WO2022166562A1 - 用于设备管理网络的建模分析方法和网络模型更新方法 - Google Patents

用于设备管理网络的建模分析方法和网络模型更新方法 Download PDF

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WO2022166562A1
WO2022166562A1 PCT/CN2022/071952 CN2022071952W WO2022166562A1 WO 2022166562 A1 WO2022166562 A1 WO 2022166562A1 CN 2022071952 W CN2022071952 W CN 2022071952W WO 2022166562 A1 WO2022166562 A1 WO 2022166562A1
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information
physical
network
automatically
user terminal
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PCT/CN2022/071952
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English (en)
French (fr)
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陈龙雨
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陈龙雨
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Priority to CA3207585A priority Critical patent/CA3207585A1/en
Publication of WO2022166562A1 publication Critical patent/WO2022166562A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases

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  • Embodiments of the present disclosure relate to a modeling analysis method, a work scope analysis method, a network model updating method, a user terminal, and a network server for a device management network.
  • At least one embodiment of the present disclosure provides a modeling and analysis method for a device management network, which is applied to a user terminal.
  • the method includes: collecting location information, type information, and state information of a physical node through the user terminal, wherein, The collection is through user input, the positioning function of the user terminal, or through the user terminal to take pictures and automatically identify the location information, type information and status information of the physical node; based on the location information and type information of the physical node , automatically constructing a physical layer model according to the first predetermined rule, so as to automatically connect the physical nodes into lines, and automatically display the physical nodes and the lines between the physical nodes at the corresponding positions with the electronic map as the background;
  • the type information and state information of the physical node automatically construct a logical layer model according to a second predetermined rule, so as to construct a network model.
  • the physical layer model is automatically constructed according to a first predetermined rule based on the location information and type information of the physical node, including: when the user terminal is used to change the When the location information and/or type information of the physical node is used, based on the changed information, with the electronic map as the background, automatically disconnect the original lines that do not meet the first predetermined rule, and follow the
  • the first predetermined rule is to automatically form a line between the changed physical node and its adjacent physical nodes.
  • automatically constructing a physical layer model according to a first predetermined rule based on the location information and type information of the physical node includes: while the user terminal keeps moving, In response to the collected location information and type information of the physical node, the physical node and the automatically generated line between the physical node and adjacent physical nodes are displayed in real time.
  • the modeling analysis method provided by at least one embodiment of the present disclosure further includes: collecting location information of an additional node, and acquiring type information and state information of the additional node; based on the location information, type information, and state information of the additional node , constructing an additional layer model for extending the network model; taking the electronic map as the background, automatically displaying the type information and state information of the additional node at the corresponding position.
  • automatically constructing the logic layer model includes: based on the Type information and status information of physical nodes, determine the physical nodes that satisfy the first predetermined condition among the physical nodes displayed on the electronic map, as logical nodes; identify the type and status of the logical nodes, according to the second predetermined rules to automatically establish topological relationships between logical nodes.
  • the construction of the physical layer model and the construction of the logical layer model are performed synchronously.
  • the modeling analysis method provided by at least one embodiment of the present disclosure further includes: automatically displaying the signals or fluids in the device management network on the electronic map according to the topological relationship between the logical nodes in the logic layer model direction.
  • displaying the trend of signals or fluids in the device management network on the electronic map includes: on the electronic map, using lines with arrows to Displays the direction of signals or fluids in the device management network.
  • the device management network is a power grid management network
  • the direction of signals or fluids in the device management network is the power supply direction in the power grid management network
  • the modeling analysis method provided by at least one embodiment of the present disclosure further includes: in response to the analysis function in the scene interface being triggered, displaying the simulation analysis result.
  • displaying the simulation analysis result in response to the analysis function in the scene interface being triggered includes: in response to the analysis function in the scene interface being triggered, through the control circuit The color changes to show the simulation analysis results.
  • the displaying of the simulation analysis result in response to the analysis function in the scene interface being triggered is automatically performed by the user terminal online in real time.
  • the collection of location information, type information, and status information of physical nodes by the user terminal is performed online in real time through the mobile Internet.
  • At least one embodiment of the present disclosure further provides a method for modeling and analysis according to the above, wherein the equipment management network is a power grid management network, and the method includes: collecting location information, type information and status information of power grid equipment through a user terminal, wherein, The collection includes the location information, type information and status information of the power grid equipment through the user input, the positioning function of the user terminal, or by taking pictures of the user terminal and automatically identifying the power grid equipment; based on the position information of the power grid equipment and Type information, according to the first predetermined rule, automatically build a physical layer model to automatically connect the power grid equipment into lines, and automatically display the power grid equipment and the relationship between the power grid equipment at the corresponding position with the electronic map as the background. based on the type information and status information of the power grid equipment, according to the second predetermined rule, automatically build a logic layer model to build a network model; in response to the power failure analysis function in the scene interface being triggered, the power failure analysis result is displayed.
  • the equipment management network is a power grid management network
  • At least one embodiment of the present disclosure further provides a modeling analysis method for a device management network, applied to a simulation analysis server, the method includes: receiving location information, type information and status information of a physical node; The location information and type information are automatically constructed according to the first predetermined rule to automatically connect the physical nodes into lines, and the physical layer model is used to automatically display the physical nodes and the lines between the physical nodes; based on the type information and state information of the physical nodes, automatically constructing a logic layer model according to a second predetermined rule, so as to construct a network model; in response to receiving the request data, generating a simulation analysis result.
  • the modeling analysis method provided by at least one embodiment of the present disclosure further includes: receiving the location information, type information and state information of the physical node from a user terminal, so as to be used to construct the network on the simulation analysis server side model; sending the simulation analysis result to the user terminal.
  • receiving the location information, type information and status information of the physical node from the user terminal includes: receiving the location of the physical node from the user terminal through the mobile Internet information, type information and status information; and sending the simulation analysis result to the user terminal includes: sending the simulation analysis result to the user terminal through the mobile Internet.
  • At least one embodiment of the present disclosure further provides a working range analysis method according to the above modeling analysis method, including: based on a network model composed of the physical node and the line, analyzing the relationship between the network model and the physical node The corresponding working line; automatically connect each end node of the working line, and form a closed area corresponding to the physical node on the electronic map according to the third predetermined rule, and the closed area is the work corresponding to the physical node. scope.
  • the method for analyzing the scope of work provided by at least one embodiment of the present disclosure further includes: sending information to users within the scope of work corresponding to the physical node, where the information at least includes pictures and text.
  • sending information to users within the working range corresponding to the physical node includes, in response to a failure of the physical node, sending information to a user corresponding to the physical node.
  • Users within the scope of work send information, wherein the information includes the name of the faulty line, the scope of the fault and the estimated fault handling time.
  • At least one embodiment of the present disclosure further provides a method for updating a network model, including: dividing an electronic map into multiple areas; during the network updating process, when node information for different contents in the same area is received from multiple user terminals, respectively generating a corresponding network model for each of the multiple user terminals to form multiple network models; selecting a network model from the multiple network models based on the second predetermined condition, and saving it in a layered manner, As the submission layer corresponding to the current moment; when the number of saved submission layers reaches the threshold, or after a predetermined time from the first submission layer, based on the third predetermined condition, select a submission layer from multiple submission layers, As a temporal layer for updating the network model.
  • the second predetermined condition and the third predetermined condition include at least one of the following: the network model includes the largest number of physical nodes; The map area included in the network model is the largest; the map line included in the network model is the longest; and the network model includes the most types of physical nodes.
  • the network model includes a road network model.
  • At least one embodiment of the present disclosure further provides a user terminal, including a memory and a processor, wherein the memory stores instructions, and when the processor executes the instructions, the user terminal is caused to execute the above method.
  • At least one embodiment of the present disclosure further provides a network server, including a memory and a processor, wherein the memory stores instructions, and when the processor executes the instructions, the network server is caused to execute the above method.
  • FIG. 1 is a schematic diagram of a system simulation provided by at least one embodiment of the present disclosure
  • FIG. 2 is an architectural diagram of a device management system provided by at least one embodiment of the present disclosure
  • FIG. 3 provides a flowchart of a method for modeling and analyzing a device management network according to at least one embodiment of the present disclosure
  • FIG. 4 is a schematic diagram of a power grid physical layer model provided by at least one embodiment of the present disclosure
  • step S103 is a flowchart corresponding to step S103 in a modeling analysis method provided by at least one embodiment of the present disclosure
  • FIG. 6 shows a schematic diagram of a power grid logic layer model provided by at least one embodiment of the present disclosure
  • 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.
  • FIG. 8A shows a schematic diagram of a hierarchical structure of a system provided by at least one embodiment of the present disclosure
  • FIG. 8B shows a schematic diagram of a simulation system model provided by at least one embodiment of the present disclosure
  • FIG. 8C shows a diagram of a power grid system provided by at least one embodiment of the present disclosure
  • 9A is a schematic diagram of a dual power supply provided by at least one embodiment of the present disclosure.
  • 9B is a schematic diagram of a dual power supply conversion provided by at least one embodiment of the present disclosure.
  • FIG. 10 is a schematic diagram of grid fault location provided by at least one embodiment of the present disclosure.
  • FIG. 11 is a power supply range analysis diagram provided by at least one embodiment of the present disclosure.
  • Figure 1 shows a schematic diagram of a system simulation. It can be seen that: First, the one-way mapping from the physical world to the information world results in the model itself being only a reflection of the existing equipment types, which brings great limitations to the analysis of the model.
  • the virtual information model is only a one-way mapping of the physical world, and the real network of the physical world cannot be improved through the changes of the virtual model, and the interaction between the two cannot be improved. cause greater difficulties.
  • At least one embodiment of the present disclosure provides a modeling and analysis method for a device management network, which is applied to a user terminal, including: collecting location information, type information, and state information of a physical node, the collection is through user input, user terminal The location information of the physical node, or the location information, type information and status information of the physical node are automatically identified by taking pictures through the user terminal; based on the location information and type information of the physical node, the physical layer model is automatically constructed according to the first predetermined rule to automatically Based on the electronic map as the background, the physical nodes and the lines between the physical nodes are automatically displayed at the corresponding positions; based on the type information and status information of the physical nodes, the logic layer model is automatically constructed according to the second predetermined rule, so as to construct the network model. .
  • At least one embodiment of the present disclosure also provides a work scope analysis method, a network model update method, a user terminal, and a network server according to the above modeling analysis method.
  • At least one embodiment of the present disclosure provides a modeling and analysis method for a device management network. Based on device information obtained by a user terminal, a network model is automatically constructed according to predetermined connection rules for rapid analysis, so that users can Automatically view network diagrams and network analysis results for rapid analysis based on network models to enhance real networks in the physical world.
  • FIG. 2 is an architectural diagram of a device management system provided by at least one embodiment of the present disclosure.
  • the user terminal 201 is signally connected to the simulation analysis server 202
  • the simulation analysis server 202 is signally connected to the management terminal 203 .
  • the user terminal 201 associates and communicates with the management terminal 203 through the simulation analysis server 202 .
  • communication between the user terminal 201, the simulation analysis server 202 and the management terminal 203 may be performed through a wired or wireless network.
  • the wired network is, for example, a wired local area network, a wide area network, and a wired telephone communication network.
  • the wireless network is, for example, a wireless local area network, mobile Internet (eg, 2G/3G/4G/5G), WiFi, and the like. It should be noted that the embodiments of the present disclosure do not limit the specific communication manner between them.
  • the user terminal 201 may be a mobile phone terminal, a tablet computer, or other mobile device with a wireless positioning function.
  • the user terminal 201 may use positioning methods such as mobile base station positioning, WiFi positioning, and GPS positioning to collect location information, which is not limited in this embodiment of the present disclosure.
  • the management terminal 203 may be a computer or an all-in-one computer, which is not limited in the embodiment of the present disclosure.
  • the simulation analysis server 202 may be a device management network, such as may be deployed on some computers, all-in-one computers, or user terminals.
  • the simulation analysis server 202 may be a cloud server or a local server, which is not limited in this embodiment of the present disclosure.
  • the simulation analysis server 202 may interface with one or more user terminals 201, and the data collected on the user terminals 201 may be sent to the simulation analysis server 202 for storage or processing.
  • the equipment management network may include, for example, a power grid management system, a water pipe network management system, a gas pipe network system and other public facility management systems, and of course, may also include a cable television network , communication network and other similar device management networks, which are not specifically limited in the embodiments of the present disclosure.
  • a device management network in the physical world corresponds to a simulated network in the information world, that is, a network model, and various devices in the device management network correspond to various nodes in the network model .
  • the nodes in the power grid model can represent switches, transformers, poles, telecommunication base station equipment, etc. in the power grid
  • the water pipe network management system is
  • the nodes in the water pipe network model can represent valves, water pump stations and water treatment plants in the water pipe network.
  • the nodes in the gas pipe network model can be Indicates a gate station, a gas valve, a compensator, a gas storage device, etc., which are not specifically limited in the embodiments of the present disclosure, and can be set according to actual conditions.
  • FIG. 3 provides a flowchart of a modeling and analysis method for a device management network in at least one embodiment of the present disclosure.
  • at least one embodiment of the present disclosure provides a modeling and analysis method 10 for a device management network, which is applied to a user terminal.
  • the method includes the following steps S101-S103, as shown in FIG. 3 .
  • steps S101 to S103 may be performed sequentially, or may be performed in other adjusted orders, and some or all of the operations in steps S101 to S103 may also be performed in parallel, for example, Step S102 and step S103 may be performed synchronously, and the embodiment of the present disclosure does not limit the execution order of each step, which may be adjusted according to actual conditions.
  • steps S101-S103 may be performed in a separate user terminal, for example, the user terminal may automatically connect to the Internet through a mobile Internet, and the above-mentioned steps S101-S103 are performed online in real time by the user terminal.
  • some operations may also be implemented on a simulation analysis server (eg, on a cloud server), which is not limited by the embodiments of the present disclosure.
  • a simulation analysis server eg, on a cloud server
  • implementing the modeling and analysis method 10 for a device management network provided by at least one embodiment of the present disclosure may selectively perform some steps in steps S101-S103, and may also perform steps other than steps S101-S103. Some additional steps, which are not specifically limited by the embodiments of the present disclosure.
  • Step S101 Collect the location information, type information and status information of the physical node through the user terminal, the collection is through user input, the positioning function of the user terminal, or through the user terminal to take pictures and automatically identify the location information, type information and status information of the physical node. .
  • each type of equipment in real life is regarded as a kind of physical node.
  • physical node is to display the reflection of various physical devices in life in the simulated network model, and participate in the display of network graphics through basic physical connection rules.
