Urban power grid data monitoring method and system

Abstract

The invention provides an urban power grid data monitoring method and system. The method provided by the invention comprises the following steps: constructing communication nodes and a communication network; constructing a power monitoring node and embedding the power monitoring node into the communication link to form a sub-link; writing data into the power monitoring node to obtain a first Poisson rate about response time; calculating a second Poisson rate when the power monitoring node writes new monitoring data and power exchange data; and according to the second Poisson rate and the confidence threshold interval, obtaining a fault area and wrong city power equipment. According to the method, the communication link based on the communication response time is constructed for the urban power equipment in the complex urban area from the angle of the data fitting degree of the urban power equipment, and the first Poisson rate is calculated according to the response time distribution rate during data writing; and comparing the second Poisson rate during subsequent data writing with the first Poisson rate to obtain an area with a response distribution error, so as to diagnose the urban power equipment from the perspective of big data storage.

Description

Technical Field

[0001] The invention belongs to the technical field of power equipment monitoring, and in particular relates to a method and system for monitoring urban power grid data. Background Art

[0002] Electricity is the foundation of today's urban construction. Ensuring the safe and efficient operation of the power system is the top priority in urban construction. Modern distribution networks are complex and have a large number of nodes. Failures are inevitable in the actual power operation process.

[0003] In terms of the types of urban power grid monitoring equipment, equipment monitoring mainly consists of online temperature monitoring, lightning arrester insulation monitoring, circuit breaker online monitoring and power consumption monitoring. In terms of power grid faults, there are two main types: permanent faults and transient faults. Permanent faults cause power outages and require maintenance personnel to perform maintenance before service can be restored. Transient faults are usually caused by transient conditions that cause faults and occur in a short period of time. Protection devices such as automatic reclosing can clear transient faults and restore normal power supply by tripping and reclosing once or multiple times. According to the complexity of the urban power grid, a large amount of concurrent data will be generated.

[0004] How to implement urban power grid monitoring based on existing data to predict faults of various devices and diagnose fault types has become an urgent problem to be solved. In view of this, a system and method for urban power grid data monitoring are provided. Summary of the invention

[0005] The present invention provides a method and system for monitoring data of a city power grid, which store monitoring data of city power equipment and provide early warning and prompts for data anomalies.

[0006] A first aspect of the present invention provides a method for monitoring urban power grid data, comprising the following steps:

[0007] Acquire monitoring data and communication data from multiple power monitoring nodes;

[0008] Build communication networks and simulation networks for power monitoring nodes,

[0009] Construct a communication node for communication data and set the communication duration of the communication node to each power monitoring node;

[0010] Obtaining a co-built communication node of the communication node by diffusion from one of the communication nodes to a preset interval node position on its communication link, and obtaining a target end fitting degree from the second data between the communication node and the co-built communication node,

[0011] The target end fitting degree is set to a fitting degree obtained according to the first region condition and the first data condition,

[0012] The first area condition is a target end area fit between a communication node and a corresponding co-built communication node;

[0013] The second area condition is the target end power exchange data fitting degree under the first area condition;

[0014] The cluster communication node is embedded between the communication links of multiple communication nodes to form a sub-link of the communication link, and the sub-link has the following settings:

[0015] If the clustered communication node is constructed based on the second data between two adjacent communication nodes, the sub-link is a proportionally divided link set for the communication link between the adjacent communication nodes;

[0016] If the clustered communication node is constructed based on the second data between two non-adjacent communication nodes, the sub-links are equally divided links set as the shortest communication links between the non-adjacent communication nodes, or

[0017] Proportional equal-divided links obtained by setting communication links that do not intersect with any associated communication links;

[0018] If the clustered communication node is constructed based on the second data of more than two communication nodes, the sub-links are proportionally divided links that do not intersect any of the associated communication links;

[0019] The proportional equally divided link is a link from the power monitoring node communication response to its corresponding communication node;

[0020] The communication response time of each sub-link is set to be the same.

