High-voltage reactor digital twinning implementation method based on Internet of Things platform

Abstract

The invention requests to protect a high-voltage reactor digital twinning implementation method based on an Internet of Things platform. According to the method, after monitoring data are collected, a gateway is combined to unify a data transmission protocol into an MQTT message queue telemetering transmission protocol supported by Internet of Things platform access data, and then the monitoring data are accessed to an Internet of Things platform; and then a vibration model considering the alternating electromagnetic force borne by the iron core in the operation process of the high-voltage reactor is established on a multi-physics field simulation platform. And then the model is analyzed into a form represented by a platform and service layer (PaaS layer) digital twinning modeling language in the Internet of Things platform. And finally, organizing and deploying a data access module, a data analysis module and a visualization module of the Internet of Things platform, exporting a simulation model constructed by the multi-physics field platform in a format supported by an Internet of Things platform digital twin modeling language, and deploying the simulation model to the Internet of Things platform to realize simulation result visualization. According to the invention, the state parameters of the high-voltage reactor can be visualized in real time on an Internet of Things platform based on the monitoring data of the high-voltage reactor and the simulation condition of the electromagnetic field, thereby serving the digital operation and maintenance and state management and control of the high-voltage reactor, and promoting the digital and intelligent development of the electric power equipment state monitoring field.

Description

Technical Field

[0001] The present invention belongs to the field of power equipment condition assessment, and particularly relates to the field of digital twin implementation architectures for high-voltage reactors based on the Internet of Things platform. Background Art

[0002] In the power system, high-voltage shunt reactors play a role in stabilizing reactive power compensation and voltage. However, with the booming development of UHV power transmission technology and HVDC power transmission technology, the capacity of reactors in transmission lines is increasing. Due to the multi-air-gap structure of their windings and iron cores, the problem of internal vibration is becoming increasingly prominent. Reactors will generate vibration when operating in an alternating electromagnetic field, resulting in loosening of internal connection fastening components, an increase in operating resistance, etc., affecting their safe operation. As one of the most important electromagnetic equipment in the UHV power transmission system, the vibration and noise of shunt reactors have an important impact on the normal and environmental protection operation of the UHV power system. In order to maintain good linearity of the reactance value, the iron core model of shunt reactors usually adopts a multi-air-gap structure, which greatly increases the leakage magnetic flux of its iron core model, thus greatly increasing the electromagnetic force on the iron core model of the reactor under normal operating conditions, resulting in the working characteristic of high noise during the normal operation of shunt reactors. Therefore, the vibration analysis of the iron core model of shunt reactors should consider the influence of electromagnetic force in the vibration analysis. Therefore, real-time analysis and monitoring of the electromagnetic force suffered during its operation are of great significance for ensuring the safe operation of high-voltage reactors. Summary of the Invention

[0003] The present invention aims to solve the above problems in the prior art. A method for implementing a digital twin of a high-voltage reactor based on the Internet of Things platform is proposed. The technical solution of the present invention is as follows:

[0004] A method for implementing a digital twin of a high-voltage reactor based on the Internet of Things platform, which includes the following steps:

[0005] 1), Sampling the monitoring data of the high-voltage reactor and uploading it to the Internet of Things platform. The sensor monitoring data sampled includes: voltage, current, temperature, vibration, and noise monitoring;

[0006] 2), Converting the sensor monitoring data sampled in step 1) into MQTT Message Queuing Telemetry Transport Protocol through a gateway and uploading it to the Internet of Things platform; ensuring the effective transmission of data in a low-bandwidth and unreliable network environment;

[0007] 3), Establishing a vibration model of the high-voltage reactor iron core affected by electromagnetic force in an alternating electromagnetic field on a multi-physics field simulation platform, exporting it into a data format supported by the MQTT protocol, and uploading it to the Internet of Things platform;

[0008] 4), Fuse the monitoring data in steps 2) and 3) with the constructed geometric model on the Internet of Things platform to monitor the operating status of the high-voltage reactor in real time and realize the digital twin of the high-voltage reactor;

[0009] Further, the simulation model of the high-voltage reactor is specifically: model the iron core in the multi-physics field simulation software to analyze its vibration under electromagnetic force. According to the vibration theory, the differential equation of the system vibration is represented by a matrix as:

[0010]

[0011] In the formula, [M] is the structural mass matrix; [K] is the structural stiffness matrix; is the generalized acceleration column matrix; {X} is the generalized displacement column matrix. When the reactor is in the operating condition, the exciting force generated by the alternating magnetic field acts on the system. The right side of formula (1) is no longer zero, but the exciting force. For the reactor, the differential equation of the system is expressed as

[0012]

[0013] In the formula: f is 50Hz, P represents the amplitude of the electromagnetic force, F represents the electromagnetic force vector, and the particular solution table of this equation is also:

[0014]

[0015] X N represents the vibration amplitude of the Nth measurement point, represents the phase angle of the Nth measurement point, Xn represents the vibration amplitude of the Nth

[0016] measurement point, fain represents the phase angle of the Nth measurement point, that is, when the system is only affected by the electromagnetic exciting force of the reactor itself, the vibration frequency of each measurement point of the system is the same as the exciting frequency, which is 2f = 100Hz.

[0017] Further, export the simulation model of the iron core of the constructed high-voltage reactor under the electromagnetic force in the alternating electromagnetic field into a data format supported by the MQTT protocol, specifically including:

[0018] It includes a topic and a payload. The topic is used to identify the source or type of data, and the payload contains the actual monitoring data or simulation model data.

[0019] Further, in step 4), fusing the monitoring data in steps 2) and 3) with the constructed geometric model on the Internet of Things platform specifically includes:

[0020] Data fusion adopts a timestamp-based synchronization method to match real-time monitoring data with the time series data of the simulation model. The specific steps include: ① Align the monitoring data and the simulation model data in terms of time to ensure that the data at the same time point of both can correspond; ② Use interpolation or extrapolation methods to supplement the missing data; ③ Through the data processing layer of the Internet of Things platform, perform weighted fusion on the monitoring data and the output data of the simulation model to generate comprehensive data reflecting the real-time state of the high-voltage reactor.

[0021] Furthermore, the Internet of Things platform includes a data access layer, a processing layer, and an application layer. The data access layer is responsible for data collection and protocol conversion. The processing layer realizes the fusion analysis of data and models. The application layer provides a user interface for real-time invocation and visual monitoring of the model.

[0022] Furthermore, the fusion of the electromagnetic force, the simulation model, and the actual monitoring data on the Internet of Things platform updates the digital twin in a data-driven manner in real time, enabling the model to reflect the real-time state of the high-voltage reactor under specific operating conditions, and enhancing the accuracy and timeliness of state monitoring.

[0023] Furthermore, the real-time update of the digital twin in a data-driven manner specifically includes:

[0024] Real-time collect the monitoring data of the high-voltage reactor and upload it to the Internet of Things platform through the MQTT protocol;

[0025] Compare and analyze the monitoring data with the output data of the simulation model to calculate the error or deviation;

[0026] According to the error or deviation, adjust the parameters or input conditions of the simulation model to make the model output closer to the actual monitoring data;

[0027] Re-import the updated model data into the Internet of Things platform to achieve real-time update of the digital twin.

[0028] The advantages and beneficial effects of the present invention are as follows:

[0029] The innovation points of the present invention are mainly reflected in the following steps and methods:

[0030] Innovation points:

[0031] 1. Data protocol unification and integration with the Internet of Things platform: Through the gateway, the monitoring data of the high-voltage reactor is uniformly converted into the MQTT protocol format to ensure that the data can be efficiently and stably transmitted to the Internet of Things platform. This step solves the compatibility problem between sensor data and the Internet of Things platform and provides a basis for real-time data transmission and processing.

[0032] 2. Multi-physics simulation model construction: A vibration model of the core of a high-voltage reactor under the influence of electromagnetic force in an alternating electromagnetic field is constructed on a multi-physics simulation platform. This model not only considers the influence of electromagnetic force on vibration but also combines real-time monitoring data, realizing the simulation transition from a single physical field to multi-physical fields, and improving the accuracy and practicality of the model.

