Transformer substation logic model construction method and system based on digital twinning

Abstract

The invention discloses a transformer substation logic model construction method and system based on digital twinning, and relates to the technical field of model construction, and the system comprises a data integration end, a model tracking end and a model prediction end; the data integration end is used for acquiring transformer substation parameters, the model tracking end is used for predicting whether the construction of a transformer substation logic model is abnormal or not in real time according to the transformer substation parameters tracked at the current moment by tracking the construction process of the transformer substation logic model in real time, and the model prediction end is used for predicting whether the construction of the transformer substation logic model is abnormal or not by receiving the transformer substation parameters in real time. And carrying out heterogeneous integration optimization on the arranged and classified data in real time to obtain a transformer substation logic model. According to the transformer substation logic model construction method and system based on digital twinning, data received during construction of the transformer substation logic model is prevented from being illegally acquired or tampered during transmission, whether the transformer substation logic model meets future development requirements or not is further predicted, and the accuracy of construction of the transformer substation logic model is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of model building, and in particular to a method and system for building a substation logic model based on digital twins. Background Art

[0002] A digital twin is a virtual, digital entity that corresponds to an entity in the real world. It uses sensors, data analysis, and simulation technology to model and simulate physical entities in the real world. It simulates and optimizes production processes and equipment operation to improve production efficiency and equipment utilization, reduce production costs, and simulates and analyzes quality control indicators in the production process to promptly discover and correct quality problems, improve product quality and customer satisfaction. With the rapid development of science and technology, digital twins are also widely used in the construction of substation logic models.

[0003] Application No. CN202311768634.7 discloses a method and terminal for constructing a logical model of a twin application substation, determines the architecture information of the substation logical model, establishes the substation logical model according to the architecture information using a semantic-based XML configuration file, digitally models the substation logical model, and obtains the entire substation logical model. That is, the semantic-based XML configuration file can better describe the components and logical relationships of the substation, realizes the rapid construction and update of the substation logical model, and thus flexibly and efficiently constructs the logical model.

[0004] After searching the above patents, it was found that there are some deficiencies in the construction of the substation logic model based on digital twins: 1. The substation logic model based on digital twins contains a large amount of false data, such as equipment status and control instructions. These data are easily illegally obtained or tampered with during transmission, which makes it easy to threaten the safe operation of the substation during model construction, affecting the safety and reliability of the construction of the substation logic model; 2. When the substation logic model is constructed, it is impossible to warn in advance whether the substation logic model is abnormal, resulting in the model being unable to solve fault diagnosis or abnormal status in advance, and unable to predict whether the substation logic model meets future development needs, affecting the timely judgment of the feasibility of substation logic model construction; 3. Since the substation involves a wide variety of data types, including electrical parameters, equipment status, and environmental information, these data come from different systems and equipment. After integrating and optimizing these heterogeneous data to obtain the substation logic model, the accuracy of data format conversion and real-time synchronization of data may increase the difficulty of data integration.

[0005] Therefore, a substation logic model construction method and system based on digital twin are proposed to solve the above problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a method and system for constructing a substation logic model based on digital twins to solve the problems raised in the above background.

[0007] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a method and system for constructing a substation logic model based on digital twin, including a model prediction end, a model tracking end and a data integration end;

[0008] The model tracking terminal is used to collect substation parameters, arrange and classify them in sequence, filter the arranged and classified data in real time to construct the substation parameters when the substation logic model is constructed, and set the real-time protection of the substation receiving data when the protection enhancement module real-time protection model is constructed;

[0009] The model prediction end is used to track the construction process of the substation logic model in real time, predict whether the construction of the substation logic model is abnormal in real time according to the substation parameters tracked at the current moment, and determine whether the construction of the substation logic model is feasible;

[0010] The data integration terminal is used to receive data enhancement parameters in real time, perform sequence number comparison to determine data anomalies, and perform heterogeneous integration and optimization of valid data in real time to obtain a substation logic model.