[0021] The communication response time of the proportional equally divided link is set according to the fitting degree ratio of each communication node participating in the communication in the sub-link to the target end of the same co-built communication node;

[0022] Initially writing the monitoring data and power exchange data in the corresponding communication node into each of the power monitoring nodes, and when writing, sending a response signal from one power monitoring node to propagate to each power monitoring node through all sub-links, selecting different power monitoring nodes to send response signals multiple times to obtain the initial response time distribution rate of each power monitoring node, obtaining a first Poisson rate about the initial response time, and presetting a confidence threshold interval of the first Poisson rate;

[0023] The second Poisson rate is calculated when the power monitoring node writes new monitoring data and communication data,

[0024] Obtain the fault area and faulty urban power equipment in the confidence threshold interval according to the second Poisson rate;

[0025] The interval communication duration is obtained, and it is determined whether the monitoring data obtained within the interval communication duration is within a threshold. If not, an instantaneous fault is determined.

[0026] Furthermore, after obtaining the fault area and the faulty city power equipment according to the second Poisson rate, it also includes calculating multiple differences between the second Poisson rate and the first Poisson rate to obtain the distribution of the differences within a preset time period, that is, the difference Poisson distribution rate per unit time.

[0027] Furthermore, if the power monitoring node performs relay communication to more than one communication node, the following steps are also performed:

[0028] Setting a verification communication node between the two communication nodes to form a first sub-link and a second sub-link between the verification communication node and the two relay communication nodes;

[0029] The simulated communication duration of the first sub-link and the second sub-link is equal to the theoretical decay ratio when the two relay communication nodes communicate directly.

[0030] Furthermore, the confidence threshold interval is set to,

[0031] After performing initial writing of monitoring data and power exchange data into its corresponding communication node and obtaining a first Poisson rate;

[0032] The initial writing is repeatedly performed without changing the writing data source to obtain multiple groups of first Poisson rates, and the extreme value intervals of the multiple groups of first Poisson rates are taken as the confidence threshold interval.

[0033] Furthermore, after the data diagnosis is performed, the diagnosed data is stored in an error correction log.

[0034] A second aspect of the present invention provides a system, comprising:

[0035] A first acquisition module is configured to acquire monitoring data from each power monitoring node;

[0036] A second acquisition module is configured to acquire communication response data of each power monitoring node;

[0037] A relay communication module is configured to be arranged between adjacent power monitoring nodes, and is also configured to set a communication market and an interval communication frequency between the communication connections and the power monitoring nodes;

[0038] The server is configured to obtain the monitoring data and the communication response data to establish a monitoring network and a simulation network, and calibrate the communication duration of the communication response data and the monitoring data;

[0039] The comparison module is configured to obtain the interval fit between the communication market of the monitoring data and the preset interval at the preset interval communication frequency, and obtain the state and predicted state of the power monitoring node.

[0040] The third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it is suitable for implementing the urban power grid data monitoring method provided by the first aspect of the present invention.

[0041] A third aspect of the present invention provides a storage medium having a computer program stored thereon, which, when executed by a processor, is suitable for implementing the urban power grid data monitoring method provided by the first aspect of the present invention.

[0042] The above technical solution of the present invention has the following advantages compared with the prior art:

[0043] The present invention constructs a communication link based on the communication response time from the perspective of data fitting of urban power equipment in a complex urban area, calculates the first Poisson rate with the response time distribution rate when writing data, and obtains the area with response distribution error by comparing the second Poisson rate when subsequently writing data with the first Poisson rate, so as to diagnose the urban power equipment from the perspective of big data storage.

[0044] The present invention first constructs a storage network related to the power system in the urban area, and for the urban power equipment participating in the storage in the storage network, calculates the fit of the power exchange area and the fit of the power exchange data between one urban power equipment and another or multiple urban power equipment, and then constructs a virtual cluster communication node to form a sub-link between the co-constructed communication node and the communication node formed by the urban power equipment. Since the fit of each urban power equipment to the target end of another urban power equipment is different, a communication link with fit participation is realized, and then the distribution probability (first Poisson rate) of the response time received by each cluster communication node is obtained by continuous initial data writing. If the data of the urban power equipment is no longer under the benchmark setting, its fit of the target end with the data of another urban power equipment will change, thereby causing the response time to change in the network, and on this premise, a change in the distribution probability (second Poisson rate) is formed. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of a system provided by an embodiment of the present invention.

