A power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology

Abstract

The application discloses a power generation enterprise grid-connected communication operation and maintenance monitoring system based on a data cooperation technology, relates to the technical field of power grid equipment control, and comprises a deployment module, a connection module and a data conversion module.The deployment module is used for determining a power grid management range, determining a plurality of grid-connected devices in the power grid management range, and respectively deploying edge computing nodes corresponding to the plurality of grid-connected devices.The connection module is connected with the deployment module and is used for connecting the edge computing nodes corresponding to the plurality of grid-connected devices with an Internet of Things platform.The data conversion module is connected with the connection module, is used for collecting operation data of the grid-connected devices, converting the operation data through the edge computing nodes, and transmitting the converted operation data to a cloud end for storage.The application can perform abnormal analysis on accurate data after data conversion through integration of data by the Internet of Things platform, and thus accurate remote control of the grid-connected devices is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid equipment control, and particularly relates to a power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology. BACKGROUND

[0002] With the promotion of the intelligent transformation of the power industry, the scale and complexity of the grid-connected system of the power generation enterprise are continuously improved, higher requirements are put forward for the operation and maintenance monitoring of the grid-connected equipment, and at present, for a single grid-connected equipment (such as a generator, a transformer, etc.), a monitoring device is usually independently deployed, the monitoring data of each equipment is independently stored and analyzed, there is a lack of collaborative association between data, it is difficult to evaluate the equipment operation state from the overall perspective of the power grid, it is difficult to accurately analyze and understand the operation state of the grid-connected equipment, and thus the accuracy of the control of the grid-connected equipment cannot be improved. SUMMARY

[0003] The purpose of the present application is to provide a power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology to solve the problems in the background art.

[0004] In order to achieve the above-mentioned purpose, the present application provides the following technical scheme: a power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology, comprising:

[0005] A deployment module is used to determine a power grid management range, determine a plurality of grid-connected equipment in the power grid management range, and deploy an edge computing node corresponding to each of the plurality of grid-connected equipment.

[0006] A connection module is connected with the deployment module and is used to connect each edge computing node corresponding to the plurality of grid-connected equipment with an Internet of Things platform.

[0007] A data conversion module is connected with the connection module and is used to collect operation data of the grid-connected equipment, convert the operation data through the edge computing node, and transmit the converted operation data to a cloud for storage.

[0008] A judgment module is connected with the data conversion module and is used to determine whether the grid-connected equipment is abnormal according to a preset logical rule of the grid-connected equipment in the cloud, and remotely control the opening and closing of the abnormal grid-connected equipment through the Internet of Things platform.

[0009] In a preferred embodiment, the deployment module comprises:

[0010] An acquisition unit is used to determine a power grid distribution range and a power grid connection structure in the power grid distribution range as the power grid management range.

[0011] A construction unit is used to construct a management model according to the power grid management range.

[0012] A grid-connected deployment unit is configured to determine a plurality of grid-connected devices in a management model of grid management, and deploy a corresponding edge computing node for each of the plurality of grid-connected devices.

[0013] In a preferred embodiment, the connection module comprises:

[0014] A first building unit is configured to build a transmission agent for the edge computing node corresponding to the grid-connected device, wherein the transmission agent comprises a hidden space and a transmission end, and the hidden space is connected to the edge computing node and the transmission end, respectively.

[0015] A second building unit is configured to set an absorption end for the IoT platform, wherein the absorption end comprises an absorption space and a receiving end, and the absorption space is connected to the receiving end and the IoT platform, respectively.

[0016] A connection unit is configured to establish a communication channel between the transmission end of the edge computing node and the receiving end of the IoT platform.

[0017] In a preferred embodiment, the first building unit comprises:

[0018] A hiding unit is configured to connect the hidden space to the edge computing node, wherein the hidden space comprises a first data space and a basic data surface and a hidden data surface in the first data space, the basic data surface is composed of a plurality of sub-basic surfaces, the hidden data surface is composed of a plurality of sub-data surfaces connected, the storage capacity of the sub-basic surface is the same as that of the sub-data surface, and the basic data surface is composed of a data surface and invalid data stored in the data surface.

