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

Abstract

The invention discloses a power generation enterprise grid-connected communication operation and maintenance monitoring system based on a data collaboration technology, and relates to the technical field of power grid equipment control. A 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 deploying edge computing nodes corresponding to the plurality of grid-connected devices; a connection module connected with the deployment module and used for connecting the edge computing nodes corresponding to the plurality of grid-connected devices with the Internet of Things platform; and the data conversion module is connected with the connection module, and is used for collecting the operation data of the grid-connected equipment, converting the operation data through an edge computing node, and transmitting the converted operation data to a cloud for storage. According to the invention, the data is integrated through the Internet of Things platform, and the abnormal analysis can be carried out on the accurate data after data conversion, so that the accurate remote control of the grid-connected equipment is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid equipment control, and in particular to a grid-connected communication operation and maintenance monitoring system for power generation enterprises based on data collaboration technology. Background Art

[0002] With the advancement of the intelligent transformation of the power industry, the scale and complexity of power generation companies' grid-connected systems have continued to increase, which has put higher requirements on the operation and maintenance monitoring of grid-connected equipment. At present, monitoring devices are usually deployed independently for individual grid-connected equipment (such as generators, transformers, etc.), and the monitoring data of each device is stored and analyzed independently. There is a lack of collaborative correlation between data, making it difficult to evaluate the operating status of equipment from the overall perspective of the power grid, and it is difficult to accurately analyze and understand the operating status of grid-connected equipment, and thus it is impossible to improve the accuracy of control of grid-connected equipment. Summary of the Invention

[0003] The purpose of the present invention is to provide a grid-connected communication operation and maintenance monitoring system for power generation enterprises based on data collaboration technology to address the shortcomings of the background technology.

[0004] To achieve the above objectives, the present invention provides the following technical solutions: a grid-connected communication operation and maintenance monitoring system for power generation enterprises based on data collaboration technology, comprising:

[0005] A deployment module is used to determine the grid management scope, identify multiple grid-connected devices within the grid management scope, and deploy edge computing nodes corresponding to the multiple grid-connected devices.

[0006] The connection module is connected to the deployment module and is used to connect the edge computing nodes corresponding to multiple grid-connected devices to the IoT platform;

[0007] The data conversion module is connected to the connection module and 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;

[0008] The judgment module is connected to the data conversion module and is used to judge whether the grid-connected equipment is abnormal according to the preset logical rules 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 includes:

[0010] A collection unit, 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 range;

[0011] A construction unit, used for constructing a management model according to the power grid management scope;

[0012] The grid-connected deployment unit is used to determine multiple grid-connected devices in the management model of the power grid management scope, and deploy corresponding edge computing nodes corresponding to the multiple grid-connected devices.

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

[0014] The first building unit is used to build a transmission shooter corresponding to the edge computing node corresponding to the grid-connected device, wherein the transmission shooter includes a hidden space and a transmission end, and the hidden space is connected to the edge computing node and the transmission end respectively;

[0015] The second building unit is used to set an absorbing end corresponding to the Internet of Things platform, wherein the absorbing end includes an absorbing space and a receiving end, and the absorbing space is connected to the receiving end and the Internet of Things platform respectively;

[0016] The connection unit is used to establish a communication channel between the transmission end of the edge computing node and the receiving end of the Internet of Things platform.

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

[0018] A hiding unit, configured to connect a hidden space to a corresponding edge computing node, wherein the hidden space includes a first data space and a basic data plane and a hidden data plane in the first data space, wherein the basic data plane is composed of multiple sub-basic planes, and the hidden data plane is composed of multiple sub-data planes connected together, and the sub-basic planes and sub-data planes have the same storage capacity, and the basic data plane is composed of the data plane and invalid data stored in the data plane;

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

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

[0021] An absorbing unit, configured to connect to an absorbing space corresponding to the IoT platform, wherein the absorbing space includes the second data space, a plurality of data blocks in the second data space, and a plurality of absorbing blocks. The number of absorbing blocks is the same as the number of sub-data planes in the hidden data plane and the storage capacity is the same. The combination of the plurality of data blocks and the plurality of absorbing blocks is the same as that of the basic data plane.

