CN114036699A

CN114036699A - A generalized non-power business modeling method for power Internet of things platform

Info

Publication number: CN114036699A
Application number: CN202111214509.2A
Authority: CN
Inventors: 宿磊; 沈煜; 杨帆; 杨志淳; 胡伟; 雷杨
Original assignee: Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd
Current assignee: Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd
Priority date: 2021-10-19
Filing date: 2021-10-19
Publication date: 2022-02-11
Anticipated expiration: 2041-10-19
Also published as: CN114036699B

Abstract

The invention provides a generalized non-electric power business modeling method for an electric power Internet of things platform, which comprises the following steps: using a meta-node model editing module to create a meta-node model, wherein the meta-node model is a class of nodes with independent services at the same level; the node generation module is used for realizing node instantiation: counting nodes needing to be added in the total station, adding nodes through a Node generation module interface, selecting newly added nodes, inputting Node description, selecting a meta-Node model, clicking to generate, adding a Node in a gallery by a system, generating a Node ID by the system in an instantiation process, wherein the Node ID is a unique identifier of the Node in the gallery; configuring the nodes through a node configuration module; and traversing the total station model by using a cross-model traversal algorithm. Aiming at the power Internet of things monitoring platform, the invention solves the problems of establishment and management of various non-electrical service models through a universal modeling method, and realizes coexistence and fusion among multiple models of the platform through a model interaction mechanism.

Description

Generalized non-power business modeling method for power Internet of things platform

Technical Field

The invention relates to the technical field of power Internet of things, in particular to a generalized non-power business modeling method for a power Internet of things platform.

Background

The power supply system is closely related to social production and life, and for a monitoring platform with close combination of power business and non-power business, a simple power monitoring platform lacks display of real business, and a common Internet of things platform lacks support of a power model.

The traditional power monitoring platform is modeled based on standards such as IEC61850 and IEC61970, and focuses on model description of an electrical principle, for example, in an SCD (substation configuration description) model file of IEC61850, modeling is respectively performed on a primary part and a secondary part of a power system through a substtation part and an IED (intelligent electronic device) part, and then primary and secondary association is performed on the substtation part. The standard only models business logic, and does not consider the physical model of the actual equipment, so that the corresponding relation between the physical optical fiber loop and the logical link of the process layer is lost, and great trouble is brought to the management and maintenance of the power equipment.

In order to solve the modeling problem, the SPCD model is introduced by electric power enterprises in China to describe the physical characteristics of secondary equipment, network cables and optical fibers. However, the SPCD file can only be used as a supplement to the IED part of the SCD file, and its nature is still based on the structural description of the power model. The SPCD model is also frustrating when non-electrical services (e.g., electrical fire management, building construction) are required.

Modeling specific services of each project is a relatively reliable method, but a platform is over-customized, a large amount of development resources are consumed, and product limitations are increased.

Disclosure of Invention

The invention provides a generalized non-electric business modeling method for an electric Internet of things platform, which can quickly generate a plurality of non-electric business models according to project requirements, solve the problems of coexistence and interaction under a plurality of model systems, select different model systems according to business requirements and avoid the difficulty in processing non-electric business caused by the attachment of the platform to a single electric model.

In order to solve the technical problems, the invention adopts the following technical scheme:

a generalization non-power business modeling method for a power Internet of things platform comprises the following steps:

s1: using a meta-node model editing module to create a meta-node model, wherein the meta-node model is a class of nodes with independent services at the same level;

s2: node instantiation through node generation module

Counting nodes needing to be added in the total station, adding nodes through a Node generation module interface, selecting newly added nodes, inputting Node description, selecting a meta-Node model, clicking to generate, adding a Node in a gallery by a system, generating a Node ID by the system in an instantiation process, wherein the Node ID is a unique identifier of the Node in the gallery;

s3: configuring the nodes through a node configuration module;

s4: and traversing the total station model by using a cross-model traversal algorithm.

Further, the meta-node model comprises data description, parent node, sibling node, model association and data association.

Further, the process of creating the meta-node model includes:

s1.1, dividing service levels according to services, and determining meta-nodes of each level, wherein the principle of determining the meta-nodes of the levels is as follows:

1) the metanodes in the same level have the same service content;

2) each node has independent service function;

3) the hierarchical division is consistent with the human-computer interface logic or the business logic;

s1.2, determining data elements of each hierarchy element node, including data names, data types and data units, according to service logic, editing the data elements into a template file, wherein the template file is in an xml format;

and S1.3, leading in the template file of the meta-node model of each level generated in the S1.2 by the system, and generating the meta-node model.

Further, the step S3 of configuring the node specifically includes:

1) data element mapping IED model

Performing IED _ REF mapping on the data elements one by one, screening signals in a total station data summary table FCDA according to IEDname and FC types, selecting a corresponding DA to map into a node instance table, wherein each data element can only map one IED _ REF at most, and repeating mapping to cover the reference of the original mapping;

2) brother node configuration

Configuring the relation between sibling nodes in the same level, inquiring all the sibling nodes in a graph library node configuration table, associating the sibling nodes with the sibling node entries of the current node, adding a plurality of sibling node entries, wherein each entry has a corresponding relation identifier, and the identifier content is related to a specific service;

3) parent node configuration

Configuring a superior node, inquiring all superior nodes in a graph library node configuration table, associating all the superior nodes to brother node entries of the node, and only adding 1 father node entry;

4) external model association

And associating external model nodes related to the node, wherein the external models comprise an SSD model, an IED model and an SPCD model.

