Networking method and system of community power distribution equipment monitoring system and medium

Abstract

The invention discloses a networking method and system for a community power distribution equipment monitoring system, and a medium, and the method comprises the steps: building a community LoRa terminal through deploying the node positions of wireless sensors in a community power distribution room and on a key power distribution line; according to the node position of the LoRa terminal of the cell, in combination with a path loss model in the cell environment, obtaining the total path loss of LoRa transmission in the cell, and calculating the effective coverage radius of LoRa signal transmission of the cell; preliminarily determining the number and positions of LoRa relay nodes by taking the effective coverage radius as a basic parameter of a clustering algorithm; the optimal number and position of LoRa relay nodes on the premise that a Lora signal fully covers a cell are searched based on optimization of a particle swarm algorithm; and determining the position of the LoRa gateway node according to the optimal number and position of the LoRa relay nodes. According to the invention, the networking cost is greatly reduced while the coverage of the power distribution room to the dead zone in front of the meter and the whole-cell power distribution system is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the networking technology field of community power distribution system, and in particular to a networking method and system of a community power distribution equipment monitoring system and a medium. BACKGROUND

[0002] With the acceleration of urbanization process in China, the scale of residential communities as the core part of urban infrastructure gradually expands, and the complexity of community power distribution system also increases. The State Grid Corporation is gradually taking over the power supply and distribution facilities of residential communities. At present, there is a significant monitoring gap in the community power distribution system - the area from the power distribution room to the meter front has been in a monitoring blind area for a long time. This area is directly related to the core link of power distribution, and problems such as line aging and load fluctuation are prone to cause safety accidents such as discharge and fire, which seriously threaten the safety of residents' life and property, and has become a key risk point for community power safety, which needs to be fully included in the monitoring range.

[0003] However, the monitoring networking of the power distribution room to the meter front blind area and the entire community power distribution system still faces three major core problems: first, there are too many monitoring points, which need to cover power distribution rooms, strong electricity wells, line nodes and other types of scenes, and the point layout is complex; second, the networking is difficult, the buildings in the community block the signal transmission, and the differences in terrain (such as high and low floors, wall structures) easily hinder the signal transmission, and the traditional networking method is difficult to adapt to the complex environment; third, the overall cost is high, if using all-wire networking, the wiring needs to damage the building structure, the construction cost is high and the maintenance difficulty is large in the later period; if using traditional wireless networking, it is easy to have node redundancy or insufficient coverage due to not combining with the community terrain to optimize node layout, further increasing the economic cost.

[0004] Therefore, in view of the actual needs of community power distribution monitoring, especially to solve the monitoring blank of the area from the power distribution room to the meter front, it is crucial to develop a power distribution monitoring networking method that adapts to the complex environment of the community and has high cost performance.

[0005] Therefore, the present application is proposed. SUMMARY

[0006] The technical problem to be solved by the present application is that in the prior art, the arrangement of wireless monitoring relay nodes and gateway nodes in the monitoring network for the distribution room to the front blind area and the entire distribution system of a cell is unreasonable, causing waste of resources and inability to achieve efficient and real-time monitoring. The present application aims to provide a networking method and system for a cell distribution equipment monitoring system and a medium, which performs distribution monitoring networking based on wired and wireless hybrid technology. The method determines LoRa terminals by deploying wireless sensor nodes. According to LoRa air penetration path loss models and LoRa building penetration path loss models, the path loss of LoRa transmission in a cell is obtained. In combination with clustering algorithms and particle swarm optimization, the number and position of LoRa relay nodes are found under the premise of full coverage of Lora signals in a cell, and the position of LoRa gateway nodes is determined. The present application greatly reduces the networking cost while achieving coverage of the distribution room to the front blind area and the entire distribution system of a cell, and ultimately achieves comprehensive coverage, remote, real-time and efficient monitoring of the target cell distribution system at the optimal economic input.