[0022] A corresponding connection unit, used to establish a one-to-one correspondence between the absorbing block and the multiple sub-data surfaces and connect them;

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

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

[0025] A data acquisition unit is used to obtain operating data of the grid-connected equipment based on the edge computing node, and perform standardized conversion on the operating data based on the edge computing node to obtain the converted operating data;

[0026] The transmission unit is used to store the converted operating 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 Internet of Things platform. The converted operating data is absorbed by the absorption space and stored in the Internet of Things platform.

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

[0028] a dividing unit for dividing the converted running data into a plurality of sub-data segments according to the number of sub-data planes, and changing the position of the sub-data planes to obtain the current hidden data plane;

[0029] A 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;

[0030] A fusion unit is configured to align the current hidden data plane storing multiple sub-data segments with the base data plane data, delete invalid data in the sub-base plane aligned with the multiple sub-data planes and replace it with the sub-data segments, thereby completing the fusion of the hidden data plane and the base data plane;

[0031] an exchange unit, configured to transmit the fused hidden data plane and the basic data plane via a communication channel, and provide corresponding positions to an absorbing block via multiple sub-data planes in the transmitted communication channel. The absorbing block exchanges positions with the data blocks at corresponding positions according to the positions of the sub-data planes, thereby obtaining multiple absorbing blocks corresponding to the hidden data plane;

[0032] A second delivery unit is configured to receive the fused hidden data plane and basic data plane through a receiving end of the Internet of Things platform and deliver them into a second data space;

[0033] An absorbing unit, configured to transmit the fused hidden data plane to the basic data plane, multiple data blocks, and multiple absorbing blocks, receive the hidden data plane through the multiple absorbing blocks corresponding to the hidden data plane, block data on the basic data plane through the data blocks, and receive the hidden data plane;

[0034] The combining unit is used to extract and sequentially combine multiple sub-data segments in the hidden data plane to obtain the converted operating data and store it in the Internet of Things platform.

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

[0036] A setting unit, configured to set corresponding preset logic rules for each of the plurality of grid-connected devices, wherein the preset logic rules include a preset voltage deviation limit range and a preset communication bit error rate range of the grid-connected devices;

[0037] The judgment unit is used to treat the grid-connected equipment corresponding to the operation data that does not comply with the preset logical rules as an abnormal equipment, prompt it in the management model, and control the switching of the grid-connected equipment.

[0038] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0039] The present invention can collect the operating data of the grid-connected equipment through the edge nodes set corresponding to the grid-connected equipment, and then understand the status of the grid-connected equipment in the power grid. By integrating the data through the Internet of Things platform, it can perform abnormal analysis on the accurate data after data conversion, and then realize remote and accurate control of the grid-connected equipment, which is convenient for the operation and maintenance of the power grid equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0041] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0043] Example 1, please refer to Figure 1 As shown, the present embodiment describes a power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology, including:

[0044] A deployment module is used to determine the grid management scope, identify multiple grid-connected devices within the grid management scope, and deploy edge computing nodes corresponding to the multiple grid-connected devices.

[0045] The connection module is connected to the deployment module and is used to connect the edge computing nodes corresponding to multiple grid-connected devices to the IoT platform;

[0046] The data conversion module is connected to the connection module and 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;

[0047] The judgment module is connected to the data conversion module and is used to judge whether the grid-connected equipment is abnormal according to the preset logical rules 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.

[0048] It should be noted that in the management of large-scale power grids, the status of grid-connected equipment is one of the factors affecting the stability of the power grid. Grid-connected equipment includes real-time operating parameters such as voltage or current waveforms, temperatures, and switch states of inverters, transformers, circuit breakers, and other equipment. The operating data of the grid-connected equipment can be collected through the edge nodes set up for the corresponding grid-connected equipment to understand the status of the grid-connected equipment in the power grid. By integrating the data through the Internet of Things platform, anomaly analysis can be performed on the accurate data after data conversion, thereby realizing remote and accurate control of the grid-connected equipment, facilitating the operation and maintenance of the power grid equipment.

