Digital twinborn monitoring method and system for 10KV line connection point, and storage medium

Abstract

The invention provides a 10KV line connection point digital twinborn monitoring method and system and a storage medium, and belongs to the technical field of circuit state monitoring. The method comprises the following steps: acquiring real-time operation data of a line connection point at regular time, and storing the real-time operation data in a database; constructing a digital twinborn model; analyzing the real-time operation data through a digital twinborn model, generating a health state evaluation result of the line connection point, and storing the health state evaluation result in a database; and analyzing whether the state parameter of the line connection point exceeds an early warning parameter threshold according to the health state evaluation result, if so, generating early warning information of the line connection point, and storing the early warning information in a database. The problem that it is difficult to manually inspect and obtain the working state of the line connection point when the insulation safety cover covers the line connection point can be solved, the maintenance efficiency is effectively improved, meanwhile, early warning information of the line connection point can be generated, maintenance personnel can conveniently, timely and accurately maintain the line connection point according to the early warning information, and the maintenance efficiency is improved. The maintenance effect is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of circuit state monitoring, and particularly relates to a digital twin monitoring method, system and storage medium for the connection point of a 10KV line. Background Art

[0002] Distribution network lines generally refer to the power transmission lines from the substation to users in the power system. It includes cables and overhead lines of various voltage levels, and is mainly responsible for distributing electric power from the high-voltage power transmission network to each user end. The maintenance of distribution network lines is crucial for ensuring the stable operation of the power system.

[0003] Currently, the maintenance of distribution network lines, especially 10kV lines, is mostly completed through manual inspections, with low maintenance efficiency. Moreover, as can be seen from the Chinese utility model patent with the application number "201220520211.4" and the Chinese utility model patent with the application number "201921589280.9", in the distribution line, due to the covering of the insulating safety cover at the line connection point, it hinders the observation of the specific state of the line connection point during manual inspections, which has an adverse impact on the timely and effective maintenance of the distribution network line. Summary of the Invention

[0004] The technical problem to be solved by the present invention is how to improve the maintenance efficiency while ensuring the maintenance effect of the connection point of the 10KV line. In view of the deficiencies of the prior art, a digital twin monitoring method, system and storage medium for the connection point of a 10KV line are provided.

[0005] To solve the above technical problems, the technical solutions adopted by the present invention are as follows:

[0006] In the first aspect, the present invention provides a digital twin monitoring method for the connection point of a 10KV line, including:

[0007] S1. Regularly obtain the real-time operation data of the line connection point and store it in the database;

[0008] S2. Build a digital twin model;

[0009] S3. Analyze the real-time operation data through the digital twin model to generate a health status evaluation result of the line connection point and store it in the database;

[0010] S4. According to the health status evaluation result, analyze whether the state parameters of the line connection point exceed the warning parameter threshold. If so, generate a warning message for the line connection point and store it in the database.

[0011] Compared with the prior art, the beneficial effects of the digital twin monitoring method for the 10KV line connection point of the present invention include: First, the real-time operation data of the connection point is collected by means of remote transmission, and the obtained real-time operation data is stored in the database for subsequent use. At the same time, the real-time operation data is refreshed by means of timed acquisition to ensure the timeliness of the operation data in the database. Then, a digital twin model is constructed, and the digital twin model is used to analyze the real-time operation data in the database, so as to generate a health status evaluation result of the line connection point according to the real-time operation data. The health status evaluation result of the line connection point can reflect the health status of the line connection point in a digital form. In this way, the working status of the line connection point can be obtained without manual inspection, which can solve the problem that it is difficult to obtain the working status of the line connection point by manual inspection when the insulating safety cover covers the line connection point, ensure that abnormal conditions existing in the 10KV line connection point can be detected in time, and then facilitate timely maintenance operations and improve the maintenance efficiency. At the same time, the health status evaluation result is stored in the database, which is convenient for maintenance personnel to access and use when generating subsequent warning information. Finally, it is possible to analyze whether the status parameters of the line connection point exceed the preset warning parameter threshold according to the health status evaluation result. If so, it means that the current line connection point is in an abnormal state, and a warning information of the line connection point is generated, which is convenient for maintenance personnel to perform maintenance operations on the line connection point in a timely and accurate manner to ensure the maintenance effect. At the same time, the warning information can be stored in the database, which is convenient for maintenance personnel to access in real time and assist maintenance personnel in maintaining the line connection point.

