Digital twin increment transmission method and system for power transmission and transformation equipment

Abstract

The invention discloses a digital twinning incremental transmission method and system for power transmission and transformation equipment, and relates to the technical field of power system monitoring and digital twinning, and the method comprises the steps: collecting the operation data of the power transmission and transformation equipment in real time; constructing a first time sequence, establishing a digital twinborn model and constructing a second time sequence; comparing the first time sequence with the second time sequence and calculating a difference; adjusting the digital twinborn model according to the difference obtained by calculation; transmitting the adjusted parameters of the digital twinborn model to a central control system in an increment manner to realize real-time updating of the digital twinborn model; according to the invention, the data transmission efficiency and accuracy are improved; a system framework of a digital twinning technology in a power transmission system is constructed, a time sequence differentiation comparison method based on distance measurement is provided, transmission path construction with good RD performance is realized by using a successive approximation method, and more efficient technical support is provided for state monitoring, fault early warning and optimization control of power transmission and transformation equipment.

Description

Technical Field

[0001] The present invention relates to the field of power system monitoring and digital twin technology, and in particular to a method and system for digital twin incremental transmission of power transmission and transformation equipment. Background Art

[0002] The power system is an indispensable infrastructure in modern society, providing a continuous and stable supply of electricity to various fields. However, with the expansion of the scale of the power system and the increase in load, the monitoring and management of its operating status has become increasingly important.

[0003] Traditional monitoring methods for power systems often seem to be unable to cope with the increasing amount and complexity of data. These methods not only need to process massive amounts of data, but also often have difficulty ensuring real-time updates of monitoring information, which is a serious flaw in rapidly changing power systems. In addition, traditional methods are not flexible enough to cope with complex dynamic changes within the system and are difficult to adapt to various emergencies in power system operation. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: how to improve the accuracy of power system monitoring and optimize the operating efficiency and reliability of the power system.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a digital twin incremental transmission method for power transmission and transformation equipment, including:

[0008] Collect the operation data of power transmission and transformation equipment in real time;

[0009] Construct a first time series based on the operating data, establish a digital twin model, and construct a second time series;

[0010] comparing the first time series to the second time series and calculating the difference;

[0011] Adjust the digital twin model based on the calculated differences;

[0012] The adjusted parameters of the digital twin model are transmitted to the central control system in an incremental manner to achieve real-time updating of the digital twin model.

[0013] As a preferred solution for the incremental transmission method of digital twins of power transmission and transformation equipment, it:

[0014] The real-time collection of operation data of power transmission and transformation equipment includes:

[0015] Install high-precision sensors on power transmission and transformation equipment to collect real-time operating data of the equipment, including voltage, current, and temperature.

[0016] As a preferred solution for the incremental transmission method of digital twins of power transmission and transformation equipment, it:

[0017] The comparing the first time series with the second time series and calculating the difference comprises:

[0018] Assume two change point configurations and Among them, C1 and C2 are ordered sets. and The distance between is defined as:

[0019]

[0020] where |mk| assigns one point to the difference in the number of change points between the two configurations, Reflects from the collection Match the change point position to the set The minimum cost of is calculated by the following linear assignment:

[0021]

[0022] As a preferred solution for the incremental transmission method of digital twins of power transmission and transformation equipment, it:

[0023] The comparing the first time series with the second time series and calculating the difference further comprises:

[0024] in, c ij is to convert τ i Assign to η j The cost is defined as:

[0025]

[0026] Among them, x ij is a decision variable with two possible values: 0 and 1. If τ i Assigned to η j , then the value is 1, otherwise the value is 0.

[0027] As a preferred solution for the incremental transmission method of digital twins of power transmission and transformation equipment, it:

[0028] The adjusting of the digital twin model according to the calculated difference includes:

[0029] The sensor network nodes perform compressed sensing encoding on the collected signals, and the coded signal is configured with a distortion operation point (M, B), where M represents the number of measurements and B represents the bit depth;

[0030] The node is configured according to the distortion operating point (M i ,B i ), use B i Bit Code M i Measure the values ​​and transmit them to the sink node.