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

[0050] A collection unit, 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 range;

[0051] A construction unit, used for constructing a management model according to the power grid management scope;

[0052] A grid-connected deployment unit, configured to determine a plurality of grid-connected devices in a management model within a power grid management scope, and deploy 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. When grid-connected communication of power generation enterprises is required, the scope of the grid connection needs to be determined, specifically including the grid distribution range and the grid connection structure within the grid distribution range as the grid management range. The grid distribution range here is the geographical range involved in the grid, and the grid connection structure is the connection structure and method of the conductors and grid equipment in the grid. It is then used as the grid management range. Then, with the map as the base, a model of the conductor is constructed on the map (three-dimensional construction is performed. For example, the conductor here is a line of a circular section, and a three-dimensional circular conductor is constructed here based on this feature). The conductors are connected according to the grid connection structure and marked on the map according to the geographical location corresponding to the conductors. In this way, a management model is obtained, which can more clearly and accurately understand the structure of the grid. Later, in order to carry out grid-connected communication of the grid, the grid equipment is first determined according to the management model, and the grid equipment is used as the grid-connected equipment. Then, the corresponding edge computing nodes are deployed on the corresponding grid-connected equipment in the actual grid (for example, the edge computing node can be an intelligent gateway), which can then be used for subsequent collection of operating data of the grid-connected equipment.

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

[0055] The first building unit is used to build a transmission shooter corresponding to the edge computing node corresponding to the grid-connected device, wherein the transmission shooter includes a hidden space and a transmission end, and the hidden space is connected to the edge computing node and the transmission end respectively;

[0056] The second building unit is used to set an absorbing end corresponding to the Internet of Things platform, wherein the absorbing end includes an absorbing space and a receiving end, and the absorbing space is connected to the receiving end and the Internet of Things platform respectively;

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

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

[0059] A hiding unit, configured to connect a hidden space to a corresponding edge computing node, wherein the hidden space includes a first data space and a basic data plane and a hidden data plane in the first data space, wherein the basic data plane is composed of multiple sub-basic planes, and the hidden data plane is composed of multiple sub-data planes connected together, and the sub-basic planes and sub-data planes have the same storage capacity, and the basic data plane is composed of the data plane and invalid data stored in the data plane;

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

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

[0062] An absorbing unit, configured to connect to an absorbing space corresponding to the IoT platform, wherein the absorbing space includes the second data space, a plurality of data blocks in the second data space, and a plurality of absorbing blocks. The number of absorbing blocks is the same as the number of sub-data planes in the hidden data plane and the storage capacity is the same. The combination of the plurality of data blocks and the plurality of absorbing blocks is the same as that of the basic data plane.

[0063] A corresponding connection unit, used to establish a one-to-one correspondence between the absorbing block and the multiple sub-data surfaces and connect them;

[0064] The second port connection unit is used to connect the second data space to the receiving end.

[0065] It should be noted that the edge computing node is the node for subsequent transmission of grid-connected equipment operation data. First, in order to ensure the security of subsequent operation data transmission, the edge computing node needs to be set up. First, a data processing space (either a cloud storage unit or a cloud server) is set up for the corresponding edge computing node as the first data space, and a basic data plane and a hidden data plane are set up in the first data space. For example, the basic data plane is a data storage plane (the data storage plane existing in the virtual machine), the basic data plane is a data plane (data space) for storing data, and the sub-basic plane is equivalent to the division obtained on the data plane (the sub-basic plane is another virtual machine set up in the large virtual machine), and multiple sub-basic planes are provided. The basic plane is the same, and the hidden data plane is composed of multiple sub-data planes (virtual machines). Multiple sub-data planes are also deployed in a plane (multiple virtual machines are connected to each other in a plane data deployment state), but the specific position relationship can be changed. What changes is the location of the virtual machine connection plane, so that the hidden data can be subsequently integrated with the basic data plane to play the role of hiding data and avoid being obtained by external networks during transmission. After the basic data plane and the hidden data plane are obtained from the external network, the data in the virtual machine is automatically integrated in sequence, so that the subsequent running data in the hidden data plane will be hidden in the invalid data and difficult to obtain. The data is integrated and transmitted with the basic data plane, then the hidden data can be directly obtained at the receiving end through the absorption space. The specific setting is: the absorption space is set at the location of the Internet of Things platform. The absorption space includes the second data space and multiple data blocks in the second data space and multiple absorption blocks. The multiple data blocks here represent a data storage unit (cloud storage). The multiple absorption blocks (cloud storage) are subsequently changed according to the position of the sub-data plane. The position of the data block and the absorption block can be changed. The data block and the absorption block are the same. They are both data storage units. Each absorption block has a data receiving port. Multiple data blocks do not have the ability to receive data and are only used to exist in the same position as the absorption block. The role of position exchange is that due to the one-to-one correspondence and connection between the absorbing block and the multiple sub-data planes, the position of the corresponding absorbing block can be adjusted one by one according to the positions of the multiple sub-data planes, and the positions of the absorbing block and the data block are exchanged. In this way, the position relationship of the multiple absorbing blocks is the same as the position relationship of the multiple sub-data planes. In this way, after the operating data of the grid-connected equipment and the invalid data stored in the data plane are received by the receiving end, the sub-data planes can be received and the operating data therein can be extracted. During the transmission process, the transmission security of the operating data can be guaranteed, and the accuracy of the data received by the Internet of Things platform can be guaranteed, thereby preventing the operating data from being obtained and ensuring the safety of the power grid operation.