  • an operator carries a mobile device (such as a mobile phone) with a wireless positioning function, and collects information on physical nodes along a predetermined route (such as a street in a certain area).
  • the information of the physical node includes location information, type information, status information, image information, and the like, which is not limited by the embodiment of the present disclosure.
  • the operator may include various types of physical nodes, such as substations, ring main units, public transformers, switches, and poles.
  • the operator obtains the positioning information of the user terminal by locating the user terminal (eg, mobile phone) at a certain device (eg, a ring main unit) on the side of the street as the location information of the physical node.
  • the operator can select or input the location and type of the device on the user terminal, for example, select the device type such as "transformer" on the user terminal, for example, input the longitude and the location of the device on the user terminal. Latitude and other location information.
  • the operator can also select or input the state of the device on the user terminal, for example, select "connected” or “disconnected”.
  • the operator can also select or input the serial number and name of the device on the user terminal, such as "No. 1 switch”.
  • the operator can also take photos of the device and its surrounding environment through the user terminal, so that the device type and the location of the device can be automatically identified based on the captured device image. In this way, the user terminal can collect the location information, status information, type information, picture information, etc. of the physical node, which is not specifically limited in the embodiment of the present disclosure.
  • Step S102 Based on the location information and type information of the physical nodes, according to the first predetermined rule, a physical layer model is automatically constructed to automatically connect the physical nodes into lines, and the physical nodes and the physical nodes are automatically displayed at the corresponding positions with the electronic map as the background line between.
  • the first predetermined rule may include that a pole node automatically connects to another pole node closest to it, for example, the first predetermined rule may also include that a switch node automatically connects to the closest transformer node. It should be noted that, in the embodiment of the present disclosure, the first predetermined rule may be set based on experience, actual requirements, etc., which is not specifically limited in the embodiment of the present disclosure.
  • a graph with the electronic map as the background can be formed to visually display the types and distribution of various physical devices. It is the basis for the rapid display of network diagrams.
  • the establishment of the physical layer model may automatically connect the received point devices into lines according to a first predetermined rule. For example, in an example, when establishing a network, a straight line is determined by two points, only nodes at both ends are collected, and then a connection line between the two points is automatically drawn according to a predetermined connection rule.
  • the first point is a definite node
  • a predetermined connection rule for example, the first predetermined rule
  • which node it should be connected to which is The basis for quickly establishing network models is also the basis for quickly displaying network diagrams.
  • the electronic map as the background, the physical nodes and the lines between the physical nodes are automatically displayed at the corresponding positions.
  • the electronic map may be stored locally or downloaded from a network, which is not limited in this embodiment of the present disclosure.
  • FIG. 4 shows a schematic diagram of a physical layer model of a power grid provided by at least one embodiment of the present disclosure.
  • each type of grid equipment in real life is used as a corresponding physical node.
  • the physical layer model includes four types of equipment, such as poles, substations, switches, and transformers.
  • the embodiments of the present disclosure do not limit the types of power grid equipment.
  • the substation acts as a power source to supply power to the grid
  • the poles act as support
  • the wires between the poles form the physical wiring of the grid
  • the switch acts as a segmented control in the circuit
  • the transformer is the final Electrical equipment, switches and transformers are installed on poles.
  • the first predetermined rule may also be defined as follows, that is: the composition of the line starts from the power supply (substation), and the serial number of the second device is the serial number of the first device plus 1 .
  • the composition of the line starts from the power supply (substation)
  • the serial number of the second device is the serial number of the first device plus 1 .
  • the next equipment added is a pole, it will be automatically named No. 2 pole, No. 3 pole, etc., and so on.
  • the next device added after the No. 1 pole is a switch, it can be named manually (for example, by selection or input) as the No. 1 switch.
  • the next switch is found in the equipment that continues to increase, it will be automatically named as the No. 2 switch. And so on.
  • the pole as the basic physical unit automatically completes the connection with the pole with the previous serial number. For example, as a switch mounted on a pole, the increment of the serial number is also done automatically. In this way, the display of the power grid diagram with the electronic map as the background can be quickly completed, as shown in FIG. 4 .
  • the increasing direction of the numbering of each type of physical node may indicate the direction of the signal or fluid in the device management network.
  • the device management network is a power grid management network, and the direction of signals or fluids in the device management network may be the power supply direction in the power grid management network.
  • the equipment management network is a water pipe network management network, and the direction of the signal or fluid in the equipment management network may be the water supply direction.
  • the equipment management network is a gas pipe network management network, and the direction of the signal or fluid in the equipment management network may be the gas supply direction. It should be noted that the embodiments of the present disclosure do not specifically limit this.
  • the increasing direction of the number of the electric pole can indicate the power supply direction of the power grid.
  • the direction of power supply can be defined to flow from the small number to the large number of the pole number. In this way, by identifying the number on the pole, the direction of current flow, that is, the direction of power supply, can be displayed.
  • the power supply direction can be from pole 1 to pole 2 to pole 3, etc., and so on.
  • the power supply direction may be from switch 1 to switch 2 to switch 3, etc., and so on.
  • the power supply direction may also be from the No. 6 pole to the No. 5 pole to the No. 4 pole, etc.
  • the examples of the present disclosure do not specifically limit this, and can be set according to actual conditions.
  • the physical layer model based on device node (ie, physical node) information collected by a user terminal (eg, a mobile phone), and based on a predetermined connection rule (eg, a first predetermined rule) ) and automatically connect the collected physical nodes into lines to quickly build a network diagram without the need for a human to work on the diagram.
  • device node ie, physical node
  • a predetermined connection rule eg, a first predetermined rule
  • Step S103 Based on the type information and state information of the physical node, automatically construct a logical layer model according to a second predetermined rule, so as to construct a network model.
  • the received point devices can be automatically connected into a logical network according to a second predetermined rule to Determine the topology relationship between adjacent devices in the network, that is, the topology of the logic layer model, which is the basis of network diagram analysis.
  • the second predetermined rule may include: a substation node automatically connects to its nearest switch node, a switch node automatically connects to its nearest transformer node, and the like. It should be noted that, the second predetermined rule may be set based on experience, actual requirements, etc., and the embodiment of the present disclosure does not limit the specific content of the second predetermined rule.
  • the logical layer and the physical layer may be one layer.
  • all physical nodes are logical nodes, and the retrieval effort when performing network lookup analysis is too large.
  • FIG. 5 is a flowchart corresponding to step S103 in a modeling analysis method provided by at least one embodiment of the present disclosure.
  • step S103 may include the following steps:
  • Step S131 Based on the type information and state information of the physical node, determine a physical node that satisfies the first predetermined condition among the physical nodes as a logical node;
  • Step S132 Based on the type information and state information of the logical node, and according to the second predetermined rule, automatically construct a logical layer model.
  • the first predetermined condition may be the logical judgment of participating in the network model, that is, participating in the state analysis of the network model.
  • the logic layer mentioned later mainly refers to the logic layer composed of such simplified logic nodes. It should be noted that, the embodiments of the present disclosure do not limit the specific content of the first predetermined condition, which may be set according to actual needs.
  • the equipment participating in the logic judgment (state judgment) in the power grid system and the electrical equipment at the line terminal are used as logical nodes.
  • FIG. 6 shows a schematic diagram of a power grid logic layer model provided by at least one embodiment of the present disclosure.
  • the logical nodes include three types of equipment: substations, switches, and transformers.
  • the substation supplies power to the switch, and the switch supplies power to the transformer.
  • the poles that only bear the support role do not participate in the network analysis of the system, so they do not belong to the equipment corresponding to the logical nodes.
  • the second predetermined rule may be defined as follows: the substation is used as the original power point, the power for the switch comes from the substation or the upper-level switch, and the power for the transformer comes from the switch.
  • this second predetermined rule first define the position of the substation as the power point on the electronic map of the physical layer, and automatically search for the nearest substation or switch with the appearance of the switch, and judge its superior power supply based on the number of the pole where it is located. and make logical connections. For example, with the advent of transformers, the nearest switch is automatically searched and the appropriate power point is analyzed for logical connection. In this way, the establishment of the grid logic layer can be quickly completed, as shown in Figure 6.
  • step S102 and step S103 may be performed synchronously, that is, the physical layer model and the logical layer model may be constructed at the same time, so as to quickly construct a network model and quickly display a network diagram with analysis functions.
  • the modeling and analysis method 10 for a device management network can use a mobile user terminal to collect data, and perform one-time automatic processing of the physical display and logical relationship of the device according to a predetermined connection rule , the subsequent rule changes will automatically change the connection of the logical relationship, so that users can view the network diagram and network analysis results in real time, quickly and automatically, so as to improve the real network in the physical world based on the rapid analysis of the network model.
  • the retrieval workload is greatly reduced and the retrieval efficiency of the network is improved.
  • the physical layer model is automatically constructed according to the first predetermined rule based on the location information and type information of the physical node, which may include when the location information of the physical node is changed (or updated) by the user terminal and/or When the type information is used, based on the changed (or updated) information, with the electronic map as the background, the lines in the original lines that do not meet the first predetermined rule are automatically disconnected, and according to the first predetermined rule, the changed physical nodes and The adjacent physical nodes are automatically connected into lines.
  • the existing power grid model includes node 1, node 2, and node 3, and the line of node 1 is connected to node 2, and the line of node 2 is connected to node 3.
  • the aforementioned nodes No. 1, No. 2, and No. 3 are all poles
  • the position information of the node No. 2 is changed. automatically disconnects the connection between the No. 2 pole node before the move and the No. 1 and No. 3 nodes, and based on the changed node information, according to the first predetermined rule, automatically connects the No.
  • the aforementioned nodes No. 1, No. 2, and No. 3 are all poles
  • the connection between the No. 2 and No. 3 nodes is automatically disconnected, and based on the changed node information, according to the first predetermined rule, the No. 2, No. 3 and No. 4 pole nodes are automatically connected. If the original line between No. 2 and No. 3 nodes overlaps with the updated lines between No. 2, No. 3 and No. 4 pole nodes, due to the rapid update of the model, the user may see on the mobile phone Node 4 is added to the line between No. 3 and No. 3.
  • nodes No. 1, No. 2, and No. 3 are all poles
  • the connection between the node No. 2 and No. 3 is automatically disconnected.
  • the connection between the No. 1 and No. 3 pole nodes if based on the changed node information, according to the first predetermined rule, the No. 1 pole node is automatically connected to the No. 3 pole node, due to the rapid update of the model. , the user may see on the mobile phone interface that the No. 2 node disappears on the electronic map, and the No. 1 node and the No. 3 node are automatically connected to form a line.
  • node No. 1 is a substation
  • node No. 2 is a switch
  • node No. 3 is a transformer
  • the user deletes the switch node No. 2 through the mobile phone terminal, if according to the first predetermined rule, 1 If the node No. 3 cannot be directly connected to the node No. 3, the user may see that the node No. 2 disappears on the electronic map on the mobile phone interface, and the connection between the node No. 2 and the nodes No. 1 and No. 3 is also automatically disconnected.
  • the physical layer model will automatically change, that is, Automatically connect based on the changed physical node information, so that a lot of human resources will not be wasted to manually modify the line, and there will be no failure to connect.
  • automatically constructing the physical layer model according to the first predetermined rule based on the location information and type information of the physical node may further include: while the user terminal keeps moving, in response to the collected The location information and type information of the physical nodes are displayed in real time, and the lines automatically generated between the physical nodes and the adjacent physical nodes are displayed in real time.
  • the user terminal when a user holds a user terminal (such as a mobile phone) while walking along a route and collects surrounding node information, in response to the collected node information, the user terminal will automatically display it on the electronic map in real time The collected physical node, and the line between the physical node and adjacent physical nodes. In this way, the user can view the network diagram on the user terminal in real time, quickly and automatically.
  • a user terminal such as a mobile phone
  • At least one embodiment of the present disclosure further provides a modeling and analysis method 20 for a device management network.
  • the modeling and analysis method 20 further includes the following steps:
  • Step S201 collect the location information of the additional node, and obtain the type information and status information of the additional node;
  • Step S202 Based on the location information, type information and state information of the additional nodes, construct an additional layer model for extending the network model;
  • Step S203 With the electronic map as the background, the type information and status information of the additional nodes are automatically displayed at the corresponding positions.
  • an additional node corresponds to an additional device that appears with the expansion of system functions and has a significant impact on system analysis.
  • the additional device may be a basic component of a certain accessory state. With the increase of system functions, there can be many kinds of such auxiliary states, and each state can have many constituent units. Additional devices are born one after another after the network model is built, and can be displayed as new physical units, but it does not affect The physical connection of the original network can also be used as a new logical unit to participate in the analysis, but it does not affect the logical connection of the original network. Additional nodes appear in the role of physical or logical network additional states, bringing more impact to network analysis.
  • additional nodes in the additional layer model include the physical state or logical connection state of the additional device, or both.
  • the additional device can be a device with a physical state that is directly added to the device type of the physical layer model to display graphics. Since it is added to the graphics later, it does not destroy the connection mode of the original device and does not affect the original physical network. display.
  • Additional devices can also be devices that have a logically connected state. The connection relationship between devices can have connection rules or no connection rules, and can participate in network analysis and enrich the content of system analysis.
  • the additional layer model is the basis for the continuous expansion of the network model and the basis for the advanced analysis of the network.
  • 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.
  • the additional equipment in the power grid system may be a power grid monitoring device attached to a pole or wire, or a power grid monitoring device with a receiving
  • the functional poles send lights or images, such as image monitoring devices, light monitoring devices, etc., which are not limited in the embodiments of the present disclosure.
  • the additional equipment may not be the basic unit of the physical layer in the grid model, the composition of the grid does not depend on its existence, or it may not be the basic component of the logic layer in the grid model, and the basic analysis of the network may not need its support.
  • the additional equipment can monitor the magnitude of the current according to the equipment directly installed on the wires or poles, and can also indirectly judge whether there is a power outage through the surrounding light sources, and can also analyze the images of the surrounding fires to provide power outage faults. Warning, etc.
  • additional devices can be physical devices, such as grid monitoring devices, that can be displayed in the composition of the physical network and can also participate in network analysis at the logical level.
  • the additional device can also be non-physical device information such as lights and images, and can only participate in network analysis at the logical layer. Since the additional equipment is born after the basic physical layer model and logical layer model are completed, it does not affect the connection of the original physical layer and logical layer, but plays a huge role in the advanced analysis of the power grid.
  • the power grid monitoring equipment is installed on the utility pole or 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, so it has both a physical state or logical connection state. But its installation position can be displayed in the power grid diagram, and can be used as part of the line or equipment properties, so that the line or equipment can participate in the logic analysis, as shown in Figure 7.
