A method, system, storage medium and device for constructing multi-station fusion network topology

Abstract

The present invention relates to a method, system, storage medium and device for constructing a multi-station fusion network topology, which includes: calculating the data service effect radiation of an existing substation, combining the data service effect radiation with the topological network formed by the equipment in the existing substation, obtaining the density of the equipment nodes in the topological network, so as to determine the location of a data center station to be established; determining the number of data fusion stations according to the sparsity of the topological network, determining whether to establish a data fusion station at the node of the data fusion station to be established; determining the peak time scheduling communication protocol in the established data fusion station, and completing the construction of the multi-station fusion network topology. The present invention can reduce construction costs, alleviate the pressure of peak time, and improve the utilization rate of idle time, and can be widely used in the field of substation data communication technology.

Description

Technical Field

[0001] The present invention relates to the technical field of substation data communication, and in particular to a method, system, storage medium and device for constructing a multi-station fusion network topology. Background Art

[0002] Multi-station integration hopes to use the densely distributed power grid substation resources to build data fusion stations to improve data utilization, provide a means of connection for substations, energy storage stations and other types of stations, improve data storage and computing capabilities, and then improve the speed and accuracy of decision-making. At the same time, with the help of multi-station data in the data fusion station, data support is provided for the development of the economy and society. However, at present, multi-station integration is in its infancy, and there are no large-scale real-time cases. Most of them use existing substation resources to establish data fusion station pilots in certain locations, that is, there is no effective implementation strategy for multi-station integration. At the same time, since data fusion stations cannot exist in isolation, they need to communicate internally and externally, and an effective communication mechanism is urgently needed. In other words, there is currently a lack of effective strategies to plan the number of data stations and optimize the access location of data stations to balance the load of data stations and maximize data utilization and minimize transmission losses; there is also no effective communication mechanism that enables resources between stations to coordinate with each other to improve data utilization while improving the utilization of station resources.

[0003] At present, some multi-station integration pilot projects have been built one after another. For a single station, the technology is relatively mature. For example, how to build data center stations, 5G base stations, Beidou ground-based augmentation stations, etc. in existing substations to achieve multi-station integration has been successful in multiple pilots, and the feasibility of the technology has been verified. However, how to promote the rapid layout of multi-station integration is still lacking effective strategies. In detail, first of all, multi-station integration is based on existing substations, relying on the existing resources of substations, and building facilities such as data center stations to achieve multi-station integration. However, the current power grid is large in scale, and it is costly and unnecessary to expand and integrate each substation. Reasonable selection of the location of the data fusion station enables it to reduce engineering construction investment while taking into account communication expenses. Data exchange and data fusion between different stations are included in the data routing of the topological structure of the data fusion station. A good strategy can reduce data transmission loss and improve decision-making efficiency. Selecting a suitable location to establish a data fusion station and optimize the communication route can maximize the effect of the multi-station fusion strategy. In other words, how to determine the network topology and routing of the data fusion station plays an important role in making full use of resources and reducing redundant consumption.

[0004] How to reasonably plan the location and number of fusion stations; optimize data routing to reduce data loss and transmission loss has become a technical problem that needs to be solved urgently. The key description of this problem is as follows: 1. Traditional fusion stations include data center stations, 5G base stations, energy storage stations, etc. In detail, taking data center stations as an example, building a data center station requires a central warehouse, cabinets, servers and other equipment. Reasonable planning of the number of fusion stations can save unnecessary expenses. Nowadays, most fusion stations are carried out in the form of pilots, and have not yet formed an effective strategy for multi-station integration for existing large-scale substation systems, energy storage station systems, and other auxiliary monitoring systems. 2. Each data station has a certain data storage capacity. When the regional energy storage stations and substations radiated by the data station are densely distributed, the data storage and processing pressure of this data station is relatively large; and when the regional energy storage stations and substations radiated by the data station are sparsely distributed, the resources of the data station will be wasted. The development of distributed energy will lead to an increasing demand for data storage and processing in the future. Taking energy storage stations as an example, their access volume will have a phased development in the future, and the scale of data generated will grow rapidly. Therefore, reasonable site selection of fusion stations and optimization of the topological relationship between fusion stations are crucial to improving decision-making efficiency and load balancing.

