Power grid operation and maintenance method based on telemetry real-time sensing technology

Abstract

The invention discloses a power grid operation and maintenance method based on a telemetry real-time sensing technology, and relates to the technical field of power grid operation and maintenance, and the method comprises the steps: obtaining a network node used for data transmission in a power grid; evaluating the requirement of a network node on data real-time performance, and performing configuration of a teetry subscription relationship according to an evaluation result; the network node is used for carrying out real-time data transmission through the telemetry; according to the method, whether the network node or the equipment connected with the network node breaks down or not is judged based on the real-time data, fault processing measures are taken, the telemetry real-time sensing technology is combined into power grid operation and maintenance, rapid and accurate data transmission can be achieved, and meanwhile when the method is applied to power grid operation and maintenance, the network node or the equipment connected with the network node cannot be damaged. According to the method, the requirements of network nodes for data transmission in a power grid on data real-time performance are evaluated, and configuration of telemetry dynamic subscription or static subscription is carried out according to the evaluation, so that the method is suitable for different network nodes, the network state can be monitored more comprehensively and efficiently, and an administrator is helped to discover and solve network problems in time.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid operation and maintenance, and in particular to a power grid operation and maintenance method based on telemetry real-time sensing technology. Background Art

[0002] As the scale of equipment in the power data network increases and the number of services it carries increases, higher requirements are placed on the intelligent operation and maintenance of the data network, including a higher accuracy of the sampling period of monitoring data in order to detect and adjust microburst traffic in a timely manner, and a monitoring process that has little impact on the function and performance of the equipment itself in order to improve the utilization of the equipment and network. Traditional network monitoring methods such as SNMP (Simple Network Management Protocol) get and CLI (Command-line Interface), due to its shortcomings, the management efficiency is getting lower and lower, and it can no longer meet the evolution of intelligent operation and maintenance of power grids. Traditional network monitoring obtains monitoring data of devices through pull mode, which cannot monitor a large number of network nodes, limiting the growth of the network. The sampling period of monitoring data is generally in minutes, and the accuracy of data acquisition can only be improved by increasing the query frequency, but this will lead to high CPU utilization of network nodes and affect the normal function of the equipment. Due to the existence of network transmission delay, the monitored network node data is not accurate. Telemetry, also known as network telemetry technology, is a technology for obtaining network measurement data at a long distance. It works in push mode (PushMode). The device periodically and actively sends the device's interface traffic statistics, CPU or memory data and other information to the collector. Compared with the traditional pull mode (PullMode), it provides more real-time and higher-speed data collection functions. Applying telemetry to power grid operation and maintenance has become an urgent problem to be solved. However, when applying telemetry to power grid operation and maintenance, the configuration of its subscription method is rarely considered. Most of them directly select the subscription method based on experience, which cannot guarantee that it is suitable for different network nodes. Summary of the invention

[0003] In view of the above problems existing in the prior art, the present invention is proposed.

[0004] Therefore, the prior art problem to be solved by the present invention is that when telemetry is applied to power grid operation and maintenance, the configuration problem of its subscription method is rarely considered.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a power grid operation and maintenance method based on telemetry real-time perception technology, which includes:

[0006] Acquire network nodes in the power grid for data transmission;

[0007] Evaluate the network nodes' requirements for data real-time performance and configure telemetry subscription relationships based on the evaluation results.

[0008] Network nodes transmit real-time data through telemetry;

[0009] Determine whether a network node or a device connected to a network node has a fault based on real-time data, and take fault handling measures.

[0010] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, the power grid is divided into several functional areas according to different regional functions;

[0011] Obtain the network topology diagram of the functional area to be maintained, and obtain the network nodes from the network topology diagram;

[0012] The activity of the network nodes is judged, and the network nodes with higher activity are output as network nodes for data transmission.

[0013] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, the specific steps of judging the activity of network nodes include:

[0014] Get the logs of network nodes and find activity records from the logs;

[0015] If there is an activity record, a connection establishment request is sent to the network node, and the responding network node is output as the network node for data transmission.

[0016] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, the step of evaluating the requirements of network nodes for data real-time performance includes:

[0017] Get the devices connected to the network node;

[0018] Obtain the data traffic transmitted by the network node to the devices connected to it;

[0019] Obtain real-time indicators of data transmission from devices connected to network nodes;

[0020] Assess and quantify the impact of failures in devices connected to network nodes on the power grid.