  • FIG. 8A shows a schematic diagram of a hierarchical structure of a system provided by at least one embodiment of the present disclosure
  • FIG. 8B shows a schematic diagram of a simulation system model provided by at least one embodiment of the present disclosure
  • FIG. 8C shows at least one embodiment of the present disclosure.
  • a power grid system diagram provided by the embodiment.
  • the superposition of the above three-layer models of physical layer, logical layer, and additional layer can constitute a complete structure of the network model.
  • the superposition of the above three-layer models of physical layer, logical layer, and additional layer can constitute a complete structure of the network model.
  • different types of devices are processed differently to quickly complete the construction of a simulated network model, for example, as shown in Figure 8B simulation network model.
  • the establishment of the power grid physical layer and logical layer models can be automatically synchronized according to predetermined physical and logical connection rules,
  • the subsidiary layer is added according to various monitoring equipment added subsequently.
  • the physical layer model enables the grid diagram to be displayed normally
  • the logic layer model enables the grid diagram to have analysis functions
  • the additional layer model enables the grid diagram to be analyzed and judged automatically and quickly.
  • Network model and can quickly and automatically give fault analysis results, such as power failure analysis results.
  • taking power grid modeling as an example, as shown in FIG. 8C starting from the power source as a substation, collecting poles and equipment in a numbered order, and synchronously completing the physical Layer and logic layer network establishment.
  • the devices are then displayed on the grid map at the physical layer based on the location of the monitoring devices on the poles and wires.
  • the monitoring equipment is added to the additional layer as the attributes of the wires and poles where it is located, and the wires and poles that do not have the function of logic analysis are added to the logic analysis through the display of power grid status information (power or power failure).
  • the establishment of a network model that displays the current status of the power grid in real time is completed.
  • the above modeling and analysis method may further include automatically displaying the trend of signals or fluids in the device management network on the electronic map according to the topological relationship between the logical nodes in the logic layer model.
  • displaying the direction of the signal or fluid in the device management network on the electronic map includes: displaying the direction of the signal or fluid in the device management network using a line with arrows on the electronic map.
  • displaying the direction of the signal or fluid in the device management network using a line with arrows on the electronic map includes: displaying the direction of the signal or fluid in the device management network using a line with arrows on the electronic map.
  • other manners for example, simulation analysis results, etc. may also be used to display the trend of the signal or the fluid, which is not limited by the embodiment of the present disclosure.
  • the device management network may be a power grid management network, and the direction of signals or fluids in the device management network is the power supply direction in the power grid management network. No restrictions apply.
  • the above-mentioned modeling and analysis method may further include: in response to the analysis function button in the scene interface being triggered, displaying a corresponding simulation analysis result.
  • a network analysis function is provided based on the network model established in steps S102 and S103.
  • 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 the corresponding simulation analysis result.
  • the user terminal taking power grid modeling as an example, when the user triggers the power outage analysis button on the user terminal, the user terminal will automatically display the corresponding power outage analysis result.
  • the simulation analysis result is displayed by changing the color of the control line.
  • a switch in a certain power grid line is disconnected to cause a power outage.
  • the user is informed that the line is out of power by changing the color of the line controlled by the switch.
  • the user may also be informed of the power failure of the line in other manners, such as sending a message to a user in a specific area, etc., which is not specifically limited in the embodiment of the present disclosure.
  • the above operation in response to the analysis function in the scene interface being triggered, displaying the simulation analysis result may be automatically performed online in real time by the user terminal, for example, through the mobile Internet, etc.
  • the user terminal for example, through the mobile Internet, etc.
  • the implementation of the present disclosure The example does not limit this.
  • the above operations, the user terminal collecting the location information, type information and status information of the physical node can be performed online in real time through the mobile Internet, and the user terminal can also be automatically connected to the Internet in other ways.
  • the embodiments of the present invention do not limit this.
  • the acquired node information for example, 5G, 4G, etc.
  • the location information, type information and status information of physical nodes or/and additional nodes are sent to the simulation analysis server for building a network model on the simulation analysis server side, and then the information from the simulation analysis server can also be received through the mobile Internet. Simulation analysis results for display.
  • the embodiment of the present disclosure does not limit the specific communication manner between the user terminal and the simulation analysis server. The specific operations on the server side of the simulation analysis are described in detail below.
  • a user terminal eg, a mobile phone
  • the above-mentioned modeling and analysis methods 10 and 20 may be automatically executed online by the user terminal in real time.
  • a user terminal eg, a mobile phone
  • the above-mentioned modeling and analysis methods 10 and 20 may be automatically executed online by the user terminal in real time.
  • the modeling analysis method provided by at least one embodiment of the present disclosure quickly completes the establishment of a network model by combining predetermined rules (eg, first predetermined rules, second predetermined rules, etc.) , which can reserve space for the infinite expansion of the network without affecting the original network structure.
  • predetermined rules eg, first predetermined rules, second predetermined rules, etc.
  • the above-mentioned modeling analysis methods 10 and 20 provided by at least one embodiment of the present disclosure include but are not limited to the following advantages:
  • FIG. 9A is a schematic diagram of a dual power supply power supply provided by at least one embodiment of the present disclosure
  • FIG. 9B is a schematic diagram of a dual power supply power supply conversion provided by at least one embodiment of the present disclosure.
  • the right substation in the case of dual power supply, under normal circumstances, the right substation is in the disconnected state of the dotted line, and the power source comes from the left substation, then the left substation supplies power to the transformer through the step-by-step switch, and the equipment
  • the direction of power supply can be represented by a logical relationship from parent to child.
  • the modeling and analysis methods 10 and 20 provided by at least one embodiment of the present disclosure only need to change the setting of the connection rules of the model, and can automatically complete the rapid adjustment of the logical relationship without making major adjustments.
  • the scalability of the existing network model is limited. As new types of equipment are added, the original model structure must be modified.
  • the modeling and analysis method 20 provided by at least one embodiment of the present disclosure provides an opportunity for the infinite expansion of the network model through the establishment of the third additional layer, and the addition of new devices does not destroy the display of the existing physical layer and the connection of the logical layer.
  • the structure, which does not greatly affect the existing model, is an additional effect.
  • the number of logical devices is simplified, and the efficiency of retrieval and analysis is greatly improved.
  • the number of devices participating in network analysis can be automatically adjusted at any time, which not only greatly improves the efficiency of retrieval analysis, but also facilitates changes in network analysis models.
  • a modeling analysis method for a device management network provided by at least one embodiment of the present disclosure, applied to a management terminal, includes the following operations S301-S303:
  • Step S301 Acquire location information, type information and state information of a physical node.
  • the management terminal may obtain the information of the physical node by manually entering the node information into the management terminal by the operator, or by reading the locally saved node information, or downloading the node information from the Internet,
  • the node information may also be automatically identified by scanning a picture, and the embodiment of the present disclosure does not specifically limit the manner in which the management terminal acquires the node information.
  • Step S302 Based on the location information and type information of the physical nodes, a physical layer model is automatically constructed according to the first predetermined rule, so that the physical nodes are automatically connected into lines, and the physical nodes and the physical nodes are automatically displayed at the corresponding positions with the electronic map as the background line between.
  • Step S303 Based on the type information and state information of the physical nodes, and according to the second predetermined rule, automatically construct a logical layer model, so as to construct a network model.
  • step S302 and step S303 are similar to the above-mentioned steps S102 and S103, respectively.
  • the management terminal may also acquire the location information, type information and status information of the additional node; then based on the location information, type information of the additional node and state information, build an additional layer model to expand the network model; then, with the electronic map as the background, the type information and state information of the additional nodes are automatically displayed at the corresponding positions.
  • the management terminal may have a management function in addition to performing operations similar to the above-mentioned modeling and analysis method of the user terminal. For example, after the user terminal collects the node information and generates the corresponding network diagram and network analysis results, the operator can verify the validity or invalidity of the information through the management terminal after conducting an on-site audit. For example, in one example, an operator can maintain system data, manage user accounts, grant user rights, determine version updates, etc. through the management terminal, which is not specifically limited in the embodiments of the present disclosure.
  • the management terminal can convert the acquired node information (for example, the location of the physical node or/and the additional node) through the mobile Internet, wireless local area network, etc. Information, type information and status information, etc.) are sent to the simulation analysis server for building a network model on the simulation analysis server side, and then receive the simulation analysis results from the simulation analysis server through the mobile Internet, wireless local area network, etc. for display.
  • the embodiment of the present disclosure does not limit the specific communication mode between the management terminal and the simulation analysis server.
  • the management terminal can be automatically connected to the Internet through the mobile Internet, and the above-mentioned modeling and analysis methods 10 and 20 can be automatically executed online in real time by the management terminal.
  • the above-mentioned modeling and analysis methods 10 and 20 can be automatically executed online in real time by the management terminal.
  • a modeling and analysis method for a device management network provided by at least one embodiment of the present disclosure is applied to a simulation analysis server, and the modeling and analysis method includes the following operations:
  • Step S401 Receive location information, type information and status information of the physical node.
  • the simulation analysis server may receive the location information, type information and status information of the physical node from the user terminal through the mobile Internet, wireless local area network, etc., and may also include other information, such as image information, etc.
  • the simulation analysis server may receive the location information, type information, status information, etc. of the physical node from the management terminal through the mobile Internet, wireless local area network, and the like.
  • Step S402 Based on the location information and type information of the physical nodes, according to the first predetermined rule, a physical layer model is automatically constructed to automatically connect the physical nodes into lines. Automatically displays physical nodes and the lines between them.
  • Step S403 Based on the type information and state information of the physical node, according to the second predetermined rule, automatically build a logical layer model, so as to build a network model,
  • Step S404 In response to receiving the request data, generate a simulation analysis result.
  • Steps S402 and S403 are similar to the above-mentioned steps S102 and S103. For the description of this operation, reference may be made to the relevant descriptions of the steps S102 and S103 above, which will not be repeated here.
  • step S404 in response to the simulation analysis server receiving the request data (eg, power failure analysis, power tracking, etc.) from the user terminal or the management terminal, the simulation analysis result is generated, and the simulation analysis result is sent to User terminal or management terminal for users to view.
  • the request data eg, power failure analysis, power tracking, etc.
  • the simulation analysis server may receive the location information, type information and state information of the physical nodes from the user terminal, so as to construct the network model on the simulation analysis server side, and analyze the network model on the simulation analysis server side.
  • the generated simulation analysis results are sent to the user terminal.
  • receiving the location information, type information and status information of the physical node from the user terminal may include: receiving the location information, type information and status information of the physical node from the user terminal through the mobile Internet.
  • sending the simulation analysis result to the user terminal may include: sending the simulation analysis result to the user terminal through the mobile Internet. It should be noted that the embodiments of the present disclosure do not specifically limit the communication mode between the user terminal and the simulation analysis server.
  • the modeling analysis method applied to the simulation analysis server may further include: in response to receiving the information of the additional node, constructing an additional layer model based on the information of the additional node, the Additional layer models are used to extend the network model.
  • the additional layer models are used to extend the network model.
  • At least one embodiment of the present disclosure further provides a modeling analysis method applied to a power grid management system.
  • the method includes:
  • Step S601 Collect location information, type information and status information of the power grid equipment through the user terminal, the collection includes the location information, type information and status information of the power grid equipment through user input, the positioning function of the user terminal or taking pictures of the user terminal and automatically identifying the power grid equipment .
  • Step S602 Based on the location information and type information of the power grid equipment, according to the first predetermined rule, a physical layer model is automatically constructed to automatically connect the power grid equipment into lines, and with the electronic map as the background, the power grid equipment and the corresponding position are automatically displayed. Lines between grid equipment.
  • Step S603 Based on the type information and state information of the power grid equipment, and according to the second predetermined rule, automatically construct a logic layer model, so as to construct a network model.
  • Step S604 In response to the power failure analysis function in the scene interface being triggered, the power failure analysis result is displayed.
  • step S601-step S603 are similar to the above-mentioned steps S101-step S103.
  • steps S101-step S103 please refer to the relevant description of step S101-step S103 above, which is not repeated here. Repeat.
  • the power grid diagram after power grid modeling is performed using the above modeling and analysis method may also have functions such as fault location, power supply range analysis, and power outage information transmission.
  • a user terminal eg, a mobile phone
  • the above-mentioned modeling and analysis method applied to the power grid management system can be automatically executed online in real time by the user terminal.
  • the embodiments of the present invention do not limit this.
  • FIG. 10 is a schematic diagram of grid fault location provided by at least one embodiment of the present disclosure.
  • a power grid model is constructed based on the collected information of the power grid equipment.
  • the power tracking function can be used to analyze the intersection of the fault points, which is the fault power point.
  • the switch 2 is the fault power point. In this case, after the power grid company disconnects the switch 2, the line from the substation to the switch 2 can resume normal power supply.
  • switch 2 it can also be determined based on additional equipment (eg, power grid monitoring equipment, image monitoring equipment, etc.) that the line where user 1 and user 2 are located is out of power, so as to confirm that the upper-level power supply intersection is located at switch 2, then switch 2 is Faulty power point.
  • additional equipment eg, power grid monitoring equipment, image monitoring equipment, etc.
  • At least one embodiment of the present disclosure further provides a working range analysis method according to the above modeling analysis method, including: based on a network model composed of physical nodes and lines, analyzing the working lines corresponding to the physical nodes in the network model; Each end node of the working line is automatically connected, and according to the third predetermined rule, a closed area corresponding to the physical node is formed on the electronic map, and the closed area is the working range corresponding to the physical node.
  • a certain power grid device ie, a physical node in the power grid model can be operated within the scope of work. analysis, that is, the analysis of the power supply range.
  • FIG. 11 is a power supply range analysis diagram provided by at least one embodiment of the present disclosure.
  • the power supply range analysis function for example, firstly analyze the line supplying power from the power point (eg, substation), that is, the working line, and connect the nodes at each end. It is the power supply range of the line.
  • the farthest node is the power supply distance of the line, and the system can automatically accumulate the length of each line, which is the total length of the line.
  • the connection of end nodes is usually carried out along the road on the electronic map. For example, an area between two lines may be divided by a predetermined rule (eg, a third predetermined rule).
  • the third predetermined rule may be defined as: connecting intermediate points between adjacent devices on different working lines, and the formed connection line is an area boundary, thereby forming a complete power supply area for each line. It should be noted that, the third predetermined rule may be set based on experience, actual requirements, etc., and the specific content of the third predetermined rule is not limited in the embodiment of the present disclosure.
  • the respective power supply areas are formed by the working lines to which the two substations belong. For example, first analyze the corresponding working lines of the two substations, by automatically connecting the end nodes of the respective working lines, and according to the third predetermined rule, for example, in the middle part of the two lines, with the common center line of the equipment as the boundary, two can be formed. Each closed area with independent working lines is the corresponding power supply range of the two substations.
