A communication fusion method of adaptive communication mode in a power distribution area scene

Abstract

The application discloses a communication fusion method of adaptive communication mode under a power distribution area scene, which comprises the following steps: obtaining historical communication data of a power distribution area under multiple main station communication modes; determining the optimal main station communication mode between the power distribution area and the main station based on the historical communication data by using an analytic hierarchy process, and obtaining corresponding first communication protocol data; performing protocol mapping processing on the first communication protocol data and Internet of Things communication protocol data in the power distribution area according to a preset protocol mapping rule; and based on a protocol mapping result, using a communication channel corresponding to the optimal main station communication mode to download main station data to power distribution Internet of Things equipment or upload power distribution Internet of Things equipment data to the main station. The application can determine the optimal communication mode according to historical operation characteristics of the power distribution network under multiple communication modes, and realize communication protocol fusion under the corresponding communication mode, thereby guaranteeing the stability and reliability of the power distribution network operation.

Description

Technical Field

[0001] This invention relates to the field of power distribution network communication technology, and in particular to a communication fusion method for adaptive communication in a power distribution substation scenario. Background Technology

[0002] With the deepening development of smart grids and the global energy internet, the demand for data transmission and communication is constantly increasing, and the need to restructure communication methods is becoming stronger. Traditional data transmission networking solutions can no longer meet the requirements of business development. To meet the communication needs of sensors and equipment in the distribution network and support the free networking of various types of sensors and equipment in the distribution network, converged communication technology is gradually becoming the main data communication method for data transmission in power line monitoring systems.

[0003] To ensure the safe and stable operation of the power grid, improve power supply quality and reliability, it is of great significance to accurately understand the communication requirements of the smart power distribution system in terms of bandwidth, service rate, reliability, etc., meet the business needs of the smart grid, realize adaptive switching methods for multiple communication modes, and establish a non-sound communication integration mechanism for the distribution network. Summary of the Invention

[0004] The purpose of this invention is to provide a communication fusion method, apparatus, and storage medium for adaptive communication modes in a distribution substation scenario. This method can determine the optimal communication mode based on the historical operating characteristics of the distribution network under various communication modes, and achieve communication protocol fusion under corresponding communication modes, thereby ensuring the stability and reliability of the distribution network operation. The technical solution adopted by this invention is as follows.

[0005] On one hand, the present invention provides a communication fusion method for adaptive communication modes in a distribution radio area scenario, comprising:

[0006] Acquire historical communication data of the distribution radio area under various master station communication modes to be determined;

[0007] Based on the historical communication data and the preset hierarchical evaluation model, the optimal master station communication method between the distribution transformer area and the master station is determined using the hierarchical analysis method.

[0008] Acquire first communication protocol data and second communication protocol data, wherein the first communication protocol data is the communication protocol data of the optimal master station communication method, and the second communication protocol data is the communication protocol data of the communication method between the distribution transformer area and the IoT device in the area.

[0009] According to the preset protocol mapping rules, the first communication protocol data and the second communication protocol data are subjected to protocol mapping processing;

[0010] Based on the protocol mapping results, the communication channel corresponding to the optimal master station communication method is used to send master station data to the power distribution IoT device, or the power distribution IoT device data is sent to the master station.

[0011] Optionally, before executing the master station data distribution and the distribution IoT device data upload, the method further includes: performing standardized modeling of the distribution network; the standardized modeling includes application scenario modeling, device modeling, and logical node modeling, wherein:

[0012] The application scenario modeling is described using use case diagrams and sequence diagrams (SSD). The use case diagram is a static view of the distribution network system functions, consisting of actors, use cases, and the relationships between them.

[0013] The device modeling includes modeling physical devices as corresponding IED objects, where each IED object contains a Server object, each Server object contains an LD object, and each LD object contains an LN object.

[0014] The logical node is modeled as follows: the interaction information between various objects that implement automation functions in the power distribution network is associated through the logical node.