[0011] The model tracking end includes a data screening module, a model corresponding module and a protection enhancement module;

[0012] The data screening module includes a data screening unit and a data recording unit;

[0013] The data screening unit is used to collect substation parameters through a data acquisition instrument. The substation parameters include electrical parameters, equipment status parameters and environmental information parameters, and perform data screening. The screening method is as follows:

[0014] Step 1: Set at least one of electrical, equipment status and environmental information as the primary screening condition, and at least one of value, date, attribute and equipment location information as the secondary screening condition, and substitute them into the data screening formula. The formula is as follows:

[0015]

[0016] Among them, q is the set primary screening condition, d is the data document in the screening information, and F i (d,q) is the similarity value of the i-th data in the screening data set d under the screening condition q, F t (t i ,d) is the secondary screening condition t iSimilar values ​​appearing in the screening data set d, V is the number of data to be screened selected according to the pre-screening conditions and the secondary screening conditions, N is a part of the cleaned data to be screened as the data screening number, n t The total number of data filters in the cleaned data filtering information;

[0017] Step 2: If F i (d,q) and F t (t i ,d) Calculate the difference between them. If the difference is equal to 0, it means the data is valid. If the difference is not equal to 0, it means the data is invalid.

[0018] The data recording unit is used to record the substation parameters with valid data in real time through a data recorder.

[0019] The arrangement and classification module includes a parameter arrangement unit and a parameter classification unit;

[0020] The parameter arrangement unit is used to arrange the substation parameters after data screening in order from small to large by Arabic numeral arrangement method;

[0021] The parameter classification unit is used to classify the substation parameters after data screening according to data attributes, and the categories include electrical parameters, equipment status parameters and environmental information parameters.

[0022] The protection enhancement module includes a data protection unit and a protection enhancement unit;

[0023] The data protection unit is used to perform data protection on the screened substation parameters through a hash algorithm;

[0024] The protection enhancement unit is used to calculate the data protection enhancement value of the substation parameter after data screening, and the calculation formula is as follows:

[0025]

[0026] Where L represents the data protection enhancement value of the substation parameter, d,s represents the data of the sth substation parameter; x d,s represents the primary coefficient of the sth substation parameter, y d,s represents the quadratic coefficient of the sth substation parameter, σ(x d,s ) represents the first standard deviation of the sth substation parameter, σ(y d,s ) represents the quadratic standard deviation of the s-th substation parameter, Pj(d,s) represents the probability of occurrence of the s-th substation parameter, N s It indicates the number of occurrences of the sth substation parameter. The substation parameter is protected in real time according to the calculated data protection enhancement value.

[0027] The model prediction end includes a data receiving module, a model tracking module, a model prediction module and a prediction correction module;

[0028] The data receiving module is used to receive the data-enhanced substation parameters in real time through a data receiver;

[0029] The model tracking module is used to track the substation parameters after data enhancement in real time according to the data tracker.

[0030] The model prediction module is used to predict whether the construction of the substation logic model is abnormal according to the substation parameters. The prediction method is as follows:

[0031] Set the standard environment information parameters, calculate the difference between the substation environment parameters detected at the current moment and the standard environment information parameters. If the difference is less than or equal to 0.5 or greater than or equal to -0.5, it means that the substation logic model is constructed normally. If the difference is greater than 0.5 or less than -0.5, it means that the substation logic model is constructed abnormally.

[0032] The prediction correction module includes an abnormality correction unit and a correction tracking unit;

[0033] The abnormal correction unit is used to correct the substation environmental parameters in real time according to the difference, specifically: if the difference is a positive number, the corresponding substation environmental parameter value is reduced, and if the difference is a negative number, the corresponding substation environmental parameter value is increased;

[0034] The correction tracking unit is used to track in real time through a data tracker whether the corrected substation environmental parameters are valid, and to calculate the difference between the substation environmental parameters before correction and the substation environmental parameters after correction. If the difference is equal to 0, it indicates that the correction is invalid, and if the difference is not equal to 0, it indicates that the correction is valid.

