Multi-source information fusion power grid monitoring method and system

Abstract

The invention is suitable for the technical field of power grid monitoring, and particularly relates to a multi-source information fusion power grid monitoring method and system, and the method comprises the steps: S100, drawing a plane distribution diagram of a power grid line, positioning a test point, collecting the multi-source data at the test point through a preset field instrument, and storing the multi-source data at the test point; a fusion framework in one-to-one correspondence with the test points is established, the fusion framework comprises an acquisition layer and a monitoring layer, and an interface pre-constructed in the acquisition layer is opened to the field instrument; and S200, mounting a plurality of blocks in the monitoring layer, segmenting the multi-source data into the blocks through the interface, extracting features, and dynamically defining the importance of the features. According to the invention, by constructing a plurality of block chains and embedding a monitoring mode, a plurality of monitoring modes can be realized, the readability of a monitoring result is greatly improved, and the data analysis capability of a fusion architecture is enhanced, so that decision support is better provided for a user.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid monitoring, and in particular to a multi-source information fusion power grid monitoring method and system. Background Art

[0002] Grid monitoring is the key to ensuring the safe and stable operation of the power system. Through grid monitoring, the status of the power system can be understood in real time, and potential problems can be discovered and resolved in a timely manner. Specifically, the core of grid monitoring includes power load monitoring, fault detection and location, power quality monitoring, and equipment status monitoring.

[0003] Grid monitoring with multi-source information fusion is to monitor the grid by integrating and processing data and information from multiple different sources; specifically, multi-source information includes sensor data, smart meter readings, meteorological information, user electricity consumption data, and the operating status of grid equipment.

[0004] Therefore, “how to utilize multi-source information to perform multi-mode monitoring of the power grid” is the technical problem that the present invention needs to solve. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-source information fusion power grid monitoring method and system to solve the problem of "how to use multi-source information to monitor the power grid in multiple ways" raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A multi-source information fusion power grid monitoring method, the method comprising:

[0008] S100: Draw a plane distribution map of the power grid line and locate the test point, collect multi-source data at the test point by using the preset field instrument, and establish a fusion architecture corresponding to the test point one by one, wherein the fusion architecture includes: a collection layer and a monitoring layer, and open a pre-built interface in the collection layer to the field instrument;

[0009] S200: mounting a plurality of blocks to the monitoring layer, dividing the multi-source data into blocks via the interface, extracting features, dynamically defining the importance of the features, and arranging the blocks in descending order of importance;

[0010] S300: inserting a pointer into the sorted blocks, determining a threshold value of each feature in the blocks, linking all the blocks, generating a block chain, and embedding a monitoring mode into the block chain;

[0011] The monitoring mode is as follows: if the features in a block exceed the threshold, close the direction, cross the remaining blocks, and generate a monitoring report; if the features in a block do not exceed the threshold, traverse all blocks in turn, and fuse the features in the blocks according to the importance to create a dynamic monitoring panel;

[0012] S400: Integrate the monitoring report and the dynamic monitoring panel into the blockchain.

[0013] Furthermore, the S100 includes:

[0014] Marking nodes in the planar distribution diagram, wherein the nodes at least include: power transformation equipment, power distribution equipment, high-voltage transmission lines and power distribution lines;

[0015] The degree of influence of each of the nodes on the power grid is determined, and based on the degree of influence, test points are selected, and the number and type of field instruments at each of the test points are determined.

[0016] Furthermore, the S100 further includes:

[0017] Building an edge computing system, configuring a data link between the edge computing system and the collection layer, and migrating the multi-source data to the edge computing system via the interface and using the data link;

[0018] The edge computing system is used to preprocess multi-source data, and the preprocessing includes at least: data cleaning and denoising, and the preprocessed multi-source data is transferred to the fusion architecture.

[0019] Further, the S200 includes:

[0020] Separate the types of the multi-source data, and separate each type of multi-source data into a block, and trace back the source of the multi-source data in the block;

[0021] The generation time of the multi-source data is recorded, the type, generation time and source are integrated, a label is generated, and the label is inserted into a block.

[0022] Further, the S300 includes:

[0023] Mark the monitoring frequency of each digital block, determine whether the monitoring frequency is met at the current moment, and if so, activate the digital block;

[0024] Fill the features that exceed the threshold into the pre-built template to generate a monitoring report.