  • the analysis result of the power supply range may be displayed on the client side.
  • the method for analyzing the scope of work further includes: sending information to users within the scope of work corresponding to the physical node, where the information at least includes pictures and text.
  • the information includes but does not Limited to name of equipment to be serviced, image of equipment, image of affected area, estimated service time, etc.
  • failure information may be sent to users within a working range corresponding to the physical node.
  • the fault information includes, but is not limited to, the cause of the fault, the fault scope (for example, a map image corresponding to the fault scope), the estimated fault processing time, the fault line name, and the like.
  • the electronic map within the power supply range of switch 2 can be sent to users in the area with pictures and texts of the power outage information by means of WeChat or the like.
  • the outage information may include the type of the failure (eg, substation, switch failure, etc.), outage lines, images of outage areas, estimated outage time, etc., to ease the user's anxiety.
  • sending information to a user within a working range corresponding to a physical node may include sending information to an individual user or an enterprise user, etc. within the working range.
  • information may be sent to the user terminal, management terminal, etc. through the mobile Internet, wireless local area network, etc., for example, the user terminal, management terminal, etc. may display the information on the display screen for the user to quickly view.
  • the information includes at least pictures and text, and can be sent to the user by means of, for example, multimedia messages, WeChat messages, and emails, which are not specifically limited in the embodiments of the present disclosure.
  • the above-mentioned method for analyzing the working range of equipment may be applicable to a power grid management system, a water pipe network management system, a gas pipe network management system, and the like, which are not specifically limited in the embodiments of the present disclosure.
  • a water pipe failure such as a water pipe burst, etc.
  • the above-mentioned equipment working range analysis method can send a message to users within the water supply range of the faulty water pipe, that is, users who have no water.
  • Water outage information with pictures and texts such as water outage time, water outage reason and water outage range. In this way, the current situation that municipal companies such as power grids, tap water, and natural gas can only issue textual fault information can be solved.
  • a user terminal eg, a mobile phone
  • the above-mentioned method for analyzing the working range of the device can be automatically executed online in real time by the user terminal, and the embodiments of the present disclosure are for this No restrictions apply.
  • At least one embodiment of the present disclosure further provides a method for updating a network model.
  • the method for updating a network model can support distributed concurrent access and merging of network graphs.
  • the network model update method can be applied to power grid management models, water pipeline network management models, gas pipeline network management models, etc., and can also be applied to other data management models, such as road network models (for example, Baidu Maps, Google map, etc.), weather data management model, etc., which are not specifically limited in the embodiments of the present disclosure.
  • the network model updating method may include the following steps S701-S704.
  • Step S701 Divide the electronic map into multiple areas.
  • the electronic map is divided into multiple areas according to grids or administrative boundaries.
  • Step S702 During the network update process, when node information for different contents in the same area is received from multiple user terminals, a corresponding network model is generated for each of the multiple user terminals to form multiple network models.
  • multiple registered users can collect data in the same area (eg, the same line, the same cell, etc.) at the same time, and support simultaneous submission.
  • the data submitted by each registered user may form an independent submission layer named with an independent version number on the simulation analysis server.
  • the above-mentioned modeling analysis method provided by the embodiments of the present disclosure may be used to generate a corresponding network model for each user terminal based on the data submitted by each user terminal. It should be noted that other conventional modeling methods may also be used to generate a corresponding network model for each user terminal based on data submitted by each user terminal, and the embodiments of the present disclosure do not impose specific limitations on the modeling method.
  • Step S703 Based on the second predetermined condition, select a network model from the plurality of network models, and save it as a layer as a submitted layer corresponding to the current moment.
  • the second predetermined condition may include at least one of the following: the number of physical nodes included in the network model is the largest (eg, the number of devices included is the largest), the map area included in the network model is the largest, The network model includes the longest map lines, the network model includes the most types of physical nodes, and so on.
  • the second predetermined may be that the map area included in the network model has the largest area and the largest number of physical nodes.
  • the second predetermined condition may be set according to actual requirements, which is not limited by the embodiments of the present disclosure.
  • Step S704 When the number of saved submission layers reaches the threshold, or after a predetermined time from the first submission layer, based on the third predetermined condition, select a submission layer from the plurality of submission layers as the time layer, and use it as the time layer. Updates for network models.
  • the third predetermined condition may include at least one of the following: the network model includes the largest number of physical nodes (eg, includes the largest number of devices), the network model includes the largest number of physical nodes, and The included map area is the largest, the network model includes the longest map line, and the network model includes the most types of physical nodes, etc.
  • the third predetermined condition may be set according to actual requirements, which is not limited by the embodiments of the present disclosure.
  • the time layer version can be displayed on the grid diagram and compared with the existing layer version by displaying different colors. For example, update the determined time layer version as the official grid model version. For example, in one example, any registered user can evaluate the correctness of the existing power grid data by marking or submitting a version layer on the power grid diagram, which is convenient for system maintenance personnel to conduct on-site verification. For the verified and valid data, the system administrator can update some devices on the user terminal or the management terminal.