[0015] Optionally, the preset protocol mapping rules include information model mapping rules and service model mapping rules;

[0016] The protocol mapping process for the first communication protocol data and the second communication protocol data includes:

[0017] According to the information model mapping rules, data mapping is performed between the data objects defined by the first communication protocol and the data types supported by the second communication protocol;

[0018] According to the service model mapping rules, the services required for the power distribution network scenario are extracted from the first communication protocol and the second communication protocol, and the extracted services are associated and mapped.

[0019] Optionally, the first communication protocol data includes the IEC61850 protocol, and the second communication protocol adopts the MQTT communication protocol. The data mapping between the data object defined in the first communication protocol and the data type supported by the second communication protocol includes mapping the data object defined in the IEC61850-7-2 standard in IEC61850 to the JSON data type and encapsulating the data value through JSON data tags.

[0020] The information model mapping rules include: mapping Boolean class data objects in the IEC 61850-7-2 standard to Boolean class data in JSON; mapping Int8, Int16, Int8U, and Int16U class data objects in the IEC 61850-7-2 standard to numbers class data in JSON; mapping Float32 class data objects in the IEC 61850-7-2 standard to Strings class data in JSON; mapping Enumerated class data objects in the IEC 61850-7-2 standard to numbers class data in JSON; and mapping CODE ENUM, DCTET STRING, VISIBLE STRING, and UNICODE class data objects in the IEC 61850-7-2 standard to Strings class data in JSON.

[0021] In the above scheme, JSON supports four basic data types: string, number, boolean, and NULL; as well as two special types: array and object. Combinations of these six data types can encapsulate various types of data defined by the IEC 61850-7-2 standard.

[0022] Optionally, the first communication protocol data includes the IEC61850 protocol, the second communication protocol adopts the MQTT communication protocol, and the service model mapping rules include: mapping the services defined by the IEC61850 protocol to MQTT topics, determining the service method as the publish-subscribe method, and carrying the service parameters by the payload.

[0023] The MQTT topic mapped to the IEC61850 service includes: logical device information and / or logical node information associated with the mapped IEC61850 service, IEC61850 service information corresponding to the topic, and access request type information.

[0024] In the table above, Subscribe / Publish refers to the subscription and publication model, and QoS is the agreement reached between the message sender and receiver. For details, please refer to existing technologies.

[0025] Optionally, the first communication protocol data includes the IEC61850 protocol, and the second communication protocol adopts the Modbus communication protocol.

[0026] The information model mapping rules include: mapping the MODBUS address field to the IEC60870-5-104 address field; mapping the function code, data start address, and data size in the MODBUS request ADU to the data feature identifier, information body address, and data type of the IEC60870-5-104 standard hierarchical information model, respectively.

[0027] The service model mapping rules include: mapping MODBUS function codes 0x01 / 0x02 to remote signaling upload service; mapping MODBUS function codes 0x03 / 0x04 to telemetry upload service; mapping MODBUS function codes 0x05 / 0x0F to remote control service; and mapping MODBUS function codes 0x06 / 0x10 to parameter download service. Through these service mappings, information exchange between the distribution IoT cloud master station and edge devices via the distribution substation system is achieved.

[0028] In this invention, various master station communication methods include, but are not limited to, optical fiber, 5G, power line carrier and Beidou communication. The communication between distribution transformer areas and IoT devices in the areas adopts IoT communication methods such as RS485.

[0029] Optionally, the target layer of the preset hierarchical evaluation model is configured to select the optimal communication method, the criterion layer is configured to the latency, bandwidth, packet loss rate and economy corresponding to the communication method, and the scheme layer is configured to include at least fiber optic, 5G, power line carrier and BeiDou communication methods.

[0030] The method of determining the optimal master station communication mode between the distribution transformer area and the master station using the analytic hierarchy process includes:

[0031] The criteria layer and factor layer of the corresponding hierarchical evaluation model are used to construct judgment matrices. Based on the historical communication data of each communication method in the current distribution area, the hierarchical single sorting and consistency test are performed on each judgment matrix to obtain the weight factor vector of each judgment matrix.

[0032] The weight factor vectors are sorted hierarchically and a consistency check is performed to obtain the relative weights of each communication method in the scheme layer.

[0033] The communication method corresponding to the maximum relative weight is taken as the optimal master station communication method for the current distribution radio area.

