WO2023164895A1

WO2023164895A1 - Line loss detection load balancing method and apparatus used for gateway and gateway device

Info

Publication number: WO2023164895A1
Application number: PCT/CN2022/079088
Authority: WO
Inventors: 王莉; 张少凡; 吴任博; 危国恩; 王历晔; 李东旭
Original assignee: 广东电网有限责任公司广州供电局
Priority date: 2022-03-03
Filing date: 2022-03-03
Publication date: 2023-09-07

Abstract

A line loss detection load balancing method and apparatus used for a gateway, a gateway device (102), and a storage medium. The method comprises: acquiring electrical quantity data of a target distribution transformer supply zone, and, on the basis of the electrical quantity data, determining a target line having line loss among power distribution lines contained in the target distribution transformer supply zone; determining a first target container node among a plurality of first container nodes of a gateway device (102), and, by means of the first target container node, determining a target interval among a plurality of line intervals of the target line; determining a second target container node among a plurality of second container nodes of the gateway device, and by means of the second target container node, determining a data acquisition device (101) matching the target interval; and by means of the second target container node, analyzing data acquired by the data acquisition device (101), and, according to the data analysis result, verifying the line loss phenomenon in the target interval. By utilizing the method, the load balance of the gateway device (102) can be realized, and the computing resource utilization rate of a line loss detection and analysis process is improved.

Description

Line loss detection load balancing method, device and gateway equipment applied to gateway

technical field

The present application relates to the technical field of power analysis, in particular to a line loss detection load balancing method, device, gateway device, storage medium and computer program product applied to gateways.

Background technique

With the development of power analysis technology, a technology for analyzing line loss has emerged. Line loss refers to the power loss and power loss generated by each component in the power network during the transmission and distribution (transformation) of electric energy. Other losses include all losses of electric energy from the primary side of the main transformer of the power plant (excluding plant power) to the user's electric energy meter. At the same time, there are many sources of line loss. Among them, the user's old equipment and leakage behavior are also important factors causing power loss. Therefore, there is an urgent need for a method to monitor equipment aging and leakage behavior to reduce line loss. occurrence of the phenomenon.

In traditional technology, the monitoring of line loss due to old equipment, electricity leakage, etc. is usually realized through the background server. When the background server detects the line loss phenomenon, it can analyze the collected data to find the line loss. The location of the loss, and then determine the type and location of the line loss through data collection and analysis. However, this method of line loss analysis needs to consume the computing resources of the background server, which may increase the load of the server. Therefore, the utilization rate of computing resources of the current line loss detection and analysis method is low.

Contents of the invention

Based on this, it is necessary to address the above technical problems and provide a line loss detection load balancing method, device, gateway device, computer readable storage medium and computer program product applied to gateways that can improve the utilization rate of computing resources for line loss detection analysis .

In the first aspect, the present application provides a line loss detection load balancing method applied to a gateway, which is applied to a gateway device, and the method includes:

Obtaining the electrical quantity data of the target distribution station area, and determining the target line with line loss from the distribution lines included in the target distribution station area according to the electrical quantity data;

Determining a first target container node from a plurality of first container nodes included in the gateway device, and determining a target section among a plurality of line sections included in the target line through the first target container node;

Determining a second target container node from a plurality of second container nodes included in the gateway device, and determining a data acquisition device matching the target interval through the second target container node;

Through the second target container node, the data collected by the data collection device is analyzed, and the line loss phenomenon in the target interval is verified according to the data analysis result.

In one of the embodiments, the determining the first target container node from the plurality of first container nodes included in the gateway device includes: obtaining the number of active connections of each first container node; Among the first container nodes, the first container node with the smallest number of active connections is used as the first target container node.

In one of the embodiments, the method further includes: when there are multiple first container nodes with the smallest number of active connections, obtaining preset settings for each first container node with the smallest number of active connections the node priority weight; among the first container nodes with the smallest number of active connections, the first container node with the largest node priority weight is used as the first target container node.

In one of the embodiments, the target line includes a plurality of power users; the determining the target interval among the multiple line intervals included in the target line through the first target container node includes: through the The first target container node acquires real-time line loss data and historical line loss data of the target line, and acquires a change trend of line loss data of the target line according to the real-time line loss data and the historical line loss data; According to the power consumption change trend of each power user in the target line, according to the power consumption change trend and the line loss data change trend, from the multiple power users, determine the target user with potential stealing behavior; The line section where the target user is located is used as the target section.

In one of the embodiments, according to the power consumption change trend and the line loss data change trend, determining the target user with potential electricity stealing behavior from the plurality of power users includes: comparing the The change trend of line loss data and the change trend of power consumption of each power user, and obtain the similarity between the change trend of power consumption of each power user and the change trend of line loss data; if the similarity is greater than the preset The similarity threshold value of , then the power user is used as the target user.

In one of the embodiments, the data collection device includes an image data collection device; determining the data collection device that matches the target interval through the second target container node includes: based on a pre-built device number Corresponding relationship with the line interval, obtaining the target device number matching the target interval, using the image data acquisition device corresponding to the target device number as the image data acquisition device matching the target interval; A node that analyzes the data collected by the data acquisition device, and verifies the line loss phenomenon of the target interval according to the data analysis result, including: using the second target container node, the image data matched by the target interval The image data collected by the acquisition device is analyzed, and the verification result of the electric leakage behavior is obtained according to the image analysis result, and the verification result of the electric leakage behavior is used as the verification result of the line loss phenomenon in the target interval.

