CA3207585A1 - Modeling analysis method for device management network, and network model updating method - Google Patents

Abstract

Disclosed are a modeling analysis method for a device management network, an update method for a network model, and an analysis method for operating range. The modeling analysis method (10) includes: (S101) collecting, through the user terminal, position information, type information, and status information of a physical node, where the collecting is achieved by one of user inputting, a positioning function of the user terminal, and acquiring the position information, the type information, and the status information of the physical node through photographing and automatic recognition functions of the user terminal; (S102) automatically constructing, according to a first predetermined rule, a physical layer model based on the position information and the type information of a plurality of the physical node to automatically connect the plurality of the physical node into a line, and automatically displaying the plurality of the physical node and the line between the plurality of the physical node at a corresponding position on an electronic map as background; and (S103) automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model. The method may automatically construct a network model for rapid analysis, so that users can check the network diagram and network analysis results in real time, quickly, and automatically.

Description

MODELING ANALYSIS METHOD FOR DEVICE MANAGEMENT
NETWORK, AND NETWORK MODEL UPDATING METHOD
[001] This application claims priority to Chinese Patent Application No.
202110174547.3, filed on February 8, 2021, which is incorporated herein by reference in its entirety.
TECHNICAL FIELD

[002] The embodiments in the present disclosure relates to a modeling analysis method for a device management network, an analysis method for operating range, an update method for a network model, a user terminal, and a network server.
BACKGROUND

[003] With the rapid development of information technology, simulating operation laws of various existing social systems through simulation modeling has become an important means to improve management efficiency. In device management networks running in real life, either physical connection or logical connection between devices reflects a kind of device operation law. Therefore, by analyzing various devices in the system, automatic modeling of corresponding network models and analysis based on the network models can be completed.
SUMMARY

[004] At least one embodiment of the present disclosure provides a modeling analysis method for a device management network, applying to a user terminal, and the method includes:
collecting, through the user terminal, position information, type information, and status information of a physical node, where the collecting is achieved by one of user inputting, a positioning function of the user terminal, and acquiring the position information, the type information, and the status information of a physical node through photographing and automatic recognition functions of the user terminal; automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node to automatically connect the plurality of the physical node into a line, and automatically displaying the plurality of the physical node and the line between the plurality of the physical node at a corresponding position on an electronic map as background;
and automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model.

[005] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node includes: when position information and/or type information of a physical node is changed through the user terminal, with the electronic map as background, automatically disconnecting a line, among original lines, failing to conform to the first predetermined rule based on changed information, and automatically connecting, according to the first predetermined rule, a line between a changed physical node and an adjacent physical node of the changed physical node.

[006] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node includes: while the user terminal remains mobile, in response to collecting position information and the type information of a physical node, real-time displaying the physical node and a line, automatically generated, between the physical node and an adjacent physical node of the physical node.

[007] For example, the modeling analysis method provided by at least one embodiment of the present disclosure further includes: collecting position information of an additional node, and acquiring type information and status information of the additional node;
constructing an additional layer model based on the position information, the type information, and the state information of the additional node for expanding the network model; and with the electronic map as background, automatically displaying the type information and the state information of the additional node at a corresponding position.
For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the physical node includes: determining, based on the type information and the state information of the plurality of the physical node, a physical node meeting a first predetermined condition among the plurality of the physical node displayed on the electronic map as a logical node; and automatically constructing, according to the second predetermined rule, a topological relationship between a plurality of the logical node based on type information and state information of the plurality of the logical node.

[008] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, construction of the physical layer model and construction of the logical layer model are executed synchronously.

[009] For example, the modeling analysis method provided by at least one embodiment of the present disclosure further includes: automatically displaying a direction of a signal or a fluid in the device management network on the electronic map based on a topological relationship between logical nodes in the logical layer model.

[010] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the automatically displaying a direction of a signal or a fluid in the device management network on the electronic map includes: on the electronic map, displaying the direction of the signal or the fluid in the device management network through an arrow.

[011] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the device management network is a power grid management network, and the direction of the signal or the fluid in the device management network is a direction of power supply in the power grid management network.

[012] For example, the modeling analysis method provided by at least one embodiment of the present disclosure further includes: displaying a simulation analysis result in response to an analysis function in a scene interface being triggered.

[013] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the displaying a simulation analysis result in response to an analysis function in a scene interface being triggered includes: displaying the simulation analysis result by changing a color of the line in response to the analysis function in the scene interface being triggered.

[014] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the displaying a simulation analysis result in response to an analysis function in a scene interface being triggered is automatically executed online in real-time through the user terminal.

[015] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the collecting, through the user terminal, position information, type information, and status information of the physical node is executed online in real-time through mobile internet.

[016] At least one embodiment of the present disclosure further provides a modeling analysis method according to the above embodiments, where the device management network is a power grid management network, and the method includes: collecting, through the user terminal, position information, type information, and status information of a power grid device, where the collecting includes one of the user inputting, the positioning function of the user terminal, and acquiring the position information, the type information, and the status information of the power grid device through the photographing and automatic recognition functions of the user terminal;
automatically constructing, according to the first predetermined rule, a physical layer model based on position information and type information of a plurality of the power grid device to automatically connect the plurality of power grid devices into a line, and automatically displaying the plurality of the power grid device and the line between the plurality of the power grid device at a corresponding position on the electronic map as background;
automatically constructing, according to the second predetermined rule, a logical layer model based on type information and status information of the plurality of the power grid device to construct the network model; and displaying a power outage analysis result in response to a power outage analysis function in a scene interface being triggered.

[017] At least one embodiment of the present disclosure further provides a modeling analysis method for a device management network, applying to a simulation analysis server, and the method includes: receiving position information, type information, and status information of a physical node; automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node to automatically connect the plurality of the physical node into a line, where the physical layer model is used for automatically displaying the plurality of the physical node and the line between the plurality of the physical node at a corresponding position on an electronic map as background; automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model; and generating a simulation analysis result in response to receiving request data.

[018] For example, the modeling analysis method provided by at least one embodiment of the present disclosure further includes: receiving the position information, the type information, and the status information of the plurality of the physical node from a user terminal for constructing the network model on a simulation analysis server; and sending the simulation analysis result to the user terminal.

[019] For example, according to the modeling analysis method provided by at least one embodiment of the present disclosure, the receiving the position information, the type information, and the status information of the plurality of the physical node from a user terminal includes: receiving the position information, the type information, and the status information of the plurality of the physical node from the user terminal through mobile internet; and the sending the simulation analysis result to the user terminal includes: sending the simulation analysis result to the user terminal through the mobile internet.

[020] At least one embodiment of the present disclosure further provides an analysis method for operating range based on a modeling analysis method above, and the method includes:
analyzing an operating line corresponding to a physical node in a network model based on the network model composed of the physical node and the line; and automatically connecting each end node of the operating line, and forming, according to a third predetermined rule, a closed region corresponding to the physical node on an electronic map, where the closed region is the operating range corresponding to the physical node.

[021] For example, the analysis method for operating range provided by at least one embodiment of the present disclosure further includes: sending information, at least including an image and text, to a user within the operating range corresponding to the physical node.

[022] For example, according to the analysis method for operating range provided by at least one embodiment of the present disclosure, the sending information to a user within the operating range corresponding to the physical node includes: sending the information to the user within the operating range corresponding to the physical node in response to physical node failure, where the information includes a failure line name, a failure range, and an estimated fault processing time.

[023] At least one embodiment of the present disclosure further provides an update method for a network model, and the method includes: dividing an electronic map into a plurality of regions;
during a network update process, generating a corresponding network model for each of a plurality of user terminals respectively to form a plurality of network models when receiving node information for different content of the same region from the plurality of user terminals;
selecting, according to a second predetermined condition, a network model from the plurality of network models and saving the network model as a layer, and use the layer as a submission layer corresponding to the current time; and selecting, according to a third predetermined condition, a submission layer from a plurality of submission layers as a time layer for updating the network model when a number of saved submission layers reaches a threshold or after a scheduled time from the first submission layer.

[024] For example, according to the update method for a network model provided by at least one embodiment of the present disclosure, the second predetermined condition and the third predetermined condition include at least one of the following: the number of the physical nodes included in the network model is the largest ; the area of the map region included in the network model is the largest; the map line included in the network model is the longest; the types of the physical nodes included in the network model is the most.

[025] For example, according to the update method for a network model provided by at least one embodiment of the present disclosure, the network model includes a road network model.

[026] At least one embodiment of the present disclosure further provides a user terminal, and the user terminal includes a processor and a memory, where the memory stores instructions, and when the processor executes the instructions, the user terminal executes the method above.

