CN115396920A

CN115396920A - Equipment evaluation method and device and readable storage medium

Info

Publication number: CN115396920A
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: 2022-11-25
Anticipated expiration: 2042-08-22
Also published as: CN115396920B

Abstract

The application discloses a device evaluation method, a device and a readable storage medium, relates to the technical field of communication, and is used for improving the accuracy of stability evaluation on a device. The method comprises the following steps: acquiring a parameter value of a sub-parameter included in each of a plurality of parameters of equipment to be evaluated; aiming at the first parameter, determining a membership matrix of the first parameter to a preset evaluation index set; 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 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 a plurality of parameters one to one; and determining the stability type of the equipment to be evaluated according to the plurality of target performance identifiers.

Description

Equipment evaluation method and device and readable storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a device evaluation method and apparatus, and a readable storage medium.

Background

With the development of the fifth generation mobile communication (5-generation, 5G) technology, the user volume and the service volume of 5G are increasing, the network environment is more complex, and the reasonable stability evaluation 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, the stability of the base station is mostly analyzed based on Key Performance Indicators (KPI), and since the KPI scores are evaluated manually, the evaluation experience of an evaluator is too much depended on, so that the accuracy of the stability evaluation of the base station is reduced. Therefore, how to evaluate the stability of the base station is an urgent technical problem to be solved.

Disclosure of Invention

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

In order to achieve the purpose, the technical scheme is as follows:

in a first aspect, a device evaluation method is provided, including: acquiring a parameter value of a sub-parameter included in each of a plurality of parameters of equipment to be evaluated, wherein the plurality of parameters represent different attribute types; aiming at the first parameter, determining 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 element in the membership degree matrix is the membership degree of the sub-parameter included by the parameter to the evaluation index; the membership degree 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; elements in the weight matrix indicate the weight of the sub-parameters in the parameters, and the degree of the element characterization parameters in the matrix approaching the evaluation indexes is judged; 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 a plurality of parameters one to 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 reflect the running state of the equipment to be evaluated more truly by acquiring a plurality of parameters of the equipment to be evaluated and acquiring the judgment matrix of the first parameter. The target element with the largest value in the evaluation matrix of the first parameter indicates that the evaluation index of the equipment to be evaluated is closest to the evaluation index of the target element, so that an evaluator 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 a membership matrix of the first parameter to the preset evaluation index set includes: aiming at a first sub-parameter in the first parameter, determining the membership degree of the first sub-parameter to each evaluation index in the evaluation index set to obtain a membership degree set of a plurality of sub-parameters included in the first parameter to each evaluation index in the evaluation index set, wherein the first sub-parameter is any one sub-parameter in the first parameter; and combining the membership degree sets of each evaluation index in the evaluation index sets by using a plurality of sub-parameters included in the first parameter to obtain a membership degree matrix of the first parameter.

Thus, the device evaluation apparatus may determine the membership of the plurality of sub-parameters included in each parameter to each evaluation index in the evaluation index set, to obtain a membership matrix of each parameter.

Optionally, determining the membership degree of the first sub-parameter to each evaluation index in the evaluation index set includes: for the first evaluation index, judging whether a second evaluation index and a third evaluation index exist at the same time, or only the second evaluation index exists, or only the third evaluation index exists, and obtaining a 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; 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 equipment evaluation device can determine the membership degree of the first sub-parameter to the first evaluation index under different conditions by judging the existence condition 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 determination result, includes: and 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 less than or equal to the second evaluation index or the first parameter is greater 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.

In this way, the equipment evaluation device can determine the degree of membership of different sub-parameters for each evaluation index in the case where the second evaluation index and the third evaluation index coexist.

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 determination result, includes: and under the condition that only the second evaluation index exists in the judgment result, if the first sub-parameter is positioned 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 less 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 greater 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.

In this way, the equipment evaluation device can determine the degree of membership of different sub-parameters for each evaluation index in the case where only the second evaluation index exists.

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 determination result, includes: 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, if the first sub-parameter is less 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 greater 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.

In this way, the equipment evaluation device can determine the degree of membership of different sub-parameters for each evaluation index in the case where only the third evaluation index exists.

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

In this way, by the 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 when determining the target evaluation index.