In one of the embodiments, the determining the target line with line loss from the distribution lines included in the target distribution station area according to the electrical quantity data includes: obtaining each power distribution line according to the electrical quantity data The power supply data and power consumption data of the line, and the power difference between the power supply data and the power consumption data; the ratio of the power difference to the power supply data is used as the real-time data of each power distribution line Line loss data: the distribution line whose real-time line loss data is greater than a preset line loss threshold is used as the target line.

In the second aspect, the present application also provides a line loss detection load balancing device applied to a gateway, which is applied to a gateway device, and the device includes:

A target line determination module, configured to obtain electrical quantity data of the target distribution area, and determine a target line with line loss from among the distribution lines included in the target distribution area according to the electrical quantity data;

A target section determination module, configured to determine a first target container node from among a plurality of first container nodes included in the gateway device, and determine a plurality of line sections included in the target line through the first target container node The target interval in ;

A collection device determination module, configured to determine a second target container node from a plurality of second container nodes included in the gateway device, and determine a data collection device that matches the target interval through the second target container node ;

The line loss phenomenon verification module is configured to analyze the data collected by the data acquisition device through the second target container node, and verify the line loss phenomenon in the target interval according to the data analysis result.

In a third aspect, the present application also provides a gateway device. The gateway device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the line loss detection load applied to the gateway as described in any embodiment of the first aspect is implemented. balanced approach.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer-readable storage medium has a computer program stored thereon, and when the computer program is executed by a processor, implements the line loss detection load balancing method applied to a gateway as described in any one embodiment of the first aspect.

In a fifth aspect, the present application also provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, implements the line loss detection load balancing method applied to a gateway according to any one embodiment of the first aspect.

The above-mentioned line loss detection load balancing method, device, gateway device, storage medium, and computer program product applied to the gateway obtain the electrical quantity data of the target distribution station area through the gateway device, and obtain the data contained in the target distribution station area according to the electrical quantity data. Determine the target line with line loss in the power distribution line; determine the first target container node from the multiple first container nodes contained in the gateway device, and determine the multiple line intervals contained in the target line through the first target container node The target interval; from the multiple second container nodes contained in the gateway device, determine the second target container node, and determine the data acquisition device that matches the target interval through the second target container node; through the second target container node, the The data collected by the data acquisition equipment is analyzed, and the line loss phenomenon in the target interval is verified according to the data analysis results. In the process of analyzing the line loss phenomenon in this application, the first target container node and the second target container node can be determined from the multiple first container nodes and second container nodes of the gateway device, and the first target container node can be used to Nodes are used to determine the target interval, and the second target container node is used to verify the line loss, so that the load balance of the gateway device is realized through the container node, and the utilization rate of computing resources in the line loss detection and analysis process is improved.

Description of drawings

Fig. 1 is an application environment diagram of a line loss detection load balancing method applied to a gateway in an embodiment;

FIG. 2 is a schematic flow diagram of a line loss detection load balancing method applied to a gateway in an embodiment;

Fig. 3 is a schematic flow diagram of determining the first target container node in an embodiment;

Fig. 4 is a schematic flow diagram of determining the first target container node in another embodiment;

Fig. 5 is a schematic flow chart of determining a target section among multiple line sections in an embodiment;

Fig. 6 is a schematic flow chart of determining a target line with line loss in an embodiment;

FIG. 7 is a structural block diagram of a line loss detection load balancing device applied to a gateway in an embodiment;

Fig. 8 is an internal structure diagram of a gateway device in an embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

The load balancing method for line loss detection applied to a gateway provided in the embodiment of the present application may be applied in the application environment shown in FIG. 1 . Wherein, the data collection device 101 communicates with the gateway device 102 through a network. Specifically, the gateway device 102 can obtain the electrical quantity data of a certain distribution station area, so that the target line with line loss phenomenon can be found out from the distribution station area, and then the first container of the gateway device 102 can Among the nodes, find out the first target container node, and analyze the target line through the first target container node, so as to determine the line interval causing the line loss phenomenon, and then further pass the second container node of the gateway device 102 The second target container node determines the data collection device 101 used to collect the line section causing the line loss phenomenon, and analyzes and verifies the data collected by the data collection device 101, so as to obtain the final analysis and verification result. Among them, the gateway device 102 may be an intelligent gateway with edge computing capability, and the data collection device 101 may be various devices for collecting distribution line data, such as electric energy meters or cameras installed on the distribution line.

In one embodiment, as shown in FIG. 2 , a load balancing method for line loss detection applied to a gateway is provided. Taking the method applied to the gateway device 102 in FIG. 1 as an example, the method includes the following steps:

In step S201, the gateway device 102 obtains the electrical quantity data of the target distribution area, and determines the target line with line loss from the distribution lines included in the target distribution area according to the electrical quantity data.

