A method and device for configuring resources

Abstract

The present invention discloses a resource configuration method and device, the method comprising: obtaining power Internet of Things network data and terminal resource data, calculating the importance evaluation index of the data access node in the power Internet of Things network according to the power Internet of Things network data, determining the comprehensive weight corresponding to the evaluation index by means of the hierarchical analysis method and the entropy weight method, combining the evaluation index and the comprehensive weight, calculating the comprehensive importance corresponding to the node, and obtaining the configuration resource corresponding to the node based on the comprehensive importance and combining the terminal resource data. The present invention adopts a resource configuration method, and the resource configuration is relatively flexible and efficient, which is conducive to the safe and reliable operation of the power system.

Description

Technical Field

[0001] The present invention relates to the field of configuring power Internet of Things resources, and in particular to a resource configuration method and device. Background Art

[0002] In the process of actively promoting the construction of the power Internet of Things in my country, the types and number of access objects of the power Internet of Things have increased dramatically. Charging piles, distributed energy storage, smart meters, switches, sensors, etc. have been widely accessed, resulting in the diversity and heterogeneity of power network data, and also leading to a surge in the amount of data to be processed, which puts forward new requirements for data access and processing. The current centralized cloud infrastructure is geographically far away from the power Internet of Things terminal devices. The power Internet of Things terminal devices need to upload application services to the distant cloud through multiple networks for execution and interact through network connections. Due to the power grid operation management and the energy needs of power users, data and application requests frequently flow in the transmission network, increasing the burden on the core network, which may cause blockage of the key path, causing high transmission delays, reducing the real-time response of the service, and thus affecting the availability of the power Internet of Things service. In addition, the power Internet of Things devices have a wide coverage and the location of the devices is complex. For example, smart meters in some dense residential areas cannot improve network performance by strengthening network connections. Therefore, it is difficult to handle the multi-source heterogeneous power Internet of Things application service needs by relying solely on remote cloud computing centers. Smart terminal technology is closer to the data source and can provide low-latency and high-reliability data processing. It configures resources close to the user to localize application services that are sensitive to latency and require large amounts of computing resources. On the one hand, it can meet some or even all of the application service needs of power IoT terminals, and on the other hand, it can reduce backhaul bandwidth requirements and reduce operating costs.

[0003] Based on the diverse heterogeneity of power Internet of Things data and the surge in the amount of data to be processed, it is very important to evaluate the importance of access data of integrated intelligent terminals to identify key data. The importance of data access is evaluated. First, since the resources that integrated intelligent terminals can provide are limited, that is, their processing capabilities are limited. If resources are used to process data with higher importance first, it will be conducive to the reliable and stable operation of the system, avoiding the impact of important data not being processed in time on system operation, and at the same time, it can also achieve the most efficient use of resources; second, due to different processing requirements for different data access, that is, different data access has different priorities, a certain method must be adopted to evaluate and sort the importance of data access.

[0004] At present, the method of configuring the computing resources of the terminal based on the computing load is a common method, which is relatively objective. However, this resource configuration method does not process data in a targeted manner, and the resource configuration is not flexible and efficient enough, and cannot maximize the utilization of resources, and cannot well meet the expectation of reasonable resource configuration.

[0005] Therefore, in order to improve the efficiency of resource allocation and solve the technical problem that the current resource allocation method is not flexible and efficient enough to maximize the utilization of resources, it is urgent to construct a resource allocation method. Summary of the invention

[0006] The present invention provides a resource configuration method and device, which solves the technical problem that the existing resource configuration method is not flexible and efficient enough, resulting in failure to maximize resource utilization.

[0007] In a first aspect, the present invention provides a method for configuring resources, comprising:

[0008] Obtain power Internet of Things network data and terminal resource data;

[0009] According to the electric power Internet of Things network data, an importance evaluation index of a data access node in the electric power Internet of Things network is calculated;

[0010] Determine the comprehensive weights corresponding to the evaluation indicators through the hierarchical analysis method and the entropy weight method;

[0011] Combining the evaluation index and the comprehensive weight, calculating the comprehensive importance corresponding to the node;

[0012] Based on the comprehensive importance and in combination with the terminal resource data, the configuration resources corresponding to the node are obtained.