[0019] A first port connection unit is configured to connect the first data space to the transmission end.

[0020] In a preferred embodiment, the second building unit comprises:

[0021] A first absorption unit is configured to connect the absorption space to the IoT platform, wherein the absorption space comprises a second data space and a plurality of data blocks and a plurality of absorption blocks in the second data space, the number and storage capacity of the absorption blocks are the same as those of the sub-data surfaces in the hidden data surface, and the combination between the plurality of data blocks and the plurality of absorption blocks is the same as that of the basic data surface.

[0022] A corresponding connection unit is configured to establish a one-to-one correspondence between the absorption blocks and the plurality of sub-data surfaces and connect them.

[0023] A second port connection unit is configured to connect the second data space to the receiving end.

[0024] In a preferred embodiment, the data conversion module comprises:

[0025] The data acquisition unit is configured to acquire operation data of the grid-connected device based on the edge computing node, and perform standardized conversion on the operation data based on the edge computing node to obtain converted operation data.

[0026] The transmission unit is configured to store the converted operation data in the hidden data plane, fuse the hidden data plane and the basic data plane for transmission, and transmit the converted operation data to a receiving end of the Internet of Things platform until the converted operation data is absorbed by the absorption space and stored in the Internet of Things platform.

[0027] In a preferred embodiment, the transmission unit comprises:

[0028] The division unit is configured to divide the converted operation data according to the number of sub-data planes to obtain a plurality of sub-data segments, and move the positions of the sub-data planes to obtain a current hidden data plane.

[0029] The first delivery unit is configured to deliver the plurality of sub-data segments to the first data space and sequentially store the plurality of sub-data segments in the sub-data planes one by one.

[0030] The fusion unit is configured to fuse the current hidden data plane storing the plurality of sub-data segments with the basic data plane, delete invalid data in the sub-basic plane fused with the plurality of sub-data planes and replace the invalid data with the sub-data segments, and complete the fusion of the hidden data plane and the basic data plane.

[0031] The exchange unit is configured to transmit the fused hidden data plane and the basic data plane through a communication channel, provide corresponding positions to the absorption blocks through the plurality of sub-data planes in the communication channel during transmission, and exchange the positions of the data blocks according to the positions of the sub-data planes and the corresponding positions in the absorption blocks to obtain a plurality of absorption blocks of the corresponding hidden data plane.

[0032] The second delivery unit is configured to receive the fused hidden data plane and the basic data plane through the receiving end of the Internet of Things platform and deliver the hidden data plane and the basic data plane to the second data space.

[0033] The second absorption unit is configured to transmit the fused hidden data plane and the basic data plane with a plurality of data blocks and a plurality of absorption blocks, receive the hidden data plane through the plurality of absorption blocks of the corresponding hidden data plane, and block data of the basic data plane through the data blocks.

[0034] The combination unit is configured to extract the plurality of sub-data segments in the hidden data plane and sequentially combine the plurality of sub-data segments to obtain the converted operation data and store the converted operation data in the Internet of Things platform.

[0035] In a preferred embodiment, the judgment module comprises:

[0036] The setting unit is configured to set a corresponding preset logical rule for each of the plurality of grid-connected devices, wherein the preset logical rule comprises a preset voltage deviation limit range and a preset communication error rate range of the grid-connected device.

[0037] The judging unit is configured to take the grid-connected device corresponding to the operation data that does not meet the preset logical rule as an abnormal device and prompt in the management model and control the switch of the grid-connected device.

[0038] In the above technical solution, the present application provides technical effects and advantages as follows:

[0039] The present application can collect the operation data of the grid-connected device through the edge node set for the grid-connected device, and then understand the state of the grid-connected device in the power grid. Through the integration of the data by the Internet of Things platform, the accurate data after data conversion can be analyzed for abnormalities, and then the remote and accurate control of the grid-connected device can be realized, which is convenient for the operation and maintenance of the power grid equipment. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art based on these drawings.