[0007] The present application is implemented by the following technical solutions:

[0008] In a first aspect, the present application provides a networking method for a cell distribution equipment monitoring system, which comprises:

[0009] A cell LoRa terminal is established by deploying wireless sensor nodes at the node positions in the cell distribution room and key distribution lines.

[0010] According to the node positions of the cell LoRa terminal, the total path loss of LoRa transmission in a cell is obtained in combination with LoRa air penetration path loss models and LoRa building penetration path loss models. The effective coverage radius of cell LoRa signal transmission is calculated according to the total path loss.

[0011] The effective coverage radius is used as a basic parameter of the clustering algorithm to preliminarily determine the number and position of LoRa relay nodes. Based on particle swarm optimization, the optimal number and position of LoRa relay nodes under the premise of full coverage of Lora signals in a cell are found.

[0012] The position of LoRa gateway nodes is determined according to the optimal number and position of LoRa relay nodes.

[0013] Further, the cell LoRa terminal comprises a first LoRa terminal and a second LoRa terminal.

[0014] The first LoRa terminal is a data collection LoRa terminal, including a distribution room equipment data collection LoRa terminal, a strong electric well data collection LoRa terminal and a cell environment data collection LoRa terminal.

[0015] The second LoRa terminal is a LoRa terminal of a control device, including a LoRa terminal of a control nozzle, a LoRa terminal of a control air conditioner, a LoRa terminal of a control access control, and a LoRa terminal of a control camera.

[0016] Further, according to the node position of the cell LoRa terminal, the total path loss of the LoRa transmission in the cell is obtained by combining the LoRa air penetration path loss model and the LoRa building penetration path loss model, including:

[0017] According to the node position of the cell LoRa terminal, the first path loss is obtained based on the LoRa air penetration path loss model;

[0018] According to the node position of the cell LoRa terminal, the second path loss is obtained based on the LoRa building penetration path loss model;

[0019] According to the first path loss and the second path loss, the total path loss is obtained.

[0020] Further, the expression of the LoRa air penetration path loss model is: FSPL(d)=101lg(d)+20lg(f)-27.55, wherein FSPL(d) is the first path loss, d is the distance between the transmitter and the receiver, and f is the frequency;

[0021] The expression of the LoRa building penetration path loss model is: Wo=A0-A-10nlgd, wherein Wo is the path loss of the LoRa building o, that is, the second path loss; A0 is the signal strength correction value of the model; A is the path loss intensity at the distance d of the transceiver under the signal strength reference distance; n is the propagation environment factor; and d is the straight-line distance between the signal transmitting end and the receiving end.

[0022] Further, the expression of the effective coverage radius is: , wherein is the transmission power, is the frequency, is the distance, is the total path loss.

[0023] Further, the effective coverage radius is used as a basic parameter of the clustering algorithm to preliminarily determine the number and position of the LoRa relay nodes; and based on the pso algorithm optimization, the optimal number and position of the LoRa relay nodes under the premise of the full coverage of the Lora signal cell are found, including:

[0024] According to the positions of the wireless sensors of the cell power distribution monitoring, the three-dimensional coordinates of all cell LoRa terminals are obtained;

[0025] The clustering algorithm is used to arrange multiple LoRa relay nodes in the buildings in the cell, including the number of arranged LoRa relay nodes and three-dimensional coordinates; and according to the effective coverage radius, whether the arranged LoRa relay nodes completely cover all cell LoRa terminals in the cell is calculated;

[0026] If not completely covered, a new LoRa relay node is arranged by using the particle swarm algorithm;

[0027] If completely covered, one relay node is reduced; if still completely covered after reducing one relay node, the node is continuously reduced until not completely covered, and then the three-dimensional coordinates, i.e. the positions, of all LoRa relay nodes are output.

[0028] Further, according to the optimal number and position of LoRa relay nodes, the position of a LoRa gateway node is determined, including:

[0029] According to the three-dimensional coordinates of the arranged LoRa relay nodes, the position of the LoRa gateway node is determined in combination with the total loss radius of LoRa signal transmission; the position of the LoRa gateway node is the LoRa relay node after full coverage optimization.