[027] At least one embodiment of the present disclosure further provides a network server, and the network server includes a processor and a memory, where the memory stores instructions, and when the processor executes the instructions, the network server executes the method above.
BRIEF DESCRIPTION OF THE DRAWINGS

[028] To illustrate the technical solution of embodiments of the present disclosure clearer, the drawings of the embodiments will be briefly introduced below. Obviously, the drawings only relate to some embodiments of the present disclosure, and do not intend to limit the present disclosure.

[029] FIG. 1 is a schematic diagram of system simulation provided by at least one embodiment of the present disclosure.

[030] FIG. 2 is an architecture diagram of a device management system provided by at least one embodiment of the present disclosure.

[031] FIG. 3 is a flowchart of a modeling analysis method for a device management network provided by at least one embodiment of the present disclosure.

[032] FIG. 4 is a schematic diagram of a physical layer model of a power grid provided by at least one embodiment of the present disclosure.

[033] FIG. 5 is a flowchart corresponding to step S103 in a modeling analysis method provided by at least one embodiment of the present disclosure.

[034] FIG. 6 is a schematic diagram of a logic layer model of a power grid provided by at least one embodiment of the present disclosure.

[035] FIG. 7 is a schematic diagram of an additional layer model of a power grid provided by at least one embodiment of the present disclosure.

[036] FIG. 8A is a hierarchical schematic diagram of a system structure provided by at least one embodiment of the present disclosure.

[037] FIG. 8B is a schematic diagram of a simulation system model provided by at least one embodiment of the present disclosure.

[038] FIG. 8C is a diagram of a power grid system provided by at least one embodiment of the present disclosure.

[039] FIG. 9A is a schematic diagram of dual power supply provided by at least one embodiment of the present disclosure.

[040] FIG. 9B is a schematic diagram of dual power supply conversion provided by at least one embodiment of the present disclosure.

[041] FIG. 10 is a schematic diagram of power grid fault location provided by at least one embodiment of the present disclosure.

[042] FIG. 11 is an analysis diagram of power supply range provided by at least one embodiment of the present disclosure.
DETAILED DESCRIPTIONS OF THE EMBODIMENTS

[043] In order to make the purpose, technical solution, and advantages of the embodiments of the present disclosure clearer, a clear and complete description of technical solutions in embodiments of the present disclosure is given below with reference to the drawings of the embodiments of the present disclosure. Apparently, the described embodiments are only a part, but not all of the embodiments of the present disclosure. All of the other embodiments that may be obtained by those skilled in the art based on the embodiments in the present disclosure without any inventive effort fall into the protection scope of the present disclosure.

[044] Unless otherwise defined, technical or scientific terms used in the present disclosure shall have the usual meaning understood by those skilled in the art which the present disclosure belongs. The terms "first", "second", and similar terms used in the present disclosure do not indicate any order, quantity, or importance, but are only used to distinguish different components.
Similarly, similar terms such as "a", "one", or "the" do not indicate a quantity limit, but rather indicate the existence of at least one. The terms such as "include" or "contain" indicate that the components or objects appeared before includes the components, objects or their equivalents listed after, and without excluding other components or objects. The terms such as "connection"
or "coupling" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. The terms "up", "down", "left", "right" and so on are only used to represent relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[045] Generally, modeling methods used for the device management network are often limited to the devices themselves in the network, and the construction of network models is limited to the devices that directly constitute the network. The related factors that have a significant impact on the network are not considered as a component of the network. In addition, a network model composed of a limited variety of devices is only a representative of the physical network composition in the information world in current life, and the network in the physical world cannot be improved by analyzing the model. FIG. 1 is a schematic diagram of system simulation.
It can be found that: first, the one-way mapping from the physical world to the information world causes the model itself being only a reflection of the existing device types, which brings a great limitation to analyze the model; and second, it is impossible to analyze and improve the real network in the physical world by changing the simulation model in the information world, the virtual information model is just a one-way mapping of the physical world, and the real network in the physical world cannot be improved by changing the virtual model, so that the interaction between the two is quite difficult.

[046] At least one embodiment of the present disclosure provides a modeling analysis method for a device management network, applying to a user terminal, and the method includes:
collecting position information, type information, and status information of a physical node, where the collecting is achieved by one of user inputting, a positioning function of the user terminal, and acquiring the position information, the type information, and the status information of the physical node through photographing and automatic recognition functions of the user terminal; automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node to automatically connect the plurality of the physical node into a line, and automatically displaying the plurality of the physical node and the line between the plurality of the physical node at a corresponding position on an electronic map as background; and automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model.
And at least one embodiment of the present disclosure further provides an analysis method for operating range based on the modeling analysis method above, an update method for a network model, a user terminal, and a network server.

[047] At least one embodiment of the present disclosure provides a modeling analysis method for a device management network, and the method may automatically construct, according to predetermined connection rules, the network model for rapid analysis based on device information acquired by the user terminal, so that users can view network diagrams and results of the network analysis in real-time, quickly, and automatically, to improve the real network in the physical world through rapid analysis based on the network model.

[048] The following is a non-limiting explanation of the modeling analysis method provided according to at least one embodiment of the present disclosure through several examples or embodiments. As described below, different features in these specific examples or embodiments can be combined with each other without conflicting to obtain new examples or embodiments, which also fall into the protection scope of the present disclosure.

[049] FIG. 2 is an architecture diagram of a device management system provided by at least one embodiment of the present disclosure. Referring to FIG. 2, a user terminal 201 is signal connected to a simulation analysis server 202, and the simulation analysis server 202 is signal connected to a management terminal 203. The user terminal 201 is associated and communicated with the management terminal 203 through the simulation analysis server 202.
According to at least one embodiment of the present disclosure, there may be multiple management terminals 203 and user terminals 201, which are respectively signal connected to the simulation analysis server 202 to form the device management system.

[050] For example, the user terminal 201, the simulation analysis server 202, and the management terminal 203 can communicate with each other through a wired or wireless network.
The wired network is, for example, a wired local area network, a wide area network, or a wired telephone communication network. The wireless network is, for example, a wireless local area network, mobile internet (for example, 2G/3G/4G/5G), WiFi and so on. It should be noted that the specific communication methods between them are not limited to the embodiments of the present disclosure.

[051] For example, the user terminal 201 may be a mobile device with a wireless positioning function, such as a mobile phone terminal and a tablet computer. For example, the user terminal 201 may use positioning methods, such as mobile base station positioning, WiFi positioning, GPS positioning, to acquire position information, which is not limited to the embodiments of the present disclosure. For example, in an embodiment of the present disclosure, the management terminal 203 may be a computer, an all-in-one machine and so on, which is not limited to the embodiments of the present disclosure. For example, the simulation analysis server 202 may be a certain device management network. For example, it may be deployed on some computers, all-in-one machines, or user terminals. Of course, the simulation analysis server 202 may be a cloud server or a local server, which is not limited to the embodiments of the present disclosure.
The simulation analysis server 202 may be connected with one or more user terminals 201, and the data acquired by the user terminal 201 may be sent to the simulation analysis server 202 for storage or processing.

[052] It should be noted that in an embodiment of the present disclosure, the device management network may include, for example, public facility management systems such as a power grid management system, a water pipeline network management system, or a gas pipeline network system, of course, it may also include other similar device management networks such as a cable television network and a communication network, which is not limited to the embodiments of the present disclosure. For example, in an embodiment of the present disclosure, the device network in the physical world corresponds to the simulation network in the information world, that is the network model, and the various devices in the device management network correspond to various nodes in the network model. In an example, taking the power grid management network for example, the nodes in the power grid model may represent switches, transformers, poles, telecommunication base station devices and the like in the power grid. In another example, taking the water pipeline network management system for example, the nodes in the water pipeline network model may represent valves, water pumping stations, and water treatment plants in the water pipeline network. In still another example, taking the gas pipeline network management system for example, the nodes in the gas pipeline network model may represent gate stations, gas valves, compensators, gas storage devices and the like, which are not specifically limited to the embodiments of the present disclosure, and can be set based on actual needs.

[053] The following is a detailed description of the modeling analysis method for the device management network provided by at least one embodiment of the present disclosure with reference to the drawings.

[054] FIG. 3 is a flowchart of a modeling analysis method for a device management network according to at least one embodiment of the present disclosure. For example, at least one embodiment of the present disclosure provides a modeling analysis method 10 for a device management network, applying to a user terminal, and as shown FIG. 3, the method includes the following steps S101-S 103.