[0035] The data integration end includes a parameter receiving unit and a multi-parameter recording unit;

[0036] The parameter receiving unit is used to receive in real time the electrical parameters, equipment status parameters and environmental information parameters of the substation during the construction of the substation logic model through a data receiver;

[0037] The multi-parameter recording unit is used to record the electrical parameters, equipment status parameters and environmental information parameters of the substation in real time through a data recorder, and to arrange the electrical parameters, equipment status parameters and environmental information parameters in sequence from small to large using Arabic numeral sorting, and to generate a substation logic model based on the electrical parameters, equipment status parameters and environmental information parameters after the sequence arrangement.

[0038] The comparison and tracking module includes a sequence number comparison unit and a sequence number tracking unit;

[0039] The serial number comparison unit is used to collect the electrical parameters, equipment status parameters and environmental information parameters of the substation at the current moment in real time through the data acquisition instrument, and perform difference calculation between the serial numbers of the electrical parameters, equipment status parameters and environmental information parameters of the substation at the current moment and the serial numbers of the electrical parameters, equipment status parameters and environmental information parameters in the substation logic model. If the difference is equal to 0, it indicates that the data is normal, and if the difference is not equal to 0, it indicates that the data is abnormal;

[0040] The serial number tracking unit is used to track the serial number comparison results in real time through a data tracker, and report to the system to issue a voice alarm when the data is abnormal.

[0041] The integration optimization module includes a heterogeneous integration unit, an integration optimization unit and a model generation unit;

[0042] The heterogeneous integration unit is used to calculate similar values ​​of heterogeneous data from different data sources of electrical parameters, equipment status parameters and environmental information parameters of the substation using an autocorrelation algorithm. The calculation formula is as follows:

[0043]

[0044] Among them, S represents the similarity value of heterogeneous data from two different data sources, x i and x represent the parameter values ​​of two different data sources, n is the number of calculations, and B is the similarity adjustment coefficient, which ranges from 10 to 20;

[0045] The integration optimization unit is used to map and match similar values ​​of heterogeneous data from two different data sources, and the calculation formula is as follows:

[0046]

[0047] Among them, sim(d j ,d k ) represents the mapping matching optimization value of two different data sources, d j is the heterogeneous data matrix of the substation logical target, d k is the substation logical feature space group, and according to the mapping matching optimization value, the mapping matching optimization value sim(d j ,d k )The substation logic feature space group corresponding to the smallest value is used as the feature space corresponding to the substation logic target to complete the integration optimization between different heterogeneous data;

[0048] The model generation unit is used to construct a final logic model of the substation by integrating optimization results.

[0049] A method for constructing a substation logic model based on digital twins includes the following steps:

[0050] Step 1: Enter the model tracking terminal, collect substation parameters, and arrange and classify them in sequence. The arranged and classified data are filtered in real time to construct the substation parameters when the substation logic model is constructed, and the protection enhancement module is set to protect the substation receiving data in real time when the real-time protection model is constructed;

[0051] Step 2: Enter the model prediction end, track the substation logic model construction process in real time, and predict in real time whether the substation logic model construction is abnormal based on the substation parameters tracked at the current moment, and predict its feasibility;

[0052] Step 3: Enter the data integration terminal, receive the substation parameters after data processing in real time, compare the substation parameters by serial number to determine data anomalies, and then perform heterogeneous integration and optimization on the data in real time to obtain the substation logic model.

[0053] The present invention has the following beneficial effects:

[0054] 1. In the present invention, by setting a model tracking end, when constructing a substation logic model based on a digital twin, the data received during the construction of the substation logic model is screened in real time, and a protection enhancement module is set to provide real-time protection for the data received by the substation during the real-time protection model construction, thereby preventing the data received during the construction of the substation logic model from being illegally obtained or tampered with during transmission, avoiding threats to the safe operation of the substation during model construction, and increasing the safety and reliability of the construction of the substation logic model.

[0055] 2. In the present invention, by setting up a model prediction end, when constructing a substation logic model based on a digital twin, by real-time prediction of whether the construction of the substation logic model is abnormal, it is possible to predict in advance whether the construction of the substation logic model is feasible, and to give an early warning of whether the substation logic model is abnormal, thereby ensuring timely judgment on the feasibility of substation logic model construction.