[0041] Figure 1 The system block diagram of the present application. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0043] Embodiment 1, please refer to Figure 1 The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology described in this embodiment comprises:

[0044] The deployment module is configured to determine a power grid management range, determine a plurality of grid-connected devices in the power grid management range, and deploy edge computing nodes corresponding to the plurality of grid-connected devices.

[0045] The connection module is connected with the deployment module and is configured to connect the edge computing nodes corresponding to the plurality of grid-connected devices with the Internet of Things platform.

[0046] The data conversion module is connected with the connection module, is used for collecting operation data of the grid-connected device, converts the operation data through the edge computing node, and transmits the converted operation data to the cloud for storage.

[0047] The judgment module is connected with the data conversion module, is used for judging whether the grid-connected device is abnormal according to a preset logic rule of the grid-connected device in the cloud, and remotely controls opening and closing of the abnormal grid-connected device through the Internet of Things platform.

[0048] It should be noted that in the management of large-scale power grid, the state of the grid-connected device is one of the factors affecting the stability of the power grid. The grid-connected device includes real-time operation parameters such as voltage or current waveform, temperature, and switch state of devices such as inverters, transformers, and circuit breakers. The operation data of the grid-connected device can be collected through the edge node set for the corresponding grid-connected device, and then the state of the grid-connected device in the power grid can be understood. Through the integration of data by the Internet of Things platform, accurate data after data conversion can be analyzed for abnormalities, and then remote and accurate control of the grid-connected device can be realized, which is convenient for operation and maintenance of the power grid device.

[0049] In one embodiment, the deployment module includes:

[0050] The acquisition unit is used for determining a power grid distribution range and a power grid connection structure in the power grid distribution range as a power grid management range;

[0051] The construction unit is used for constructing a management model according to the power grid management range;

[0052] The grid-connected deployment unit is used for determining a plurality of grid-connected devices in the management model of the power grid management range, and respectively deploying corresponding edge computing nodes corresponding to the plurality of grid-connected devices;

[0053] It should be noted that the power grid is a large-scale kilovolt power grid, and when grid communication of power generation enterprises is needed, the grid communication range needs to be determined, which specifically includes the power grid distribution range and the power grid connection structure in the power grid distribution range as the power grid management range, the power grid distribution range is the geographical range involved by the power grid, and the power grid connection structure is the connection structure and mode of the wires and power grid equipment in the power grid. As the power grid management range, a wire model is then constructed on the map (three-dimensional construction is performed, for example, the wire here is a circular cross-section line, and a three-dimensional circular wire is constructed according to the feature), the wires are connected according to the power grid connection structure, and the geographical positions corresponding to the wires are marked on the map. In this way, the management model is obtained, the structure of the power grid can be more clearly and accurately understood, and then in order to perform grid communication of the power grid, the power grid equipment is first determined according to the management model, the power grid equipment is taken as the grid equipment, and then the corresponding edge computing nodes (for example, the edge computing nodes can be intelligent gateways) are respectively deployed on the corresponding grid equipment in the actual power grid. The edge computing nodes can be used to collect the operation data of the grid equipment subsequently.

[0054] In one embodiment, the connection module comprises:

[0055] The first building unit is configured to construct a transmission agent for the edge computing node corresponding to the grid equipment, wherein the transmission agent comprises a hidden space and a transmission end, and the hidden space is connected with the edge computing node and the transmission end respectively.

[0056] The second building unit is configured to set an absorption end for the IoT platform, wherein the absorption end comprises an absorption space and a receiving end, and the absorption space is connected with the receiving end and the IoT platform respectively.

[0057] The connection unit is configured to establish a communication channel between the transmission end of the edge computing node and the receiving end of the IoT platform.