  • the content of the submitted layer is not limited in size. It can be a line or part of the equipment. As long as it is confirmed to be valid, it can be converted into a time layer for formal submission.
  • the above-mentioned network model may include a road network model, which is not limited by the embodiment of the present disclosure.
  • the above-mentioned network model updating method may be executed on the server side.
  • a user terminal eg, a mobile phone
  • the above-mentioned network model updating method may be automatically executed online in real time by the user terminal, which is not implemented in the embodiments of the present disclosure. limit.
  • At least one embodiment of the present disclosure provides a method for updating a network model based on the above-mentioned modeling and analysis method, which can effectively deal with the problem of concurrent data collection by multiple people, and also provides a method for updating a network model.
  • At least one embodiment of the present disclosure further provides a user terminal, including a memory and a processor, where instructions are stored in the memory, and when the processor executes the instructions, the user terminal is caused to perform any modeling provided by the embodiments of the present disclosure. Analytical method.
  • At least one embodiment of the present disclosure further provides a network server, including a memory and a processor, where instructions are stored in the memory, and when the processor executes the instructions, the network server executes the modeling analysis method provided by the embodiments of the present disclosure , any one of the scope of work analysis method and the network model update method.
  • a network server including a memory and a processor, where instructions are stored in the memory, and when the processor executes the instructions, the network server executes the modeling analysis method provided by the embodiments of the present disclosure , any one of the scope of work analysis method and the network model update method.

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Abstract

一种用于设备管理网络的建模分析方法、网络模型更新方法和工作范围分析方法。建模分析方法(10)包括：(S101)通过用户终端采集物理节点的位置信息、类型信息和状态信息，该采集是通过用户输入、用户终端的定位功能或者通过用户终端拍照并自动识别物理节点的位置信息、类型信息和状态信息；(S102)基于物理节点的位置信息和类型信息，按照第一预定规则自动构建物理层模型，以将物理节点自动连成线路，以电子地图为背景，在相应位置上自动显示物理节点以及物理节点之间的线路；(103)基于物理节点的类型信息和状态信息，按照第二预定规则自动构建逻辑层模型，以便构建网络模型。该方法可以自动构建网络模型以快速分析，使得用户实时、快速、自动地查看网络图和网络分析结果。

Description

用于设备管理网络的建模分析方法和网络模型更新方法
本申请要求于2021年2月8日递交的中国专利申请第202110174547.3号的优先权，在此全文引用上述中国专利申请公开的内容以作为本申请的一部分。
技术领域
本公开的实施例涉及一种用于设备管理网络的建模分析方法、工作范围分析方法、网络模型更新方法、用户终端和网络服务器。
背景技术
随着信息技术的快速发展，通过仿真建模的方法模拟现有社会各类系统的运行规律，已成为提高管理效率的一个重要手段。在现实生活运行的设备管理网络中，无论是设备之间的物理连接，还是设备之间的逻辑连接，都反映了设备的运行的一种规律。由此，通过对系统中各种设备的分析，可以完成相应网络模型的自动建模和基于网络模型的分析。
发明内容
本公开至少一个实施例提供一种用于设备管理网络的建模分析方法，应用于用户终端，所述方法包括：通过所述用户终端采集物理节点的位置信息、类型信息和状态信息，其中，所述采集是通过用户输入、所述用户终端的定位功能或者通过所述用户终端拍照并自动识别所述物理节点的位置信息、类型信息和状态信息；基于所述物理节点的位置信息和类型信息，按照第一预定规则自动构建物理层模型，以将所述物理节点自动连成线路，以电子地图为背景，在相应位置上自动显示所述物理节点以及所述物理节点之间的线路；基于所述物理节点的类型信息和状态信息，按照第二预定规则自动构建逻辑层模型，以便构建网络模型。
例如，在本公开至少一个实施例提供的建模分析方法中，基于所述物理节点的位置信息和类型信息按照第一预定规则自动构建物理层模型，包括：当通过所述用户终端改变所述物理节点的位置信息和/或类型信息时，基于所述改变后的信息，以所述电子地图为背景，自动断开原有线路中不符合所述第一预定规则的线路，并且按照所述第一预定规则，在所述改变后的物理节点及其相邻物理节点之间自动连成线路。
例如，本公开至少一个实施例提供的建模分析方法中，基于所述物理节点的位置信息和类型信息按照第一预定规则自动构建物理层模型，包括：在所述用户终端保持移动的同时，响应于采集到所述物理节点的位置信息和类型信息，实时显示所述物理节点以及其与相邻物理节点之间自动生成的线路。
例如，本公开至少一个实施例提供的建模分析方法还包括：采集附加节点的位置信息，获取所述附加节点的类型信息和状态信息；基于所述附加节点的位置信息、类型信息和状 态信息，构建附加层模型以用于扩展所述网络模型；以所述电子地图为背景，在相应位置上自动显示所述附加节点的类型信息和状态信息。
例如，在本公开至少一个实施例提供的建模分析方法中，基于所述物理节点的类型信息和状态信息，按照所述第二预定规则，自动构建所述逻辑层模型，包括：基于所述物理节点的类型信息和状态信息，确定在所述电子地图上显示的物理节点中满足第一预定条件的物理节点，作为逻辑节点；识别所述逻辑节点的类型和状态，按照所述第二预定规则，自动建立各个逻辑节点之间的拓扑关系。
例如，在本公开至少一个实施例提供的建模分析方法中，所述物理层模型和所述逻辑层模型的构建是同步执行的。
例如，本公开至少一个实施例提供的建模分析方法还包括：根据所述逻辑层模型中逻辑节点之间的拓扑关系，在所述电子地图上自动显示所述设备管理网络中的信号或流体的走向。
例如，在本公开至少一个实施例提供的建模分析方法中，在所述电子地图上显示所述设备管理网络中的信号或流体的走向，包括：在电子地图上，利用带箭头的线路来显示所述设备管理网络中的信号或流体的走向。
例如，在本公开至少一个实施例提供的建模分析方法中，所述设备管理网络是电网管理网络，所述设备管理网络中的信号或流体的走向是所述电网管理网络中的供电方向。
例如，本公开至少一个实施例提供的建模分析方法还包括：响应于场景界面中的分析功能被触发，显示仿真分析结果。
例如，在本公开至少一个实施例提供的建模分析方法中，响应于场景界面中的分析功能被触发，显示仿真分析结果，包括：响应于场景界面中的分析功能被触发，通过控制线路的颜色变化，显示仿真分析结果。
例如，在本公开至少一个实施例提供的建模分析方法中，所述响应于场景界面中的分析功能被触发，显示仿真分析结果是由所述用户终端实时在线自动执行的。
例如，在本公开至少一个实施例提供的建模分析方法中，所述用户终端采集物理节点的位置信息、类型信息和状态信息是通过移动互联网实时在线执行的。
本公开至少一个实施例还提供一种根据上述建模分析方法，所述设备管理网络是电网管理网络，所述方法包括：通过用户终端采集电网设备的位置信息、类型信息和状态信息，其中，所述采集包括通过所述用户输入、所述用户终端的定位功能或者通过所述用户终端拍照并自动识别所述电网设备的位置信息、类型信息和状态信息；基于所述电网设备的位置信息和类型信息，按照第一预定规则，自动构建物理层模型，以将所述电网设备自动连成线路，并以电子地图为背景，在相应位置上自动显示所述电网设备以及所述电网设备之间的线路；基于所述电网设备的类型信息和状态信息，按照第二预定规则，自动构建逻辑层模型，以便构建网络模型；响应于场景界面中的停电分析功能被触发，显示停电分析结果。
本公开至少一个实施例还提供一种用于设备管理网络的建模分析方法，应用于仿真分 析服务器，所述方法包括：接收物理节点的位置信息、类型信息和状态信息；基于所述物理节点的位置信息和类型信息，按照第一预定规则自动构建物理层模型，以将所述物理节点自动连成线路，所述物理层模型用于以电子地图为背景，在相应位置上自动显示所述物理节点以及所述物理节点之间的线路；基于所述物理节点的类型信息和状态信息，按照第二预定规则自动构建逻辑层模型，以便构建网络模型；响应于接收到请求数据，生成仿真分析结果。
例如，本公开至少一个实施例提供的建模分析方法，还包括：从用户终端接收所述物理节点的位置信息、类型信息和状态信息，以用于在所述仿真分析服务器端构建所述网络模型；将所述仿真分析结果发送至所述用户终端。
例如，在本公开至少一个实施例提供的建模分析方法中，从用户终端接收所述物理节点的位置信息、类型信息和状态信息，包括：通过移动互联网从用户终端接收所述物理节点的位置信息、类型信息和状态信息；以及将所述仿真分析结果发送至所述用户终端，包括：通过所述移动互联网将所述仿真分析结果发送至所述用户终端。
本公开至少一个实施例还提供一种根据上述建模分析方法的工作范围分析方法，包括：基于由所述物理节点和所述线路组成的网络模型，分析所述网络模型中与所述物理节点对应的工作线路；自动连接所述工作线路的各个末端节点，并且按照第三预定规则，在电子地图上形成与所述物理节点对应的闭合区域，所述闭合区域为所述物理节点对应的工作范围。
例如，本公开至少一个实施例提供的工作范围分析方法，还包括：向与所述物理节点对应的工作范围内的用户发送信息，所述信息至少包括图片和文字。
例如，本公开至少一个实施例提供的工作范围分析方法中，向与所述物理节点对应的工作范围内的用户发送信息，包括响应于所述物理节点发生故障，向与所述物理节点对应的工作范围内的用户发送信息，其中，所述信息包括故障线路名称、故障范围和预估故障处理时间。
本公开至少一个实施例还提供一种网络模型更新方法，包括：将电子地图划分成多个区域；在网络更新过程中，从多个用户终端接收到对于同一区域的不同内容的节点信息时，分别为所述多个用户终端中的每一个生成对应的网络模型，形成多个网络模型；基于第二预定条件，从所述多个网络模型中选择一个网络模型，以图层的方式保存，作为对应当前时刻的提交图层；当所保存的提交图层的数量达到阈值，或者距第一提交图层预定时间后，基于第三预定条件，从多个提交图层中选择一个提交图层，作为时间图层，以用于网络模型的更新。
例如，本公开至少一个实施例提供的网络模型更新方法中，所述第二预定条件和所述第三预定条件包括以下中的至少一项：所述网络模型中包括物理节点的数量最多；所述网络模型中包括的地图区域面积最大；所述网络模型中包括的地图线路最长；所述网络模型中包括的物理节点的类型最多。
例如，本公开至少一个实施例提供的网络模型更新方法中，所述网络模型包括道路网 络模型。
本公开至少一个实施例还提供一种用户终端，包括存储器和处理器，其中，所述存储器中存储指令，所述处理器执行所述指令时，使所述用户终端执行上述的方法。
本公开至少一个实施例还提供一种网络服务器，包括存储器和处理器，其中，所述存储器中存储指令，所述处理器执行所述指令时，使所述网络服务器执行上述的方法。
附图说明
为了更清楚地说明本公开实施例的技术方案，下面将对实施例的附图作简单地介绍，显而易见地，下面描述的附图仅仅涉及本公开的一些实施例，而非对本公开的限制。
图1为本公开至少一个实施例提供的一种系统仿真示意图；
图2为本公开至少一个实施例提供的一种设备管理系统的架构图；
图3为本公开至少一个实施例提供一种用于设备管理网络的建模分析方法的流程图；
图4为本公开至少一个实施例提供的一种电网物理层模型的示意图；
图5为本公开至少一种实施例提供的一种建模分析方法中对应步骤S103的流程图；
图6示出了本公开至少一个实施例提供的一种电网逻辑层模型的示意图；
图7为本公开至少一个实施例提供的一种电网附加层模型的示意图；
图8A示出了本公开至少一个实施例提供的一种系统结构分层示意图；
图8B示出了本公开至少一个实施例提供的一种仿真系统模型示意图；
图8C示出了本公开至少一个实施例提供的一种电网系统图；
图9A为本公开至少一个实施例提供的一种双电源供电示意图；
图9B为本公开至少一个实施例提供的一种双电源供电转换示意图；
图10为本公开至少一个实施例提供的电网故障定位示意图；
图11为本公开至少一个实施例提供的供电范围分析图。
具体实施方式
为使本公开实施例的目的、技术方案和优点更加清楚，下面将结合附图，对本公开实施例的技术方案进行清楚、完整地描述。显然，所描述的实施例是本公开的一部分实施例，而不是全部的实施例。基于所描述的本公开的实施例，本领域普通技术人员在无需创造性劳动的前提下所获得的所有其他实施例，都属于本公开保护的范围。
除非另外定义，本公开使用的技术术语或者科学术语应当为本公开所属领域内具有一般技能的人士所理解的通常意义。本公开中使用的“第一”、“第二”以及类似的词语并不表示任何顺序、数量或者重要性，而只是用来区分不同的组成部分。同样，“一个”、“一”或者“该”等类似词语也不表示数量限制，而是表示存在至少一个。“包括”或者“包含”等类似的词语意指出现该词前面的元件或者物件涵盖出现在该词后面列举的元件或者物件及其等同，而不排除其他元件或者物件。“连接”或者“相连”等类似的词语并非限定于物理的或者机械的连接，而是可以包括电性的连接，不管是直接的还是间接的。 “上”、“下”、“左”、“右”等仅用于表示相对位置关系，当被描述对象的绝对位置改变后，则该相对位置关系也可能相应地改变。
通常，用于设备管理网络的建模方法往往局限于网络中设备的本身，网络模型的建立局限于直接构成网络的设备，而未能将对网络产生重大影响的关联因素作为网络的一个组成部分加以考虑。此外，有限种类设备组成的网络模型只是现有生活中网络物理组成在信息世界中的代表，不能通过模型的分析来改善物理世界的网络。图1示出一种系统仿真示意图，可以看出：一是物理世界到信息世界的单向映射导致模型本身只是现有设备种类的反映，给模型的分析带来较大的局限性，二是无法通过信息世界中仿真模型的变化来分析、提升物理世界中的真实网络，虚拟的信息模型只是物理世界的单向映射，不能通过虚拟模型的变化提升物理世界的真实网络，对二者的互动产生较大的困难。