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

[0067] A data acquisition unit is used to obtain operating data of the grid-connected equipment based on the edge computing node, and perform standardized conversion on the operating data based on the edge computing node to obtain the converted operating data;

[0068] The transmission unit is used to store the converted operating 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 Internet of Things platform. The converted operating data is absorbed by the absorption space and stored in the Internet of Things platform.

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

[0070] a dividing unit for dividing the converted running data into a plurality of sub-data segments according to the number of sub-data planes, and changing the position of the sub-data planes to obtain the current hidden data plane;

[0071] A 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;

[0072] A fusion unit is configured to align the current hidden data plane storing multiple sub-data segments with the base data plane data, delete invalid data in the sub-base plane aligned with the multiple sub-data planes and replace it with the sub-data segments, thereby completing the fusion of the hidden data plane and the base data plane;

[0073] an exchange unit, configured to transmit the fused hidden data plane and the basic data plane via a communication channel, and provide corresponding positions to an absorbing block via multiple sub-data planes in the transmitted communication channel. The absorbing block exchanges positions with the data blocks at corresponding positions according to the positions of the sub-data planes, thereby obtaining multiple absorbing blocks corresponding to the hidden data plane;

[0074] A second delivery unit is configured to receive the fused hidden data plane and basic data plane through a receiving end of the Internet of Things platform and deliver them into a second data space;

[0075] An absorbing unit, configured to transmit the fused hidden data plane to the basic data plane, multiple data blocks, and multiple absorbing blocks, receive the hidden data plane through the multiple absorbing blocks corresponding to the hidden data plane, block the basic data plane through the data blocks, and receive the hidden data plane (here, the process of absorbing the converted running data through the absorbing space);

[0076] The combining unit is used to extract and sequentially combine multiple sub-data segments in the hidden data plane to obtain the converted operating data and store it in the Internet of Things platform.

