CN113392536B - Power communication network simulation evaluation method, device, computer equipment and medium - Google Patents

Power communication network simulation evaluation method, device, computer equipment and medium Download PDF

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Publication number
CN113392536B
CN113392536B CN202110740847.3A CN202110740847A CN113392536B CN 113392536 B CN113392536 B CN 113392536B CN 202110740847 A CN202110740847 A CN 202110740847A CN 113392536 B CN113392536 B CN 113392536B
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simulation
index
indexes
communication network
model
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CN113392536A (en
Inventor
林旭斌
张思拓
胡飞飞
曹扬
明哲
陈华军
王健
连晨
毕凯峰
母天石
邓子杰
周磊
王劲午
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China Southern Power Grid Digital Power Grid Group Information Communication Technology Co ltd
China Southern Power Grid Co Ltd
Southern Power Grid Digital Grid Research Institute Co Ltd
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China Southern Power Grid Co Ltd
Southern Power Grid Digital Grid Research Institute Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/02—CAD in a network environment, e.g. collaborative CAD or distributed simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks

Abstract

The application relates to a power communication network simulation evaluation method, a device, computer equipment and a storage medium. The method comprises the following steps: acquiring simulation results of a plurality of simulation indexes of the power communication network to be evaluated and preset index thresholds corresponding to the simulation indexes; comparing the simulation results corresponding to the simulation indexes with the index thresholds corresponding to the simulation indexes, and determining the evaluation information of the simulation indexes; obtaining index weights corresponding to the simulation indexes; and obtaining the evaluation information aiming at the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index. By adopting the method, the evaluation accuracy of the power communication network can be improved.

Description

Power communication network simulation evaluation method, device, computer equipment and medium
Technical Field
The present disclosure relates to the field of power simulation technologies, and in particular, to a power communication network simulation evaluation method, apparatus, computer device, and storage medium.
Background
With the development of power technology, a communication network for ensuring stable operation of a power system, i.e., a power communication network, is presented, and in order to ensure safe operation of the power system, reliability and validity of the power communication network need to be evaluated to accurately analyze network performance of the power communication network.
At present, a network performance of the power communication network may be analyzed by constructing a network model of the power communication network through a power simulation system, simulating the network model, and evaluating the network performance of the power communication network through a simulation result. However, the network performance of the power communication network is mainly obtained by expertise to make an empirical decision on a simulation result, and the network performance is subjective, so that the obtained evaluation accuracy of the power communication network is low.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a power communication network simulation evaluation method, apparatus, computer device and storage medium for the above technical problems.
A power communication network simulation assessment method, the method comprising:
acquiring simulation results of a plurality of simulation indexes of the power communication network to be evaluated and preset index thresholds corresponding to the simulation indexes;
comparing the simulation results corresponding to the simulation indexes with the index thresholds corresponding to the simulation indexes, and determining the evaluation information of the simulation indexes;
acquiring index weights corresponding to the simulation indexes;
and obtaining the evaluation information aiming at the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index.
In one embodiment, the obtaining the index weight corresponding to each simulation index includes: acquiring and displaying a plurality of preset index weight distribution models; determining a target index weight distribution model matched with a triggering operation in response to the triggering operation of the plurality of index weight distribution models; and obtaining the index weight corresponding to each simulation index by using the target index weight distribution model.
In one embodiment, the target index weight distribution model includes: a first distribution model for equally distributing the index weights corresponding to the simulation indexes; the obtaining the index weight corresponding to each simulation index by using the target index weight distribution model comprises the following steps: acquiring the index number of the plurality of simulation indexes; and carrying out average distribution on the index weights corresponding to the simulation indexes according to the index number to obtain the index weights corresponding to the simulation indexes.
In one embodiment, the target index weight distribution model includes: a second distribution model for equally distributing the index weights corresponding to the simulation indexes according to the index level; the obtaining the index weight corresponding to each simulation index by using the target index weight distribution model comprises the following steps: determining a current simulation index and a current index level corresponding to the current simulation index; acquiring the level weight corresponding to the current index level and the number of current level indexes contained in the current index level; and carrying out average distribution on the level weights according to the number of the current level indexes to obtain index weights corresponding to the current simulation indexes.
