Information processing method and device, electronic equipment and storage medium

Abstract

The application discloses an information processing method and device, electronic equipment and a storage medium. The information processing method comprises: obtaining infrastructure information corresponding to a target object; in response to a hierarchical operation on the infrastructure information, obtaining a plurality of hierarchical evaluation indexes corresponding to the infrastructure information; for each hierarchical evaluation index and an importance degree value corresponding to each evaluation dimension in the evaluation index, determining a judgment matrix corresponding to the evaluation index; based on the judgment matrix corresponding to each hierarchical evaluation index, determining an index corresponding to the infrastructure information of the target object; and based on the index, determining an operating condition corresponding to the infrastructure information. The information processing method provided by the application can solve the problem that there is no unified evaluation standard for the operating condition of the infrastructure of an enterprise in the prior art.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of information processing, and in particular to an information processing method and device, electronic equipment and a storage medium. BACKGROUND

[0002] With the rapid development of electronic technology, the operation of the infrastructure of each enterprise can reflect the development of the enterprise. However, at present, due to the large number of infrastructure, the various types and different scales, there is no scientific, comprehensive and operable evaluation standard for the infrastructure of the financial industry to evaluate the operation of the infrastructure of the enterprise. SUMMARY

[0003] The embodiments of the present application provide an information processing method, device, electronic equipment and storage medium to solve the problem that there is no unified evaluation standard for the operation of the infrastructure of the enterprise in the prior art.

[0004] The technical solutions of the present application are as follows:

[0005] In a first aspect, an information processing method is provided, comprising:

[0006] obtaining infrastructure information corresponding to a target object;

[0007] in response to a hierarchical operation on the infrastructure information, obtaining evaluation indexes of multiple levels corresponding to the infrastructure information; wherein each level of the evaluation index has at least one evaluation dimension, and the evaluation index of the next level is a sub-evaluation dimension of each evaluation dimension in the evaluation index of the previous level;

[0008] for each level of the evaluation index and the importance degree value corresponding to each evaluation dimension in the evaluation index, determining a judgment matrix corresponding to the evaluation index;

[0009] based on the judgment matrix corresponding to the evaluation index of each level, determining an index corresponding to the infrastructure information of the target object, wherein the index is used to represent the running condition corresponding to the infrastructure information;

[0010] based on the index, determining the running condition corresponding to the infrastructure information.

[0011] In a second aspect, an information processing device is provided, comprising:

[0012] an acquisition module configured to obtain infrastructure information corresponding to a target object;

[0013] The first determining module is configured to obtain evaluation indexes corresponding to multiple levels of the infrastructure information in response to the hierarchical operation on the infrastructure information, wherein each level of the evaluation indexes has at least one evaluation dimension, and each evaluation dimension of the evaluation indexes of a next level is a sub evaluation dimension of the evaluation dimension of the evaluation indexes of a previous level.

[0014] The second determining module is configured to determine a judgment matrix corresponding to each level of the evaluation indexes and a degree of importance corresponding to each evaluation dimension of the evaluation indexes.

[0015] The third determining module is configured to determine an index corresponding to the infrastructure information of the target object based on the judgment matrix corresponding to each level of the evaluation indexes, wherein the index is used to represent the running state of the infrastructure information.

[0016] The fourth determining module is configured to determine the running state of the infrastructure information based on the index.

[0017] In a third aspect, an electronic device is provided, which includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, and the program or instructions, when executed by the processor, implement the steps of the information processing method according to any of the embodiments of the present application.

[0018] In a fourth aspect, a readable storage medium is provided, which stores a program or instructions, and the program or instructions, when executed by a processor, implement the steps of the information processing method according to any of the embodiments of the present application.

[0019] The technical solutions provided by the embodiments of the present application at least have the following beneficial effects:

[0020] The information processing method provided by the embodiments of the present application obtains the infrastructure information corresponding to the target object, obtains evaluation indexes corresponding to multiple levels of the infrastructure information in response to the hierarchical operation on the infrastructure information, determines a judgment matrix corresponding to each level of the evaluation indexes and a degree of importance corresponding to each evaluation dimension of the evaluation indexes, determines an index corresponding to the infrastructure information of the target object based on the judgment matrix corresponding to each level of the evaluation indexes, and determines the running state of the infrastructure information based on the index. Thus, the infrastructure information is divided into multiple levels of evaluation indexes, and the index corresponding to the infrastructure information is determined according to the obtained judgment matrix corresponding to each evaluation index, the index is used to represent the running state of the infrastructure information, and the effect of determining the running state of the infrastructure information by using a unified evaluation standard, i.e., the index, is achieved.

[0021] It should be understood that the general description and the following detailed description are only exemplary and explanatory and are not restrictive of the application. BRIEF DESCRIPTION OF DRAWINGS

[0022] The accompanying drawings incorporated in and forming a part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application; it being understood, however, that this application is not limited to the specific embodiments presented.

[0023] Figure 1 is a flow diagram of an information processing method provided by an exemplary embodiment of the present application;

[0024] Figure 2 is a flow diagram of a hierarchical analysis method related to an embodiment of the present application;

[0025] Figure 3 is a structural block diagram of an information processing device provided by an exemplary embodiment of the present application;

[0026] Figure 4 is a structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order for those skilled in the art to better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings. It should be understood that the specific embodiments described herein are only intended to explain the present application, but not to limit the present application. The present application can be implemented without some of these specific details by those skilled in the art. The following description of the embodiments is merely to provide a better understanding of the present application by showing examples of the present application.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. The implementation described in the following exemplary embodiments does not represent all implementations consistent with the present application. On the contrary, they are only examples consistent with some aspects of the present application as detailed in the appended claims.

[0029] As described in the background section, there is no scientific, comprehensive and operable evaluation standard to evaluate the operation of the infrastructure of the enterprise in the prior art. In order to solve the above problems, the embodiment of the present application provides an information processing method, by obtaining infrastructure information corresponding to a target object, in response to hierarchical operation on the infrastructure information, obtaining a plurality of levels of evaluation indexes corresponding to the infrastructure information, for each level of evaluation index, and the importance degree value corresponding to each evaluation dimension in the evaluation index, determining the judgment matrix corresponding to the evaluation index; based on the judgment matrix corresponding to each level of the evaluation index, determining the index corresponding to the infrastructure information of the target object; based on the index, determining the running status corresponding to the infrastructure information, so that by dividing the infrastructure information into a plurality of levels of evaluation indexes, the index corresponding to the infrastructure information can be determined according to the obtained judgment matrix corresponding to each evaluation index, and the index is used to represent the running status of the infrastructure information, so as to realize the effect of determining the running status of the infrastructure information by a unified evaluation standard, i.e. the index.

[0030] The information processing method provided by the embodiment of the present application will be described in detail below in combination with the drawings, specific embodiments and application scenarios.

[0031] Figure 1 is a flowchart of an information processing method provided by the embodiment of the present application, as shown in Figure 1 the information processing method provided by the embodiment of the present application can include steps 110-150.

[0032] Step 110, obtaining infrastructure information corresponding to a target object.

[0033] Step 120, in response to hierarchical operation on the infrastructure information, obtaining a plurality of levels of evaluation indexes corresponding to the infrastructure information.

[0034] Each level of evaluation index can have at least one evaluation dimension, and the evaluation index of the next level can be a sub-evaluation dimension of each evaluation dimension in the evaluation index of the previous level.

[0035] Step 130, for each level of evaluation index, and the importance degree value corresponding to each evaluation dimension in the evaluation index, determining the judgment matrix corresponding to the evaluation index.

[0036] Step 140, based on the judgment matrix corresponding to each level of the evaluation index, determining the index corresponding to the infrastructure information of the target object.

[0037] The index can be used to represent the running status of the infrastructure information.

[0038] Step 150, determining the running state corresponding to the infrastructure information based on the index.