[0013] Optionally, according to the electric power Internet of Things network data, importance evaluation indicators are calculated, including:

[0014] According to the electric power Internet of Things network data, the node topology importance, the business type importance and the data demand importance of the data access node in the electric power Internet of Things network are calculated;

[0015] Summarizing the node topology importance, the service type importance, and the data demand importance to obtain the importance evaluation index;

[0016] Optionally, according to the electric power Internet of Things network data, calculating the node topology importance, business type importance and data demand importance of the data access node in the electric power Internet of Things network, including:

[0017] According to the electric power Internet of Things network data, combined with the location of the node and the topological structure of the electric power Internet of Things network, the node topological importance of the node is calculated;

[0018] Based on the type of the electric power Internet of Things network data, calculate the importance of the business type of the node;

[0019] According to the demand size of the terminal resources, the power Internet of Things network data is calculated to obtain the data demand importance of the node.

[0020] Optionally, the comprehensive weight of the evaluation index is determined by using the analytic hierarchy process and the entropy weight method, including:

[0021] By means of the analytic hierarchy process, the subjective weight corresponding to the evaluation index is calculated;

[0022] By using the entropy weight method, the objective weight corresponding to the evaluation index is calculated;

[0023] Based on the subjective weight and the objective weight, the comprehensive weight corresponding to the evaluation index is calculated.

[0024] Optionally, obtaining the configuration resources of the node based on the comprehensive importance and in combination with the terminal resource data includes:

[0025] Determining the number of intelligent terminals based on the terminal resource data;

[0026] The configuration resources of the node are calculated based on the number of nodes and the comprehensive importance.

[0027] In a second aspect, the present invention provides a resource configuration device, comprising:

[0028] The acquisition module is used to obtain the power Internet of Things network data and terminal resource data;

[0029] An indicator module, used to calculate the importance evaluation index of the data access node in the power Internet of Things network according to the power Internet of Things network data;

[0030] A weight module is used to determine the comprehensive weight corresponding to the evaluation index through the hierarchical analysis method and the entropy weight method;

[0031] An importance module, used to calculate the comprehensive importance corresponding to the node by combining the evaluation index and the comprehensive weight;

[0032] A configuration module is used to obtain configuration resources corresponding to the node based on the comprehensive importance and in combination with the terminal resource data.

[0033] Optionally, the indicator module includes:

[0034] A calculation submodule, used to calculate the node topology importance, business type importance and data demand importance of the data access node in the power Internet of Things network according to the power Internet of Things network data;

[0035] A summary submodule, used to summarize the node topology importance, the business type importance and the data demand importance to obtain the importance evaluation index;

[0036] Optionally, the calculation submodule includes:

[0037] A topology unit, configured to calculate the node topology importance of the node according to the electric power Internet of Things network data, in combination with the location of the node and the topological structure of the electric power Internet of Things network;

[0038] A type unit, used to calculate the importance of the business type of the node based on the type of the electric power Internet of Things network data;

[0039] The demand unit is used to calculate the power Internet of Things network data according to the demand size of the terminal resources to obtain the data demand importance of the node.

[0040] Optionally, the weight module includes:

[0041] The subjective submodule is used to calculate the subjective weight corresponding to the evaluation index through the analytic hierarchy process;

[0042] An objective submodule, used to calculate the objective weight corresponding to the evaluation index through the entropy weight method;

[0043] The comprehensive submodule is used to calculate the comprehensive weight corresponding to the evaluation index based on the subjective weight and the objective weight.

[0044] Optionally, the configuration module includes:

[0045] A terminal submodule, used to determine the number of intelligent terminals based on the terminal resource data;

[0046] The configuration submodule is used to calculate the configuration resources of the node according to the number of nodes and the comprehensive importance.