[0005] In addition, routing strategy is also an important aspect. Some business needs require data exchange between different stations; even if there are data stations, some specific data still needs to be transmitted from each node to the control center to assist decision-making. Data transmission will generate certain consumption, and choosing a suitable transmission route is conducive to improving resource utilization; due to the influence of time and space factors, the needs for data storage, processing, and transmission in a certain area at different times are different. In other words, the demand for data processing is relatively large during peak hours, while the resources in the data center may be idle to a certain extent during non-peak hours. Setting a data processing resource sharing strategy can reduce the pressure during peak hours and improve the utilization of idle time. Summary of the invention

[0006] In view of the above problems, the purpose of the present invention is to provide a method, system, storage medium and device for constructing a multi-station fusion network topology, which can reduce construction costs, alleviate pressure during peak hours, and improve utilization during idle time.

[0007] To achieve the above-mentioned purpose, the present invention adopts the following technical solutions: a method for constructing a multi-station fusion network topology, which includes: calculating the data service effect radiation of an existing substation, combining the data service effect radiation with the topological network formed by the equipment in the existing substation, and obtaining the density of the equipment nodes in the topological network to determine the location of the data center station to be established; determining the number of data fusion stations according to the sparsity of the topological network, and determining whether to establish a data fusion station at the node of the data fusion station to be established; determining the peak scheduling communication protocol in the established data fusion station to complete the construction of the multi-station fusion network topology.

[0008] Furthermore, the calculation of the data service effect radiance R of the existing station e for:

[0009]

[0010] In the formula, α, β, and γ represent the importance parameters of the data processing requirements of the substation, energy storage station, and auxiliary monitoring equipment to the data center station; D e , D s , D o They respectively represent the data demand indicators of the substation, energy storage station, and auxiliary monitoring equipment within the subnet of the alternative data center station.

[0011] Furthermore, the radiation degree of the data service effect is combined with the topological network formed by the equipment in the existing substation to obtain the density of the nodes in the topological network, including: the larger the amount of data at the node, the smaller the radiation range, and the more necessary it is to build a data fusion station in the surrounding area to meet the high demand for data storage and processing.

[0012] Further, determining the number of data fusion stations according to the sparsity of the topological network includes:

[0013] The number of data fusion stations is determined based on the ratio of the number of bian substation nodes to the number of other types of station nodes;

[0014] If the ratio of the number of substation nodes to other types of station nodes is smaller, more data fusion stations need to be established.

[0015] Furthermore, the number m of the data fusion stations is:

[0016]

[0017] Where M ee 、M ss 、M oo 、M es 、M eo 、M soThe distribution represents the number of edges between substation nodes, energy storage station nodes, monitoring equipment nodes, between substation and energy storage station, between substation and monitoring equipment, and between energy storage station and monitoring equipment. N e 、N s 、N o They respectively represent the number of substation nodes, energy storage station nodes, and monitoring equipment nodes.

[0018] Further, the determination of whether to establish a data fusion station at the node where the data fusion station is to be established is performed by adopting an iterative method, including:

[0019] Select the first m substations with the smallest data service effect radiation as the current data fusion station site selection set;

[0020] For each current data fusion station site selection, starting from the node with the smallest data service effect radiation, all nodes within the path range of the node are added to the service area of ​​the data fusion station;

[0021] When processing the node, if the intersection of the service area and the current data fusion station location is a non-empty set, the intersection is removed from the current data fusion station location set;

[0022] The current data fusion station site selection set is replenished according to the size of the data service effect radiation until all nodes within the path range are added to the service area set or the current data fusion station site selection set, and then the node for establishing the data fusion station is determined.