[0039] In the embodiments of the present application, by obtaining the infrastructure information corresponding to the target object, in response to the hierarchical operation on the infrastructure information, obtaining the evaluation indexes of multiple levels corresponding to the infrastructure information, for each level of evaluation index and the importance degree value corresponding to each evaluation dimension in the evaluation index, determining the judgment matrix corresponding to the evaluation index; based on the judgment matrix corresponding to each level of the evaluation index, determining the index corresponding to the infrastructure information of the target object; based on the index, determining the running state corresponding to the infrastructure information, so that by dividing the infrastructure information into multiple levels of evaluation indexes, the index corresponding to the infrastructure information can be determined according to the obtained judgment matrix corresponding to each evaluation index. The index is used to represent the running state of the infrastructure information, so as to realize the effect of determining the running state of the infrastructure information by a unified evaluation standard, that is, the index.

[0040] The information processing method provided by the embodiments of the present application will be described in detail below.

[0041] First, step 110 is introduced, that is, obtaining the infrastructure information corresponding to the target object.

[0042] Among them, the target object can be an object whose infrastructure information running situation needs to be evaluated. For example, it can be a region, such as Tianjin, and it can also be an enterprise.

[0043] In some embodiments of the present application, the infrastructure information can be the infrastructure information of the Internet Technology (IT) used by the target object, specifically, it can be the equipment used by the target object to control the transmission path, including telephone line, cable television network, network cable, artificial satellite, router, switch, reader, repeater and hub, etc. It can also include software for transmitting, receiving and managing signals, such as mailbox, chat application (such as Dingding, WeChat for Enterprise, etc.).

[0044] Then step 120 is introduced, that is, in response to the hierarchical operation on the infrastructure information, obtaining the evaluation indexes of multiple levels corresponding to the infrastructure information.

[0045] Among them, the hierarchical operation on the infrastructure information can be an operation of layering the infrastructure information. For example, the user can manually layer the obtained infrastructure information.

[0046] In some embodiments of the present application, the evaluation index can be an index for evaluating the running state of the infrastructure information.

[0047] In some embodiments of the present application, each level of evaluation index can have at least one evaluation dimension, and the evaluation index of the next level can be a sub evaluation dimension of each evaluation dimension of the evaluation index of the previous level.

[0048] The evaluation dimension can be dimension information for evaluating the running condition of the infrastructure information.

[0049] The sub evaluation dimension can be a sub evaluation dimension of the evaluation dimension.

[0050] In one example, the infrastructure information of enterprise A is obtained, which is layered, for example, can be layered into 3 levels of evaluation indexes. The first level of evaluation index can be the scale capacity, availability, security and resource utilization of the infrastructure information, where the scale capacity, availability, security and resource utilization are the evaluation dimensions in the first level of evaluation index.

[0051] Continuing to refer to the above example, the second level of evaluation index can be a sub evaluation dimension of each evaluation dimension in the first level of evaluation index. For example, for the scale capacity evaluation dimension in the first level, the sub evaluation dimensions can be site scale capacity, computing scale capacity, storage scale capacity, network scale capacity and software scale capacity. The sub evaluation dimensions of each evaluation dimension in the first level are taken as the evaluation index of the second level.

[0052] Continuing to refer to the above example, the third level of evaluation index can be a sub evaluation dimension of each evaluation dimension in the second level of evaluation index. For example, for the site scale capacity evaluation dimension in the second level, the sub evaluation dimensions can be machine room scale capacity and cabinet scale capacity. The sub evaluation dimensions of each evaluation dimension in the second level are taken as the evaluation index of the third level.

[0053] It should be noted that in the third level of evaluation index, each evaluation index of the third level is actually a specific numerical value. For example, for the two evaluation indexes of machine room scale capacity and cabinet scale capacity in the third level, they are actually the specific numerical value of machine room scale capacity and the specific numerical value of cabinet scale capacity. For example, for the two evaluation indexes of machine room scale capacity and cabinet scale capacity in the third level, they are actually the two evaluation indexes of machine room scale capacity 1000 square meters and cabinet scale capacity 2000 square meters.

[0054] In some embodiments of the present application, in the above example, when setting the evaluation indexes of each level, the evaluation indexes of the first level are set based on the series of standards such as the Information Technology Service Data Center Service Capability Maturity Model and the Information Security Technology Information System Disaster Recovery Specification, the evaluation indexes of the second level are based on the specific expansion of the evaluation indexes of the first level according to specific attributes, and the evaluation indexes of the third level are set based on the comprehensiveness of data authenticity and data availability.

[0055] It should be noted that the above example divides the infrastructure information into three levels, and the number of levels to which the infrastructure information is divided can be set by the user according to the user's needs, which is not limited here. As long as the evaluation indexes of the first level are the highest evaluation dimensions, the evaluation indexes of the lower levels are the specific refinement of the evaluation dimensions of the previous level, and the evaluation indexes of the last level are set based on the comprehensiveness of data authenticity and data availability, i.e., the evaluation indexes of the last level are specific data.

[0056] Then step 130 is introduced, that is, for each level of evaluation index and the importance degree value corresponding to each evaluation dimension in the evaluation index, a judgment matrix corresponding to the evaluation index is determined.

[0057] In some embodiments of the present application, after the evaluation indexes of each level are determined, for each level of evaluation index and the importance degree value corresponding to each evaluation dimension in the evaluation index, a judgment matrix corresponding to the evaluation index of this level can be determined.

[0058] In some embodiments of the present application, in order to accurately determine the judgment matrix corresponding to each level of evaluation index, step 130 can specifically include:

[0059] For each level of evaluation index, in response to the comparison operation of the importance degree of each evaluation dimension in the evaluation index, the importance degree value of each evaluation dimension in the evaluation index is determined.

[0060] For each level of evaluation index, based on the importance degree value, a judgment matrix corresponding to the evaluation index is determined.

[0061] The comparison operation of the importance degree of each evaluation dimension in the evaluation index can be an operation of comparing the importance degree of each evaluation dimension in the evaluation index by the user.

[0062] The importance degree value of each evaluation dimension in the evaluation index can be a numerical value corresponding to the importance degree of each evaluation dimension in the evaluation index, that is, the importance degree of each evaluation dimension in the evaluation index is represented by a numerical value.

[0063] In some embodiments of the present application, for any one of the evaluation indexes at each level, the operator (engineer or experienced prior expert, etc.) compares each evaluation dimension in the evaluation index at the level with each other, and determines which one is more important (and specifically, whether one of the two evaluation dimensions is extremely important, strongly important, or slightly important than the other one). The importance of each evaluation dimension is valued according to the importance degree valuation table shown in Table 1 below, and the importance degree value of each evaluation dimension in the evaluation index is determined in response to the operation of the operator.

[0064] Table 1 Importance degree valuation table

[0065]

[0066] In one example, taking the evaluation dimensions in the first level evaluation index in the above example, i.e., scale capacity, availability, security, and resource utilization, as an example, the operator considers that scale capacity is extremely important than availability, and according to Table 1, the importance degree value of scale capacity relative to availability is valued as 9, and correspondingly, the importance degree value of availability relative to scale capacity is valued as 1 / 9. The operator considers that security is slightly important than resource utilization, and according to Table 1, the importance degree value of security relative to resource utilization is valued as 3, and correspondingly, the importance degree value of resource utilization relative to security is valued as 1 / 3. In this way, the importance degree values of the evaluation dimensions in the first level evaluation index are obtained.

[0067] In some embodiments of the present application, after obtaining the importance degree values of the evaluation dimensions, the judgment matrix of the evaluation index at the level can be determined based on the importance degree values of the evaluation dimensions.