[0012] Optionally, step S1 specifically includes:

[0013] S11. Timely obtain the real-time operation data through the sampling element located at the line connection point;

[0014] S12. Encrypt the real-time operation data through the AES data encryption algorithm and transmit it to the database through the wireless communication network.

[0015] Optionally, step S2 specifically includes:

[0016] S21. Define the physical model of the line connection point;

[0017] S22. Convert the physical model into a mathematical model;

[0018] S23. Obtain the nominal value of the line connection point;

[0019] S24. Set the initial parameters of the mathematical model according to the nominal value and construct the digital twin model.

[0020] Optionally, step S2 specifically further includes:

[0021] S25. Map the real-time operation data into the digital twin model;

[0022] S26. Define an objective function according to the difference between the real-time operation data and the output data of the digital twin model:

[0023] J(θ) = ∑(y measured - y predicted ) 2 ,

[0024] where y measured is the real-time operation data, y predicted is the output data, and θ is the digital twin model parameter;

[0025] S27. Iteratively optimize the objective function through the Levenberg-Marquardt algorithm, and adjust the digital twin model parameters so that the difference between the output data and the real-time operation data is within a preset range;

[0026] S28. Update the initial parameters according to the iterative optimization.

[0027] Optionally, S3 specifically includes:

[0028] S31. Preset the correlation function between the real-time operation data and the clamp data of the connection point in the digital twin model;

[0029] S32. Analyze the real-time operation data according to the correlation function, obtain the aging trend of the clamp and predict the update time of the clamp;

[0030] S33. Construct the health model of the connection point according to the functional network tree of the connection point;

[0031] S34. Deduce whether there is a function inhibition and / or an unexpected function activation of the connection point through the health model and the real-time operation data. If so, generate potential problem data;

[0032] S35. Generate the health status evaluation result according to the potential problem data, the aging trend of the clamp and the update time of the clamp, and store it in the database.

[0033] Optionally, S4 specifically includes:

[0034] S41. Preset at least one warning parameter threshold in the digital twin model and set at least one warning level corresponding to the warning parameter threshold;

[0035] S42. Analyze whether the status parameters of the line connection point exceed the warning parameter threshold according to the health status assessment result;

[0036] S43. If so, obtain the warning level according to the maximum warning parameter threshold exceeded by the status parameters;

[0037] S44. Generate a warning message for the line connection point according to the warning level and store it in the database.

[0038] Optionally, before storing in the database, S44 further includes generating an output order of the warning message for the line connection point according to the warning level, and sequentially transmitting the warning message of the line connection point to the database according to the output order.

[0039] Optionally, the 10KV line connection point digital twin monitoring method further includes: S5. Real-time synchronize the updated information of the database to the human-computer interaction page.

[0040] In a second aspect, the present invention further provides a 10KV line connection point digital twin monitoring system, including:

[0041] An analysis unit, which has a digital twin model built in;

[0042] A cloud service unit, which has a database, and the analysis unit is communicatively connected to the cloud service unit;

[0043] A collection module, which includes a sampling element and a power supply element. The sampling element is placed at the line connection point and is communicatively connected to the cloud service unit, and the power supply element is electrically connected to the sampling element;

[0044] A display terminal, which is communicatively connected to the cloud service unit and includes at least one of a handheld terminal and a fixed terminal.

[0045] Compared with the prior art, the beneficial effects of the 10KV line connection point digital twin monitoring system of the present invention are the same as those of the 10KV line connection point digital twin monitoring method described above, and will not be elaborated here.

[0046] In a third aspect, the present invention further provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the 10KV line connection point digital twin monitoring method described above is implemented.

[0047] Compared with the prior art, the beneficial effects of the storage medium of the present invention are the same as those of the 10KV line connection point digital twin monitoring method described above, and will not be elaborated here. Description of the Drawings

[0048] The present invention will be further described in detail below with reference to the accompanying drawings.