[055] It should be noted that, in the embodiments of the present disclosure, steps S101-S103 may be executed sequentially, or executed in other adjusted orders, and some or all of the steps may be executed in parallel, for example, step S102 and step S103 may be executed simultaneously. The embodiments of the present disclosure do not limit the execution order of each step and the order can be adjusted based on actual situations. For example, in the embodiments of the present disclosure, steps S101-S103 can be executed in a separate user terminal, for example, the user terminal can automatically connect to the intemet through mobile internet, and the above steps S101- S103 can be executed online in real-time by the user terminal.
For example, a part of operation can also be implemented on simulation analysis servers (such as cloud server), which is not limited to the embodiments of the present disclosure. For example, in some examples, the modeling analysis method 10 provided by at least one embodiment of the present disclosure may selectively perform some steps in steps S101-S103, or may perform some additional steps in addition to steps S101-S103, which is not limited to the embodiments of the present disclosure.

[056] Step S101: Collecting, through the user terminal, position information, type information, and status information of a physical node, where the collecting is achieved by one of user inputting, a positioning function of the user terminal, and acquiring the position information, the type information, and the status information of the physical node through photographing and automatic recognition functions of the user terminal.

[057] For example, to facilitate the display of network diagrams (such as power grid diagrams, water pipeline diagrams, gas pipeline diagrams, and so on), each type of device in real life is treated as a physical node. As basic units of the network physical system, the physical nodes are the reflection of various physical devices in real life in the simulation network model, and they participate in the display of network diagrams through the basic physical connection rules. For example, in an example, the operator carries a mobile device with wireless positioning function (such as a mobile phone) and collects information of physical nodes along a scheduled route (such as a street in a certain area). For example, in an example, the information of a physical node includes position information, type information, state information, image information, and so on, which is not limited to the embodiments of the present disclosure.

[058] For example, in at least one embodiment of the present disclosure, taking the power grid modeling for example, it may include various types of physical nodes such as substations, ring main units, public transformers, switches, poles, and so on. For example, the operator collects, through locating the user terminal (such as a mobile phone), the position information at a certain device (such as a ring network cabinet) on the street as the position information of the physical node. For example, the operator (or user) may select or input the position and type of the device on the user terminal. For example, the operator (or user) may select the device type, such as "transformer", on the user terminal. For example, the operator (or user) may input the position information, such as the longitude and latitude, of the device on the user terminal. For example, the operator may also select or input the status, such as "connected" or "disconnected", of the device on the user terminal. For example, the operator may select or input the number and name, such as "switch 1", of the device on the user terminal. For example, the operator may take photos of the device and its surrounding environment by the user terminal, so that the device type and the position of the device may be automatically recognized based on the captured device image. In this way, the user terminal can collect the position information, the status information, the type information, the image information, and so on, of the physical node, which is not specifically limited to the embodiments of the present disclosure.

[059] Step S102: Automatically constructing, according to a first predetermined rule, a physical layer model based on the position information and the type information of a plurality the physical node to automatically connect the plurality of the physical node into a line, and automatically displaying the plurality of the physical node and the line between the plurality of the physical node at a corresponding position on an electronic map as background.

[060] In an example, for the device management network to be modeled, first, the device types involved in the network are listed, the devices are defined as physical nodes, and connection rules between various types of physical nodes are defined, that is, the first predetermined rule. Taking the power grid model for example, the first predetermined rule may include a rule that a pole node is automatically connected to another pole node closest to it; or the first predetermined rule may include a rule that a switch node is automatically connected to the closest transformer node.
It should be noted that, in the embodiments of the present disclosure, the first predetermined rule may be set based on experience, actual needs, and so on, which is not specifically limited to the embodiments of the present disclosure.

[061] In an example, for a physical layer model, after defining the types and connection rules of physical devices, a diagram with an electronic map as background can be formed, based on the obtained device information, to visually display the types and distribution of various physical devices, which is the foundation for fast network diagram display. In an example, when constructing a physical layer model, the received device points can be automatically connected into a line according to the first predetermined rule. In an example, when constructing a network, based on the principle that two points determine a straight line, only the nodes at both ends are collected and then the connection line between the two points is automatically drawn according to the predetermined connection rules. In this case, the first point is the determined node, and when the second node is collected, a predetermined connection rule (such as the first predetermined rule) is used to determine which node it should be connected to, and this is the foundation for quickly constructing a network model and displaying the network diagram.

[062] In an example, automatically display the physical nodes and the line between the physical nodes at a corresponding position on an electronic map as background.
For example, the electronic map can be stored locally or downloaded from the network, which is not limited to the embodiments of the present disclosure.

[063] FIG. 4 is a schematic diagram of a physical layer model of a power grid provided by at least one embodiment of the present disclosure.

[064] For example, in at least one embodiment of the present disclosure, taking power grid modeling for example, to facilitate rapid display of the power grid, each type of power grid device in real life is treated as a corresponding physical node. In an example, as shown in FIG. 4, the physical layer model includes four types of device: poles, substations, switches, and transformers. It should be noted that the type of power grid devices is not limited to the embodiments of the present disclosure. For example, in an example, the substations are used as power supplies to supply power to the power grid; the poles play a role of supporting; the wires between the poles constitute the physical lines of the power grid; the switches play a segmented control role in the lines; the transformers are the final power consuming devices; and the switches and the transformers are mounted on the poles.

[065] In an example, to facilitate the rapid construction of the power grid diagram, the first predetermined rule may be defined as follows: the line starts from the power supplies (substations), and the number of the second device is the number of the first device plus 1. For example, starting from pole 1, if next devices to be added are poles, these nodes will automatically be named as pole 2, pole 3, and so on; if the next device to be added after the pole 1 is a switch, this switch will be manually named (for example, by selecting or inputting) as switch 1; if the next device to be added is still a switch, this switch will be automatically named as switch 2, and so on. In this way, with the continuous increase of poles, the pole as basic physical unit is automatically connected to the pole with previous number. For example, correspondingly, the serial numbers of the switches mounted on the poles are automatically increased. In this way, the displaying of the power grid diagram may be quickly completed with the electronic map as the background, as shown in FIG. 4.

[066] In an example, the increasing direction of the number of each type of physical node may indicate the direction of the signal or fluid in the device management network. For example, the device management network is a power grid management network, and the direction of the signal or fluid in the device management network may be the power supply direction of the power grid management network. For another example, the device management network is a water pipeline management network, and the direction of the signal or fluid in the device management network may be the direction of water supply. For still another example, the device management network is a gas pipeline management network, and the direction of the signal or fluid in the device management network may be the direction of gas supply. It should be noted that this is not specifically limited to the embodiments of the present disclosure.

[067] For example, in the physical layer model of the power grid shown in FIG.
4, taking the poles for example, the increasing direction of the number of the poles may indicate the power supply direction of the power grid. In an example, the power supply direction may be defined as the direction from a pole with a small number to a pole with a large number.
In this way, the current flow direction, that is the power supply direction, may be displayed by identifying the number of poles. For example, the power supply direction may be from pole 1 to pole 2, then to pole 3, and so on. For example, the power supply direction may be from switch 1 to switch 2, then to switch 3, and so on. Of course, in case of adjusting operation mode of the power grid, the power supply direction may be from pole 6 to pole 5, then to the pole 4, and so on. The power supply direction is not limited to the examples of the present disclosure, and may be set according to actual needs.

[068] For example, in at least one embodiment of the present disclosure, for the physical layer model, based on information of the device nodes (that are, physical nodes) collected by the user terminal (such as a mobile phone), the collected physical nodes are automatically connected, according to a predetermined connection rule (for example, the first predetermined rule), to form a line, so that a network diagram can be quickly constructed without manual drawing.

[069] Step S103: Automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model.

[070] In an example, to the logical layer model, based on different types and operating status (such as connected or disconnected) of the physical nodes, the received device points may be automatically connected, according to the second predetermined rule, to form a logical network to determine a topological relationship between adjacent nodes in the network, that is, the topological structure of the logical layer model, which is the foundation for network diagram analysis. In an example, taking power grid modeling for example, the second predetermined rule may include a rule that a substation node is automatically connected to the closest switch node, a switch node is automatically connected to the closest transformer node. It should be noted that the second predetermined rule may be set based on experience, actual needs, and so on, which is not specifically limited to the embodiments of the present disclosure.

[071] In an example, the logical layer and the physical layer can be the same layer. In this case, all physical nodes are logical nodes, but the search workload during network search analysis is too large.

[072] FIG. 5 is a flowchart corresponding to step S103 in a modeling analysis method provided by at least one embodiment of the present disclosure. In an example, as shown in FIG.
5, to improve the efficiency of network search analysis, step S103 may include the following steps:

[073] Step S131: Determining, based on the type information and the status information of the plurality of the physical node, a physical node meeting the first predetermined condition among the plurality of the physical node as a logical node.