[0058] In one embodiment, the first building unit comprises:

[0059] The hiding unit is configured to connect the hidden space for the edge computing node, wherein the hidden space comprises a first data space and a basic data surface and a hidden data surface in the first data space, the basic data surface is composed of a plurality of sub-basic surfaces, the hidden data surface is composed of a plurality of sub-data surfaces, the storage capacity of the sub-basic surface is the same as that of the sub-data surface, and the basic data surface is composed of a data surface and invalid data stored in the data surface.

[0060] The first port connection unit is configured to connect the first data space to the transmission end.

[0061] In one embodiment, the second building unit comprises:

[0062] The first absorption unit is used for connecting the absorption space corresponding to the Internet of Things platform, wherein the absorption space comprises a second data space and a plurality of data blocks and a plurality of absorption blocks in the second data space, the number of the absorption blocks is the same as that of the sub-data faces in the hidden data face and the storage capacity is the same, and the combination between the plurality of data blocks and the plurality of absorption blocks is the same as that of the basic data face.

[0063] The corresponding connection unit is used for establishing a one-to-one correspondence between the absorption blocks and the plurality of sub-data faces and connecting them.

[0064] The second port connection unit is used for connecting the second data space with the receiving end.

[0065] It should be noted that the edge computing node is a node for transmitting and networking subsequent operation data. First, in order to ensure the safety of subsequent operation data transmission, the edge computing node needs to be set. First, a data processing space (cloud storage unit or cloud server) is set as a first data space corresponding to the edge computing node. The basic data surface and the hidden data surface are set in the first data space. For example, the basic data surface is a data storage surface (a data storage surface existing in a virtual machine), the basic data surface is a data surface (a data space) for storing data, the sub-basic surface is equivalent to being divided on the data surface, (the sub-basic surface is another virtual machine set in a large virtual machine), and the plurality of sub-basic surfaces are the same. The hidden data surface is composed of a plurality of sub-data surfaces (virtual machines), and the plurality of sub-data surfaces are also deployed in a plane (a plurality of virtual machines are connected with each other and are in a plane data deployment state). However, the specific positional relationship can be changed. The change is the position of the virtual machine connection plane. In this way, the hidden data and the basic data surface can be fused subsequently, the function of the hidden data is achieved, and the hidden data in the hidden data surface is difficult to obtain in the process of transmission. The hidden data and the basic data surface are fused and transmitted at the transmission end. Then, the hidden data can be directly obtained by the absorption space at the receiving end. The specific setting is as follows: an absorption space is set at the Internet of Things platform position. The absorption space includes a second data space, a plurality of data blocks in the second data space, and a plurality of absorption blocks. The plurality of data blocks represent a data storage unit (a cloud storage device). The plurality of absorption blocks (cloud storage devices) are changed according to the position of the sub-data surface. The position of the data block and the absorption block can be changed. The data block and the absorption block are the same, and are data storage units. Each absorption block has a data receiving port. The plurality of data blocks do not have the ability to receive data, and are only used for position exchange with the absorption block. Because of the one-to-one correspondence and connection relationship between the absorption block and the plurality of sub-data surfaces, the position of the corresponding absorption block can be adjusted according to the position of the plurality of sub-data surfaces. The position of the absorption block and the data block is exchanged. The positional relationship of the plurality of absorption blocks is the same as the positional relationship of the plurality of sub-data surfaces. After the receiving end receives the operation data of the networking device and the invalid data stored in the data surface, the sub-data surface can be received, and the operation data can be extracted. In the process of transmission, the transmission safety of the operation data can be ensured, the accuracy of the data received by the Internet of Things platform can be ensured, the operation data can be obtained, and the safety of the power grid operation can be ensured.

[0066] In one embodiment, the data conversion module comprises:

[0067] The data acquisition unit is configured to acquire operation data of the grid-connected device based on the edge computing node, and perform standardized conversion on the operation data based on the edge computing node to obtain converted operation data.

[0068] The transmission unit is configured to store the converted operation data in the hidden data plane, fuse the hidden data plane and the basic data plane for transmission, and transmit the hidden data plane and the basic data plane to a receiving end of the Internet of Things platform until the converted operation data is absorbed by the absorption space and stored in the Internet of Things platform.