[0031] As a preferred solution for the incremental transmission method of digital twins of power transmission and transformation equipment, it:

[0032] The adjusting the digital twin model according to the calculated difference also includes:

[0033] The node uses the successive approximation method to gradually transmit the CS measurement value; for each operating point (M i ,B i ), the sink node adjusts the target rate increment ΔR according to demand i , thus selecting a new operating point (M i +ΔM i ,B i +ΔB i ), ensuring that the transmission path follows the optimal rate-distortion curve in the M×B space.

[0034] As a preferred solution for the incremental transmission method of digital twins of power transmission and transformation equipment, it:

[0035] The adjusting the digital twin model according to the calculated difference also includes:

[0036] A successive approximation table is pre-built, and the successive approximation table maps the path from the current operating point to the next RD optimal operating point; each (M, B) pair in the table represents a potential operating point for the sensor node to select;

[0037] The sensor nodes dynamically adjust the amount of data transmitted according to the needs of the sink node, and gradually improve the signal reconstruction quality by increasing the number of measurements or bit depth.

[0038] In a second aspect, an embodiment of the present invention provides a digital twin incremental transmission system for power transmission and transformation equipment, including:

[0039] Data acquisition module, used to collect the operation data of power transmission and transformation equipment in real time;

[0040] A time series construction module, for constructing a first time series based on the operating data, establishing a digital twin model, and constructing a second time series;

[0041] A difference calculation module, used for comparing the first time series with the second time series and calculating the difference;

[0042] An adjustment module, used to adjust the digital twin model according to the calculated differences;

[0043] The update module is used to transmit the adjusted parameters of the digital twin model to the central control system in an incremental manner to achieve real-time update of the digital twin model.

[0044] In a third aspect, an embodiment of the present invention provides a computing device, including:

[0045] Memory and processor;

[0046] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the one or more programs are executed by the one or more processors, the one or more processors implement the digital twin incremental transmission method for power transmission and transformation equipment as described in any embodiment of the present invention.

[0047] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the digital twin incremental transmission method of power transmission and transformation equipment.

[0048] The beneficial effects of the present invention are as follows: the present invention improves the efficiency and accuracy of data transmission; constructs a system framework of digital twin technology in the power transmission system, proposes a time series differentiation comparison method based on distance measurement, and finally proposes to use the successive approximation method to achieve the construction of a transmission path with good RD performance, thereby providing more efficient technical support for the status monitoring, fault warning and optimization control of power transmission and transformation equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0050] Figure 1 It is an overall flow chart of the incremental transmission method of digital twin of power transmission and transformation equipment described in the first embodiment of the present invention;

[0051] Figure 2 It is a schematic diagram of the digital twin technology with a complete sensor network for the digital twin incremental transmission method of power transmission and transformation equipment described in the first embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0053] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0054] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0055] Example 1

[0056] Reference Figure 1-Figure 2 , which is the first embodiment of the present invention, and provides a digital twin incremental transmission method for power transmission and transformation equipment, comprising:

[0057] S1: Real-time collection of operating data of power transmission and transformation equipment;

[0058] S2: construct the first time series based on the operating data, establish the digital twin model and construct the second time series;

[0059] S3: compare the first time series with the second time series and calculate the difference;

[0060] S4: Adjust the digital twin model based on the calculated differences;

[0061] S5: The adjusted parameters of the digital twin model are transmitted to the central control system in an incremental manner to realize real-time updating of the digital twin model.

[0062] In the embodiment of the present application, the real-time collection of operation data of the power transmission and transformation equipment in the above step S1 includes:

[0063] Install high-precision sensors on power transmission and transformation equipment to collect real-time operating data of the equipment, including voltage, current, and temperature.

[0064] In an embodiment of the present application, constructing a first time series based on the operating data, establishing a digital twin model, and constructing a second time series in the above step S2 includes:

[0065] Digital twin is a process and method that uses digital technology to describe and simulate the characteristics, behavior, formation process and performance of physical objects. It can also be called digital twin technology. A digital twin model refers to a virtual model that completely corresponds to and is consistent with a physical entity in the real world, and can simulate its behavior and performance in a real-time environment in real time. Digital twin is a technology, process and method, while a digital twin model is an object, model and data. Digital twin technology not only uses existing theories and knowledge to build virtual models, but also uses virtual model simulation technology to explore and predict unknown situations to avoid incorrect responses when emergencies occur. In the power system, a schematic diagram of digital twin technology with a complete sensor network is shown below. Figure 2 shown.