[0056] 3. In the present invention, by setting up a data integration terminal, when constructing a substation logic model based on a digital twin, a more accurate substation logic model is obtained by heterogeneously integrating and optimizing the data. When constructing the substation logic model, a variety of heterogeneous data can be integrated and optimized to obtain the substation logic model, further ensuring the accuracy of the substation logic model construction and reducing the difficulty of data integration when constructing the substation logic model. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 A schematic diagram of the system architecture of a method and system for constructing a substation logic model based on digital twins according to the present invention;

[0058] Figure 2It is a schematic diagram of the architecture of a model tracking end of a substation logic model construction method and system based on digital twins of the present invention;

[0059] Figure 3 It is a schematic diagram of the architecture of a model prediction end of a substation logic model construction method and system based on digital twins of the present invention;

[0060] Figure 4 This is a schematic diagram of the architecture of a data integration end of a substation logic model construction method and system based on digital twins of the present invention. DETAILED DESCRIPTION

[0061] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0062] Embodiment 1

[0063] Please refer to Figure 1-Figure 2 As shown: A method and system for constructing a substation logic model based on digital twins, including a model prediction end, a model tracking end and a data integration end;

[0064] The model tracking end is used to collect substation parameters, arrange and classify them by serial number, filter the arranged and classified data in real time to construct the substation parameters when the substation logic model is constructed, and set the real-time protection of the substation receiving data when the protection enhancement module real-time protection model is constructed;

[0065] The model prediction end is used to track the construction process of the substation logic model in real time, and predict whether the construction of the substation logic model is abnormal in real time according to the substation parameters tracked at the current moment, and determine whether the construction of the substation logic model is feasible;

[0066] The data integration end is used to receive data enhancement parameters in real time, perform serial number comparison to determine data anomalies, and perform heterogeneous integration and optimization of valid data in real time to obtain a substation logic model.

[0067] The model tracking end includes a data screening module, a model corresponding module, and a protection enhancement module;

[0068] The data screening module includes a data screening unit and a data recording unit;

[0069] The data screening unit is used to collect substation parameters through the data acquisition instrument. The substation parameters include electrical parameters, equipment status parameters and environmental information parameters, and perform data screening. The screening method is as follows:

[0070] Step 1: Set at least one of electrical, equipment status and environmental information as the primary screening condition, and at least one of value, date, attribute and equipment location information as the secondary screening condition, and substitute them into the data screening formula. The formula is as follows:

[0071]

[0072] Among them, q is the set primary screening condition, d is the data document in the screening information, and F i (d,q) is the similarity value of the i-th data in the screening data set d in the screening condition q, F t (t i ,d) is the secondary screening condition t i Similar values ​​appearing in the screening data set d, V is the number of data to be screened selected according to the pre-screening conditions and the secondary screening conditions, N is a part of the cleaned data to be screened as the data screening number, n t The total number of data filters in the cleaned data filtering information;

[0073] Step 2: If F i (d,q) and F t (t i ,d) Calculate the difference between them. If the difference is equal to 0, it means the data is valid. If the difference is not equal to 0, it means the data is invalid.

[0074] The data recording unit is used to record the substation parameters with valid data in real time through the data recorder.

[0075] The arrangement and classification module includes a parameter arrangement unit and a parameter classification unit;

[0076] The parameter arrangement unit is used to arrange the substation parameters after data screening in order from small to large by Arabic numeral arrangement method;

[0077] The parameter classification unit is used to classify the substation parameters after data screening according to data attributes. The categories include electrical parameters, equipment status parameters and environmental information parameters. The arranged and classified data are used to filter the data received during the construction of the substation logic model in real time, and the protection enhancement module is set to provide real-time protection for the substation received data when the real-time protection model is built, so as to reduce the false data that occurs in the construction of the substation logic model.

