CN115396920A - Equipment evaluation method and device and readable storage medium - Google Patents

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, device and readable storage medium

technical field

The embodiments of the present application relate to the field of communication technologies, and in particular, to an equipment evaluation method, device, and readable storage medium.

Background technique

With the development of the fifth-generation mobile communication (5-generation, 5G) technology, the number of 5G users and business volume is increasing day by day, and the network environment is becoming more and more complex. Reasonable stability assessment of base stations has become an important means for stable network operation.

However, when evaluating the stability of base stations, most of them are analyzed based on key performance indicators (key performance indicator, KPI). Since the scores of KPI indicators are evaluated manually, they rely too much on the evaluation experience of the evaluators themselves. Reduced accuracy of stability assessment for base stations. Therefore, how to evaluate the accuracy of the stability of the base station is an urgent technical problem to be solved.

Contents of the invention

The present application provides an equipment evaluation method, device and readable storage medium for flexibly scheduling frequency band resources.

In order to achieve the above object, the application adopts the following technical solutions:

In the first aspect, a device evaluation method is provided, including: obtaining the parameter value of a sub-parameter included in each parameter of a plurality of parameters of the device to be evaluated, where the plurality of parameters represent different attribute types; for the first parameter, determining The membership matrix of the first parameter to the preset evaluation index set; the first parameter is any one of multiple parameters, and the evaluation index set includes multiple evaluation indexes; the elements in the membership matrix are the sub-parameter pairs included in the parameters The degree of membership of the evaluation index; the degree of membership is used to indicate the closeness between the parameter value of the sub-parameter and the evaluation value of the evaluation index; according to the degree of membership matrix of the first parameter and the weight matrix of the first parameter, the evaluation matrix of the first parameter is determined; The 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 to which the parameters are close to the evaluation indicators; determine the target element with the largest value from the evaluation matrix of the first parameter, and evaluate according to the target element corresponding to the target element The index is to determine the target performance identification corresponding to the first parameter, and obtain multiple target performance identifications corresponding to the multiple parameters one by one; and determine the stability type of the equipment to be evaluated according to the multiple target performance identifications.

In this way, the device evaluation device can more truly reflect the operating state of the device to be evaluated by obtaining multiple parameters of the device to be evaluated and obtaining a judgment matrix of the first parameter. However, since the target element with the largest value in the evaluation matrix of the first parameter indicates that the evaluation index corresponding to the device to be evaluated is the closest to the target element, there is no need for evaluators to score the device to be evaluated based on their own experience, which can improve the evaluation of the device. Accuracy of Stability Assessment.

Optionally, determining the membership degree matrix of the first parameter to the preset evaluation index set includes: for the 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 set of each evaluation index in the evaluation index set of multiple sub-parameters included in the first parameter, the first sub-parameter is any sub-parameter in the first parameter; the multiple sub-parameters included in the first parameter The membership degree sets of each evaluation index in the evaluation index set are combined to obtain the membership degree matrix of the first parameter.

In this way, the device evaluation device can determine the degree of membership of each evaluation index in the evaluation index set of multiple sub-parameters included in each parameter, and obtain a 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: for the first evaluation index, judging whether the second evaluation index and the third evaluation index exist at the same time, or only the second evaluation index exists Index, or only the third evaluation index exists, and the judgment result is obtained; the first evaluation index is any one in the evaluation index set, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is greater than the first evaluation index; according to the first The sub-parameters, the first evaluation index and the judgment result determine the degree of membership of the first sub-parameter to the first evaluation index.

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

Optionally, according to the first sub-parameter, the first evaluation index and the judgment result, determining the degree of membership of the first sub-parameter to the first evaluation index includes: when the judgment result is that the second evaluation index and the third evaluation index exist at the same time In this case, if the first sub-parameter is located between the second evaluation index and the first evaluation index, then according to the first evaluation index, the second evaluation index and the first sub-parameter, determine the membership of the first sub-parameter to the first evaluation index degree, and, if the first sub-parameter is between the first evaluation index and the third evaluation index, then according to the first evaluation index, the third evaluation index and the first sub-parameter, determine the first sub-parameter to the first evaluation index membership degree, 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, then determine that the membership degree of the first sub-parameter for the first evaluation index is 0.

In this way, the device evaluation device can determine the degree of membership of different sub-parameters for each evaluation index when the second evaluation index and the third evaluation index exist at the same time.

Optionally, according to the first sub-parameter, the first evaluation index and the judgment result, determining the degree of membership of the first sub-parameter to the first evaluation index includes: when the judgment result is that only the second evaluation index exists, if the second A sub-parameter is located between the second evaluation index and the first evaluation index, then according to the first evaluation index, the second evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and, if If the first sub-parameter is less than or equal to the second evaluation index, it is determined that the membership degree of the first sub-parameter for the first evaluation index is 0, and if the first sub-parameter is greater than or equal to the first evaluation index, then the first sub-parameter is determined The degree of membership for the first evaluation index is 1.

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

Optionally, according to the first sub-parameter, the first evaluation index and the judgment result, determining the degree of membership of the first sub-parameter to the first evaluation index includes: when the judgment result is that only the third evaluation index exists, if the second A sub-parameter is located between the first evaluation index and the third evaluation index, then according to the first evaluation index, the third evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and, if If the first sub-parameter is less than or equal to the first evaluation index, it is determined 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, then the first sub-parameter is determined The degree of membership for the first evaluation index is 0.

In this way, the device evaluation device can determine the degree of membership of different sub-parameters for each evaluation index when 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: querying the target performance identifier corresponding to the first parameter from a preset mapping relationship according to the target evaluation index; It is used to indicate the correspondence between the evaluation index and the performance identification.

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

Optionally, the multiple parameters include at least two of the basic attributes, status attributes, and performance attributes of the equipment to be evaluated, and the sub-parameters included in the basic attributes include one of the level of the equipment to be evaluated and the value area type of the equipment to be evaluated or more, the sub-parameters included in the status attribute include one or more of the intermittent disconnection and long-term disconnection of the device to be evaluated, zero service hanging, ring disconnection, cell out of service, and traffic volume, and the sub-parameters included in the performance attribute are to be evaluated. One or more of the equipment loss of the evaluation equipment, the maintenance degree of the equipment to be evaluated, the emergency response degree of the network emergency, the power consumption efficiency, the access performance, the maintenance performance, and the mobility performance.