[074] Step S132: Automatically constructing, according to the second predetermined rule, a logical layer model based on the type information and the status information of the logical node.

[075] In an example, the first predetermined condition may be participating in logical judgment of the network model, that is, participating in the status analysis of the network model.
In this way, the number of physical devices involved in the network model may be greatly reduced, and search efficiency can be improved. The logical layer mainly mentioned below refers to a logical layer composed of these simplified logical nodes. It should be noted that the specific content of the first predetermined condition is not limited to the embodiments of the present disclosure, and may be set according to actual needs.

[076] For example, in at least one embodiment of the present disclosure, taking power grid modeling for example, if the power grid devices in the physical layer are all regarded as the logical nodes, they will participate in the network analysis and the search workload will be huge.
To improve the search efficiency of the network, devices participating in the logical judgment (status judgment) in the power grid system and electric equipments at line terminals are regarded as logical nodes.

[077] FIG. 6 is a schematic diagram of a logic layer model of a power grid provided by at least one embodiment of the present disclosure. For example, in at least one embodiment of the present disclosure, taking power grid modeling for example, the logical nodes include three types of devices: substations, switches, and transformers. As shown in FIG. 6, the substations supply power to the switches, and the switches supply power to the transformers. The poles, which play the only role of supporting, do not participate in the network analysis of the system, so they are not devices corresponding to the logical nodes.

[078] In an example, the second predetermined rule may be defined as follows:
taking the substations as the original power supply points, the power of a switch coming from the substations or the upper-level switches, and the power to the transformers coming from the switches. According to such a second predetermined rule, first, the position of the substations is defined as the power supply points on the electronic map of the physical layer; with the appearance of a switch, the closest substation or switch is automatically searched and its upper-level power supply is determined based on the number of the pole corresponding to the switch and establish a logical connection between them. For example, with the appearance of a transformer, the closest switch is automatically searched, and the appropriate power supply point is determined to establish a logical connection between them. In this way, the logical layer of the power grid may be quickly constructed, as shown in FIG. 6.

[079] For example, in at least one embodiment of the present disclosure, step S102 and step S103 may be executed synchronously, that is, the physical layer model and the logical layer model can be constructed at the same time, so as to quickly construct a network model and quickly display a network diagram with an analysis function.

[080] Therefore, in the modeling analysis method 10 for a device management network provided by at least one embodiment of the present disclosure, data may be acquired by the user terminal, the physical display of devices and the logical relationships of devices may be automatically processed at one time according to the predetermined connection rules, and the subsequent change in the rules will automatically change the connection of the logical relationships, so that users can check the network diagram and network analysis results in real time, quickly, and automatically, so as to improve the real network of the physical world based on the rapid analysis of the network model. In addition, by selecting logical nodes from physical nodes, the search workload is greatly reduced and the search efficiency of the network is improved.

[081] For example, in at least one embodiment of the present disclosure, the automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node includes:
when the position information and/or the type information of the physical node is changed (or updated) through the user terminal, with the electronic map as background, automatically disconnecting, a line among original lines, failing to conform to the first predetermined rule based on changed (or updated) information and automatically connecting, according to the first predetermined rule, a line between a changed physical node and an adjacent physical node therefor.

[082] For example, in at least one embodiment of the present disclosure, it is assumed that the existing power grid model includes node 1, node 2, and node 3, node 1 is line connected to node 2, and node 2 is line connected to node 3. In a case where nodes 1, 2 and 3 are all poles, when the user moves pole node 2 by, for example, a mobile phone terminal, that is, when the position information of node 2 is changed, automatically disconnects the lines between pole node 2 and nodes 1 and 3 respectively before moving, and based on the changed node information, automatically forms, according to the first predetermined rule, a line between the moved pole node 2 and pole nodes 1 and 3 respectively. It should be noted that, based on the changed node information, if pole node 2 is still connected to pole nodes 1 and 3 respectively according to the first predetermined rule, the user may find on the mobile phone interface that the line between node 1 and node 2 and the line between node 2 and node 3 move along with the movement of node 2 due to the rapid update of the model.

[083] In an example, in a case where nodes 1, 2 and 3 are all poles, when the user adds a new pole node 4 between pole node 2 and pole node 3 through, for example, a mobile phone terminal, automatically disconnects the line between node 2 and node 3, and based on the changed node information, automatically forms, according to the first predetermined rule, a line between pole node 2, pole node 3 and pole node 4. If the original line between node 2 and node 3 overlaps with the updated lines between node 2, node 3 and node 4, due to the rapid update of the model, the user may find on the mobile phone interface that the node 4 is added to the line between node 2 and node 3.

[084] In another example, in a case where nodes 1, 2 and 3 are all poles, when the user deletes pole node 2 through, for example, a mobile phone terminal, automatically disconnects the lines between pole node 2 and pole nodes 1 and 3 respectively. And based on the changed node information, if pole node 1 is automatically connected, according to the first predetermined rule, with pole node 3, the user may find on the mobile phone interface that a line between node 1 and node 3 is automatically formed while node 2 disappears from the electronic map due to the rapid update of the model.

[085] In still another example, in a case where node 1 is a substation, node 2 is a switch, and node 3 is a transformer, when the user deletes node 2 through a mobile phone terminal, if node 1 cannot be directly connected to node 3 according to the first predetermined rule, the user may find on the mobile phone interface that the lines between node 2 and the nodes 1 and 3 respectively are automatically disconnected while node 2 disappears from the electronic map.

[086] Therefore, according to the modeling analysis method 10 provided by the embodiments of the present disclosure, when the physical node information changes, for example, a certain physical node being moved, deleted, or added, the physical layer model will automatically change, that is, a line will be automatically formed based on the changed physical node information. This could avoid the waste of huge human resources to manually modify the lines and also avoid the situations where it cannot be connected.

[087] For example, in at least one embodiment of the present disclosure, for step S102, the automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node includes: while the user terminal remains mobile, in response to collecting position information and the type information of a physical node, real-time displaying the physical node and a line ,automatically generated, between the physical node and an adjacent physical node of the physical node.

[088] For example, in at least one embodiment of the present disclosure, when the user acquires information about the surrounding nodes along a route by walking with a user terminal (such as a mobile phone), in response to the acquired information of the nodes, the user terminal will automatically display the acquired physical node and a line between this physical node and an adjacent physical node on the electronic map in real time. In this way, the user can check the network diagram on the user terminal in real time, quickly and automatically.

[089] To extend the existing network model without destroying the original physical layer model and logical layer model, at least one embodiment of the present disclosure further provides a modeling analysis method 20 for a device management network. The modeling analysis method 20 further includes the following steps in addition to steps S101-S103.

[090] Step S201: Collecting position information of an additional node, and acquiring type information and status information of the additional node.

[091] Step S202 Constructing an additional layer model based on the position information, the type information, and the state information of the additional node for expanding the network model.

[092] Step S203: With the electronic map as background, automatically displaying the type information and the state information of the additional node at a corresponding position.

[093] For example, in at least one embodiment of the present disclosure, the additional node corresponds to an additional device that appears with the extension of system functions and has a significant impact on system analysis. For example, the additional device may be a basic constituent part for a certain auxiliary status. With the increase of system functions, there may be many kinds of such auxiliary statuses, and each status may have many constituent units. The additional device is added after the network model is constructed, and may be displayed as new physical units, without affecting the original physical connection of the network, or may be regarded as new logical units to participate in the analysis, without affecting the original logical connection of the network. Additional nodes exist as additional statuses of physical or logical networks, which have more effects on the analysis of the network. Additional nodes in the additional layer model include a physical status of the additional device, or a logical connection status of the additional device, or both. The additional device may be a device with a physical status, which is directly added to the device type for the physical layer model, for the purpose of diagram displaying. Since they are added to the diagram later, they will not destroy the connection of the original devices and will not affect the displaying of the original physical network. The additional device may be a device with a logical connection status. The connection between the devices may be based on a certain rule, or may be formed without any rule. They can participate in network analysis to enrich the content of system analysis.
The additional layer model is the basis for the continuous extension of the network model and also the foundation of advanced network analysis.

[094] FIG. 7 is a schematic diagram of an additional layer model of a power grid provided by at least one embodiment of the present disclosure.