[0047] It can be seen from the above technical scheme that the present invention has the following advantages: the present invention provides a resource configuration method, by obtaining power Internet of Things network data and terminal resource data, according to the power Internet of Things network data, calculate the importance evaluation index of the data access node in the power Internet of Things network, determine the comprehensive weight corresponding to the evaluation index by hierarchical analysis method and entropy weight method, combine the evaluation index and the comprehensive weight, calculate the comprehensive importance corresponding to the node, based on the comprehensive importance, combined with the terminal resource data, obtain the configuration resources corresponding to the node, through a resource configuration method, solve the technical problem that the current resource configuration method is not flexible and efficient enough, resulting in the inability to maximize the utilization of resources, resource configuration is relatively flexible and efficient, which is conducive to the safe and reliable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0049] Figure 1 A flowchart of a resource configuration method embodiment 1 of the present invention;

[0050] Figure 2 This is a flow chart of a second embodiment of a resource configuration method of the present invention;

[0051] Figure 3 A structural topology diagram of an intelligent terminal system of the present invention;

[0052] Figure 4 It is a structural block diagram of an embodiment of a resource configuration device of the present invention. DETAILED DESCRIPTION

[0053] The embodiments of the present invention provide a resource configuration method and device, which are used to solve the technical problem that the existing resource configuration method is not flexible and efficient enough, resulting in failure to maximize resource utilization.

[0054] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] For example, see Figure 1 , Figure 1 The flowchart of the first embodiment of a resource configuration method of the present invention includes:

[0056] Step S101, obtaining power Internet of Things network data and terminal resource data;

[0057] Step S102, calculating an importance evaluation index of a data access node in the power Internet of Things network according to the power Internet of Things network data;

[0058] Step S103, determining the comprehensive weight corresponding to the evaluation index by using the hierarchical analysis method and the entropy weight method;

[0059] It should be noted that the hierarchical analysis method refers to treating a complex multi-objective decision-making problem as a system, decomposing the goal into multiple goals or criteria, and then decomposing it into several levels of multiple indicators (or criteria, constraints), and calculating the single ranking (weight) and total ranking of the levels through the fuzzy quantification method of qualitative indicators, as a systematic method for optimizing decision-making with goals (multiple indicators) and multiple plans.

[0060] The entropy weight method is an objective weighting method that reflects the weight of an indicator through the amount of information of each indicator. The entropy weight of each indicator is determined by using information entropy, and the weight obtained by the entropy weight method is used to correct the subjective weight to obtain an objective comprehensive weight. According to the explanation of the basic principles of information theory, information is a measure of the degree of order of a system, and entropy is a measure of the degree of disorder of a system; according to the definition of information entropy, for a certain indicator, the entropy value can be used to judge the degree of dispersion of a certain indicator. The smaller the information entropy value, the greater the degree of dispersion of the indicator, and the greater the influence of the indicator on the comprehensive evaluation (i.e., weight). If the values ​​of a certain indicator are all equal, then the indicator has no effect in the comprehensive evaluation. Therefore, the information entropy tool can be used to calculate the weight of each indicator to provide a basis for the comprehensive evaluation of multiple indicators.

[0061] Step S104, combining the evaluation index and the comprehensive weight, calculating the comprehensive importance corresponding to the node;

[0062] Step S105: Based on the comprehensive importance and in combination with the terminal resource data, obtain the configuration resources corresponding to the node.

[0063] In a resource configuration method provided in an embodiment of the present invention, by acquiring power Internet of Things network data and terminal resource data, according to the power Internet of Things network data, an importance evaluation index of the data access node in the power Internet of Things network is calculated, and the comprehensive weight corresponding to the evaluation index is determined by the hierarchical analysis method and the entropy weight method, and the comprehensive importance corresponding to the node is calculated by combining the evaluation index and the comprehensive weight, and the configuration resource corresponding to the node is obtained based on the comprehensive importance and combined with the terminal resource data. Through a resource configuration method, the technical problem that the current resource configuration method is not flexible and efficient enough and thus cannot maximize the utilization of resources is solved, and the resource configuration is more flexible and efficient, which is conducive to the safe and reliable operation of the power system.

[0064] For example 2, please refer to Figure 2 , Figure 2 A flowchart of a resource configuration method of the present invention includes:

[0065] Step S201, obtaining power Internet of Things network data and terminal resource data;

[0066] Step S202, calculating the node topology importance, service type importance and data demand importance of the data access node in the power Internet of Things network according to the power Internet of Things network data;

[0067] In an optional embodiment, according to the electric power Internet of Things network data, the node topology importance, the service type importance and the data demand importance of the data access node in the electric power Internet of Things network are calculated, including:

[0068] According to the electric power Internet of Things network data, combined with the location of the node and the topological structure of the electric power Internet of Things network, the node topological importance of the node is calculated;

[0069] Based on the type of the electric power Internet of Things network data, calculate the importance of the business type of the node;

[0070] According to the demand size of the terminal resources, the power Internet of Things network data is calculated to obtain the data demand importance of the node.