Further, by executing step 1-3, many-to-many connectivity relationships are generated among the multiple models, and the association relationships of the nodes are weighted according to the relationship types to generate a weighted connectivity graph composed of multiple models, where step S4 specifically includes:

traversing the weighted connected graph by using a Prim algorithm, wherein the specific process is as follows:

1) taking the node as a vertex, the vertex set is V, and the edge set is E;

2) initializing Vnew { (x), wherein x is any node in the set V, and Enew { } is null;

3) the following operations are repeated until Vnew ═ V:

a. selecting an edge < u, V > with the minimum weight value in a set E, wherein u is an element in a set Vnew, V is not in the set Vnew, and V belongs to V;

b. adding v into a set Vnew, and adding < u, v > edges into a set Enew;

4) and describing the obtained minimum spanning tree by using a set Vnew and Enew to realize the traversal of the cross model.

According to the invention, the non-electrical service model is allowed to be established on the power Internet of things platform through an engineering means, so that the problem that the platform is too professional and single in function is solved, and the platform can be widely used for projects related to power but with core services being the leading of the non-electrical model; meanwhile, the invention uses a standardized general engineering configuration means to replace the conventional modeling of developers, realizes the standardization of the model structure and greatly reduces the development workload of model design and modeling.

Drawings

FIG. 1 is a flow chart of one embodiment of a generalized non-power business modeling method for a power Internet of things platform according to the invention;

FIG. 2 is a schematic diagram of the meta-node model generated by step S1 of the present invention;

FIG. 3 is a diagram of a meta-node model generated by taking a room node as an example according to the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.

Referring to fig. 1 to 3, an embodiment of the present invention provides a generalized non-power business modeling method for a power internet of things platform, taking building modeling for electrical fire analysis as an example, and the method includes the following specific steps:

s1: the method comprises the following steps of using a meta-node model editing module to create a meta-node model, wherein the meta-node model is a class of nodes with independent services at the same level and comprises data description, father nodes, brother nodes, model association, data association and the like, and the creation process comprises the following steps:

s1.1, dividing service levels according to services and determining meta-nodes of each level.

According to project requirements, a building model is required to be established to describe spatial relationships in the building. The human-computer interface interaction design level is sequentially building-floor-room, and the fire algorithm is also related to the room as a unit of space. Therefore, business levels are divided, and nodes of each level are determined to be buildings, floors and rooms in sequence.

S1.2, determining data elements of each hierarchy meta node according to the service logic, and editing a template file, wherein the template file is in an xml format.

Taking the room meta-model as an example, the business requirements show that the data elements required by the room model are as follows: the switch position, current, voltage, protection signal of the electrical equipment, the temperature and smoke concentration of the room, and the fire monitoring area to which the room belongs. The above signals are integrated into a template file named "room node. xml".

The S1.3 system imports the template file generated in S1.2 and generates a metanode model structure as shown in FIG. 3.

The room meta-node model infrastructure, as shown in FIG. 2, includes ID, description, model data, sibling, parent, external model associations. Wherein, the data elements in the model data are imported and generated by an XML file, and the values of other content items are completed by the following steps.

S2: node instantiation by node generation module

Taking a room node instantiation as an example, counting rooms needing to be added to the whole building, adding nodes through a node generation module interface, selecting newly added nodes, inputting node descriptions as room numbers, and selecting a meta-node model as a room meta-node. And clicking to generate, adding a Node in the gallery by the system, and generating a Node ID by the system in the instantiation process, wherein the Node ID is the unique identifier of the Node in the gallery.

S3: node configuration

The following configuration of the node is accomplished by the node configuration module:

1) data element mapping IED model

The switch positions, currents, voltages, protection signals of the electrical devices and the temperature, smoke concentration signals, fire monitoring area of the room are taken from the IED model, the data elements under each node are selected in the interface, and IED references are added. Specifically, signals in a total station data summary table FCDA are screened according to IEDname and FC types, a corresponding DA is selected to be mapped into a node instance table, each data element can only map one IED _ REF at most, and repeated mapping covers the reference of the original mapping.

2) Brother node configuration

Sibling nodes, here spatially adjacent, interconnected rooms, are used for fire development process analysis. A relationship identifier of 1 indicates that the spaces are adjacent and in communication, and a relationship identifier of 2 indicates that the spaces are adjacent but not in communication.

And selecting room nodes to be configured, inquiring all room nodes of the floor in a map library node configuration table, manually selecting adjacent and communicated room nodes, associating the adjacent and communicated room nodes to brother node entries of the room nodes, and setting relationship identification for each brother node room according to actual position conditions.