In one embodiment, the target index weight distribution model includes: a third distribution model for distributing the index weights corresponding to the simulation indexes according to the evaluation quantization degree; the obtaining the index weight corresponding to each simulation index by using the target index weight distribution model comprises the following steps: determining a current simulation index; determining an estimated quantization degree coefficient corresponding to the current simulation index based on the relative estimated quantization degree between the current simulation index and each simulation index; obtaining estimated quantized degree coefficients corresponding to each simulation index, and summing the estimated quantized degree coefficients corresponding to each simulation index to obtain an estimated quantized degree total coefficient; and taking the ratio of the estimated quantization degree coefficient corresponding to the current simulation index and the estimated quantization degree total coefficient as the index weight corresponding to the current simulation index.
In one embodiment, the obtaining simulation results for a plurality of simulation metrics of the power communication network to be evaluated includes: acquiring the network topology of the power communication network, and constructing a communication network model corresponding to the network topology according to the network topology; and simulating the communication network model by using a preset simulation system to obtain simulation results of a plurality of simulation indexes aiming at the communication network model.
In one embodiment, the constructing a communication network model corresponding to the network topology according to the network topology includes: acquiring communication equipment models of a plurality of communication nodes forming the power communication network and connection information of the plurality of communication nodes according to the network topology; acquiring a node model corresponding to each communication node from a pre-constructed simulation model library by using the communication equipment model; and connecting the node models corresponding to the communication nodes according to the connection information to construct the communication network model.
An electrical power communication network simulation evaluation apparatus, the apparatus comprising:
the simulation result acquisition module is used for acquiring simulation results of a plurality of simulation indexes of the power communication network to be evaluated and preset index thresholds corresponding to the simulation indexes;
the simulation index evaluation module is used for comparing the simulation results corresponding to the simulation indexes with index thresholds corresponding to the simulation indexes to determine evaluation information of the simulation indexes;
the index weight acquisition module is used for acquiring the index weight corresponding to each simulation index;
and the power network evaluation module is used for obtaining the evaluation information aiming at the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described above.
According to the power communication network simulation evaluation method, the device, the computer equipment and the storage medium, simulation results of a plurality of simulation indexes of the power communication network to be evaluated and preset index thresholds corresponding to the simulation indexes are obtained; comparing the simulation results corresponding to the simulation indexes with the index thresholds corresponding to the simulation indexes, and determining the evaluation information of the simulation indexes; obtaining index weights corresponding to the simulation indexes; and obtaining the evaluation information aiming at the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index. According to the power communication network simulation evaluation method, corresponding index thresholds and index weights are introduced to different simulation indexes, and network performance evaluation of the power communication network is performed by utilizing simulation results corresponding to the simulation indexes and the index thresholds and the index weights.
Drawings
FIG. 1 is a flow chart of a power communication network simulation evaluation method in one embodiment;
FIG. 2 is a flow chart of obtaining index weights corresponding to each simulation index in one embodiment;
FIG. 3 is a flowchart of acquiring index weights corresponding to each simulation index in one embodiment;
FIG. 4 is a schematic diagram of an index hierarchy of simulation indexes of a power communication network according to an embodiment;
FIG. 5 is a flowchart of acquiring index weights corresponding to each simulation index in one embodiment;
FIG. 6 is a flow diagram of constructing a communication network model corresponding to a network topology in one embodiment;
FIG. 7 is a block diagram of a power communication network simulation evaluation apparatus in one embodiment;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, a power communication network simulation evaluation method is provided, where the method is applied to a terminal to illustrate the method, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
Step S101, a terminal obtains simulation results of a plurality of simulation indexes of a power communication network to be evaluated and preset index thresholds corresponding to the simulation indexes.