[095] For example, in at least one embodiment of the present disclosure, taking power grid modeling for example, as shown in FIG. 7, the additional device in the power grid system may be a power grid monitoring device attached to a pole or wire, or may be a device that sends light or images to a pole with a receiving function, for example, an image monitoring device, a light monitoring device, and so on, which is not limited in the embodiments of the present disclosure.
For example, the additional device may not be a basic constitute unit of the physical layer in the power grid model, and the power grid may not rely on the additional device.
The additional device may not be a basic constitute part of the logical layer in the power grid model, and the basic analysis of the network may not rely on the additional device. Depending upon different functions of the additional devices, a additional device may monitor the magnitudethe of current according to the device directly mounted on the wire or pole, may make a determination on power outage indirectly by the surrounding light sources, and may provide an early warning of power outage by analyzing the images of the surrounding fires. With the extension of system functions in the future, more sources of additional information may be extended, which is not limited to the embodiments of the present disclosure. For example, the additional device may be a physical device, for example, a power grid monitoring device, which may be displayed in the constitution of the physical network and may participate in network analysis at the logical layer.
For another example, the additional device may be non-physical device information such as light and images, and may participate in network analysis only at the logical layer.
Since the additional device is added after the construction of the basic physical layer model and logical layer model, it does not affect the original connections of the physical layer and the logical layer, but it plays a dramatic role in the advanced analysis of the power grid.

[096] For example, in the device type of the additional layer, the grid monitoring device is mounted on a pole or a line. It monitors whether the power grid has electricity in real time by providing information, and participates in the analysis of the power supply status of the power grid. Therefore, it has a physical status and a logical connection status. Its mounting position may be displayed in the power grid diagram, and may be used as part of the line or device attributes, so that the line or device participates in the logical analysis, as shown in FIG. 7.

[097] FIG. 8A is a hierarchical schematic diagram of a system structure provided by at least one embodiment of the present disclosure. FIG. 8B is a schematic diagram of a simulation system model provided by at least one embodiment of the present disclosure.
And FIG. 8C is a diagram of a power grid system provided by at least one embodiment of the present disclosure.

[098] As shown in FIGS. 8A and 8B, in at least one embodiment of the present disclosure, the superposition of the physical layer model, the logical layer model, and the additional layer model above can form a complete structure of the network model. For example, based on the acquired position information, type information, and status information of various physical devices, different types of devices are processed differently to quickly complete the construction of a simulation network model, for example, the simulation network model shown in FIG. 8B.

[099] For example, in an example, taking power grid modeling for example, as shown in FIG.
8C, when the network model is constructed, the construction of the physical layer and logical layer model of the power grid may be automatically and synchronously completed according to the predetermined physical and logical connection rules, and the additional layer is added according to various monitoring devices which are added subsequently. For example, the physical layer model enables the power grid diagram to be displayed normally, the logical layer model enables the power grid diagram to have an analysis function, and the additional layer model enables the power grid diagram to perform analysis and judgment automatically and quickly. The three layers together form a network model that can display the status of the power grid in real time and can quickly and automatically provide fault analysis results, for example, power outage analysis results.

[0100] In an example, in at least one embodiment of the present disclosure, taking power grid modeling for example, as shown in FIG. 8C, with collecting poles and devices in numbered order starting from power supply as a substation, and the construction of the physical layer model and the logical layer model is executed synchronously based on the different types of devices. Then, according to the position of the monitoring devices on the poles and wires, the devices are displayed on the power grid diagram at the physical layer.
Meanwhile, the monitoring devices are added to the additional layer as the attributes of the wires and poles on which they are mounted. By displaying the power grid status information (power available or power outage), the wires and poles that do not have logical analysis function participate in the logical analysis, as part of the advanced analysis of the power grid, to establish a network model that can display the status of the power grid in real time.

[0101] For example, in at least one embodiment of the present disclosure, the above modeling analysis methods may also include: automatically displaying a direction of a signal or a fluid in the device management network on the electronic map based on the topological relationship between logical nodes in the logical layer model.

[0102] In an example, the automatically displaying a direction of signal or fluid in the device management network on the electronic map includes: on the electronic map, displaying the direction of signal or fluid in the device management network through an arrow. Of course, other methods (such as simulation analysis results and so on) may also be used to display the direction of signal or fluid, which is not limited to the embodiments of the present disclosure.

[0103] For example, in at least one embodiment of the present disclosure, the device management network may be a power grid management network, and the direction of the signal or fluid in the device management network is the power supply direction in the power grid management network. Of course, it is not limited to the embodiments of the present disclosure.

[0104] For example, in at least one embodiment of the present disclosure, the modeling analysis method may further include: displaying a simulation analysis result in response to an analysis function in a scene interface being triggered.

[0105] For example, in at least one embodiment of the present disclosure, the network model constructed based on step S102 and step S103 has a network analysis function.
For example, in an example, there are analysis function buttons in the scene interface displayed by the user terminal. When the user triggers a certain analysis function button, in response to the analysis function button in the scene interface being triggered, the user terminal will display a corresponding simulation analysis result. For example, taking power grid modeling as an example, when the user triggers a power outage analysis button on the user terminal, the user terminal will automatically display a corresponding power outage analysis result.

[0106] For example, in at least one embodiment of the present disclosure, in response to the analysis function in the scene interface being triggered, the simulation analysis result is displayed by controlling the change in color of the line. For example, in an example, if a switch in a certain power grid line is turned off to cause a power outage situation, then, in response to the power outage analysis function in the scene interface being triggered, the user is notified of the power outage situation of the line by changing the color of the line controlled by the switch.
Of course, the user can be notified of the power outage situation of the line in other ways, for example, sending a message to the user in a specific region, which is not specifically limited to the embodiments of the present disclosure.

[0107] For example, in at least one embodiment of the present disclosure, the displaying a simulation analysis result in response to an analysis function in a scene interface being triggered is automatically executed online in real-time through the user terminal, such as through the mobile internet, which is not specifically limited to the embodiments of the present disclosure.

[0108] For example, in at least one embodiment of the present disclosure, the collecting, through the user terminal, position information, type information, and status information of a physical node is executed online in real-time through mobile internet. And the user terminal may also automatically connect to the network through other means, which is not specifically limited to the embodiments of the present disclosure.

[0109] For example, in at least one embodiment of the present disclosure, after performing the data acquisition operation (for example, step S101 or step S201), the user terminal may send, through the mobile internet (for example, 5G, 4G, and so on), the acquired node information (for example, the position information, type information, and status information of the physical node and/or additional node) to a simulation analysis server to construct a network model on the simulation analysis server side, and then, receive a simulation analysis result from the simulation analysis server via the mobile internet, for the purpose of displaying. Of course, the specific communication method between the user terminal and the simulation analysis server is not limited in the embodiments of the present disclosure. The specific operations on the simulation analysis server side will be described in detail below.

[0110] For example, in at least one embodiment of the present disclosure, the user terminal (for example, a mobile phone) may be automatically connected to the internet via the mobile interne, and the above modeling analysis methods 10 and 20 may be automatically executed by the user terminal online in real time, which is not limited to the embodiments of the present disclosure.

[0111] By the modeling analysis method according to at least one embodiment of the present disclosure, a network model is constructed quickly in a classification and hierarchical manner, according to predetermined rules (for example, the first predetermined rule, the second predetermined rule, and so on). Through the superposition of the additional layer, a space is reserved for unlimited network extension, without affecting the original network structure. The above modeling analysis methods 10 and 20 according to at least one embodiment of the present disclosure has, but is not limited to, the following advantages.

[0112] First, the construction of the existing network model requires a lot of manual participation. It is often necessary to manually establish a logical connection after acquiring the position and attribute information of the devices. As the logical relationship changes (for example, the relationship between the power grid devices changes from a parent-child relationship to a connected relationship), the logical connection between the devices needs to be manually processed.

[0113] FIG. 9A is a schematic diagram of dual power supply according to at least one embodiment of the present disclosure, and FIG. 9B is a schematic diagram of dual power supply conversion according to at least one embodiment of the present disclosure. As shown in FIG. 9A, in the case of dual power supply, normally, the substation on the right is in the off-state indicated by a dotted line, and the power comes from the substation on the left. Then, the substation on the left supplies power to the transformer by switches stepwise. The power supply direction between the devices may be expressed in a logical relationship from parent to child.
As shown in FIG. 9B, when the substation on the left is in the off-state indicated by the dotted line, the power comes from the substation on the right. As shown, the power supply direction of the switches changes.
In this case, the original parent-child relationship is wrong, and the parent-child relationship between the devices in the model must be changed to a connected relationship.
In this case, by the modeling analysis method 10 and 20 according to at least one embodiment of the present disclosure, it is just needed to change the settings of the connection rule of the model to automatically complete the rapid adjustment of the logical relationship, without needing major adjustments.

[0114] Second, the extension of the existing network model is limited. With the addition of new types of devices, the original model structure must be modified. By the modeling analysis method 20 according to at least one embodiment of the present disclosure, the establishment of the third additional layer provides an opportunity for the unlimited extension of the network model; and, the addition of new devices does not destroy the display of the existing physical layer and the structure of the logical layer connection, without great impact on the existing model, just an additional effect.