本公开至少一个实施例提供了一种用于设备管理网络的建模分析方法，应用于用户终端，包括：采集物理节点的位置信息、类型信息和状态信息，该采集是通过用户输入、用户终端的定位功能或者通过用户终端拍照并自动识别物理节点的位置信息、类型信息和状态信息；基于物理节点的位置信息和类型信息，按照第一预定规则自动构建物理层模型，以将物理节点自动连成线路，以电子地图为背景，在相应位置上自动显示物理节点以及物理节点之间的线路；基于物理节点的类型信息和状态信息，按照第二预定规则自动构建逻辑层模型，以便构建网络模型。本公开的至少一个实施例还提供了一种根据上述建模分析方法的工作范围分析方法、网络模型更新方法、用户终端和网络服务器。
本公开的至少一个实施例提供一种用于设备管理网络的建模分析方法，基于用户终端获取的设备信息，根据预定连接规则，自动构建网络模型以进行快速分析，使得用户可以实时、快速、自动地查看网络图和网络分析结果，以便基于网络模型的快速分析来提升物理世界的真实网络。
下面通过几个示例或实施例对根据本公开的至少一个实施例提供的建模分析方法进行非限制性的说明，如下面所描述的，在不相互抵触的情况下这些具体示例或实施例中不同特征可以相互组合，从而得到新的示例或实施例，这些新的示例或实施例也都属于本公开保护的范围。
图2为本公开至少一个实施例提供的一种设备管理系统的架构图。例如，在本公开至少一个实施例中，参见图2，用户终端201与仿真分析服务器202信号连接，仿真分析服务器202与管理终端203信号连接。用户终端201通过仿真分析服务器202与管理终端203进行关联和通信。根据本公开至少一个实施例，管理终端203和用户终端201可以有多个，分别与仿真分析服务器202信号连接，组成设备管理系统。
例如，用户终端201、仿真分析服务器202和管理终端203之间可以通过有线或无线网络进行通信。有线网络例如是有线局域网、广域网、有线电话通信网。无线网络例如是无线局域网、移动互联网(例如2G/3G/4G/5G)、WiFi等。需要说明的是，本公开的实施例对它们之间的具体通信方式不作限制。
例如，在本公开的至少一个实施例中，用户终端201可以是移动电话终端、平板电脑 等具有无线定位功能的移动设备。例如，用户终端201可以使用移动基站定位、WiFi定位、GPS定位等定位方法来采集位置信息，本公开的实施例对此不作限制。例如，在本公开的实施例中，管理终端203可以是电脑，也可以是一体机等，本公开的实施例对此不作限制。例如，仿真分析服务器202可以是某一设备管理网络，例如可以被部署在某些电脑上、一体机或者用户终端上等。当然，仿真分析服务器202可以是一种云服务器，也可以是本地服务器，本公开的实施例对此不作限制。例如，仿真分析服务器202可以与一个或多个用户终端201对接，在用户终端201上采集得到的数据可以发送至仿真分析服务器202，以存储或处理。
需要说明的是，在本公开的至少一个实施例中，设备管理网络可以包括，例如，电网管理系统、水管网管理系统、燃气管网系统等公共设施管理系统，当然，也可以包括有线电视网、通讯网等其他类似的设备管理网络，本公开的实施例对此不作具体限制。例如，在本公开的实施例中，在物理世界中的设备管理网络对应于信息世界中的仿真网络，即网络模型，并且，在设备管理网络的各种设备对应于网络模型中的各种节点。例如，在一个示例中，以电网管理网络为例，电网模型中的节点可以表示电网中的开关、变压器、电杆、电信基站设备等，例如，在另一个示例中，以水管网管理系统为例，水管网模型中的节点可以表示水管网中的阀门、水泵站和水处理厂等，又例如，在另一个示例中，以燃气管网管理系统为例，燃气管网模型中的节点可以表示门站、气阀门、补偿器、储气设备等，本公开的实施例对此不作具体限制，可以根据实际情况进行设置。
下面结合附图，详细说明本公开至少一个实施例提供的一种用于设备管理网络的建模分析方法。
图3为本公开至少一个实施例提供一种用于设备管理网络的建模分析方法的流程图。例如，本公开至少一个实施例提供一种用于设备管理网络的建模分析方法10，应用于用户终端，该方法包括以下步骤S101-S103，如图3所示。
需要说明的是，在本公开的实施例中，步骤S101-步骤S103可以顺序执行，也可以按调整后的其他次序执行，步骤S101-步骤S103中的部分或全部操作还可以并行执行，例如，步骤S102和步骤S103可以同步执行，本公开的实施例对各个步骤的执行顺序不作限制，可以根据实际情况调整。例如，在本公开的示例中，步骤S101-步骤S103可以在单独的用户终端中执行，例如，用户终端可以通过移动互联网自动联网，并且由用户终端实时在线执行的上述步骤S101-步骤S103。例如，部分操作也可以在仿真分析服务器上(例如，在云服务器上)实现，本公开的实施例对此不做限制。例如，在一些示例中，实施本公开至少一个实施例提供的用于设备管理网络的建模分析方法10可以选择地执行步骤S101-S103中的部分步骤，也可以执行除了步骤S101-S103以外的一些附加步骤，本公开的实施例对此不做具体限制。
步骤S101：通过用户终端采集物理节点的位置信息、类型信息和状态信息，该采集是通过用户输入、用户终端的定位功能或者通过用户终端拍照并自动识别物理节点的位置信息、类型信息和状态信息。
例如，为了方便网络图(例如，电网图、水管网图、燃气管网图等)的显示，将实际生活中的每一类设备作为一种物理节点。物理节点作为网络物理系统组成的基本单元，是显示生活中各类物理设备在仿真网络模型中的反映，通过基础的物理连接规则，参与网络图形的显示。例如，在一个示例中，操作人员携带着具有无线定位功能的移动设备(例如手机)，沿着预定线路(例如某一区域的街道)进行物理节点的信息采集。例如，在一个示例中，物理节点的信息包括位置信息、类型信息、状态信息、图像信息等，本公开的实施例对此不作限制。
例如，在本公开至少一个实施例中，以电网建模为示例，可以包括变电站、环网柜、公共变压器、开关、电杆等各种类型的物理节点。例如，操作人员在街道边的某一设备(例如环网柜)处通过定位用户终端(例如，手机)获取用户终端的定位信息以作为该物理节点的位置信息。例如，操作人员(或者用户)可以在用户终端上选择或者输入该设备的位置和类型，例如在用户终端上选择“变压器”等设备类型，例如在用户终端上输入该设备所处位置的经度和纬度等位置信息。又例如，操作人员还可以在用户终端上选择或者输入该设备的状态，例如选择“连通”或者“断开”。例如，操作人员还可以在用户终端上选择或者输入该设备的编号和名称等，例如“1号开关”。例如，操作人员还可以通过用户终端拍摄该设备及其周边环境的照片等，从而可以基于所拍摄的设备图像自动识别设备类型、识别设备所处的位置等。如此，用户终端可以采集到物理节点的位置信息、状态信息、类型信息、图片信息等，本公开的实施例对此不作具体限制。
步骤S102：基于物理节点的位置信息和类型信息，按照第一预定规则，自动构建物理层模型以将物理节点自动连成线路，以电子地图为背景，在相应位置上自动显示物理节点以及物理节点之间的线路。
例如，在一个示例中，对于要建模的设备管理网络，首先列出该网络所涉及的设备类型，将各种设备定义为各种物理节点，并且定义各种类型的物理节点之间的连接规则，即第一预定规则。例如，以电网模型为示例，第一预定规则可以包括电杆节点自动连接距其最近的另一个电杆节点，例如，第一预定规则还可以包括开关节点自动连接距其最近的变压器节点。需要说明的是，在本公开的实施例中，第一预定规则可以是基于经验、实际需求等来设置，本公开的实施例对此不作具体限制。
例如，在一个示例中，对于物理层模型，定义物理设备的类型和连接规则后，基于获取的设备信息，可以形成以电子地图为背景，直观显示各种物理设备的类型和分布的图形，这是网络图快速显示的基础。例如，在一个示例中，建立物理层模型可以按照第一预定规则，将接收到的点设备自动连成线路。例如，在一个示例中，建立网络时，通过两点确定一条直线的原理，只采集两端的节点，然后按照预定的连接规则，自动画出两点间的连接线路。在这种情况下，第一个点是确定的节点，当采集到第二个节点时，通过预定的连接规则(例如，第一预定规则)进行判断，它应该和哪一个节点连接，这是快速建立网络模型的基础，也是网络图快速显示的基础。
例如，在一个示例中，以电子地图为背景，在相应位置上自动显示物理节点以及物理 节点之间的线路。例如，电子地图可以是本地存储的，也可以是从网络上下载的，本公开的实施例对此不作限制。
图4示出了本公开至少一种实施例提供的一种电网物理层模型示意图。
例如，在本公开至少一个实施例中，以电网建模为示例，为方便电网的快速显示，将现实生活中的每一类电网设备都作为一种对应的物理节点。例如，在一个示例中，如图4所示，物理层模型中包括电杆、变电站、开关和变压器4类设备，需要说明的是，本公开的实施例对电网设备的类型不作限制。例如，在一个示例中，变电站作为电源向电网供电、电杆起到支撑作用、电杆之间的电线构成了电网的物理线路、开关在线路中起到分段的控制作用、变压器是最终的用电设备、开关和变压器都安装在电杆上。
例如，在一个示例中，为方便电网图的快速建立，还可以如下定义第一预定规则，即：线路的组成从电源(变电站)开始，第二个设备的序号为第一个设备序号加1。例如，从第1号电杆开始增加设备，如果增加的下一个设备是电杆，则自动命名为2号电杆、3号电杆等，以此类推。如果1号电杆后增加的下一个设备是开关，则可以人工(例如，通过选择或者输入)命名为1号开关，继续增加的设备中若发现下一个开关，则自动命名为2号开关，以此类推。通过这样的方式，随着电杆的不断增加，作为基本物理单元的电杆自动完成与上一个序号电杆的连接。例如，作为安装在电杆上的开关，也自动完成序号的增加。通过这样的方式，可以快速完成以电子地图为背景的电网图显示，如图4所示。
例如，在一个示例中，每一种类型的物理节点的编号的递增方向可以指示设备管理网络中的信号或流体的走向。例如，在一个示例中，设备管理网络是电网管理网络，设备管理网络中的信号或流体的走向可以是电网管理网络中的供电方向。例如，在另一个示例中，设备管理网络是水管网管理网络，设备管理网络中的信号或流体的走向则可以是供水方向。又例如，在另一个示例中，设备管理网络是燃气管网管理网络，设备管理网络中的信号或流体的走向则可以是供气方向。需要说明的是，本公开的实施例对此不作具体限制。
例如，在如图4所示的电网物理层模型中，以电杆为例，电杆的编号的递增方向可以指示电网的供电方向。例如，在一个示例中，可以定义供电的方向是从电杆编号的小数字流向大数字。这样的话，通过识别电杆上面的编号，可以显示电流的流向，即供电方向。例如，供电方向可以是从1号电杆到2号电杆到3号电杆等，以此类推。又例如，供电方向可以从1号开关到2号开关到3号开关等，以此类推。当然，在调整电网运行方式的情况下，供电方向也可以是从6号电杆到5号电杆到4号电杆等，本公开的示例对此不作具体限制，可以根据实际情况来设置。
例如，在本公开至少一个实施例中，对于物理层模型，基于用户终端(例如，手机)采集到的设备节点(即，物理节点)信息，并基于预定的连接规则(例如，第一预定规则)而将采集到的各个物理节点之间自动连成线路，快速构建网络图，无需人工作图。
步骤S103：基于物理节点的类型信息和状态信息，按照第二预定规则自动构建逻辑层模型，以便构建网络模型。
例如，在一个示例中，对于逻辑层模型，基于物理节点的不同类型和运行状态(例如， 连通或断开)，可以按照第二预定规则，将接收到的点设备自动连成逻辑网络，以确定网络中相邻设备间的拓扑关系，即逻辑层模型的拓扑结构，这是网络图分析的基础。例如，在一个示例中，以电网建模为示例，第二预定规则可以包括：变电站节点自动连接距其最近的开关节点，开关节点自动连接距其最近的变压器节点等。需要说明的是，第二预定规则可以是基于经验、实际需求等来设置，本公开的实施例对第二预定规则的具体内容不作限制。
例如，在一个示例中，可以将逻辑层与物理层作为一层。在这种情况下，所有的物理节点都是逻辑节点，在执行网络查找分析时的检索工作量太大。
图5为本公开至少一种实施例提供的一种建模分析方法中对应于步骤S103的流程图。例如，在一个示例中，如图5所示，为了提高网络的检索分析效率，步骤S103可以包括以下步骤：
步骤S131：基于物理节点的类型信息和状态信息，确定物理节点中满足第一预定条件的物理节点，作为逻辑节点；
步骤S132：基于逻辑节点的类型信息和状态信息，按照第二预定规则，自动构建逻辑层模型。
例如，在一个示例中，第一预定条件可以是参与网络模型的逻辑判断，即参与网络模型的状态分析。这样，可以大幅降低网络模型涉及的物理设备的数量，提高检索效率。后文中所提到的逻辑层主要指这种简化后的逻辑节点组成的逻辑层。需要说明的是，本公开的实施例对第一预定条件的具体内容不作限制，可以根据实际需求来设置。
例如，在本公开至少一个实施例中，以电网建模为示例，如果将物理层的电网设备都作为逻辑节点，那么它们都将参与网络的分析，检索量会很大。为提高网络的检索效率，将电网系统中参与逻辑判断(状态判断)的设备和线路终端的用电设备作为逻辑节点。
图6示出了本公开至少一个实施例提供的一种电网逻辑层模型的示意图。例如，在本公开至少一个实施例中，以电网建模为示例，逻辑节点包括变电站、开关和变压器3类设备。例如，如图6所示，变电站向开关供电，开关向变压器供电。只承担支撑作用的电杆不参与系统的网络分析，因此不属于逻辑节点对应的设备。
例如，在一个示例中，可以如下定义第二预定规则：将变电站作为原始的电源点，开关的电源来自变电站或上一级开关，变压器的电源来自开关。按照这样的第二预定规则，首先在物理层的电子地图上定义作为电源点的变电站位置，随着开关的出现，自动搜索最近的变电站或开关，结合其所在电杆的编号，判断其上级电源并进行逻辑关系的连接。例如，随着变压器的出现，自动搜索最近的开关并分析出合适的电源点进行逻辑关系的连接。通过这样的方式，可以快速完成电网逻辑层的建立，如图6所示。
例如，在本公开至少一个实施例中，步骤S102和步骤S103可以是同步执行的，即物理层模型和逻辑层模型可以是同时构建，以便快速构建网络模型，快速显示具有分析功能的网络图。
因此，本公开至少一个实施例提供的用于设备管理网络的建模分析方法10可以利用 移动用户终端进行数据采集，根据预定的连接规则，对设备的物理显示和逻辑关系进行一次性的自动处理，后续规则的变化会自动改变逻辑关系的连接，使得用户可以实时、快速、自动地查看网络图和网络分析结果，以便基于网络模型的快速分析来提升物理世界的真实网络。此外，通过从物理节点中选择逻辑节点，大大减少了检索工作量，提供网络的检索效率。
例如，在本公开至少一个实施例中，基于物理节点的位置信息和类型信息按照第一预定规则自动构建物理层模型，可以包括当通过用户终端改变(或更新)物理节点的位置信息和/或类型信息时，基于改变(或更新)后的信息，以电子地图为背景，自动断开原有线路中不符合第一预定规则的线路，并且按照第一预定规则，在改变后的物理节点及其相邻物理节点之间自动连成线路。
例如，本公开至少一个示例中，假设已有电网模型包括1号节点、2号节点和3号节点，并且1号节点线路连接2号节点，2号节点线路连接3号节点。例如，在一个示例中，在前述1号、2号、3号节点都是电杆的情况下，当用户通过例如手机终端移动2号电杆节点时，即改变2号电杆节点的位置信息时，自动断开移动前2号电杆节点与1号和3号节点之间的连线，并基于改变后的节点信息，按照第一预定规则，自动连接移动后的2号电杆节点与1号和3号电杆节点之间的连线。需要说明的是，在基于改变后的节点信息，按照第一预定规则，若2号电杆节点依然是与1号电杆节点和3号电杆节点连接，由于模型的快速更新，用户可能在手机界面上看到1号节点与2号节点之间的连线以及2号节点与3号节点之间的连线随着2号节点移动而移动。
例如，在一个示例中，在前述1号、2号、3号节点都是电杆的情况下，当用户通过例如手机终端在2号和3号电杆节点之间增加一个新的4电杆节点时，自动断开2号和3号节点之间的连线，并且基于改变后的节点信息，按照第一预定规则，自动线路连接2号、3号和4号电杆节点。若2号和3号节点之间的原有线路与更新后的2号、3号和4号电杆节点之间的线路重合，由于模型的快速更新，用户可能在手机界面上看到在2号和3号之间的线路上新增4号节点。
例如，在另一个示例中，在1号、2号、3号节点都是电杆的情况下，当用户通过例如手机终端删除2号电杆节点时，则自动断开2号电杆节点与1号和3号电杆节点之间的连线，若在基于改变后的节点信息，按照第一预定规则，1号电杆节点是自动与3号电杆节点连线，由于模型的快速更新，用户可能在手机界面上看到2号节点在电子地图上消失的同时，1号节点与3号节点自动连成线路。
又例如，在一个示例中，在1号节点是变电站、2号节点是开关、3号节点是变压器的情况下，在用户通过手机终端删除2号开关节点时，若按照第一预定规则，1号节点无法与3号节点直接连线，则用户可能在手机界面上看到2号节点在电子地图上消失的同时，2号节点与1号节点和3号节点的连线也自动断开。
因此，根据本公开的实施例提供的上述建模分析方法10，当物理节点信息发生变化时，例如，某一物理节点被移动、删除、新增等，物理层模型会自动发生变化，即，基于 变化后的物理节点信息自动连线，如此，不会浪费大量人力资源去手动修改线路，也不会出现无法连接的情况。