Through the multiple parameters of the above-mentioned equipment to be evaluated, the operating status of the equipment to be evaluated can be more accurately reflected. In order to improve the accuracy of the stability evaluation of the equipment to be evaluated

In a second aspect, an apparatus for evaluating equipment is provided, and the apparatus includes an acquisition unit and a determination unit;

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

The determination unit is used to determine the membership degree matrix of the first parameter to the evaluation index set for the first parameter; the first parameter is any one of multiple parameters, and the evaluation index set includes a plurality of evaluation indexes; the elements in the membership degree matrix is the membership degree of the sub-parameters included in the parameter to the evaluation index; the membership degree is used to indicate the closeness between the parameter value of the sub-parameter and the evaluation value of the evaluation index;

The determination unit is also used to determine the evaluation matrix of the first parameter according to the membership degree matrix of the first parameter and the weight matrix of the first parameter; the elements in the weight matrix indicate the weight of the sub-parameter in the parameter, and the elements in the evaluation matrix represent The degree to which the parameters are close to the evaluation index;

The determination unit is also used to determine the target element with the largest value from the evaluation matrix of the first parameter, and determine the target performance identification corresponding to the first parameter according to the target evaluation index corresponding to the target element, and obtain a one-to-one correspondence with multiple parameters Multiple target performance identifiers for ;

The determination unit is further configured to determine the stability type of the equipment to be evaluated according to multiple target performance identifications.

Optionally, the determining unit is specifically configured to: for the first sub-parameter in the first parameter, determine the degree of membership of the first sub-parameter to each evaluation index in the evaluation index set, and obtain a plurality of sub-parameters included in the first parameter For the membership degree set of each evaluation index in the evaluation index set, the first sub-parameter is any sub-parameter in the first parameter; Degrees are combined to obtain the membership degree matrix of the first parameter.

Optionally, the determining unit is further specifically used for: for the first evaluation index, judging whether the second evaluation index and the third evaluation index exist at the same time, or only the second evaluation index exists, or only the third evaluation index exists, and the determination is made Result; the first evaluation index is any one in the evaluation index set, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is greater than the first evaluation index; according to the first sub-parameter, the first evaluation index and the judgment result, determine The degree of membership of the first sub-parameter to the first evaluation index.

Optionally, the determining unit is specifically further configured to: when the judgment 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, then According to the first evaluation index, the second evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is located between the first evaluation index and the third evaluation index, Then according to the first evaluation index, the third evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is less than or equal to the second evaluation index, or the first If the parameter is greater than or equal to the third evaluation index, it is determined that the degree of membership of the first sub-parameter to the first evaluation index is 0.

Optionally, the determining unit is further specifically configured to: in the case that only the second evaluation index exists, if the first sub-parameter is located between the second evaluation index and the first evaluation index, then according to the first evaluation index , the second evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and, if the first sub-parameter is less than or equal to the second evaluation index, then determine the first sub-parameter’s degree of membership to the first evaluation index The membership degree of the index is 0, and if the first sub-parameter is greater than or equal to the first evaluation index, it is determined that the membership degree of the first sub-parameter for the first evaluation index is 1.

Optionally, the determination unit is specifically further configured to: in the case that only the third evaluation index exists, if the first sub-parameter is located between the first evaluation index and the third evaluation index, then according to the first evaluation index , the third evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and, if the first sub-parameter is less than or equal to the first evaluation index, then determine the first sub-parameter’s degree of membership to the first evaluation index The membership degree of the index is 1, and if the first sub-parameter is greater than or equal to the third evaluation index, it is determined that the membership degree of the first sub-parameter for the first evaluation index is 0.

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

Optionally, the multiple parameters include at least two of the basic attributes, status attributes, and performance attributes of the equipment to be evaluated, and the sub-parameters included in the basic attributes include one of the level of the equipment to be evaluated and the value area type of the equipment to be evaluated or more, the sub-parameters included in the status attribute include one or more of the intermittent disconnection and long-term disconnection of the device to be evaluated, zero service hanging, ring disconnection, cell out of service, and traffic volume, and the sub-parameters included in the performance attribute are to be evaluated. One or more of the equipment loss of the evaluation equipment, the maintenance degree of the equipment to be evaluated, the emergency response degree of the network emergency, the power consumption efficiency, the access performance, the maintenance performance, and the mobility performance.

In a third aspect, a device evaluation device is provided, and the device evaluation device may be a device evaluation device or a chip or a system on a chip in the device evaluation device. The device evaluation device can realize the above aspects or the functions performed by the device evaluation device in each possible design, and the function can be realized by hardware, such as: in a possible design, the device evaluation device can include: a processor and a communication interface The processor may be used to support the device evaluation apparatus to implement the functions involved in the first aspect or any possible design 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 device may further include a memory, and the memory is used to store necessary computer-executed instructions and data of the device evaluation device. When the device evaluation device is running, the processor executes the computer-executable instructions stored in the memory, so that the device evaluation device executes the first aspect or any possible device evaluation method of the first aspect.

In a fourth aspect, a computer-readable storage medium is provided, the computer-readable storage medium may be a readable non-volatile storage medium, the computer-readable storage medium stores computer instructions or programs, and when it is stored on a computer During operation, the computer can execute the above first aspect or any possible device evaluation method of the above aspects.

In a fifth aspect, there is provided a computer program product containing instructions, which, when run on a computer, enables the computer to execute the device evaluation method of the above first aspect or any possible design of the above aspect.

According to the sixth aspect, there is provided a device evaluation device, which may be a device evaluation device or a chip or a system-on-chip in the device evaluation device, and the device evaluation device includes one or more processors and one or more memories . One or more memories are coupled to the one or more processors, the one or more memories are used to store computer program code, the computer program code includes computer instructions, when the one or more processors execute the computer instructions, cause the device evaluation device to perform An equipment evaluation method according to the above first aspect or any possible design of the first aspect.

In the seventh aspect, a chip system is provided, the chip system includes a processor and a communication interface, and the chip system can be used to realize the functions performed by the equipment evaluation device in the above-mentioned first aspect or any possible design of the first aspect , in a possible design, the chip system further includes a memory, and the memory is used for storing program instructions and/or data. The system-on-a-chip may consist of chips, or include chips and other discrete devices, without limitation.