[0078] The protection enhancement module includes a data protection unit and a protection enhancement unit;

[0079] The data protection unit is used to perform data protection on the screened substation parameters through a hash algorithm;

[0080] The protection enhancement unit is used to calculate the data protection enhancement value of the substation parameters after data screening. The calculation formula is as follows:

[0081]

[0082] Where L represents the data protection enhancement value of the substation parameter, d,s represents the data of the sth substation parameter; x d,s represents the primary coefficient of the sth substation parameter, y d,s represents the quadratic coefficient of the sth substation parameter, σ(x d,s ) represents the first standard deviation of the sth substation parameter, σ(y d,s ) represents the quadratic standard deviation of the s-th substation parameter, Pj(d,s) represents the probability of occurrence of the s-th substation parameter, N s It indicates the number of occurrences of the sth substation parameter. According to the calculated data protection enhancement value, data protection is performed on the substation parameters in real time to prevent the data received when the substation logic model is constructed from being illegally obtained or tampered with during transmission, avoid threats to the safe operation of the substation during model construction, and increase the safety and reliability of substation logic model construction.

[0083] Embodiment 2

[0084] Please refer to Figure 3 As shown: Based on the first embodiment, the model prediction end includes a data receiving module, a model tracking module, a model prediction module and a prediction correction module;

[0085] The data receiving module is used to receive the substation parameters enhanced by the data in real time through the data receiver;

[0086] The model tracking module is used to track the substation parameters after data enhancement in real time according to the data tracker.

[0087] The model prediction module is used to predict whether the construction of the substation logic model is abnormal based on the substation parameters. The prediction method is as follows:

[0088] Set standard environment information parameters, calculate the difference between the substation environment parameters detected at the current moment and the standard environment information parameters. If the difference is less than or equal to 0.5 or greater than or equal to -0.5, it means that the substation logic model is constructed normally. If the difference is greater than 0.5 or less than -0.5, it means that the substation logic model is constructed abnormally. By real-time tracking the substation logic model construction process and predicting in real time whether the substation logic model construction is abnormal based on the substation parameters tracked at the current moment, it is possible to predict in advance whether the substation logic model construction is feasible when constructing the substation logic model;

[0089] The prediction correction module includes an abnormal correction unit and a correction tracking unit;

[0090] The abnormal correction unit is used to correct the substation environmental parameters in real time according to the difference, specifically: if the difference is a positive number, the corresponding substation environmental parameter value is reduced; if the difference is a negative number, the corresponding substation environmental parameter value is increased;

[0091] The correction tracking unit is used to track in real time through the data tracker whether the corrected substation environmental parameters are valid, and to calculate the difference between the substation environmental parameters before and after correction. If the difference is equal to 0, it means that the correction is invalid. If the difference is not equal to 0, it means that the correction is valid. It warns in advance whether the substation logic model is abnormal, so that fault diagnosis or abnormal status can be solved in advance when the substation logic model is constructed, and further predict whether the substation logic model meets future development needs, to ensure timely judgment on the feasibility of substation logic model construction.

[0092] Embodiment 3

[0093] Please refer to Figure 4 As shown: Based on the first embodiment, the data integration end includes a parameter receiving unit and a multi-parameter recording unit;

[0094] The parameter receiving unit is used to receive the electrical parameters, equipment status parameters and environmental information parameters of the substation in real time during the construction of the substation logic model through a data receiver;

[0095] The multi-parameter recording unit is used to record the electrical parameters, equipment status parameters and environmental information parameters of the substation in real time through a data recorder, and to arrange the electrical parameters, equipment status parameters and environmental information parameters in sequence from small to large using the Arabic numeral sorting method, and to generate a substation logic model based on the electrical parameters, equipment status parameters and environmental information parameters after the sequence arrangement.