The power communication network to be evaluated refers to a power communication network to be subjected to simulation evaluation, and the simulation result is a power simulation result obtained after power simulation is performed on the power communication network, wherein the power simulation result can be composed of different simulation indexes, for example, after one simulation on the power communication network, the simulation results corresponding to various simulation indexes such as network flow, network jitter, network delay and the like can be obtained. The index threshold refers to an index threshold corresponding to each simulation index preset by the terminal, and the setting of the index threshold may be performed by a user according to needs, for example, the user may implement setting of the index threshold of each simulation index through an index threshold page displayed in the terminal.
Specifically, the terminal may perform power simulation on the power communication network to be subjected to performance evaluation, so as to obtain simulation results corresponding to different simulation indexes of the power communication network, and obtain index thresholds corresponding to different simulation indexes preset by a user respectively.
Step S102, the terminal compares the simulation results corresponding to the simulation indexes with the index threshold values corresponding to the simulation indexes, and determines the evaluation information of the simulation indexes.
And then, the terminal can compare the simulation result of each simulation index in the power communication network with the index threshold value of each simulation index based on the simulation result of each simulation index in the step S101, so as to determine the evaluation information of each simulation index of the power communication network, for example, the user can set a network delay threshold value for the terminal in advance for the network delay index, which can be 100ms, then the terminal can compare the simulation result with the set network delay threshold value for 100ms after obtaining the simulation result of the power communication network for the network delay, if the network delay in the simulation result is greater than the network delay threshold value for 100ms, the evaluation information of the network delay index can be indicated as disqualification of the network delay of the power communication network, and if the evaluation information of the network delay index is the network delay of the power communication network, the user can set a network jitter threshold value in advance for the network jitter index, which can be 20ms, then the terminal can compare the simulation result with the set network jitter threshold value for 20ms after obtaining the simulation result of the power communication network for the network jitter, and if the network delay in the simulation result is greater than the network jitter threshold value for 20ms, the evaluation information of the network delay for the network delay index is indicated as disqualification of the network jitter of the power communication network. The terminal can respectively compare the simulation result corresponding to each simulation index and the index threshold value corresponding to the simulation index, so that the evaluation information of each simulation index can be obtained, the evaluation information can be characterized in a scoring form, if the terminal determines that the evaluation information of a certain simulation index is qualified as the evaluation index, the scoring of the simulation index can be set to be full score, and if the evaluation index is unqualified, the scoring of the simulation index can be correspondingly deducted according to the simulation result of the simulation index, and the like.
Step S103, the terminal obtains the index weight corresponding to each simulation index.
The index weight is used for describing the influence degree of the simulation results of different simulation indexes on the network performance of the power communication network finally used for evaluation, and if the influence degree of the simulation indexes on the network performance of the power communication network is larger, the corresponding index weight is larger. The index weight may be that the user sets the terminal in advance, for example, the user may set a value corresponding to each index weight through an index weight setting page displayed on the terminal, or the terminal may allocate the index weight corresponding to each simulation index through a preset index weight allocation model, so that the terminal may obtain the index weight corresponding to each simulation index.
Step S104, the terminal obtains the evaluation information aiming at the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index.
Finally, the terminal may perform weighting processing based on the evaluation information of each simulation index and the index weight corresponding to each simulation index, so as to obtain the evaluation information of the power communication network to be evaluated, for example, the evaluation information of each simulation index may be performed weighting processing, so that the overall network score of the power communication network is used as the evaluation information of the power communication network.
In the above power communication network simulation evaluation method, a terminal is used to obtain simulation results of a plurality of simulation indexes of a power communication network to be evaluated, and preset index thresholds corresponding to the simulation indexes; comparing the simulation results corresponding to the simulation indexes with the index thresholds corresponding to the simulation indexes, and determining the evaluation information of the simulation indexes; obtaining index weights corresponding to the simulation indexes; and obtaining the evaluation information aiming at the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index. According to the power communication network simulation evaluation method, corresponding index thresholds and index weights are introduced to different simulation indexes through the terminal, and network performance evaluation of the power communication network is performed by utilizing simulation results corresponding to the simulation indexes and the index thresholds and the index weights.