[0034] Secondly, the present invention provides a communication fusion device for adaptive communication in a distribution radio area scenario, comprising:

[0035] The historical communication data acquisition module is configured to acquire historical communication data of the distribution radio area under various master station communication modes to be determined.

[0036] The optimal communication method analysis module is configured to determine the optimal master station communication method between the distribution transformer area and the master station based on the historical communication data and the preset hierarchical evaluation model using the analytic hierarchy process.

[0037] The communication protocol determination module is configured to acquire first communication protocol data and second communication protocol data, wherein the first communication protocol data is the communication protocol data of the optimal master station communication method, and the second communication protocol data is the communication protocol data of the communication method between the distribution transformer area and the IoT device in the area.

[0038] The protocol mapping module is configured to perform protocol mapping processing on the first communication protocol data and the second communication protocol data according to preset protocol mapping rules.

[0039] In addition, a communication module is configured to, based on the protocol mapping result, use the communication channel corresponding to the optimal master station communication method to send master station data down to the power distribution IoT device, or send power distribution IoT device data up to the master station.

[0040] Optionally, the communication convergence device also includes a standardized modeling module, configured to perform standardized modeling of the distribution network before executing master station data distribution and distribution IoT device data transmission; the standardized modeling includes application scenario modeling, device modeling, and logical node modeling, wherein:

[0041] The application scenario modeling is described using use case diagrams and sequence diagrams (SSD). The use case diagram is a static view of the distribution network system functions, consisting of actors, use cases, and the relationships between them.

[0042] The device modeling includes modeling physical devices as corresponding IED objects, where each IED object contains a Server object, each Server object contains an LD object, and each LD object contains an LN object.

[0043] The logical node is modeled as follows: the interaction information between various objects that implement automation functions in the power distribution network is associated through the logical node.

[0044] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the communication fusion method for adaptive communication in a distribution radio area scenario as described in the first aspect.

[0045] Beneficial effects

[0046] This invention provides a method for adaptive switching of communication modes and protocols in a distribution network under multiple communication methods, along with a mechanism for integrating non-perfect communication protocols, in a distribution substation scenario. It can determine the optimal communication mode based on the historical operating characteristics of the distribution network under various communication modes and achieve communication protocol integration under the corresponding modes, ensuring the stability and reliability of the distribution network operation. Specifically, it offers the following advantages and advancements:

[0047] On the one hand, this invention considers factors such as the received signal strength, service rate, and reliability of different media channels. Based on the historical communication data of the communication method in the distribution radio area, the analytic hierarchy process is used to evaluate the applicability of various communication methods to the distribution radio area, so as to achieve the selection and switching of the optimal communication method, which can effectively improve the communication efficiency and reliability of the distribution radio area.

[0048] On the other hand, this invention considers the adaptability of protocols under different communication scenarios. Through information model mapping and service model mapping, it realizes the mapping between multiple types of communication protocols, ensuring efficient and reliable interaction of uplink and downlink data between distribution radio areas, master stations and IoT devices under the optimal communication scheme. Attached Figure Description

[0049] Figure 1 The diagram shows the communication network architecture of the distribution radio station area.

[0050] Figure 2 The diagram shown is a flowchart illustrating the communication fusion method of adaptive communication in the distribution radio area scenario of the present invention.

[0051] Figure 3 The diagram shown is a schematic diagram of the hierarchical evaluation model of the analytic hierarchy process in one embodiment of the present invention;

[0052] Figure 4 The diagram shown is a schematic representation of the improved analytic hierarchy process used in one embodiment of the present invention.

[0053] Figure 5 The diagram shown is a schematic representation of the mapping from the IEC6850 protocol to the MQTT protocol in one embodiment of the present invention.

[0054] Figure 6 The diagram shown is a schematic representation of the information model mapping relationship between the MODBUS protocol and the IEC60870-5-104 protocol in one embodiment of the present invention. Detailed Implementation

[0055] The following description, in conjunction with the accompanying drawings and specific embodiments, provides further details.