[0023] Further, the peak time scheduling communication protocol is determined in the established data fusion station, including:

[0024] The resource fusion station that has reached its load limit is stored or calculated as a requesting station, and includes the required resources and time information in the request, and sends the request to its neighboring stations in order of priority; wherein the distance between the requesting station and the neighboring station is used as the priority, and the closest distance is the first priority;

[0025] After all the neighboring stations of the first priority receive the request data, they parse the request message. If a neighboring station is relatively idle and can respond to the request of the requesting station, it sends a request response message to the requesting station. The requesting station receives the complete response message and forms a communication channel with the neighboring station. If it can respond to a partial request, it sends a request response to the requesting station, and the response message must contain the partial response information. If no neighboring station can receive the request, it does not respond. After the requesting station receives the partial response information, it calculates the resources that still need to be requested and continues to send requests.

[0026] Until the requesting station has requested all resources, or the requesting station's request information has been sent to all neighboring stations;

[0027] When the requesting station does not need resource assistance, it actively sends an assistance termination message. After receiving the assistance termination message, the assisting neighboring station sends a termination consent message to the requesting station and cuts off the assistance communication channel. After receiving the termination consent message, the requesting station also cuts off the request channel, and the scheduling ends.

[0028] A multi-station fusion network topology construction system comprises: a position determination module, a quantity determination module and a dispatching communication protocol module; the position determination module is used to calculate the data service effect radiation of an existing substation, combine the data service effect radiation with the topological network formed by the equipment in the existing substation, obtain the density of the equipment nodes in the topological network, so as to determine the location of a data center station to be established; the quantity determination module determines the number of data fusion stations according to the sparsity of the topological network, and determines whether to establish a data fusion station at the node of the data fusion station to be established; the dispatching communication protocol module determines the peak time dispatching communication protocol in the established data fusion station, and completes the construction of the multi-station fusion network topology.

[0029] A computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any of the above methods.

[0030] A computing device comprises: one or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any of the above methods.

[0031] The present invention adopts the above technical solution, which has the following advantages:

[0032] 1. The present invention rationally selects the site for the fusion station, optimizes the topological relationship between the fusion stations, and reduces the construction cost.

[0033] 2. The present invention sets a data processing resource sharing strategy, which can reduce the pressure during peak hours and improve the utilization rate during idle time. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of a multi-station fusion network topology construction method according to an embodiment of the present invention;

[0035] Figure 2 It is a schematic diagram of the structure of a computing device in one embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0037] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0038] The data fusion station is established based on the existing substation resources. In the power grid system, the number of substations is very large. It is unrealistic to establish a data fusion station at each substation for some substations and other station resources within their communication range. How to select the site for the fusion station and determine the number of data fusion stations is the key to this problem. Therefore, the present invention provides a method, system, storage medium and device for constructing a multi-station fusion network topology. By calculating the radiation of the data service effect of the existing station, while considering the network density (network density refers to the network density of a topological network composed of various types of equipment as nodes and connections between equipment as edges), the greater the network density, the more fusion stations need to be established, and the denser the node distribution in the network, the higher the possibility of establishing a fusion station, the number of fusion stations that need to be established is determined, and the final site selection strategy is obtained through iteration.

[0039] Each data fusion station has its own fixed storage and computing resources. When a data fusion station cannot reasonably bear the data computing and storage requirements of all multi-type stations within its radiation range, it sends a request to the adjacent data fusion station, and other fusion stations bear part of the computing and storage pressure, which can not only bear the peak pressure for other data fusion stations, but also improve the utilization rate of its own resources. The present invention adopts an active request and active response help request strategy, and realizes resource communication and scheduling by sending requests, receiving request information, parsing request information, and sending requests and receiving response information.

[0040] In one embodiment of the present invention, Figure 1 As shown, a method for constructing a multi-station fusion network topology is provided. This embodiment uses the method applied to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0041] 1) Calculate the data service effect radiation of the existing substation, combine the data service effect radiation with the topological network formed by the equipment in the existing substation, and obtain the density node of the equipment node in the topological network as an indicator to measure whether the substation should build a data center station, so as to determine the location of the data center station to be established;

[0042] 2) Determine the number of data fusion stations according to the sparsity of the topological network, and determine whether to establish a data fusion station at the node where the data fusion station is to be established;

[0043] 3) Determine the peak-time scheduling communication protocol within the established data fusion station and complete the construction of the multi-station fusion network topology.