In one embodiment, as shown in fig. 2, step S103 may further include:
step S201, the terminal acquires and displays a plurality of preset index weight distribution models.
The index weight distribution model is a mathematical model for realizing distribution of index weights corresponding to different simulation indexes, and the different index weight distribution models respectively correspond to different index weight distribution methods. Specifically, the terminal may be preset with a plurality of different index weight distribution models, and the plurality of index weight distribution models may be displayed by a display device of the terminal.
In step S202, the terminal determines, in response to a trigger operation for the presented multiple index weight distribution models, a target index weight distribution model that matches the trigger operation.
The triggering operation may be that the user selects one of the plurality of displayed index weight distribution models as the target index weight distribution model by selecting, specifically, in the process that the terminal displays the plurality of index weight distribution models, the user may trigger one of the plurality of displayed index weight distribution models to perform the triggering selection operation, and the terminal may respond to the triggering selection operation, find out an index weight distribution model matching the user-triggered selection operation from the plurality of index weight distribution models, as the target index weight distribution model.
In step S203, the terminal obtains the index weight corresponding to each simulation index by using the target index weight distribution model.
Finally, after the terminal obtains the target index weight distribution model, the weight distribution of the index weight corresponding to each simulation index can be executed according to the weight distribution mode of the target index weight distribution model, so that the index weight corresponding to each simulation index is obtained.
In this embodiment, the terminal may set and display a plurality of index weight allocation models corresponding to the allocation modes of the plurality of index weights in advance, and the user selects the mode of the target index weight allocation model to allocate the weights, so as to ensure the diversity of the weight allocation modes.
Further, the target index weight distribution model includes: a first distribution model for equally distributing the index weights corresponding to the simulation indexes; step S203 may further include: the terminal obtains the index number of a plurality of simulation indexes; and carrying out average distribution on the index weights corresponding to the simulation indexes according to the index number to obtain the index weights corresponding to the simulation indexes.
In this embodiment, the target index weight distribution model may be a first distribution model that equally distributes the index weights of the simulation indexes, where the index weights corresponding to the simulation indexes are the same in the first distribution model. Specifically, if the target index weight distribution model selected by the user is a first distribution model for equally distributing all the index weights, the terminal can determine the index numbers of all the simulation indexes and average distribute the index weights corresponding to each simulation index according to the index numbers, thereby obtaining the index weights corresponding to each simulation index. For example: the number of the simulation indexes is 10 in total, the terminal can perform average distribution on the index weights according to the index number, namely, the index weight corresponding to each simulation index is distributed to be 10%, and if the number of the simulation indexes is 4 in total, the terminal can distribute the index weight corresponding to each simulation index to be 25%.
In this embodiment, if the target index weight allocation model belongs to the first allocation model, the terminal may implement average allocation according to the number of indexes, thereby implementing equal allocation of index weights.
And, the target index weight distribution model may further include: a second distribution model for equally distributing the index weights corresponding to the simulation indexes according to the index level; as shown in fig. 3, step S203 may further include:
in step S301, the terminal determines the current simulation index and the current index level corresponding to the current simulation index.
In this embodiment, each of the simulation indexes may correspond to one index level, for example, the plurality of simulation indexes may include: the network bandwidth index, the link quality index and the network delay index are simulation indexes of a first index level, and the network bandwidth index and the link quality index can be used for evaluating the bandwidth of the network, so that the network bandwidth index can be used as the simulation indexes of the first index level, and the link bandwidth index and the link quality index can be used as the simulation indexes of a second index level corresponding to the network bandwidth index. The current simulation index may be any one of the simulation indexes, and the current index level refers to the index level where the current simulation index is located.
For example, the terminal may use the link bandwidth indicator as the current simulation indicator, then the terminal may determine an indicator level corresponding to the link bandwidth indicator, that is, the current indicator level is the second indicator level, and if the terminal uses the network delay indicator as the current simulation indicator, then the terminal may determine an indicator level corresponding to the network delay indicator, that is, the current indicator level is the first indicator level. By the mode, the terminal can obtain the network level corresponding to all the simulation indexes.