[0021] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, the data flow, real-time indicators and quantitative impact degree are assigned, and the assigned data are summed, and the telemetry subscription relationship is configured according to the evaluation result.

[0022] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, when the assigned data is less than a preset threshold, the telemetry subscription relationship is configured as a static subscription;

[0023] When the assigned data is greater than the preset threshold, the telemetry subscription relationship is configured as a dynamic subscription.

[0024] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, when the subscription relationship is a static subscription, the network node actively transmits real-time data to the collector or data center through telemetry.

[0025] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, when the subscription relationship is a dynamic subscription, the collector or data center obtains real-time data from the network node and transmits it through telemetry.

[0026] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, the historical data of network nodes is obtained, and a probability distribution diagram is constructed based on the historical data; the real-time data transmitted by telemetry is compared with the probability distribution diagram, and whether there is an abnormality is determined according to the degree of deviation, and obvious faults are obtained.

[0027] As a preferred solution of the power grid operation and maintenance method based on telemetry real-time perception technology described in the present invention, the real-time data transmitted by telemetry is input into a trained deep learning network, potential faults are obtained through deep learning network processing, and fault handling measures are taken according to obvious faults and potential faults.

[0028] Beneficial effects of the present invention: The present invention provides a power grid operation and maintenance method based on telemetry real-time perception technology. After obtaining the network nodes used for data transmission in the power grid, the requirements of the network nodes for data real-time are evaluated, and different telemetry subscription relationships are configured according to the evaluation results to ensure the effectiveness of data transmission and improve the efficiency of data transmission. Then the network nodes perform real-time data transmission through telemetry. Compared with the traditional data transmission method, a more real-time and high-speed data acquisition function can be provided. Finally, it can be determined whether a network node or a device connected to the network node has a fault based on the real-time data, and fault handling measures can be taken in time. Due to the high efficiency and real-time nature of telemetry transmission, faults can be quickly discovered and handled to avoid abnormal operation of the power grid due to faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 It is a flow chart of the present invention.

[0031] Figure 2 Flow chart of step S1 of the present invention.

[0032] Figure 3 This is a flow chart of step S2 of the present invention.

[0033] Figure 4 This is a flow chart of step S3 of the present invention.

[0034] Figure 5 This is a flow chart of step S4 of the present invention. DETAILED DESCRIPTION

[0035] In order to make the above-mentioned objects, features and advantages of the present invention more clearly understood, the specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings.

[0036] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0037] Example 1

[0038] Reference Figure 1 , Figure 2 , which is the first embodiment of the present invention, and provides a power grid operation and maintenance method based on telemetry real-time perception technology, comprising the following steps:

[0039] S1: Acquire network nodes in the power grid for data transmission;

[0040] S2: Evaluate the network nodes' requirements for data real-time performance and configure telemetry subscription relationships based on the evaluation results.

[0041] S3: Network nodes transmit real-time data through telemetry;

[0042] S4: Determine whether a network node or a device connected to the network node fails based on real-time data, and take fault handling measures.

[0043] The power grid operation and maintenance method based on telemetry real-time perception technology of the present invention applies telemetry real-time perception technology to power grid operation and maintenance for transmitting real-time data. Before transmission, the network nodes used for data transmission in the power grid are first confirmed. The network nodes are used to connect with other devices in the power system, such as generators, transformers, etc., to send commands to the devices, or transmit monitoring data of the devices, etc. Therefore, the obtained network nodes need to be those in actual use. After the network nodes are obtained, the requirements of the network nodes for data real-time performance need to be evaluated. For telemetry, there are two subscription methods. For network nodes, the number of According to different real-time requirements, different subscription methods are selected to ensure real-time, efficient and practical data transmission. Network nodes can then transmit real-time data through telemetry. Compared with traditional SNMP and CLI, data can be transmitted more efficiently. Finally, real-time data can be used to determine whether a network node or a device connected to a network node has a fault, so that fault handling measures can be taken in time to ensure that the power grid can resume operation in time and avoid power transmission and distribution abnormalities caused by faults. Due to the high efficiency and real-time nature of telemetry for data transmission, the fault point can be quickly located and handled to ensure the normal operation of the power grid.