[0044] In the above step 1), the location of the data center is affected by the geographical location, data volume, and data calculation timeliness. For substations, the objects of access are relatively fixed, and there are certain rules for peak, flat and valley times. When the power consumption is large, that is, peak time, the requirements for data processing are relatively high, and the efficiency of data transmission is reduced by other tasks; in valley time, the required load is relatively small. At this time, the pressure of calculation and data storage of the data center is relatively small. For energy storage stations, there is no obvious rule for the change of load access, which is affected by many factors. The data service effect radiation R of each data fusion station of the existing station e The calculation formula is:

[0045]

[0046] In the formula, α, β, and γ represent the importance parameters of the data processing requirements of the substation, energy storage station, and auxiliary monitoring equipment to the data center station; D e , D s , D o They respectively represent the data demand indicators of the alternative data center station (substation, energy storage station, and auxiliary monitoring equipment within the subnet.

[0047] Among them, D e , D s , D o The calculation formula is as follows:

[0048]

[0049]

[0050]

[0051] In the formula, E represents the actual power supply load; I represents the number of monitoring devices; U represents the current charge amount; O represents the current discharge amount; μ represents the current time period is the peak time; when it is at the peak time, the amount of calculation and data increases sharply, and the importance index of the monitoring device data is higher at this time, while the valley time can allocate more sufficient calculation and storage indicators. n represents the number of devices.

[0052] Compared with other factors, auxiliary monitoring equipment has relatively stable data format and data volume, and the computing requirements for data governance and fusion processing are also relatively small. Therefore, compared with other weights, γ has the smallest proportion.

[0053] In the above step 1), the radiation of the data service effect is combined with the topological network formed by the equipment in the existing substation to obtain the density of the nodes in the topological network, including: the larger the amount of data at the node, the smaller the radiation range, and the more data fusion stations need to be built in the surrounding area to meet the high demand for data storage and processing.

[0054] In the above step 2), the method for determining the number of data fusion stations according to the sparsity of the topological network is: determine the number of data fusion stations according to the ratio of the number of bian substation nodes to the number of other types of station nodes. If the ratio of the number of substation nodes to the number of other types of station nodes is smaller, more data fusion stations need to be established.

[0055] Since the number of data fusion stations is determined by the scale of the entire project, when the project scale is small and the nodes are sparse, the number of data fusion stations required is small. When the entire project to be planned includes a large number of substations, energy storage equipment, etc., and a large number of access devices, the topological network composed of all stations and equipment in the entire project is relatively complex. If it is different from a simple topological network. Therefore, the number of data fusion stations m is determined by considering the network sparsity. The calculation formula is as follows:

[0056]

[0057] Where M ee 、M ss 、M oo 、M es 、M eo 、M so The distribution represents the number of edges between substation nodes, energy storage station nodes, monitoring equipment nodes, between substation and energy storage station, between substation and monitoring equipment, and between energy storage station and monitoring equipment. N e 、N s 、N o They respectively represent the number of substation nodes, energy storage station nodes, and monitoring equipment nodes.

[0058] The different coefficients in the calculation formula for the number of data fusion stations m are a reflection of the importance of nodes or edges. es 、M eo 、M so In actual situations, the number is small, and the connection between different stations occupies an important position, so the edge of the three has a larger coefficient. As for the number of nodes, the communication within the station has actually developed more maturely. The data fusion station is more to promote data communication and storage between different types of stations. Since the number of substations is relatively large, the ratio of substation nodes to other types of station nodes is small, and the more data fusion stations need to be established.

[0059] In the above step 2), it is determined whether to establish a data fusion station at the node (substation or energy storage station) where the data fusion station is to be established, and the determination is made by an iterative method.

[0060] After the approximate number of data fusion stations is determined to be m, the location L of the data fusion stations is determined through iteration.

[0061] The iterative approach consists of the following steps:

[0062] 2.1) Select the first m substations with the smallest data service effect radiation as the current data fusion station site selection set L;

[0063] 2.2) For each current data fusion station site selection, starting from the node m with the smallest data service effect radiation, all nodes within the node path k range are added to the service area R of the data fusion station m Inside;

[0064] The calculation formula of path k is:

[0065]

[0066] Where N is the number of nodes, d ij Represents the topological distance between node i and node j.