[0068] In one example, as shown in Table 2 below, if there are n evaluation dimensions B1, B2, …, Bn in an evaluation index at a level, and if it is determined that the importance degree value of B1 relative to B2 is a11=1, then the importance degree value of B2 relative to B1 is 1 / a11 (for example, B1 is strongly important than B2, and then a11=7 in Table 2, and the importance degree of B2 relative to B1 is 1 / a11=1 / 7). In this way, the n evaluation dimensions B1, B2, …, Bn in the level are compared, and the judgment matrix of the evaluation index at the level is obtained as shown in Table 2.

[0069] Table 2 Judgment matrix corresponding to an evaluation index at a level

[0070]

[0071] In the embodiments of the present application, for each level of evaluation index, in response to the comparison operation on the importance degree of each evaluation dimension in the evaluation index, the importance degree value of each evaluation dimension in the evaluation index is determined, for each level of evaluation index, based on the importance degree value, the judgment matrix corresponding to the evaluation index is determined, so that the judgment matrix corresponding to each level of evaluation index can be accurately determined.

[0072] In some embodiments of the present application, since the evaluation index of the last level is a specific numerical value, there may be numerical values that cannot be compared in these numerical values, for example, the order of magnitude of two compared numerical values is very different, or the meaning represented by two compared numerical values is different (for example, for an index representing line aging, the larger the numerical value corresponding to the index, the more severe the aging degree of the line, that is, the meaning represented by the index is that the larger the numerical value corresponding to the index, the worse the index, such an index is called a negative index. For example, for an index representing the scale capacity, the larger the numerical value corresponding to the index, the larger the scale capacity, that is, the meaning represented by the index is that the larger the numerical value corresponding to the index, the better the index, such an index is called a positive index. For example, for an index representing the ratio of machine room to cabinet, the standard of the index is between 2.5-3.5, and if it exceeds the range, it means that the arrangement of the machine room and the cabinet is problematic, that is, the meaning represented by the index is that the index has a certain range, and if it exceeds the range, it means that the index is problematic, such an index is called a neutral index. The meaning represented by the negative index and the positive index is completely opposite, and the meaning represented by the neutral index is also different from that represented by the negative index and the positive index). In this case, two numerical values cannot be compared, and the judgment matrix corresponding to the evaluation index of the level cannot be obtained, so in order to further obtain the accurate judgment matrix corresponding to the evaluation index of the last level, before step 130, the information processing method described above can further include:

[0073] Preprocessing each evaluation index of the last level to obtain a target evaluation index.

[0074] The target evaluation index can be an evaluation index obtained by preprocessing each evaluation index of the last level.

[0075] In some embodiments of the present application, the preprocessing can at least include one of the following: converting an evaluation index with an order of magnitude difference greater than or equal to a first preset threshold into an evaluation index with an order of magnitude difference less than the first preset threshold, converting a negative evaluation index and a neutral evaluation index into a positive evaluation index.

[0076] In some embodiments of the present application, the negative evaluation index can be positively oriented. Specifically, the negative evaluation index can be positively oriented in the following way:

[0077] (1) For the percentage type of negative evaluation index, it can be positive by the following formula:

[0078] Percentage index positive = 1 - original index value (1)

[0079] In formula (1), the original index value is a negative evaluation index; the percentage index positive is the result of the positive of the percentage type of negative evaluation index.

[0080] (2) For the ratio type of negative evaluation index, it can be positive by the following formula:

[0081] Ratio type index positive = 1 / original index value (2)

[0082] In formula (2), the original index value is a negative evaluation index; the ratio type index positive is the result of the positive of the ratio type of negative evaluation index.

[0083] In some embodiments of the present application, neutral evaluation indexes can also be converted into positive evaluation indexes. Specifically, it can be positive by the following formula:

[0084] Neutral index positive = standard value - original index value (3)

[0085] In formula (3), the original index value is a negative evaluation index; the standard value can be the average value of the range specified by the neutral evaluation index, for example, for the neutral evaluation index representing the ratio of the machine room to the cabinet, the standard value can be the average of 2.5-3.5.

[0086] In some embodiments of the present application, evaluation indexes without comparability can also be processed, specifically standardized, which is divided into the following three cases:

[0087] (1) For evaluation indexes without comparability but with distribution regularity, such as evaluation indexes with exponential distribution, the following formula can be used to standardize them:

[0088]

[0089] In which, Z i is the result of standardization; x i is the evaluation index to be standardized; x min is the minimum value of the evaluation index to be standardized in all objects, x max is the maximum value of the evaluation index to be standardized in all objects.

[0090] In one example, there are 5 objects in total, and each object has the evaluation index A, x min is the minimum value of the A evaluation index in the 5 objects, x max is the maximum value of the A evaluation index in the 5 objects.

[0091] (2) For evaluation indexes with large order of magnitude differences, the following formula is used for standardization:

[0092]

[0093] wherein, Z i is the result of standardization; x min is the minimum value of the evaluation index to be standardized in all objects, x max is the maximum value of the evaluation index to be standardized in all objects.

[0094] (3) For evaluation indexes with irregular distribution, the following formula is used for standardization:

[0095]

[0096] wherein, Z i is the result of standardization; x min is the minimum value of the evaluation index to be standardized in all objects, x max is the maximum value of the evaluation index to be standardized in all objects, a and b are constants, and the values of a and b are obtained by the operator according to experience.

[0097] In the embodiments of the present application, by preprocessing the evaluation indexes of the last level, the evaluation indexes can be converted into evaluation indexes that can be compared, so that the evaluation indexes of the last level can be compared to obtain the judgment matrix corresponding to the evaluation indexes of the last level.

[0098] In some embodiments of the present application, after preprocessing the evaluation indexes of the last level, for the evaluation indexes of the last level, in response to the comparison operation of the importance degree of each evaluation dimension in the evaluation index, the importance degree value of each evaluation dimension in the evaluation index is determined, including:

[0099] For the evaluation indexes of the last level, in response to the comparison operation of the importance degree of each target evaluation index, the importance degree value of each target evaluation index is determined.

[0100] In some embodiments of the present application, after the evaluation indexes of the last level are preprocessed, the target evaluation index is obtained, and then the judgment matrix corresponding to the evaluation indexes of the last level is determined based on the target evaluation index in the manner of step 130. The specific determination manner of the judgment matrix corresponding to the evaluation indexes of the last level can refer to the above examples, and will not be described here.

[0101] Then step 140 is introduced, and the index corresponding to the infrastructure information of the target object is determined based on the judgment matrix corresponding to the evaluation indexes of each level.

[0102] In some embodiments of the present application, in order to further accurately determine the running situation of the infrastructure information of the target object, step 140 can specifically include:

[0103] For each level of evaluation index, the judgment matrix corresponding to the evaluation index is calculated to obtain the first weight corresponding to each evaluation dimension in the evaluation index.

[0104] Based on the evaluation dimensions of each level and the first weight corresponding to the evaluation dimensions of each level, the index corresponding to the infrastructure information of the target object is determined.

[0105] The first weight can be the weight of each evaluation dimension in the evaluation index of each level obtained after the judgment matrix corresponding to the evaluation index of each level is calculated.

[0106] In some embodiments of the present application, for each level of evaluation index, the judgment matrix corresponding to the evaluation index can be calculated based on the following formula (7) to obtain the first weight corresponding to each evaluation dimension in the evaluation index:

[0107] AW=λ max W (7)

[0108] Wherein, A is the judgment matrix corresponding to the evaluation index of a certain level; W is the weight vector corresponding to each evaluation dimension in the evaluation index of the level; λ max is the largest eigenvalue of the judgment matrix A.

[0109] In some embodiments of the present application, according to the above formula (7), the weight vector W corresponding to each evaluation dimension in the evaluation index of the level can be obtained, and each value in W corresponds to the weight (i.e. the first weight) of each evaluation dimension in the evaluation index of the level.

[0110] In some embodiments of the present application, the index can be a number used to represent the running condition of the infrastructure information.