[0066] It should also be noted that digital twin technology provides a real-time updated virtual mirror for power transmission by integrating sensor data and physical models. The applications of this technology include: real-time monitoring, through real-time data collected by sensors, the digital twin model can reflect the actual operating status of power transmission and transformation equipment; prediction and optimization, using historical data and real-time data, the digital twin model can predict the future status of equipment and provide decision support for operation optimization; fault diagnosis and maintenance, by comparing sensor data and model predictions, faults can be quickly located and maintenance work can be guided.

[0067] In the embodiment of the present application, comparing the first time series and the second time series and calculating the difference in the above step S3 includes:

[0068] Assume two change point configurations and Among them, C1 and C2 are ordered sets. and The distance between is defined as:

[0069]

[0070] where |mk| assigns one point to the difference in the number of change points between the two configurations, Reflects from the collection Match the change point position to the set The minimum cost of is calculated by the following linear assignment:

[0071]

[0072] in, c ij is to convert τ i Assign to η j The cost is defined as:

[0073]

[0074] Among them, x ij is a decision variable with two possible values: 0 and 1. If τ i Assigned to η j , then the value is 1, otherwise the value is 0.

[0075] It should be noted that it can be verified A legal distance is defined that satisfies the triangle inequality. The term can be proven to be bounded and measures the degree of match between two change point configurations (at most min(m,k)). The larger the distance, the worse the two configurations correspond. This embodiment will use this distance to compare the estimated multiple change point configurations with the true configuration. Linear allocation The minimum cost of is always unique, that is, two different allocations give the same minimum cost.

[0076] It should also be noted that this step proposes a new distance metric for comparing multiple change points in time series analysis, two key aspects of change point analysis: the number of change points and their locations. Most change point methods are not designed to optimize these aspects, but rather to optimize the homogeneity of model fit or parameter values. In order to balance these two key aspects, the metric in this step requires two components. The first is a measure of the difference in the number of change points, which this step uses absolute differences to represent. The second component will measure the difference in the locations of the change points. This is more difficult to quantify because the number of change points in two configurations may be different, requiring a "matching process". Therefore, in order to better compare different change point techniques, this step proposes a distance metric to measure two change point configurations.

[0077] Using the above method, before data transmission, change point detection technology can be used to identify key change points in the time series, and then only these change points and related information are transmitted instead of the entire time series, which can reduce the load of data transmission. By identifying and transmitting change points, the amount of data that needs to be transmitted can be reduced, thereby achieving data compression. This method is particularly suitable for time series that contain a large number of similar data points, where only a few change points contain important information. In addition, when comparing time series data from different sources, change point detection can identify and align corresponding events or changes in the series, achieving data synchronization and accurate comparison of data.

[0078] In the embodiment of the present application, adjusting the digital twin model according to the calculated difference in the above step S4 includes:

[0079] The sensor network nodes perform compressed sensing encoding on the collected signals, and the coded signal is configured with a distortion operation point (M, B), where M represents the number of measurements and B represents the bit depth;

[0080] The node is configured according to the distortion operating point (M i ,B i ), use B i Bit Code M i The total cost of measuring the values ​​and transmitting them to the sink node is Ri = M i B i Bit;

[0081] It should be noted that this operation point defines the initial operation point in the M×B space (M i ,B i ).

[0082] The node uses the successive approximation method to gradually transmit the CS measurement value; for each operating point (M i ,B i ), the sink node adjusts the target rate increment ΔR according to demand i , thus selecting a new operating point (M i +ΔM i ,B i +ΔB i ), ensuring that the transmission path follows the optimal rate-distortion curve in the M×B space;

[0083] A successive approximation table is pre-built, and the successive approximation table maps the path from the current operating point to the next RD optimal operating point; each (M, B) pair in the table represents a potential operating point for the sensor node to select;

[0084] The sensor nodes dynamically adjust the amount of data transmitted according to the needs of the sink node, and gradually improve the signal reconstruction quality by increasing the number of measurements or bit depth.

[0085] It should be noted that this dynamic adjustment allows the node to switch between different RD operating points to adapt to changes in network conditions and application requirements.