[0071] In an embodiment of the present invention, based on the electric power Internet of Things network data, combined with the location of the node and the topological structure of the electric power Internet of Things network, the node topological importance of the node is calculated, based on the type of the electric power Internet of Things network data, the business type importance of the node is calculated, and according to the demand size of the terminal resources, the electric power Internet of Things network data is calculated to obtain the data demand importance of the node.

[0072] In the specific implementation, the node topology importance, business type importance, and data demand importance of the data access node are selected as evaluation indicators, and the node topology importance, business type importance, and data demand importance of the data access node are calculated respectively.

[0073] The importance of node data access is related to the location of the node in the distribution network and the power network topology. The nodes in the distribution network do not exist in isolation, but are affected by other nodes. The importance of a node is not only related to the degree of the node in the power network topology, but also to the degree of dependence of the distribution network nodes within the two-hop area of ​​the node in the distribution network topology. The Jaccard index value is used to define the topological overlap between distribution network nodes, and its expression is:

[0074]

[0075] Among them, a and b are the neighbor nodes of a distribution network node, N(a) and N(b) are the neighbor nodes of node a and node b respectively, and J is between 0 and 1. The higher the local overlap of the node's neighbor nodes, the larger the J value. The more neighbor nodes a node has and the fewer the intersections of the neighbor nodes between the node's neighbor nodes, the more difficult it is for the node to be replaced by other nodes in the network, and the higher the importance of the node. The expression of the node topology importance index S(i) is:

[0076]

[0077] Where N(i) is the set of neighbor nodes of node i; S(i) is the topological importance of node i. The topological importance of each node can be calculated based on the network topology.

[0078] As a special complex network structure, the power Internet of Things has its own unique industry background. The topological importance of data access nodes only distinguishes the importance of the connection and location of nodes in the network from the topological structure of the network. Each node in the distribution network is responsible for a large number of different types of data access related to the power grid, among which each substation mainly includes current, temperature, environment, transaction, video surveillance and other types of data. When evaluating the importance of data access, the importance of various types of access data is measured as an indicator. The classification and importance of different access data are shown in Table 1.

[0079] Table 1

[0080]

[0081] The processing of access data in smart terminals requires certain resources, such as CPU, memory, bandwidth, and storage. The higher the requirements for CPU, memory, bandwidth, and storage, the more important the data is. The demand for smart terminal resources for each data access is used as an important factor affecting the importance of data. For each of the above four types of resource requirements, a benchmark value is taken, such as c o 、r o 、b o 、s o The data access requirements of each node for CPU, memory, bandwidth and storage are c i 、r i 、b i 、s i The sum of the ratios to the benchmark value indicates the importance of data requirements.

[0082] Step S203, summarizing the node topology importance, the service type importance and the data demand importance to obtain an importance evaluation index;

[0083] Step S204, calculating the subjective weight corresponding to the evaluation index through the hierarchical analysis method;

[0084] In the embodiment of the present invention, the subjective weight corresponding to the evaluation index is calculated by the analytic hierarchy process.

[0085] In the specific implementation, the steps of the hierarchical analysis method are: first, a comparison matrix C is constructed, and then a judgment matrix R is obtained through corresponding transformation. After verification and consistency, the subjective weight of each indicator is obtained.

[0086] The matrix C is represented as:

[0087]

[0088] The consistency judgment matrix is ​​obtained from the comparison matrix C, that is:

[0089]

[0090] in,

[0091] If the judgment matrix satisfies the consistency test, the subjective weight of each indicator is obtained as follows:

[0092]

[0093] Among them, w cj is the subjective weight, r is the memory requirement, i is the i-th requirement, and j is the j-th requirement.

[0094] Step S205, calculating the objective weight corresponding to the evaluation index by using the entropy weight method;

[0095] In the embodiment of the present invention, the objective weight corresponding to the evaluation index is calculated using the entropy weight method.