Description of drawings

FIG. 1 is a schematic diagram of a network architecture provided by an embodiment of the present application;

FIG. 2 is a schematic structural diagram of an equipment evaluation device provided in an embodiment of the present application;

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

FIG. 4 is a schematic flowchart of a device evaluation method provided in an embodiment of the present application;

Fig. 5 is a schematic diagram of equipment of different stability types provided by the embodiment of the present application;

FIG. 6 is a schematic flowchart of another device evaluation method provided in the embodiment of the present application;

FIG. 7 is a schematic structural diagram of an equipment evaluation device provided in an embodiment of the present application.

Detailed ways

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

It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with aspects of the embodiments of the present application as recited in the appended claims.

It should also be understood that the term "comprising" indicates the presence of described features, integers, steps, operations, elements and/or components, but does not exclude one or more other features, integers, steps, operations, elements and/or The presence or addition of components.

With the development of 5G technology, the number of 5G users and business volume is increasing day by day, and the network environment is becoming more and more complex. Reasonable stability assessment of base stations has become an important means for stable network operation. However, when evaluating the stability of base stations, most of them are analyzed based on the key performance indicators KPI indicators. Since the KPI index scores are evaluated manually, it relies too much on the evaluation experience of the evaluators themselves, which reduces the stability of the base station. Accuracy of Stability Assessment.

In view of this, an embodiment of the present application provides a device evaluation method, including: obtaining the parameter value of the sub-parameter included in each parameter of the multiple parameters of the device to be evaluated, the multiple parameters represent different attribute types; for the first parameter , to determine the membership matrix of the first parameter to the preset evaluation index set; the first parameter is any one of multiple parameters, and the evaluation index set includes multiple evaluation indexes; the elements in the membership matrix are the sub- The membership degree of the parameter to the evaluation index; the membership degree is used to indicate the closeness between the parameter value of the sub-parameter and the evaluation value of the evaluation index; according to the membership degree matrix of the first parameter and the weight matrix of the first parameter, determine the evaluation of the first parameter Matrix; the elements in the weight matrix indicate the weight of the sub-parameter in the parameter, and the elements in the evaluation matrix represent the degree to which the parameter is close to the evaluation index; determine the target element with the largest value from the evaluation matrix of the first parameter, and according to the corresponding value of the target element The target evaluation index determines the target performance identification corresponding to the first parameter, and obtains a plurality of target performance identifications corresponding to the multiple parameters one by one; and determines the stability type of the equipment to be evaluated according to the multiple target performance identifications.

The method provided by the embodiment of the present application will be described in detail below in conjunction with the drawings in the description.

It should be noted that the network system described in the embodiment of the present application is to illustrate the technical solutions of the embodiments of the present application more clearly, and does not constitute a limitation to the technical solutions provided in the embodiments of the present application. With the evolution of network systems and the emergence of other network systems, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

FIG. 1 shows a schematic diagram of a network architecture provided by 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 device 12 . The device to be evaluated 11 can be connected with the evaluation device 12 through wireless resources, and perform data transmission.

Wherein, the device 11 to be evaluated involved in the embodiment of the present application may be: an evolved base station (evolvednodeB, eNB), a home base station, or an access point (accesspoint, 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 and reception point (transmission and reception point, TRP), etc. In the embodiment of the present application, the specific technology and specific equipment form adopted by the equipment 11 to be evaluated are not limited.

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

It should be noted that FIG. 1 is only an exemplary frame diagram, and the names of the devices included in FIG. 1 are not limited, and in addition to the functional nodes shown in FIG. 1, other nodes may also be included, and this embodiment of the present application does not To limit.

FIG. 2 shows a schematic structural diagram of an equipment evaluation device provided by an embodiment of the present application. As shown in Figure 2, the device evaluation device may include an analysis system establishment module, a data collection 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 shown in FIG. 2 , which will not be described in detail.

Among them, the analysis system building module can be used to determine the impact factors that affect the equipment to be evaluated. For example, the influencing factors affecting the equipment to be evaluated may include: basic attributes, status attributes, and performance attributes of the equipment to be evaluated.

The data collection module can be used to collect relevant parameters such as basic attributes, status attributes, and performance attributes of the equipment to be evaluated. The data processing module can be used to perform preset processing on the data collected by the data collection module, for details, refer to the description of the following embodiments. The comprehensive evaluation module can be used to evaluate 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 to store the processing process and processing results of the above modules. The visual presentation module can be used to display functions that can be browsed, selected and operated by the user through the display device.

During specific implementation, 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 of the composition of an equipment evaluation apparatus 300 provided in an embodiment of the present application. The equipment evaluation apparatus 300 includes a processor 301 , a communication interface 302 and a communication line 303 .

Further, the device evaluation apparatus 300 may also include a memory 304 . Wherein, the processor 301 , the memory 304 and the communication interface 302 may be connected through a communication line 303 .

Wherein, 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 of them. The processor 301 may also be other devices with processing functions, such as circuits, devices or software modules, which are not limited.

The communication interface 302 is used 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 realizing communication.

The communication line 303 is used to transmit information between the various components included in the device evaluation apparatus 300 .

The memory 304 is used for storing instructions. Wherein, the instruction may be a computer program.

Wherein, the memory 304 may be a read-only memory (read-only memory, ROM) or other types of static storage devices capable of storing static information and/or instructions, or may be a random access memory (random access memory, RAM) or capable of storing Other types of dynamic storage devices for information and/or instructions can also be electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) ) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disc storage media or other magnetic storage devices, etc., without limitation.

It should be noted that the memory 304 may exist independently of the processor 301 or may be integrated with the processor 301 . The memory 304 can be used to store instructions or program codes or some data and so on. The memory 304 may be located in the equipment evaluation apparatus 300 or outside the equipment evaluation apparatus 300, without limitation. The processor 301 is configured to execute instructions stored in the memory 304, so as to implement the device evaluation method provided in the following embodiments of the present application.

In an example, the processor 301 may include one or more CPUs, for example, CPU0 and CPU1 in FIG. 3 .

As an optional implementation manner, the device evaluation apparatus 300 includes multiple processors, for example, may further include a processor 305 in addition to the processor 301 in FIG. 3 .