Among them, the gateway device 102 refers to a gateway device carrying an edge computing module, which has edge computing capabilities, and can perform data transmission and data analysis and processing, and the electrical quantity data refers to the power data related to the power distribution line, which can be It is collected by the electrical information collection equipment installed in the distribution line. The distribution station area refers to a certain power supply area, and the target distribution station area refers to any one of the multiple distribution station areas. The distribution station area can contain multiple distribution lines, and the target line refers to the Distribution lines where line loss phenomena may exist in multiple distribution lines. Specifically, the gateway device 102 can obtain the electrical quantity data of the target distribution station area through the electrical information collection equipment installed on the distribution lines contained in the target distribution station area, and based on the above electrical quantity data, obtain the data from the target distribution station area. Among the multiple distribution lines included in the station area, the distribution line with line loss phenomenon is determined as the target line.

For example, for the target distribution station area A, which includes distribution line A, distribution line B, and distribution line C, the gateway device 102 can select from the above-mentioned distribution line , determine the distribution line that may have a line loss, for example, it may be determined that the line loss phenomenon exists in the distribution line B, then the gateway device 102 may use the distribution line B as the target line.

In step S202, the gateway device 102 determines a first target container node from the multiple first container nodes included in the gateway device 102, and determines a target section among the multiple line sections included in the target line through the first target container node.

The first container node refers to the container node used to analyze the target interval. In this embodiment, the gateway device 102 may contain multiple container nodes in advance, and each container node may be used to implement different functions. The first container A node refers to a container node included in the gateway device 102 that can be used to implement target interval detection. The number of the first container node may also be multiple, and the first target container node is the first container node finally used for target interval analysis on the target line. Specifically, the gateway device 102 may determine a plurality of first container nodes for realizing target interval analysis from the container nodes contained therein, and further screen out a first target container from the plurality of first container nodes node, so that the multiple line intervals included in the target line can be analyzed through the first target container node, so as to determine the line interval that may cause the line loss phenomenon as the target interval.

For example, the gateway device 102 may include a container node 1, a container node 2, a container node 3, a container node 4, and a container node 5, wherein the container node 1 and the container node 2 can be used to determine the target interval, so the container node 1 and container node 2 can be used as the first container node. Afterwards, the gateway device 102 can further filter out the first target container node from the first container node, and can use container node 1 as the first target container node, then it can use container node 1 to pair multiple The line section is analyzed, and then the line section with line loss phenomenon is determined as the target section.

Step S203, the gateway device 102 determines a second target container node from the plurality of second container nodes included in the gateway device 102, and determines the data collection device 101 that matches the target interval through the second target container node;

In step S204, the gateway device 102 analyzes the data collected by the data collection device through the second target container node, and verifies the line loss phenomenon in the target interval according to the data analysis result.

The second container node is a container node included in the gateway device 102, which can be used for line loss phenomenon analysis and verification. Similar to the first container node, the number of second container nodes can also be multiple. The second target The container node refers to the container node in the second container node that is finally used for analyzing and verifying the line loss phenomenon. Specifically, the gateway device 102 may determine a plurality of second container nodes for analyzing and verifying the line loss phenomenon from the container nodes contained therein, and further screen out a second container node from the plurality of second container nodes. The target container node.

Afterwards, the gateway device 102 can further use the second target container node to determine the data collection device 101 that matches the target interval. The number of data collection devices 101 can be multiple, and they are used to collect data in different line intervals. For example, it can be An electric energy meter used to collect power information of different line sections, or an image acquisition device used to collect image information of different line sections, etc. The gateway device 102 can find a data collection device 101 that matches the target interval from multiple data collection devices 101, and can analyze the data collected by the device, so as to verify the line loss phenomenon in the target interval according to the analysis result.

In the above-mentioned line loss detection load balancing method applied to the gateway, the gateway device 102 is used to obtain the electrical quantity data of the target distribution station area, and according to the electrical quantity data, the target with line loss is determined from the distribution lines contained in the target distribution station area. Line; from the plurality of first container nodes included in the gateway device 102, determine the first target container node, and determine the target interval in the plurality of line intervals included in the target line through the first target container node; from the gateway device 102 included Among the plurality of second container nodes, the second target container node is determined, and the data collection device 101 matching the target interval is determined through the second target container node; the data collected by the data collection device 101 is determined through the second target container node Carry out analysis, and verify the line loss phenomenon in the target interval according to the data analysis results. In the process of analyzing the line loss phenomenon in this application, the first target container node and the second target container node can be determined from the multiple first container nodes and second container nodes of the gateway device 102, and the first target container node can be used to The container node is used to determine the target interval, and the second target container node is used to verify the line loss, so that the load balance of the gateway device 102 is realized through the container node, and the utilization rate of computing resources in the line loss detection and analysis process is improved.

In one embodiment, as shown in FIG. 3, step S202 may further include:

In step S301, the gateway device 102 acquires the number of active connections of each first container node.

Wherein, the number of active connections can be used to characterize the node load of each first container node. In this embodiment, after the gateway device 102 determines all the first container nodes, it can further determine the active connections of each first container node number.

In step S302, the gateway device 102 uses the first container node with the smallest number of active connections among the multiple first container nodes as the first target container node.

Afterwards, after the gateway device 102 determines the number of active connections of each first container node, it can further take the first container node with the smallest number of active connections, that is, the smallest node load, as the first target container node, so that the The first container node with the smallest node load is used to determine the target interval, so as to achieve load balancing in the process of determining the target interval, and further improve the utilization rate of computing resources in the process of determining the target interval.