In step S302, the terminal obtains the level weight corresponding to the current index level and the number of current level indexes included in the current index level.
The level weights refer to all weights that can be allocated to the current index level, if the current index level is the first index level, that is, the index level with the highest level, the level weight corresponding to the current index level can be set to 100%, that is, 100% of the index weights can be allocated to each simulation index in the first index level, and if the current index level is not the index level with the highest level, the level weight corresponding to the current index level can be set to the weight of the simulation index of the last index level corresponding to the current index level, for example, for the link bandwidth index, the current index level belongs to the second index level, and the simulation index of the last index level is the network bandwidth index, then the weight of the network bandwidth index can be used as the level weight of the current index level corresponding to the link bandwidth index. The number of the current level indexes refers to the number of the simulation indexes in the same index level as the current simulation indexes.
Step S303, the terminal performs average distribution on the level weights according to the number of the current level indexes to obtain index weights corresponding to the current simulation indexes.
And finally, the terminal can average distribute the level weight of the current simulation index according to the number of the current level indexes, so as to obtain the index weight corresponding to the final current simulation index.
In the above example, as shown in fig. 4, the simulation index obtained by the simulation may include: when the network time delay index is the first index level and the simulation index of the last index level corresponding to the first index level is the network bandwidth index of the first index level, if the network time delay index is the current simulation index, the corresponding current index level is the first index level, the corresponding level weight is 100%, and the number of the current level indexes can comprise two of the network time delay index and the network bandwidth index, so that the corresponding index weight is 50%. If the link bandwidth index or the link quality index is used as the current simulation index, the corresponding current index level is the second index level, the corresponding level weight can be set to be the weight of the simulation index of the previous index level, namely, the weight of the network bandwidth index is 50%, and the number of the current level indexes can comprise two of the link bandwidth index and the link quality index, so that the index weight of the link bandwidth index or the link quality index can be set to be 25%.
In this embodiment, if the target index weight distribution model belongs to the second distribution model, the terminal may further distribute the index weights according to the index level of the simulation index, so as to implement equal distribution according to the index level.
In addition, the target index weight distribution model may further include: a third distribution model for distributing the index weights corresponding to the simulation indexes according to the evaluation quantization degree; as shown in fig. 5, step S203 may further include:
step S501, a terminal determines a current simulation index;
step S502, the terminal determines an estimated quantization degree coefficient corresponding to the current simulation index based on the relative estimated quantization degrees between the current simulation index and each simulation index.
In this embodiment, if the target index weight distribution model is a third distribution model for distributing the index weights corresponding to the simulation indexes according to the estimated quantization degrees, the terminal may further distribute weights according to the estimated quantization degrees of the power communication network between the simulation indexes, so as to reflect the influence degrees of different simulation indexes on the network performance of the power communication network. In general, if the influence degree of a certain simulation index on the network performance of the power communication network is greater than that of another simulation index, the corresponding index weight should be greater than that of the other simulation index, and the difference of the influence degree of the index weights of the two simulation indexes on the network performance of the power communication network can be represented by the relative evaluation quantization degree between the two simulation indexes, and the evaluation quantization coefficient can be a numerical representation of the relative evaluation quantization degree.
Specifically, the terminal may determine one from a plurality of simulation indexes as a current simulation index, determine a relative evaluation quantization degree between the current simulation index and each simulation index according to the influence degree of the current simulation index and each simulation index on evaluation information of the power communication network, and obtain a corresponding evaluation quantization degree coefficient by using the relative evaluation quantization degree, where the evaluation quantization degree coefficient may be obtained by calculating in multiple manners, such as a analytic hierarchy process, a ring ratio analysis process, and an order graph process.
In step S503, the terminal obtains the estimated quantization degree coefficients corresponding to each simulation index, and performs summation processing on the estimated quantization degree coefficients corresponding to each simulation index to obtain an estimated quantization degree total coefficient.