[0025] Furthermore, the S400 includes:

[0026] Constructing a chain block corresponding to the number of blocks, configuring an emergency disposal plan, and synchronizing it to the chain block;

[0027] All chain blocks are integrated to generate side chains, and the side chains are superimposed on the multi-block chain.

[0028] Furthermore, the method further comprises:

[0029] Opening the control authority of the node to the chain block, collecting the control parameters of the node, and adjusting the control parameters based on the emergency disposal plan;

[0030] Utilize the preset coordination mechanism to process all nodes in parallel and update the dynamic monitoring panel.

[0031] Furthermore, the system comprises:

[0032] The open module is used to draw a planar distribution map of the power grid line and locate the test point, collect multi-source data at the test point by using the preset field instrument, and establish a fusion architecture corresponding to the test point, wherein the fusion architecture includes: a collection layer and a monitoring layer, and opens the pre-built interface in the collection layer to the field instrument;

[0033] An arrangement module, used to mount a number of blocks to the monitoring layer, segment the multi-source data into blocks via the interface, extract features, dynamically define the importance of the features, and arrange the blocks in descending order of importance;

[0034] An embedding module, used to insert a pointer into the sorted blocks, determine a threshold value of each feature in the blocks, link all the blocks, generate a block chain, and embed a monitoring pattern into the block chain;

[0035] The monitoring mode is as follows: if the features in a block exceed the threshold, close the direction, cross the remaining blocks, and generate a monitoring report; if the features in a block do not exceed the threshold, traverse all blocks in turn, and fuse the features in the blocks according to the importance to create a dynamic monitoring panel;

[0036] An integration module is used to integrate the monitoring report and dynamic monitoring panel into the digital blockchain.

[0037] Furthermore, the open module includes:

[0038] A marking unit, used to mark nodes in the planar distribution map, wherein the nodes at least include: substation equipment, distribution equipment, high-voltage transmission lines and distribution lines;

[0039] A selection unit, used to determine the influence degree of each node on the power grid, select test points, and determine the number and type of field instruments at each test point;

[0040] A migration unit, used to build an edge computing system, configure a data link between the edge computing system and the collection layer, and migrate the multi-source data to the edge computing system via the interface and the data link;

[0041] The transfer unit is used to use the edge computing system to perform data cleaning and denoising on the multi-source data, determine the abnormal nodes in the nodes, and transfer the processed multi-source data into the fusion architecture.

[0042] Furthermore, the arrangement module includes:

[0043] A tracing unit, used to separate the types of the multi-source data, separate each type of multi-source data into a block, and trace back the source of the multi-source data in the block;

[0044] The inserting unit is used to record the generation time of the multi-source data, integrate the type, generation time and source, generate a label, and insert the label into the block.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] By building a fusion architecture, multi-source information can be processed in layers, which greatly improves the flexibility of the fusion architecture and optimizes resource utilization. It also greatly improves the processing efficiency of multi-source information and the efficiency of power grid monitoring. By building blocks, multi-source information can be split and processed in a specialized manner, effectively averaging data processing resources and further improving the data processing quality of power grid monitoring. By building a chain of blocks and embedding monitoring modes, multiple monitoring methods can be realized, which greatly improves the readability of monitoring results and enhances the data analysis capabilities of the fusion architecture, thereby providing better decision support for users. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A flowchart of a multi-source information fusion power grid monitoring method provided by an embodiment of the present invention;

[0048] Figure 2 A first sub-flow chart of the multi-source information fusion power grid monitoring method provided by an embodiment of the present invention;

[0049] Figure 3 A second sub-flow chart of the multi-source information fusion power grid monitoring method provided by an embodiment of the present invention;

[0050] Figure 4A third sub-flow chart of the power grid monitoring method of multi-source information fusion provided by an embodiment of the present invention;

[0051] Figure 5 A fourth sub-flow chart of the power grid monitoring method of multi-source information fusion provided by an embodiment of the present invention;

[0052] Figure 6 A block diagram of a power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention;

[0053] Figure 7 A block diagram of the composition of open modules in a power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention;

[0054] Figure 8 A block diagram of the composition of an arrangement module in a power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention;

[0055] Fig. 9 A block diagram of the components of the embedded modules in the power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention;

[0056] Fig.10 A block diagram of the composition of integrated modules in a power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] In Example 1, Figure 1 The implementation process of the power grid monitoring method of multi-source information fusion provided by the embodiment of the present invention is shown, and is described in detail below, as follows:

[0059] S100: Draw a plan distribution map of the power grid lines and locate the test points, collect multi-source data at the test points using preset field instruments, and establish a fusion architecture corresponding to the test points one by one, wherein the fusion architecture includes: a collection layer and a monitoring layer, and opens a pre-built interface in the collection layer to the field instruments.