Similarly, in step S203, the gateway device 102 can select the second container node with the smallest number of active connections as the second target container node according to the number of active connections of each second container node, so that the node with the smallest load can be The second container node is used for the verification and analysis of the line loss phenomenon, so as to realize load balancing in the verification and analysis process of the line loss phenomenon, and further improve the utilization rate of computing resources in the verification and analysis process of the line loss phenomenon.

In this embodiment, through the number of active connections of each first container node, the first container node with the smallest number of active connections can be selected as the first target container node, which realizes load balancing in the process of determining the target interval, and further improves the target The utilization rate of computing resources in the interval determination process. At the same time, through the number of active connections of each second container node, the second container node with the smallest number of active connections can be selected as the second target container node, which realizes load balancing in the verification and analysis process of line loss phenomenon, and further improves Utilization of computing resources during the verification analysis of line loss phenomena.

In addition, as shown in Figure 4, the line loss detection load balancing method applied to the gateway may also include:

Step S401, when there are multiple first container nodes with the smallest number of active connections, the gateway device 102 acquires the node priority weights preset for each first container node with the smallest number of active connections;

Step S402, taking the first container node with the largest node priority weight among the first container nodes with the smallest number of active connections as the first target container node.

In this embodiment, if there are multiple first container nodes with the smallest number of active connections, for example, container node A and container node B as the first container node have the same number of active connections, and the number of active connections of container node A and container node B The number of active connections is the minimum value of the number of active connections of each first container node, then both container node A and container node B can be used as the first container node with the smallest number of active connections. At this time, the gateway device 102 can further obtain the node priority weights respectively set by the container node A and the container node B. The node priority weight can represent the priority of the container node. The greater the priority weight, the more the node The higher the priority of the node, the node priority may be preset by the gateway device 102, that is, different priorities are set for different container nodes.

Therefore, when there are multiple first container nodes with the smallest number of active connections, the gateway device 102 may further filter out the first container with the largest node priority weight from the multiple first container nodes with the smallest number of active connections node, as the first target container node. For example, the gateway device 102 can compare the node priority weights set for the container node A and the container node B, if the node priority weight of the container node A is greater than the node priority weight of the container node B, then the gateway device 102 can further set Container node A serves as the first target container node.

Similarly, if there are multiple second container nodes with the smallest number of active connections, the gateway device 102 may also respectively acquire the priority weights of the second container nodes with the smallest number of active connections, and select the node with the largest priority weight among them. The second container node is used as the second target container node.

In this embodiment, if there are multiple first container nodes or second container nodes with the smallest number of active connections, the gateway device 102 may also assign the first container node with the smallest number of active connections based on the priority weight of each container node. The container node or the second container node is further screened to obtain the first target container node or the second target container node, so as to further improve the intelligence of the determination process of the first target container node or the second target container node, thereby further improving the line loss Analyze the compute resource utilization for validation.

In one embodiment, the target line includes multiple power users; as shown in FIG. 5, step S202 may further include:

In step S501, the gateway device 102 obtains real-time line loss data and historical line loss data of the target line through the first target container node, and obtains the change trend of the line loss data of the target line according to the real-time line loss data and historical line loss data.

Wherein, the real-time line loss data refers to the real-time line loss rate data of the distribution lines contained in the target distribution station area, and the data can be collected by the first target container node of the gateway device 102 through the distribution station area The power quantity data is calculated, while the historical line loss data refers to the line loss data for the target line in a certain historical time interval stored in advance by the gateway device 102, for example, it can be before the line is relocated or the new user connects. Input the previous line loss data, and the line loss data change trend can be the change process of the line loss data of the target line in a certain period of time, and can be drawn by the gateway device 102 according to the collected real-time line loss data and historical line loss data The change trend curve of the line loss data for the target line.

Specifically, the first target container node of the gateway device 102 can use the calculated real-time line loss data and the time of the stored historical line loss data as the abscissa, and the size of the real-time line loss data and the historical line loss data as the ordinate , draw the change trend curve of the line loss data in the target line as the change trend of the line loss data of the target line.

In step S502, the gateway device 102 obtains the power consumption trend of each power user in the target line, and determines the target user with potential electricity stealing behavior from among multiple power users according to the power consumption change trend and the line loss data change trend;

In step S503, the gateway device 102 takes the line section where the target user is located as the target section.

Since the line loss phenomenon may be caused by the electricity stealing behavior of the power user, in this embodiment, it is possible to determine the existence of the line loss by detecting the target user who may have the electricity stealing behavior, that is, the potential user who has the electricity stealing behavior. The target interval of the power consumption change trend refers to the change trend of the power consumption data of each power user on the target line. The gateway device 102 can collect the power consumption data of each power user in the target line in different time periods through the first target container node, so as to obtain the change trend graph of the power consumption data of each power user, and obtain the power consumption data of each power user Trend.

Afterwards, the gateway device 102 can also use the first target container node to determine the trend of electricity stealing and leakage according to the line loss data change trend of the target line obtained in step S401 and the power consumption change trend of each power user in the target line. Target users. In addition, the line section where the target user is located may be further used as the target section.