The estimated quantization level total coefficient refers to the sum of all estimated quantization level coefficients. Through the manner of step S502, the terminal may obtain the estimated quantization degree coefficients of all the simulation indexes, and then may perform summation processing on the estimated quantization degree coefficients of all the simulation indexes, so as to obtain the estimated quantization degree total coefficient.
In step S504, the terminal uses the ratio of the estimated quantization level coefficient corresponding to the current simulation index and the total estimated quantization level coefficient as the index weight corresponding to the current simulation index.
And finally, the terminal can also calculate the ratio of the estimated quantized degree coefficient corresponding to the current simulation index to the estimated quantized degree total coefficient, and take the ratio as the index weight corresponding to the current simulation index.
Taking the ring ratio analysis method as an example, if the plurality of simulation indexes include a simulation index a and a simulation index B, and the influence degree of the simulation index a on the evaluation information of the power communication network is 1.5 times of the influence degree of the simulation index B on the evaluation information of the power communication network, then the terminal may set an evaluation quantization coefficient 1.5 for the simulation index a, and set an evaluation quantization coefficient 1 for the simulation index B, and the total evaluation quantization coefficient is 2.5 at this time, then the index weight corresponding to the simulation index a is the ratio of the evaluation quantization coefficient 1.5 to the total evaluation quantization coefficient 2.5, namely 60%, and the index weight corresponding to the simulation index B is the ratio of the evaluation quantization coefficient 1 to the total evaluation quantization coefficient 2.5, namely 40%.
In this embodiment, the terminal may further implement, through the third allocation model, allocation of the index weight according to the influence degree of the simulation index on the evaluation information of the power communication network, so as to further improve accuracy of the evaluation information of the power communication network.
In one embodiment, step S101 may further include: the terminal acquires the network topology of the power communication network, and constructs a communication network model corresponding to the network topology according to the network topology; and simulating the communication network model by using a preset simulation system to obtain simulation results of a plurality of simulation indexes aiming at the communication network model.
The network topology refers to a network topology model of a power communication network which needs to be subjected to network evaluation, and the communication network model refers to a power simulation model used when the power communication network is simulated. Specifically, when a user needs to perform network evaluation analysis on the power communication network, the network topology of the power communication network performing the network evaluation needs to be obtained first, and a corresponding communication network model for simulation is constructed according to the obtained network topology through the terminal. Then, the terminal may execute the power simulation of the communication network model by using a preset simulation system for performing network model simulation, for example, may be an opnet simulation technology software, so as to obtain simulation results of multiple simulation indexes of the communication network model, which are used as simulation results of multiple simulation indexes of the power communication network to be evaluated.
Further, as shown in fig. 6, the terminal builds a communication network model corresponding to the network topology according to the network topology, and may further include:
in step S601, the terminal acquires communication device models of a plurality of communication nodes constituting the power communication network and connection information of the plurality of communication nodes according to the network topology.
The power communication network is formed by connecting communication nodes composed of a plurality of power communication devices, and thus in the network topology of the power communication network, the communication device model numbers of the power communication devices forming the power communication network and connection information between the respective power communication devices can be stored. Specifically, after obtaining the network topology of the power communication network, the terminal may determine, based on the obtained network topology, a communication device model of the power communication device corresponding to each communication node constituting the power communication network, and connection information between the communication nodes.
In step S602, the terminal obtains a node model corresponding to each communication node from a simulation model library constructed in advance by using the communication device model.
The simulation model library is a model library which is constructed in advance and used for simulation, and the model library is composed of a plurality of simulation equipment models and is respectively used for representing different power communication equipment. Specifically, after obtaining the communication device model of the power communication device constructing the power communication network in step S601, the terminal may find, from the simulation model library, a simulation device model corresponding to the communication device model based on the communication device model of the power communication device on each communication node, and use the simulation device model as the node model corresponding to each communication node.
In step S603, the terminal connects the node models corresponding to the communication nodes according to the connection information, and constructs a communication network model.
Finally, the terminal may connect the node models corresponding to the communication nodes obtained in step S602 by using a connection manner between the plurality of communication nodes, so as to construct a communication network model adapted to the network topology of the power communication network to be evaluated.