[0030] In a second aspect, the application further provides a networking system of a cell power distribution equipment monitoring system, and the system comprises:

[0031] A LoRa terminal establishment unit is configured to establish cell LoRa terminals by deploying node positions of wireless sensors in a cell power distribution room and on key power distribution lines;

[0032] An effective coverage radius calculation unit is configured to obtain the total path loss of LoRa transmission in the cell in combination with a LoRa air path loss model and a LoRa building path loss model according to the node positions of the cell LoRa terminals; and calculate the effective coverage radius of the LoRa signal transmission in the cell according to the total path loss;

[0033] A LoRa relay node determination unit is configured to preliminarily determine the number and position of LoRa relay nodes by taking the effective coverage radius as a basic parameter of the clustering algorithm; and find the optimal number and position of LoRa relay nodes under the premise of full coverage of the Lora signal in the cell based on the particle swarm optimization algorithm;

[0034] A LoRa gateway node determination unit is configured to determine the position of a LoRa gateway node according to the optimal number and position of LoRa relay nodes.

[0035] Further, the execution process of the LoRa relay node determination unit is as follows:

[0036] According to the positions of the wireless sensors for monitoring the cell power distribution, the three-dimensional coordinates of all cell LoRa terminals are obtained;

[0037] The clustering algorithm is used to arrange a plurality of LoRa relay nodes in the cell building, including the number of arranged LoRa relay nodes and three-dimensional coordinates;And according to the effective coverage radius, whether the arranged LoRa relay node completely covers all cell LoRa terminals in the cell is calculated;

[0038] If not completely covered, a new LoRa relay node is arranged by using the particle swarm algorithm;

[0039] If completely covered, one relay node is reduced;If it is still completely covered after reducing one relay node, the node is continuously reduced until it is not completely covered, and then the three-dimensional coordinates of all LoRa relay nodes, i.e., the positions, are output.

[0040] In a third aspect, the application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the networking method of the cell power distribution equipment monitoring system.

[0041] Compared with the prior art, the application has the following advantages and beneficial effects:

[0042] 1、The networking method, system and medium of the cell power distribution equipment monitoring system are based on wired and wireless hybrid technology for power distribution monitoring networking, the method determines the LoRa terminal by deploying a wireless sensor node;According to the LoRa air path loss model and the LoRa building path loss model, the path loss of LoRa transmission in the cell is obtained;The number and position of LoRa relay nodes are found under the premise of full coverage of Lora signal in the cell by combining the clustering algorithm and the particle swarm optimization algorithm, and the position of the LoRa gateway node is determined.The application greatly reduces the networking cost while realizing the coverage of the power distribution room to the blind area in front of the meter and the whole cell power distribution system, and finally achieves the comprehensive coverage of the target cell power distribution system under the optimal economic investment, and remote, real-time and efficient monitoring.

[0043] 2、The application realizes accurate full coverage: by deploying environmental monitoring (temperature and humidity, smoke concentration) and power equipment monitoring (partial discharge, current and voltage) wireless sensor nodes in the power distribution room to the blind area in front of the meter, strong electric well and key power distribution line, and combining with the LoRa relay network construction, the cell power distribution system "no dead angle" monitoring is realized for the first time, and the problem of long-term blank area of traditional monitoring covering only the power distribution room and the area in front of the meter is solved, and the risk of discharge, fire and other safety accidents is avoided from the source, and the coverage integrity and monitoring accuracy are far superior to the prior art.