For example, the power users contained in the target line can be power user A, power user B, and power user C, and the gateway device 102 can respectively obtain the line loss data change trend of the target line through the first target container node, and power user A , power user B, and power user C corresponding to the power consumption trend respectively, that is, the power consumption trend A, the power consumption trend B and the power consumption trend C are respectively obtained, and then according to the line loss data change trend and the power consumption change Trend A, power consumption change trend B and power consumption change trend C determine the target user who has the behavior of stealing and leaking electricity, which can be power user B, then at this time, the line area where power user B is located can be used as the target area.

In this embodiment, the gateway device 102 can determine the target user who has the behavior of stealing electricity through the change trend of the line loss data of the target line and the power consumption change trend of each power user in the target line, so as to further obtain the target interval and realize The determination of the target interval is carried out by determining the target user who has the behavior of stealing and leaking electricity, and the efficiency of determining the target interval is improved.

Further, step S502 may further include: the gateway device 102 compares the change trend of line loss data with the change trend of power consumption of each power user, and obtains the similarity between the change trend of power consumption of each power user and the change trend of line loss data; If the similarity is greater than the preset similarity threshold, the power user is taken as the target user.

Among them, the similarity refers to the similarity between the change trend of line loss data and the change trend of power consumption of each power user. If it is similar, then it is very likely that the power user has stolen electricity. For example, when the power consumption of the power user is low, the line loss data of the target line is also small, and if the power consumption of the power user is large, the line loss data of the target line also increases, then it is very It may be that the power consumption behavior of the power user causes a corresponding change in the line loss data of the target line, that is, the power user is likely to steal electricity, so the gateway device 102 can The similarity between data change trends can find target users from multiple power users.

Specifically, the user can set a similarity threshold for the gateway device 102. If the similarity between the power consumption change trend of a certain power user and the line loss data change trend is greater than the set similarity threshold, it means that the power consumption of the power user is greater than the set similarity threshold. The electricity change trend is very similar to the line loss data change trend, so the gateway device 102 can regard the power user as a target user who may have electricity stealing behavior, that is, has potential electricity stealing behavior.

In this embodiment, the gateway device 102 can determine the target user with potential electricity stealing behavior by comparing the similarity between the line loss data change trend and the power consumption change trend of each power user, which can improve the accuracy of target user identification. accuracy.

In addition, in an embodiment, the data collection device 101 includes an image data collection device; step S203 may further include: based on the pre-built correspondence between the device number and the line interval, obtain the target device number matching the target interval, and set the target device The image data acquisition device corresponding to the number is used as the image data acquisition device matching the target interval; step S204 may further include: performing image analysis on the image data collected by the image data acquisition device matching the target interval through the second target container node, and according to the image The result of the analysis is the verification result of the leakage behavior, and the verification result of the leakage behavior is used as the verification result of the line loss phenomenon in the target interval.

The data collection device 101 may be an image data collection device for collecting image information of a target line, or a camera for shooting image information of a target line. And the number of image data collection devices can also be multiple, which are respectively used to photograph different line sections of the target line. For example, the target line includes line section A, line section B, and line section C, and image data collection device A can collect line section The image data related to A, the image data collection device B can collect the image data related to the line section B, and the image data collection device C can collect the image data related to the line section C. Therefore, in order to determine the image data acquisition device that matches the target interval, the gateway device 102 can pre-store the corresponding relationship between the device numbers of each image data acquisition device and the line interval, so that after obtaining the target interval, you can use the second The target container node finds a corresponding device number according to the corresponding relationship, and uses the image data collection device corresponding to the device number as the image data collection device matching the target interval.

For example, the target section is the line section B, and the gateway device 102 stores the corresponding relationship between the device number B and the line section B, then the gateway device 102 can determine the image corresponding to the device number B through the second target container node The data collection device may be an image data collection device B, and corresponding image data is obtained through the image data collection device B.

After obtaining the image data collected by the image data acquisition device matching the target interval, the image data can be further image analyzed, for example, it can be through a pre-trained image analysis model for analyzing leakage behavior, by inputting the image data Analyze the model, so as to obtain the analysis and verification results of electricity stealing behavior, and then the gateway device 102 can also use the verification result of electricity stealing behavior as the verification result of the line loss phenomenon in the target interval, for example, the verification result of electricity stealing behavior indicates that the target user does exist Stealing leakage behavior, then it can be determined that there is indeed a line loss phenomenon in the target area.

In this embodiment, after the target area is determined, the image data of the target area can also be obtained through the image data acquisition device of the target area, and the image data of the target area can be analyzed through the second target container node, so as to obtain the target area The user's potential electricity stealing behavior is verified, and the verification result of the electricity stealing behavior is used as the verification result of the line loss phenomenon, so that the accuracy of the verification result of the line loss phenomenon can be improved.

In one embodiment, as shown in FIG. 6, step S201 may further include:

In step S601, the gateway device 102 acquires power supply data and power consumption data of each distribution line according to the power quantity data, and a power difference between the power supply quantity data and the power consumption data.

Among them, the power supply data refers to the total power supply data of each distribution line, and the power consumption data refers to the total power consumption data of the distribution line. Ideally, for the same distribution line , the total power supply data and the total power consumption data are in a balanced state, that is, the power supply data is equal to the power consumption data, and due to the existence of line loss, the power supply data is often greater than the power consumption data, and the gateway device 102 can The difference between the power supply data and the power consumption data is calculated as the power difference.

In step S602, the gateway device 102 uses the ratio of the power difference value to the power supply data as the real-time line loss data of each power distribution line.