In this embodiment, a communication network model may be constructed through a network topology of the power communication network, and a simulation system is used to simulate the communication network model, and meanwhile, the communication network model is constructed according to a communication device model and connection information in the network topology of the power communication network, so that the construction efficiency of the communication network model may be improved on the premise of ensuring the accuracy of the constructed communication network model.
It should be understood that, although the steps in the flowcharts of this application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in the figures may include steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the steps or stages in other steps.
In one embodiment, as shown in fig. 7, there is provided a power communication network simulation evaluation apparatus including: a simulation result acquisition module 701, a simulation index evaluation module 702, an index weight acquisition module 703 and a power network evaluation module 704, wherein:
the simulation result obtaining module 701 is configured to obtain simulation results of a plurality of simulation indexes of the power communication network to be evaluated, and preset index thresholds corresponding to the simulation indexes;
the simulation index evaluation module 702 is configured to compare a simulation result corresponding to each simulation index with an index threshold corresponding to each simulation index, and determine evaluation information of each simulation index;
an index weight obtaining module 703, configured to obtain an index weight corresponding to each simulation index;
the power network evaluation module 704 is configured to obtain evaluation information for the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index.
In one embodiment, the index weight obtaining module 703 is further configured to obtain and display a preset plurality of index weight distribution models; determining a target index weight distribution model matched with the triggering operation in response to the triggering operation aiming at the displayed multiple index weight distribution models; and obtaining the index weight corresponding to each simulation index by using the target index weight distribution model.
In one embodiment, the target index weight assignment model includes: a first distribution model for equally distributing the index weights corresponding to the simulation indexes; the index weight obtaining module 703 is further configured to obtain the number of indexes of the plurality of simulation indexes; and carrying out average distribution on the index weights corresponding to the simulation indexes according to the index number to obtain the index weights corresponding to the simulation indexes.
In one embodiment, the target index weight assignment model includes: a second distribution model for equally distributing the index weights corresponding to the simulation indexes according to the index level; the index weight obtaining module 703 is further configured to determine a current simulation index and a current index level corresponding to the current simulation index; acquiring the level weight corresponding to the current index level and the number of current level indexes contained in the current index level; and according to the number of the indexes of the current hierarchy, carrying out average distribution on the weights of the hierarchy to obtain the index weights corresponding to the current simulation indexes.
In one embodiment, the target index weight assignment model includes: a third distribution model for distributing the index weights corresponding to the simulation indexes according to the evaluation quantization degree; the index weight obtaining module 703 is further configured to determine a current simulation index; determining an estimated quantization degree coefficient corresponding to the current simulation index based on the relative estimated quantization degree between the current simulation index and each simulation index; obtaining the estimated quantized degree coefficient corresponding to each simulation index, and carrying out summation treatment on the estimated quantized degree coefficient corresponding to each simulation index to obtain an estimated quantized degree total coefficient; and taking the ratio of the estimated quantized degree coefficient corresponding to the current simulation index and the estimated quantized degree total coefficient as the index weight corresponding to the current simulation index.
In one embodiment, the simulation result obtaining module 701 is further configured to obtain a network topology of the power communication network, and construct a communication network model corresponding to the network topology according to the network topology; and simulating the communication network model by using a preset simulation system to obtain simulation results of a plurality of simulation indexes aiming at the communication network model.
In one embodiment, the simulation result obtaining module 701 is further configured to obtain, according to a network topology, communication device models of a plurality of communication nodes that form the power communication network, and connection information of the plurality of communication nodes; obtaining node models corresponding to all communication nodes from a pre-constructed simulation model library by using the model of the communication equipment; and connecting the node models corresponding to the communication nodes according to the connection information to construct a communication network model.