[0067] 2.3) When processing the node m, if the intersection of the service area and the current data fusion station location is a non-empty set, the intersection is removed from the current data fusion station location set;

[0068] That is: when When the set U(U=R m ∩L) is removed from L.

[0069] 2.4) Re-complete the current data fusion station site selection set L according to the size of the data service effect radiation in step 2.1), repeat steps 2.2) to 2.3) until all nodes within the path k are added to the service area set R or the current data fusion station site selection set L, and then determine the nodes in the set L for establishing the data fusion station.

[0070] In the above steps, for the nodes that have not been added to the set, the node r with the smallest data radiation is selected as the site of the new data fusion station, and all nodes within the path k of the node that have not been added to any set are added to the service range Rr of the data fusion station until all nodes are added to a set.

[0071] In the above step 3), when the storage or calculation of a resource fusion station A reaches the upper limit of its load, A can send a help request to its neighboring device. When it cannot get help from the neighboring device, it continues to request help from the next neighboring device. Since its neighboring device may be busy, this embodiment adopts the method of whoever is idle responds. For a certain fusion station, it is necessary to maintain a request sending priority table, the closest distance is the first priority, and so on. The calculation formula of distance d is as follows:

[0072]

[0073] Among them, S k Represents the shortest distance between two stations in the topological network. Represents the physical distance between two stations.

[0074] The peak time dispatch communication protocol is determined in the established data fusion station. When the resource fusion station A needs to request assistance, the following steps are included:

[0075] 3.1) Storage or calculation of resource fusion station A that has reached its load limit acts as a requesting station, includes the required resources and time information in the request, and sends requests to its neighboring stations B in order of priority. i Send a request, assuming that the sequence table it maintains is Q = {(B i ,I i )},B i represents the i-th neighboring station of A, I i Indicates B i Priority;

[0076] Among them, the requesting station A and the neighboring station B i The distance between them is used as the priority, and the closest one is the first priority; A first sends the request to the neighboring station with priority i (starting from 1 and increasing by 1 in sequence), and the request sent includes the required resources and time of the request;

[0077] 3.2) All neighboring stations B of the first priorityi After receiving the request data, the request message is parsed. If a neighboring station is relatively idle and can respond to the request of requesting station A, the request response information is sent to requesting station A. Requesting station A receives the complete response information and forms a communication channel with the neighboring station. If it can respond to a partial request, the request response is sent to the requesting station, and the response message must contain the partial response information. If no neighboring station can receive the request, no response is made. After receiving the partial response information, requesting station A calculates the resources that still need to be requested and continues to send requests.

[0078] 3.3) Repeat steps 3.1) and 3.2) until the requesting station A requests all resources, or the request information of the requesting station A has been sent to all neighboring stations;

[0079] 3.4) When the requesting station A does not need resource assistance, it actively sends the assistance termination message, and the assisting neighboring station B i After receiving the assistance termination information, the termination approval information is sent to the requesting station A, and the assistance communication channel is cut off. After receiving the termination approval information, the requesting station A also cuts off the request channel, and the scheduling ends.

[0080] In one embodiment of the present invention, a multi-station fusion network topology construction system is provided, which includes: a location determination module, a quantity determination module and a scheduling communication protocol module;

[0081] The location determination module is used to calculate the data service effect radiation of the existing substation, combine the data service effect radiation with the topological network formed by the equipment in the existing substation, and obtain the density of the equipment nodes in the topological network to determine the location of the data center station to be established;

[0082] A quantity determination module determines the number of data fusion stations according to the sparsity of the topological network, and determines whether to establish a data fusion station at the node where the data fusion station is to be established;

[0083] The dispatching communication protocol module determines the peak dispatching communication protocol in the established data fusion station and completes the construction of the multi-station fusion network topology.

[0084] The system provided in this embodiment is used to execute the above-mentioned method embodiments. Please refer to the above-mentioned embodiments for specific processes and detailed contents, which will not be repeated here.