[0111] In some embodiments of the present application, after determining the evaluation indexes of each level and the first weights of each evaluation dimension in the evaluation indexes of each level, an index corresponding to the infrastructure information of the target object can be determined, which can be specifically:

[0112] For each evaluation dimension in the evaluation index of each level, based on the evaluation dimensions in the evaluation index of the next level of the current level and the first weights of the evaluation dimensions in the evaluation index of the next level of the current level, the value of each evaluation dimension in the evaluation index of the current level is determined;

[0113] Based on the values of the evaluation dimensions in the evaluation index of the first level and the first weights of the evaluation dimensions in the evaluation index of the first level, the sub-index corresponding to the evaluation index of the first level is determined.

[0114] The sub-index corresponding to the evaluation index of the first level is determined as the index corresponding to the infrastructure information of the target object.

[0115] In some embodiments of the present application, for each evaluation dimension in the evaluation index of each level, the value of each evaluation dimension in the evaluation index of the current level can be determined based on the following formula (11):

[0116] I i,t =∑I i,j,t W i,j =∑(∑I i,j,k,t W i,j,k )W i,j (8)

[0117] Where I i,t is the value of evaluation dimension i in the evaluation index of the current level for target object t; I i,j,t is the value of sub-evaluation dimension j under evaluation dimension i in the evaluation index of the current level for target object t; W i,j is the first weight corresponding to sub-evaluation dimension j under evaluation dimension i in the evaluation index of the current level; I i,j,k,t is the value of sub-evaluation dimension k under sub-evaluation dimension j under evaluation dimension i in the evaluation index of the current level for target object t, and W i,j,k is the first weight corresponding to sub-evaluation dimension k under sub-evaluation dimension j under evaluation dimension i in the evaluation index of the current level.

[0118] It should be noted that in the above formula (8), if there are several evaluation dimensions in the evaluation index of the current level, i corresponds to each evaluation dimension in the evaluation index of the current level respectively, j corresponds to the sub evaluation dimension of i respectively, and k corresponds to the sub evaluation dimension of j respectively. For example, if there are A, B and C as the evaluation dimensions in the evaluation index of the current level, the values of i can be A, B and C in turn respectively. If A1 and A2 are the sub evaluation dimensions of the evaluation dimension A, B1 and B2 are the sub evaluation dimensions of the evaluation dimension B, and C1 and C2 are the sub evaluation dimensions of the evaluation dimension C, the values of j can be A1 and A2 in turn respectively when i is A. If A11 and A12 are the sub evaluation dimensions of the sub evaluation dimension A1, A21 and A22 are the sub evaluation dimensions of the sub evaluation dimension A2, B11 and B12 are the sub evaluation dimensions of the sub evaluation dimension B1, B21 and B22 are the sub evaluation dimensions of the sub evaluation dimension B2, C11 and C12 are the sub evaluation dimensions of the sub evaluation dimension C1, and C21 and C22 are the sub evaluation dimensions of the sub evaluation dimension C2, the value of k can be A11 and A12 in turn when i is A and j is A1.

[0119] In some embodiments of the present application, the value of each evaluation dimension in the evaluation index of each level is determined based on the sub evaluation dimension under the evaluation dimension, i.e., based on the sub evaluation dimension corresponding to the evaluation dimension in the next level of the level, i.e., the calculation is performed layer by layer upwards.

[0120] In one example, the infrastructure information of the target object T has three levels of evaluation indexes, wherein the evaluation index of the first level has 3, which are A, B and C, the evaluation index of the second level is A1, A2, B1, B2, C1 and C2 respectively (wherein A1 and A2 are the sub evaluation dimensions of the evaluation dimension A, B1 and B2 are the sub evaluation dimensions of the evaluation dimension B, and C1 and C2 are the sub evaluation dimensions of the evaluation dimension C), and the evaluation index of the third level is A11, A12, A21, A22, B11, B12, B21, B22, C11, C12, C21 and C22 respectively (wherein A11 and A12 are the sub evaluation dimensions of the sub evaluation dimension A1, A21 and A22 are the sub evaluation dimensions of the sub evaluation dimension A2, B11 and B12 are the sub evaluation dimensions of the sub evaluation dimension B1, B21 and B22 are the sub evaluation dimensions of the sub evaluation dimension B2, C11 and C12 are the sub evaluation dimensions of the sub evaluation dimension C1, and C21 and C22 are the sub evaluation dimensions of the sub evaluation dimension C2).

[0121] With reference to the above example, when calculating the value of the A evaluation dimension in the evaluation index of the first level of the target object T, formula (8) can be used for calculation, i.e., calculation is performed by the following formula (9):

[0122] I A,T=∑I A,j,T W A,j =∑(∑I A，j,k,T W A,j，k )W A,j (9)

[0123] wherein, j takes value of A1, A2, and k takes value of A11, A12, A21, A22.

[0124] Continuing to refer to the above example, let j=A1 first, and then let k=A11, according to the value of A11 (i.e. I A,A1,A11,T ) and the first weight corresponding to A11 (i.e. W A,A1,A11 ), the partial index corresponding to A11 is calculated, then let j=A1, k=A12, the partial index corresponding to A12 is calculated. Then the partial index corresponding to A11 and the partial index corresponding to A12 are summed to obtain the value of A1 (∑I A,A1,k,T W A,A1,k ), and then the value of A1 is calculated with the first weight corresponding to A1 (i.e. W A,A1 ), to obtain the partial index of A1.

[0125] Continuing to refer to the above example, let j=A2, k=A21 and A22, the partial index corresponding to A21 and A22 are calculated respectively. Then the partial index corresponding to A21 and the partial index corresponding to A22 are summed to obtain the value of A2 (∑I A,A2,k, T W A,A2,k ), and then the value of A2 is calculated with the first weight corresponding to A2 (i.e. W A,A2 ), to obtain the partial index of A2. Then the partial index of A1 and the partial index of A2 are summed to obtain the value of A (i.e. I A,T ).

[0126] In some embodiments of the present application, after the value of each evaluation dimension in the first level evaluation index is calculated based on the above formula (11), the partial index corresponding to the first level evaluation index can be obtained based on the value of each evaluation dimension in the first level evaluation index of the target object, by using the following formula (13):

[0127] I=∑I i,t W i =∑(∑(∑I i,j,k,t W i,j,k )W i,j )W i (10)

[0128] wherein, I is the partial index corresponding to the first level evaluation index; W i is the first weight corresponding to the evaluation dimension i in the first level evaluation index of the target object t.

[0129] In an example, continuing to refer to the above example, after obtaining the value of each evaluation dimension in the evaluation index of the first level in the target object T (i.e., obtaining I A,T , I B,T , I C,T ), then the value of A is calculated with the first weight of A (i.e., W A ) to obtain the sub-index of A; the value of B is calculated with the first weight of B (i.e., W B ) to obtain the sub-index of B; the value of C is calculated with the first weight of C (i.e., W C ) to obtain the sub-index of C. Then the sub-index of A, the sub-index of B and the sub-index of C are summed up according to formula (10) to obtain the sub-index of the evaluation index of the first level.

[0130] In this way, based on the above formula (10), the sub-index corresponding to the evaluation index of the first level can be obtained, which is the index corresponding to the infrastructure information of the target object.

[0131] In some embodiments of the present application, since the importance degree between each evaluation dimension in a certain level of evaluation index is determined according to the prior experience of the operator when determining the judgment matrix corresponding to each level of evaluation index, there may be a problem that the importance degree between each evaluation dimension in a certain level of evaluation index is not accurate. If the importance degree between each evaluation dimension in a certain level of evaluation index is not accurate, the judgment matrix corresponding to the evaluation index of this level is also not accurate, and thus a correct index cannot be obtained to determine the running situation of the infrastructure information of the target object. Therefore, after step 140, the importance degree between each evaluation dimension in each level of evaluation index needs to be checked for consistency (i.e., the ranking of each evaluation dimension in each level of evaluation index needs to meet a certain logic, for example, if there are three evaluation dimensions A, B and C in a level of evaluation index, if evaluation dimension A is more important than evaluation dimension B, and evaluation dimension B is more important than evaluation dimension C, then evaluation dimension A should be obviously more important than evaluation dimension C) to determine whether the importance degree between each evaluation dimension in this level of evaluation index is consistent.