[0046] Figure 2 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0048] Embodiment 1

[0049] This embodiment provides a method for monitoring urban power grid data. Figure 1 As shown, the following steps are included:

[0050] A first aspect of the present invention provides a method for monitoring urban power grid data, comprising the following steps:

[0051] Acquire monitoring data and communication data from multiple power monitoring nodes;

[0052] Build communication networks and simulation networks for power monitoring nodes,

[0053] Construct a communication node for communication data and set the communication duration of the communication node to each power monitoring node;

[0054] Obtaining a co-built communication node of the communication node by diffusion from one of the communication nodes to a preset interval node position on its communication link, and obtaining a target end fitting degree from the second data between the communication node and the co-built communication node,

[0055] The target end fitting degree is set to a fitting degree obtained according to the first region condition and the first data condition,

[0056] The first area condition is a target end area fit between a communication node and a corresponding co-built communication node;

[0057] The second area condition is the target end power exchange data fitting degree under the first area condition;

[0058] The cluster communication node is embedded between the communication links of multiple communication nodes to form a sub-link of the communication link, and the sub-link has the following settings:

[0059] If the clustered communication node is constructed based on the second data between two adjacent communication nodes, the sub-link is a proportionally divided link set for the communication link between the adjacent communication nodes;

[0060] If the clustered communication node is constructed based on the second data between two non-adjacent communication nodes, the sub-links are equally divided links set as the shortest communication links between the non-adjacent communication nodes, or

[0061] Proportional equal-divided links obtained by setting communication links that do not intersect with any associated communication links;

[0062] If the clustered communication node is constructed based on the second data of more than two communication nodes, the sub-links are proportionally divided links that do not intersect any of the associated communication links;

[0063] The proportional equally divided link is a link from the power monitoring node communication response to its corresponding communication node;

[0064] The communication response time of each sub-link is set to be the same.

[0065] The communication response time of the proportional equally divided link is set according to the fitting degree ratio of each communication node participating in the communication in the sub-link to the target end of the same co-built communication node;

[0066] Initially writing the monitoring data and power exchange data in the corresponding communication node into each of the power monitoring nodes, and when writing, sending a response signal from one power monitoring node to propagate to each power monitoring node through all sub-links, selecting different power monitoring nodes to send response signals multiple times to obtain the initial response time distribution rate of each power monitoring node, obtaining a first Poisson rate about the initial response time, and presetting a confidence threshold interval of the first Poisson rate;

[0067] The second Poisson rate is calculated when the power monitoring node writes new monitoring data and communication data,

[0068] Obtain the fault area and faulty urban power equipment in the confidence threshold interval according to the second Poisson rate;

[0069] The interval communication duration is obtained, and it is determined whether the monitoring data obtained within the interval communication duration is within a threshold. If not, an instantaneous fault is determined.

[0070] Furthermore, after obtaining the fault area and the faulty city power equipment according to the second Poisson rate, it also includes calculating multiple differences between the second Poisson rate and the first Poisson rate to obtain the distribution of the differences within a preset time period, that is, the difference Poisson distribution rate per unit time.

[0071] Furthermore, if the power monitoring node performs relay communication to more than one communication node, the following steps are also performed:

[0072] Setting a verification communication node between the two communication nodes to form a first sub-link and a second sub-link between the verification communication node and the two relay communication nodes;

[0073] The simulated communication duration of the first sub-link and the second sub-link is equal to the theoretical decay ratio when the two relay communication nodes communicate directly.

[0074] Furthermore, the confidence threshold interval is set to,

[0075] After performing initial writing of monitoring data and power exchange data into its corresponding communication node and obtaining a first Poisson rate;

[0076] The initial writing is repeatedly performed without changing the writing data source to obtain multiple groups of first Poisson rates, and the extreme value intervals of the multiple groups of first Poisson rates are taken as the confidence threshold interval.

