the first evaluation index.

2. For the first evaluation index, the judgment result is that only the second evaluation index exists.

If the first sub-parameter is smaller than or equal to the second evaluation index, determining that the membership degree of the first sub-parameter to the first evaluation index is 0.

If the first sub-parameter is greater than or equal to the first evaluation index, determining that the membership degree of the first sub-parameter to the first evaluation index is 1.

For example, the device evaluation apparatus may determine the membership of the first sub-parameter to the first evaluation index according to the following formula two.

Taking the first sub-parameter as the loss of the network equipment, the parameter value corresponding to the loss of the network equipment is 0.07 as an example. In the case where the first evaluation index may be poor (evaluation value 0.5) and the second evaluation index may be poor (evaluation value 0.25). Since 0.07.ltoreq.0.25, i.e.x.ltoreq.V2. Therefore, the membership r12=0 of the first sub-parameter to the first evaluation index.

And a third case: for the first evaluation index, the determination result is that only the third evaluation index exists.

If the first sub-parameter is smaller than or equal to the first evaluation index, determining that the membership degree of the first sub-parameter to the first evaluation index is 1.

If the first sub-parameter is greater than or equal to the third evaluation index, determining that the membership degree of the first sub-parameter to the first evaluation index is 0.

For example, the device evaluation apparatus may determine the membership of the first sub-parameter to the first evaluation index according to the following formula three.

Taking the first sub-parameter as the loss of the network equipment, the parameter value corresponding to the loss of the network equipment is 0.07 as an example. In the case where the first evaluation index may be excellent (evaluation value 0.05) and the third evaluation index may be good (evaluation value 0.15). Since 0.05<0.07<0.15, i.e. V2 < x < V3. Therefore, the membership degree of the first sub-parameter to the first evaluation index

In this way, the device evaluation apparatus may determine that when the first sub-parameter is network device loss, a membership set of the network device loss to each evaluation index in the preset evaluation index set is [0.8,0.2,0,0].

Further, the device evaluation apparatus may determine, in the same manner, a membership set of other subparameters in the first parameter to each evaluation index in the preset evaluation index set, which is not described herein. For example, the membership degree set of the multiple sub-parameters included in the first parameter to each of the preset evaluation indexes in the preset evaluation index set may be as shown in table 4.

TABLE 4 membership of multiple sub-parameters to different evaluation indicators

It should be noted that the data of table 4 are merely exemplary. In the embodiment of the application, the membership degree of the multiple sub-parameters to different evaluation indexes can also be set as a numerical value without limitation.

S602, the equipment evaluation device combines the multiple sub-parameters included in the first parameter with the membership set of each evaluation index in the preset evaluation index set to obtain a membership matrix of the first parameter.

As a possible implementation manner, the device evaluation apparatus may use, as the element of each column in the membership matrix, membership of the multiple sub-parameters included in the first parameter to the same evaluation index. And taking the membership degree of the first sub-parameter included in the first parameter to each evaluation index in the evaluation index set as the element of each row in the membership degree matrix.

For example, when the first parameter is a basic attribute, the sub-parameters included in the first parameter are flash break, zero traffic hang-up, ring break, cell out-of-service, and traffic base station level. The device evaluation apparatus may determine that the membership matrix of the first parameter may be according to table 4 above

In one possible embodiment, in order to determine the target performance identifier corresponding to the first parameter, the embodiment of the present application may further include the following S701:

S701, the device evaluation device queries a target performance identifier corresponding to the first parameter from a preset mapping relation according to the target evaluation index.

The mapping relation is used for indicating the corresponding relation between the evaluation index and the performance identifier.

In one example, as shown in table 5 below, where the evaluation index includes excellent, good, poor, the performance indicator for excellent and good correspondence may be high, and the performance indicator for poor, poor correspondence may be low.

Table 5 mapping table

Evaluation index	Excellent and excellent properties	Good quality	Poor quality	Very poor
					Performance identification	High height	High height	Low and low	Low and low

It should be noted that the data of table 5 are merely exemplary. In the embodiment of the application, the index of the equipment to be evaluated and the corresponding performance identifier can be set as other contents without limitation.

The above embodiments of the present application may be combined without contradiction.

The embodiment of the application can divide the functional modules or functional units of the device evaluation apparatus according to the above method examples, for example, each functional module or functional unit can be divided corresponding to each function, or two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiment of the present application is schematic, which is merely a logic function division, and other division manners may be implemented in practice.

In the case of dividing the individual functional modules into individual functions, fig. 7 shows a schematic diagram of a device evaluation apparatus, which can be a device evaluation apparatus 12 or a chip of the device evaluation apparatus 12, which can be used to perform the functions of the device evaluation apparatus as described in the above embodiments. The apparatus evaluation device shown in fig. 7 may include: an acquisition unit 701 and a determination unit 702.