[0033] 3. Model and data fusion: The multi-physics simulation model and real-time monitoring data are fused on the Internet of Things platform, and the digital twin model is updated in real time in a data-driven manner. This fusion not only provides real-time visualization of the operating state of the high-voltage reactor but also enables in-depth analysis and utilization of data at the model level, providing a new perspective for condition monitoring.

[0034] 4. Model export supported by digital twin modeling language: The calculated electromagnetic force model is exported in a format supported by the digital twin modeling language of the Internet of Things platform. This innovation ensures that the model can be effectively recognized and utilized on the Internet of Things platform, facilitating data exchange and model deployment between different platforms and devices.

[0035] Beneficial effects:

[0036] - Real-time status monitoring: Through the Internet of Things platform, real-time data transmission and model updates are realized, enabling timely monitoring of the operating state of the high-voltage reactor, early warning of potential failure risks, reducing equipment downtime, and improving operation and maintenance efficiency.

[0037] - Precise status assessment: Combining the multi-physics simulation model and considering the influence of electromagnetic force on the vibration of the high-voltage reactor improves the accuracy of status assessment, helps optimize equipment design, and reduces failures caused by design defects.

[0038] - Intelligent operation and maintenance management: The visualization and real-time nature of the digital twin model make it possible for intelligent operation and maintenance management of the high-voltage reactor. Through data analysis and model prediction, more scientific maintenance strategies can be formulated, the service life of the equipment can be extended, and the maintenance cost can be reduced.

[0039] Reasons not easily thought of:

[0040] - Cross-domain technology integration: The present invention integrates Internet of Things technology, multi-physics simulation technology, and digital twin technology, requiring cross-domain professional knowledge and technical capabilities. At the same time, in-depth understanding of data transmission protocols, physical field simulation, and model languages is needed, which is of certain complexity and challenge in technical implementation.

[0041] - Balancing real-time and compatibility: While ensuring real-time data transmission, it is also necessary to solve the compatibility issues between data and models. It is necessary to optimize the data processing process and adjust the model to adapt to the digital twin modeling language of the IoT platform. This requires careful consideration during design.

[0042] -Big data analysis and decision support: Use the IoT platform to conduct big data analysis and feed the results back into the digital twin model to support real-time decision-making and status management. This process involves the development of data processing algorithms, model optimization, and decision support systems, which requires a lot of experimental verification and technical accumulation.

[0043] In summary, the innovation of the present invention is reflected in the integration of cross-domain technologies, the real-time integration of models and data, and the full use of the Internet of Things platform, which not only solves the real-time problem of high-voltage reactor status monitoring, but also improves the accuracy of status assessment, providing technical support for intelligent operation and maintenance. These innovations are not easy to think of because they require a deep understanding of technologies in multiple fields and the ability to creatively combine these technologies to solve practical problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 The present invention provides a preferred embodiment of a digital twin architecture based on an Internet of Things platform + an iron core electromagnetic force simulation model;

[0045] Figure 2 It is the process of building a digital twin model of high-voltage reactor. DETAILED DESCRIPTION

[0046] The following will describe the technical solutions in the embodiments of the present invention in detail in conjunction with the accompanying drawings in the embodiments of the present invention. The described embodiments are only part of the embodiments of the present invention.

[0047] The technical solution of the present invention to solve the above technical problems is:

[0048] like Figure 1 and 2 As shown, a method for realizing a digital twin of a high-voltage reactor based on an Internet of Things platform includes the following steps:

[0049] 1) Sample the high-voltage reactor monitoring data and upload it to the IoT platform. The sampled sensor monitoring data includes: voltage, current, temperature, vibration and noise monitoring;

[0050] 2) The sensor monitoring data sampled in step 1) is converted into the MQTT message queue telemetry transmission protocol through the gateway and uploaded to the IoT platform; ensuring the effective transmission of data in a low-bandwidth, unreliable network environment;

[0051] 3) Establish a vibration model of the high-voltage reactor core affected by electromagnetic forces in an alternating electromagnetic field on a multi-physics simulation platform, export it to a data format supported by the MQTT protocol, and upload it to the Internet of Things platform;

[0052] 4) Perform data fusion on the monitoring data in steps 2) and 3) and the constructed geometric model on the Internet of Things platform to monitor the operating status of the high-voltage reactor in real time and achieve digital twin of the high-voltage reactor;