[0077] It should be noted that the operating data of the grid-connected equipment is obtained based on the edge computing node, and the operating data (analog quantity is a numerical jump (such as the temperature suddenly changes from 25°C to -50°C), over-range (such as the voltage display 1000V exceeds the equipment rating), digital quantity is a status false alarm (such as the "switch closed" signal is continuously "open"), and pulse loss (counting data is undercounted or overcounted)) is standardized and converted based on the edge computing node to obtain the converted operating data, and then the operating data is standardized and converted to obtain the converted operating data; the converted operating data is divided according to the number of sub-data planes to obtain multiple sub-data segments, and after obtaining multiple sub-data segments, the position of the sub-data plane is changed to obtain the current hidden data plane. Before each transmission, the position of the sub-data plane in the hidden data plane can be changed to ensure the inconsistency of each transmission. This can better ensure the security of data transmission, facilitate the accurate data acquisition of subsequent grid-connected equipment, and improve the accurate control of the opening and closing of the grid-connected equipment. Multiple sub-data segments are placed into the first data space and sequentially stored one-to-one in the sub-data planes. Since the sub-data planes and the sub-base planes have the same storage capacity, the current hidden data plane storing the multiple sub-data segments is aligned with the base data plane. Invalid data in the sub-base plane aligned with the multiple sub-data planes is deleted and replaced with the sub-data segments. This allows the sub-data segments of the running data to be hidden within the invalid data, completing the fusion of the hidden data plane and the base data plane. The fused hidden data plane and the base data plane are then transmitted via a communication channel. Within the transmission channel, the corresponding positions of the multiple sub-data planes are provided to the receiving block. This provides position information, thus enabling faster transmission compared to the data after the fusion of the hidden data plane and the base data plane. The receiving block exchanges positions with the corresponding data blocks according to the positions of the sub-data planes, thus pre-arranging the receiving block positions and obtaining multiple receiving blocks corresponding to the hidden data plane.The fused hidden data plane and basic data plane are received by the receiving end of the Internet of Things platform and put into the second data space; the fused hidden data plane and basic data plane correspond to the transmission of multiple data blocks and multiple absorption blocks, where the positions of the sub-data plane and the absorption block correspond, and the data block does not receive data. The hidden data plane can be received by the multiple absorption blocks corresponding to the hidden data plane, and the sub-basic plane can be blocked by the data block, and only the hidden data plane is received to obtain the hidden data plane (here is the process of absorbing the converted operating data through the absorption space); the multiple sub-data segments in the hidden data plane are extracted and sequentially combined to obtain the converted operating data and store it in the Internet of Things platform, which can ensure the security of information transmission of grid-connected equipment, and then the Internet of Things platform can obtain accurate data for accurate analysis, while avoiding the leakage of power grid information caused by the external network obtaining the data of the grid-connected equipment, ensuring the transmission security of the power grid data, and finally, the opening and closing of the grid-connected equipment can be controlled according to the accurate data, which is convenient for subsequent power grid operation and maintenance work.

[0078] In one embodiment, the judgment module includes:

[0079] A setting unit, configured to set corresponding preset logic rules for each of the plurality of grid-connected devices, wherein the preset logic rules include a preset voltage deviation limit range and a preset communication bit error rate range of the grid-connected devices;

[0080] The judgment unit is used to identify the grid-connected devices corresponding to the operation data that does not comply with the preset logical rules as abnormal devices based on the association model, prompt them in the management model, and control the switching of the grid-connected devices.

[0081] It should be noted that the voltage deviation limit range: for different types of grid-connected equipment (such as generators, transformers, inverters), differentiated voltage deviation thresholds are set in combination with the rated parameters of the equipment and the grid dispatching requirements. For example, the allowable deviation range of the generator output voltage is ±5% of the rated value, while the transformer secondary side voltage fluctuation range can be relaxed to ±7%. The threshold is automatically adjusted according to the peak and valley periods of the grid and seasonal load changes (for example, during the high temperature period in summer, the voltage upper limit is appropriately tightened considering the impact of the equipment temperature rise on the insulation performance). The bit error rate standard is set according to the communication link type (fiber, wireless, industrial Ethernet) and the transmission protocol (IEC61850, ModbusTCP). For example, the bit error rate of fiber optic communication needs to be ≤10 -9 , the wireless 4G link bit error rate needs to be ≤10 -6For the transmission links of key control instructions (such as AGC adjustment signals), an association model between devices is constructed based on the grid topology and equipment operation logic. Using knowledge graph technology, the physical connection relationships, functional dependencies, and operating parameter associations of generators, transformers, circuit breakers and other equipment are visually modeled. For example, when the output power of the generator changes, the impact on the load and voltage of the connected transformer is automatically analyzed through the association model, realizing a collaborative evaluation of the equipment status from the perspective of the entire grid. Then, based on the association model, the grid-connected equipment that does not meet the preset logical rules is regarded as abnormal equipment and prompted in the management model. This can realize comprehensive analysis of data collaboration, judge the status of the grid-connected equipment, detect the grid-connected equipment, and facilitate subsequent abnormal operation and maintenance.

[0082] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection 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: A 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 corresponding to the multiple grid-connected devices. The connection module is connected to the deployment module and is used to connect the edge computing nodes corresponding to multiple grid-connected devices to the IoT platform; The data conversion module is connected to the connection module and 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 is connected to the data conversion module and is used to judge whether the grid-connected equipment is abnormal according to the preset logical rules 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.

2. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 1 is characterized by: The deployment module includes: A collection unit, 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 range; A construction unit, used for constructing a management model according to the power grid management scope; The grid-connected deployment unit is used to determine multiple grid-connected devices in the management model of the power grid management scope, and deploy corresponding edge computing nodes corresponding to 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 is characterized by: The connection module includes: The first building unit is used to build a transmission shooter corresponding to the edge computing node corresponding to the grid-connected device, wherein the transmission shooter includes a hidden space and a transmission end, and the hidden space is connected to the edge computing node and the transmission end respectively; The second building unit is used to set an absorbing end corresponding to the Internet of Things platform, wherein the absorbing end includes an absorbing space and a receiving end, and the absorbing space is connected to the receiving end and the Internet of Things platform respectively; The connection unit is used to establish a communication channel between the transmission end of the edge computing node and the receiving end of the Internet of Things platform.

4. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 3 is characterized by: The first building unit includes: A hiding unit, configured to connect a hidden space to a corresponding edge computing node, wherein the hidden space includes a first data space and a basic data plane and a hidden data plane in the first data space, wherein the basic data plane is composed of multiple sub-basic planes, and the hidden data plane is composed of multiple sub-data planes connected together, and the sub-basic planes and sub-data planes have the same storage capacity, and the basic data plane is composed of the data plane and invalid data stored in the data plane; The first port connection unit is used to connect the first data space to the transmission end.

5. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 4 is characterized by: The second building unit includes: An absorbing unit, configured to connect to an absorbing space corresponding to the IoT platform, wherein the absorbing space includes the second data space, a plurality of data blocks in the second data space, and a plurality of absorbing blocks. The number of absorbing blocks is the same as the number of sub-data planes in the hidden data plane and the storage capacity is the same. The combination of the plurality of data blocks and the plurality of absorbing blocks is the same as that of the basic data plane. A corresponding connection unit, used to establish a one-to-one correspondence between the absorbing block and the multiple sub-data surfaces and connect them; The second port connection unit is used to connect the second data space to the receiving end.

6. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 5 is characterized by: The data conversion module includes: A data acquisition unit is used to obtain operating data of the grid-connected equipment based on the edge computing node, and perform standardized conversion on the operating data based on the edge computing node to obtain the converted operating data; The transmission unit is used to store the converted operating 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 Internet of Things platform. The converted operating data is absorbed by the absorption space and stored in the Internet of Things platform.

7. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 6 is characterized by: The transmission unit includes: a dividing unit for dividing the converted running data into a plurality of sub-data segments according to the number of sub-data planes, and changing the position of the sub-data planes to obtain the current hidden data plane; A 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; A fusion unit is configured to align the current hidden data plane storing multiple sub-data segments with the base data plane data, delete invalid data in the sub-base plane aligned with the multiple sub-data planes and replace it with the sub-data segments, thereby completing the fusion of the hidden data plane and the base data plane; an exchange unit, configured to transmit the fused hidden data plane and the basic data plane via a communication channel, and provide corresponding positions to an absorbing block via multiple sub-data planes in the transmitted communication channel. The absorbing block exchanges positions with the data blocks at corresponding positions according to the positions of the sub-data planes, thereby obtaining multiple absorbing blocks corresponding to the hidden data plane; A second delivery unit is configured to receive the fused hidden data plane and basic data plane through a receiving end of the Internet of Things platform and deliver them into a second data space; An absorbing unit, configured to transmit the fused hidden data plane to the basic data plane, multiple data blocks, and multiple absorbing blocks, receive the hidden data plane through the multiple absorbing blocks corresponding to the hidden data plane, block data on the basic data plane through the data blocks, and receive the hidden data plane; The combining unit is used to extract and sequentially combine multiple sub-data segments in the hidden data plane to obtain the converted operating data and store it in the Internet of Things platform.

8. The power generation enterprise grid-connected communication operation and maintenance monitoring system based on data collaboration technology according to claim 2 is characterized by: The judgment module includes: A setting unit, configured to set corresponding preset logic rules for each of the plurality of grid-connected devices, wherein the preset logic rules include a preset voltage deviation limit range and a preset communication bit error rate range of the grid-connected devices; The judgment unit is used to treat the grid-connected equipment corresponding to the operation data that does not comply with the preset logical rules as an abnormal equipment, prompt it in the management model, and control the switching of the grid-connected equipment.

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