[0044] Preferably, the specific steps of S1 are:

[0045] S11: Divide the power grid into several functional areas according to different regional functions;

[0046] S12: Obtain a network topology map of the functional area to be maintained, and obtain network nodes from the network topology map;

[0047] S13: Determine the activity of the network nodes, and output the network nodes with higher activity as the network nodes for data transmission. The specific steps for determining the activity of the network nodes are: obtain the log of the network node, search for activity records from the log, and if there are activity records, send a connection establishment request to the network node, and output the responding network node as the network node for data transmission.

[0048] When acquiring network nodes, in order to improve efficiency, the power grid is first divided into functional areas according to different regional functions, such as residential areas, industrial areas, and agricultural areas. After being divided into different functional areas, network nodes can be acquired according to the network topology diagram of the functional area to be operated and maintained. The acquired network nodes are relatively comprehensive, and it is necessary to evaluate whether the network nodes are in use. Therefore, it is necessary to judge the activity of the network nodes. The judgment method is to obtain the log of the network node and find the activity record from the log. If there is an activity record, it means that the network node has been active in the recent period of time. If there is no activity record, it means that the network node is not in use. When there is an activity record, it is necessary to further verify the activity of the network node. Therefore, a connection establishment request is sent to the network node, and the responding network node is recorded as a relatively active network node, and output as a network node for data transmission.

[0049] Preferably, the specific steps of evaluating the network node's requirements for data real-time performance in S2 are:

[0050] S21: Acquire the device connected to the network node;

[0051] S22: Obtaining data traffic transmitted by the network node to the device connected thereto;

[0052] S23: obtaining a real-time performance indicator of data transmission of a device connected to the network node;

[0053] S24: Evaluate and quantify the impact of a failure of equipment connected to a network node on the power grid;

[0054] S25: Evaluate the network node's requirements for data real-time performance based on data flow, real-time indicators, and the degree of quantitative impact. The specific steps are: assign values ​​to the data flow, real-time indicators, and the degree of quantitative impact, and sum the assigned data.

[0055] S26: When the assigned data is less than the preset threshold, the telemetry subscription relationship is configured as a static subscription;

[0056] S27: When the assigned data is greater than a preset threshold, the telemetry subscription relationship is configured as a dynamic subscription.

[0057] After obtaining the network node, it is necessary to evaluate the network node's requirements for data real-time performance. It is necessary to first obtain the device connected to the network node to determine the connection relationship and data transmission relationship between the network node and the device, and then collect the data traffic transmitted from the network node to the device. At the same time, confirm the device's real-time performance index for data transmission according to the device's user manual or instructions, and evaluate the impact of the device failure on the power grid. Then, evaluate the network node's requirements for data real-time performance based on three data. The three data are assigned weights of different sizes and then unified. The assigned data are summed, and then the summed data is compared with the preset threshold. If the sum result is greater than the preset threshold, it means that the network node has a high requirement for data real-time performance. If the sum result is less than the preset threshold, it means that the requirement for data real-time performance is low. According to the different requirements for data real-time performance, the telemetry subscription relationship is configured. Static subscription is used for low data real-time performance requirements, and dynamic subscription is used for high data real-time performance requirements. After selecting different subscription methods based on different requirements, real-time and efficient data transmission can be guaranteed. At the same time, based on different subscription methods, data collection and transmission can be selectively performed to meet different needs.

[0058] Preferably, the specific steps of S3 are:

[0059] S31: When the subscription relationship is static, the network node actively transmits real-time data to the collector or data center through telemetry;

[0060] S32: When the subscription relationship is dynamic subscription, the collector or data center obtains real-time data from the network node and transmits it through telemetry.

[0061] Static subscription is suitable for network nodes that do not have high requirements for data real-time performance. The network node acts as the client and the collector or data center acts as the server. The network node actively initiates a connection to the collector to collect and upload data. For example, devices used for statistical or historical data analysis usually do not need to be changed frequently. It is suitable for users who want to monitor a port or specific data for a long time and periodically. Through static subscription, users can continuously obtain the required data without frequently initiating connection requests.

[0062] As for dynamic subscription, the network node acts as the server, and the collector or data center acts as the client to initiate a connection to the device to collect and upload data. The data collection configuration can be adjusted in real time to ensure the timeliness and accuracy of the data. When the user is interested in certain interfaces and wants to monitor them for a period of time, the dynamic subscription function can be used. When the user is no longer interested, the connection can be disconnected and the subscription will be automatically canceled and will not be restored. This method helps avoid long-term load on the device and simplifies the interaction between users and devices.