[0056] The technical concept of this invention is as follows: First, based on historical communication data analysis, the optimal communication method for the current distribution substation is determined, and then the corresponding communication channel is switched. Second, for the determined optimal communication method, the communication protocol of the master station side and the communication protocol of the IoT device side are mapped to achieve communication integration, so as to achieve efficient identification, processing and forwarding of data sent by the device and data sent by the master station, and ensure the efficient and reliable operation of the distribution master station system.

[0057] Example 1

[0058] refer to Figure 1 The communication network architecture of the distribution transformer area shown in the figure involves the distribution master station system interacting with various IoT terminals such as sensors within the transformer area, and uploading the data collected by the IoT terminals within the station to the master station. The communication between the distribution master station system and the upstream master station, as well as the communication between the distribution master station system and the IoT devices within the transformer area, usually adopt different communication methods and protocols.

[0059] This embodiment introduces a communication fusion method for adaptive communication in a distribution radio area scenario, referring to... Figure 2 As shown, the method includes:

[0060] Acquire historical communication data of the distribution radio area under various master station communication modes to be determined;

[0061] Based on the historical communication data and the preset hierarchical evaluation model, the optimal master station communication method between the distribution transformer area and the master station is determined using the hierarchical analysis method.

[0062] Acquire first communication protocol data and second communication protocol data, wherein the first communication protocol data is the communication protocol data of the optimal master station communication method, and the second communication protocol data is the communication protocol data of the communication method between the distribution transformer area and the IoT device in the area.

[0063] According to the preset protocol mapping rules, the first communication protocol data and the second communication protocol data are subjected to protocol mapping processing;

[0064] Standardized modeling of the distribution network is performed to obtain a standardized model;

[0065] Based on the protocol mapping results and the standardized model, the communication channel corresponding to the optimal master station communication method is used to send master station data to the power distribution IoT device, or the power distribution IoT device data is sent to the master station.

[0066] In this embodiment, the communication fusion method of adaptive communication mode in the distribution radio area scenario specifically involves the following contents.

[0067] I. Acquisition of Historical Communication Data

[0068] The communication methods between the distribution master station and the upstream master station usually include multiple communication methods such as fiber optic, 5G, power line carrier and Beidou. In order to realize the applicability analysis of various communication methods to the current distribution substation, this embodiment can obtain communication data under various common communication methods during a specified historical period.

[0069] II. Selection of Optimal Communication Method

[0070] After obtaining historical communication data, this embodiment uses an improved hierarchical analysis method based on a preset hierarchical evaluation model to analyze the optimal communication method, including the following:

[0071] 2.1 Hierarchical Evaluation Model: Reference Figure 3 The hierarchical evaluation model shown in this embodiment is configured with the target layer as selecting the optimal communication method, the criterion layer as the latency, bandwidth, packet loss rate and economy corresponding to the communication method, and the scheme layer as fiber optic, 5G, power line carrier and Beidou communication methods; the factors associated with each dimension of the criterion layer can be determined with reference to existing technologies.

[0072] 2.2 Analysis Process of Analytic Hierarchy Process

[0073] refer to Figure 4 As shown, the analytic hierarchy process in this embodiment is as follows: construct judgment matrices for the criterion layer and factor layer of the corresponding hierarchical evaluation model respectively; based on the historical communication data of each communication method in the current distribution area, perform hierarchical single sorting and consistency check on each judgment matrix to obtain the weight factor vector of each judgment matrix.

[0074] The weight factor vectors are sorted hierarchically and a consistency check is performed to obtain the relative weights of each communication method in the scheme layer.

[0075] The communication method corresponding to the maximum relative weight is taken as the optimal master station communication method for the current distribution radio area.

[0076] The improved analytic hierarchy process is an existing technology, and the specific steps in this embodiment include:

[0077] 2.2.1 Based on Santy's 1-9 scaling method, a judgment matrix is ​​constructed. Elements in each layer are compared pairwise to determine their relative importance. The comparison results are then quantified using historical communication data, and the results are combined into a judgment matrix for analysis. Let element A in the previous layer... p For each element in the next layer that is interconnected, and by constructing a matrix B from all the comparisons of the importance of each pair of elements in the next layer, we can finally obtain the weights of various factors such as latency, bandwidth, packet loss rate, and cost-effectiveness in relation to the target layer; the formula is as follows:

[0078]

[0079] 2.2.2 Based on the judgment matrix, normalization is performed, and the square root method is used to achieve hierarchical single sorting. The weights of each indicator factor are calculated based on the judgment matrix.