After the gateway device 102 obtains the power difference in step S601, it can calculate the ratio of the power difference to the obtained power supply data, and use the obtained line loss rate as the real-time line loss data of the power distribution line.

For example, the real-time line loss data can be calculated by the formula: ΔP% = (power supply - power consumption) ÷ power supply x 100%, where ΔP% represents the real-time line loss data of the distribution line, and the power supply represents the distribution line The power supply data of the distribution line, while the power consumption represents the power consumption data of the distribution line.

In step S603, the gateway device 102 takes the distribution lines whose real-time line loss data is greater than the preset line loss threshold as target lines.

The line loss threshold can be the line loss rate of the distribution line pre-set by the user under normal conditions, for example, it can be set to 7%. Generally speaking, when the line loss rate of a certain distribution line is greater than the set line loss rate loss threshold, then there is a high possibility of line loss phenomenon on the transmission line, so the gateway device 102 can compare the real-time line loss data corresponding to each power distribution line and the size relationship between the line loss threshold, if a certain power distribution line corresponds to If the real-time line loss data is greater than the preset line loss threshold, then the gateway device 102 may use the power transmission line as a target line with line loss.

In the above embodiment, the intelligent gateway 102 can obtain the real-time line loss data of the distribution line according to the power supply and power consumption of the distribution line, and can compare the real-time line loss data with the relationship between the line loss threshold, so that The target line can be determined from multiple power distribution lines, and the accuracy and efficiency of target line determination can be improved.

In one embodiment, a gateway-based load balancing method applied to line loss detection is also provided. The detection terminal installed in the distribution station area collects electrical quantity data, and judges whether line loss occurs according to the electrical quantity data. If there is a line loss phenomenon, the first target container node in the gateway device will analyze the data of the line loss phenomenon to determine whether there is a line loss phenomenon. If it exists, the second target container node in the gateway device will check the existing Perform data analysis and verification on the area of line loss phenomenon. The line loss phenomenon may be caused by old equipment, or it may be caused by stealing and leakage.

Specifically, the following steps may be included:

(1) Obtain the electrical quantity data of the distribution station area through the detection terminal, and obtain the distribution lines with line loss phenomenon according to the electrical quantity data.

Among them, the electrical quantity data includes the electrical quantity data of each branch line in the distribution station area, and the household meter electrical quantity data of the user electric energy meter, and then the existing line can be screened out according to the branch line electrical quantity data and the household meter electrical quantity damaged lines.

For example, the calculation formula of the line loss rate is (electric quantity data of the branch line - electric quantity data of the household meter)/electric quantity data of the branch line, if the line loss rate is greater than 7%, then the line is regarded as a line with line loss phenomenon .

(2) From the multiple first container nodes included in the gateway device, determine one of them as the first target container node, and use the first target container node to determine the target with line loss from the lines with line loss phenomenon Power users, and determine the line area corresponding to the target power users. Among them, the line loss caused by power users may be caused by electricity leakage or old equipment.

Among them, the gateway device may contain multiple container nodes in advance, the first container node is a container node among the multiple container nodes that can be used to analyze the line loss phenomenon data, and the first target container node is a plurality of first container nodes Among the nodes, the container node is finally used to implement data analysis of the line loss phenomenon, and the gateway device may select one of the multiple first container nodes contained in advance as the first target container node.

For example, the gateway device may obtain the number of active connections of each first container node, and select the first target container node based on the number of active connections, and it may be that the first container node with the smallest number of active connections is used as the first target container node , the first target container node can also be selected based on the number of active connections and the node priority weights pre-set for each first container node at the same time, or when the number of active connections of the two first container nodes is the same, the node is selected The container node with higher priority is used as the first target container node.

And for the line loss phenomenon caused by stealing electricity, the gateway device can further obtain the real-time line loss data of the branch branch and the historical line loss data of the branch branch through the first container node, and according to the real-time line loss data and The historical line loss data determines the line loss change trend, forms a line loss change trend curve, and obtains the user power consumption change trend of each user on the branch line to form a power consumption change trend curve. By comparing the power consumption change trend curve with the line The power loss trend curve can be used to determine the target power user, and the line area where the target power user is located can be used as the line area corresponding to the target power user.

(3) From the plurality of second container nodes included in the gateway device, determine one of them as the second target container node, and use the second target container node to determine the data acquisition device corresponding to the line area corresponding to the target power user, through The data acquisition equipment obtains the data of the line area, and verifies the line loss phenomenon according to the data.

The second container node is a container node that can be used to implement data verification among multiple container nodes, and the second target container node is a container node that is finally used for data verification among multiple second container nodes. Select one of the included multiple second container nodes as the second target container node.

The screening method of the second target container node is similar to that of the first target container node, that is, the gateway device obtains the number of active connections of each second container node, and selects the second target container node based on the number of active connections. The second container node with the smallest number is used as the second target container node, and the second target container node can also be selected based on the number of active connections and the node priority weights set in advance for each second container node. When the number of active connections of the two container nodes is the same, the container node with a higher node priority is selected as the second target container node.

In addition, the device number of each data collection device can be obtained through the second container node, and according to the corresponding relationship between the device number and the line area, the data collection device matching the line area corresponding to the target power user is found, and the line is obtained through the data collection device. Region's data.