[0115] Third, the number of logical devices is simplified, and the efficiency of search and analysis is greatly improved. By the definition of devices at the logical layer and the additional layer, the number of devices participating in network analysis may be automatically adjusted at any time. This greatly improves the efficiency of search and analysis, and facilitates the change of network analysis model.

[0116] The modeling analysis method performed by the user terminal according to the embodiments of the present disclosure has been described above, and the modeling analysis method performed by a management terminal according to the embodiments of the present disclosure will be further described below. This method corresponds to the method in the above embodiments. For brevity of the description, only a brief description is given below. For details, please refer to the modeling analysis method in the above embodiments.

[0117] For example, at least one embodiment of the present disclosure provides a modeling analysis method for a device management network, which applies to a management terminal and includes the following steps.

[0118] Step S301: Acquiring position information, type information, and status information of a physical node.

[0119] For example, in at least one embodiment of the present disclosure, the way for a management terminal to acquire information about physical nodes may be:
manually entering node information into the management terminal by an operator, reading the node information stored locally, downloading the node information from the internet, scanning pictures for automatic identification of node information, and so on. The way for the management terminal to acquire node information is not limited to the embodiments of the present disclosure.

[0120] Step S302: Automatically constructing, according to a first predetermined rule, a physical layer model based on the position information and the type information of a plurality of the physical node to automatically connect the plurality of the physical node into a line, where the physical layer model is used for automatically displaying the plurality of the physical nodes and the line between the plurality of the physical node at a corresponding position on an electronic map as background.

[0121] Step S303: Automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model.

[0122] For example, in at least one embodiment of the present disclosure, the operations of step S302 and step S303 may be the same as or similar to the above step S102 and step S103 respectively. For the description of these operations, please refer to the relevant description of step S102 and step S103, which will not be repeated here.

[0123] For example, in at least one embodiment of the present disclosure, corresponding to the above steps S201-S202 performed by the user terminal, the management terminal may obtain position information, type information, and status information of an additional node; construct an additional layer model based on the position information, the type information, and the status information of the additional node to extend the network model; and automatically displaying the additional node at the corresponding position on the electronic map as background.

[0124] In an embodiment of the present disclosure, the management terminal may have a management function in addition to performing operations similar to the modeling analysis method performed by the user terminal. For example, when the user terminal acquires node information and generates a corresponding network diagram and a network analysis result, the operator may confirm the validity or invalidity of the information by the management terminal after conducting on-site verification. For example, in an example, the operator may maintain system data by the management terminal, manage user accounts, grant user permissions, determine version updates, and so on. It is not specifically limited to the embodiments of the present disclosure.

[0125] For example, in at least one embodiment of the present disclosure, similar to the user terminal, after acquiring the node information, the management terminal may send, through mobile internet, the wireless local area network, and so on, the acquired node information (for example, the position information, type information and status information of the physical node and/or additional node) to a simulation analysis server to construct a network model on the simulation analysis server side, and then, receive a simulation analysis result from the simulation analysis server via the mobile internet, the wireless local area network, and so on, for the purpose of displaying. Of course, the specific communication method between the management terminal and the simulation analysis server is not limited to the embodiments of the present disclosure.

[0126] For example, in at least one embodiment of the present disclosure, similar to the user terminal, the management terminal may be automatically connected to the internet through mobile internet, and the above modeling analysis method 10 and 20 may be automatically executed by the management terminal online in real time, which is not limited to the embodiments of the present disclosure.

[0127] The modeling analysis method performed by the management terminal according to the embodiments of the present disclosure has been described above, and the modeling analysis method performed by a simulation analysis server according to the embodiments of the present disclosure will be further described below. This method corresponds to the method in the above embodiments. For brevity of the description, only a brief description is given below. For details, please refer to the modeling analysis method in the above embodiments.

[0128] For example, at least one embodiment of the present disclosure provides a modeling analysis method for a device management network, applying to a simulation analysis server, and the method includes the following steps:

[0129] Step S401: Acquiring position information, type information, and status information of a physical node.

[0130] In an example, the simulation analysis server may receive position information, type information, and status information of a physical node from a user terminal through mobile internet, wireless local area network, and so on. It may also include other information, such as image information, and so on, which is not limited to the embodiments of the present disclosure.
In an example, the simulation analysis server may receive the position information, the type information, and the status information of the physical node from a management terminal through mobile internet, wireless local area network, and so on.

[0131] Step S402: Automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node to automatically connect the plurality of the physical node into a line, where the physical layer model is used for automatically displaying the plurality of the physical node and the line between the plurality of the physical node at a corresponding position on an electronic map as background.

[0132] Step S403: Automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model.

[0133] Step S404: Generating a simulation analysis result in response to receiving request data.

[0134] The operations of step S402 and step S403 may be respectively similar to the step S102 and step S103 above. For the description of these operations, please refer to the relevant description of step S102 and step S103, which will not be repeated here.

[0135] For example, for step S404, in response to the simulation analysis server receiving request data from the user terminal or the management terminal (such as power outage analysis, power tracking, and so on), a simulation analysis result is generated and sent to the user terminal or management terminal for user viewing.

[0136] For example, in at least one embodiment of the present disclosure, the simulation analysis server may receive the position information, the type information, and the status information of the physical node from a user terminal for constructing the network model on the simulation analysis server side, and send the simulation analysis result generated on the simulation analysis server side to the user terminal.

[0137] For example, in at least one embodiment of the present disclosure, the receiving the position information, the type information, and the status information of the physical node from a user terminal includes: receiving the position information, the type information, and the status information of the physical node from the user terminal through mobile internet. For example, the sending the simulation analysis result to the user terminal includes:
sending the simulation analysis result to the user terminal through mobile internet. It should be noted that the communication methods between the user terminal and the the simulation analysis server are not specifically limited to the embodiments of the present disclosure.

[0138] For example, in at least one embodiment of the present disclosure, the modeling analysis method applied to the simulation analysis server may further include:
in response to receiving information from an additional node, an additional layer model is constructed, based on the information from the additional node, for expanding the network model.
For descriptions on the operation of constructing an additional layer model, please refer to the relevant description of step S202 above, which will not be repeated here.

[0139] For example, at least one embodiment of the present disclosure provides a modeling analysis method applied to a power grid management system, and the method includes:

[0140] Step S601: Collecting, through the user terminal, position information, type information, and status information of a power grid device, where the collecting is achieved by one of user inputting, a positioning function of the user terminal, and acquiring the position information, the type information, and the status information of the power grid device through photographing and automatic recognition functions of the user terminal.

[0141] Step S602: Automatically constructing, according to the first predetermined rule, the physical layer model based on position information and type information of a plurality of the power grid device to automatically connect the plurality of the power grid device into a line, and automatically displaying the plurality of the power grid device and the line between the plurality of the power grid device at a corresponding position on the electronic map as background.

[0142] Step S603: Automatically constructing, according to the second predetermined rule, a logical layer model based on type information and status information of the plurality of the power grid device to construct the network model.

[0143] Step S604: Displaying a power outage analysis result in response to a power outage analysis function in a scene interface being triggered.

[0144] For example, in at least one embodiment of the present disclosure, the operations of step S601 to step S603 may be respectively similar to the step S101 to step S103 above. For the description of these operations, please refer to the relevant description of step S101 to step S103, which will not be repeated here.

[0145] In an example, the power grid diagram modeled according to the above modeling analysis method may also have functions such as fault location, power supply range analysis, and power outage information transmission.

[0146] For example, in at least one embodiment of the present disclosure, the user terminal (for example, a mobile phone) may be automatically connected to the internet through the mobile internet, and the modeling analysis method applied to the power grid management system may be automatically executed by the user terminal online in real time, which is not limited to the embodiments of the present disclosure.

[0147] FIG. 10 is a schematic diagram of power grid fault location according to at least one embodiment of the present disclosure. In an example, by the above modeling analysis method, after a user acquires information about power grid devices along a route by a mobile phone, a power grid model is constructed based on the acquired information about the power grid devices.
For example, by the power tracking function, the intersection of the faulty points may be analyzed, that is, the faulty power supply point. As shown in FIG. 10, after receiving the power outage information from a user 1 and a user 2, it is found that the intersection of the upper-level power supplies is at the switch 2, so the switch 2 is a faulty power supply point. In this case, after turning off the switch 2 by the power grid company, the line from the substation to the switch 2 can resume normal power supply. In an example, it may be determined by additional devices (for example, power grid monitoring devices, image monitoring devices, and so on) that the lines, on which the user 1 and the user 2 are located, are out of power, thereby confirming that the intersection of the upper-level power supplies is at the switch 2, so the switch 2 is a faulty power supply point.