[0053] Further, the simulation model of the high-voltage reactor is specifically as follows: Model the core in a multi-physics simulation software to analyze its vibration situation under electromagnetic forces. According to vibration theory, the differential equation of system vibration is represented by a matrix as:

[0054]

[0055] In the formula, [M] is the structural mass matrix; [K] is the structural stiffness matrix; is the generalized acceleration column matrix; {X} is the generalized displacement column matrix. When the reactor is in the operating condition, the exciting force generated by the alternating magnetic field acts on the system. The right side of formula (1) is no longer zero, but the exciting force. For the reactor, the differential equation of the system is expressed as

[0056]

[0057] P represents the amplitude of the electromagnetic force, F represents the electromagnetic force vector, and the particular solution of this equation is also:

[0058]

[0059] X N represents the vibration amplitude of the Nth measurement point, represents the phase angle of the Nth measurement point, Xn represents the vibration amplitude of the Nth

[0060] measurement point, fain represents the phase angle of the Nth measurement point, that is, when the system is only affected by the electromagnetic exciting force of the reactor itself, the vibration frequency of each measurement point of the system is the same as the exciting frequency, which is 2f = 100Hz.

[0061] Further, exporting the constructed simulation model of the high-voltage reactor core affected by electromagnetic forces in an alternating electromagnetic field to a data format supported by the MQTT protocol specifically includes:

[0062] It includes a topic and a payload. The topic is used to identify the source or type of data, and the payload contains the actual monitoring data or simulation model data.

[0063] Further, in step 4), the monitoring data in steps 2) and 3) is fused with the constructed geometric model on the Internet of Things platform, which specifically includes:

[0064] The data fusion adopts a timestamp-based synchronization method to match the real-time monitoring data with the time series data of the simulation model. The specific steps include: ① Align the time of the monitoring data and the simulation model data to ensure that the data at the same time point of both can correspond; ② Use interpolation or extrapolation methods to supplement the missing data; ③ Through the data processing layer of the Internet of Things platform, weight and fuse the monitoring data and the output data of the simulation model to generate comprehensive data reflecting the real-time state of the high-voltage reactor.

[0065] Further, the Internet of Things platform includes a data access layer, a processing layer, and an application layer. The data access layer is responsible for data collection and protocol conversion. The processing layer realizes the fusion analysis of data and models. The application layer provides a user interface for real-time invocation and visualization monitoring of the model.

[0066] Further, the fusion of the electromagnetic force, the simulation model, and the actual monitoring data on the Internet of Things platform updates the digital twin in a data-driven manner in real time, enabling the model to reflect the real-time state of the high-voltage reactor under specific operating conditions, and enhancing the accuracy and timeliness of state monitoring.

[0067] Further, the real-time update of the digital twin in a data-driven manner specifically includes:

[0068] Real-time collect the monitoring data of the high-voltage reactor and upload it to the Internet of Things platform through the MQTT protocol;

[0069] Compare and analyze the monitoring data with the output data of the simulation model to calculate the error or deviation;

[0070] According to the error or deviation, adjust the parameters or input conditions of the simulation model to make the model output closer to the actual monitoring data;

[0071] Re-import the updated model data into the Internet of Things platform to achieve real-time update of the digital twin.

[0072] The systems, devices, modules, or units illustrated in the above embodiments can be specifically implemented by computer chips or entities, or by products with certain functions.

[0073] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, commodity or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising said element.

[0074] The above embodiments should be understood as being only for illustrative purposes of the present invention and not for limiting the scope of protection of the present invention. After reading the content described in the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims

1. A method for realizing digital twin of high-voltage reactor based on Internet of Things platform, characterized in that: The following steps are involved: 1) Sample the high-voltage reactor monitoring data and upload it to the IoT platform. The sampled sensor monitoring data includes: voltage, current, temperature, vibration and noise monitoring; 2) The sensor monitoring data sampled in step 1) is converted into the MQTT message queue telemetry transmission protocol through the gateway and uploaded to the IoT platform; ensuring the effective transmission of data in a low-bandwidth, unreliable network environment; 3) Establish a vibration model of the high-voltage reactor core affected by electromagnetic force in an alternating electromagnetic field on a multi-physics field simulation platform, export it into a data format supported by the MQTT protocol, and upload it to the Internet of Things platform; 4) The monitoring data in steps 2) and 3) are integrated with the constructed geometric model on the Internet of Things platform to monitor the operating status of the high-voltage reactor in real time and realize the digital twin of the high-voltage reactor.