Wherein, the data acquisition device may be an image acquisition device, and the image of the line area collected by the image acquisition device may be used to verify whether there is a line loss phenomenon caused by electricity theft.

In this embodiment, the electrical quantity data is collected through the detection terminal installed in the distribution station area, and whether a line loss phenomenon occurs is judged according to the electrical quantity data. If a line loss phenomenon occurs, the first target container node in the gateway device Analyze the line loss phenomenon to determine whether there is a line loss phenomenon. If there is, the second target container node in the gateway device will verify the data in the area where the line loss phenomenon exists, so that the line loss phenomenon can be implemented through the container node. The detection and analysis of line loss can improve the utilization rate of computing resources of line loss detection and analysis.

It should be understood that although the steps in the flow charts involved in the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in the flow charts involved in the above-mentioned embodiments may include multiple steps or stages, and these steps or stages are not necessarily executed at the same time, but may be performed at different times For execution, the execution order of these steps or stages is not necessarily performed sequentially, but may be executed in turn or alternately with other steps or at least a part of steps or stages in other steps.

Based on the same inventive concept, an embodiment of the present application further provides a line loss detection load balancing device applied to a gateway for implementing the above-mentioned line loss detection load balancing method applied to a gateway. The solution to the problem provided by the device is similar to the implementation described in the above method, so the specific limitations in one or more embodiments of the line loss detection load balancing device applied to the gateway provided below can be referred to above The limitation of the line loss detection load balancing method applied to the gateway will not be repeated here.

In one embodiment, as shown in FIG. 7 , a line loss detection load balancing device applied to a gateway is provided, which is applied to a gateway device, including: a target line determination module 701, a target interval determination module 702, and a collection device determination module 703 and line loss phenomenon verification module 704, wherein:

The target line determination module 701 is configured to acquire the electrical quantity data of the target distribution area, and determine the target line with line loss from the distribution lines included in the target distribution area according to the electrical quantity data;

A target section determination module 702, configured to determine a first target container node from among a plurality of first container nodes included in the gateway device, and determine a target section among a plurality of line sections included in the target line through the first target container node;

The acquisition device determination module 703 is configured to determine a second target container node from a plurality of second container nodes included in the gateway device, and determine a data acquisition device that matches the target interval through the second target container node;

The line loss phenomenon verification module 704 is configured to analyze the data collected by the data collection device through the second target container node, and verify the line loss phenomenon in the target interval according to the data analysis result.

In one embodiment, the target interval determination module 702 is further configured to obtain the number of active connections of each first container node; among multiple first container nodes, the first container node with the smallest number of active connections is used as the first target container node.

In one embodiment, the target interval determination module 702 is further configured to obtain the preset values for each first container node with the smallest number of active connections when there are multiple first container nodes with the smallest number of active connections. the node priority weight; among the first container nodes with the smallest number of active connections, the first container node with the largest node priority weight is used as the first target container node.

In one embodiment, the target line contains multiple power users; the target interval determination module 702 is further configured to obtain real-time line loss data and historical line loss data of the target line through the first target container node, and according to the real-time line loss data and historical line loss data, to obtain the change trend of line loss data of the target line; to obtain the power consumption change trend of each power user in the target line, and to determine the power consumption trend from multiple power users according to the power consumption change trend and line loss data change trend The target user of the potential stealing behavior; the line section where the target user is located is taken as the target section.

In one embodiment, the target interval determination module 702 is further configured to compare the change trend of line loss data with the change trend of power consumption of each power user, and obtain the relationship between the change trend of power consumption of each power user and the change trend of line loss data. Similarity; if the similarity is greater than the preset similarity threshold, the power user is taken as the target user.

In one embodiment, the data collection device includes an image data collection device; the collection device determination module 703 is further configured to obtain the target device number matching the target interval based on the pre-built correspondence between the device number and the line interval, and set the target device The image data acquisition device corresponding to the number is used as the image data acquisition device matching the target interval; the line loss phenomenon verification module 704 is further used to perform image processing on the image data collected by the image data acquisition device matching the target interval through the second target container node According to the image analysis result, the verification result of the leakage behavior is obtained, and the verification result of the leakage behavior is used as the verification result of the line loss phenomenon in the target interval.

In one embodiment, the target line determination module 701 is further configured to obtain the power supply data and power consumption data of each distribution line according to the electric quantity data, and the power difference between the power supply quantity data and the power consumption data; The ratio of the power difference value to the power supply data is used as the real-time line loss data of each distribution line; the distribution line whose real-time line loss data is greater than the preset line loss threshold is taken as the target line.

Each module in the above-mentioned line loss detection load balancing device applied to a gateway can be realized in whole or in part by software, hardware or a combination thereof. The above modules can be embedded in or independent of the processor in the gateway device in the form of hardware, or can be stored in the memory of the gateway device in the form of software, so that the processor can invoke and execute the corresponding operations of the above modules.

In one embodiment, a gateway device is provided. The gateway device may be a terminal, and its internal structure may be as shown in FIG. 8 . The gateway device includes a processor, a memory and a communication interface connected through a system bus. Wherein, the processor of the gateway device is used to provide calculation and control capabilities. The memory of the gateway device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface of the gateway device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be realized through WIFI, mobile cellular network, NFC (Near Field Communication) or other technologies. When the computer program is executed by the processor, a load balancing method for line loss detection applied to the gateway is realized.