It should be pointed out that the composition structure shown in FIG. 3 does not constitute a limitation to each device in FIG. 1 . Except for the components shown in FIG. 3 , each device in FIG. 1 may include more or Fewer parts, or combining certain parts, or different parts arrangements.

In the embodiment of the present application, the system-on-a-chip may be composed of chips, or may include chips and other discrete devices.

In addition, actions, terms, etc. involved in various embodiments of the present application may refer to each other without limitation. In the embodiment of the present application, the names of messages exchanged between various devices or the names of parameters in messages are just examples, and other names may also be used in specific implementations, which are not limited.

In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish the same or similar items with basically the same function and effect. Those skilled in the art can understand that words such as "first" and "second" do not limit the number and execution order, and words such as "first" and "second" do not necessarily limit the difference.

It should be noted that, in this application, words such as "exemplary" or "for example" are used as examples, illustrations or illustrations. Any embodiment or design described herein as "exemplary" or "for example" is not to 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 manner.

In this application, "at least one" means one or more, and "multiple" means two or more. "And/or" describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural. The character "/" generally indicates that the contextual objects are an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one item (piece) of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple .

The following describes the device evaluation method provided by the embodiment of the present application with reference to the network architecture shown in FIG. 4 .

FIG. 4 provides an equipment evaluation method for the embodiment of the present application, which is applied to an equipment evaluation device. The equipment evaluation device may be the equipment evaluation device 12 in FIG. 1, or may be a device in the equipment evaluation device 12, such as a chip, etc , but also device evaluation means. As shown in Figure 4, the method includes the following S401-S405:

S401. The apparatus for evaluating equipment obtains parameter values of sub-parameters included in each parameter among multiple parameters of the equipment to be evaluated.

Wherein, the device to be evaluated may be the device to be evaluated 11 in FIG. 1 , and may also be a device in the device to be evaluated 11, such as a chip. Multiple parameters characterize different property types. For example, attribute types corresponding to multiple parameters may include basic attributes, state attributes, and performance attributes.

In an example, as shown in Table 1, the sub-parameters included in the basic attributes may include the level of the device to be evaluated, and the value area type of the device to be evaluated. The sub-parameters included in the status attribute include intermittent disconnection and long disconnection of the device to be evaluated, zero service hanging, ring disconnection, cell out of service, and traffic volume. The sub-parameters included in the performance attribute include the equipment loss of the equipment to be evaluated, the maintenance degree of the equipment to be evaluated, the degree of emergency response to network emergencies, power efficiency, access performance, maintenance performance, and mobility performance.

Table 1 Schematic diagram of multiple parameters of the equipment to be evaluated

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

As a possible implementation, the device evaluation device can communicate with the network management platform or network optimization platform of the device to be evaluated. Furthermore, the device evaluation device can obtain the parameter values of the sub-parameters included in the status attribute of the device to be evaluated through the network optimization platform, and obtain the value of the sub-parameters included in the performance attribute of the device to be evaluated through the network management platform or network optimization platform of the device to be evaluated. parameter value. The device to be evaluated can also periodically report its own performance attributes to the device evaluation device, and accordingly, the device evaluation device can receive the performance attributes 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. The positive index means that the greater the parameter value of the sub-parameter, the better the stability of the device to be evaluated. The negative index means that the larger the parameter value of the sub-parameter, the worse the stability of the device to be evaluated.

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 multiple sub-parameters. For example, the device to be evaluated can delete duplicate content parameters through the duplicate content filtering model, and can also increase the filling rate of sub-parameters by increasing the collection range of parameters.

S402. Regarding the first parameter, the device evaluation device determines a membership degree matrix of the first parameter to a preset evaluation index set.

Among them, the first parameter is any one of multiple parameters, and the set of evaluation indicators includes multiple evaluation indicators; the elements in the membership degree matrix are the membership degrees of the sub-parameters included in the parameters to the evaluation indicators; the membership degree is used to represent the sub-parameters The closeness of the parameter value and the evaluation value of the evaluation index.

In one example, as shown in Table 2, the multiple evaluation indicators included in the evaluation index set (also referred to as V) can be respectively excellent (also referred to as V1), good (also referred to as V2) , poor (also known as V3), very poor (also known as V4). Multiple evaluation indicators may also be provided with corresponding evaluation values. For example, excellent corresponds to an evaluation value of 0.05, good corresponds to an evaluation value of 0.15, poor corresponds to an evaluation value of 0.25, and very poor corresponds to an evaluation value of 0.5.

Table 2 Evaluation index set

Evaluation index excellent good poor very poor Evaluation value 0.05 0.15 0.25 0.50

It should be noted that the data in Table 2 are only 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 as other content, which is not limited.

As a possible implementation, the device evaluation device can calculate the degree of membership of each sub-parameter included in the first parameter to each evaluation index, and assign each evaluation index to each sub-parameter included in the calculated first parameter The membership degree of the first parameter is determined to determine the membership degree matrix of the preset evaluation index set.

It should be noted that in this possible implementation manner, the specific description of the degree of membership of each sub-parameter included in the first parameter to each evaluation index will be described in the following part, and the present application will not repeat it here.

S403. The device evaluating device determines a judgment matrix of the first parameter according to the membership degree matrix of the first parameter and the weight matrix of the first parameter.

Wherein, the weight matrix and the evaluation matrix include 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 evaluation matrix represent the degree to which the parameters are close to the evaluation indicators.

当第一参数为待评估设备的状态属性时，第一参数的权重矩阵可以为

当第一参数为待评估设备的性能属性时，第一参数的权重矩阵可以为

Wherein, the weight of the sub-parameters in the parameters can be set as required. For example, when the first parameter is the basic attribute of the equipment to be evaluated, the weight matrix of the first parameter can be

When the first parameter is the status attribute of the equipment to be evaluated, the weight matrix of the first parameter can be

When the first parameter is the performance attribute of the equipment to be evaluated, the weight matrix of the first parameter can be

As a possible implementation, after obtaining the membership degree matrix of the first parameter and the weight matrix of the first parameter, the device evaluation device can multiply the weight matrix of the first parameter and the membership degree matrix of the first parameter, and the The product of the weight matrix of a parameter and the membership degree matrix of the first parameter is the evaluation matrix of the first parameter.