Optionally, 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 sub-parameter included in the basic attribute includes 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-parameter included in the state attribute includes one or more of a flash break, a zero service hang-up, a ring break, a cell fallback, and a traffic volume of the device to be evaluated, and the sub-parameter included in the performance attribute includes one or more of a device loss of the device to be evaluated, a maintenance degree of the device to be evaluated, a network emergency response degree, an electricity utilization efficiency, an access performance, a maintenance performance, and a mobility performance.

Through the plurality of parameters of the equipment to be evaluated, the running state of the equipment to be evaluated can be more accurately reflected. Thereby improving the accuracy of stability evaluation of the equipment to be evaluated

In a second aspect, an apparatus for evaluating a device is provided, which includes an obtaining unit, a determining unit;

the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring the parameter value of a sub-parameter included in each parameter of a plurality of parameters of the device 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 element in the membership degree matrix is the membership degree of the sub-parameter included by the parameter to the evaluation index; the membership degree 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 used for 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; elements in the weight matrix indicate the weight of the sub-parameters in the parameters, and the degree of the element characterization parameters in the matrix approaching the evaluation indexes is judged;

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 to one;

and the determining unit is further 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: aiming at a first sub-parameter in the first parameter, determining the membership degree of the first sub-parameter to each evaluation index in the evaluation index set to obtain a membership degree set of a plurality of sub-parameters included in the first parameter to each evaluation index in the evaluation index set, wherein the first sub-parameter is any one sub-parameter in the first parameter; and combining the membership degree of each evaluation index in the evaluation index set by the 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: for the first evaluation index, judging whether a second evaluation index and a third evaluation index exist at the same time, or only the second evaluation index exists, or only the third evaluation index exists, and obtaining a 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; 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 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, and if the first sub-parameter is less than or equal to the second evaluation index or the first parameter is greater 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.

Optionally, the determining unit is specifically further configured to: 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.

Optionally, the determining unit is specifically further configured to: 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, if the first sub-parameter is less 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 greater 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.

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 relation is used for indicating the corresponding relation between the evaluation index and the performance identification.

Optionally, 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 sub-parameter included in the basic attribute includes one or more of a class of the device to be evaluated and a value area type of the device to be evaluated, the sub-parameter included in the state attribute includes one or more of a flash break, a zero traffic hang-up, a ring break, a cell fallback, and a traffic volume of the device to be evaluated, and the sub-parameter included in the performance attribute includes one or more of a device loss of the device to be evaluated, a maintenance degree of the device to be evaluated, a network emergency response degree, an electricity utilization efficiency, an access performance, a retention performance, and a mobility performance.

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

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

In a fourth aspect, a computer-readable storage medium is provided, which may be a readable non-volatile storage medium, the computer-readable storage medium storing a computer instruction or program which, when executed on a computer, causes the computer to perform the first aspect or any one of the possible device evaluation 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 a device evaluation method of the first aspect described above or of any one of the possible designs of the above aspects.

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

In a seventh aspect, a chip system is provided, where the chip system includes a processor and a communication interface, and the chip system may be configured to implement the functions performed by the device evaluation apparatus in the first aspect or any one of the possible designs of the first aspect, and in one possible design, the chip system further includes a memory and a storage, and the memory is configured to store program instructions and/or data. The chip system may be formed by a chip, and may also 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 disclosure;

FIG. 3 is a schematic structural diagram of another apparatus evaluation device provided in the embodiment of the present application;

fig. 4 is a schematic flowchart of an apparatus evaluation method according to an embodiment of the present application;

FIG. 5 is a schematic diagram of an apparatus of the various types of stability provided by embodiments of the present application;

fig. 6 is a schematic flowchart of another apparatus 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 make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in 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 claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the embodiments of the application, as detailed in the appended 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 service volume of 5G are increasing day by day, the network environment is more complex, and the 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 evaluation is performed based on key performance indicators KPI, and since the scores of the KPI indicators are evaluated manually, the evaluation experience of an evaluator is too much depended on, so that the accuracy of the stability evaluation of the base station is reduced.

In view of this, an embodiment of the present application provides an apparatus evaluation method, including: acquiring a parameter value of a sub-parameter included in each of a plurality of parameters of equipment to be evaluated, wherein the plurality of parameters represent different attribute types; aiming at the first parameter, determining 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 element in the membership degree matrix is the membership degree of the sub-parameter included by the parameter to the evaluation index; the membership degree 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; elements in the weight matrix indicate the weight of the sub-parameters in the parameters, and the degree of the element characterization parameters in the evaluation matrix approaching the evaluation index is judged; 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 a plurality of parameters one to 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 explained in detail in the following 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 illustrating the technical solution of the embodiment of the present application, and does not constitute a limitation to the technical solution provided in the embodiment of the present application, and as a person having ordinary skill in the art knows that along 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 also applicable to similar technical problems.