Those skilled in the art can understand that the structure shown in Figure 8 is only a block diagram of a partial structure related to the solution of this application, and does not constitute a limitation on the gateway device to which the solution of this application is applied. The specific gateway device can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

In one embodiment, there is also provided a gateway device, including a memory and a processor, where a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the foregoing method embodiments are implemented.

In one embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the foregoing method embodiments are implemented.

It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all Information and data authorized by the user or fully authorized by all parties.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any reference to storage, database or other media used in the various embodiments provided in the present application may include at least one of non-volatile and volatile storage. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive variable memory (ReRAM), magnetic variable memory (Magnetoresistive Random Access Memory, MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (Phase Change Memory, PCM), graphene memory, etc. The volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the various embodiments provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a blockchain-based distributed database, etc., but is not limited thereto. The processors involved in the various embodiments provided by this application can be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, data processing logic devices based on quantum computing, etc., and are not limited to this.

The technical features of the above embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

The above-mentioned embodiments only express several implementation modes of the present application, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the present application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be determined by the appended claims.

Claims

A line loss detection load balancing method applied to a gateway, characterized in that it is applied to a gateway device, and the method includes:

Obtaining the electrical quantity data of the target distribution station area, and determining the target line with line loss from the distribution lines included in the target distribution station area according to the electrical quantity data;

Determining a first target container node from a plurality of first container nodes included in the gateway device, and determining a target section among a plurality of line sections included in the target line through the first target container node;

Determining a second target container node from a plurality of second container nodes included in the gateway device, and determining a data acquisition device matching the target interval through the second target container node;

The data collected by the data collection device is analyzed through the second target container node, and the line loss phenomenon in the target interval is verified according to the data analysis result.
The method according to claim 1, wherein the determining the first target container node from among the plurality of first container nodes included in the gateway device comprises:

Obtain the number of active connections of each first container node;

Taking the first container node with the smallest number of active connections among the plurality of first container nodes as the first target container node.
The method according to claim 2, further comprising:

When the number of the first container node with the smallest number of active connections is multiple, obtain the node priority weights preset for each first container node with the smallest number of active connections;

Among the first container nodes with the smallest number of active connections, the first container node with the largest node priority weight is used as the first target container node.
The method according to claim 1, wherein the target line includes a plurality of power users;

The determining the target section among the multiple line sections included in the target line through the first target container node includes:

Obtain real-time line loss data and historical line loss data of the target line through the first target container node, and acquire changes in line loss data of the target line according to the real-time line loss data and the historical line loss data trend;

Acquiring the power consumption change trend of each power user in the target line, and determining a target user with potential electricity stealing behavior from among the plurality of power users according to the power consumption change trend and the line loss data change trend;

The line section where the target user is located is taken as the target section.
The method according to claim 4, characterized in that, according to the change trend of the electricity consumption and the change trend of the line loss data, from the plurality of power users, a target user with potential stealing and leakage behavior is determined, include:

Comparing the change trend of the line loss data with the power consumption change trend of each power user, obtaining the similarity between the power consumption change trend of each power user and the line loss data change trend;

If the similarity is greater than a preset similarity threshold, the power user is taken as the target user.
The method according to claim 4, wherein the data collection device includes an image data collection device;

The determining the data acquisition device that matches the target interval through the second target container node includes:

Based on the pre-built corresponding relationship between the equipment number and the line interval, the target equipment number matching the target interval is obtained, and the image data acquisition device corresponding to the target equipment number is used as the image data acquisition device matching the target interval;

The analyzing the data collected by the data acquisition device through the second target container node, and verifying the line loss phenomenon in the target interval according to the data analysis result includes:

Through the second target container node, image analysis is performed on the image data collected by the image data acquisition device matching the target interval, and the verification result of the leakage behavior is obtained according to the result of the image analysis, and the verification result of the leakage behavior is The result is used as the verification result of the line loss phenomenon in the target interval.
The method according to any one of claims 1 to 6, wherein the determining the target line with line loss from the distribution lines included in the target distribution area according to the electrical quantity data includes:

Acquiring the power supply data and power consumption data of each power distribution line according to the electrical quantity data, and the power difference between the power supply quantity data and the power consumption data;

Using the ratio of the power difference to the power supply data as the real-time line loss data of each distribution line;

A power distribution line whose real-time line loss data is greater than a preset line loss threshold is used as the target line.
A line loss detection load balancing device applied to a gateway, characterized in that it is applied to a gateway device, and the device includes:

A target line determination module, configured to obtain electrical quantity data of the target distribution area, and determine a target line with line loss from among the distribution lines included in the target distribution area according to the electrical quantity data;

A target section determination module, configured to determine a first target container node from among a plurality of first container nodes included in the gateway device, and determine a plurality of line sections included in the target line through the first target container node the target interval in

A collection device determination module, configured to determine a second target container node from a plurality of second container nodes included in the gateway device, and determine a data collection device that matches the target interval through the second target container node ;

The line loss phenomenon verification module is configured to analyze the data collected by the data acquisition device through the second target container node, and verify the line loss phenomenon in the target interval according to the data analysis result.
A gateway device, comprising a memory and a processor, the memory stores a computer program, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, wherein, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are realized.