第一参数的隶属度矩阵为

的情况下，设备评估装置可以确定第一参数的评判矩阵B为：For example, the weight matrix in the first parameter is

The membership degree matrix of the first parameter is

In the case of , the equipment evaluation device can determine the judgment matrix B of the first parameter as:

S404. The device evaluation device determines the target element with the largest value from the evaluation matrix of the first parameter, and determines the target performance identifier corresponding to the first parameter according to the target evaluation index corresponding to the target element, and obtains a one-to-one correspondence with multiple parameters Multiple target performance identifiers.

Wherein, the target performance identifier may represent the stability level of the device to be evaluated. For example, target performance designations may include "high" and "low."

As a possible implementation, the device evaluation device is provided with a comparator, and the comparator can compare the values of multiple elements in the evaluation matrix one by one, and then determine the target element with the largest value in the evaluation matrix of the first parameter .

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

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

It should be noted that 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 in this possible implementation manner will be described in the following part, and the present application will not repeat it here.

S405. The device evaluating device determines the stability type of the device to be evaluated according to the multiple target performance identifiers.

Among them, the stability types of the equipment 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 a possible implementation manner, after acquiring multiple target performance identifiers of the equipment to be evaluated, the apparatus for evaluating the equipment may determine the stability type of the equipment to be evaluated according to a preset relationship between the target performance identifiers and the stability types.

In an example, in the case that 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 between target performance identification and stability type

basic attributes state attribute performance attribute type of stability high high high Stable operation of equipment high Low Low High priority maintenance equipment high Low high Equipment to be checked high high Low Equipment to be maintained periodically Low Low Low maintenance development equipment Low Low high Equipment to be checked Low high Low Equipment needs periodic maintenance Low high high Need to develop equipment

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

Further, after determining the stability type of the equipment to be evaluated, different operation and maintenance strategies may be determined for different stability types of equipment. For example, as shown in Figure 5, different operation and maintenance strategies for devices of different stability types may include:

1. Stable operation of equipment: mainly to ensure the stability of such equipment and maintain various indicators.

2. High-priority maintenance equipment: High-priority maintenance equipment has a higher level and value, and the impact caused by insufficient stability is greater. Therefore, key guarantees are required. Once a problem occurs, it must be dealt with with high priority.

3. Equipment to be checked: The equipment to be checked has high value and stable performance, but there will be occasional status problems, and it is necessary to actively troubleshoot and perform targeted optimization.

4. Equipment to be maintained periodically: The value of the equipment to be maintained periodically is high and the state is stable. However, there are occasional problems with the performance attributes that are periodically collected and reported. Troubleshooting should be performed as soon as possible, and periodic maintenance should be performed in recent years.

5. Maintenance and development equipment: The value of maintenance and development equipment is low, and the status and performance are unstable. The status and performance indicators need to be maintained, and the value of the equipment needs to be improved.

6. Equipment needs to be checked: the performance is stable, and it needs to be checked for occasional status problems.

7. Equipment needs to be maintained periodically: the state is stable, but there are occasional problems with the performance attributes periodically collected and reported, and troubleshooting and periodic maintenance are required;

8. Need to develop equipment: the value is relatively low, the state and performance are stable, and the value of the equipment needs to be increased.

Based on the technical solution provided by the embodiment of the present application, the device evaluation device can obtain the parameter value of the sub-parameters included in each parameter of the multiple parameters of the device to be evaluated; for the first parameter, determine the first parameter against the preset evaluation index The membership degree matrix of the set; according to the membership degree matrix of the first parameter and the weight matrix of the first parameter, determine the evaluation matrix of the first parameter; determine the target element with the largest value from the evaluation matrix of the first parameter, and correspond to the target element Determine the target performance identification corresponding to the first parameter, and obtain multiple target performance identifications corresponding to the multiple parameters; according to the multiple target performance identifications, determine the stability type of the equipment to be evaluated. In this way, the device evaluation device can more truly reflect the operating state of the device to be evaluated by obtaining multiple parameters of the device to be evaluated and obtaining a judgment matrix of the first parameter. However, since the target element with the largest value in the evaluation matrix of the first parameter indicates that the evaluation index corresponding to the target element is the most suitable for the device to be evaluated, it is not necessary for evaluators to score the device to be evaluated based on their own experience, which can improve the evaluation of the device. The accuracy with which stability assessments were performed.

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

S601. For the first sub-parameters in the first parameters, the device evaluation device determines the degree of membership of the first sub-parameters to each evaluation index in the preset evaluation index set, and obtains a plurality of sub-parameters included in the first parameter to the preset The membership degree set of each evaluation index in the evaluation index set of .

As a possible implementation, for the first evaluation index, the equipment evaluation device can determine whether there is a second evaluation index and a third evaluation index, or only the second evaluation index exists, or only the third evaluation index exists. result. Then, according to the first sub-parameter, the first evaluation index and the judgment result, the degree of membership of the first sub-parameter to the first evaluation index is determined.

It should be noted that the first evaluation index is any one in the evaluation index set, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is greater than the first evaluation index.

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

For another example, in the case where the evaluation index set is shown in the above table 2, the first evaluation index can be poor (evaluation value 0.25), the second evaluation index can be good (evaluation value 0.15), and the third evaluation index can be Very poor (rating 0.5).

The different judgment results are described below.

Case 1: For the first evaluation index, the judgment 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, the degree of membership of the first sub-parameter to the first evaluation index is determined 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, the degree of membership of the first sub-parameter to the first evaluation index is determined 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 second evaluation index, or the first parameter is greater than or equal to the third evaluation index, it is determined that the degree of membership of the first sub-parameter to the first evaluation index is 0.

For example, the device 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 represents the parameter value of the first sub-parameter. V1 represents the second evaluation index, and V2 represents the first evaluation index. V3 represents the third evaluation index.

Taking the first sub-parameter as network equipment loss and the parameter value corresponding to the network equipment loss as 0.07 as an example, the process of determining the degree of membership of the first sub-parameter to the first evaluation index will be described below:

For example, 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, that is, V2<x<V3. Therefore, the membership degree of the first sub-parameter for 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 very poor (evaluation value 0.5).

Since 0.07≤0.25, that is, x≤V1. Therefore, the degree of membership of the first sub-parameter to the first evaluation index r12=0.