3) Parent node configuration

The parent node of the room node is a corresponding floor node, and the parent node of the floor node is a building node.

4) External model association

And associating the external model nodes related to the node. In this example, the external model nodes to be associated include: electrical device nodes in the SSD model, and part of IED nodes in the IED model; cable nodes in the SPCD model.

S4: traversing a total station model using a cross-model traversal algorithm

And (3) generating many-to-many connection relations among the models by executing the steps 1-3, and weighting the association relations of the nodes according to the relation types to generate a weighted connection graph consisting of multiple models.

According to the cross-model traversal algorithm, the space positions influenced by the arc abnormity alarms of the two LTU devices can be quickly positioned, and then the fire position is positioned. The association relations need to be jointly judged by combining the topological relation of the SSD model, the LTU device coordinates and signals of the IED model, the cable information of the SPCD model and the spatial position information of the building model.

Step S4 traverses the weighted connectivity graph using Prim algorithm, the detailed method is as follows:

1) taking the node as a vertex, the vertex set is V, and the edge set is E;

2) initializing Vnew { x }, wherein x is any node (starting point) in the set V, and Enew { } is empty;

3) the following operations are repeated until Vnew ═ V:

a. selecting the edge < u, V > with the minimum weight value in the set E, wherein u is an element in the set Vnew, V is not in the set Vnew, and V is equal to V (if a plurality of edges which meet the condition and have the same weight value exist, one of the edges can be selected arbitrarily);

b. adding v into a set Vnew, and adding < u, v > edges into a set Enew;

The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. a generalized non-electricity business modeling method for power internet of things platform, is characterized in that: comprise the steps:

S1: use a meta-node model editing module to create a meta-node model, where the meta-node model is a class of nodes with independent services at the same level;

S2: Node instantiation through node generation module

Count the nodes that need to be added in the whole station, add nodes through the node generation module interface, select the new node, enter the node description, select the meta node model, click Generate, the system adds a node Node in the gallery, and the system generates the node ID during the instantiation process. , the node ID is the unique identifier of this node in the gallery;

S3: Configure the node through the node configuration module;

S4: Use the cross-model traversal algorithm to traverse the site-wide model.

2 . The generalized non-electricity business modeling method for an electric power Internet of Things platform according to claim 1 , wherein the meta-node model includes data description, parent node, sibling node, model association, and data association. 3 .

3. The generalized non-electricity business modeling method for an electric power Internet of Things platform according to claim 1 or 2, wherein the creation process of the meta-node model comprises:

S1.1. Divide the business level according to the business, and determine the meta-nodes of each level. The principles for determining the hierarchical meta-nodes are as follows:

1) Meta nodes at the same level have the same business content;

2) The business functions of each node are independent;

3) Hierarchical division is consistent with man-machine interface logic or business logic;

S1.2. According to the business logic, determine the data elements of each level of meta nodes, including data name, data type, and data unit, edit the above data elements into a template file, and the template file is in xml format;

S1.3, the system imports the template files of the meta-node models of each level generated in S1.2 to generate the meta-node model.

4. The generalized non-electricity service modeling method for the power Internet of Things platform according to claim 1, wherein the step S3 to configure the node specifically includes:

1) Data element mapping IED model

Perform IED_REF mapping on data elements one by one, filter the signals in the total station data table FCDA according to IEDname and FC type, and select the corresponding DA to map to the node instance table. Each data element can only map one IED_REF at most. Repeated mapping will Overwrite the reference of the original mapping;

2) Brother node configuration

Configure the relationship between sibling nodes at the same level, query all the nodes at this level in the gallery node configuration table, and associate them with the sibling node entries of this node. Multiple sibling node entries can be added, and each entry has a corresponding relationship identifier. The content of the logo is related to the specific business;

3) Parent node configuration

Configure the upper-level node, query all the upper-level nodes in the gallery node configuration table, and associate to the sibling node entry of this node, only one parent node entry can be added;

4) External model association

Associate external model nodes related to this node, the external models include SSD model, IED model, SPCD model.

5. The generalized non-electricity business modeling method for the power Internet of Things platform according to claim 1, wherein: by performing steps 1-3, a many-to-many connectivity relationship is generated between multiple models, Weighting the association relationship of each node according to the relationship type to generate a weighted connectivity graph composed of multiple models, step S4 specifically includes:

Use Prim's algorithm to traverse the weighted connected graph. The specific process is as follows:

1) Take the node as the vertex, the vertex set as V, and the edge set as E;

2) Initialize Vnew={x}, where x is any node in the set V, Enew={}, is empty;

3) Repeat the following operations until Vnew=V:

a. Select the edge <u, v> with the smallest weight in the set E, where u is an element in the set Vnew, and v is not in the Vnew set, and v∈V, if there are multiple nodes that satisfy the above conditions, they have the same The edge of the weight, you can choose one of them arbitrarily;

b. Add v to the set Vnew, and add the <u,v> edge to the set Enew;

4) Use the sets Vnew and Enew to describe the obtained minimum spanning tree to achieve cross-model traversal.