[0132] In some embodiments of the present application, in order to ensure whether the importance degree between each evaluation dimension in each level of evaluation index is consistent, after obtaining the first weight corresponding to each evaluation dimension in the evaluation index, the above-mentioned information processing method can further include:

[0133] checking the consistency of the importance degree of each evaluation dimension in each level of evaluation index;

[0134] In a case where the consistency check passes, the importance degrees of the evaluation dimensions in the evaluation index are determined to pass;

[0135] In a case where the consistency check fails, the importance degrees of the evaluation dimensions in the evaluation index are compared again.

[0136] In the embodiments of the present application, after the first weights of the evaluation dimensions in the evaluation index of each level are determined, the importance degrees of the evaluation dimensions in the evaluation index are subjected to a consistency check. In a case where the consistency check passes, the importance degrees of the evaluation dimensions in the evaluation index are determined to pass. In a case where the consistency check fails, the importance degrees of the evaluation dimensions in the evaluation index are compared again. In this way, the correctness of the importance degrees of the evaluation dimensions in the evaluation index of each level can be ensured.

[0137] In some embodiments of the present application, the consistency check of the importance degrees of the evaluation dimensions in the evaluation index for each level can specifically include:

[0138] For the evaluation index of each level, a consistency index corresponding to the evaluation index is determined based on the eigenvalue corresponding to the evaluation index and the number of evaluation dimensions included in the evaluation index;

[0139] For the evaluation index of each level, an average consistency index corresponding to the evaluation index is determined based on the number of evaluation dimensions included in the evaluation index and the correspondence between the number of evaluation dimensions included in the evaluation index and the average consistency index;

[0140] For the evaluation index of each level, a consistency ratio corresponding to the evaluation index is determined based on the consistency index and the average consistency index;

[0141] For the evaluation index of each level, the importance degrees of the evaluation dimensions in the evaluation index are subjected to the consistency check based on the consistency ratio.

[0142] For the evaluation index of each level, the consistency index can be a result obtained based on the eigenvalue corresponding to the evaluation index and the number of evaluation dimensions included in the evaluation index.

[0143] For the evaluation index of each level, the average consistency index can be obtained based on the number of evaluation dimensions included in the evaluation index and the correspondence between the number of evaluation dimensions included in the evaluation index and the average consistency index.

[0144] For the evaluation index of each level, the consistency ratio can be obtained based on the consistency index and the average consistency index.

[0145] In some embodiments of the present application, when the judgment matrix corresponding to the evaluation indexes of a certain level is solved by using formula (7), the eigenvalue corresponding to the evaluation indexes of the level can be obtained. Then, by using the eigenvalue and the number of evaluation dimensions included in the evaluation indexes of the level, the consistency index corresponding to the evaluation indexes of the level is obtained by using formula (11) as follows:

[0146]

[0147] wherein CI is the consistency index corresponding to the evaluation indexes of a certain level; λ max is the eigenvalue corresponding to the evaluation indexes of the level; and n is the number of evaluation dimensions in the evaluation indexes of the level.

[0148] In some embodiments of the present application, for each level of evaluation indexes, based on the number of evaluation dimensions included in the evaluation indexes and the corresponding relationship between the number of evaluation dimensions and the average consistency index (as shown in Table 3), the average consistency index corresponding to the evaluation indexes is determined:

[0149] Table 3 Corresponding relationship table between the number of evaluation dimensions and the average consistency index

[0150]

[0151] In one example, for the evaluation indexes of a certain level, the number of evaluation dimensions included in the evaluation indexes of the level is 5, and based on the corresponding relationship between the number of evaluation dimensions and the average consistency index in Table 3, it can be known that the average consistency index corresponding to the evaluation indexes of the level is 1.12.

[0152] In some embodiments of the present application, for each level of evaluation indexes, after calculating the consistency index and the average consistency index corresponding to the evaluation indexes of a certain level, based on the consistency index and the average consistency index corresponding to the evaluation indexes of the level, the consistency ratio corresponding to the evaluation indexes of the level is calculated by using formula (12) as follows:

[0153]

[0154] wherein CR is the consistency ratio corresponding to the evaluation indexes of a certain level; CI is the consistency index corresponding to the evaluation indexes of the level; and RI is the average consistency index corresponding to the evaluation indexes of the level.

[0155] In some embodiments of the present application, for each level of evaluation index, after obtaining the consistency proportion corresponding to the evaluation index of the level, if the consistency proportion corresponding to the evaluation index of the level is less than a preset consistency proportion threshold (for example, which can be 0.1), it is determined that the consistency check of the importance degree of each evaluation dimension in the evaluation index of the level passes. If the consistency proportion corresponding to the evaluation index of the level is greater than or equal to the preset consistency proportion threshold (for example, which can be 0.1), it is determined that the consistency check of the importance degree of each evaluation dimension in the evaluation index of the level fails, and it is necessary to re-compare the importance degree of each evaluation dimension in the evaluation index, that is, it is necessary for the operator to re-determine the importance degree value of each evaluation dimension in the evaluation index.

[0156] In some embodiments of the present application, since the infrastructure information of the target object is layered according to the experience of the operator when the infrastructure information of the target object is layered, there may be a problem with the layering of the infrastructure information of the target object. If the layering of the infrastructure information of the target object is problematic, the operation of the infrastructure information of the target object will also be problematic, and the operation of the infrastructure information of the target object cannot be accurately evaluated. Therefore, after determining whether the importance degree of each evaluation dimension in each level of evaluation index is reasonable, the layering operation of the infrastructure information of the target object also needs to be checked to determine whether the layering operation of the infrastructure information of the target object is reasonable, that is, whether the total ranking of each evaluation index of the infrastructure information of the target object is reasonable, because if the layering operation of the infrastructure information of the target object is unreasonable, the operation of the infrastructure information of the target object cannot be correctly evaluated.

[0157] In some embodiments of the present application, in order to check whether the layering operation of the infrastructure information of the target object is reasonable, after the consistency check of the importance degree of each evaluation dimension in each level of evaluation index, the above-mentioned information processing method can further include:

[0158] For each level of evaluation index, based on the first weight corresponding to the evaluation index of the current level, and the consistency index and the average consistency index corresponding to the evaluation index of the next level of the current level, determine the consistency proportion of the evaluation index of the current level and the evaluation index of the next level;

[0159] If the consistency proportion of each current level of evaluation index and each next level of evaluation index is less than a preset proportion threshold, it is determined that the level distribution of each level of evaluation index is established;

[0160] In a case where the consistency proportion of the evaluation index of the current level and the evaluation index of the next level of the current level is greater than or equal to the preset proportion threshold, the multiple levels of evaluation indexes corresponding to the infrastructure information are re-determined.

[0161] The current level can be a level currently determined.

[0162] The preset proportion threshold can be a threshold of the consistency proportion of the evaluation index of the current level and the evaluation index of the next level of the current level.

[0163] In some embodiments of the present application, for each level of evaluation index, the consistency proportion of the evaluation index of the current level and the evaluation index of the next level of the current level can be determined based on the first weight corresponding to the evaluation index of the current level, and the consistency index and the average consistency index corresponding to the evaluation index of the next level of the current level, by using the following formula (10):

[0164]

[0165] In the formula (10), CR1 represents the consistency proportion of the evaluation index of the current level and the evaluation index of the next level; W (k-1) is the first weight corresponding to the evaluation index of the current level; CI k is the consistency index corresponding to the evaluation index of the next level of the current level; and RI k is the average consistency index corresponding to the evaluation index of the next level of the current level.