[0086] It should also be noted that in wireless sensor networks, energy constraints on sensor nodes are a core issue. In order to extend the life cycle of the network, energy consumption must be reduced while ensuring the quality of signal reconstruction. Traditional compressed sensing (CS) coding may require all compressed and quantized coefficients to be transmitted at once, which may not be optimal in terms of energy consumption. Therefore, this step proposes an incremental transmission scheme that allows sensor nodes to gradually transmit more information according to the needs of the sink node, thereby dynamically adjusting between different rate-distortion (RD) operating points.

[0087] Once the sensor network node signal is encoded, the distortion operating point (M, B) can be configured. Improving the reconstructed signal at the sink node means that more bits are needed. One possible approach is to retransmit the signal, but this wastes resources. On the other hand, scalability can be pursued. That is, the incremental transmission framework of sensor network signals using CS coding proposed in this step achieves this. This ensures good RD performance while saving resources, thereby saving energy at the sensor node. Additional bits are transmitted to refine known quantized CS coefficients or to convey unknown coefficients, thereby improving signal reconstruction in an incremental manner. This strategy maintains RD performance as much as possible because any additional bits transmitted by the node are used for reconstruction rather than replacing previously known coefficients. Obviously, this strategy allows energy to be saved at the sensor node. This step proposes a successive approximation scheme that allows nodes to gradually transmit CS measurements. Let a given node use B i Bit Code M i Measuring values ​​and transmitting them costs a total of Ri = M i B i bits; this defines the operating point in the M×B space (M i ,B i ). Assume that the sink node (decoder) needs more information to generate a better reconstructed signal version, subject to ΔR i The increment must improve the RD performance while staying as close as possible to the optimal RD point. In any case, ΔRi corresponds to choosing a new operating point (M i +ΔM i ,B i +ΔB i ). ΔB i and ΔM i The corresponding increase in transmission bits is:

[0088] ΔR i =M i ΔB i +ΔM i B i +ΔM i ΔB i

[0089] Among them, M i and B i is known. i can be viewed as the target rate increment required at the convergence point, which presents a mapping from the target to the increase in the number of bits and measurements that lead to the new operating point. For the optimal solution, it is hoped that the sequence of operating points resulting from the additional transmissions will provide a path along the optimal RD curve. Therefore, each (M j ,B j )=(M i+ΔM i ,B i +ΔB i ) should meet the following requirements:

[0090]

[0091] in is the distortion function, and k is the new candidate set, which means that from (M i ,B i ), we must find the (M j ,B j ), which makes the transmission path have the best RD trade-off.

[0092] The incremental transmission scheme is based on the successive approximation quantization of the encoded sensor measurements. In CS, the sparse representation of the signal allows the system to capture the key features of the signal through linear measurements without transmitting the entire signal. This strategy allows sensor nodes to transmit only quantization refinements or additional CS coefficients instead of replacing previously known values, thus saving energy. The advantage of this approach is that the amount of data transmitted can be dynamically adjusted according to the needs of the sink node, achieving fine control over the RD performance.

[0093] On the M×B (number of measurements × bit depth) plane, the sensor node moves from an operating point (M i ,B i ) moves to another operating point (M j ,B j ), in response to the sink node’s need for more information. The movement of the operating point can be achieved by increasing the number of measurements or increasing the bit depth. In this way, the sensor node can operate along the optimal RD curve to achieve the required rate with minimal distortion. This framework allows sensor nodes to dynamically adjust between different RD operating points to adapt to changes in network conditions and application requirements.

[0094] In order to achieve incremental transmission, a successive approximation table needs to be pre-built, which maps the path from the current operating point to the next RD optimal operating point. The table is based on the pre-defined target rate increment (ΔR i ) and possible measurement quantity increments (ΔM i ) to calculate the corresponding bit depth increment (ΔB i ). Through this algorithm, a table containing multiple (M, B) pairs can be generated, each pair represents a potential operating point, thus providing a range of possible transmission options for the sensor node. This process involves the evaluation of different RD operating points to determine the best transmission strategy.

[0095] The algorithm iteratively calculates the corresponding bit depth increment for each possible measurement quantity increment to determine the optimal RD operating point. This process needs to take into account the sparsity of the signal and the nonlinear characteristics of the CS encoding and quantization process.