[0044] 3. The application improves economic benefits: compared with the traditional full-wire monitoring and the traditional full-wireless monitoring scheme, the application adopts a hybrid monitoring technology combining wired and wireless, determines the effective coverage radius of the signal by constructing a LoRa air and building path loss model, preliminarily locates the relay nodes by combining the clustering algorithm, and optimizes the relay node and gateway node arrangement scheme in the wireless networking of the cell by using the particle swarm algorithm, thereby effectively reducing the overall economic cost of the cell power distribution monitoring wireless networking. BRIEF DESCRIPTION OF DRAWINGS

[0045] The drawings described herein are used to provide further understanding of the embodiments of the application, form a part of the application, and do not constitute a limitation of the embodiments of the application. In the drawings:

[0046] Figure 1 A schematic diagram of a wireless networking terminal node of the application;

[0047] Figure 2 A flowchart of a networking method of a cell power distribution equipment monitoring system of the application;

[0048] Figure 3 A detailed flowchart of a networking method of a cell power distribution equipment monitoring system of the application;

[0049] Figure 4 A monitoring point distribution diagram of a certain cell of the application;

[0050] Figure 5 A relay node arrangement point diagram of a certain residential cell of the application;

[0051] Figure 6 A relay node arrangement point diagram of a certain cell of the application;

[0052] Figure 7 A gateway node position confirmation schematic diagram of the application;

[0053] Figure 8 A networking system structure block diagram of a cell power distribution equipment monitoring system of the application. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical scheme and advantages of the application more clear and obvious, the application is further described in detail below in combination with embodiments and drawings, and the illustrative embodiments of the application and their descriptions are only used to explain the application, and do not constitute a limitation of the application.

[0055] In view of the actual demand of the cell power distribution monitoring, especially solving the monitoring blank of the power distribution room to the meter front blind area, it is essential to develop a power distribution monitoring networking method suitable for the complex environment of the cell and with high cost performance. Therefore, the application proposes a scheme based on wired and wireless hybrid technology, which optimizes the networking mode in combination with the terrain characteristics of the cell (such as building distribution, floor height, wall structure), realizes the coverage of the power distribution room to the meter front blind area and the whole cell power distribution system, greatly reduces the networking cost, and finally achieves remote, real-time and efficient monitoring under the optimal economic investment.

[0056] The innovative design point of the technical scheme of the application is: first, by deploying wireless sensor nodes in the cell power distribution room and key power distribution lines (such as strong power well cable), including environmental monitoring nodes (such as temperature and humidity, smoke concentration sensors), power equipment monitoring nodes (such as partial discharge, temperature, current and voltage sensors) and the like, a wireless networking terminal node is formed, as shown in Figure 1 Second, according to the position of the terminal node, the path loss of LoRa transmission in the cell is obtained in combination with the LoRa air path loss model and the LoRa building path loss model; and the effective coverage radius of the LoRa signal transmission in the cell is calculated through the path loss; then, taking the effective coverage radius as the basic parameter provided by the clustering algorithm, the number and position of the relay nodes are preliminarily determined; then, through the pso algorithm optimization, the optimal number and position of the relay nodes are found under the premise of LoRa signal full coverage of the cell; finally, the position of the LoRa gateway node is determined according to the number and position of the relay nodes.

[0057] Embodiment 1

[0058] As shown in Figure 2 and Figure 3 , the networking method of the cell power distribution equipment monitoring system of the application, the method comprises:

[0059] Step 1, by deploying the node position of the wireless sensor in the cell power distribution room and the key power distribution line (such as strong power well cable), the cell LoRa terminal is established;

[0060] In this embodiment, as shown in Figure 3 , the cell LoRa terminal includes a first LoRa terminal and a second LoRa terminal;

[0061] The first LoRa terminal is a LoRa terminal for collecting data, including a LoRa terminal for collecting power distribution room equipment data, a LoRa terminal for collecting strong power well data and a LoRa terminal for collecting cell environment data;

[0062] The second LoRa terminal is a LoRa terminal of a control device, including a LoRa terminal of a control nozzle, a LoRa terminal of a control air conditioner, a LoRa terminal of a control access control, and a LoRa terminal of a control camera.

[0063] Specifically, the LoRa terminal collecting the power distribution room device data is used to monitor smoke, temperature, humidity, video, etc.; the LoRa terminal collecting the strong electricity well data is used to monitor voltage, current, energy consumption, switch state, etc.; and the LoRa terminal collecting the community environment data is used to monitor smoke, voltage, current, and temperature, etc.