[0096] In specific implementation, the entropy weight method is an objective weighting method that reflects the weight of indicators through the amount of information of each indicator. The entropy weight of each indicator is determined by using information entropy, and the weight obtained by the entropy weight method is used to correct the subjective weight to obtain an objective comprehensive weight.

[0097] First, the data access of each node in the network is taken as an evaluation object. There are n evaluation objects and m evaluation indicators. The jth indicator value of object i is represented by x ij (where i = 1, 2, ..., n, j = 1, 2, ..., m), the evaluation matrix X = [x ij ] n×m ,Right now

[0098]

[0099] Secondly, the evaluation matrix is ​​normalized, that is,

[0100]

[0101] in, Then the entropy value E of index j is j for

[0102]

[0103] Wherein, k is a constant, k = 1 / lnn; And when p ij =0, p ij =p ij lnp ij =0.

[0104] Again, the entropy weight of each indicator is:

[0105]

[0106] Among them, w sj is the objective weight, E is the entropy value, k is a constant, k = 1 / lnn.

[0107] Step S206, calculating a comprehensive weight corresponding to the evaluation index based on the subjective weight and the objective weight;

[0108] In the embodiment of the present invention, the subjective weight and the objective weight are combined to calculate the comprehensive weight corresponding to the evaluation index.

[0109] In the specific implementation, the weight of the analytic hierarchy process and the weight of the entropy weight method are combined to obtain the comprehensive weight, where the comprehensive weight of each indicator is:

[0110]

[0111] Among them, w is the comprehensive weight, w c is the subjective weight, w s is the objective weight.

[0112] Step S207, combining the evaluation index and the comprehensive weight, and calculating the comprehensive importance corresponding to the node.

[0113] In the embodiment of the present invention, the comprehensive importance corresponding to the node is calculated by combining the evaluation index and the comprehensive weight.

[0114] In the specific implementation, the comprehensive importance of the jth node in the i-th station area is calculated according to the importance of each node under each indicator and its corresponding comprehensive weight:

[0115] I ij =w 1 d i1 +w 2 d i2 +w 3 d i3

[0116] Among them, I is the comprehensive importance, w is the comprehensive weight, and d is x is the evaluation matrix.

[0117] Thus, the importance ranking of smart terminal data access can be obtained.

[0118] Step S208, determining the number of intelligent terminals based on the terminal resource data;

[0119] In an embodiment of the present invention, the number of intelligent terminals is determined based on the terminal resource data;

[0120] In the specific implementation, see Figure 3 , Figure 3 It is a structural topology diagram of an intelligent terminal system of the present invention, wherein 301 is substation 1, 302 is substation 2, 303 is substation 3, 304 is a data node, 305 is an intelligent terminal, 306 is a communication link, 307 is a cloud master station, 308 is a substation, and 309 is a power line.

[0121] According to the total data demand in each area, resources are allocated in each area to determine the number of smart terminals required. Let the data input importance of the i-th area be the sum of the data input importance of each node in the area, denoted as I i, the sum of the importance of data input in each area is I, that is,

[0122]

[0123]

[0124] Among them, I is the sum of importance, I i is the importance of the ith station.

[0125] Assume that the CPU, memory, bandwidth and storage resources provided by each integrated intelligent terminal are: C 0 , R 0 , B 0 and S 0 Therefore, the minimum number of integrated intelligent terminals required for each area of ​​the system is:

[0126]

[0127] Among them, K is the total number of integrated intelligent terminals in the system, C 0 is the available CPU resources, R 0 To provide memory resources, B 0 To provide bandwidth resources and S 0 To provide storage resources.

[0128] According to the resource requirements of each area for accessing the integrated intelligent terminal, the resources configured for each area are S i .

[0129] S i (c i ,r i ,b i ,s i ) = k i {C 0 R 0 B 0 S 0},i=1,2,…,m

[0130] Among them, S i The resources allocated for each station area, C 0 is the available CPU resources, R 0 To provide memory resources, B 0 To provide bandwidth resources and S 0 To provide storage resources, c i is the CPU resource requirement, r i is the memory resource requirement, b i is the bandwidth resource requirement, s i For storage resource requirements.