An obtaining unit 701, configured to obtain parameter values of sub-parameters included in each of a plurality of parameters of the device to be evaluated, where the plurality of parameters characterize different attribute types;

A determining unit 702, configured to determine, for a first parameter, a membership matrix of the first parameter to a preset evaluation index set; the first parameter is any one of a plurality of parameters, and the evaluation index set comprises a plurality of evaluation indexes; the elements in the membership matrix are membership degrees of the subparameter included in the parameters to the evaluation index; the membership is used for representing the closeness degree of the parameter value of the sub-parameter and the evaluation value of the evaluation index;

The determining unit 702 is further configured to determine a judgment matrix of the first parameter according to the membership matrix of the first parameter and the weight matrix of the first parameter; the elements in the weight matrix indicate the weights of the sub-parameters in the parameters, and the elements in the judgment matrix represent the degree to which the parameters are close to the evaluation indexes;

the determining unit 702 is further configured to determine a target element with a maximum value from the evaluation matrix of the first parameter, and determine a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element, so as to obtain a plurality of target performance identifiers corresponding to the plurality of parameters one by one;

the determining unit 702 is further configured to determine a stability type of the device under evaluation according to the plurality of target performance identifiers.

In a possible design, the determining unit 702 is specifically configured to: determining the membership degree of the first subparameter to each evaluation index in a preset evaluation index set aiming at the first subparameter in the first parameter to obtain the membership degree of a plurality of subparameters included in the first parameter to each evaluation index in the preset evaluation index set, wherein the first subparameter is any subparameter in the first parameter; combining the membership degree of each evaluation index in the preset evaluation index set by a plurality of sub-parameters included in the first parameter to obtain a membership degree matrix of the first parameter.

In a possible design, the determining unit 702 is specifically further configured to: judging whether the second evaluation index and the third evaluation index exist at the same time or not, or whether only the second evaluation index exists or only the third evaluation index exists, and obtaining a judging result; the first evaluation index is any one of the evaluation index sets, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is larger than the first evaluation index; and determining the membership degree of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the judgment result.

In a possible design, the determining unit 702 is specifically further configured to: if the judging result is that the second evaluation index and the third evaluation index exist simultaneously, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter if the first sub-parameter is located between the second evaluation index and the first evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter if the first sub-parameter is located between the first evaluation index and the third evaluation index, and determining the membership degree of the first sub-parameter to the first evaluation index if the first sub-parameter is smaller than or equal to the second evaluation index or the first parameter is larger than or equal to the third evaluation index.

In a possible design, the determining unit 702 is specifically further configured to: if the judging result is that only the second evaluation index exists, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter, determining the membership degree of the first sub-parameter to the first evaluation index to be 0 if the first sub-parameter is smaller than or equal to the second evaluation index, and determining the membership degree of the first sub-parameter to be 1 if the first sub-parameter is larger than or equal to the first evaluation index.

In a possible design, the determining unit 702 is specifically further configured to: if the judging result is that only the third evaluation index exists, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter, determining the membership degree of the first sub-parameter to the first evaluation index to be 1 if the first sub-parameter is smaller than or equal to the first evaluation index, and determining the membership degree of the first sub-parameter to be 0 if the first sub-parameter is larger than or equal to the third evaluation index.

In a possible design, the determining unit 702 is specifically further configured to: inquiring a target performance identifier corresponding to the first parameter from a preset mapping relation according to the target evaluation index; the mapping relationship is used for indicating the corresponding relationship between the evaluation index and the performance identifier.

In one possible design, the plurality of parameters includes at least two of a basic attribute, a state attribute and a performance attribute of the device to be evaluated, the sub-parameters included in the basic attribute include one or more of a level of the device to be evaluated and a value area type of the device to be evaluated, the sub-parameters included in the state attribute include one or more of a flash break, a zero traffic hang, a ring break, a cell out-of-service and a traffic volume of the device to be evaluated, and the sub-parameters included in the performance attribute include one or more of a device loss of the device to be evaluated, a maintenance level of the device to be evaluated, a network emergency response level, an electrical efficiency, an access performance, a retention performance and a mobility performance.