[0064] The above technical scheme arranges sensors at positions of a community power distribution room and a strong electricity well house, and determines the network terminal position of the community LoRa networking according to the sensor positions.

[0065] Step 2, according to the node position of the community LoRa terminal, combining the LoRa air penetration path loss model and the LoRa building penetration path loss model, the total path loss of the LoRa transmission in the community is obtained; and according to the total path loss, the effective coverage radius of the community LoRa signal transmission is calculated.

[0066] In this embodiment, according to the node position of the community LoRa terminal, combining the LoRa air penetration path loss model and the LoRa building penetration path loss model, the total path loss of the LoRa transmission in the community is obtained, including:

[0067] According to the node position of the community LoRa terminal, the first path loss is obtained based on the LoRa air penetration path loss model;

[0068] According to the node position of the community LoRa terminal, the second path loss is obtained based on the LoRa building penetration path loss model;

[0069] According to the first path loss and the second path loss, the total path loss is obtained.

[0070] Specifically, the air penetration path loss model is approximately regarded as the path loss in an ideal free space scenario without obstacles and affected by multipath effects, and the expression of the LoRa air penetration path loss model is:

[0071] FSPL(d) = 101lg(d) + 20lg(f) - 27.55

[0072] In the formula, FSPL(d) is the first path loss, d is the distance between the transmitter and the receiver, and the unit is m; f is the frequency, and the unit is MHz;

[0073] The expression of the LoRa building penetration path loss model is:

[0074] Wo = A0 - A - 10nlgd

[0075] In the formula, Wo is the path loss of LoRa passing through the building o, that is, the second path loss; A0 is a signal strength correction value of the model; A is the path loss intensity at a distance of d from the signal strength reference distance; n is a propagation environment factor; and d is the straight-line distance between the signal transmitting end and the receiving end.

[0076] In the embodiment, the expression of the effective coverage radius is:

[0077]

[0078] In the formula, is the transmitting power, is the frequency, is the distance, is the total path loss.

[0079] Step 3: Taking the effective coverage radius as a basic parameter of the clustering algorithm, the number and position of LoRa relay nodes are preliminarily determined; and based on the particle swarm optimization algorithm, the optimal number and position of LoRa relay nodes under the premise of full coverage of the Lora signal cell are found.

[0080] In the embodiment, step 3 specifically includes:

[0081] According to the distribution of wireless sensors in the cell power distribution monitoring, the three-dimensional coordinates of all cell LoRa terminals are obtained.

[0082] The clustering algorithm is used to arrange multiple LoRa relay nodes in the cell building, including the number and three-dimensional coordinates of the arranged LoRa relay nodes; and according to the effective coverage radius, it is calculated whether the arranged LoRa relay nodes completely cover all cell LoRa terminals in the cell.

[0083] If not completely covered, the particle swarm (pso) algorithm is used to arrange new LoRa relay nodes.

[0084] If completely covered, one relay node is reduced; if the complete coverage is still achieved after reducing one relay node, the node is continuously reduced until the complete coverage is not achieved, and then the three-dimensional coordinates, that is, the position of all LoRa relay nodes are output.

[0085] Step 4: According to the optimal number and position of LoRa relay nodes, the position of the LoRa gateway node is determined.

[0086] In the embodiment, step 4 specifically includes:

[0087] According to the three-dimensional coordinates of the LoRa relay node, in combination with the total loss radius of the LoRa signal transmission, the LoRa gateway node position is determined; the LoRa gateway node position is the LoRa relay node after full coverage optimization.

[0088] Taking a certain community as an example, the specific implementation steps are as follows:

[0089] Comprehensively investigate the community power distribution system, obtain the community terrain, determine the monitoring demand and the monitoring point position, and the monitoring point position includes the community power distribution room and the key power distribution line (such as the strong power well cable). The wireless networking terminal position is determined in this way, as shown in the figure. Figure 4 Figure 4 It is a community monitoring point distribution diagram. The scattered points represent each network terminal.