[0077] Furthermore, after the data diagnosis is performed, the diagnosed data is stored in an error correction log.

[0078] A second aspect of the present invention provides a system, comprising:

[0079] A first acquisition module is configured to acquire monitoring data from each power monitoring node;

[0080] A second acquisition module is configured to acquire communication response data of each power monitoring node;

[0081] A relay communication module is configured to be arranged between adjacent power monitoring nodes, and is also configured to set a communication market and an interval communication frequency between the communication connections and the power monitoring nodes;

[0082] The server is configured to obtain the monitoring data and the communication response data to establish a monitoring network and a simulation network, and calibrate the communication duration of the communication response data and the monitoring data;

[0083] The comparison module is configured to obtain the interval fit between the communication market of the monitoring data and the preset interval at the preset interval communication frequency, and obtain the state and predicted state of the power monitoring node.

[0085] The present invention constructs a communication link based on the communication response time from the perspective of data fitting of urban power equipment in a complex urban area, calculates the first Poisson rate with the response time distribution rate when writing data, and obtains the area with response distribution error by comparing the second Poisson rate when subsequently writing data with the first Poisson rate, so as to diagnose the urban power equipment from the perspective of big data storage.

[0086] The present invention first constructs a storage network related to the power system in the urban area, and for the urban power equipment participating in the storage in the storage network, calculates the fit of the power exchange area and the fit of the power exchange data between one urban power equipment and another or multiple urban power equipment, and then constructs a virtual cluster communication node to form a sub-link between the co-constructed communication node and the communication node formed by the urban power equipment. Since the fit of each urban power equipment to the target end of another urban power equipment is different, a communication link with fit participation is realized, and then the distribution probability (first Poisson rate) of the response time received by each cluster communication node is obtained by continuous initial data writing. If the data of the urban power equipment is no longer under the benchmark setting, its fit of the target end with the data of another urban power equipment will change, thereby causing the response time to change in the network, and on this premise, a change in the distribution probability (second Poisson rate) is formed.

[0087] Embodiment 2

[0088] Combination Figure 2 As shown, an embodiment of the present disclosure provides a device including a processor 30 and a memory 31 .

[0089] Optionally, the device may further include a communication interface (CommunicationInterface) 32 and a bus 33. The processor 30, the communication interface 32, and the memory 31 may communicate with each other through the bus 33. The communication interface 32 may be used for information transmission. The processor 30 may call the logic instructions in the memory 31 to execute the urban power grid data monitoring method of the above embodiment.

[0090] An embodiment of the present disclosure provides a storage medium storing computer executable instructions, wherein the computer executable instructions are configured to execute the above-mentioned urban power grid data monitoring method.

[0091] The above-mentioned storage medium may be a transient computer-readable storage medium or a non-transient computer-readable storage medium. Non-transient storage media include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes, and may also be a transient storage medium.

[0092] The above description and accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent possible changes only. Unless explicitly required, separate components and functions are optional, and the order of operation may vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of listings containing one or more associated ones. In addition, when used in the present application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method or device comprising the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