[0096] In the embodiment of the present application, in the above step S5, the parameters of the adjusted digital twin model are transmitted to the central control system in an incremental manner, and the real-time update of the digital twin model is realized, including:

[0097] Parameter extraction and compression:

[0098] Extract update parameters: Extract the parameters that need to be updated from the adjusted digital twin model. These parameters include model coefficients, state variables, prediction error correction values, etc.

[0099] Data compression: compress the extracted parameters to reduce the amount of data transmitted. Common compression methods include differential coding, entropy coding, quantization, etc. Compressed data can significantly reduce transmission time and bandwidth usage.

[0100] Incremental calculation and packaging:

[0101] Incremental calculation: Calculate the incremental difference between this update and the previous update. The core of incremental transmission is to only transmit the changed part, not the complete data. By calculating the increment, the amount of data transmitted can be further reduced.

[0102] Data packaging: The calculated incremental data is packaged into a data packet for easy transmission. Necessary metadata such as timestamp, data type, checksum, etc. can be added during the packaging process to ensure the integrity and reliability of the data.

[0103] Transmission path selection:

[0104] Select the transmission path: Select the appropriate transmission path based on the network topology and current network status. The paths include direct transmission to the central control system, transit through intermediate nodes, etc. When selecting a path, you need to consider the transmission delay and reliability.

[0105] Optimize transmission strategy: Select the appropriate transmission strategy based on the actual situation. For example, when the network bandwidth is limited, you can use batch transmission and prioritize important data transmission.

[0106] Data transmission:

[0107] Transport protocol selection: Select an appropriate transport protocol, such as TCP / IP, UDP, etc. The TCP protocol is suitable for ensuring the reliability of data transmission, while the UDP protocol is suitable for scenarios with high latency requirements.

[0108] Data transmission: The packaged incremental data is sent to the central control system through the selected transmission path and protocol. Flow control, congestion control and other technologies can be used during the transmission process to ensure the stability and efficiency of data transmission.

[0109] Central control system receiving and unpacking:

[0110] Receiving data: After receiving the incremental data packet, the central control system first performs a data integrity check, such as checksum verification, to ensure that the received data is not damaged.

[0111] Unpacking and incremental application: Unpack the data packet and extract the incremental data. The central control system applies this incremental data to the existing digital twin model to achieve real-time update of the model. The incremental parameters need to be decompressed and restored during the update process.

[0112] Model update and verification:

[0113] Parameter update: After the central control system applies the incremental data to the existing model, it updates the model's parameters to ensure that the model remains consistent with the operating status of the actual equipment.

[0114] Model validation: The updated model needs to be validated to ensure that its predictions are consistent with the actual data. The accuracy of the model can be evaluated by comparing it with real-time sensor data.

[0115] Feedback and Adjustment:

[0116] Feedback information: The central control system can provide feedback to the sender on the received incremental data and application results, ensuring that the sender understands whether the update was successful.

[0117] Adjust strategy: According to feedback information and actual operation conditions, adjust the strategy and parameters of incremental transmission to optimize transmission efficiency and accuracy of model update.

[0118] The above is a schematic scheme of the digital twin incremental transmission method for power transmission and transformation equipment of this embodiment. It should be noted that the technical scheme of the digital twin incremental transmission system for power transmission and transformation equipment and the technical scheme of the digital twin incremental transmission method for power transmission and transformation equipment described above belong to the same concept. For details not described in detail in the technical scheme of the digital twin incremental transmission system for power transmission and transformation equipment in this embodiment, please refer to the description of the technical scheme of the digital twin incremental transmission method for power transmission and transformation equipment described above.

[0119] In this embodiment, the digital twin incremental transmission system of power transmission and transformation equipment includes:

[0120] Data acquisition module, used to collect the operation data of power transmission and transformation equipment in real time;

[0121] A time series construction module, for constructing a first time series based on the operating data, establishing a digital twin model, and constructing a second time series;

[0122] A difference calculation module, used for comparing the first time series with the second time series and calculating the difference;

[0123] An adjustment module, used to adjust the digital twin model according to the calculated differences;

[0124] The update module is used to transmit the adjusted parameters of the digital twin model to the central control system in an incremental manner to achieve real-time update of the digital twin model.