2. Regarding the first evaluation index, it is judged that only the second evaluation index exists.

If the first sub-parameter is located between the second evaluation index and the first evaluation index, the degree of membership of the first sub-parameter to the first evaluation index is determined 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, it is determined that the degree of membership 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, it is determined that the degree of membership of the first sub-parameter for the first evaluation index is 1.

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

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

Situation 3: For the first evaluation index, it is judged that only the third evaluation index exists.

If the first sub-parameter is located between the first evaluation index and the third evaluation index, the degree of membership of the first sub-parameter to the first evaluation index is determined 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, it is determined that the degree of membership of the first sub-parameter for the first evaluation index is 1.

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

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

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

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

Further, the device evaluation device may determine the membership degree set of each evaluation index in the preset evaluation index set for other sub-parameters in the first parameter in the same manner, which will not be described in detail here. For example, the membership degree set of each evaluation index in the preset evaluation index set of the multiple sub-parameters included in the first parameter may be as shown in Table 4.

Table 4 Membership degree of multiple sub-parameters to different evaluation indicators

It should be noted that the data in Table 4 are only exemplary. In the embodiment of the present application, the degree of membership of multiple sub-parameters to different evaluation indicators can also be set as a numerical value, which is not limited.

S602. The device evaluation device combines the 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, the apparatus for evaluating equipment may use the degree of membership of the multiple sub-parameters included in the first parameter to the same evaluation index as an element of each column in the degree of membership matrix. The degree of membership of the first sub-parameter included in the first parameter to each evaluation index in the evaluation index set is used 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 intermittent disconnection and long disconnection, zero service hang-up, ring disconnection, cell decommissioning, and service volume base station level. The equipment evaluation device can determine the membership degree matrix of the first parameter according to the above table 4, which can be

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

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

Wherein, the mapping relationship is used to indicate the corresponding relationship between the evaluation index and the performance identifier.

In an example, as shown in Table 5 below, when the evaluation indicators include excellent, good, poor, and very poor, the performance identification corresponding to excellent and good can be high, and the performance identification corresponding to poor and very poor can be Low.

Table 5 Mapping relationship table

Evaluation index excellent good poor very poor performance label high high Low Low

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

The solutions in the above embodiments of the present application can be combined under the premise of no contradiction.

The embodiment of the present application can divide the functional modules or functional units of the equipment evaluation device according to the above-mentioned 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 into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware, or in the form of software function modules or functional units. Wherein, the division of modules or units in the embodiment of the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation.

In the case of dividing each functional module corresponding to each function, FIG. 7 shows a schematic structural diagram of a device evaluation device, which may be the device evaluation device 12, or may be a chip for the device evaluation device 12, The apparatus for evaluating equipment may be used to perform the functions of the apparatus for evaluating equipment involved in the above embodiments. The device evaluation apparatus shown in FIG. 7 may include: an acquiring unit 701 and a determining unit 702 .

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

The determination unit 702 is used to determine the membership degree matrix of the first parameter to the preset evaluation index set for the first parameter; the first parameter is any one of a plurality of parameters, and the evaluation index set includes a plurality of evaluation indexes; the degree of membership The elements in the matrix are the membership degree of the sub-parameters included in the parameter to the evaluation index; the membership degree is used to indicate the closeness between the parameter value of the sub-parameter and the evaluation value of the evaluation index;

The determination unit 702 is further configured to determine the evaluation matrix of the first parameter according to the membership degree 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 The degree to which the characterization parameters are close to the evaluation indicators;

The determination unit 702 is also used to determine the target element with the largest value from the evaluation matrix of the first parameter, and determine the target performance identifier corresponding to the first parameter according to the target evaluation index corresponding to the target element, and obtain the corresponding target performance indicator corresponding to the multiple parameters. Corresponding multiple target performance identifiers;

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

In a possible design, the determination unit 702 is specifically configured to: for the first sub-parameter in the first parameter, determine the membership degree of the first sub-parameter to each evaluation index in the preset evaluation index set, and obtain the first The multiple sub-parameters included in the parameter have a degree of membership of each evaluation index in the preset evaluation index set, and the first sub-parameter is any sub-parameter in the first parameter; The membership degree of each evaluation index in the set evaluation index set is combined to obtain the membership degree matrix of the first parameter.

In a possible design, the determining unit 702 is also specifically configured to: for the first evaluation index, determine whether there are both the second evaluation index and the third evaluation index, or only the second evaluation index exists, or only the third evaluation index exists. index to obtain the judgment result; the first evaluation index is any one in the evaluation index set, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is greater than the first evaluation index; according to the first sub-parameter, the first evaluation index and As a result of judging, the degree of membership of the first sub-parameter to the first evaluation index is determined.

In a possible design, the determining unit 702 is specifically further configured to: when the judgment 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 Between, according to the first evaluation index, the second evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is between the first evaluation index and the third evaluation index Among the indicators, according to the first evaluation indicator, the third evaluation indicator and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation indicator, and if the first sub-parameter is less than or equal to the second evaluation indicator, Alternatively, if the first parameter is greater than or equal to the third evaluation index, it is determined that the membership degree of the first sub-parameter to the first evaluation index is 0.

In a possible design, the determining unit 702 is specifically further configured to: in the case that only the second evaluation index exists, if the first sub-parameter is located between the second evaluation index and the first evaluation index, then according to The first evaluation index, the second evaluation index, and the first sub-parameter determine the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is less than or equal to the second evaluation index, determine the first sub-parameter The degree of membership for the first evaluation index is 0, and if the first sub-parameter is greater than or equal to the first evaluation index, determine the degree of membership of the first sub-parameter for the first evaluation index as 1.

In a possible design, the determination unit 702 is specifically further configured to: in the case that only the third evaluation index exists as a result of the judgment, if the first sub-parameter is located between the first evaluation index and the third evaluation index, then according to The first evaluation index, the third evaluation index, and the first sub-parameter determine the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is less than or equal to the first evaluation index, determine the first sub-parameter The degree of membership for the first evaluation index is 1, and if the first sub-parameter is greater than or equal to the third evaluation index, it is determined that the degree of membership of the first sub-parameter for the first evaluation index is 0.