The embodiment of the application also provides a computer readable storage medium. All or part of the flow in the above method embodiments may be implemented by a computer program to instruct related hardware, where the program may be stored in the above computer readable storage medium, and when the program is executed, the program may include the flow in the above method embodiments. The computer readable storage medium may be an internal storage unit of the device evaluation apparatus (including the data transmitting end and/or the data receiving end) of any of the foregoing embodiments, for example, a hard disk or a memory of the device evaluation apparatus. The computer-readable storage medium may be an external storage device of the terminal apparatus, for example, a plug-in hard disk, a smart card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, or a flash memory card (FLASH CARD) provided in the terminal apparatus. Further, the above-described computer-readable storage medium may further include both the internal storage unit and the external storage device of the above-described device evaluation apparatus. The computer-readable storage medium is used for storing the computer program and other programs and data required by the device evaluation apparatus. The above-described computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

It should be noted that the terms "first" and "second" and the like in the description, the claims and the drawings of the present application are used for distinguishing between different objects and not for describing a particular sequential 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, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

It should be understood that, in the present application, "at least one (item)" means one or more, "a plurality" means two or more, "at least two (items)" means two or three and three or more, "and/or" for describing an association relationship of an association object, three kinds of relationships may exist, for example, "a and/or B" may mean: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and the parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely illustrative of specific embodiments of the present application, and the scope of the present application is not limited thereto, but any changes or substitutions within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims

1. A device evaluation method applied to a base station, the method comprising:

Acquiring parameter values of sub-parameters included in each parameter of a plurality of parameters of equipment to be evaluated, wherein the parameters represent different attribute types, and the parameters comprise at least two of basic attributes, state attributes and performance attributes of the equipment to be evaluated;

Determining a membership matrix of a first parameter to a preset evaluation index set aiming at the first parameter; the first parameter is any one of the plurality of parameters, and the evaluation index set comprises a plurality of evaluation indexes; the elements in the membership matrix are membership degrees of the sub-parameters included in the parameters to the evaluation index; the membership is used for representing the closeness degree of the parameter value of the sub-parameter and the evaluation value of the evaluation index;

Determining a judgment matrix of the first parameter according to the membership matrix of the first parameter and the weight matrix of the first parameter; the elements in the weight matrix indicate the weights of the sub-parameters in the parameters, and the elements in the evaluation matrix represent the degree to which the parameters are close to the evaluation index;

Determining a target element with the largest value from the evaluation matrix of the first parameter, and determining a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element to obtain a plurality of target performance identifiers corresponding to the plurality of parameters one by one; the target performance identifier is used for representing the stability level of the device to be evaluated;

Determining the stability type of the equipment to be evaluated according to the target performance identifiers; the stability types include: stable operation equipment, priority maintenance equipment, equipment to be checked, equipment to be periodically maintained, equipment to be maintained and developed, equipment to be checked, equipment to be periodically maintained and equipment to be developed.

2. The method of claim 1, wherein the determining a membership matrix of the first parameter to a set of preset evaluation indicators comprises:

Determining the membership degree of the first subparameter to each evaluation index in the evaluation index set aiming at a first subparameter in the first parameter to obtain a membership degree set of a plurality of subparameters included in the first parameter to each evaluation index in the evaluation index set, wherein the first subparameter is any subparameter in the first parameter;

And combining the membership degree sets of each evaluation index in the evaluation index sets by a plurality of sub-parameters included in the first parameter to obtain the membership degree matrix of the first parameter.

3. The method of claim 2, wherein the determining the membership of the first subparameter to each of the set of evaluation indexes comprises:

Judging whether a second evaluation index and a third evaluation index exist simultaneously or not, or whether only the second evaluation index exists or only the third evaluation index exists, and obtaining a judging result; the first evaluation index is any one of the evaluation index sets, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is larger than the first evaluation index;

and determining the membership degree of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the judging result.

4. The method of claim 3, wherein the determining the membership of the first sub-parameter to the first evaluation index based on the first sub-parameter, the first evaluation index, and the determination result comprises:

If the judging result is that the second evaluation index and the third evaluation index exist simultaneously, if the first sub-parameter is located between the second evaluation index and the first evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter, and if the first sub-parameter is located between the first evaluation index and the third evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter, and if the first sub-parameter is smaller than or equal to the second evaluation index or the first parameter is larger than or equal to the third evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index to be 0.

5. The method of claim 3, wherein the determining the membership of the first sub-parameter to the first evaluation index based on the first sub-parameter, the first evaluation index, and the determination result comprises:

If the judging result is that only the second evaluation index exists, if the first sub-parameter is located between the second evaluation index and the first evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the second evaluation index and the first sub-parameter, and if the first sub-parameter is smaller than or equal to the second evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index to be 0, and if the first sub-parameter is larger than or equal to the first evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index to be 1.

6. The method of claim 3, wherein the determining the membership of the first sub-parameter to the first evaluation index based on the first sub-parameter, the first evaluation index, and the determination result comprises:

If the judging result is that only the third evaluation index exists, if the first sub-parameter is located between the first evaluation index and the third evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index according to the first evaluation index, the third evaluation index and the first sub-parameter, and if the first sub-parameter is smaller than or equal to the first evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index to be 1, and if the first sub-parameter is larger than or equal to the third evaluation index, determining the membership degree of the first sub-parameter to the first evaluation index to be 0.