[0090] According to the monitoring point position, the wireless sensor node is deployed, the k-means clustering algorithm is used, the initial relay node is randomly distributed in the building, and the arranged network relay node is as shown in the figure. Figure 5

[0091] According to the coverage radius of the LoRa network signal transmission in the community, whether the arranged relay node completely covers all the LoRa terminals in the community is calculated. If not completely covered, a new LoRa relay node is arranged by using the particle swarm (pso) algorithm, as shown in the figure. The newly arranged relay node can completely cover the community within the effective signal transmission radius. Figure 6

[0092] In combination with the relay node position, the LoRa network signal coverage radius in the community, a reasonable gateway node is set to ensure that all relay nodes are covered, as shown in the figure. Figure 7

[0093] It should be noted that the wireless LoRa of the present application can be replaced by low-power wide-area network technology, which is also within the protection scope of the present application.

[0094] Design points and advantages of the present application:

[0095] 1. Precise deployment of multiple types of terminals: environmental monitoring (temperature and humidity, smoke), power equipment monitoring (partial discharge, current and voltage) terminals, etc. are deployed in the power distribution room, strong power well, and table front blind area to build a three-layer monitoring link foundation.

[0096] 2. Scene LoRa loss model: combine the air path loss (formula: FSPL(d)=101lg(d)+20lg(f)-27.55) and the building path loss (formula: Wo=A0-A-10nlgd) model to calculate the actual signal coverage radius of the community.

[0097] ​​​​3. Double-algorithm node optimization: first, use clustering algorithm to initially determine relay nodes with coverage radius as a parameter; then, through particle swarm optimization, combined with the "coverage verification-node reduction" cycle, realize the balance between full coverage and low cost.

[0098] The application is suitable for (1) similar power scenarios: industrial park (adapt to factory building shielding environment), rural area (adjust environment factors to adapt to scattered households and terrain) power distribution monitoring; (2) non-power scenarios: intelligent building security (replace fire smoke terminal), intelligent agriculture (replace soil humidity terminal), city underground pipe network (expand underground space loss model) monitoring.

[0099] Embodiment 2

[0100] As shown in Figure 8 , the difference between the present embodiment and embodiment 1 is that the present embodiment provides a networking system of a community power distribution equipment monitoring system, which corresponds to the networking method of a community power distribution equipment monitoring system in embodiment 1; the system comprises:

[0101] a LoRa terminal establishing unit for establishing a community LoRa terminal by deploying wireless sensor node positions in a community power distribution room and key power distribution lines;

[0102] an effective coverage radius calculating unit for obtaining total path loss of LoRa transmission in the community according to the node positions of the community LoRa terminal, combining a LoRa air path loss model and a LoRa building path loss model; and calculating the effective coverage radius of LoRa signal transmission in the community according to the total path loss;

[0103] a LoRa relay node determining unit for taking the effective coverage radius as a basic parameter of a clustering algorithm to initially determine the number and position of LoRa relay nodes; and finding the optimal number and position of LoRa relay nodes under the premise of full coverage of Lora signal in the community based on particle swarm optimization;

[0104] a LoRa gateway node determining unit for determining the position of the LoRa gateway node according to the optimal number and position of the LoRa relay nodes.

[0105] As a further implementation, the execution process of the LoRa relay node determining unit is as follows:

[0106] According to the positions of the wireless sensors in the community power distribution monitoring, the three-dimensional coordinates of all community LoRa terminals are obtained;

[0107] The clustering algorithm is used to arrange multiple LoRa relay nodes in the buildings of the cell, including the number of arranged LoRa relay nodes and three-dimensional coordinates; and according to the effective coverage radius, whether the arranged LoRa relay nodes completely cover all cell LoRa terminals in the cell is calculated;

[0108] If not completely covered, a new LoRa relay node is arranged by using a particle swarm algorithm;

[0109] If completely covered, one relay node is reduced; if still completely covered after reducing one relay node, the node is continuously reduced until not completely covered, and then the three-dimensional coordinates of all LoRa relay nodes, i.e., the positions, are output.