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

In a possible design, the multiple parameters include at least two of the basic attributes, status attributes, and performance attributes of the equipment to be evaluated, and the sub-parameters included in the basic attributes include the level of the equipment to be evaluated, and the value area type of the equipment to be evaluated One or more of them, the sub-parameters included in the status attribute include one or more of the intermittent and long disconnection of the device to be evaluated, zero service hanging, ring disconnection, cell out of service, and traffic volume, and the performance attribute includes one or more The sub-parameters are one or more of the equipment loss of the equipment to be evaluated, the maintenance degree of the equipment to be evaluated, the degree of emergency response to network emergencies, power consumption efficiency, access performance, maintenance performance, and mobility performance.

The embodiment of the present application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be completed by computer programs to instruct related hardware, and the program can be stored in the above computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments . The computer-readable storage medium may be an internal storage unit of the equipment evaluation apparatus (including the data sending end and/or data receiving end) of any of the foregoing embodiments, such as a hard disk or a memory of the equipment evaluation apparatus. The above-mentioned computer-readable storage medium may also be an external storage device of the above-mentioned terminal device, such as a plug-in hard disk equipped on the above-mentioned terminal device, a smart memory card (smart media card, SMC), a secure digital (secure digital, SD) card, Flash card (flash card), etc. Further, the above-mentioned computer-readable storage medium may also include both an internal storage unit of the above-mentioned device evaluation apparatus and an external storage device. The above-mentioned computer-readable storage medium is used to store the above-mentioned computer program and other programs and data required by the above-mentioned device evaluation device. The computer-readable storage medium described above can also be used to temporarily store data that has been output or will be output.

It should be noted that the terms "first" and "second" in the specification, claims and drawings of the present application are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

It should be understood that in this application, "at least one (item)" means one or more, "multiple" means two or more, and "at least two (items)" means two or three And three or more, "and/or", is used to describe the association relationship of associated objects, indicating that there can be three kinds of relationships, for example, "A and/or B" can mean: only A exists, only B exists, and A exists at the same time and B, where A and B can be singular or plural. The character "/" generally indicates that the contextual objects are an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one item (piece) of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c ", where a, b, c can be single or multiple.

Through the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and brevity of the description, only the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned functions can be allocated according to needs It is completed by different functional modules, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be Incorporation or may be integrated into another device, or some features may be omitted, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

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

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the software product is stored in a storage medium Among them, several instructions are included to make a device (which may be a single-chip microcomputer, a chip, etc.) or a processor (processor) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: various media capable of storing program codes such as U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk.

The above is only a specific implementation of the application, but the protection scope of the application is not limited thereto, and any changes or replacements within the technical scope disclosed in the application should be covered within the protection scope of the application . Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims (18)