[0049] Figure 1 : Flowchart of the digital twin monitoring method for the 10 kV line connection point in the embodiment of the present invention;

[0050] Figure 2 : Figure 1 Sub - flowchart of S1 in

[0051] Figure 3 : Figure 1 Sub - flowchart of S2 in

[0052] Figure 4 : Figure 1 Sub - flowchart of S3 in

[0053] Figure 5 : Figure 1 Sub - flowchart of S4 in

[0054] Figure 6 : Schematic diagram of the digital twin monitoring system for the 10 kV line connection point in the embodiment of the present invention. Detailed implementation manners

[0055] To better understand the present invention, the content of the present invention will be further clearly elaborated below in combination with embodiments. However, the protected content of the present invention is not limited to the following embodiments. In the following description, a large number of specific details are given to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details.

[0056] The term "including" and its variants used herein are open - ended, that is, "including but not limited to"; the term "based on" means "at least partially based on"; the term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments"; the term "optionally" means "optional embodiments". The relevant definitions of other terms will be given in the following description. It should be noted that the concepts of "first", "second", etc. mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order of the functions executed by these devices, modules or units or their interdependent relationships.

[0057] It should be noted that the modifications of "one" and "multiple" mentioned in the present invention are illustrative rather than restrictive. Those skilled in the art should understand that, unless otherwise clearly specified in the context, it should be understood as "one or more".

[0058] In a first aspect, an embodiment of the present invention provides a digital twin monitoring method for a 10KV line connection point, including: S1. Timely obtain the real-time operation data of the line connection point and store it in a database;

[0059] S2. Construct a digital twin model; S3. Analyze the real-time operation data through the digital twin model to generate a health status evaluation result of the line connection point and store it in the database; S4. According to the health status evaluation result, analyze whether the status parameters of the line connection point exceed the warning parameter threshold. If so, generate a warning message for the line connection point and store it in the database.

[0060] In this embodiment, as Figure 1 shown, first, the real-time operation data of the connection point is collected by means of remote transmission, and the obtained real-time operation data is stored in the database for subsequent use. At the same time, the real-time operation data is refreshed by means of timed acquisition to ensure the timeliness of the operation data in the database; then, a digital twin model is constructed, and the digital twin model is used to analyze the real-time operation data in the database, so as to generate a health status evaluation result of the line connection point according to the real-time operation data. The health status evaluation result of the line connection point can reflect the health status of the line connection point in a digital form, so that the working status of the line connection point can be obtained without manual inspection, which can solve the problem that it is difficult to obtain the working status of the line connection point by manual inspection when the insulating safety cover covers the line connection point, ensure that the abnormal conditions existing in the 10KV line connection point can be detected in time, and then facilitate timely maintenance operations and improve the maintenance efficiency. At the same time, the health status evaluation result is stored in the database, which is convenient for maintenance personnel to access and use when generating subsequent warning messages; finally, the status parameters of the line connection point can be analyzed according to the health status evaluation result to determine whether they exceed the preset warning parameter threshold. If they exceed, it means that the current line connection point is in an abnormal state, and a warning message for the line connection point is generated, which is convenient for maintenance personnel to perform maintenance operations on the line connection point in a timely and accurate manner to ensure the maintenance effect. At the same time, the warning message can be stored in the database, which is convenient for maintenance personnel to access in real time to assist in the maintenance of the line connection point.

[0061] Optionally, S1 specifically includes: S11. Timely obtain the real-time operation data through the sampling elements located at the line connection point; S12. Encrypt the real-time operation data through the AES data encryption algorithm and transmit it to the database through a wireless communication network.

[0062] Specifically, the sampling element can be structures such as a positioning sensor, a wind sensor, a temperature and humidity sensor, an ammeter or a timer. Correspondingly, the real-time operation data of the line connection point can be geographical location, weather information, current, temperature of the connection clamp or manual inspection time, etc. Among them, the weather information can include wind and rain information and environmental temperature information, etc.