Fig. 1 is a schematic diagram illustrating a network architecture provided in an embodiment of the present application. As shown in fig. 1, the network architecture may include a device to be evaluated 11 and a device evaluation apparatus 12. The device to be evaluated 11 may be connected to the evaluation apparatus 12 via a wireless resource and perform data transmission.

The device to be evaluated 11 related in 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 (WIFI) system, a wireless relay node, a wireless backhaul node, a Transmission Point (TP), or a Transmission and Reception Point (TRP). In the embodiment of the present application, the specific technology and the specific apparatus form used for the apparatus 11 to be evaluated are not limited.

The device evaluation apparatus 12 in the embodiments of the present application is used to evaluate the stability of the device 11 to be evaluated. For example, the equipment evaluation device 12 may be a server, a computer, or the like. The embodiment of the present application does not limit the specific technique, the specific number, and the specific apparatus form adopted by the apparatus evaluation device 12.

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

Fig. 2 is a schematic structural diagram of an apparatus evaluation device provided in an embodiment of the present application. As shown in fig. 2, the device evaluation apparatus may include an analysis system establishing module, a data collecting module, a data processing module, a comprehensive evaluation module, a data storage module, and a visualization presenting module. The connection manner of each module may be as shown in fig. 2, which is not described in detail.

The analysis system establishing module can be used for determining an influence factor influencing the equipment to be evaluated. For example, the impact factors that impact 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 basic attributes, state attributes, performance attributes and other related parameters 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 reference may be specifically made to the description of the following 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 can be used for storing the processing procedures and the processing results of the modules. The visual presentation module may be used to display functions available to the user for browsing, selection and operation via the display device.

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

Further, the device evaluation apparatus 300 may further include 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 (NP), a Digital Signal Processor (DSP), a microprocessor, a microcontroller, a Programmable Logic Device (PLD), or any combination thereof. The processor 301 may also be other devices with 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.

A memory 304 for storing instructions. Wherein the instructions may be a computer program.

The memory 304 may be a read-only memory (ROM) or other types of static storage devices that can store static information and/or instructions, a Random Access Memory (RAM) or other types of dynamic storage devices that can store information and/or instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), a magnetic disc storage medium or other magnetic storage devices, and the like, without limitation.

It is noted that the memory 304 may exist independently of the processor 301 or may be integrated with the processor 301. The memory 304 may be used for storing instructions or program code or some data or the like. The memory 304 may be located inside the device evaluation apparatus 300 or outside the device evaluation apparatus 300, which is not limited. 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, in addition to the processor 301 in fig. 3, the processor 305 may also be included.

It is noted that the constituent structure shown in fig. 3 does not constitute a limitation of the respective devices in fig. 1, and the respective devices in fig. 1 may include more or less components than those shown in fig. 3, or combine some components, or different arrangement of components, in addition to the components shown in fig. 3.

In the embodiment of the present application, the chip system may be composed of a chip, and may also include a chip and other discrete devices.

In addition, actions, terms, and the like related between the embodiments of the present application may be mutually referenced, without limitation. In the embodiment of the present application, the name of the message exchanged between the devices or the name of the parameter in the message, etc. are only an example, and other names may also be used in the specific implementation, which is not limited.

In the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same or similar items having substantially the same function and action. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance.

It is noted that, in the present application, words such as "exemplary" or "for example" are used to mean exemplary, illustrative, or descriptive. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

In this application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. 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 multiple.

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

Fig. 4 provides a device evaluation method for a device evaluation apparatus according to an embodiment of the present application, where the device evaluation apparatus may be the device evaluation apparatus 12 in fig. 1, may also be a device, such as a chip, in the device evaluation apparatus 12, and may also be the device evaluation apparatus. As shown in fig. 4, the method includes the following S401-S405:

s401, the device evaluation apparatus obtains a parameter value of a sub-parameter 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, and may also be a device, such as a chip, in the device to be evaluated 11. The plurality of parameters characterize 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 to be evaluated, and a value area type of the device to be evaluated. The sub-parameters included in the state attribute comprise flash break and long break of the equipment to be evaluated, zero service hang-up, broken ring, cell service withdrawal and service volume. The sub-parameters included in the performance attributes comprise equipment loss of the 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 mobility performance.