[0063] Preferably, the specific steps of S4 are:

[0064] S41: Obtain historical data of network nodes and construct a probability distribution graph based on the historical data;

[0065] S42: Compare the real-time data transmitted by telemetry with the probability distribution graph, determine whether there is an abnormality based on the degree of deviation, and obtain obvious faults;

[0066] S43: input the real-time data transmitted by telemetry into the trained deep learning network, and obtain potential faults through deep learning network processing. The deep learning network is trained by using the network node data and fault type when the power grid fails;

[0067] S44: Take fault handling measures based on obvious faults and potential faults.

[0068] After the network nodes transmit real-time data through telemetry, the power grid fault can be judged according to the received real-time data. Fault judgment includes two directions, namely obvious fault judgment and potential fault judgment. The obvious fault judgment is obtained by comparing the historical data and real-time data of the network node. The probability distribution map is constructed according to the historical data, and then the real-time data is compared with the probability distribution map. Whether there is an abnormality is determined by the degree of deviation, so as to obtain the obvious fault. The potential fault needs to be predicted by the deep learning network. The deep learning network is trained according to the previous faults and the data transmitted at the time of the fault. After processing the real-time data, the potential fault is output. Finally, the fault handling measures taken can be determined according to the obvious faults and potential faults, including fault warning or fault isolation, so as to ensure the rapid repair of the power grid fault.

[0069] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the invention, which should be included in the scope of the claims of the present invention.

Claims

1. A power grid operation and maintenance method based on telemetry real-time perception technology, characterized by: include, Acquire network nodes in the power grid for data transmission; Evaluate the network nodes' requirements for data real-time performance and configure telemetry subscription relationships based on the evaluation results. Network nodes transmit real-time data through telemetry; Determine whether a network node or a device connected to a network node has a fault based on real-time data, and take fault handling measures.

2. A power grid operation and maintenance method based on telemetry real-time sensing technology as claimed in claim 1, characterized in that: The step of acquiring the network node comprises: Divide the power grid into several functional areas according to different regional functions; Obtain the network topology diagram of the functional area to be maintained, and obtain the network nodes from the network topology diagram; The activity of the network nodes is judged, and the network nodes with higher activity are output as network nodes for data transmission.

3. A power grid operation and maintenance method based on telemetry real-time sensing technology as claimed in claim 2, characterized in that: The specific steps for judging the activity of network nodes include: Get the logs of network nodes and find activity records from the logs; If there is an activity record, a connection establishment request is sent to the network node, and the responding network node is output as the network node for data transmission.

4. The power grid operation and maintenance method based on telemetry real-time sensing technology according to claim 1, characterized in that: The step of evaluating the network node's requirement for data real-time performance includes: Get the devices connected to the network node; Obtain the data traffic transmitted by the network node to the devices connected to it; Obtain real-time indicators of data transmission from devices connected to network nodes; Assess and quantify the impact of failures in devices connected to network nodes on the power grid.

5. A power grid operation and maintenance method based on telemetry real-time sensing technology as claimed in claim 4, characterized in that: Assign values ​​to data traffic, real-time indicators, and the degree of quantitative impact, sum the assigned data, and configure telemetry subscription relationships based on the evaluation results.

6. A power grid operation and maintenance method based on telemetry real-time sensing technology as claimed in claim 5, characterized in that: When the assigned data is less than the preset threshold, the telemetry subscription relationship is configured as a static subscription; When the assigned data is greater than the preset threshold, the telemetry subscription relationship is configured as a dynamic subscription.

7. A power grid operation and maintenance method based on telemetry real-time sensing technology as claimed in claim 6, characterized in that: When the subscription relationship is static, the network node actively transmits real-time data to the collector or data center through telemetry.

8. The power grid operation and maintenance method based on telemetry real-time perception technology according to claim 3, characterized in that: When the subscription relationship is dynamic, the collector or data center obtains real-time data from the network node and transmits it through telemetry.

9. A power grid operation and maintenance method based on telemetry real-time sensing technology as claimed in claim 8, characterized in that: Obtain historical data of network nodes and build a probability distribution graph based on the historical data; Compare the real-time data transmitted by telemetry with the probability distribution graph, determine whether there is an anomaly based on the degree of deviation, and obtain obvious faults.

10. A power grid operation and maintenance method based on telemetry real-time sensing technology as claimed in claim 9, characterized in that: The real-time data transmitted by telemetry is input into the trained deep learning network, potential faults are obtained through deep learning network processing, and fault handling measures are taken based on obvious faults and potential faults.

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