[0063] In this alternative embodiment, in order to ensure the accuracy of real-time operation data acquisition and the stability of transmission, as Figure 1 and Figure 2 shown, first, the sampling element located at the connection point of the lead wire regularly acquires real-time operation data, so as to ensure the timeliness and accuracy of the real-time operation data and effectively improve the problem of missed or misacquired data in manual regular inspections; then, the real-time operation data is first encrypted by the AES data encryption algorithm. AES (Advanced Encryption Standard) is a symmetric encryption algorithm that can be used to protect electronic data. After the real-time operation data is encrypted, it is remotely transmitted through a wireless communication network such as a 5G network, and the real-time operation data is transmitted to the database, thus ensuring both the stability and security of the real-time operation data during the transmission process and the speed of remote transmission, and then facilitating the database to update the real-time operation data in a timely and accurate manner to assist maintenance personnel in performing timely and accurate maintenance operations.

[0064] It should be noted that since there are multiple connection points of the 10KV line, therefore, the wireless communication network can set transmission nodes at each connection point, and realize the rapid transmission of real-time operation data through point-to-point transmission between the connection points.

[0065] Optionally, S2 specifically includes: S21, defining the physical model of the line connection point; S22, converting the physical model into a mathematical model; S23, obtaining the nominal value of the line connection point; S24, setting the initial parameters of the mathematical model according to the nominal value to construct a digital twin model.

[0066] In this alternative embodiment, as Figure 1 and Figure 3As shown, in order to build a digital twin model of the line connection point, first, define the physical model of the line connection point, that is, define the physical model of the 10kV line connection point based on physical characteristics such as the resistance and capacitance of the 10kV line connection point; then, convert the physical model into a digital model, that is, digitally represent each physical characteristic in the physical model to form a mathematical model; then, obtain the nominal values of the line connection point, that is, each physical characteristic of the 10kV line connection point such as resistance or capacitance has a nominal value, and extract these nominal values as the initial parameters of the digital model. Furthermore, the digital twin model corresponding to the 10kV line connection point is built, and the digital twin model has a three-dimensional simulation function the same as the physical structure of the 10kV line connection point.

[0067] Optionally, S2 specifically further includes: S25, mapping the real-time operation data into the digital twin model; S26, defining the objective function according to the difference between the real-time operation data and the output data of the digital twin model: Jθ = ∑(y measured -y predicted ) 2 , where y measured is the real-time operation data, y predicted is the output data, and θ is the digital twin model parameter; S27, iteratively optimizing the objective function through the Levenberg-Marquardt algorithm, adjusting the digital twin model parameter to make the difference between the output data and the real-time operation data within a preset range; S28, updating the initial parameter according to the iterative optimization.

[0068] In this optional embodiment, as Figure 3 shown, in order to ensure the simulation accuracy and use stability of the digital twin model, the initial parameters of the digital twin model are also updated iteratively. Among them, first, the digital twin model can output data based on the initial parameters, map the real-time operation data obtained from the database into the digital twin model, and compare the difference between the real-time operation data and the output data of the digital twin model, so as to generate the objective function Jθ = ∑(y measured -y predicted ) 2 . The objective function can be iteratively optimized through the Levenberg-Marquardt algorithm, and then the digital twin model parameter is adjusted to make the output data gradually approach the real-time operation data. Finally, the difference between the two is within an acceptable preset range, and the initial parameter is updated according to the finally adjusted digital twin model parameter, so that the output data of the finally obtained digital twin model and

[0069] Optionally, S3 specifically includes: S31, presetting a correlation function between real-time operation data and clamp data of the connection point in the digital twin model; S32, analyzing the real-time operation data according to the correlation function to obtain the aging trend of the clamp and predicting the update time of the clamp; S33, constructing a health model of the connection point according to the functional network tree of the connection point; S34, inferring whether there is a suppressed function and / or an unexpected function activated at the connection point through the health model and the real-time operation data. If so, generating potential problem data; S35, generating a health status evaluation result according to the potential problem data, the aging trend of the clamp, and the update time of the clamp, and storing it in the database.