2. According to a method for realizing a digital twin of a high-voltage reactor based on an Internet of Things platform according to claim 1, it is characterized in that: The simulation model of the high-voltage reactor is specifically as follows: the core is modeled and analyzed in the multi-physics field simulation software to analyze its vibration under electromagnetic force. According to the vibration theory, the differential equation of the system vibration is expressed in a matrix as follows: Where [M] is the structural mass matrix; [K] is the structural stiffness matrix; is the generalized acceleration array; {X} is the generalized displacement array. When the reactor is in operation, the exciting force generated by the alternating magnetic field acts on the system. The right side of the equal sign in formula (1) is no longer zero, but the exciting force for the reactor. The differential equation of the system is expressed as Where: f is 50Hz, P represents the electromagnetic force amplitude, F represents the electromagnetic force vector, and the special solution table of the equation is also: X N Indicates the vibration amplitude of the Nth measuring point, Indicates the phase angle of the Nth measuring point, Xn indicates The vibration amplitude of the Nth measuring point, fain represents the phase angle of the Nth measuring point, that is, when the system is only subjected to the electromagnetic excitation force of the reactor itself, the vibration frequency of each measuring point in the system is consistent with the excitation frequency, which is 2f=100Hz.

3. The method for realizing a digital twin of a high-voltage reactor based on an Internet of Things platform according to claim 1 is characterized in that: The exporting of the constructed simulation model of the high-voltage reactor core subjected to electromagnetic force in the alternating electromagnetic field into a data format supported by the MQTT protocol specifically includes: It includes a topic and a payload. The topic is used to identify the source or type of data, while the payload contains the actual monitoring data or simulation model data.

4. According to a method for realizing a digital twin of a high-voltage reactor based on an Internet of Things platform according to claim 3, it is characterized in that: The step 4) performs data fusion of the monitoring data in steps 2) and 3) with the constructed geometric model on the Internet of Things platform, specifically including: Data fusion uses a timestamp-based synchronization method to match real-time monitoring data with the time series data of the simulation model. The specific steps include: ① Time alignment of monitoring data and simulation model data to ensure that the data of the two at the same time point can correspond; ② Use interpolation or extrapolation methods to supplement missing data; ③ Through the data processing layer of the Internet of Things platform, the monitoring data and the output data of the simulation model are weighted and fused to generate comprehensive data reflecting the real-time status of the high-voltage reactor.

5. The method for realizing a digital twin of a high-voltage reactor based on an Internet of Things platform according to claim 1 is characterized in that: The Internet of Things platform includes a data access layer, a processing layer and an application layer. The data access layer is responsible for data collection and protocol conversion, the processing layer realizes the fusion analysis of data and models, and the application layer provides a user interface for real-time calling and visual monitoring of models.

6. The method for realizing a digital twin of a high-voltage reactor based on an Internet of Things platform according to claim 1, characterized in that: The electromagnetic force, simulation model and actual monitoring data are integrated on the Internet of Things platform, and the digital twin is updated in real time in a data-driven manner, so that the model can reflect the real-time status of the high-voltage reactor under specific operating conditions, thereby enhancing the accuracy and timeliness of status monitoring.

7. The method for realizing a digital twin of a high-voltage reactor based on an Internet of Things platform according to claim 1 is characterized in that: The real-time updating of the digital twin in a data-driven manner specifically includes: Collect monitoring data of high-voltage reactors in real time and upload it to the IoT platform via the MQTT protocol; Compare and analyze the monitoring data with the output data of the simulation model and calculate the error or deviation; According to the error or deviation, adjust the parameters or input conditions of the simulation model to make the model output closer to the actual monitoring data; Re-import the updated model data into the IoT platform to achieve real-time updates of the digital twin.

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