例如，在本公开至少一个实施例中，对于步骤S102，基于物理节点的位置信息和类型信息按照第一预定规则自动构建物理层模型还可以包括：在用户终端保持移动的同时，响应于采集到物理节点的位置信息和类型信息，实时显示物理节点以及其与相邻物理节点之间自动生成的线路。
例如，在本公开至少一个实施例中，当用户持用户终端(例如手机)沿着路线边走边采集周围节点信息时，响应于采集到节点信息，用户终端上会自动实时地在电子地图上显示所采集到的物理节点，以及该物理节点与相邻物理节点之间的线路。如此，用户可以实时、快速、自动地在用户终端上查看网络图。
为了扩展现有的网络模型，且不破坏原有物理层模型和逻辑层模型，本公开至少一个实施例还提供一种用于设备管理网络的建模分析方法20。例如，该建模分析方法20，除了上述步骤S101-S103以外，还包括以下步骤：
步骤S201：采集附加节点的位置信息，获取附加节点的类型信息和状态信息；
步骤S202：基于附加节点的位置信息、类型信息和状态信息，构建附加层模型以用于扩展网络模型；
步骤S203：以电子地图为背景，在相应位置上自动显示附加节点的类型信息和状态信息。
例如，在本公开至少一个实施例中，附加节点对应于随着系统功能的扩展而出现的对系统分析产生重大影响的附加设备，例如，附加设备可以是某一种附属状态的基本组成部分。随着系统功能的增加，这类附属状态可以有很多种，每种状态可以有许多个组成单元，附加设备是在网络模型建成后相继诞生的，可以作为新的物理单元进行显示，但不影响原有网络的物理连接，也可以作为新的逻辑单元参与分析，但不影响原有网络的逻辑连接。附加节点是以物理或逻辑网络附加状态的角色出现，对网络的分析带来更多的影响。对于附加层模型中的附加节点，包括附加设备的物理状态或逻辑连接状态，或者二者都有。附加设备可以是具有物理状态的设备直接增加到物理层模型的设备类型中，进行图形的显示，由于是后来附加到图形中的，所以不破坏原有设备的连接方式，不影响原有物理网络的显示。附加设备也可以是具有逻辑连接状态的设备。设备之间的连接关系可以是有连接规则的，也可以是没有连接规则的，可以参与网络的分析，丰富系统分析的内容。附加层模型是网络模型不断扩展功能的基础，也是网络高级分析的基础。
图7为本公开至少一个实施例提供的一种电网附加层模型的示意图。
例如，在本公开至少一个实施例中，以电网建模为示例，如图7所示，电网系统中的附加设备可以是附加在电杆或电线上的电网监测设备，也可以是向具有接收功能的电杆发送灯光或图像的设备，例如图像监测设备、灯光监测设备等，本公开的实施例对此不作限制。例如，附加设备可以不是电网模型中物理层的基本组成单元，电网的组成不依赖其存在，也可以不是电网模型中逻辑层的基本组成部分，网络的基本分析可以不需要其支持。 附加设备按照功能的不同，可以根据直接安装在电线或电杆上的设备监测电流的大小，也可以通过周围的光源来间接的判断是否停电，还可以通过分析周围火灾的图像，提供停电故障的预警等。随着未来系统功能的扩展，还可以扩展出更多的附加信息来源，本公开的实施例对此不作限制。例如，附加设备可以是物理设备，如电网监测设备，可以在物理网络的组成中进行显示，还可以参与逻辑层的网络分析。又例如，附加设备还可以是灯光、图像之类非物理的设备信息，只能参与逻辑层的网络分析。由于附加设备是在基本的物理层模型和逻辑层模型建成后相继诞生的，对原有的物理层、逻辑层的连接不构成影响，但对电网的高级分析发挥巨大的作用。
例如，在附加层的设备类型中，电网监测设备是安装在电线杆或线路上，它通过提供信息的方式，实时监测电网是否有电，并参与分析电网的供电状态，所以它既有物理状态或逻辑连接状态。但它的安装位置可以显示在电网图中，可以作为所在线路或设备属性的一部分，使线路或设备参与逻辑的分析，如图7所示。
图8A示出了本公开至少一个实施例提供的一种系统结构分层示意图，图8B示出了本公开至少一个实施例提供的一种仿真系统模型示意图，图8C示出了本公开至少一个实施例提供的一种电网系统图。
例如，如图8A和8B所示，在本公开至少一个实施例中，以上物理层、逻辑层、附加层三层模型的叠加，可以构成网络模型的完整结构。例如，在一个示例中，基于获取的各种物理设备的位置信息、类型信息和状态信息等，对不同类型的设备进行不同的处理，快速完成仿真网络模型的构建，例如，如图8B所示的仿真网络模型。
例如，在一个示例中，以电网建模为示例，如图8C所示，在网络模型建立时，可以按照预定的物理和逻辑连接规则，自动的同步完成电网物理层和逻辑层模型的组建，根据后续增加的各类监测设备，进行附属层的添加。例如，物理层模型使电网图正常显示，逻辑层模型使电网图具备分析功能，附加层模型使电网图可以自动、快速地进行分析判断，三者的共同作用，构成了可以实时显示电网现状的网络模型，并且可以快速、自动的给出故障的分析结果，例如停电分析结果等。
例如，在本公开至少一个实施例中，以电网建模为示例，如图8C所示，从作为变电站的电源开始，按编号的顺序采集电杆和设备，根据设备的不同类型，同步完成物理层和逻辑层网络的建立。然后，根据电杆和电线上监测设备的位置，将设备显示在物理层的电网图上。同时，将监测设备作为所在电线和电杆的属性加入到附加层中，通过电网状态信息(有电或停电)的显示，使不具备逻辑分析功能的电线和电杆加入到逻辑分析中，成为电网高级分析的一部分，从而完成了实时显示电网现状网络模型的建立。
例如，在本公开至少一个实施例中，上述建模分析方法还可以包括根据逻辑层模型中逻辑节点之间的拓扑关系，在电子地图上自动显示设备管理网络中的信号或流体的走向。
例如，在一个示例中，在电子地图上显示设备管理网络中的信号或流体的走向，包括：在电子地图上，利用带箭头的线路来显示设备管理网络中的信号或流体的走向。当然也可以利用其他的方式(例如，仿真分析结果等)来显示信号或流体的走向，本公开的实施例 对此不作限制。
例如，在本公开至少一个实施例中，设备管理网络可以是电网管理网络，则设备管理网络中的信号或流体的走向是该电网管理网络中的供电方向，当然，本公开的实施例对此不作限制。
例如，在本公开至少一个实施例中，上述建模分析方法还可以包括：响应于场景界面中的分析功能按钮被触发，显示相应的仿真分析结果。
例如，在本公开至少一个实施例中，基于步骤S102和步骤S103中建立的网络模型具有网络分析功能。例如，在一个示例中，在用户终端显示的场景界面中存在分析功能按钮，当用户触发某一分析功能按钮时，响应于场景界面中的分析功能按钮被触发，用户终端会显示相应的仿真分析结果。例如，以电网建模为示例，当用户在用户终端上触发停电分析按钮时，用户终端会自动显示相应的停电分析结果。
例如，在本公开至少一个实施例中，响应于场景界面中的分析功能被触发，通过控制线路的颜色变化，显示仿真分析结果。例如，在一个示例中，某一电网线路中的开关断开而导致停电，响应于场景界面中的停电分析功能被触发，通过改变该开关控制的线路的颜色，来告知用户该线路停电。当然，也可以通过其他方式来告知用户该线路停电，例如向特定区域的用户发送消息等，本公开的实施例对此不作具体限制。
例如，在本公开至少一个实施例中，上述操作，响应于场景界面中的分析功能被触发，显示仿真分析结果可以是由用户终端实时在线自动执行的，例如通过移动互联网等，本公开的实施例对此不作限制。
例如，在本公开至少一个实施例中，上述操作，用户终端采集物理节点的位置信息、类型信息和状态信息可以是通过移动互联网实时在线执行的，用户终端也可以通过其他方式自动联网，本公开的实施例对此不作限制。
例如，在本公开至少一个实施例中，用户终端在执行数据采集操作(例如，上述步骤S101或步骤S201)后，可以通过移动互联网(例如，5G、4G等)等将所获取的节点信息(例如，物理节点或/和附加节点的位置信息、类型信息和状态信息等)发送至仿真分析服务器，以用于在仿真分析服务器端构建网络模型，然后也可以通过移动互联网接收来自仿真分析服务器的仿真分析结果，以用于显示。当然，本公开的实施例对用户终端和仿真分析服务器之间的具体通信方式不作限制。在仿真分析服务器端的具体操作在下文详细描述。
例如，在本公开至少一个实施例中，用户终端(例如，手机)可以通过移动互联网自动联网，并且上述建模分析方法10和20可以是由用户终端实时在线自动执行的，本公开的实施例对此不作限制。
本公开至少一个实施例提供的建模分析方法通过分类分层的方式，结合预定的规则(例如，第一预定规则、第二预定规则等)，快速完成网络模型的建立，通过附加层的叠加，可以在不影响原有网络结构的情况下，给网络的无限扩展预留了空间。例如，本公开至少一个实施例提供的上述建模分析方法10和20包括但不限于如下优点：
第一：现有网络模型的建立需要的人工参与较多，经常在采集完设备的位置和属性信息后，需要人工建立逻辑关系的连接，随着逻辑关系的变化(例如，电网设备从父子关系变成连接关系)，设备的逻辑连接需要人工手动处理。
图9A为本公开至少一个实施例提供的一种双电源供电示意图，图9B为本公开至少一个实施例提供的一种双电源供电转换示意图。例如，如图9A所示，在双电源供电的情况下，通常情况下，右侧变电站处于虚线的断开状态，电源来自左侧的变电站，则左侧变电站通过逐级开关向变压器供电，设备之间可以以一种从父到子的逻辑关系表示供电的方向。例如，如图9B所示，当左侧变电站处于虚线断开状态，网络电源来自右侧的变电站，图中开关的供电方向发生了变化。这种情况下，原有的父子关系是错误的，必须将模型中设备间的父子关系改为连接关系。对于这种情况，本公开至少一个实施例提供的建模分析方法10和20只需更改模型的连接规则的设置，无需做大的调整，即可自动完成逻辑关系的快速调整。
第二：现有网络模型的扩展性受限。随着新种类设备的加入，必须修改原有模型结构。本公开至少一个实施例提供的建模分析方法20通过第三层附加层的建立，给网络模型的无限扩展提供了契机，而且新设备的加入不破坏现有物理层的显示和逻辑层连接的结构，对现有模型不造成大的影响，是一种附加的效应。
第三：简化了逻辑设备的数量，大幅提高了检索分析的效率。通过对逻辑层和附加层设备的定义，可随时自动调整参与网络分析的设备数量，不仅大幅提高检索分析的效率，而且方便了网络分析模型的变化。
以上介绍了根据本公开实施例的在用户终端执行的建模分析方法，下面进一步介绍根据本公开实施例的在管理端执行的建模分析方法。该方法与前述实施例中的方法对应，为了说明书的简洁，以下仅作简要描述，具体可以参见前述实施例中的建模分析方法。
例如，本公开至少一个实施例提供的一种用于设备管理网络的建模分析方法，应用于管理终端，包括以下操作S301-S303：
步骤S301：获取物理节点的位置信息、类型信息和状态信息。
例如，在本公开至少一个实施例中，管理终端获取物理节点的信息可以是通过操作人员向管理终端手动录入节点信息，也可以是读取本地保存的节点信息，或者从互联网上下载节点信息，还可以是通过扫描图片以自动识别节点信息等，本公开的实施例对管理终端获取节点信息的方式不作具体限制。
步骤S302：基于物理节点的位置信息和类型信息，按照第一预定规则自动构建物理层模型，以将物理节点自动连成线路，以电子地图为背景，在相应位置上自动显示物理节点以及物理节点之间的线路。
步骤S303：基于物理节点的类型信息和状态信息，按照第二预定规则，自动构建逻辑层模型，以便构建网络模型。
例如，在本公开至少一个实施例中，步骤S302和步骤S303的操作分别与上述步骤S102和步骤S103相似，关于这些操作的说明可以参考上文中关于步骤S102-步骤S103 的相关描述，此处不再赘述。
例如，在本公开至少一个实施例中，对应于用户终端执行的上述步骤S201-S202，管理终端也可以获取附加节点的位置信息、类型信息和状态信息；然后基于附加节点的位置信息、类型信息和状态信息，构建附加层模型以用于扩展网络模型；然后，以电子地图为背景，在相应位置上自动显示附加节点的类型信息和状态信息。
在本公开的实施例中，管理终端除了可以执行与用户终端的上述建模分析方法类似的操作以外，还可以具有管理功能。例如，当用户终端采集到节点信息，生成相应的网络图和网络分析结果后，操作人员可以进行实地审核后，通过管理终端确认信息有效或无效。例如，在一个示例中，操作人员可以通过管理终端维护系统数据，管理用户账户、授予用户权限，确定版本更新等，本公开的实施例对此不作具体限制。
例如，在本公开至少一个实施例中，与用户终端类似，管理终端在获取节点信息后，可以通过移动互联网、无线局域网等将所获取的节点信息(例如，物理节点或/和附加节点的位置信息、类型信息和状态信息等)发送至仿真分析服务器，以用于在仿真分析服务器端构建网络模型，然后通过移动互联网、无线局域网等接收来自仿真分析服务器的仿真分析结果，以用于显示。当然，本公开的实施例对管理终端和仿真分析服务器之间的具体通信方式不作限制。
例如，在本公开至少一个实施例中，与用户终端类似，管理终端可以通过移动互联网自动联网，并且上述建模分析方法10和20可以是由管理终端实时在线自动执行的，本公开的实施例对此不作限制。
以上介绍了根据本公开实施例的在管理终端执行的建模分析方法，下面进一步介绍根据本公开实施例的在仿真分析服务器执行的建模分析方法。该方法与前述实施例中的方法对应，为了说明书的简洁，以下仅作简要描述，具体可以参见前述实施例中的建模分析方法。
例如，本公开至少一个实施例提供的一种用于设备管理网络的建模分析方法，应用于仿真分析服务器，该建模分析方法包括以下操作：
步骤S401：接收物理节点的位置信息、类型信息和状态信息。
例如，在一个示例中，仿真分析服务器可以通过移动互联网、无线局域网等从用户终端接收到物理节点的位置信息、类型信息和状态信息，还可以包括其他信息，例如图像信息等，本公开的实施例对此不作限制。例如，在一个示例中，仿真分析服务器可以通过移动互联网、无线局域网等从管理终端接收到物理节点的位置信息、类型信息和状态信息等。
步骤S402：基于物理节点的位置信息和类型信息，按照第一预定规则，自动构建物理层模型，以将物理节点自动连成线路，该物理层模型用于以电子地图为背景，在相应位置上自动显示物理节点以及物理节点之间的线路。
步骤S403：基于物理节点的类型信息和状态信息，按照第二预定规则，自动构建逻辑层模型，以便构建网络模型，
步骤S404：响应于接收到请求数据，生成仿真分析结果。
步骤S402和S403与上述步骤S102和S103类似，关于此操作的说明可以参考上文中关于步骤S102和步骤S103的相关描述，此处不再赘述。
例如，对于步骤S404，在一个示例中，响应于仿真分析服务器接收到来自用户终端或管理终端的请求数据(例如，停电分析、电源跟踪等)，生成仿真分析结果，并将仿真分析结果发送至用户终端或管理终端，以供用户查看。
例如，在本公开至少一个实施例中，仿真分析服务器可以从用户终端接收物理节点的位置信息、类型信息和状态信息，以用于在仿真分析服务器端构建网络模型，并将在仿真分析服务器端生成的仿真分析结果发送至用户终端。
例如，在本公开至少一个实施例中，从用户终端接收物理节点的位置信息、类型信息和状态信息可以包括：通过移动互联网从用户终端接收物理节点的位置信息、类型信息和状态信息。例如，将仿真分析结果发送至用户终端可以包括：通过移动互联网将仿真分析结果发送至用户终端。需要说明的是，本公开的实施例对用户终端和仿真分析服务器之间的通信方式不作具体限制。
例如，在本公开的至少一个实施例中，应用于仿真分析服务器的建模分析方法建模分析方法还可以包括：响应于接收到附加节点的信息，基于附加节点的信息构建附加层模型，该附加层模型用于扩展网络模型。关于构建附加层模型操作的说明可以参考上文中关于步骤S202的相关描述，此处不再赘述。
例如，本公开至少一个实施例还提供了一种应用于电网管理系统的建模分析方法。该方法包括：
步骤S601：通过用户终端采集电网设备的位置信息、类型信息和状态信息，该采集包括通过用户输入、用户终端的定位功能或者通过用户终端拍照并自动识别电网设备的位置信息、类型信息和状态信息。
步骤S602：基于电网设备的位置信息和类型信息，按照第一预定规则，自动构建物理层模型，以将电网设备自动连成线路，并以电子地图为背景，在相应位置上自动显示电网设备以及电网设备之间的线路。
步骤S603：基于电网设备的类型信息和状态信息，按照第二预定规则，自动构建逻辑层模型，以便构建网络模型。
步骤S604：响应于场景界面中的停电分析功能被触发，显示停电分析结果。
例如，在本公开至少一个实施例中，步骤S601-步骤S603的操作与上述步骤S101-步骤S103相似，关于这些操作的说明可以参考上文中关于步骤S101-步骤S103的相关描述，此处不再赘述。
例如，在一个示例中，利用上述建模分析方法进行电网建模后的电网图还可以具有故障定位、供电范围分析、停电信息发送等功能。
例如，在本公开至少一个实施例中，用户终端(例如，手机)可以通过移动互联网自动联网，并且上述应用于电网管理系统的建模分析方法可以是由用户终端实时在线自动执行的，本公开的实施例对此不作限制。
图10为本公开至少一个实施例提供的电网故障定位示意图。例如，在一个示例中，在采用上述建模分析方法，用户通过手机沿路线采集电网设备的信息后，基于采集到的电网设备信息，构建电网模型。例如，可以利用电源追踪功能，分析故障点的交汇处，即为故障电源点，如图10所示，接收到用户1和用户2发出停电信息后，其上级电源交汇处位于开关2，则开关2即为故障电源点。这种情况下，电网公司断开开关2后，从变电站到开关2之间的线路即可恢复正常供电。例如，在一个示例中，还可以基于附加设备(例如，电网监测设备、图像监测设备等)确定用户1和用户2位置所在线路停电，从而确认上级电源交汇处位于开关2，则开关2即为故障电源点。