[0096] The comparison and tracking module includes a serial number comparison unit and a serial number tracking unit;

[0097] The serial number comparison unit is used to collect the electrical parameters, equipment status parameters and environmental information parameters of the substation at the current moment in real time through the data acquisition instrument, and calculate the difference between the serial numbers of the electrical parameters, equipment status parameters and environmental information parameters of the substation at the current moment and the serial numbers of the electrical parameters, equipment status parameters and environmental information parameters in the substation logic model. If the difference is equal to 0, it means that the data is normal, and if the difference is not equal to 0, it means that the data is abnormal;

[0098] The serial number tracking unit is used to track the serial number comparison results in real time through the data tracker, and report the system to issue a voice alarm when the data is abnormal. It collects the substation parameters at the current moment in real time. The substation parameters include electrical parameters, equipment status parameters and environmental information parameters, and compares the substation parameters with the serial number to determine data abnormalities, and then heterogeneously integrates and optimizes the data.

[0099] The integration optimization module includes a heterogeneous integration unit, an integration optimization unit, and a model generation unit;

[0100] The heterogeneous integration unit is used to calculate the similar values ​​of heterogeneous data from different data sources of electrical parameters, equipment status parameters and environmental information parameters of the substation using the autocorrelation algorithm. The calculation formula is as follows:

[0101]

[0102] Among them, S represents the similarity value of heterogeneous data from two different data sources, x i and x represent the parameter values ​​of two different data sources, n is the number of calculations, and B is the similarity adjustment coefficient, which ranges from 10 to 20;

[0103] The integrated optimization unit is used to map and match similar values ​​of heterogeneous data from two different data sources. The calculation formula is as follows:

[0104]

[0105] Among them, sim(d j ,d k ) represents the mapping matching optimization value of two different data sources, d j is the heterogeneous data matrix of the substation logical target, d k is the substation logical feature space group, and according to the mapping matching optimization value, the mapping matching optimization value sim(d j ,d k )The substation logic feature space group corresponding to the smallest value is used as the feature space corresponding to the substation logic target to complete the integration optimization between different heterogeneous data;

[0106] The model generation unit is used to construct the final substation logic model by integrating the optimization results. It can integrate and optimize multiple heterogeneous data to obtain the substation logic model, further ensure the accuracy of the substation logic model construction, and reduce the difficulty of data integration when constructing the substation logic model.

[0107] In the present invention, a method and system for constructing a substation logic model based on digital twins are provided. When the system is in operation, it first enters the model tracking end, collects substation parameters, and screens the substation parameters in real time when constructing the substation logic model, and sets the protection enhancement module to provide real-time protection for the substation received data during the real-time protection model construction. By collecting the substation parameters and performing serial number arrangement and classification, the arranged and classified data are screened in real time for the data received during the substation logic model construction process, and the protection enhancement module is set to provide real-time protection for the substation received data during the real-time protection model construction, thereby reducing false data appearing in the construction of the substation logic model, preventing the data received during the construction of the substation logic model from being illegally obtained or tampered with during transmission, avoiding threats to the safe operation of the substation during model construction, and increasing the safety and reliability of the substation logic model construction. The model prediction end is entered, and the construction process of the substation logic model is tracked in real time. Whether the construction of the substation logic model is abnormal is predicted in real time according to the substation parameters tracked at the current moment, and its feasibility is predicted. The substation parameters are used to predict in real time whether the construction of the substation logic model is abnormal, so that when the substation logic model is constructed, it can be predicted in advance whether the construction of the substation logic model is feasible, and early warning whether the substation logic model is abnormal, so that when the substation logic model is constructed, fault diagnosis or abnormal status can be solved in advance, and further prediction is made whether the substation logic model meets future development needs, so as to ensure the timely judgment of the feasibility of substation logic model construction; enter the data integration end, receive the substation parameters after data processing in real time, and arrange and classify the serial numbers, and perform heterogeneous integration and optimization of the arranged and classified data in real time to obtain the substation logic model, by real-time collection of the substation parameters at the current moment, the substation parameters include electrical parameters, equipment status parameters and environmental information parameters, and the substation parameters are compared by serial number to determine data abnormalities, and then the data is heterogeneously integrated and optimized, so as to obtain a more accurate substation logic model, so that when the substation logic model is constructed, a variety of heterogeneous data can be integrated and optimized to obtain the substation logic model, further ensuring the accuracy of the substation logic model construction and reducing the difficulty of data integration when the substation logic model is constructed.