[0148] For example, at least one embodiment of the present disclosure provides an operating range analysis method according to the above modeling analysis method, and the method includes: analyzing an operating line corresponding to a physical node in a network model based on the network model composed of the physical node and a line; and automatically connecting each end node of the operating line, and forming, according to a third predetermined rule, a closed region corresponding to the physical node on an electronic map, where the closed region is the operating range corresponding to the physical node.

[0149] For example, taking the power grid management system for example, after constructing a power grid model (a network model composed of physical nodes and lines) according to the modeling analysis method, the operating range of a certain power grid device (that is, the physical node) in the power grid model may be analyzed, that is, the power supply range analysis.

[0150] FIG. 11 is an analysis diagram of power supply range provided by at least one embodiment of the present disclosure. For example, in an example, as shown in FIG. 11, after the power grid model is constructed, for the power supply range analysis function, for example, first, the line for power supply from the power supply point (for example, the substation) is analyzed, that is, the operating line. The nodes at the ends are connected to form the power supply range of this line. For example, the distance from the most distant node is the power supply distance of this line, and the system can automatically accumulate the length of sections of this line, that is, the total length of this line. In practice, the connection between nodes at the ends is usually carried out along the road on the electronic map. For example, the region between two lines may be divided according to a predetermined rule (for example, the third predetermined rule). For example, the third predetermined rule may be defined as: connecting intermediate points between adjacent devices on different operating lines to form a line as a region boundary, thereby forming a complete power supply region for each line.
It should be noted that the third predetermined rule may be set based on experience, actual needs, and so on, which is not specifically limited to the embodiments of the present disclosure.

[0151] In the example shown in FIG. 11, the respective power supply regions are formed by the operating lines to which the two substations belong. For example, first, the respective operating lines of the two substations are analyzed; then, two closed regions with independent operating lines may be formed, by automatically connecting nodes at the ends of the respective operating lines, and according to the third predetermined rule, for example, by taking the common center line of the devices as the boundary in the middle part of the two lines. Two closed regions are the respective power supply ranges of the two substations.

[0152] In an example, in response to the analysis function in the user interface being triggered, the analysis result of the power supply range may be displayed on the client.

[0153] The operating range analysis method further includes: sending information, at least including an image and text, to a user within the operating range corresponding to the physical node. In an example, when the power supply bureau in a certain place plans to repair a certain power grid device next week, information including both pictures and texts may be sent in advance to users within the operating range corresponding to the power grid device. For example, the information includes, but is not limited to, name of the device to be repaired, images of the device, images of the affected region, estimated repair time, and so on.

[0154] In an example, at least one embodiment of the present disclosure, when the fault of a certain physical node (for example, a certain power grid device) is detected, fault information may be sent to users within the operating range corresponding to the physical node. For example, the fault information includes, but is not limited to, the cause of the fault, the range of the fault (for example, map images corresponding to the range of the fault), estimated fault handling time, and name of the faulty line, and so on.

[0155] In an example, for the power outage situation in FIG. 10, by the electronic map within the power supply range of the switch 2, power outage information including both pictures and texts may be sent to users in the region by means of WeChat or the like. For example, the power outage information may include the type of the fault (for example, substation fault, switch fault, and so on), power outage line, images of the power outage region, estimated power outage time, and so on, to alleviate the anxiety of users.

[0156] In an embodiment of the present disclosure, sending information to users within the operating range corresponding to the physical node may include: sending information to individual users or enterprise users within the operating range. In an example, information may be sent to the user terminal, the management terminal, and so on, through the mobile internet, the wireless local area network, and so on. For example, the user terminal, the management terminal, and so on, can display the information on a display screen for the user to quickly check the information. The information includes at least pictures and texts. For example, it may be sent to the users in the form of multimedia message, WeChat, email, and so on, which is not specifically limited to the embodiments of the present disclosure.

[0157] It should be noted that the device operating range analysis method may be applied to a power grid management system, a water pipeline network management system, a gas pipeline network management system, and so on, which is not specifically limited to the embodiments of the present disclosure. In an example, when a water pipe fault (for example, water pipe burst, and so on) is detected, by the above device operating range analysis method, water outage information including both pictures and texts, for example, water outage time, cause of water outage, and range of water outage, and so on, may be sent to users within the water supply range of the faulty water pipe, that is, users who are out of water. In this way, the current situation that municipal companies such as the power grid company, the water supply company, and the natural gas company can release only text-based fault information can be solved.

[0158] For example, in at least one embodiment of the present disclosure, the user terminal (for example, a mobile phone) may be automatically connected to the internet via the mobile internet, and the above device operating range analysis method may be automatically executed by the user terminal online in real time, which is not limited to the embodiments of the present disclosure.

[0159] For example, at least one embodiment of the present disclosure further provides an update method for a network model. It should be noted that the update method for a network model can support distributed concurrent access and the merging of network diagrams. It should also be noted that the update method for a network model may be applied to power grid management models, water pipeline network management models, gas pipeline network management models, and so on, and may also be applied to other data management models such as road network models (for example, for Baidu Map, Google Map, and so on), meteorological data management models, and so on which is not limited to the embodiments of the present disclosure.

[0160] For example, in at least one embodiment of the present disclosure, the update method for a network model may include the following step S701 to step S704.

[0161] Step S701: Dividing an electronic map into a plurality of regions.

[0162] In an example, to facilitate rapid network modeling of a new region, the electronic map is divided into several regions according to grids or administrative boundaries.

[0163] Step S702: During a network update process, generating a corresponding network model for each of a plurality of user terminals to form a plurality of network models when receiving node information for different content of the same region from the plurality of user terminals.

[0164] In an example, the plurality of registered users may acquire data of a same region (for example, a same line, a same cell, and so on) at the same time, and simultaneous submission is supported. For example, the data submitted by each registered user may form, on the simulation analysis server, an independent submitted layer named by an independent version number.

[0165] In an example, a corresponding network model may be generated for each user terminal, based on the data submitted by each user terminal, by the modeling analysis method according to the embodiments of the present disclosure. It should be noted that a corresponding network model may be generated for each user terminal, based on the data submitted by each user terminal, by other conventional modeling methods. The modeling method is not specifically limited to the embodiments of the present disclosure.

[0166] Step S703: Selecting, according to a second predetermined condition, a network model from the plurality of network models and saving the network model as a layer, and use the layer as a submission layer corresponding to the current time.

[0167] In an example, the second predetermined condition may include at least one of the following: the number of the physical nodes included in the network model is the largest (for example, the number of devices included is the largest); the area of the map region included in the network model is the largest; the map line included in the network model is the longest; the types of the physical nodes included in the network model is the most. For example, the second predetermined condition may be that the area of the map region included in the network model is the largest and the number of the physical nodes included in the network model is the largest. Of course, the second predetermined condition may be set according to actual needs, which is not limited to the embodiments of the present disclosure.

[0168] Step S704: Selecting, according to a third predetermined condition, a submission layer from a plurality of submission layers as a time layer for updating the network model when a number of saved submission layers reaches a threshold or after a scheduled time from the first submission layer.

[0169] In an example, similar to the second predetermined condition, the third predetermined condition may include at least one of the following: the number of the physical nodes included in the network model is the largest (for example, the number of devices included is the largest); the area of the map region included in the network model is the largest; the map line included in the network model is the longest; the types of the physical nodes included in the network model is the most. Of course, the third predetermined condition may be set according to actual needs, which is not limited to the embodiments of the present disclosure.

[0170] Taking power grid modeling for example, the time layer version may be displayed on the power grid diagram, and compared with the existing layer version by displaying them in different colors. For example, the determined time layer version is updated as the official power grid model version. In an example, any registered user can evaluate the correctness of the existing power grid data by marking on the power grid diagram or submitting a layer version. It is convenient for system maintenance personnel to perform on-site verification. For the data verified to be valid, the system administrator can update part of the devices on the user terminal or the management terminal.

[0171] It should be noted that the content of the submission layer is not limited in size, and can be a section of the line or some devices. Once confirmed to be valid, it can be converted into a time layer for formal submission.

[0172] For example, in at least one embodiment of the present disclosure, the network model above may include a road network model, which is not limited to the embodiments of the present disclosure.

[0173] For example, in at least one embodiment of the present disclosure, the update method for a network model may be executed on the server side. For example, in at least one embodiment of the present disclosure, the user terminal (for example, a mobile phone) may be automatically connected to the internet through mobile internet, and the above network model update method may be automatically executed by the user terminal online in real time, which is not limited to the embodiments of the present disclosure.