Claims

1. A method for monitoring urban power grid data, characterized in that: The steps include: Acquire monitoring data and communication data from multiple power monitoring nodes; Build communication networks and simulation networks for power monitoring nodes, Construct a communication node for communication data and set the communication duration of the communication node to each power monitoring node; Obtaining a co-built communication node of the communication node by diffusion from one of the communication nodes to a preset interval node position on its communication link, and obtaining a target end fitting degree from the second data between the communication node and the co-built communication node, The target end fitting degree is set to a fitting degree obtained according to the first region condition and the first data condition, The first area condition is a target end area fit between a communication node and a corresponding co-built communication node; The second area condition is the target end power exchange data fitting degree under the first area condition; The cluster communication node is embedded between the communication links of multiple communication nodes to form a sub-link of the communication link, and the sub-link has the following settings: If the clustered communication node is constructed based on the second data between two adjacent communication nodes, the sub-link is a proportionally divided link set for the communication link between the adjacent communication nodes; If the clustered communication node is constructed based on the second data between two non-adjacent communication nodes, the sub-links are equally divided links set as the shortest communication links between the non-adjacent communication nodes, or Proportional equal-divided links obtained by setting communication links that do not intersect with any associated communication links; If the clustered communication node is constructed based on the second data of more than two communication nodes, the sub-links are proportionally divided links that do not intersect any of the associated communication links; The proportional equally divided link is a link from the power monitoring node communication response to its corresponding communication node; The communication response time of each sub-link is set to be the same. The communication response time of the proportional equally divided link is set according to the fitting ratio of each communication node participating in the communication in the sub-link to the target end of the same co-built communication node; Initially writing the monitoring data and power exchange data in the corresponding communication node into each of the power monitoring nodes, and when writing, sending a response signal from one power monitoring node to propagate to each power monitoring node through all sub-links, selecting different power monitoring nodes to send response signals multiple times to obtain the initial response time distribution rate of each power monitoring node, obtaining a first Poisson rate about the initial response time, and presetting a confidence threshold interval of the first Poisson rate; The second Poisson rate is calculated when the power monitoring node writes new monitoring data and communication data, Obtain the fault area and faulty urban power equipment in the confidence threshold interval according to the second Poisson rate; The interval communication duration is obtained, and it is determined whether the monitoring data obtained within the interval communication duration is within a threshold. If not, an instantaneous fault is determined.

2. The urban power grid data monitoring method according to claim 1, characterized in that: After obtaining the fault area and the erroneous city power equipment within the confidence threshold interval according to the second Poisson rate, it also includes calling the monitoring data from the communication node corresponding to the power monitoring node to perform data diagnosis.

3. The urban power grid data monitoring method according to claim 1, characterized in that: After obtaining the fault area and the faulty city power equipment according to the second Poisson rate, it also includes calculating multiple differences between the second Poisson rate and the first Poisson rate to obtain the distribution of the differences within a preset time period, that is, the difference Poisson distribution rate per unit time.

4. The urban power grid data monitoring method according to claim 1, characterized in that: If the power monitoring node performs relay communication to more than one communication node, the following steps are also performed: Setting a verification communication node between the two communication nodes to form a first sub-link and a second sub-link between the verification communication node and the two relay communication nodes; The simulated communication duration of the first sub-link and the second sub-link is equal to the theoretical decay ratio when the two relay communication nodes communicate directly.

5. The urban power grid data monitoring method according to claim 1, characterized in that: The confidence threshold interval is set to, After performing initial writing of monitoring data and power exchange data into its corresponding communication node and obtaining a first Poisson rate; The initial writing is repeatedly performed without changing the writing data source to obtain multiple groups of first Poisson rates, and the extreme value intervals of the multiple groups of first Poisson rates are taken as the confidence threshold interval.

6. The urban power grid data monitoring method according to claim 2, characterized in that: After data diagnosis is performed, the diagnosed data is stored in the error correction log.

7. Urban power grid data monitoring system, characterized in that: include: A first acquisition module is configured to acquire monitoring data from each power monitoring node; A second acquisition module is configured to acquire communication response data of each power monitoring node; A relay communication module is configured to be arranged between adjacent power monitoring nodes, and is also configured to set a communication market and an interval communication frequency between the communication connections and the power monitoring nodes; The server is configured to obtain the monitoring data and the communication response data to establish a monitoring network and a simulation network, and calibrate the communication duration of the communication response data and the monitoring data; The comparison module is configured to obtain the interval fit between the communication market of the monitoring data and the preset interval at the preset interval communication frequency, and obtain the state and predicted state of the power monitoring node.

8. An electronic device, characterized in that The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, it is suitable for implementing the urban power grid data monitoring method as described in any one of claims 1 to 6.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it is suitable for implementing the urban power grid data monitoring method as described in any one of claims 1-6.

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