[0085] like Figure 2As shown, it is a schematic diagram of the structure of a computing device provided in an embodiment of the present invention. The computing device can be a terminal, which can include: a processor, a communication interface, a memory, a display screen and an input device. Among them, the processor, the communication interface and the memory complete mutual communication through a communication bus. The processor is used to provide computing and control capabilities. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. When the computer program is executed by the processor, a construction method is implemented; the internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be implemented through WIFI, a management network, NFC (near field communication) or other technologies. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the housing of the computing device, or an external keyboard, touchpad or mouse. The processor can call the logical instructions in the memory to execute the following method:

[0086] Calculate the data service effect radiation of the existing substation, combine the data service effect radiation with the topological network formed by the equipment in the existing substation, and obtain the density of the equipment nodes in the topological network as an indicator to measure whether the substation should build a data center station, so as to determine the location of the data center station to be established; determine the number of data fusion stations according to the sparsity of the topological network, and determine whether to establish a data fusion station at the node of the data fusion station to be established; determine the peak scheduling communication protocol in the established data fusion station, and complete the construction of the multi-station fusion network topology.

[0087] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for 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 storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0088] Those skilled in the art will understand that Figure 2 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present application, and does not constitute a limitation on the computing device to which the scheme of the present application is applied. The specific computing device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0089] In one embodiment of the present invention, a computer program product is provided, wherein the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided by the above-mentioned method embodiments, for example, including: calculating the data service effect radiation of an existing substation, combining the data service effect radiation with the topological network formed by the equipment in the existing substation, and obtaining the density nodes of the equipment nodes in the topological network as an indicator for measuring whether a data center station is built in the substation, so as to determine the location of the data center station to be established; determining the number of data fusion stations according to the sparsity of the topological network, and determining whether to establish a data fusion station at the node of the data fusion station to be established; determining the peak scheduling communication protocol in the established data fusion station, and completing the construction of the multi-station fusion network topology.

[0090] In one embodiment of the present invention, a non-transitory computer-readable storage medium is provided, which stores server instructions. The computer instructions enable a computer to execute the methods provided in the above embodiments, for example, including: calculating the data service effect radiation of an existing substation, combining the data service effect radiation with the topological network formed by the equipment in the existing substation, and obtaining the density nodes of the equipment nodes in the topological network as an indicator to measure whether the substation should build a data center station, so as to determine the location of the data center station to be established; determining the number of data fusion stations according to the sparsity of the topological network, and determining whether to establish a data fusion station at the node of the data fusion station to be established; determining the peak scheduling communication protocol in the established data fusion station, and completing the construction of the multi-station fusion network topology.

[0091] The above embodiment provides a computer-readable storage medium, whose implementation principle and technical effect are similar to those of the above method embodiment, and will not be repeated here.

[0092] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0093] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0094] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. 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 method for constructing a multi-station fusion network topology, characterized in that: include: Calculate the data service effect radiation of the existing substation, combine the data service effect radiation with the topological network formed by the equipment in the existing substation, obtain the density of the equipment nodes in the topological network, and determine the location of the data center station to be established; Determining the number of data fusion stations according to the sparsity of the topological network, and determining whether to establish a data fusion station at the node where the data fusion station is to be established; Determine the peak time scheduling communication protocol in the established data fusion station to complete the construction of the multi-station fusion network topology; The step of determining the number of data fusion stations according to the sparsity of the topological network includes: Determine the number of data fusion stations based on the ratio of the number of substation nodes to other types of station nodes; If the ratio of the number of substation nodes to other types of station nodes is smaller, more data fusion stations need to be established; The number m of the data fusion stations is: Where M ee 、M ss 、M oo 、M es 、M eo 、M so The distribution represents the number of edges between substation nodes, energy storage station nodes, monitoring equipment nodes, between substation and energy storage station, between substation and monitoring equipment, and between energy storage station and monitoring equipment. N e 、N s 、N o Respectively represent the number of substation nodes, energy storage station nodes, and monitoring equipment nodes; The calculation of the data service effect radiation R of the existing substation e for: In the formula, α, β, and γ represent the importance parameters of the data processing requirements of the substation, energy storage station, and auxiliary monitoring equipment to the data center station; D e , D s , D o They respectively represent the data demand indicators of the substation, energy storage station, and auxiliary monitoring equipment within the subnet of the alternative data center station.