[0174] Therefore, by the network model update method based on the modeling analysis method according to at least one embodiment of the present disclosure, the concurrent data acquisition by multiple persons can be effectively handled and a update method for a network model is provided.

[0175] For example, at least one embodiment of the present disclosure further provides a user terminal, which includes: a memory and a processor. The memory stores instructions, and when the processor executes the instructions, the user terminal executes any of the modeling analysis methods according to the embodiments of the present disclosure.

[0176] For example, at least one embodiment of the present disclosure further provides a network server, which includes: a memory and a processor. The memory stores instructions, and when the processor executes the instructions, the network server executes any of the modeling analysis method, the analysis method for operating range, and the update method for a network model according to the embodiments of the present disclosure.

[0177] It should be noted that:

[0178] (1) The drawings of the embodiments of the present disclosure involve only the structures involved in the embodiments of the present disclosure, and other structures may refer to common designs.

[0179] (2) The embodiments of the present disclosure and features in the embodiments may be combined to obtain new embodiments, if not conflict.

[0180] The above is only a specific implementation of the present disclosure, and is not configured to limit the protection scope of the present disclosure. The protection scope of the present disclosure should be based on the protection scope of the claims.

Claims (26)

What is claimed is:

1. A modeling analysis method for a device management network, applying to a user terminal and comprising:
collecting, through the user terminal, position information, type information and status information of a physical node, wherein the collecting is achieved by one of user inputting, a positioning function of the user terminal, and acquiring the position information, the type information and the status information of the physical node through photographing and automatic recognition functions of the user terminal;
automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node to automatically connect the plurality of the physical node into a line, and automatically displaying the plurality of the physical node and the line between the plurality of the physical node at a corresponding position on an electronic map as background; and automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model.

2. The modeling analysis method according to claim 1, wherein the automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node comprises:
when position information and/or type information of a physical node is changed through the user terminal, with the electronic map as background, automatically disconnecting a line, among original lines, failing to conform to the first predetermined rule based on changed information, and automatically connecting, according to the first predetermined rule, a line between a changed physical node and an adjacent physical node of the changed physical node.

3. The modeling analysis method according to claim 1 or 2, wherein the automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node comprises:
while the user terminal remains mobile, in response to collecting position information and the type information of a physical node, real-time displaying the physical node and a line, automatically generated, between the physical node and an adjacent physical node of the physical node.

4. The modeling analysis method according to any one of claims 1 to 3, further comprising:

collecting position information of an additional node, and acquiring type information and status information of the additional node;
constructing an additional layer model based on the position information, the type information, and the state information of the additional node for expanding the network model;
and with the electronic map as background, automatically displaying the type information and the state information of the additional node at a corresponding position.

5. The modeling analysis method according to any one of claims 1 to 4, wherein the automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the physical node comprises:
determining, based on the type information and the state information of the plurality of the physical node, a physical node meeting a first predetermined condition among the plurality of the physical node displayed on the electronic map as a logical node; and automatically constructing, according to the second predetermined rule, a topological relationship between a plurality of the logical node based on type information and state information of the plurality of the logical node.

6. The modeling analysis method according to any one of claims 1 to 5, wherein construction of the physical layer model and construction of the logical layer model are executed synchronously.

7. The modeling analysis method according to any one of claims 1 to 6, further comprising:
automatically displaying a direction of a signal or a fluid in the device management network on the electronic map based on a topological relationship between logical nodes in the logical layer model.

8. The modeling analysis method according to claim 7, wherein the automatically displaying a direction of a signal or a fluid in the device management network on the electronic map comprises:
on the electronic map, displaying the direction of the signal or the fluid in the device management network through an arrow.

9. The modeling analysis method according to claim 7 or 8, wherein the device management network is a power grid management network, and the direction of the signal or the fluid in the device management network is a direction of power supply in the power grid management network.

10. The modeling analysis method according to any one of claims 1 to 9, further comprising:

displaying a simulation analysis result in response to an analysis function in a scene interface being triggered.

11. The modeling analysis method according to claim 10, wherein the displaying a simulation analysis result in response to an analysis function in a scene interface being triggered comprises:
displaying the simulation analysis result by changing a color of the line in response to the analysis function in the scene interface being triggered.

12. The modeling analysis method according to claim 10 or 11, wherein the displaying a simulation analysis result in response to an analysis function in a scene interface being triggered is automatically executed online in real-time through the user terminal.

13. The modeling analysis method according to any one of claims 1 to 12, wherein the collecting, through the user terminal, position information, type information and status information of the physical node is executed online in real-time through mobile internet.

14. A modeling analysis method according to any one of claims 1 to 13, wherein the device management network is a power grid management network, and the method comprises:
collecting, through the user terminal, position information, type information and status information of a power grid device, wherein the collecting comprises one of the user inputting, the positioning function of the user terminal, and acquiring the position information, the type information and the status information of the power grid device through the photographing and automatic recognition functions of the user terminal;
automatically constructing, according to the first predetermined rule, a physical layer model based on position information and type information of a plurality of the power grid device to automatically connect the plurality of the power grid device into a line, and automatically displaying the plurality of the power grid device and the line between the plurality of the power grid device at a corresponding position on the electronic map as background;
automatically constructing, according to the second predetermined rule, a logical layer model based on type information and status information of the plurality of the power grid device to construct the network model; and displaying a power outage analysis result in response to a power outage analysis function in a scene interface being triggered.

15. A modeling analysis method for a device management network, applying to a simulation analysis server and comprising:
acquiring position information, type information, and status information of a physical node;
automatically constructing, according to a first predetermined rule, a physical layer model based on position information and type information of a plurality of the physical node to automatically connect the plurality of the physical node into a line, wherein the physical layer model is used for automatically displaying the plurality of the physical node and the line between the plurality of the physical node at a corresponding position on an electronic map as background;
automatically constructing, according to a second predetermined rule, a logical layer model based on the type information and the status information of the plurality of the physical node to construct a network model; and generating a simulation analysis result in response to receiving request data.

16. The modeling analysis method according to claim 15, further comprising:
receiving the position information, the type information, and the status information of the plurality of the physical node from a user terminal for constructing the network model on a simulation analysis server; and sending the simulation analysis result to the user terminal.

17. The modeling analysis method according to claim 16, wherein the receiving the position information, the type information, and the status information of the plurality of the physical node from a user terminal comprises:
receiving the position information, the type information, and the status information of the plurality of the physical node from the user terminal through mobile internet;
and the sending the simulation analysis result to the user terminal comprises:
sending the simulation analysis result to the user terminal through the mobile internet.

18. An analysis method for operating range based on a modeling analysis method according to any one of claims 15 to 17, comprising:
analyzing an operating line corresponding to a physical node in a network model based on the network model composed of the physical node and the line; and automatically connecting each end node of the operating line, and forming, according to a third predetermined rule, a closed region corresponding to the physical node on an electronic map, wherein the closed region is the operating range corresponding to the physical node.

19. The analysis method according to claim 18, further comprising:
sending information, at least comprising an image and text, to a user within the operating range corresponding to the physical node.

20. The analysis method according to claim 19, wherein the sending information to a user within the operating range corresponding to the physical node comprises:
sending the information to the user within the operating range corresponding to the physical node in response to physical node failure, wherein the information comprises a failure line name, a failure range, and an estimated fault processing time.

21. An update method for a network model, comprising:
dividing an electronic map into a plurality of regions;
during a network update process, generating a corresponding network model for each of a plurality of user terminals respectively to form a plurality of network models when receiving node information for different content of the same region from the plurality of user terminals;
selecting, according to a second predetermined condition, a network model from the plurality of network models and saving the network model as a layer, and use the layer as a submission layer corresponding to the current time; and selecting, according to a third predetermined condition, a submission layer from a plurality of submission layers as a time layer for updating the network model when a number of saved submission layers reaches a threshold or after a scheduled time from the first layer being submitted.

22. The update method for a network model according to claim 21, wherein the second predetermined condition and the third predetermined condition comprise at least one of the following:
the number of the physical nodes included in the network model is the largest;
the area of the map region included in the network model is the largest;
the map line included in the network model is the longest;
the types of the physical nodes included in the network model is the most.

23. The update method for a network model according to claim 21 or 22, wherein the network model comprises a road network model.

24. The update method for a network model according to any one of claims 21 to 23, further comprising: receiving labeling information of the network model by a user from a user terminal for updating the network model.

25. A user terminal, comprising a processor and a memory, wherein the memory stores instructions, and when the processor executes the instructions, the user terminal executes the method according to any one of claims 1 to 14.

26. A network server, comprising a processor and a memory, wherein the memory stores instructions, and when the processor executes the instructions, the network server executes the method according to any one of claims 15 to 24.