[0125] This embodiment further provides a computing device, which is applicable to the case of a digital twin incremental transmission method for power transmission and transformation equipment, including:

[0126] Memory and processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the digital twin incremental transmission method of power transmission and transformation equipment proposed in the above embodiment.

[0127] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the incremental transmission method of digital twin of power transmission and transformation equipment proposed in the above embodiment is implemented.

[0128] The storage medium proposed in this embodiment and the digital twin incremental transmission method of power transmission and transformation equipment proposed in the above embodiment belong to the same inventive concept. For technical details not described in detail in this embodiment, please refer to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0129] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A digital twin incremental transmission method for power transmission and transformation equipment, characterized in that: include: Collect the operation data of power transmission and transformation equipment in real time; Construct a first time series based on the operating data, establish a digital twin model, and construct a second time series; comparing the first time series to the second time series and calculating the difference; Adjust the digital twin model based on the calculated differences; The adjusted parameters of the digital twin model are transmitted to the central control system in an incremental manner to achieve real-time updating of the digital twin model.

2. The digital twin incremental transmission method for power transmission and transformation equipment according to claim 1, characterized in that: The real-time collection of operation data of power transmission and transformation equipment includes: Install high-precision sensors on power transmission and transformation equipment to collect real-time operating data of the equipment, including voltage, current, and temperature.

3. The digital twin incremental transmission method for power transmission and transformation equipment according to claim 2, characterized in that: The comparing the first time series with the second time series and calculating the difference comprises: Assume two change point configurations and Among them, C1 and C2 are ordered sets. and The distance between is defined as: where |mk| assigns one point to the difference in the number of change points between the two configurations, Reflects from the collection Match the change point position to the set The minimum cost of is calculated by the following linear assignment:

4. The digital twin incremental transmission method for power transmission and transformation equipment according to claim 3, characterized in that: The first time series is compared with the second time series and the difference is calculated. include: in, c ij is to convert τ i Assign to η j The cost is defined as: Among them, x ij is a decision variable with two possible values: 0 and 1. If τ i Assigned to η j , then the value is 1, otherwise the value is 0.

5. The digital twin incremental transmission method for power transmission and transformation equipment according to claim 4, characterized in that: The adjusting of the digital twin model according to the calculated difference includes: The sensor network node performs compressed sensing encoding on the collected signal, and the coded signal is configured with a distortion operation point (M, B), where M represents the number of measurements and B represents the bit depth; The node is configured according to the distortion operating point (M i , B i ), use B i Bit Code M i Measure the values ​​and transmit them to the sink node.

6. The digital twin incremental transmission method for power transmission and transformation equipment according to claim 5, characterized in that: The adjusting the digital twin model according to the calculated difference also includes: The node uses the successive approximation method to gradually transmit the CS measurement value; for each operating point (M i , B i ), the sink node adjusts the target rate increment ΔR according to demand i , thus selecting a new operating point (M i +ΔM i , B i +ΔB i ), ensuring that the transmission path follows the optimal rate-distortion curve in the M×B space.

7. The digital twin incremental transmission method for power transmission and transformation equipment according to claim 6, characterized in that: The adjusting the digital twin model according to the calculated difference also includes: A successive approximation table is pre-built, and the successive approximation table maps the path from the current operating point to the next RD optimal operating point; each (M, B) pair in the table represents a potential operating point for the sensor node to select; The sensor nodes dynamically adjust the amount of data transmitted according to the needs of the sink node, and gradually improve the signal reconstruction quality by increasing the number of measurements or bit depth.

8. A system using the digital twin incremental transmission method of power transmission and transformation equipment as claimed in any one of claims 1 to 7, characterized in that: include: Data acquisition module, used to collect the operation data of power transmission and transformation equipment in real time; A time series construction module, for constructing a first time series based on the operating data, establishing a digital twin model, and constructing a second time series; A difference calculation module, used for comparing the first time series with the second time series and calculating the difference; An adjustment module, used to adjust the digital twin model according to the calculated differences; The update module is used to transmit the adjusted parameters of the digital twin model to the central control system in an incremental manner to achieve real-time update of the digital twin model.

9. A computing device comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the digital twin incremental transmission method for power transmission and transformation equipment described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the digital twin incremental transmission method for power transmission and transformation equipment as described in any one of claims 1 to 7.

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