[0108] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A substation logic model construction system based on digital twin, characterized in that: The system includes a model prediction end, a model tracking end and a data integration end; The model tracking terminal is used to collect substation parameters, arrange and classify them in sequence, filter the arranged and classified data in real time to construct the substation parameters when the substation logic model is constructed, and set the real-time protection of the substation receiving data when the protection enhancement module real-time protection model is constructed; The model prediction end is used to track the construction process of the substation logic model in real time, predict whether the construction of the substation logic model is abnormal in real time according to the substation parameters tracked at the current moment, and determine whether the construction of the substation logic model is feasible; The data integration terminal is used to receive data enhancement parameters in real time, perform sequence number comparison to determine data anomalies, and perform heterogeneous integration and optimization of valid data in real time to obtain a substation logic model.

2. The system according to claim 1, characterized in that: The model tracking end includes a data screening module, a model corresponding module and a protection enhancement module; The data screening module includes a data screening unit and a data recording unit; The data screening unit is used to collect substation parameters through a data acquisition instrument. The substation parameters include electrical parameters, equipment status parameters and environmental information parameters, and perform data screening. The screening method is as follows: Step 1: Set at least one of electrical, equipment status and environmental information as the primary screening condition, and at least one of value, date, attribute and equipment location information as the secondary screening condition, and substitute them into the data screening formula. The formula is as follows: Among them, q is the set primary screening condition, d is the data document in the screening information, and F i (d,q) is the similarity value of the i-th data in the screening data set d under the screening condition q, F t (t i ,d) is the secondary screening condition t i Similar values ​​appearing in the screening data set d, V is the number of data to be screened selected according to the pre-screening conditions and the secondary screening conditions, N is a part of the cleaned data to be screened as the data screening number, n t The total number of data filters in the cleaned data filtering information; Step 2: If F i (d,q) and F t (t i ,d) Calculate the difference between them. If the difference is equal to 0, it means the data is valid. If the difference is not equal to 0, it means the data is invalid. The data recording unit is used to record the substation parameters with valid data in real time through a data recorder.

3. The system according to claim 2, characterized in that: The arrangement and classification module includes a parameter arrangement unit and a parameter classification unit; The parameter arrangement unit is used to arrange the substation parameters after data screening in order from small to large by Arabic numeral arrangement method; The parameter classification unit is used to classify the substation parameters after data screening according to data attributes, and the categories include electrical parameters, equipment status parameters and environmental information parameters.

4. The system according to claim 3, characterized in that: The protection enhancement module includes a data protection unit and a protection enhancement unit; The data protection unit is used to perform data protection on the screened substation parameters through a hash algorithm; The protection enhancement unit is used to calculate the data protection enhancement value of the substation parameter after data screening, and the calculation formula is as follows: Where L represents the data protection enhancement value of the substation parameter, d,s represents the data of the sth substation parameter; x d,s represents the primary coefficient of the sth substation parameter, y d,s represents the quadratic coefficient of the sth substation parameter, σ(x d,s ) represents the first standard deviation of the sth substation parameter, σ(y d,s ) represents the quadratic standard deviation of the s-th substation parameter, Pj(d,s) represents the probability of occurrence of the s-th substation parameter, N s It indicates the number of occurrences of the sth substation parameter. The substation parameter is protected in real time according to the calculated data protection enhancement value.

5. The system according to claim 1, characterized in that: The model prediction end includes a data receiving module, a model tracking module, a model prediction module and a prediction correction module; The data receiving module is used to receive the data-enhanced substation parameters in real time through a data receiver; The model tracking module is used to track the substation parameters after data enhancement in real time according to the data tracker.