例如，本公开至少一个实施例还提供了一种根据上述建模分析方法的工作范围分析方法，包括：基于由物理节点和线路组成的网络模型，分析网络模型中与物理节点对应的工作线路；自动连接该工作线路的各个末端节点，并且按照第三预定规则，在电子地图上形成与该物理节点对应的闭合区域，该闭合区域为该物理节点对应的工作范围。
例如，以电网管理系统为示例，通过上述建模分析方法构建电网模型(由物理节点和线路组成的网络模型)后，可以对电网模型中的某一电网设备(即，物理节点)进行工作范围的分析，即供电范围的分析。
图11为本公开至少一个实施例提供的供电范围分析图。例如，在一个示例中，如图11所示，在建立电网模型以后，对于供电范围分析功能，例如首先分析从电源点(例如，变电站)供电的线路，即工作线路，将各个末端的节点连接起来，即为该线路的供电范围。例如，距离最远端的节点即为线路的供电距离，系统可以自动完成各段线路长度的累加，即为线路的总长度。在实践中，末端节点的连接通常沿电子地图上的道路进行。例如，在两条线路中间的区域，可以通过预定的规则(例如，第三预定规则)进行划分。例如，第三预定规则可以定义为：连接分别处于不同工作线路上的相邻设备之间的中间点，形成的连线为区域边界，从而形成各条线路完整的供电区域。需要说明的是，第三预定规则可以基于经验、实际需求等来设置，本公开的实施例对第三预定规则的具体内容不作限制。
例如，在图11所示的示例中，通过两个变电站所属的工作线路分别形成了各自的供电区域。例如，首先分析两个变电站各自对应的工作线路，通过自动连接各自工作线路的末端节点，并按照第三预定规则，例如在两条线路中间部分，以设备的共同中线为边界，则可以形成两个工作线路独立的闭合区域，分别是两个变电站各自对应的供电范围。
例如，在本公开至少一个实施例中，响应于用户界面中的分析功能被触发，可以在客户端显示供电范围的分析结果。
该工作范围分析方法还包括：向与物理节点对应的工作范围内的用户发送信息，该信息至少包括图片和文字。例如，在一个示例中，当某地供电局计划下周对某一电网设备进行检修时，则可以提前向该电网设备对应的工作范围内的用户发送图文并茂的信息，例如，该信息包括但不限于待检修的设备名称、设备图像、受影响的区域图像、估计检修时间等。
例如，在本公开至少一个实施例中，当检测到某一物理节点(例如某一电网设备)发生故障时，可以向与该物理节点对应的工作范围内的用户发送故障信息。例如，该故障信 息包括但不限于故障原因、故障范围(例如，对应故障范围的地图图像)和预估故障处理时间、故障线路名称等。
例如，在一个示例中，针对图10的停电状况，可将开关2供电范围内的电子地图，以微信等方式向该区域内的用户发送图文并茂的停电信息。例如，该停电信息可以包括故障的类型(例如，变电站、开关故障等)、停电线路、停电区域图像、预估停电时间等，以缓解用户的焦虑。
例如，在本公开的实施例中，向与物理节点对应的工作范围内的用户发送信息，可以包括向该工作范围内的个人用户或者企业用户等发送信息。例如，在一个示例中，可以通过移动互联网、无线局域网等向用户终端、管理终端等发送信息，例如用户终端、管理终端等可以将该信息显示在显示屏幕上，以供用户快速查看。例如，该信息至少包括图片和文字，例如可以以彩信、微信、邮件等方式发送至用户，本公开的实施例对此不作具体限制。
需要说明的是，上述设备工作范围分析方法可以适用于电网管理系统、水管网管理系统、燃气管网管理系统等，本公开的实施例对此不作具体限制。例如，在一个示例中，当检测到某一处的水管故障(例如水管爆裂等)，通过上述设备工作范围分析方法，可以向该故障水管的供水范围内的用户，即停水的用户，发送图文并茂的停水信息，例如停水时间、停水原因和停水范围等。这样，可以解决目前电网、自来水、天然气等市政公司只能发布文字故障信息的现状。
例如，在本公开至少一个实施例中，用户终端(例如，手机)可以通过移动互联网自动联网，并且上述设备工作范围分析方法可以是由用户终端实时在线自动执行的，本公开的实施例对此不作限制。
例如，本公开的至少一个实施例还提供了一种网络模型更新方法，需要说明的是，该网络模型更新方法可以支持分布式的并发访问和网络图的合并。还需要说明的是，该网络模型更新方法可以适用于电网管理模型、水管网管理模型、燃气管网管理模型等，还可以适用于其他数据管理模型，例如道路网络模型(例如用于百度地图、谷歌地图等)、气象数据管理模型等，本公开的实施例对此不作具体限制。
例如，在本公开至少一个实施例中，该网络模型更新方法可以包括以下步骤S701-S704。
步骤S701：将电子地图划分成多个区域。
例如，在一个示例中，为了方便新区域的网络快速建模，按照网格或者行政边界等方式将电子地图划分成多个区域。
步骤S702：在网络更新过程中，从多个用户终端接收到对于同一区域的不同内容的节点信息时，分别为多个用户终端中的每一个生成对应的网络模型，形成多个网络模型。
例如，在一个示例中，多个注册用户可以同时进行同一区域(例如，同一条线路、同一个小区等)的数据采集，并且支持同时提交。例如，在一个示例中，每个注册用户提交的数据可以在仿真分析服务器形成以独立版本号命名的独立提交图层。
例如，在一个示例中，可以采用本公开的实施例提供的上述建模分析方法，基于每个用户终端提交的数据，为每一个用户终端生成对应的网络模型。需要说明的是，也可以采用其他常规的建模方法，以基于每个用户终端提交的数据，为每一个用户终端生成对应的网络模型，本公开的实施例对建模方法不作具体限制。
步骤S703：基于第二预定条件，从多个网络模型中选择一个网络模型，以图层的方式保存，作为对应当前时刻的提交图层。
例如，在一个示例中，第二预定条件可以包括以下内容中的至少一个：网络模型中包括的物理节点的数量最多(例如，包括的设备数量最多)、网络模型中包括的地图区域面积最大、网络模型中包括的地图线路最长、网络模型中包括的物理节点的类型最多等。例如，在一个示例中，第二预定可以为网络模型中包括的地图区域面积最大并且物理节点的数量最多。当然，第二预定条件可以根据实际需求来设置，本公开的实施例对此不作限制。
步骤S704：当所保存的提交图层的数量达到阈值，或者距第一提交图层预定时间后，基于第三预定条件，从多个提交图层中选择一个提交图层，作为时间图层，以用于网络模型的更新。
例如，在一个示例中，与第二预定条件类似，第三预定条件可以包括以下内容中的至少一个：网络模型中包括的物理节点的数量最多(例如，包括的设备数量最多)、网络模型中包括的地图区域面积最大、网络模型中包括的地图线路最长、网络模型中包括的物理节点的类型最多等。当然，第三预定条件可以根据实际需求来设置，本公开的实施例对此不作限制。
例如，以电网建模为示例，可以将时间图层版本在电网图上显示，并与现有图层版本通过不同颜色的显示方式进行比对。例如，将确定的时间图层版本作为正式的电网模型版本予以更新。例如，在一个示例中，任何注册用户均可以通过在电网图上标注或提交版本图层的方式，对现有电网数据的正确性进行评价，方便系统维护人员进行现场的核实。对核实有效的数据，系统管理员可在用户终端或者管理端进行部分设备的更新。
需要说明的是，提交图层的内容不限大小，可以是一段线路，也可以是部分设备，只要确认有效，即可转化为时间图层进行正式提交。
例如，在本公开至少一个实施例中，上述网络模型可以包括道路网络模型，本公开的实施例对此不作限制。
例如，在本公开至少一个实施例中，上述网络模型更新方法可以是在服务器端执行的。例如，在本公开至少一个实施例中，用户终端(例如，手机)可以通过移动互联网自动联网，并且上述网络模型更新方法可以是由用户终端实时在线自动执行的，本公开的实施例对此不作限制。
因此，本公开至少一个实施例提供的基于上述建模分析方法的网络模型更新方法，可以有效处理多人并发的数据采集问题，也提供了一种网络模型的更新方式。
例如，本公开至少一个实施例还提供了一种用户终端，包括存储器和处理器，该存储器中存储指令，该处理器执行指令时，使用户终端执行本公开的实施例提供的任一建模分 析方法。
例如，本公开至少一个实施例还提供了一种网络服务器，包括存储器和处理器，该存储器中存储指令，该处理器执行指令时，使网络服务器执行本公开的实施例提供的建模分析方法、工作范围分析方法、网络模型更新方法中的任一种方法。
有以下几点需要说明：
(1)本公开实施例附图只涉及到本公开实施例涉及到的结构，其他结构可参考通常设计。
(2)在不冲突的情况下，本公开的实施例及实施例中的特征可以相互组合以得到新的实施例。
以上所述，仅为本公开的具体实施方式，但本公开的保护范围并不局限于此，本公开的保护范围应以所述权利要求的保护范围为准。

Claims (26)

  1. 一种用于设备管理网络的建模分析方法，应用于用户终端，所述方法包括：
    通过所述用户终端采集物理节点的位置信息、类型信息和状态信息，其中，所述采集是通过用户输入、所述用户终端的定位功能或者通过所述用户终端拍照并自动识别所述物理节点的位置信息、类型信息和状态信息；
    基于所述物理节点的位置信息和类型信息，按照第一预定规则自动构建物理层模型，以将所述物理节点自动连成线路，以电子地图为背景，在相应位置上自动显示所述物理节点以及所述物理节点之间的线路；
    基于所述物理节点的类型信息和状态信息，按照第二预定规则自动构建逻辑层模型，以便构建网络模型。
  2. 根据权利要求1所述的建模分析方法，其中，基于所述物理节点的位置信息和类型信息按照第一预定规则自动构建物理层模型，包括：
    当通过所述用户终端改变所述物理节点的位置信息和/或类型信息时，基于所述改变后的信息，以所述电子地图为背景，自动断开原有线路中不符合所述第一预定规则的线路，并且按照所述第一预定规则，在所述改变后的物理节点及其相邻物理节点之间自动连成线路。
  3. 根据权利要求1或2所述的建模分析方法，其中，基于所述物理节点的位置信息和类型信息按照第一预定规则自动构建物理层模型，包括：
    在所述用户终端保持移动的同时，响应于采集到所述物理节点的位置信息和类型信息，实时显示所述物理节点以及其与相邻物理节点之间自动生成的线路。
  4. 根据权利要求1-3中任一项所述的建模分析方法，还包括：
    采集附加节点的位置信息，获取所述附加节点的类型信息和状态信息；
    基于所述附加节点的位置信息、类型信息和状态信息，构建附加层模型以用于扩展所述网络模型；
    以所述电子地图为背景，在相应位置上自动显示所述附加节点的类型信息和状态信息。
  5. 根据权利要求1-4中任一项所述的建模分析方法，其中，基于所述物理节点的类型信息和状态信息，按照所述第二预定规则，自动构建所述逻辑层模型，包括：
    基于所述物理节点的类型信息和状态信息，确定在所述电子地图上显示的物理节点中满足第一预定条件的物理节点，作为逻辑节点；
    基于所述逻辑节点的类型信息和状态信息，按照所述第二预定规则，自动建立各个逻辑节点之间的拓扑关系。
  6. 根据权利要求1-5中任一项所述的建模分析方法，其中，所述物理层模型和所述逻辑层模型的构建是同步执行的。
  7. 根据权利要求1-6中任一项所述的建模分析方法，还包括：根据所述逻辑层模型中逻辑节点之间的拓扑关系，在所述电子地图上自动显示所述设备管理网络中的信号或流体的走向。
  8. 根据权利要求7所述的建模分析方法，其中，在所述电子地图上显示所述设备管理网络中的信号或流体的走向，包括：
    在电子地图上，利用带箭头的线路来显示所述设备管理网络中的信号或流体的走向。
  9. 根据权利要求7或8所述的建模分析方法，其中，所述设备管理网络是电网管理网络，所述设备管理网络中的信号或流体的走向是所述电网管理网络中的供电方向。
  10. 根据权利要求1-9中任一项所述的建模分析方法，还包括：响应于场景界面中的分析功能被触发，显示仿真分析结果。
  11. 根据权利要求10所述的建模分析方法，其中，响应于场景界面中的分析功能被触发，显示仿真分析结果，包括：
    响应于场景界面中的分析功能被触发，通过改变线路的颜色，显示仿真分析结果。
  12. 根据权利要求10或11所述的建模分析方法，其中，所述响应于场景界面中的分析功能被触发，显示仿真分析结果是由所述用户终端实时在线自动执行的。
  13. 根据权利要求1-12中任一项所述的建模分析方法，其中，所述用户终端采集物理节点的位置信息、类型信息和状态信息是通过移动互联网实时在线执行的。
  14. 一种根据权利要求1-13中任一项所述的建模分析方法，其中，所述设备管理网络是电网管理网络，所述方法包括：
    通过用户终端采集电网设备的位置信息、类型信息和状态信息，其中，所述采集包括通过所述用户输入、所述用户终端的定位功能或者通过所述用户终端拍照并自动识别所述电网设备的位置信息、类型信息和状态信息；
    基于所述电网设备的位置信息和类型信息，按照第一预定规则，自动构建物理层模型，以将所述电网设备自动连成线路，并以电子地图为背景，在相应位置上自动显示所述电网设备以及所述电网设备之间的线路；
    基于所述电网设备的类型信息和状态信息，按照第二预定规则，自动构建逻辑层模型，以便构建网络模型；
    响应于场景界面中的停电分析功能被触发，显示停电分析结果。
  15. 一种用于设备管理网络的建模分析方法，应用于仿真分析服务器，所述方法包括：
    接收物理节点的位置信息、类型信息和状态信息；
    基于所述物理节点的位置信息和类型信息，按照第一预定规则自动构建物理层模型，以将所述物理节点自动连成线路，所述物理层模型用于以电子地图为背景，在相应位置上自动显示所述物理节点以及所述物理节点之间的线路；
    基于所述物理节点的类型信息和状态信息，按照第二预定规则自动构建逻辑层模型，以便构建网络模型；
    响应于接收到请求数据，生成仿真分析结果。
  16. 根据权利要求15所述的建模分析方法，还包括：
    从用户终端接收所述物理节点的位置信息、类型信息和状态信息，以用于在所述仿真分析服务器端构建所述网络模型；
    将所述仿真分析结果发送至所述用户终端。
  17. 根据权利要求16所述的建模分析方法，其中，从用户终端接收所述物理节点的位置信息、类型信息和状态信息，包括：
    通过移动互联网从用户终端接收所述物理节点的位置信息、类型信息和状态信息；以及
    将所述仿真分析结果发送至所述用户终端，包括：
    通过所述移动互联网将所述仿真分析结果发送至所述用户终端。
  18. 一种根据权利要求15-17中任一项所述的建模分析方法的工作范围分析方法，包括：
    基于由所述物理节点和所述线路组成的网络模型，分析所述网络模型中与所述物理节点对应的工作线路；
    自动连接所述工作线路的各个末端节点，并且按照第三预定规则，在电子地图上形成与所述物理节点对应的闭合区域，所述闭合区域为所述物理节点对应的工作范围。
  19. 根据权利要求18所述的工作范围分析方法，还包括：
    向与所述物理节点对应的工作范围内的用户发送信息，所述信息至少包括图片和文字。
  20. 根据权利要求19所述的工作范围分析方法，其中，向与所述物理节点对应的工作范围内的用户发送信息，包括
    响应于所述物理节点发生故障，向与所述物理节点对应的工作范围内的用户发送信息，
    其中，所述信息包括故障线路名称、故障范围和预估故障处理时间。
  21. 一种网络模型更新方法，包括：
    将电子地图划分成多个区域；
    在网络更新过程中，从多个用户终端接收到对于同一区域的不同内容的节点信息时，分别为所述多个用户终端中的每一个生成对应的网络模型，形成多个网络模型；
    基于第二预定条件，从所述多个网络模型中选择一个网络模型，以图层的方式保存，作为对应当前时刻的提交图层；
    当所保存的提交图层的数量达到阈值，或者距第一提交图层预定时间后，基于第三预定条件，从多个提交图层中选择一个提交图层，作为时间图层，以用于网络模型的更新。
  22. 根据权利要求21所述的网络模型更新方法，其中，所述第二预定条件和所述第三预定条件包括以下中的至少一项：
    所述网络模型中包括物理节点的数量最多；
    所述网络模型中包括的地图区域面积最大；
    所述网络模型中包括的地图线路最长；
    所述网络模型中包括的物理节点的类型最多。
  23. 根据权利要求21或22所述的网络模型更新方法，其中，所述网络模型包括道路网络模型。
  24. 根据权利要求21-23中任一项所述的网络模型更新方法，还包括：从用户终端接收用户对所述网络模型的标注信息，以用于所述网络模型的更新。
  25. 一种用户终端，包括存储器和处理器，其中，
    所述存储器中存储指令，所述处理器执行所述指令时，使所述用户终端执行权利要求1-14中任一项所述的方法。
  26. 一种网络服务器，包括存储器和处理器，其中，
    所述存储器中存储指令，所述处理器执行所述指令时，使所述网络服务器执行权利要求15-24中任一项所述的方法。
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