TABLE 1A schematic representation of a number of parameters of a device to be evaluated

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

As a possible implementation manner, the device evaluation apparatus may perform 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, through the network optimization platform, the parameter value of the sub-parameter included in the status attribute of the device to be evaluated, and obtain, through the network management platform or the network optimization platform of the device to be evaluated, the parameter value of the sub-parameter included in the performance attribute of the device to be evaluated. The device to be evaluated may also report its own performance attribute to the device evaluation apparatus periodically, and correspondingly, the device evaluation apparatus may receive the performance attribute periodically reported by the device to be evaluated.

It should be noted that the sub-parameters included in each of the multiple parameters of the device to be evaluated include multiple index types. For example, the index type may include a positive index and a negative index, where the larger the parameter value of the sub-parameter is, the better the stability of the device to be evaluated is. The negative index means 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, in order to improve the reliability of the data, the device to be evaluated may perform data cleaning according to the acquired plurality of sub-parameters. For example, the device to be evaluated may delete the repeated content parameter through the repeated content filtering model, and may 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.

The first parameter is any one of a plurality of parameters, and the evaluation index set comprises a plurality of evaluation indexes; the element in the membership degree matrix is the membership degree of the sub-parameter included by the parameter to the evaluation index; the membership degree is used to indicate the degree of closeness of the parameter value of the sub-parameter to the evaluation value of the evaluation index.

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

TABLE 2 evaluation index set

Evaluation index	It is excellent in	Good effect	Poor quality	Is very poor
					Evaluation value	0.05	0.15	0.25	0.50

It should be noted that the data in table 2 are merely exemplary. In the embodiment of the present application, the index of the device to be evaluated and the corresponding evaluation value may also be set to other contents, which is not limited.

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, the specific description of the membership degree of each sub-parameter included in the first parameter obtained through calculation in the possible implementation manner to each evaluation index will be described in the subsequent section, and details of the present application are not repeated herein.

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

The weight matrix and the judgment matrix comprise a plurality of elements, the elements in the weight matrix indicate the weight of the sub-parameters in the parameters, and the elements in the judgment matrix represent the degree of the parameters approaching the evaluation indexes.

Wherein, the weight of the sub-parameter in the parameter can be set according to the requirement. For example, when the first parameter is a basic attribute of the device to be evaluated, the weight matrix of the first parameter may be

When the first parameter is the status 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 to be evaluated, 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 and the membership matrix of the first parameter, where a product of the weight matrix of the first parameter and the membership matrix of the first parameter is a judgment matrix of the first parameter.

For example, the weight matrix at the first parameter is

The membership matrix of the first parameter is

In this case, 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 numerical 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 to obtain a plurality of target performance identifiers corresponding to the plurality of parameters one by one.

Wherein the target performance identity 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, a comparator is arranged in the device evaluation apparatus, and the comparator can compare the numerical 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 the target performance identifier corresponding to the first parameter according to the position of the target element in the evaluation matrix, to 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 0.34 as the maximum value in the evaluation matrix by the comparator, i.e., the device evaluation apparatus determines the target element to be 0.34.

It should be noted that, in this possible implementation manner, a 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 a subsequent section, which is not repeated herein.

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

The stability type of the device to be evaluated may include: the method comprises the steps of stably operating 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 a possible implementation manner, after obtaining multiple target performance identifiers of the device to be evaluated, the device evaluation apparatus may determine the stability type of the device to be evaluated according to a preset relationship between the target performance identifiers and the stability types.

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

TABLE 3 Preset relationship Table for target Performance identification and stability type

Fundamental Properties	State attributes	Performance attributes	Type of stability
				Height of	High (a)	High (a)	Stable operation equipment
Height of	Is low in	Is low with	High priority maintenance device
				Height of	Is low with	Height of	Device to be checked
Height of	High (a)	Is low in	To-be-periodically maintained equipment
				Is low with	Is low in	Is low in	Maintenance-required development equipment
Is low in	Is low with	Height of	Equipment to be checked
				Is low with	High (a)	Is low with	Equipment needing periodic maintenance
Is low in	Height of	Height of	Development-required equipment

It should be noted that the data in table 3 are merely exemplary. In the embodiment of the present application, the target performance identifier and the corresponding stability type of the device to be evaluated may also be set as other contents, which is not limited.