[0070] In this optional embodiment, as Figure 4 shown, in order to obtain the health status of the line connection point through real-time operation data, a correlation function between the real-time operation data and the clamp data of the connection point can be preset in the digital twin model first. That is, through the correlation function, the clamp data reflected by a certain or certain types of real-time operation data can be reflected. With such a setting, after the subsequent real-time operation data is updated, the updated real-time operation data can be analyzed through the correlation function, and then the corresponding clamp data can be obtained. Thus, the aging trend of the clamp and the prediction of the update time of the clamp can be obtained from the clamp data, which is convenient for maintenance personnel to adjust the replacement time of the clamp accordingly and ensure the stability of the 10kV line. On this basis, in order to further improve the forward-looking of the health status evaluation, a health model of the connection point can be constructed according to the functional network tree of the connection point. That is, the functional types and quantities of the connection point in the normal and healthy operation state can be reflected through the health model, and the current functions of the connection point can be deduced according to the real-time operation data. With such a setting, it can be inferred whether there is a suppressed function and / or an unexpected function activated at the connection point through the health model and the real-time operation data. If so, it means that there are potential risks in the current functions of the connection point, and then potential problem data is generated, which is convenient for maintenance personnel to make corresponding adjustments to the 10kV line through the potential problem data and solve the potential risks before they occur. Finally, the potential problem data, the aging trend of the clamp, and the update time of the clamp can be used to generate a health status evaluation result and stored in the database, which is convenient for maintenance personnel to consult and retrieve and assist the maintenance personnel in maintenance operations.

[0071] Optionally, S4 specifically includes: S41, presetting at least one warning parameter threshold in the digital twin model and setting at least one warning level corresponding to the warning parameter threshold; S42, analyzing whether the status parameters of the line connection point exceed the warning parameter threshold according to the health status evaluation result; S43, if so, obtaining the warning level according to the maximum warning parameter threshold exceeded by the status parameters; S44, generating a warning message for the line connection point according to the warning level and storing it in the database.

[0072] In this optional embodiment, as Figure 5As shown in the figure, in order to avoid false alarms caused by sudden events and reduce the impact on network capacity, at least one warning parameter threshold is preset in the digital twin model. Correspondingly, each warning parameter threshold corresponds to a warning level. When the status parameter of the line connection point obtained by analysis exceeds the warning parameter threshold, the maximum warning parameter threshold exceeded by the status parameter can be selected to determine the warning level, thereby shielding some non-urgent warning events, avoiding false alarms caused by sudden events and reducing the impact on network capacity. Finally, warning information about the line connection point is generated according to the warning level and stored in the database for maintenance personnel to query and retrieve.

[0073] Optionally, before storing in the database, S44 further includes generating an output order of the warning information of the line connection point according to the warning level, and sequentially transmitting the warning information of the line connection point to the database according to the output order.

[0074] In this optional embodiment, as Figure 5 shown, in order to ensure the orderliness of the warning information, when there are multiple warning information, an output order of the warning information of the line connection point can be generated according to the warning level, and then the warning information is sequentially transmitted to the database according to the output order, thereby avoiding the capacity impact on the network caused by the simultaneous transmission of a large amount of warning information, and also facilitating the maintenance personnel to preferentially process urgent warning events according to the order.

[0075] Optionally, the digital twin monitoring method for the 10KV line connection point further includes: S5, synchronizing the updated information of the database to the human-machine interaction page in real time.

[0076] Specifically, the human-machine interaction page is the display page of the terminal, such as the display screen of a mobile phone or a computer.

[0077] In this optional embodiment, as Figure 1 shown, in order to facilitate the maintenance personnel to receive and view the warning information, the updated information of the database can be synchronized to the human-machine interaction page of a mobile terminal or a fixed terminal in real time, enabling the maintenance personnel to receive the warning information in a timely manner in any scenario and ensuring the timeliness of maintenance operations.

[0078] In a second aspect, an embodiment of the present invention provides a digital twin monitoring system for a 10KV line connection point, including: an analysis unit, with a digital twin model built therein; a cloud service unit, having a database, and the analysis unit is communicatively connected to the cloud service unit; a collection module, the collection module includes a sampling element and a power supply element, the sampling element is placed at the line connection point and is communicatively connected to the cloud service unit, and the power supply element is electrically connected to the sampling element; a display terminal, the display terminal is communicatively connected to the cloud service unit and includes at least one of a handheld terminal and a fixed terminal.

[0079] The technical effect of the 10KV line connection point digital twin monitoring system in this embodiment is similar to that of the above-mentioned 10KV line connection point digital twin monitoring method, and will not be elaborated here.

[0080] In a third aspect, an embodiment of the present invention provides a storage medium, characterized in that: a computer program is stored thereon, and when the computer program is executed by a processor, the above-mentioned 10KV line connection point digital twin monitoring method is implemented.