[0110] The execution process of each unit is performed according to the network deployment method flow steps of the cell power distribution equipment monitoring system in Embodiment 1, and details are not repeated in this embodiment.

[0111] The application realizes a full-range monitoring system: protecting the hardware link of “multiple types of terminals + LoRa relay + gateway”, and clearly defining the positions and functions of nodes; a node optimization calculation system: integrating software modules of “loss calculation, clustering, particle swarm, and coverage verification” and input and output logic.

[0112] Meanwhile, the application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the network deployment method of the cell power distribution equipment monitoring system.

[0113] Those skilled in the art should understand that the embodiments of the application can be provided as a method, a system, or a computer program product. Therefore, the application can adopt a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can adopt a computer program product in the form of being implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0114] The application is described with reference to flowcharts and / or block diagrams according to the methods, devices (systems), and computer program products of the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device for implementing the functions described in the flowcharts and / or block diagrams. Figure 1 one flow or multiple flows and / or blocks Figure 1apparatuses that carry out functions specified in one or more blocks or multiple blocks.

[0115] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the flow Figure 1 one or more flows and / or blocks Figure 1 one or more blocks or multiple blocks.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that are executed on the computer or other programmable apparatus provide steps for implementing the flow Figure 1 one or more flows and / or blocks Figure 1 one or more blocks or multiple blocks.

[0117] The above detailed description has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the application to the precise form disclosed. Many modifications and variations are possible in the light of the above teachings. It is intended that the scope of the application be limited not with this detailed description, but rather by the claims appended hereto.

Claims

1. A networking method for a community power distribution equipment monitoring system, characterized in that, The method includes: By deploying wireless sensor nodes in the community's power distribution room and on key power distribution lines, a community LoRa terminal is established; Based on the node location of the LoRa terminal in the cell, and combining the LoRa path loss model through air and the LoRa path loss model through buildings, the total path loss of LoRa transmission within the cell is obtained; and based on the total path loss, the effective coverage radius of the LoRa signal transmission in the cell is calculated. Using the effective coverage radius as the basic parameter of the clustering algorithm, the number and location of LoRa relay nodes are initially determined; and based on the particle swarm optimization algorithm, the optimal number and location of LoRa relay nodes are found under the premise of full LoRa signal coverage. The location of the LoRa gateway node is determined based on the optimal number and location of the LoRa relay nodes.

2. The networking method for a community power distribution equipment monitoring system according to claim 1, characterized in that, The LoRa terminal in the cell includes a first LoRa terminal and a second LoRa terminal; The first LoRa terminal is a LoRa terminal for data collection, including a LoRa terminal for collecting data from power distribution room equipment, a LoRa terminal for collecting data from power wells, and a LoRa terminal for collecting data from the community environment; The second LoRa terminal is a LoRa terminal for control devices, including a LoRa terminal for controlling the nozzles, a LoRa terminal for controlling the air conditioner, a LoRa terminal for controlling the access control system, and a LoRa terminal for controlling the camera.

3. The networking method for a community power distribution equipment monitoring system according to claim 1, characterized in that, Based on the node location of the LoRa terminal in the cell, and combining the LoRa path loss model across air and the LoRa path loss model across buildings, the total path loss of LoRa transmission within the cell is obtained, including: Based on the node location of the LoRa terminal in the cell, the first path loss is obtained according to the LoRa air path loss model; Based on the node location of the LoRa terminal in the cell, the second path loss is obtained according to the LoRa path loss model across buildings; The total path loss is obtained based on the first path loss and the second path loss.