Further, after determining the stability type of the device to be evaluated, 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. stably operating the equipment: the stability of the equipment is mainly guaranteed, and various indexes are maintained stably.

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 once problems occur, high-priority treatment is needed.

3. Equipment to be investigated: the equipment to be checked has high value and stable performance, but occasional state problems can occur, and faults need to be actively checked to carry out targeted optimization.

4. The equipment to be periodically maintained: the equipment to be periodically maintained has high value and stable state, but the performance attributes which are periodically collected and reported have occasional problems, faults should be checked as soon as possible, and the equipment is periodically maintained in recent years.

5. The equipment needs to be maintained and developed: the value of equipment needing to be maintained and developed is low, the state and the performance are unstable, the state and the performance index need to be maintained, and meanwhile, the value of the equipment needs to be improved.

6. Equipment to be checked: the performance is stable, and the problem of accidental state needs to be checked.

7. Equipment needs to be periodically maintained: the state is stable, but the performance attribute which is periodically collected and reported has occasional problems, and fault removal and periodic maintenance are needed;

8. equipment needs to be developed: the value is relatively low, the state and the 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 of the plurality of parameters of the equipment to be evaluated; aiming at the first parameter, determining a membership matrix of the first parameter to a preset evaluation index set; 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 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 a plurality of parameters one to 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. 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, and an evaluator does not need to score the equipment to be evaluated by self experience, so that the accuracy of stability evaluation of the equipment can be improved.

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

s601, the equipment evaluation device determines the membership degree of the first sub-parameter to each evaluation index in a preset evaluation index set according to the first sub-parameter in the first parameter, and obtains the membership degree set of a plurality of sub-parameters 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 means may obtain the determination result according to the determination 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, in the case where the evaluation index set is as shown in table 2 above, 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 example, when the evaluation index set 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 explains different judgment results.

The first condition is as follows: as for the first evaluation index, the second evaluation index and the third evaluation index are simultaneously present as a result of the determination.

And if the first sub-parameter is positioned 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 positioned 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 less than or equal to the second evaluation index, or the first 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 equipment evaluation device may determine the degree of membership of the first sub-parameter to the first evaluation index according to the following formula one.

Wherein r12 represents the degree of membership of the first sub-parameter to the first evaluation index. X denotes 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 of the first sub-parameter to the first evaluation index, taking the first sub-parameter as the network device loss and the parameter value corresponding to the network device 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). Due to 0.05<0.07<0.15, i.e. V2 < x < V3. Thus, the degree of membership of the first sub-parameter to the first evaluation index

For example, 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 is less than or equal to 0.25, namely x is less than or equal to V1. Therefore, the degree of membership r12=0 of the first sub-parameter to the first evaluation index.

2. The first evaluation index is judged to be only the second evaluation index.

And if the first sub-parameter is less 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.

And 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 equipment evaluation device may determine the degree of membership of the first sub-parameter to the first evaluation index according to the following formula two.

Take the first sub-parameter as the loss of the network device, and the parameter value corresponding to the loss of the network device is 0.07 as an example. In the case where the first evaluation index may be very poor (evaluation value 0.5) and the second evaluation index may be poor (evaluation value 0.25). Since 0.07 is less than or equal to 0.25, namely x is less than or equal to V2. Therefore, the degree of membership r12=0 of the first sub-parameter to the first evaluation index.

Case three: as for the first evaluation index, the judgment result is that only the third evaluation index exists.

And if the first sub-parameter is less 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.

And 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 equipment evaluation device may determine the degree of membership of the first sub-parameter to the first evaluation index according to the following formula three.

Take the first sub-parameter as the loss of the network device, and the parameter value corresponding to the loss of the network device 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). Due to 0.05<0.07<0.15, i.e. V2 < x < V3. Thus, the degree of membership of the first sub-parameter to the first evaluation index

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

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

TABLE 4 membership of several sub-parameters to different evaluation indexes

It should be noted that the data in table 4 are merely exemplary. In the embodiment of the application, the membership degrees of the plurality of sub-parameters to different evaluation indexes can also be set as numerical values, and are not limited.