The specific limitation of the power communication network simulation evaluation device can be referred to the limitation of the power communication network simulation evaluation method hereinabove, and the description thereof will not be repeated here. The above-described respective modules in the power communication network simulation evaluation apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 8. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program, when executed by a processor, implements a power communication network simulation assessment method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 8 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (9)

1. A method for power communication network simulation assessment, the method comprising:
acquiring simulation results of a plurality of simulation indexes of the power communication network to be evaluated and preset index thresholds corresponding to the simulation indexes;
comparing the simulation results corresponding to the simulation indexes with the index thresholds corresponding to the simulation indexes, and determining the evaluation information of the simulation indexes;
Acquiring index weights corresponding to the simulation indexes;
obtaining evaluation information aiming at the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index;
the method for obtaining the simulation results of the multiple simulation indexes of the power communication network to be evaluated comprises the following steps:
acquiring the network topology of the power communication network, and constructing a communication network model corresponding to the network topology according to the network topology;
and simulating the communication network model by using a preset simulation system to obtain simulation results of a plurality of simulation indexes aiming at the communication network model.
2. The method of claim 1, wherein the obtaining the index weight corresponding to each simulation index comprises:
acquiring and displaying a plurality of preset index weight distribution models;
determining a target index weight distribution model matched with a triggering operation in response to the triggering operation of the plurality of index weight distribution models;
and obtaining the index weight corresponding to each simulation index by using the target index weight distribution model.
3. The method of claim 2, wherein the target index weight assignment model comprises: a first distribution model for equally distributing the index weights corresponding to the simulation indexes;
The obtaining the index weight corresponding to each simulation index by using the target index weight distribution model comprises the following steps:
acquiring the index number of the plurality of simulation indexes;
and carrying out average distribution on the index weights corresponding to the simulation indexes according to the index number to obtain the index weights corresponding to the simulation indexes.
4. The method of claim 2, wherein the target index weight assignment model comprises: a second distribution model for equally distributing the index weights corresponding to the simulation indexes according to the index level;
determining a current simulation index and a current index level corresponding to the current simulation index;
acquiring the level weight corresponding to the current index level and the number of current level indexes contained in the current index level;
and carrying out average distribution on the level weights according to the number of the current level indexes to obtain index weights corresponding to the current simulation indexes.
5. The method of claim 2, wherein the target index weight assignment model comprises: a third distribution model for distributing the index weights corresponding to the simulation indexes according to the evaluation quantization degree;
Determining a current simulation index;
determining an estimated quantization degree coefficient corresponding to the current simulation index based on the relative estimated quantization degree between the current simulation index and each simulation index;
obtaining estimated quantized degree coefficients corresponding to each simulation index, and summing the estimated quantized degree coefficients corresponding to each simulation index to obtain an estimated quantized degree total coefficient;
and taking the ratio of the estimated quantization degree coefficient corresponding to the current simulation index and the estimated quantization degree total coefficient as the index weight corresponding to the current simulation index.
6. The method of claim 1, wherein said constructing a communication network model corresponding to said network topology from said network topology comprises:
acquiring communication equipment models of a plurality of communication nodes forming the power communication network and connection information of the plurality of communication nodes according to the network topology;
acquiring a node model corresponding to each communication node from a pre-constructed simulation model library by using the communication equipment model;
and connecting the node models corresponding to the communication nodes according to the connection information to construct the communication network model.
7. An electrical power communication network simulation evaluating apparatus, the apparatus comprising:
the simulation result acquisition module is used for acquiring simulation results of a plurality of simulation indexes of the power communication network to be evaluated and preset index thresholds corresponding to the simulation indexes;
the simulation index evaluation module is used for comparing the simulation results corresponding to the simulation indexes with index thresholds corresponding to the simulation indexes to determine evaluation information of the simulation indexes;
the index weight acquisition module is used for acquiring the index weight corresponding to each simulation index;
the power network evaluation module is used for obtaining evaluation information aiming at the power communication network according to the index weight of each simulation index and the evaluation information of each simulation index;
the simulation result acquisition module is used for acquiring the network topology of the power communication network and constructing a communication network model corresponding to the network topology according to the network topology; and simulating the communication network model by using a preset simulation system to obtain simulation results of a plurality of simulation indexes aiming at the communication network model.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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