[0069] In one embodiment, the transmission unit includes:

[0070] The division unit is configured to divide the converted operation data according to the number of sub-data planes to obtain a plurality of sub-data segments, and change the positions of the sub-data planes to obtain a current hidden data plane.

[0071] The first delivery unit is configured to deliver the plurality of sub-data segments to the first data space and sequentially store the plurality of sub-data segments in the sub-data planes one by one.

[0072] The fusion unit is configured to fuse the current hidden data plane storing the plurality of sub-data segments with the basic data plane, delete invalid data in a sub-basic plane fused with the plurality of sub-data planes and replace the invalid data with the sub-data segments, and complete fusion of the hidden data plane and the basic data plane.

[0073] The exchange unit is configured to transmit the fused hidden data plane and the basic data plane through a communication channel, provide corresponding positions to absorption blocks through the plurality of sub-data planes in the communication channel during transmission, and exchange the positions of the data blocks according to the positions of the sub-data planes and the corresponding positions in the absorption blocks to obtain a plurality of absorption blocks of the corresponding hidden data plane.

[0074] The second delivery unit is configured to receive the fused hidden data plane and the basic data plane through the receiving end of the Internet of Things platform and deliver the hidden data plane and the basic data plane to the second data space.

[0075] The second absorption unit is configured to transmit the fused hidden data plane and the basic data plane with a plurality of data blocks and a plurality of absorption blocks, receive the hidden data plane through the plurality of absorption blocks of the corresponding hidden data plane, and block data of the basic data plane through the data blocks.

[0076] The combination unit is configured to extract the plurality of sub-data segments in the hidden data plane and sequentially combine the plurality of sub-data segments to obtain the converted operation data and store the converted operation data in the Internet of Things platform.

[0077] It should be noted that the edge computing node obtains the running data of the grid-connected device, the edge computing node converts the running data (analog quantity is numerical jump (such as temperature from 25℃ to -50℃), over-range (such as voltage display 1000V exceeds the rated value of the device), digital quantity is state false alarm (such as "switch closed" signal continues to be "on"), pulse loss (counting data is less or more)) to obtain the converted running data, and then the running data is standardized and converted for data cooperation to obtain the converted running data; the converted running data is divided into multiple sub-data segments according to the number of sub-data faces, the position of the sub-data face is changed after obtaining the multiple sub-data segments to obtain the current hiding data face, the position of the sub-data face in the hiding data face can be changed before each transmission to ensure the inconsistency of each transmission, which can better ensure the security of data transmission, facilitate accurate data acquisition of the subsequent grid-connected device, and improve the accurate control of the opening and closing of the grid-connected device. The multiple sub-data segments are put into the first data space and stored in the sub-data face in sequence one by one. Since the sub-data face and the sub-basic face have the same storage capacity, the current hiding data face storing the multiple sub-data segments is matched with the basic data face data, the invalid data in the sub-basic face matched with the multiple sub-data faces is deleted and replaced by the sub-data segment, which can hide the sub-data segment of the running data in the invalid data and complete the fusion of the hiding data face and the basic data face. The fused hiding data face and the basic data face are transmitted through the communication channel, and the corresponding positions of the multiple sub-data faces are provided to the absorption block in the transmission communication channel. Here, the position information is provided, so the data transmission after the fusion of the hiding data face and the basic data face is faster. The absorption block exchanges the position of the sub-data face with the corresponding data block to complete the advance arrangement of the absorption block position and obtain multiple absorption blocks corresponding to the hiding data face.The receiving end of the Internet of Things platform receives the fused hidden data plane and the basic data plane and puts them into the second data space; the fused hidden data plane and the basic data plane correspond to a plurality of data blocks and a plurality of absorption blocks, and the position of the sub-data plane corresponds to the position of the absorption block. The data block does not receive data, and the plurality of absorption blocks corresponding to the hidden data plane can receive the hidden data plane, and the data block can block the sub-basic plane to receive only the hidden data plane. The hidden data plane (here, the process of absorbing the converted running data through the absorption space) is received; a plurality of sub-data segments in the hidden data plane are extracted and sequentially combined to obtain the converted running data and store them in the Internet of Things platform, which can ensure the security of the information transmission of the grid-connected device, and the Internet of Things platform can obtain accurate data for accurate analysis, while avoiding the leakage of grid information caused by the acquisition of data of the grid-connected device by external networks, ensuring the transmission security of the grid data, and finally enabling the opening and closing control of the grid-connected device according to the accurate data, facilitating the subsequent grid operation and maintenance work.