6. The system according to claim 5, characterized in that: The model prediction module is used to predict whether the construction of the substation logic model is abnormal according to the substation parameters. The prediction method is as follows: Set the standard environment information parameters, calculate the difference between the substation environment parameters detected at the current moment and the standard environment information parameters. If the difference is less than or equal to 0.5 or greater than or equal to -0.5, it means that the substation logic model is constructed normally. If the difference is greater than 0.5 or less than -0.5, it means that the substation logic model is constructed abnormally. The prediction correction module includes an abnormality correction unit and a correction tracking unit; The abnormal correction unit is used to correct the substation environmental parameters in real time according to the difference, specifically: if the difference is a positive number, the corresponding substation environmental parameter value is reduced, and if the difference is a negative number, the corresponding substation environmental parameter value is increased; The correction tracking unit is used to track in real time through a data tracker whether the corrected substation environmental parameters are valid, and to calculate the difference between the substation environmental parameters before correction and the substation environmental parameters after correction. If the difference is equal to 0, it indicates that the correction is invalid, and if the difference is not equal to 0, it indicates that the correction is valid.

7. The system according to claim 1, characterized in that: The data integration end includes a parameter receiving unit and a multi-parameter recording unit; The parameter receiving unit is used to receive in real time the electrical parameters, equipment status parameters and environmental information parameters of the substation during the construction of the substation logic model through a data receiver; The multi-parameter recording unit is used to record the electrical parameters, equipment status parameters and environmental information parameters of the substation in real time through a data recorder, and to arrange the electrical parameters, equipment status parameters and environmental information parameters in sequence from small to large using Arabic numeral sorting, and to generate a substation logic model based on the electrical parameters, equipment status parameters and environmental information parameters after the sequence arrangement.

8. The system according to claim 7, characterized in that: The comparison and tracking module includes a sequence number comparison unit and a sequence number tracking unit; The serial number comparison unit is used to collect the electrical parameters, equipment status parameters and environmental information parameters of the substation at the current moment in real time through the data acquisition instrument, and perform difference calculation between the serial numbers of the electrical parameters, equipment status parameters and environmental information parameters of the substation at the current moment and the serial numbers of the electrical parameters, equipment status parameters and environmental information parameters in the substation logic model. If the difference is equal to 0, it indicates that the data is normal, and if the difference is not equal to 0, it indicates that the data is abnormal; The serial number tracking unit is used to track the serial number comparison results in real time through a data tracker, and report to the system to issue a voice alarm when the data is abnormal.

9. The system according to claim 8, characterized in that: The integration optimization module includes a heterogeneous integration unit, an integration optimization unit and a model generation unit; The heterogeneous integration unit is used to calculate similar values ​​of heterogeneous data from different data sources of electrical parameters, equipment status parameters and environmental information parameters of the substation using an autocorrelation algorithm. The calculation formula is as follows: Among them, S represents the similarity value of heterogeneous data from two different data sources, x i and x represent the parameter values ​​of two different data sources, n is the number of calculations, and B is the similarity adjustment coefficient, which ranges from 10 to 20; The integration optimization unit is used to map and match similar values ​​of heterogeneous data from two different data sources, and the calculation formula is as follows: Among them, sim(d j ,d k ) represents the mapping matching optimization value of two different data sources, d j is the heterogeneous data matrix of the substation logical target, d k is the substation logical feature space group, and according to the mapping matching optimization value, the mapping matching optimization value sim(d j ,d k )The substation logic feature space group corresponding to the smallest value is used as the feature space corresponding to the substation logic target to complete the integration optimization between different heterogeneous data; The model generation unit is used to construct a final logic model of the substation by integrating optimization results.

10. A method for constructing a substation logic model based on digital twins, referring to a system for constructing a substation logic model based on digital twins as described in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Enter the model tracking terminal, collect substation parameters, and arrange and classify them in sequence. The arranged and classified data are filtered in real time to construct the substation parameters when the substation logic model is constructed, and the protection enhancement module is set to protect the substation receiving data in real time when the real-time protection model is constructed; Step 2: Enter the model prediction end, track the substation logic model construction process in real time, and predict in real time whether the substation logic model construction is abnormal based on the substation parameters tracked at the current moment, and predict its feasibility; Step 3: Enter the data integration terminal, receive the substation parameters after data processing in real time, compare the substation parameters by serial number to determine data anomalies, and then perform heterogeneous integration and optimization on the data in real time to obtain the substation logic model.

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