7. The method according to claim 1, wherein the determining, according to the target evaluation index corresponding to the target element, the target performance identifier corresponding to the first parameter includes:

inquiring a target performance identifier corresponding to the first parameter from a preset mapping relation according to the target evaluation index; the mapping relation is used for indicating the corresponding relation between the evaluation index and the performance identifier.

8. The method of any of claims 1-7, wherein the sub-parameters included by the base attributes comprise one or more of a level of the device under evaluation, a type of a value area of the device under evaluation, the sub-parameters included by the status attributes comprise one or more of a flashover, a dead zero traffic, a broken ring, a cell out-of-service, a traffic volume of the device under evaluation, and the sub-parameters included by the performance attributes comprise one or more of a loss of the device under evaluation, a maintenance level of the device under evaluation, a network emergency response level, an electrical performance, an access performance, a retention performance, a mobility performance.

9. An apparatus evaluation device applied to a base station, characterized in that the device comprises an acquisition unit and a determination unit;

The obtaining unit is configured to obtain parameter values of sub-parameters included in each parameter of multiple parameters of the device to be evaluated, where the multiple parameters characterize different attribute types, and the multiple parameters include at least two of a basic attribute, a state attribute, and a performance attribute of the device to be evaluated;

The determining unit is used for determining a membership matrix of a first parameter to a preset evaluation index set aiming at the first parameter; the first parameter is any one of the plurality of parameters, and the evaluation index set comprises a plurality of evaluation indexes; the elements in the membership matrix are membership degrees of the sub-parameters included in the parameters to the evaluation index; the membership is used for representing the closeness degree of the parameter value of the sub-parameter and the evaluation value of the evaluation index;

The determining unit is further configured to determine a judgment matrix of the first parameter according to the membership matrix of the first parameter and a weight matrix of the first parameter; the elements in the weight matrix indicate the weights of the sub-parameters in the parameters, and the elements in the evaluation matrix represent the degree to which the parameters are close to the evaluation index;

The determining unit is further configured to determine a target element with a largest numerical value from the evaluation matrix of the first parameter, and determine a target performance identifier corresponding to the first parameter according to a target evaluation index corresponding to the target element, so as to obtain a plurality of target performance identifiers corresponding to the plurality of parameters one by one; the target performance identifier is used for representing the stability level of the device to be evaluated;

The determining unit is further configured to determine a stability type of the device to be evaluated according to the multiple target performance identifiers; the stability types include: stable operation equipment, priority maintenance equipment, equipment to be checked, equipment to be periodically maintained, equipment to be maintained and developed, equipment to be checked, equipment to be periodically maintained and equipment to be developed.

10. The apparatus according to claim 9, wherein the determining unit is specifically configured to:

determining the membership degree of the first subparameter to each evaluation index in the evaluation index set aiming at a first subparameter in the first parameter to obtain the membership degree of a plurality of subparameters included in the first parameter to each evaluation index in the evaluation index set, wherein the first subparameter is any subparameter in the first parameter;

And combining the membership degree of each evaluation index in the evaluation index set by a plurality of sub-parameters included in the first parameter to obtain the membership degree matrix of the first parameter.

11. The apparatus according to claim 10, wherein the determining unit is further specifically configured to:

12. The apparatus according to claim 11, wherein the determining unit is further specifically configured to:

13. The apparatus according to claim 11, wherein the determining unit is further specifically configured to:

14. The apparatus according to claim 11, wherein the determining unit is further specifically configured to:

15. The apparatus according to claim 9, wherein the determining unit is further specifically configured to:

16. The apparatus of any of claims 9-15, wherein the plurality of parameters includes at least two of a basic attribute, a status attribute, and a performance attribute of the device under evaluation, the sub-parameters included by the basic attribute include one or more of a level of the device under evaluation, a value zone type of the device under evaluation, the sub-parameters included by the status attribute include one or more of a flashover, a dead of zero traffic, a broken ring, a cell out-of-service, and a traffic volume of the device under evaluation, and the sub-parameters included by the performance attribute include one or more of a device loss of the device under evaluation, a maintenance level of the device under evaluation, a network emergency response level, an electrical performance, an access performance, a retention performance, and a mobility performance.

17. A computer readable storage medium having instructions stored therein which, when executed, implement the method of any of claims 1-8.

18. A device evaluation apparatus, characterized by comprising: a processor, a memory, and a communication interface; wherein the communication interface is used for the equipment evaluation device to communicate; the memory is configured to store one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the device evaluation apparatus, cause the device evaluation apparatus to perform the method of any of claims 1-8.