[0078] In one embodiment, the judging module comprises:

[0079] The setting unit is configured to set a corresponding preset logical rule for each grid-connected device, wherein the preset logical rule comprises a preset voltage deviation limit range and a preset communication error rate range of the grid-connected device;

[0080] The judging unit is configured to identify the grid-connected device corresponding to the running data of the preset logical rule that does not meet the requirement as an abnormal device based on the association model, and prompt and control the opening and closing of the grid-connected device in the management model.

[0081] It should be noted that the voltage deviation limit range: for different types of grid-connected devices (such as generators, transformers, and inverters), different voltage deviation thresholds are set in combination with the rated parameters of the devices and the requirements of grid dispatching. For example, the allowable deviation range of the outlet voltage of the generator is ±5% of the rated value, and the voltage fluctuation range of the secondary side of the transformer can be widened to ±7%. The threshold is automatically adjusted according to the peak and valley periods of the grid and seasonal load changes (such as the high temperature period in summer, considering the influence of device temperature rise on insulation performance, the upper limit of voltage is appropriately tightened). The error rate standard is set according to the communication link type (optical fiber, wireless, and industrial Ethernet) and the transmission protocol (IEC61850 and ModbusTCP). For example, the error rate of optical fiber communication should be ≤10⁻ 9 , and the error rate of wireless 4G link should be ≤10⁻ 6For the transmission link of the key control instruction (such as the AGC adjustment signal), the association model between the devices is constructed based on the power grid topology structure and the device operation logic. The physical connection relationship, the functional dependency relationship and the operation parameter association relationship of the generator, the transformer, the circuit breaker and other devices are visualized modeling by using the knowledge graph technology. For example, when the output power of the generator changes, the influence on the connected transformer load and voltage is automatically analyzed through the association model, the coordinated evaluation of the device state is realized from the overall perspective of the power grid, and then the grid-connected device that does not conform to the preset logical rule is prompted as an abnormal device in the management model based on the association model, the comprehensive analysis of the data coordination can be realized, the state of the grid-connected device can be judged, the grid-connected device can be detected, and the subsequent abnormal operation and maintenance is facilitated.