[0060] Obtain the design drawings and technical documents of the power grid line, combine with the on-site survey, draw a plane distribution map of the power grid line, select the test points in the plane distribution map, and use the field instruments installed at the test points to collect multi-source data at the test points. The field instruments include: ammeters and voltmeters, and the multi-source data include: current data, voltmeters, transformer pressure and transformer temperature, etc.; at the same time, create a fusion architecture in each test point, where the fusion architecture is mainly divided into an acquisition layer and a monitoring layer. The acquisition layer is mainly used for the acquisition and preprocessing of multi-source data, and the monitoring layer is used to compare multi-source data and corresponding thresholds; build an interface in the acquisition layer, where the interface is mainly used to receive data uploaded by the field instruments and communicate within the fusion architecture.

[0061] S200: mount a number of blocks to the monitoring layer, segment the multi-source data into blocks via the interface, extract features, dynamically define the importance of the features, and arrange the blocks in descending order of importance.

[0062] The multi-source data is input into the collection layer, and then transferred to the monitoring layer through the interface; in the monitoring layer, the multi-source data is segmented into several blocks, and the features of the multi-source data in each block are extracted and sorted according to the importance of each feature.

[0063] For example, multi-source data from power grid monitoring is collected through load measurement equipment and smart meters. The collected multi-source data is collectively referred to as power grid load data, and several features are split and extracted, including: load curve, peak load, load factor and real-time load data, etc. These features are classified into several blocks respectively.

[0064] Each feature has a different degree of influence on the power grid. The greater the influence, the higher its importance. The logarithmic blocks are sorted according to their importance.

[0065] S300: inserting a pointer into the sorted blocks, determining a threshold value of each feature in the blocks, linking all the blocks, generating a block chain, and embedding a monitoring mode into the block chain;

[0066] The monitoring mode is as follows: if the features in a block exceed a threshold, close the direction, cross the remaining blocks, and generate a monitoring report; if the features in a block do not exceed the threshold, traverse all blocks in turn, and fuse the features in the blocks according to the importance to create a dynamic monitoring panel.

[0067] Insert pointers into the sorted blocks, link the blocks, and generate a block chain. The block chain can realize parallel processing and security management of multi-source data by linking multiple blocks together in a specific order or structure; determine the threshold of the features in each block, and embed the monitoring mode into the block chain; the specific monitoring mode is that if the features in the block exceed the threshold, close the pointers in the block, directly skip the remaining blocks, and generate a monitoring report. Skipping means skipping or ignoring; the advantage of this is that the monitoring results can be output quickly and the generation event of the monitoring report can be shortened. If the features in the block do not exceed the threshold, traverse all the blocks in turn, merge the features, create a dynamic monitoring panel, and continue to update the dynamic monitoring panel with the data in the existing instrument. The higher the importance, the higher the update frequency in the dynamic monitoring panel, and the more prominent the display position.

[0068] S400: Integrate the monitoring report and the dynamic monitoring panel into the blockchain.

[0069] The advantage of integrating monitoring reports and dynamic monitoring panels into the blockchain is that it can greatly improve the efficiency of real-time updating and synchronization of multi-source data, and facilitate the backtracking of multi-source data.

[0070] In Example 2, Figure 2 The implementation process of the power grid monitoring method of multi-source information fusion provided by an embodiment of the present invention is shown, and S100 is described in detail below, as follows:

[0071] S101: Marking nodes in the planar distribution map, wherein the nodes at least include: substation equipment, distribution equipment, high-voltage transmission lines and distribution lines.

[0072] Nodes are marked in the plane distribution diagram, where nodes are the equipment and lines in the power grid, including substation equipment and distribution lines.

[0073] S102: Determine the degree of influence of each node on the power grid, select test points based on the degree of influence, and determine the number and type of field instruments at each test point.

[0074] Determine the degree of influence of each node on the power grid. The higher the degree of influence of the node, the higher the importance of some features. Select the test points, and find the field instruments of each test point according to the plane distribution map, and count the number and types of field instruments.