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

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

For example, when the first parameter is a basic attribute, and the sub-parameters included in the first parameter are flash long break, zero traffic hang-up, ring break, cell fallback, traffic base station level. The equipment evaluation device may determine from Table 4 above that the membership matrix for the first parameter may be

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

and S701, the equipment 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 identification.

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

TABLE 5 mapping relation table

Evaluation index	Is excellent in	Is good	Poor quality	Is very poor
					Performance identification	High (a)	Height of	Is low with	Is low in

It should be noted that the data in table 5 are merely exemplary. In the embodiment of the present application, the index of the device to be evaluated and the corresponding performance identifier may also be set as other contents, which is not limited.

All the schemes in the above embodiments of the present application can be combined without contradiction.

In the embodiment of the present application, the device evaluation apparatus may be divided into the functional modules or the functional units according to the above method examples, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module may be implemented in a form of hardware, or may be implemented in a form of a software functional module or a functional unit. The division of the modules or units in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

In the case of dividing each function module corresponding to each function, fig. 7 shows a schematic structural diagram of a device evaluation apparatus, which may be the device evaluation apparatus 12 or a chip of the device evaluation apparatus 12, and which may be used to execute the function of the device evaluation apparatus in the above embodiment. The device evaluation apparatus shown in fig. 7 may include: an acquisition unit 701 and a determination unit 702.

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

a determining unit 702, configured to determine, for the 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 element in the membership degree matrix is the membership degree of the sub-parameter included by the parameter to the evaluation index; the membership degree 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; elements in the weight matrix indicate the weight of the sub-parameters in the parameters, and the degree of the element characterization parameters in the evaluation matrix approaching the evaluation index is judged;

the determining unit 702 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 multiple target performance identifiers corresponding to multiple parameters one to one;

the determining unit 702 is further configured to determine the stability type of the device to be evaluated according to the multiple target performance identifiers.

In one possible design, the determining unit 702 is specifically configured to: aiming at a first sub-parameter in the first parameter, determining the membership degree of the first sub-parameter to each evaluation index in a preset evaluation index set to obtain the membership degree of a plurality of sub-parameters included in the first parameter to each evaluation index in the preset evaluation index set, wherein the first sub-parameter is any one sub-parameter in the first parameter; and combining the membership degrees of each evaluation index in a 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 one possible design, the determining unit 702 is further specifically configured to: for the first evaluation index, judging whether a second evaluation index and a third evaluation index exist at the same time, or only the second evaluation index exists, or only the third evaluation index exists, and obtaining a 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; 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 further configured to: and 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 less than or equal to the second evaluation index or the first parameter is greater 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.

In one possible design, the determining unit 702 is further specifically configured to: 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.

In one possible design, the determining unit 702 is further specifically configured to: 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, if the first sub-parameter is less 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 greater 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.

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

In a possible design, the multiple parameters include at least two of basic attributes, state attributes and performance attributes of the device to be evaluated, sub-parameters included in the basic attributes include one or more of a class of the device to be evaluated and a value area type of the device to be evaluated, sub-parameters included in the state attributes include one or more of a flash break, a zero traffic hang-up, a ring break, a cell fallback and traffic volume of the device to be evaluated, and sub-parameters included in the performance attributes include one or more of a device loss of the device to be evaluated, a maintenance degree of the device to be evaluated, a network emergency response degree, a power utilization efficiency, an access performance, a maintenance performance and a mobility performance of the device to be evaluated.

The embodiment of the application also provides a computer readable storage medium. All or part of the processes in the above method embodiments may be performed by a computer program instructing related hardware, where the program may be stored in the above computer-readable storage medium, and when executed, the program may include the processes in the above method embodiments. The computer readable storage medium may be an internal storage unit of the device evaluation apparatus (including the data sending 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 also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Memory Card (SMC), a Secure Digital (SD) card, a flash memory card (flash card), and the like, which are provided on the terminal device. Further, the computer-readable storage medium may include both an internal storage unit and an external storage device of the 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, claims, and drawings of the present application are used for distinguishing different objects, and are not used for describing a specific order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively 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" means one or more, "a plurality" means two or more, "at least two" means two or three and more, "and/or" for describing the association relationship of the associated objects, indicating that there may be three relationships, for example, "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. 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 and c may be single or plural.

Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical functional division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another device, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

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

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributed to by the prior art, or all or part of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk or an optical disk, and various media capable of storing program codes.