2. The method for constructing a multi-station fusion network topology according to claim 1, wherein: The data service effect radiation is combined with the topological network formed by the equipment in the existing substation to obtain the density of nodes in the topological network, including: the larger the amount of data at the node, the smaller the radiation, and the more data fusion stations need to be built in the surrounding area to meet the high demand for data storage and processing.

3. The method for constructing a multi-station fusion network topology according to claim 1, characterized in that: The step of determining whether to establish a data fusion station at the node where the data fusion station is to be established adopts an iterative method to determine the step, including: Select the first m substations with the smallest data service effect radiation as the current data fusion station site selection set; For each current data fusion station site selection, starting from the node with the smallest data service effect radiation, all nodes within the path range of the node are added to the service area of ​​the data fusion station; When processing the node, if the intersection of the service area and the current data fusion station location is a non-empty set, the intersection is removed from the current data fusion station location set; The current data fusion station site selection set is replenished according to the size of the data service effect radiation until all nodes within the path range are added to the service area set or the current data fusion station site selection set, and then the node for establishing the data fusion station is determined.

4. The method for constructing a multi-station fusion network topology according to claim 1, wherein: The peak time scheduling communication protocol is determined in the established data fusion station, including: The resource fusion station that has reached its load limit is stored or calculated as a requesting station, and includes the required resources and time information in the request, and sends the request to its neighboring stations in order of priority; wherein the distance between the requesting station and the neighboring station is used as the priority, and the closest distance is the first priority; After all the neighboring stations of the first priority receive the request data, they parse the request message. If a neighboring station is relatively idle and can respond to the request of the requesting station, it sends a request response message to the requesting station. The requesting station receives the complete response message and forms a communication channel with the neighboring station. If it can respond to a partial request, it sends a request response to the requesting station, and the response message must contain the partial response information. If no neighboring station can receive the request, it does not respond. After the requesting station receives the partial response information, it calculates the resources that still need to be requested and continues to send requests. Until the requesting station has requested all resources, or the requesting station's request information has been sent to all neighboring stations; When the requesting station does not need resource assistance, it actively sends an assistance termination message. After receiving the assistance termination message, the assisting neighboring station sends a termination consent message to the requesting station and cuts off the assistance communication channel. After receiving the termination consent message, the requesting station also cuts off the request channel.

5. A multi-station fusion network topology construction system, characterized in that: include: Position determination module, quantity determination module and scheduling communication protocol module; The location determination module is used to calculate the data service effect radiation of the existing substation, combine the data service effect radiation with the topological network formed by the equipment in the existing substation, obtain the density of the equipment nodes in the topological network, and determine the location of the data center station to be established; The quantity determination module determines the quantity of data fusion stations according to the sparsity of the topological network, and determines whether to establish a data fusion station at the node where the data fusion station is to be established; The scheduling communication protocol module determines the peak scheduling communication protocol in the established data fusion station to complete the construction of the multi-station fusion network topology; The step of determining the number of data fusion stations according to the sparsity of the topological network includes: Determine the number of data fusion stations based on the ratio of the number of substation nodes to other types of station nodes; If the ratio of the number of substation nodes to other types of station nodes is smaller, more data fusion stations need to be established; The number m of the data fusion stations is: Where M ee 、M ss 、M oo 、M es 、M eo 、M so The distribution represents the number of edges between substation nodes, energy storage station nodes, monitoring equipment nodes, between substation and energy storage station, between substation and monitoring equipment, and between energy storage station and monitoring equipment. N e 、N s 、N o Respectively represent the number of substation nodes, energy storage station nodes, and monitoring equipment nodes; The calculation of the data service effect radiation R of the existing substation e for: In the formula, α, β, and γ represent the importance parameters of the data processing requirements of the substation, energy storage station, and auxiliary monitoring equipment to the data center station; D e , D s , D o They respectively represent the data demand indicators of the substation, energy storage station, and auxiliary monitoring equipment within the subnet of the alternative data center station.

6. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any one of the methods of claims 1 to 4 .

7. A computing device, characterized in that include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any one of the methods described in claims 1 to 4.

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