[0082] The above merely illustrates the specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology, characterized in that, include: The deployment module is used to determine the power grid management scope, identify multiple grid-connected devices within the power grid management scope, and deploy edge computing nodes for each of the multiple grid-connected devices. The connection module connects to the deployment module and is used to connect the edge computing nodes corresponding to multiple grid-connected devices to the IoT platform. The connection module includes: The first building unit is used to build a transmission shooter for the edge computing node corresponding to the grid-connected device. The transmission shooter includes a hidden space and a transmission end. The hidden space is connected to the edge computing node and the transmission end respectively. The first assembly unit includes: The hiding unit is used to connect the hidden space to the corresponding edge computing node. The hidden space includes a first data space and a basic data surface and a hidden data surface in the first data space. The basic data surface is composed of multiple sub-basic surfaces, and the hidden data surface is composed of multiple sub-data surfaces connected together. The storage capacity of the sub-basic surfaces and the sub-data surfaces is the same. The basic data surface is composed of the data surface and the invalid data stored in the data surface. The first port connection unit is used to connect the first data space to the transmission end; The second building unit is used to set up an absorption end for the corresponding IoT platform. The absorption end includes an absorption space and a receiving end, and the absorption space is connected to the receiving end and the IoT platform respectively. The second assembly unit includes: The first absorption unit is used to connect to the absorption space of the corresponding IoT platform. The absorption space includes a second data space and multiple data blocks and multiple absorption blocks in the second data space. The number of absorption blocks is the same as the number of sub-data surfaces in the hidden data surface and the same storage capacity. The combination of multiple data blocks and multiple absorption blocks is the same as the basic data surface. The corresponding connection unit is used to establish a one-to-one correspondence between the absorption block and multiple sub-data planes and to connect them; The second port connection unit is used to connect the second data space to the receiving end; The connection unit is used to establish a communication channel between the transmitting end of the edge computing node and the receiving end of the IoT platform; The data conversion module, connected to the connection module, is used to collect the operating data of the grid-connected equipment, convert the operating data through the edge computing node, and transmit the converted operating data to the cloud for storage. The judgment module, connected to the data conversion module, is used to determine whether the grid-connected equipment is abnormal in the cloud according to the preset logic rules of the grid-connected equipment, and to remotely control the opening and closing of the abnormal grid-connected equipment through the Internet of Things platform.

2. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 1, characterized in that: The deployment module includes: The data acquisition unit is used to determine the power grid distribution range and the power grid connection structure within the power grid distribution range as the power grid management scope; Construction unit, used to build management model according to the power grid management scope; The grid-connected deployment unit is used to identify multiple grid-connected devices in the management model within the power grid management scope, and to deploy corresponding edge computing nodes for each of the multiple grid-connected devices.

3. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 1, characterized in that: The data conversion module includes: The data acquisition unit is used to acquire the operating data of grid-connected equipment based on edge computing nodes, and to perform standardized transformation on the operating data based on edge computing nodes to obtain the transformed operating data. The transmission unit is used to store the converted operational data in the hidden data plane, merge the hidden data plane with the basic data plane for transmission, and transmit it to the receiving end of the IoT platform. The converted operational data is absorbed and stored in the IoT platform through the absorption space.

4. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 3, characterized in that: The transmission unit includes: The partitioning unit is used to divide the transformed running data into multiple sub-data segments according to the number of sub-data surfaces, and to change the position of the sub-data surfaces to obtain the current hidden data surface. The first delivery unit is used to deliver multiple sub-data segments into the first data space and store them one-to-one in the sub-data plane in sequence. The fusion unit is used to attach the current hidden data surface, which stores multiple sub-data segments, to the basic data surface, delete invalid data in the sub-basic surface that is attached to multiple sub-data surfaces, and replace it with sub-data segments to complete the fusion of the hidden data surface and the basic data surface. The exchange unit is used to transmit the fused hidden data plane and the basic data plane through a communication channel. In the communication channel, multiple sub-data planes provide the corresponding positions to the absorption block. The absorption block exchanges positions with the data blocks at the corresponding positions according to the positions of the sub-data planes to obtain multiple absorption blocks of the corresponding hidden data plane. The second delivery unit is used to receive the fused hidden data plane and basic data plane through the receiving end of the Internet of Things platform and deliver them into the second data space. The second absorption unit is used to transmit the fused hidden data surface and the basic data surface to multiple data blocks and multiple absorption blocks. The hidden data surface can be received through the multiple absorption blocks corresponding to the hidden data surface, and the data blocks can block the data of the basic data surface to receive the hidden data surface. The combination unit is used to extract and sequentially combine multiple sub-data segments from the hidden data surface to obtain the transformed running data and store it in the Internet of Things platform.

5. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 1, characterized in that: The judgment module includes: The setting unit is used to set corresponding preset logic rules for multiple grid-connected devices. The preset logic rules include the preset voltage deviation limit range and the preset communication error rate range of the grid-connected devices. The judgment unit is used to identify grid-connected devices whose operating data does not conform to preset logic rules as abnormal devices, and to provide prompts and control the switching on and off of the grid-connected devices in the management model.

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