[0166] In some embodiments of the present application, after the consistency proportion of the evaluation index of each current level and the evaluation index of the next level of the current level is determined based on the formula (13), if the consistency proportion of the evaluation index of each current level and the evaluation index of the next level of the current level is less than the preset proportion threshold, it is determined that the level distribution of the evaluation index of each level is established; if the consistency proportion of the evaluation index of a certain current level and the evaluation index of the next level of the current level is greater than or equal to the preset proportion threshold, the multiple levels of evaluation indexes corresponding to the infrastructure information need to be re-determined.

[0167] In the embodiments of the present application, by checking the hierarchical evaluation index of the infrastructure information of the target object, the infrastructure information of the target object can be accurately layered to obtain an accurate index corresponding to the infrastructure information of the target object, and the running condition of the infrastructure information of the target object can be accurately evaluated based on the index.

[0168] Finally, step 160 is introduced, and the running condition corresponding to the infrastructure information is determined based on the index.

[0169] In some embodiments of the present application, after the index corresponding to the infrastructure information of the target object is determined, since the index is used to represent the running status of the infrastructure information, the running status corresponding to the infrastructure information can be determined based on the index, so that the running status corresponding to the infrastructure information of the target object is evaluated based on a unified standard.

[0170] In some embodiments of the present application, if the index is less than a preset index threshold, it is proved that the running status corresponding to the infrastructure information of the target object is not good, and if the index is greater than or equal to a preset index threshold, it is proved that the running status corresponding to the infrastructure information of the target object is good.

[0171] In some embodiments of the present application, the preset index threshold can be set according to user demand, which is not limited herein.

[0172] In some embodiments of the present application, the information processing method provided by the embodiments of the present application is implemented based on the analytic hierarchy process (AHP). The analytic hierarchy process is a multi-objective decision analysis method combining quantification and quality proposed by T.L. Saaty, an American operations researcher, in the 1970s. The core of this method is to quantify the experience judgment of the decision maker, thereby providing the decision maker with a quantitative form of decision basis, which is more practical in the case of complex target structure and lack of necessary data.

[0173] The calculation process of the AHP method is as follows: first, the index weight coefficient is calculated. In fact, on the basis of establishing an ordered hierarchical index system, the advantages and disadvantages of each index in the system are judged by pairwise comparison between indexes, and the weight coefficient of each index is calculated by using the judgment result. That is, the judgment matrix is determined by the pairwise comparison method, then the characteristic vector component corresponding to the maximum eigenvalue of the judgment matrix is taken as the corresponding coefficient, and finally the weight of each scheme is given.

[0174] As shown in FIG. 1, the calculation process of the AHP method is shown in FIG. 1. In order to facilitate the understanding of the AHP method, the AHP method will be applied to the evaluation of the running status of the infrastructure information of the target object in the embodiments of the present application. Figure 2

[0175] 1. Clarify the problem.

[0176] In some embodiments of the present application, this part is to clarify the scope of the problem, the factors contained, the relationship between the factors, etc., so as to grasp as much information as possible.

[0177] ​In the assessment of the running state of the infrastructure information corresponding to the target object in the embodiment, the explicit problem is to assess the running state of the infrastructure information of the target object.

[0178] 2. Establish hierarchy

[0179] In some embodiments of the present application, in this step, the factors contained in the problem are required to be grouped, and each group is taken as a hierarchy, which is arranged in the form of the highest layer (target layer), several intermediate layers (criterion layer), and the lowest layer (scheme layer). If an element has a connection with all elements of the next layer, it is said that the element has a complete hierarchical relationship with the next hierarchy; if an element has a connection with only part of the elements of the next layer, it is said that the element has an incomplete hierarchical relationship with the next hierarchy. A sub-hierarchy can be established between hierarchies, which is subordinate to an element in the main hierarchy, and its elements have a connection with the elements of the next layer, but do not form an independent hierarchy.

[0180] In the assessment of the running state of the infrastructure information corresponding to the target object in the embodiment, in response to the hierarchical operation of the infrastructure information, the evaluation indexes of the multiple hierarchies corresponding to the infrastructure information are obtained.

[0181] 3. Construct judgment matrix

[0182] In the assessment of the running state of the infrastructure information corresponding to the target object in the embodiment, for each evaluation index of the hierarchy, a judgment matrix corresponding to the evaluation index is determined.

[0183] 4. Calculate single-layer index weight

[0184] In the assessment of the running state of the infrastructure information corresponding to the target object in the embodiment, for each evaluation index of the hierarchy, the first weight corresponding to each evaluation dimension in the evaluation index is calculated.

[0185] 5. Single-layer consistency check

[0186] In the assessment of the running state of the infrastructure information corresponding to the target object in the embodiment, for each evaluation index of the hierarchy, the importance degree of each evaluation dimension in the evaluation index of the hierarchy is checked for consistency.

[0187] 6. Calculate total combination weight

[0188] In the assessment of the running state of the infrastructure information corresponding to the target object in the embodiment, the consistency ratio CR1 of the evaluation index of the current hierarchy and the evaluation index of the next hierarchy is calculated.

[0189] 7. Total-layer consistency check

[0190] In the assessment of the operational status of the infrastructure information of the target object in this embodiment, the consistency ratio CR1 between the current level evaluation index and the next level evaluation index is compared with the preset ratio threshold. Based on the comparison result of the consistency ratio CR1 between the current level evaluation index and the next level evaluation index and the preset ratio threshold, a total level consistency check is performed.

[0191] 8. Exponential Model

[0192] In the evaluation of the operational status of the infrastructure information of the target object in this embodiment, the index corresponding to the infrastructure information of the target object is determined based on the evaluation dimensions of each level and the first weight corresponding to each evaluation dimension.

[0193] In the embodiments of this application, an index model is established using the analytic hierarchy process (AHP) to quantitatively assess the operational status of the infrastructure information of the target object. It should be noted that the information processing method provided in the embodiments of this application can be executed by an information processing device or a control module within that information processing device for executing the information processing method. This application uses an information processing device executing a model verification method as an example to illustrate the information processing device provided in the embodiments of this application.

[0194] Based on the same inventive concept as the information processing method described above, this application also provides an information processing apparatus applied to a server. The following, in conjunction with... Figure 3 The information processing apparatus provided in the embodiments of this application will be described in detail.

[0195] Figure 3 This is a structural block diagram of an information processing apparatus according to an exemplary embodiment.

[0196] like Figure 3 As shown, the information processing device 300 may include:

[0197] Module 310 is used to obtain infrastructure information corresponding to the target object;

[0198] The first determining module 320 is used to respond to the hierarchical operation of the infrastructure information to obtain multiple levels of evaluation indicators corresponding to the infrastructure information; wherein, the evaluation indicator of each level has at least one evaluation dimension, and the evaluation indicator of the next level is a sub-evaluation dimension of each evaluation dimension in the evaluation indicator of the previous level.

[0199] The second determining module 330 is used to determine the judgment matrix corresponding to the evaluation index for each level and the importance value corresponding to each evaluation dimension in the evaluation index.

[0200] The third determining module 340 is configured to determine an index corresponding to the infrastructure information of the target object based on the judgment matrix corresponding to each level of the evaluation index, wherein the index is used to represent the running state corresponding to the infrastructure information.

[0201] The fourth determining module 350 is configured to determine the running state corresponding to the infrastructure information based on the index.