[0080] 2.2.3 Based on the hierarchical single sorting results, solve for the maximum eigenvalue and calculate the cumulative value;

[0081] 2.2.4 Based on the RI value table in Table 1 below, perform a consistency check to determine whether there are logical problems in the constructed judgment matrix, and use the consistency index to check the consistency index of the judgment.

[0082] Table 1. R.I Value Table

[0083]

[0084] 2.2.5 Based on the overall hierarchical ranking, calculate the weights of the relative importance of all factors at a certain level to the target level, proceeding sequentially from the highest level to the lowest level.

[0085] Referring to Table 2 below, calculate the weights of fiber optic, 5G, power line carrier, and BeiDou communication methods in terms of latency, bandwidth, packet loss rate, and economy, and perform consistency verification for each. Based on the weight vector formula at each level, obtain the comprehensive weight of each communication method and confirm that the communication method corresponding to the maximum weight is the optimal solution.

[0086] Table 2 Overall Hierarchical Ranking

[0087]

[0088] Once the optimal communication method is determined, the communication channel can be switched to the corresponding channel.

[0089] III. Communication Convergence Mechanism

[0090] 3.1 Communication Protocol Mapping

[0091] The protocol mapping process in this embodiment includes information model mapping and service model mapping: information model mapping is to map data between data objects defined by the first communication protocol and data types supported by the second communication protocol; service model mapping is to extract the services required for the power distribution network scenario from the first and second communication protocols and perform associated mapping on the extracted services.

[0092] Taking a typical IEC61850 to MQTT protocol mapping as an example, refer to... Figure 5As shown, information model mapping establishes the foundation for communication mapping through data mapping. Data objects defined in the IEC 61850-7-2 standard are mapped to JSON data types, with data values ​​encapsulated using JSON data tags. JSON supports four basic data types: string, number, boolean, and NULL; and two special types: array and object. Various data types are encapsulated through combinations of these six data types, as detailed in Table 3 below.

[0093] Table 3 Data Mapping Table

[0094]

[0095] The service model mapping involves extracting necessary IEC61850 services based on actual IEC61850 scenarios and requirements, and mapping them to an MQTT mapping service. Services defined by the IEC61850 protocol are mapped to MQTT topics, with the service method determined to be publish-subscribe. Service parameters are carried by the payload. The mapped topics include: the logical device information and / or logical node information associated with the mapped IEC61850 service, the IEC61850 service corresponding to the topic, and access request type information.

[0096] Referring to the examples in Table 4, different types of messages can be directly distinguished by Topic, without the need for message expansion and classification. The Topic defines the objects and service methods used, with specific service parameters carried by the payload. The payload can be empty when there are no parameters. Table 4 only provides examples of some service mappings; in practical applications, customized MQTT topics can be created based on message type requirements.

[0097] During the interaction, the IoT management platform uses the V1 / {LDs} / {LNs} / GetAllDatatValues / Request topic to send parameter query information to the edge device. Here, V1 represents the logical device number; LDs represents the logical device name; LNs represents the logical node name; GetAllDatatValues ​​represents the ACSI service used; and Request indicates that this information is an access request. Specific access parameters are carried in the payload. Simultaneously, the platform subscribes to the V1 / {LDs} / {LNs} / GetAllDatatValues / Response topic to receive response information.

[0098] After receiving a request message from the V1 / {LDs} / {LNs} / GetDataObjectValues / Request topic, the IoT device encapsulates the response message body into the payload of the V1 / {LDs} / {LNs} / GetDataObjectValues / Response topic and sends it to the server. Response indicates that this information is an access response. The IoT management platform can obtain the corresponding message body content through message publishing and subscription.