[0075] In Example 3, Figure 2 The implementation process of the power grid monitoring method of multi-source information fusion provided by the embodiment of the present invention is shown, and S100 is further described in detail below, as follows:

[0076] S103: Building an edge computing system, configuring a data link between the edge computing system and the collection layer, and migrating the multi-source data to the edge computing system via the interface and using the data link.

[0077] Build an edge computing system, establish a data link between the edge computing system and the collection layer, input multi-source data into the collection layer, and then transfer it to the edge computing system through the data link, pre-process the multi-source data, and output the pre-processed multi-source data to the collection layer.

[0078] S104: Preprocess the multi-source data using the edge computing system, where the preprocessing includes at least data cleaning and denoising, and transfer the preprocessed multi-source data into the fusion architecture.

[0079] Use the edge computing system to preprocess multi-source data. The preprocessing steps include at least data cleaning, denoising, and unified format, and transfer the preprocessed multi-source data to the collection layer of the fusion architecture.

[0080] In Example 4, Figure 3 The implementation process of the power grid monitoring method of multi-source information fusion provided by an embodiment of the present invention is shown, and S200 is described in detail below, as follows:

[0081] S201: Separate the types of the multi-source data, and separate each type of multi-source data into a block, and trace back the source of the multi-source data in the block.

[0082] According to the field instruments corresponding to the multi-source data, the multi-source data are divided into several categories, each category of data is transferred into a block, and the corresponding field instruments are determined as the sources of the multi-source data.

[0083] S202: Record the generation time of the multi-source data, integrate the type, generation time and source, generate a label, and insert the label into a block.

[0084] Record the generation time of multi-source data, integrate the type, generation time and source, generate labels, and insert the labels into the data block.

[0085] In Example 5, Figure 4 The implementation process of the power grid monitoring method of multi-source information fusion provided by an embodiment of the present invention is shown, and S300 is described in detail below, as follows:

[0086] S301: Mark the monitoring frequency of each digital block, determine whether the monitoring frequency is met at the current moment, and if so, activate the digital block.

[0087] Mark the monitoring frequency of each digital block. In actual production, not every field instrument needs to maintain a consistent monitoring frequency. According to the specific working conditions, set a different monitoring frequency for each field instrument. If the monitoring frequency of the digital block is met at the current moment, activate the digital block and use the field instrument to collect the corresponding power grid data.

[0088] S302: Fill the features exceeding the threshold into the pre-built template to generate a monitoring report.

[0089] Fill in the features that exceed the threshold into the pre-built template and generate a monitoring report.

[0090] In Example 6, Figure 5 The implementation process of the power grid monitoring method of multi-source information fusion provided by the embodiment of the present invention is shown, and S400 is described in detail below, as follows:

[0091] S401: construct a chain block corresponding to the number blocks one by one, configure an emergency disposal plan, and synchronize it to the chain block.

[0092] Construct chain blocks corresponding to the digital blocks one by one, where the chain blocks are mainly used to store emergency response plans, and when the features in the corresponding digital blocks exceed the threshold, the emergency response plans are activated in time.

[0093] S402: Integrate all chain blocks, generate side chains, and superimpose the side chains into the multi-block chain.

[0094] Integrate all chain blocks, generate side chains, and superimpose the side chains into the digital chain. By setting up the side chains, the digital blocks can be monitored, and the field instruments can be adjusted in time according to the monitoring results.

[0095] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:

[0096] Opening the control authority of the node to the chain block, collecting the control parameters of the node, and adjusting the control parameters based on the emergency disposal plan;

[0097] Utilize the preset coordination mechanism to process all nodes in parallel and update the dynamic monitoring panel.

[0098] Open the control authority of the node to the chain block, collect the control parameters of the node, adjust the control parameters according to the emergency response plan, and process all nodes in parallel according to the coordination mechanism, re-collect multi-source data, and update the dynamic monitoring panel. The coordination mechanism is the specific way to adjust the control parameters in the emergency response plan.