[0202] In the embodiments of the present application, the infrastructure information corresponding to the target object is obtained by the obtaining module, the first determining module is used to obtain a plurality of levels of evaluation indexes corresponding to the infrastructure information in response to the hierarchical operation on the infrastructure information, the second determining module is used to determine the judgment matrix corresponding to each level of the evaluation index based on each level of the evaluation index and the importance degree value corresponding to each evaluation dimension in the evaluation index, the third determining module is used to determine the index corresponding to the infrastructure information of the target object based on the judgment matrix corresponding to each level of the evaluation index, and the fourth determining module is used to determine the running state corresponding to the infrastructure information based on the index. In this way, the infrastructure information is divided into a plurality of levels of evaluation indexes, the index corresponding to the infrastructure information is determined according to the obtained judgment matrix corresponding to each evaluation index, the index is used to represent the running state corresponding to the infrastructure information, and the effect of determining the running state of the infrastructure information by using a unified evaluation standard, i.e., the index, is achieved.

[0203] In some embodiments of the present application, in order to accurately determine the judgment matrix corresponding to each level of the evaluation index, the judgment matrix determining module can specifically include:

[0204] The importance degree value determining unit is configured to determine the importance degree value of each evaluation dimension in the evaluation index in response to the comparison operation on the importance degree of each evaluation dimension in the evaluation index for each level of the evaluation index.

[0205] The judgment matrix determining unit is configured to determine the judgment matrix corresponding to the evaluation index based on the importance degree value for each level of the evaluation index.

[0206] In some embodiments of the present application, the third determining module 340 can specifically include:

[0207] The first weight determining unit is configured to solve the judgment matrix corresponding to the evaluation index to obtain the first weight corresponding to each evaluation dimension in the evaluation index for each level of the evaluation index.

[0208] The index determining unit is configured to determine the index corresponding to the infrastructure information of the target object based on each level of the evaluation dimension and the first weight corresponding to each level of the evaluation dimension.

[0209] In some embodiments of the present application, in order to ensure that the importance degrees of the evaluation dimensions in the evaluation indexes of each level are consistent, the information processing apparatus can further include:

[0210] a consistency checking module configured to check the importance degrees of the evaluation dimensions in the evaluation indexes of each level for consistency;

[0211] a checking passing module configured to determine that the importance degrees of the evaluation dimensions in the evaluation indexes pass if the consistency checking passes;

[0212] a checking failing module configured to re-compare the importance degrees of the evaluation dimensions in the evaluation indexes if the consistency checking fails.

[0213] In some embodiments of the present application, the first weight determining module is further configured to solve the judgment matrix corresponding to the evaluation indexes of each level to obtain the eigenvalue corresponding to the evaluation indexes;

[0214] The consistency checking module is specifically configured to:

[0215] determine, for each level of the evaluation indexes, a consistency index corresponding to the evaluation indexes based on the eigenvalue corresponding to the evaluation indexes and the number of evaluation dimensions included in the evaluation indexes;

[0216] determine, for each level of the evaluation indexes, an average consistency index corresponding to the evaluation indexes based on the number of evaluation dimensions included in the evaluation indexes and a corresponding relationship between the number of evaluation dimensions included in the evaluation indexes and the average consistency index;

[0217] determine, for each level of the evaluation indexes, a consistency ratio corresponding to the evaluation indexes based on the consistency index and the average consistency index;

[0218] check, for each level of the evaluation indexes, the importance degrees of the evaluation dimensions in the evaluation indexes for consistency based on the consistency ratio.

[0219] In some embodiments of the present application, in order to check whether the hierarchical operation on the infrastructure information of the target object is reasonable, the information processing apparatus can further include:

[0220] a consistency ratio determination module configured to determine, for each level of the evaluation indicator, a consistency ratio between the evaluation indicator of a current level and an evaluation indicator of a next level of the current level based on the first weight corresponding to the evaluation indicator of the current level and the consistency indicator and the average consistency indicator corresponding to the evaluation indicator of the next level of the current level;

[0221] a level distribution establishment determination module configured to determine that the level distribution of the evaluation indicators is established when the consistency ratio between the evaluation indicator of each current level and the evaluation indicator of the next level of the current level is less than a preset ratio threshold;

[0222] a level distribution non-establishment determination module configured to re-determine the evaluation indicators of a plurality of levels corresponding to the infrastructure information when the consistency ratio between the evaluation indicator of any one current level and the evaluation indicator of the next level of the current level is greater than or equal to the preset ratio threshold.

[0223] In some embodiments of the present application, the index determination unit is specifically configured to:

[0224] determine, for each evaluation dimension in each evaluation indicator of each level, a value of each evaluation dimension in the evaluation indicator of the current level based on each evaluation dimension in the evaluation indicator of the next level of the current level and the first weight corresponding to each evaluation dimension in the evaluation indicator of the next level of the current level;

[0225] determine the sub-item index corresponding to the evaluation indicator of the first level based on the value of each evaluation dimension in the evaluation indicator of the first level and the first weight corresponding to each evaluation dimension in the evaluation indicator of the first level;

[0226] determine the sub-item index corresponding to the evaluation indicator of the first level as the index corresponding to the infrastructure information of the target object.

[0227] The information processing apparatus provided by the embodiments of the present application can be used to execute the information processing method provided by each method embodiment, and has similar implementation principles and technical effects. For brevity, the details are not repeated here.

[0228] Based on the same inventive concept, the embodiments of the present application further provide an electronic device.

[0229] Figure 4 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. As shown in Figure 4 the electronic device can include a processor 401 and a memory 402 storing computer programs or instructions.

[0230] In particular, the processor 401 can include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or can be configured to implement one or more integrated circuits that implement embodiments of the present application.

[0231] The memory 402 can include mass storage for data or instructions. By way of example, and not limitation, the memory 402 can include a hard disk drive (HDD), a floppy disk drive, flash memory, an optical disc (e.g., a compact disc (CD) or a digital versatile disc (DVD)), a tape drive, a USB drive, or a combination of two or more of these. The memory 402 can be removable and / or non-removable (or fixed) as appropriate. The memory 402 can be internal or external as appropriate. In certain embodiments, the memory 402 is non-volatile solid-state memory. In certain embodiments, the memory 402 includes read-only memory (ROM). Where appropriate, this ROM can be mask programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically alterable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0232] The processor 401 implements any of the information processing methods described above by reading and executing computer program instructions stored in the memory 402.

[0233] In one example, the electronic device can further include a communication interface 403 and a bus 410. Where appropriate, the processor 401, the memory 402, and the communication interface 403 are connected and communicate with each other via the bus 410. Figure 4 As shown, the processor 401, the memory 402, and the communication interface 403 are connected via the bus 410 and communicate with each other.

[0234] The communication interface 403 is mainly used to realize the communication between the modules, devices, units, and / or devices in the embodiments of the present application.

[0235] Bus 410 includes a hardware, software, or both that couples components of electronic device to each other. As an example and not by way of limitation, bus can include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand (IB) interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or another suitable bus or a combination of two or more of these. Where appropriate, bus 410 can include one or more buses. Although this disclosure describes and illustrates a particular bus, this disclosure contemplates any suitable bus or interconnect.

[0236] The electronic device can perform the information processing method in the embodiments of the present disclosure, thereby implementing the information processing method described in the figures.

[0237] In addition, in combination with the information processing method in the above embodiments, the embodiments of the present disclosure can provide a readable storage medium to implement. The readable storage medium has program instructions stored thereon; the program instructions are executed by the processor to implement any one of the information processing methods in the above embodiments.

[0238] It needs to be clear that the present disclosure is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of well-known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present disclosure is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after understanding the spirit of the present disclosure.

[0239] The functional blocks shown in the above structure block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a functional card, etc. When implemented in software, the elements of the present disclosure are program or code segments used to perform the required tasks. The program or code segments can be stored in a machine-readable medium or transmitted through a data signal carried in a carrier wave over a transmission medium or communication link. The "machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segments can be downloaded via a computer network such as the Internet, an intranet, etc.