[0131] Step S209: Calculate the configuration resources of the node according to the number of nodes and the comprehensive importance.

[0132] In the embodiment of the present invention, the configuration resources of the node are calculated based on the number of nodes and the comprehensive importance.

[0133] In the specific implementation, the resources in the integrated intelligent terminal in each area are used to process the access data according to the data access importance of each node. The resources required to process the data accessed by the jth data access node in the i-th area are represented as S ij (c i ,r i ,b i ,s i ),have

[0134] δ ij =I ij / I i ,j=1,2,...,n

[0135]

[0136] S ij (c i ,r i ,b i ,s i )={c ij r ij b ij s ij}+δ ij ΔS ij (c i ,r i ,b i ,s i )

[0137] Among them, S ij is the resource required to be allocated to the jth data access node in the i-th area, K is the total number of integrated intelligent terminals in the system, c i is the CPU resource requirement, r i is the memory resource requirement, b i is the bandwidth resource requirement, s i is the storage resource requirement, δ ij is the importance ratio, and I is the comprehensive importance.

[0138] In a resource configuration method provided in an embodiment of the present invention, by acquiring power Internet of Things network data and terminal resource data, according to the power Internet of Things network data, an importance evaluation index of the data access node in the power Internet of Things network is calculated, and the comprehensive weight corresponding to the evaluation index is determined by the hierarchical analysis method and the entropy weight method, and the comprehensive importance corresponding to the node is calculated by combining the evaluation index and the comprehensive weight, and the configuration resource corresponding to the node is obtained based on the comprehensive importance and combined with the terminal resource data. Through a resource configuration method, the technical problem that the current resource configuration method is not flexible and efficient enough and thus cannot maximize the utilization of resources is solved, and the resource configuration is more flexible and efficient, which is conducive to the safe and reliable operation of the power system.

[0139] See also Figure 4 , Figure 4 A structural block diagram of an embodiment of a resource configuration device of the present invention includes:

[0140] The acquisition module 401 is used to acquire the power Internet of Things network data and terminal resource data;

[0141] An indicator module 402 is used to calculate an importance evaluation index of a data access node in the power Internet of Things network based on the power Internet of Things network data;

[0142] The weight module 403 is used to determine the comprehensive weight corresponding to the evaluation index through the hierarchical analysis method and the entropy weight method;

[0143] Importance module 404, used to calculate the comprehensive importance corresponding to the node by combining the evaluation index and the comprehensive weight;

[0144] The configuration module 405 is used to obtain the configuration resources corresponding to the node based on the comprehensive importance and in combination with the terminal resource data.

[0145] In an optional embodiment, the indicator module 402 includes:

[0146] A calculation submodule, used to calculate the node topology importance, business type importance and data demand importance of the data access node in the power Internet of Things network according to the power Internet of Things network data;

[0147] A summary submodule, used to summarize the node topology importance, the business type importance and the data demand importance to obtain the importance evaluation index;

[0148] In an optional embodiment, the calculation submodule includes:

[0149] A topology unit, configured to calculate the node topology importance of the node according to the electric power Internet of Things network data, in combination with the location of the node and the topological structure of the electric power Internet of Things network;

[0150] A type unit, used to calculate the importance of the business type of the node based on the type of the electric power Internet of Things network data;

[0151] The demand unit is used to calculate the power Internet of Things network data according to the demand size of the terminal resources to obtain the data demand importance of the node.

[0152] In an optional embodiment, the weight module 403 includes:

[0153] The subjective submodule is used to calculate the subjective weight corresponding to the evaluation index through the analytic hierarchy process;

[0154] An objective submodule, used to calculate the objective weight corresponding to the evaluation index through the entropy weight method;

[0155] The comprehensive submodule is used to calculate the comprehensive weight corresponding to the evaluation index based on the subjective weight and the objective weight.

[0156] In an optional embodiment, the configuration module 405 includes:

[0157] A terminal submodule, used to determine the number of intelligent terminals based on the terminal resource data;

[0158] The configuration submodule is used to calculate the configuration resources of the node according to the number of nodes and the comprehensive importance.