[0081] The technical effect of the storage medium in this embodiment is similar to that of the above-mentioned 10KV line connection point digital twin monitoring method, and will not be elaborated here.

[0082] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A 10KV line access point digital twin monitoring method, characterized in that: include: S1. Regularly obtain the real-time operation data of the line access point and store it in the database; S2, build a digital twin model; S3. Analyze the real-time operation data through the digital twin model, generate a health status assessment result of the line access point, and store it in the database; S4. Analyze whether the status parameter of the line access point exceeds the warning parameter threshold according to the health status assessment result. If so, generate warning information of the line access point and store it in the database.

2. The 10KV line access point digital twin monitoring method according to claim 1, characterized in that: The S1 specifically includes: S11, regularly acquiring the real-time operation data through a sampling element located at the line access point; S12, encrypting the real-time operation data by using an AES data encryption algorithm, and transmitting the data to the database via a wireless communication network.

3. The 10KV line access point digital twin monitoring method according to claim 1, characterized in that: The S2 specifically includes: S21, defining a physical model of the line access point; S22, converting the physical model into a mathematical model; S23, obtaining the nominal value of the line access point; S24. Setting initial parameters of the mathematical model according to the nominal values ​​to construct the digital twin model.

4. The 10KV line access point digital twin monitoring method according to claim 3, characterized in that: The S2 specifically includes: S25, mapping the real-time operation data into the digital twin model; S26. Define an objective function according to the difference between the real-time operation data and the output data of the digital twin model: J(θ)=∑(y measured -y predicted ) 2 , Among them, the y measured is the real-time operation data, y predicted is the output data, θ is the digital twin model parameter; S27. Iteratively optimize the objective function by using the Levenberg-Marquardt algorithm, and adjust the parameters of the digital twin model so that the difference between the output data and the real-time operation data is within a preset range; S28. Update the initial parameters according to iterative optimization.

5. The 10KV line access point digital twin monitoring method according to claim 1, characterized in that: The S3 specifically includes: S31, presetting a correlation function between the real-time operation data and the wire clamp data of the access point in the digital twin model; S32, analyzing the real-time operation data according to the correlation function, obtaining the aging trend of the wire clamp and predicting the update time of the wire clamp; S33, constructing a health model of the access point according to the functional network tree of the access point; S34, using the health model and the real-time operation data, deduce whether the access point has any function suppressed and / or any undesired function activated, and if so, generate potential problem data; S35. Generate the health status assessment result according to the potential problem data, the aging trend of the wire clamp and the update time of the wire clamp, and store it in the database.

6. The 10KV line access point digital twin monitoring method according to claim 5, characterized in that: The S4 specifically includes: S41. Preset at least one of the warning parameter thresholds in the digital twin model, and set at least one warning level corresponding to the warning parameter threshold; S42, analyzing whether the status parameter of the line access point exceeds the warning parameter threshold according to the health status assessment result; S43: If yes, obtain the warning level according to the maximum warning parameter threshold value exceeded by the state parameter; S44. Generate warning information of the line access point according to the warning level and store it in the database.

7. The 10KV line access point digital twin monitoring method according to claim 6, characterized in that: Before storing in the database, the S44 further includes generating an output sequence of the warning information of the line access point according to the warning level, and sequentially transmitting the warning information of the line access point to the database according to the output sequence.

8. The 10KV line access point digital twin monitoring method according to claim 1, characterized in that: Also includes: S5. Synchronize the update information of the database to the human-computer interaction page in real time.

9. A 10KV line access point digital twin monitoring system, characterized in that: include: An analysis unit, wherein the analysis unit has a built-in digital twin model; A cloud service unit, wherein the cloud service unit has a database, and the analysis unit is in communication connection with the cloud service unit; A collection module, the collection module includes a sampling element and a power supply element, the sampling element is placed at a line connection point and is communicatively connected to the cloud service unit, and the power supply element is electrically connected to the sampling element; A display terminal is communicatively connected to the cloud service unit and includes at least one of a handheld terminal and a fixed terminal.

10. A storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the 10KV line access point digital twin monitoring method as described in any one of claims 1 to 8 is implemented.

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