[0099] Figure 6The structure block diagram of the power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention is shown. The power grid monitoring system for multi-source information fusion 1 includes:

[0100] The open module 11 is used to draw a plane distribution map of the power grid line and locate the test point, collect multi-source data at the test point by using the preset field instrument, and establish a fusion architecture corresponding to the test point one by one, wherein the fusion architecture includes: a collection layer and a monitoring layer, and opens the pre-built interface in the collection layer to the field instrument;

[0101] An arrangement module 12 is used to mount a number of blocks to the monitoring layer, segment the multi-source data into blocks via the interface, extract features, dynamically define the importance of the features, and arrange the blocks in descending order of importance;

[0102] The embedding module 13 is used to insert a direction into the arranged blocks, determine the threshold of each feature in the blocks, link all the blocks, generate a block chain, and embed a monitoring pattern into the block chain;

[0103] The monitoring mode is as follows: if the features in a block exceed the threshold, close the direction, cross the remaining blocks, and generate a monitoring report; if the features in a block do not exceed the threshold, traverse all blocks in turn, and fuse the features in the blocks according to the importance to create a dynamic monitoring panel;

[0104] The integration module 14 is used to integrate the monitoring report and the dynamic monitoring panel into the blockchain.

[0105] Figure 7 The structure block diagram of the power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention is shown, and the open module 11 includes:

[0106] A marking unit 111, used to mark nodes in the planar distribution diagram, wherein the nodes at least include: substation equipment, distribution equipment, high-voltage transmission lines and distribution lines;

[0107] A selection unit 112, used to determine the influence degree of each node on the power grid, select test points, and determine the number and type of field instruments at each test point;

[0108] A migration unit 113 is used to build an edge computing system, configure a data link between the edge computing system and the collection layer, and migrate the multi-source data to the edge computing system via the interface and the data link;

[0109] The transfer unit 114 is used to use the edge computing system to perform data cleaning and denoising on the multi-source data, determine abnormal nodes in the nodes, and transfer the processed multi-source data into the fusion architecture.

[0110] Figure 8 The structure block diagram of the power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention is shown, and the arrangement module 12 includes:

[0111] The tracing unit 121 is used to separate the types of the multi-source data, and separate each type of multi-source data into a block, and trace back the source of the multi-source data in the block;

[0112] The inserting unit 122 is used to record the generation time of the multi-source data, integrate the type, generation time and source, generate a label, and insert the label into the data block.

[0113] Fig. 9 The structure block diagram of the power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention is shown, and the embedded module 13 includes:

[0114] An activation unit 131 is used to mark the monitoring frequency of each number block, determine whether the monitoring frequency is met at the current moment, and if so, activate the number block;

[0115] The filling unit 132 is used to fill the features exceeding the threshold into the pre-built template to generate a monitoring report.

[0116] Fig.10 The structure block diagram of the power grid monitoring system for multi-source information fusion provided by an embodiment of the present invention is shown, and the integration module 14 includes:

[0117] A synchronization unit 141, used to construct a chain block corresponding to the digital blocks one by one, configure an emergency disposal plan, and synchronize it to the chain block;

[0118] The superposition unit 142 is used to integrate all chain blocks, generate side chains, and superimpose the side chains into the multi-block chain.

[0119] The open module 11 is mainly used to complete step S100, the arrangement module 12 is mainly used to complete step S200, the embedding module 13 is mainly used to complete step S300, and the integration module 14 is mainly used to complete step S400;

[0120] The marking unit 111 is mainly used to complete step S101, the selecting unit 112 is mainly used to complete step S102, the migrating unit 113 is mainly used to complete step S103, and the transferring unit 114 is mainly used to complete step S104;

[0121] The tracing unit 121 is mainly used to complete step S201, and the inserting unit 122 is mainly used to complete step S202;

[0122] The activation unit 131 is mainly used to complete step S301, and the filling unit 132 is mainly used to complete step S302;

[0123] The synchronization unit 141 is mainly used to complete step S401, and the superposition unit 142 is mainly used to complete step S402.

[0124] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0125] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0126] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A multi-source information fusion power grid monitoring method, characterized in that: The method comprises: S100: Draw a plane distribution map of the power grid line and locate the test point, collect multi-source data at the test point by using a preset field instrument, and establish a fusion architecture corresponding to the test point one by one, wherein the fusion architecture includes: a collection layer and a monitoring layer, and open a pre-built interface in the collection layer to the field instrument; S200: mounting a plurality of blocks to the monitoring layer, dividing the multi-source data into blocks via the interface, extracting features, dynamically defining the importance of the features, and arranging the blocks in descending order of importance; S300: inserting a pointer into the sorted blocks, determining a threshold of a feature in the blocks, linking all the blocks, generating a block chain, and embedding a monitoring pattern into the block chain; The monitoring mode is as follows: if the features in a block exceed the threshold, close the direction, cross the remaining blocks, and generate a monitoring report; if the features in a block do not exceed the threshold, traverse all blocks in turn, and fuse the features in the blocks according to the importance to create a dynamic monitoring panel; S400: Integrate the monitoring report and the dynamic monitoring panel into the blockchain.