1. A device evaluation method, characterized in that the method comprises: Acquiring parameter values of sub-parameters included in each of the multiple parameters of the device to be evaluated, where the multiple parameters represent different attribute types; For the first parameter, determine the membership degree matrix of the first parameter to the preset evaluation index set; the first parameter is any one of the plurality of parameters, and the evaluation index set includes a plurality of evaluation indexes; The element in the membership degree matrix is the degree of membership of the sub-parameters included in the parameter to the evaluation index; the degree of membership is used to indicate the closeness between the parameter value of the sub-parameter and the evaluation value of the evaluation index; According to the membership degree matrix of the first parameter and the weight matrix of the first parameter, determine the evaluation matrix of the first parameter; the elements in the weight matrix indicate the weight of the sub-parameter in the parameter, the The degree to which the element representation parameters in the evaluation matrix are close to the evaluation index; Determine the target element with the largest numerical value from the evaluation matrix of the first parameter, and determine the target performance identifier corresponding to the first parameter according to the target evaluation index corresponding to the target element, and obtain the corresponding target performance of the multiple parameters. Multiple target performance identifiers with one-to-one correspondence; Determine the stability type of the device to be evaluated according to the plurality of target performance identifiers. 2. The method according to claim 1, wherein the determination of the membership degree matrix of the first parameter to the preset evaluation index set comprises: For the first sub-parameter in the first parameter, determine the membership degree of the first sub-parameter to each evaluation index in the evaluation index set, and obtain a plurality of sub-parameter pairs included in the first parameter A membership degree set of each evaluation index in the evaluation index set, and the first sub-parameter is any sub-parameter in the first parameter; Combining the plurality of sub-parameters included in the first parameter with the membership degree set of each evaluation index in the evaluation index set to obtain the membership degree matrix of the first parameter. 3. The method according to claim 2, wherein the determination of the membership degree of the first sub-parameter to each evaluation index in the evaluation index set comprises: For the first evaluation index, it is judged whether the second evaluation index and the third evaluation index exist at the same time, or only the second evaluation index exists, or only the third evaluation index exists, and the judgment result is obtained; the first evaluation index It is any one of the evaluation index set, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is greater than the first evaluation index; According to the first sub-parameter, the first evaluation index, and the judgment result, determine the degree of membership of the first sub-parameter to the first evaluation index. 4. The method according to claim 3, characterized in that, according to the first sub-parameter, the first evaluation index and the judgment result, it is determined that the first sub-parameter has a significant impact on the first evaluation. The degree of membership of the indicators, including: When the judgment 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, then According to the first evaluation index, the second evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter parameter is located between the first evaluation index and the third evaluation index, then according to the first evaluation index, the third evaluation index and the first sub-parameter, it is determined that the first sub-parameter is The degree of membership of the first evaluation index, and if the first sub-parameter is less than or equal to the second evaluation index, or if the first parameter is greater than or equal to the third evaluation index, determine the The degree of membership of the first sub-parameter to the first evaluation index is 0. 5. The method according to claim 3, characterized in that, according to the first sub-parameter, the first evaluation index and the judgment result, it is determined that the first sub-parameter has a positive impact on the first evaluation. The degree of membership of the indicators, including: 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, then according to the first evaluation index , the second evaluation index and the first sub-parameter, determining the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is less than or equal to the first sub-parameter Two evaluation indicators, then determine that the membership degree of the first sub-parameter to the first evaluation indicator is 0, and if the first sub-parameter is greater than or equal to the first evaluation indicator, determine that the The membership degree of the first sub-parameter to the first evaluation index is 1. 6. The method according to claim 3, characterized in that, according to the first sub-parameter, the first evaluation index and the judgment result, it is determined that the first sub-parameter is The degree of membership of the indicators, including: 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, then according to the first evaluation index , the third evaluation index and the first sub-parameter, determining the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is less than or equal to the first sub-parameter an evaluation index, determine 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, determine that the The degree of membership of the first sub-parameter to the first evaluation index is 0. 7. The method according to claim 1, wherein the determining the target performance identifier corresponding to the first parameter according to the target evaluation index corresponding to the target element comprises: According to the target evaluation index, query the target performance identifier corresponding to the first parameter from the preset mapping relationship; the mapping relationship is used to indicate the correspondence between the evaluation index and the performance identifier. 8. The method according to any one of claims 1-7, wherein the multiple parameters include at least two of the basic attributes, status attributes, and performance attributes of the device to be evaluated, and the basic The sub-parameters included in the attribute include one or more of the level of the device to be evaluated and the value area type of the device to be evaluated, and the sub-parameters included in the status attribute include the flashing length of the device to be evaluated One or more of disconnection, zero service hanging, ring disconnection, cell out of service, and traffic volume, the sub-parameters included in the performance attribute are the equipment loss of the equipment to be evaluated, the maintenance degree of the equipment to be evaluated, One or more of network emergency response level, power efficiency, access performance, maintenance performance, and mobility performance. 9. A device evaluation device, characterized in that the device comprises an acquisition unit and a determination unit; The acquiring unit is configured to acquire a parameter value of a sub-parameter included in each parameter of a plurality of parameters of the device to be evaluated, the plurality of parameters representing different attribute types; The determining unit is configured to, for the first parameter, determine a membership degree 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 The set includes a plurality of evaluation indicators; the elements in the membership matrix are the membership degrees of the sub-parameters included in the parameters to the evaluation indicators; the membership degrees are used to indicate the closeness between the parameter values of the sub-parameters and the evaluation values of the evaluation indicators ; The determination unit is further configured to determine the evaluation matrix of the first parameter according to the membership degree matrix of the first parameter and the weight matrix of the first parameter; the elements in the weight matrix indicate sub-parameters In the weight of the parameter, the element in the evaluation matrix represents the degree to which the parameter is close to the evaluation index; The determination unit is further configured to determine the target element with the largest value from the evaluation matrix of the first parameter, and determine the target performance indicator corresponding to the first parameter according to the target evaluation index corresponding to the target element , obtaining a plurality of target performance identifiers corresponding to the plurality of parameters; The determining unit is further configured to determine a stability type of the device to be evaluated according to the plurality of target performance indicators. 10. The device according to claim 9, wherein the determining unit is specifically configured to: For the first sub-parameter in the first parameter, determine the membership degree of the first sub-parameter to each evaluation index in the evaluation index set, and obtain a plurality of sub-parameter pairs included in the first parameter The degree of membership of each evaluation index in the evaluation index set, the first sub-parameter is any one of the first parameters; Combining the multiple sub-parameters included in the first parameter with the degree of membership of each evaluation index in the evaluation index set to obtain the degree of membership matrix of the first parameter. 11. The device according to claim 10, wherein the determining unit is further configured to: For the first evaluation index, it is judged whether the second evaluation index and the third evaluation index exist at the same time, or only the second evaluation index exists, or only the third evaluation index exists, and the judgment result is obtained; the first evaluation index It is any one of the evaluation index set, the second evaluation index is smaller than the first evaluation index, and the third evaluation index is greater than the first evaluation index; According to the first sub-parameter, the first evaluation index, and the judgment result, determine the degree of membership of the first sub-parameter to the first evaluation index. 12. The device according to claim 11, wherein the determining unit is further configured to: When the judgment 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, then According to the first evaluation index, the second evaluation index and the first sub-parameter, determine the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter parameter is located between the first evaluation index and the third evaluation index, then according to the first evaluation index, the third evaluation index and the first sub-parameter, it is determined that the first sub-parameter is The degree of membership of the first evaluation index, and if the first sub-parameter is less than or equal to the second evaluation index, or if the first parameter is greater than or equal to the third evaluation index, determine the The degree of membership of the first sub-parameter to the first evaluation index is 0. 13. The device 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, then according to the first evaluation index , the second evaluation index and the first sub-parameter, determining the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is less than or equal to the first sub-parameter Two evaluation indicators, then determine that the membership degree of the first sub-parameter to the first evaluation indicator is 0, and if the first sub-parameter is greater than or equal to the first evaluation indicator, determine that the The membership degree of the first sub-parameter to the first evaluation index is 1. 14. The device according to claim 11, wherein the determining unit is further configured to: 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, then according to the first evaluation index , the third evaluation index and the first sub-parameter, determining the degree of membership of the first sub-parameter to the first evaluation index, and if the first sub-parameter is less than or equal to the first sub-parameter an evaluation index, determine 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, determine that the The degree of membership of the first sub-parameter to the first evaluation index is 0. 15. The device according to claim 9, wherein the determining unit is further configured to: According to the target evaluation index, query the target performance identifier corresponding to the first parameter from the preset mapping relationship; the mapping relationship is used to indicate the correspondence between the evaluation index and the performance identifier. 16. The device according to any one of claims 9-15, wherein the multiple parameters include at least two of the basic attributes, status attributes, and performance attributes of the equipment to be evaluated, and the basic The sub-parameters included in the attribute include one or more of the level of the device to be evaluated and the value area type of the device to be evaluated, and the sub-parameters included in the status attribute include the flashing length of the device to be evaluated One or more of disconnection, zero service hanging, ring disconnection, cell out of service, and traffic volume, the sub-parameters included in the performance attribute are the equipment loss of the equipment to be evaluated, the maintenance degree of the equipment to be evaluated, One or more of network emergency response level, power efficiency, access performance, maintenance performance, and mobility performance. 17. A computer-readable storage medium, wherein instructions are stored in the readable storage medium, and when the instructions are executed, the method according to any one of claims 1-8 is implemented. 18. An equipment evaluation device, characterized in that it includes: 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, and the one The or multiple programs include computer-executable instructions, and when the device evaluation device is running, the processor executes the computer-executable instructions stored in the memory, so that the device evaluation device executes the method described in any one of claims 1-8.

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