4. The networking method for a community power distribution equipment monitoring system according to claim 3, characterized in that, The expression for the LoRa air path loss model is: FSPL(d) = 101lg(d) + 20lg(f) - 27.55, where FSPL(d) is the first path loss, d is the distance between the transmitter and the receiver, and f is the frequency; The expression for the LoRa path loss model through buildings is: Wo = A0 - A - 10nlgd, where Wo is the path loss of LoRa through building o, i.e., the second path loss; A0 is the signal strength correction value of the model; A is the path loss intensity at a distance d between the transmitter and receiver under the signal strength reference distance; n is the propagation environment factor; and d is the straight-line distance between the signal transmitter and receiver.

5. The networking method for a community power distribution equipment monitoring system according to claim 1, characterized in that, The expression for the effective coverage radius is: In the formula, For transmission power, For frequency, For distance, This represents the total path loss.

6. The networking method for a community power distribution equipment monitoring system according to claim 1, characterized in that, Using the effective coverage radius as the basic parameter of the clustering algorithm, the number and location of LoRa relay nodes are initially determined; and based on the PSO algorithm, the optimal number and location of LoRa relay nodes are found under the premise of full LoRa signal coverage, including: Based on the location of each wireless sensor in the community power distribution monitoring, obtain the three-dimensional coordinates of all LoRa terminals in the community; A clustering algorithm is used to deploy multiple LoRa relay nodes within the building of the cell, including the number of LoRa relay nodes deployed and their three-dimensional coordinates; and based on the effective coverage radius, it is calculated whether the deployed LoRa relay nodes completely cover all LoRa terminals in the cell. If the coverage is not complete, the particle swarm optimization algorithm will be used to deploy new LoRa relay nodes; If complete coverage is achieved, one relay node is removed. If complete coverage is still achieved after removing one relay node, the number of nodes is removed until complete coverage is not achieved. Then, the three-dimensional coordinates (locations) of all LoRa relay nodes are output.

7. The networking method for a community power distribution equipment monitoring system according to claim 6, characterized in that, Based on the optimal number and location of the LoRa relay nodes, the location of the LoRa gateway node is determined, including: The location of the LoRa gateway node is determined based on the three-dimensional coordinates of the LoRa relay nodes and the total loss radius of LoRa signal transmission; the location of the LoRa gateway node is the LoRa relay node after full coverage optimization.

8. A networking system for a community power distribution equipment monitoring system, characterized in that, The system includes: The LoRa terminal establishment unit is used to establish a LoRa terminal in the community by deploying wireless sensors at node locations in the community's power distribution room and on key power distribution lines. The effective coverage radius calculation unit is used to obtain the total path loss of LoRa transmission within the cell based on the node location of the LoRa terminal in the cell, combined with the LoRa path loss model through air and the LoRa path loss model through buildings; and to calculate the effective coverage radius of the cell's LoRa signal transmission based on the total path loss. The LoRa relay node determination unit is used to initially determine the number and location of LoRa relay nodes using the effective coverage radius as the basic parameter of the clustering algorithm; and to find the optimal number and location of LoRa relay nodes under the premise of full LoRa signal coverage based on the particle swarm optimization algorithm. The LoRa gateway node determination unit is used to determine the location of the LoRa gateway node based on the optimal number and location of the LoRa relay nodes.

9. The networking system of a community power distribution equipment monitoring system according to claim 8, characterized in that, The execution process of the LoRa relay node determination unit is as follows: Based on the location of each wireless sensor in the community power distribution monitoring, obtain the three-dimensional coordinates of all LoRa terminals in the community; A clustering algorithm is used to deploy multiple LoRa relay nodes within the building of the cell, including the number of LoRa relay nodes deployed and their three-dimensional coordinates; and based on the effective coverage radius, it is calculated whether the deployed LoRa relay nodes completely cover all LoRa terminals in the cell. If the coverage is not complete, the particle swarm optimization algorithm will be used to deploy new LoRa relay nodes; If complete coverage is achieved, one relay node is removed. If complete coverage is still achieved after removing one relay node, the number of nodes is removed until complete coverage is not achieved. Then, the three-dimensional coordinates (locations) of all LoRa relay nodes are output.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements a networking method for a community power distribution equipment monitoring system as described in any one of claims 1 to 7.

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