2. The power grid monitoring method of multi-source information fusion according to claim 1 is characterized in that: The S100 includes: Marking nodes in the planar distribution diagram, wherein the nodes at least include: power transformation equipment, power distribution equipment, high-voltage transmission lines and power distribution lines; The degree of influence of each of the nodes on the power grid is determined, and based on the degree of influence, test points are selected, and the number and type of field instruments at each of the test points are determined.

3. The power grid monitoring method of multi-source information fusion according to claim 1 is characterized in that: The S100 further includes: Building an edge computing system, configuring a data link between the edge computing system and the collection layer, and migrating the multi-source data to the edge computing system via the interface and using the data link; The edge computing system is used to preprocess multi-source data, and the preprocessing includes at least: data cleaning and denoising, and the preprocessed multi-source data is transferred to the fusion architecture.

4. The power grid monitoring method of multi-source information fusion according to claim 3 is characterized in that: The S200 includes: Separate the types of the multi-source data, and separate each type of multi-source data into a block, and trace back the source of the multi-source data in the block; The generation time of the multi-source data is recorded, the type, generation time and source are integrated, a label is generated, and the label is inserted into a block.

5. The power grid monitoring method of multi-source information fusion according to claim 4 is characterized in that: The S300 includes: Mark the monitoring frequency of each digital block, determine whether the monitoring frequency is met at the current moment, and if so, activate the digital block; Fill the features that exceed the threshold into the pre-built template to generate a monitoring report.

6. The power grid monitoring method of multi-source information fusion according to claim 5, characterized in that: The S400 includes: Constructing a chain block corresponding to the number of blocks, configuring an emergency disposal plan, and synchronizing it to the chain block; All chain blocks are integrated to generate side chains, and the side chains are superimposed on the multi-block chain.

7. The power grid monitoring method of multi-source information fusion according to claim 6, characterized in that: The method further comprises: Opening the control authority of the node to the chain block, collecting the control parameters of the node, and adjusting the control parameters based on the emergency disposal plan; Utilize the preset coordination mechanism to process all nodes in parallel and update the dynamic monitoring panel.

8. A multi-source information fusion power grid monitoring system, characterized in that: The system comprises: The open module is used to draw a planar distribution map of the power grid line and locate the test point, collect multi-source data at the test point by using the preset field instrument, and establish a fusion architecture corresponding to the test point, wherein the fusion architecture includes: a collection layer and a monitoring layer, and opens the pre-built interface in the collection layer to the field instrument; An arrangement module, used to mount a number of blocks to the monitoring layer, segment the multi-source data into blocks via the interface, extract features, dynamically define the importance of the features, and arrange the blocks in descending order of importance; An embedding module, used to insert a pointer into the sorted blocks, determine a threshold value of each feature in the blocks, link all the blocks, generate a block chain, and embed a monitoring pattern into the block chain; The monitoring mode is as follows: if the features in a block exceed the threshold, close the direction, cross the remaining blocks, and generate a monitoring report; if the features in a block do not exceed the threshold, traverse all blocks in turn, and fuse the features in the blocks according to the importance to create a dynamic monitoring panel; An integration module is used to integrate the monitoring report and dynamic monitoring panel into the digital blockchain.

9. The multi-source information fusion power grid monitoring system according to claim 8, wherein the open module comprises: A marking unit, used to mark nodes in the planar distribution map, wherein the nodes at least include: substation equipment, distribution equipment, high-voltage transmission lines and distribution lines; A selection unit, used to determine the influence degree of each node on the power grid, select test points, and determine the number and type of field instruments at each test point; A migration unit, used to build an edge computing system, configure a data link between the edge computing system and the collection layer, and migrate the multi-source data to the edge computing system via the interface and the data link; The transfer unit is used to use the edge computing system to perform data cleaning and denoising on the multi-source data, determine the abnormal nodes in the nodes, and transfer the processed multi-source data into the fusion architecture.

10. The multi-source information fusion power grid monitoring system according to claim 9, wherein the arrangement module comprises: A tracing unit, used to separate the types of the multi-source data, separate each type of multi-source data into a block, and trace back the source of the multi-source data in the block; The inserting unit is used to record the generation time of the multi-source data, integrate the type, generation time and source, generate a label, and insert the label into the block.

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