The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for device evaluation, the method comprising:

acquiring a parameter value of a sub-parameter included in each of a plurality of parameters of equipment to be evaluated, wherein the plurality of parameters represent different attribute types;

aiming at a first parameter, determining a membership matrix of the first parameter to a preset evaluation index set; 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 degree matrix are the membership degrees of sub-parameters included in the parameters to the evaluation indexes; the membership degree 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; elements in the weight matrix indicate the weight of the sub-parameters in the parameters, and the elements in the evaluation matrix represent the degree of the parameters approaching the evaluation indexes;

determining a target element with a maximum 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 to one;

and determining the stability type of the equipment to be evaluated according to the target performance identifications.

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

for a first sub-parameter in the first parameter, determining the membership degree of the first sub-parameter to each evaluation index in the evaluation index set to obtain a membership degree set of a plurality of sub-parameters included in the first parameter to each evaluation index in the evaluation index set, where the first sub-parameter is any one of the first parameters;

and combining the membership degree set of each evaluation index in the evaluation index set by using 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 degree of membership of the first sub-parameter to each evaluation index in the set of evaluation indices comprises:

for the first evaluation index, judging whether a second evaluation index and a third evaluation index exist at the same time, or only the second evaluation index exists, or only the third evaluation index exists, and obtaining a 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;

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.

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

if the determination result indicates that the second evaluation index and the third evaluation index exist at the same time, 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 less than or equal to the second evaluation index or the first parameter is greater 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 according to claim 3, wherein the determining the degree of membership of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the determination result comprises:

if the determination 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 less 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 greater 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 according to claim 3, wherein the determining the degree of membership of the first sub-parameter to the first evaluation index according to the first sub-parameter, the first evaluation index and the determination result comprises:

if the judgment 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, if the first sub-parameter is less 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 greater 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 identification.

8. The method according to any one of claims 1 to 7, wherein the plurality of parameters include at least two of basic attributes, status attributes and performance attributes of the device to be evaluated, the basic attributes include sub-parameters including one or more of a class of the device to be evaluated and a value area type of the device to be evaluated, the status attributes include sub-parameters including one or more of a flash break, a zero traffic hang, a ring break, a cell fallback and a traffic volume of the device to be evaluated, and the performance attributes include sub-parameters including one or more of a device loss of the device to be evaluated, a maintenance degree of the device to be evaluated, a network emergency response degree, a power utilization degree, an access performance, a retention performance and a mobility performance.

9. The equipment evaluation device is characterized by comprising an acquisition unit and a determination unit;

the acquiring unit is used for acquiring the parameter value of a sub-parameter included in each of a plurality of parameters of the equipment to be evaluated, wherein the plurality of parameters represent different attribute types;

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 degree matrix are the membership degrees of sub-parameters included in the parameters to the evaluation indexes; the membership degree 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 the weight matrix of the first parameter; elements in the weight matrix indicate the weight of the sub-parameters in the parameters, and the elements in the evaluation matrix represent the degree of the parameters approaching the evaluation indexes;

the determining unit is further configured to determine the stability type of the device to be evaluated according to the multiple target performance identifiers.

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

for a first sub-parameter in the first parameter, determining the membership degree of the first sub-parameter to each evaluation index in the evaluation index set to obtain the membership degree of a plurality of sub-parameters included in the first parameter to each evaluation index in the evaluation index set, where the first sub-parameter is any one of the first parameters;

and combining the membership degree of each evaluation index in the evaluation index set by the 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 configured to:

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

if the determination result is that the second evaluation index and the third evaluation index exist at the same time, 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, and if the first sub-parameter is less than or equal to the second evaluation index or the first parameter is greater 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.

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

if the judgment 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, if the first sub-parameter is less 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 greater 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.

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

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

16. The apparatus according to any one 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 to be evaluated, the basic attribute includes sub-parameters including one or more of a class of the device to be evaluated and a value area type of the device to be evaluated, the status attribute includes sub-parameters including one or more of a flash break, a zero traffic hang, a ring break, a cell fallback, and a traffic volume of the device to be evaluated, and the performance attribute includes sub-parameters including 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, a power utilization level, an access performance, a retention performance, and a mobility performance.

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

18. An equipment evaluation apparatus, 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 used to store one or more programs, the one or more programs including computer-executable instructions, which when executed by the device evaluation apparatus, are executed by the processor to cause the device evaluation apparatus to perform the method of any of claims 1-8.