[0240] It should also be noted that the exemplary embodiments mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in an order different from the embodiments, or several steps are performed simultaneously.

[0241] The above merely illustrates the specific implementation of the present application. Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, module and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described herein. It should be understood that the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed by the present application, and these modifications or replacements shall be covered within the protection scope of the present application.

Claims

1. An information processing method characterized by comprising: The method comprises: obtaining infrastructure information corresponding to a target object, the target object being an enterprise; in response to hierarchical operation on the infrastructure information, obtaining evaluation indexes corresponding to the infrastructure information at three levels; wherein each level of the evaluation indexes has at least one evaluation dimension, the evaluation indexes at a next level are sub-evaluation dimensions of each evaluation dimension in the evaluation indexes at a previous level, the evaluation indexes at a first level have an evaluation dimension of a scale capacity of the infrastructure information, the evaluation indexes at a second level have evaluation dimensions of a site scale capacity, a computing scale capacity, a storage scale capacity, a network scale capacity and a software scale capacity, and the evaluation indexes at a third level have evaluation dimensions of respective numerical values corresponding to the site scale capacity, the computing scale capacity, the storage scale capacity, the network scale capacity and the software scale capacity; preprocessing each evaluation index at the third level to obtain a target evaluation index, wherein the preprocessing at least includes one of the following: converting an evaluation index with a magnitude difference greater than or equal to a first preset threshold into an evaluation index with a magnitude difference less than the first preset threshold, and converting a negative evaluation index and a neutral evaluation index into a positive evaluation index; for each level of the evaluation indexes, obtaining an importance degree value of each evaluation dimension in the evaluation indexes, wherein the importance degree value is a value obtained by comparing the importance degrees of each evaluation dimension in the evaluation indexes according to an importance degree assignment table; for each level of the evaluation indexes, determining a judgment matrix corresponding to the evaluation indexes based on the importance degree value; based on the judgment matrices corresponding to the evaluation indexes at each level, determining an index corresponding to the infrastructure information of the target object, wherein the index is used to represent an operating condition corresponding to the infrastructure information; based on the index, determining the operating condition corresponding to the infrastructure information.

2. The method of claim 1, wherein, The method of determining the index corresponding to the infrastructure information of the target object based on the judgment matrices corresponding to the evaluation indexes at each level comprises: for each level of the evaluation indexes, solving the judgment matrix corresponding to the evaluation indexes to obtain a first weight corresponding to each evaluation dimension in the evaluation indexes; based on the evaluation dimensions at each level and the first weights corresponding to the evaluation dimensions at each level, determining the index corresponding to the infrastructure information of the target object.

3. The method of claim 2, wherein, After the method of solving the judgment matrix corresponding to the evaluation indexes at each level to obtain the first weight corresponding to each evaluation dimension in the evaluation indexes, the method further comprises: for each level of the evaluation indexes, performing a consistency check on the importance degrees of each evaluation dimension in the evaluation indexes; in a case where the consistency check passes, determining that the importance degrees of each evaluation dimension in the evaluation indexes pass; in a case where the consistency check does not pass, re-comparing the importance degrees of each evaluation dimension in the evaluation indexes.

4. The method of claim 3, wherein, After the judgment matrix corresponding to the evaluation index of each level is solved, the method further comprises: obtaining eigenvalues corresponding to the evaluation index; The consistency of the importance degree of each evaluation dimension in the evaluation index is checked for each level of the evaluation index, comprising: For each level of the evaluation index, based on the eigenvalues corresponding to the evaluation index and the number of evaluation dimensions included in the evaluation index, a consistency index corresponding to the evaluation index is determined; For each level of the evaluation index, based on the number of evaluation dimensions included in the evaluation index and the correspondence between the number of evaluation dimensions included in the evaluation index and the average consistency index, an average consistency index corresponding to the evaluation index is determined; For each level of the evaluation index, based on the consistency index and the average consistency index, a consistency ratio corresponding to the evaluation index is determined; For each level of the evaluation index, the consistency of the importance degree of each evaluation dimension in the evaluation index is checked based on the consistency ratio.

5. The method of claim 4, wherein, After the consistency of the importance degree of each evaluation dimension in the evaluation index is checked for each level of the evaluation index, the method further comprises: For each level of the evaluation index, based on the first weight corresponding to the evaluation index of the current level and the consistency index and the average consistency index corresponding to the evaluation index of the next level of the current level, the consistency ratio of the evaluation index of the current level and the evaluation index of the next level is determined. In the case where the consistency ratio of the evaluation index of each current level and the evaluation index of the next level of each current level is less than a preset ratio threshold, it is determined that the level distribution of the evaluation index of each level is established; in the case where the consistency ratio of the evaluation index of any one current level and the evaluation index of the next level of the current level is greater than or equal to the preset ratio threshold, the evaluation index of multiple levels corresponding to the infrastructure information is re-determined.

6. The method of claim 2, wherein, The determination of the index corresponding to the infrastructure information of the target object based on the evaluation dimensions of each level and the first weights corresponding to the evaluation dimensions of each level comprises: For each evaluation dimension in each evaluation index of each level, based on each evaluation dimension in the next level evaluation index of the current level and the first weight corresponding to each evaluation dimension in the next level evaluation index of the current level, the value of each evaluation dimension in the evaluation index of the current level is determined; Based on the values of each evaluation dimension in the evaluation index of the first level and the first weights corresponding to each evaluation dimension in the evaluation index of the first level, the sub-item index corresponding to the evaluation index of the first level is determined; The sub-item index corresponding to the evaluation index of the first level is determined as the index corresponding to the infrastructure information of the target object.

7. An information processing apparatus, characterized by comprising: The device comprises: an acquisition module configured to acquire infrastructure information corresponding to a target object, the target object being an enterprise; The first determining module is configured to obtain evaluation indexes corresponding to three levels of the infrastructure information in response to a hierarchical operation on the infrastructure information; each level of the evaluation indexes has at least one evaluation dimension, the evaluation indexes of a next level are sub evaluation dimensions of each evaluation dimension of the evaluation indexes of a previous level, the evaluation indexes of a first level have an evaluation dimension of a scale capacity of the infrastructure information, the evaluation indexes of a second level have evaluation dimensions of a site scale capacity, a computing scale capacity, a storage scale capacity, a network scale capacity and a software scale capacity, and the evaluation indexes of a third level have evaluation dimensions of respective values of the site scale capacity, the computing scale capacity, the storage scale capacity, the network scale capacity and the software scale capacity; The importance degree value determining unit is configured to pre-process each evaluation index of the third level to obtain target evaluation indexes; the pre-processing at least includes one of the following: converting an evaluation index with a magnitude difference greater than or equal to a first preset threshold into an evaluation index with a magnitude difference less than the first preset threshold, and converting a negative evaluation index and a neutral evaluation index into a positive evaluation index; for each level of the evaluation indexes, an importance degree value of each evaluation dimension in the evaluation index is obtained, wherein the importance degree value is a value obtained by comparing the importance degrees of each evaluation dimension in the evaluation index according to an importance degree assignment table; The judgment matrix determining unit is configured to determine, for each level of the evaluation indexes, a judgment matrix corresponding to the evaluation index based on the importance degree value; The third determining module is configured to determine an index corresponding to the infrastructure information of the target object based on the judgment matrix corresponding to each level of the evaluation indexes, wherein the index is used to represent an operating condition corresponding to the infrastructure information; The fourth determining module is configured to determine the operating condition corresponding to the infrastructure information based on the index.

8. An electronic device, comprising: The processor, the memory and the program or instructions stored on the memory and executable on the processor are included, and the program or instructions are executed by the processor to implement the steps of the information processing method according to any one of claims 1-6.

9. A readable storage medium, characterized by, The program or instructions are stored on the readable storage medium, and the program or instructions are executed by the processor to implement the steps of the information processing method according to any one of claims 1-6.

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