[0159] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0160] In the several embodiments provided in the present application, it should be understood that the methods and devices disclosed in the present invention can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0161] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0162] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0163] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or part of the contribution to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a readable storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned readable storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0164] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A resource configuration method, It is characterized in that include: Obtain power Internet of Things network data and terminal resource data; According to the electric power Internet of Things network data, an importance evaluation index of a data access node in the electric power Internet of Things network is calculated; Determine the comprehensive weights corresponding to the evaluation indicators through the hierarchical analysis method and the entropy weight method; Combining the evaluation index and the comprehensive weight, calculating the comprehensive importance corresponding to the node; Based on the comprehensive importance and in combination with the terminal resource data, obtaining configuration resources corresponding to the node; The importance evaluation index is calculated based on the power Internet of Things network data, including: According to the electric power Internet of Things network data, the node topology importance, the business type importance and the data demand importance of the data access node in the electric power Internet of Things network are calculated; Summarizing the node topology importance, the service type importance, and the data demand importance to obtain the importance evaluation index; The calculating, based on the electric power Internet of Things network data, the node topology importance, the business type importance and the data demand importance of the data access node in the electric power Internet of Things network comprises: According to the electric power Internet of Things network data, combined with the location of the node and the topological structure of the electric power Internet of Things network, the node topological importance of the node is calculated; Based on the type of the electric power Internet of Things network data, calculate the importance of the business type of the node; According to the demand size of the terminal resources, the power Internet of Things network data is calculated to obtain the data demand importance of the node.

2. The resource configuration method according to claim 1, It is characterized in that The comprehensive weights of the evaluation indicators are determined by the hierarchical analysis method and the entropy weight method, including: By means of the analytic hierarchy process, the subjective weight corresponding to the evaluation index is calculated; By using the entropy weight method, the objective weight corresponding to the evaluation index is calculated; Based on the subjective weight and the objective weight, the comprehensive weight corresponding to the evaluation index is calculated.

3. A method for configuring resources according to any one of claims 1 to 2, It is characterized in that Based on the comprehensive importance and in combination with the terminal resource data, the configuration resources of the node are obtained, including: Determining the number of intelligent terminals based on the terminal resource data; The configuration resources of the node are calculated based on the number of nodes and the comprehensive importance.

4. A resource configuration device, It is characterized in that include: The acquisition module is used to obtain the power Internet of Things network data and terminal resource data; An indicator module, used to calculate the importance evaluation index of the data access node in the power Internet of Things network according to the power Internet of Things network data; A weight module is used to determine the comprehensive weight corresponding to the evaluation index through the hierarchical analysis method and the entropy weight method; An importance module, used to calculate the comprehensive importance corresponding to the node by combining the evaluation index and the comprehensive weight; A configuration module, configured to obtain configuration resources corresponding to the node based on the comprehensive importance and in combination with the terminal resource data; The indicator module includes: A calculation submodule, used to calculate the node topology importance, business type importance and data demand importance of the data access node in the power Internet of Things network according to the power Internet of Things network data; A summary submodule, used to summarize the node topology importance, the business type importance and the data demand importance to obtain the importance evaluation index; The calculation submodule includes: A topology unit, configured to calculate the node topology importance of the node according to the electric power Internet of Things network data, in combination with the location of the node and the topological structure of the electric power Internet of Things network; A type unit, used to calculate the importance of the business type of the node based on the type of the electric power Internet of Things network data; The demand unit is used to calculate the power Internet of Things network data according to the demand size of the terminal resources to obtain the data demand importance of the node.

5. The resource configuration device according to claim 4, It is characterized in that The weight module comprises: The subjective submodule is used to calculate the subjective weight corresponding to the evaluation index through the analytic hierarchy process; An objective submodule, used to calculate the objective weight corresponding to the evaluation index by using the entropy weight method; The comprehensive submodule is used to calculate the comprehensive weight corresponding to the evaluation index based on the subjective weight and the objective weight.

6. A resource configuration device according to any one of claims 4 to 5, It is characterized in that The configuration module includes: A terminal submodule, used to determine the number of intelligent terminals based on the terminal resource data; The configuration submodule is used to calculate the configuration resources of the node according to the number of nodes and the comprehensive importance.

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