[0099] Table 4 Service Mapping Table

[0100]

[0101] Assuming the distribution transformer area selects its network communication method using the analytic hierarchy process (AHP) to interact with the master station, and the distribution transformer side of the distribution transformer area connects to intelligent sensing devices via RS-485 serial communication, then the distribution master station prioritizes using the IEC60870-5-104 protocol for its upstream communication network port and the Modbus protocol for its downstream serial port. Achieving the mapping from the Modbus protocol to the IEC60870-5-104 protocol requires implementation from both the information model and the service model.

[0102] The information model mapping includes: mapping the MODBUS address field to the IEC60870-5-104 address field; mapping the function code, data start address, and data size in the MODBUS request ADU to the data feature identifier, information body address, and data type of the IEC60870-5-104 standard hierarchical information model, respectively; the service model mapping includes: mapping MODBUS function codes 0x01 / 0x02 to remote signaling upload service; mapping MODBUS function codes 0x03 / 0x04 to telemetry upload service; mapping MODBUS function codes 0x05 / 0x0F to remote control service; and mapping MODBUS function codes 0x06 / 0x10 to parameter download service.

[0103] The MODBUS information model is determined by the parameter table, while its service model is determined by the function code. Both the MODBUS RTU and IEC 60870-5-104 data models are linear planar structures, and the slave address in the MODBUS RTU follows the information point correspondence principle. After the distribution station acquires information from the sensor device, it maps the MODBUS address field to the IEC 60870-5-104 address field; it maps the function code (including coil, discrete quantity, input register, and holding register), data start address, and data size in the MODBUS request ADU to the parameter feature identifier and information body address of the IEC 60870-5-104 standard hierarchical information model, and finally assembles them into an IEC 60870-5-104 message, which is then sent to the master station.

[0104] MODBUS function codes define different MODBUS service types. A mapping to IEC60870-5-104 services is established based on MODBUS function codes. Table 5 below shows the specific function code mapping relationship. Information interaction between the power distribution IoT cloud master station and edge devices is realized through this service mapping.

[0105] Table 5 Service Function Mapping

[0106]

[0107] 3.2 Standardized Modeling

[0108] While integrating communication protocols, this embodiment also requires standardized modeling of distribution substations. Standardized modeling includes application scenario modeling, equipment modeling, and logical node modeling. Application scenario modeling enables the modeling of the functional behavior of systems, subsystems, or classes. It is described using use case diagrams and sequence diagrams (SSD). A use case diagram is a static view describing the functions of the distribution network system, consisting of actors, use cases, and the relationships between them.

[0109] Device modeling enables terminal modeling, which models physical devices as corresponding IED objects. This object is a container, mainly containing Server objects, which contain LD objects, and each LD object contains 3 LN objects.

[0110] Logical node modeling enables the modeling of interactive information between objects with automated functions. The specific process is as follows: referring to the IEC61850 standard, if associated logical nodes and common data classes are found, they are adopted; if the logical nodes in the existing version do not meet the application requirements, it is necessary to expand or add logical nodes.

[0111] At this point, the power distribution master station can use the protocol mapping results, based on the standardized model, to send master station data to power distribution IoT devices through the channel corresponding to the optimal communication method, or send data from power distribution IoT devices to the master station.

[0112] Example 2

[0113] Based on the same inventive concept as Embodiment 1, this embodiment introduces a communication fusion device with adaptive communication mode in a distribution radio area scenario, which includes:

[0114] The historical communication data acquisition module is configured to acquire historical communication data of the distribution radio area under various master station communication modes to be determined.

[0115] The optimal communication method analysis module is configured to determine the optimal master station communication method between the distribution transformer area and the master station based on the historical communication data and the preset hierarchical evaluation model using the analytic hierarchy process.

[0116] The communication protocol determination module is configured to acquire first communication protocol data and second communication protocol data, wherein the first communication protocol data is the communication protocol data of the optimal master station communication method, and the second communication protocol data is the communication protocol data of the communication method between the distribution transformer area and the IoT device in the area.

[0117] The protocol mapping module is configured to perform protocol mapping processing on the first communication protocol data and the second communication protocol data according to preset protocol mapping rules.

[0118] The standardized modeling module is configured for standardized modeling of the distribution network;

[0119] In addition, a communication module is configured to, based on the protocol mapping results and the standardized model of the distribution radio area, use the communication channel corresponding to the optimal master station communication method to send master station data down to the distribution IoT device, or send distribution IoT device data up to the master station.

[0120] The specific implementation of each of the above functional modules is described in reference to the relevant content of Implementation Example 1, and will not be repeated here. It should be noted that:

[0121] The standardized modeling performed by the aforementioned standardized modeling module includes application scenario modeling, device modeling, and logical node modeling, among which:

[0122] Application scenario modeling is described using use case diagrams and sequence diagrams (SSD). A use case diagram is a static view describing the functions of a power distribution network system, consisting of actors, use cases, and the relationships between them.

[0123] Equipment modeling includes modeling physical equipment as corresponding IED objects, where each IED object contains a Server object, each Server object contains an LD object, and each LD object contains an LN object.

[0124] Logical nodes are modeled as objects that implement automation functions in the power distribution network, and their interaction information is associated through logical nodes.

[0125] Through information model mapping and service model mapping, this embodiment can realize the mapping between multiple types of communication protocols to support data interaction between the power distribution master station system and the IoT devices in the distribution area.

[0126] Example 3

[0127] This embodiment describes a computer-readable storage medium storing a computer program that, when executed by a processor, implements a communication fusion method for adaptive communication in a distribution radio area scenario as described in Embodiment 1.

[0128] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0129] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0130] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0131] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0132] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A communication fusion method for adaptive communication modes in a distribution radio area scenario, characterized in that, include: Acquire historical communication data of the distribution radio area under various master station communication modes to be determined; Based on the historical communication data and the preset hierarchical evaluation model, the optimal master station communication method between the distribution transformer area and the master station is determined using the hierarchical analysis method. Acquire first communication protocol data and second communication protocol data, wherein the first communication protocol data is the communication protocol data of the optimal master station communication method, and the second communication protocol data is the communication protocol data of the communication method between the distribution transformer area and the IoT device in the area. According to preset protocol mapping rules, protocol mapping processing is performed on the first communication protocol data and the second communication protocol data; the preset protocol mapping rules include information model mapping rules and service model mapping rules; the protocol mapping processing includes: according to the information model mapping rules, performing data mapping between data objects defined in the first communication protocol and data types supported by the second communication protocol; according to the service model mapping rules, extracting services required for the power distribution network scenario from the first communication protocol and the second communication protocol, and performing association mapping on the extracted services; Based on the protocol mapping results, the communication channel corresponding to the optimal master station communication method is used to send master station data down to the power distribution IoT device, or send power distribution IoT device data up to the master station.

2. The method according to claim 1, characterized in that, Before executing the master station data distribution and the distribution IoT device data upload, the method further includes: performing standardized modeling of the distribution network; the standardized modeling includes application scenario modeling, device modeling, and logical node modeling, wherein: The application scenario modeling is described using use case diagrams and sequence diagrams (SSD). The use case diagram is a static view of the distribution network system functions, consisting of actors, use cases, and the relationships between them. The device modeling includes modeling physical devices as corresponding IED objects, where each IED object contains a Server object, each Server object contains an LD object, and each LD object contains an LN object. The logical node is modeled as follows: the interaction information between various objects that implement automation functions in the power distribution network is associated through the logical node.

3. The method according to claim 1, characterized in that, The first communication protocol data includes the IEC61850 protocol, and the second communication protocol adopts the MQTT communication protocol. The data mapping between the data object defined in the first communication protocol and the data type supported by the second communication protocol includes: mapping the data object defined in the IEC61850-7-2 standard of IEC61850 to the JSON data type, and encapsulating the data value through JSON data tags. The information model mapping rules include: Map Boolean data objects from the IEC 61850-7-2 standard to Boolean data objects in JSON; map Int8, Int16, Int8U, and Int16U data objects from the IEC 61850-7-2 standard to numbers data objects in JSON; map Float32 data objects from the IEC 61850-7-2 standard to Strings data objects in JSON; map Enumerated data objects from the IEC 61850-7-2 standard to numbers data objects in JSON; map CODE ENUM, DCTET STRING, VISIBLE STRING, and UNICODE data objects from the IEC 61850-7-2 standard to Strings data objects in JSON.

4. The method according to claim 1, characterized in that, The first communication protocol data adopts the IEC61850 protocol, the second communication protocol adopts the MQTT communication protocol, and the service model mapping rules include: mapping the services defined by the IEC61850 protocol to MQTT topics, determining the service method as the publish-subscribe method, and carrying the service parameters in the payload. The MQTT topic mapped to the IEC61850 service includes: logical device information and / or logical node information associated with the mapped IEC61850 service, IEC61850 service information corresponding to the topic, and access request type information.

5. The method according to claim 1, characterized in that, The first communication protocol data includes the IEC61850 protocol, and the second communication protocol adopts the Modbus communication protocol; The information model mapping rules include: mapping the MODBUS address field to the IEC60870-5-104 address field; mapping the function code, data start address, and data size in the MODBUS request ADU to the data feature identifier, information body address, and data type of the IEC60870-5-104 standard hierarchical information model, respectively. The service model mapping rules include: mapping MODBUS function codes 0x01 / 0x02 to remote signaling upload service; mapping MODBUS function codes 0x03 / 0x04 to telemetry upload service; mapping MODBUS function codes 0x05 / 0x0F to remote control service; and mapping MODBUS function codes 0x06 / 0x10 to parameter download service.

6. The method according to claim 1, characterized in that, The target layer of the preset hierarchical evaluation model is configured to select the optimal communication method, the criterion layer is configured to include the latency, bandwidth, packet loss rate and economy of the communication method, and the scheme layer is configured to include at least fiber optic, 5G, power line carrier and BeiDou communication methods. The method of determining the optimal master station communication mode between the distribution transformer area and the master station using the analytic hierarchy process includes: The criteria layer and factor layer of the corresponding hierarchical evaluation model are used to construct judgment matrices. Based on the historical communication data of each communication method in the current distribution area, the hierarchical single sorting and consistency test are performed on each judgment matrix to obtain the weight factor vector of each judgment matrix. The weight factor vectors are sorted hierarchically and a consistency check is performed to obtain the relative weights of each communication method in the scheme layer. The communication method corresponding to the maximum relative weight is taken as the optimal master station communication method for the current distribution radio area.

7. A communication fusion device employing an adaptive communication method in a distribution radio area scenario using the method of any one of claims 1-6, characterized in that, include: The historical communication data acquisition module is configured to acquire historical communication data of the distribution radio area under various master station communication modes to be determined. The optimal communication method analysis module is configured to determine the optimal master station communication method between the distribution transformer area and the master station based on the historical communication data and the preset hierarchical evaluation model using the analytic hierarchy process. The communication protocol determination module is configured to acquire first communication protocol data and second communication protocol data, wherein the first communication protocol data is the communication protocol data of the optimal master station communication method, and the second communication protocol data is the communication protocol data of the communication method between the distribution transformer area and the IoT device in the area. The protocol mapping module is configured to perform protocol mapping processing on the first communication protocol data and the second communication protocol data according to preset protocol mapping rules. In addition, a communication module is configured to, based on the protocol mapping result, use the communication channel corresponding to the optimal master station communication method to send master station data down to the power distribution IoT device, or send power distribution IoT device data up to the master station.

8. The communication fusion device for adaptive communication in a distribution radio area scenario according to claim 7, characterized in that, It also includes a standardized modeling module, configured to perform standardized modeling of the distribution network before executing master station data distribution and distribution IoT device data transmission; the standardized modeling includes application scenario modeling, device modeling, and logical node modeling, wherein: The application scenario modeling is described using use case diagrams and sequence diagrams (SSD). The use case diagram is a static view of the distribution network system functions, consisting of actors, use cases, and the relationships between them. The device modeling includes modeling physical devices as corresponding IED objects, where each IED object contains a Server object, each Server object contains an LD object, and each LD object contains an LN object. The logical node is modeled as follows: the interaction information between various objects that implement automation functions in the power distribution network is associated through the logical node.

9. A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the communication fusion method for adaptive communication in a distribution radio area scenario as described in any one of claims 1-6.

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