Configuration change verification method and system based on IED virtual connection

Abstract

The invention relates to the technical field of intelligent substations, and relates to a configuration change verification method and system based on IED virtual connection, and the method comprises the steps: collecting the configuration data of the IED virtual connection at the historical moment, and the configuration data at the historical moment comprises the configuration data transmitted for many times in the historical time period; classifying the configuration data according to the average error rate and the average error data length of each data item in the configuration data; for each type of data items, calculating the segmentation weight of each data item in the type of data items; segmenting the data to be verified according to the segmentation weight of each data item, and verifying each segment of data; for a certain item of data, the larger the segmentation weight is, the shorter the data segment corresponding to the item of data after segmentation is. By adopting the method provided by the invention to verify the configuration of the virtual connection of the IED equipment, the verification efficiency can be improved on the basis of guaranteeing the verification precision.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent substations, and more specifically, to a configuration change verification method and system based on virtual connection of IED equipment. Background Art

[0002] like Figure 1 As shown, in order to transmit the electric energy generated by the power plant to users over long distances, it is usually necessary to set up a substation in the power system to convert the voltage, transmit the electric energy over long distances through the power grid, and convert the voltage of the electric energy again after transmitting it to the user end for user use. In today's era, in order to make the substation more stable, reliable and efficient, and save the manpower cost of the substation, the traditional substation is gradually being replaced by smart substations, and various IED devices are usually installed in smart substations. In order to ensure the normal operation of each IED device, it is necessary to verify the virtual connection configuration changes of the IED (intelligent electronic device) device.

[0003] In the current power industry and smart grid construction, the virtual connection configuration change verification method of IED (intelligent electronic device) equipment is undergoing continuous evolution and improvement to adapt to increasingly complex system requirements and technological development. In the process of network transmission and data exchange, data errors often occur. In order to ensure the accuracy of data transmission, data verification is required before and after transmission. CRC verification is usually used to verify data.

[0004] Since the amount of data to be verified is too large, the data is usually processed in segments first. In the prior art, when verifying the configuration of the virtual terminal of the IED device through the CRC check code, the data to be verified is first obtained, then the data to be verified is evenly divided into multiple segments, and finally each segment of the data is CRC checked.

[0005] However, in the process of data segmentation, since the data to be verified is evenly divided into multiple segments, the data segment length may be too large or too small. If the data segment length is too large, too much data will need to be checked after an error occurs in the data, increasing the error cost, while if the data segment length is too small, too many data checks will occur, resulting in low data verification efficiency. Summary of the invention

[0006] In order to solve the technical problems in the prior art of excessive data to be checked after data errors occur and low data verification efficiency when verifying virtual connection configuration information of a device, the present invention provides solutions in the following aspects.

[0007] In a first aspect, the present invention provides a configuration change verification method based on a virtual connection of an IED device, comprising: Collecting configuration data of the virtual connection of the IED device at historical moments, wherein the configuration data at historical moments includes configuration data transmitted multiple times in a historical time period; and classifying the configuration data according to the average error rate and average error data length of each data item in the configuration data; For each type of data item, calculate the segment weight of each data item in this type of data item, and the calculation expression is: ; In the formula, Indicates Class data item The segment weights of the data items, Indicates the preset segment length, Indicates The average error probability of all items in the class data item, Represents the average error probability of all item data in all class data, Indicates Class data item The error probability of each data item; The data to be verified is segmented according to the segmentation weight of each data item, and each segment of data is verified separately; for a certain data item, the larger its segmentation weight is, the shorter the data segment corresponding to the data item after segmentation.

[0008] The beneficial effects of the present invention are as follows: the configuration change verification method based on the virtual connection of the IED device of the present invention, when verifying the configuration of the virtual connection of the IED device, first classifies the configuration data according to the average error rate and the average error data length, and classifies the data with similar average error rate and average error data length into one category; when calculating the segment weight of each data item, the error possibility of the data item category to which the data item belongs in all data item categories is comprehensively considered, and the error possibility of the data item in the data item category to which the data item belongs is also considered; the calculated segment weight is made proportional to the error possibility of the data item category to which the data item belongs and the error possibility of the data item, thereby ensuring that the calculated segment weight is more accurate and objective; for a data item with a larger segment weight, its error possibility is greater, and its corresponding segment length is shorter, thereby achieving a higher frequency of verification for data items with a greater error possibility, and a lower frequency of verification for data items with a smaller error possibility, thereby improving the verification efficiency on the basis of ensuring the verification accuracy.

[0009] Preferably, segmenting the data to be verified according to the segment weight of each data item includes: Starting from the first data in the data to be verified, obtain the data item where each data is located, and use the segment weight of the data item where each data is located as the segment weight of the corresponding data; The first data in the data to be verified is taken as the starting data, and the segment weights of the subsequent data are accumulated in sequence starting from the starting data; In response to the accumulated value being greater than or equal to 1, the accumulation is stopped and the data between the data and the last accumulated data is divided into a data segment; the last accumulated data is used as new starting data, and accumulation is performed again to obtain the next data segment.

[0010] The effect is that the data segmentation method of the present invention can quickly segment the data to be verified according to the segmentation weights corresponding to each data, and make the sum of the segmentation weights of each data in each segment of data close to 1. After segmentation, for data items with large segmentation weights, the corresponding data segments are shorter, and for data items with small segmentation weights, the corresponding data segments are longer.

[0011] For the jth item of data, the calculation expression for the possibility of error is: ; In the formula, Indicates The possibility of error in the data item, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

[0012] The effect is that when the calculation expression of the present invention is used to calculate the error probability of a data item, the error probability of the data item is measured based on the ratio of the sum of the data segment lengths corresponding to each data error in the same data transmission to the total data segment length of the data item. In addition, when measuring the error probability of the data item based on the ratio, the size of the ratio corresponding to multiple transmissions is comprehensively considered, so that the error probability of the data item can be calculated more accurately.

[0013] For the jth item of data, the calculation expression for the possibility of error is: ; In the formula, Indicates The possibility of error in the data item, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

[0014] The effect is that when the calculation expression of the present invention is used to calculate the error possibility of a data item, not only the ratio of the length of the erroneous data segment corresponding to each data transmission to the total data segment length of the data item is taken into account, but also the changes in the configuration data of the virtual connection during different data transmissions are taken into account, and a higher influence weight is given to the ratio corresponding to the data with a later transmission order, and a lower influence weight is given to the ratio corresponding to the data with an earlier transmission order, thereby making the calculation result of the error possibility of the data item more accurate.

[0015] For the j-th data, the calculation expression of its average error rate is: ; In the formula, represents the average error rate of the j-th data, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

[0016] The effect is that when calculating the error rate of a data item, the error rate of the data item during the data transmission process is measured according to the ratio of the sum of the data segment lengths corresponding to each data error in the same data transmission to the total data segment length of the data item, and the average of the error rates of the data item during each data transmission process is taken as the average error rate of the data item, so as to more accurately calculate the average error rate of the data item.

[0017] For the j-th data, the method for obtaining the average length of the erroneous data includes: The data length of the j-th item of erroneous data in each transmission of the configuration data is calculated respectively, and the average is calculated to obtain the average erroneous data length; for the configuration data of a certain transmission, the data length of the j-th item of erroneous data is equal to the sum of the lengths corresponding to the erroneous data of each transmission of the data.

[0018] Classifying the configuration data according to the average error rate and average error data length of each data item in the configuration data includes: forming a feature vector from the average error data length and the average error rate of each data item, and performing KMeans clustering on all data items according to the feature vector of each data item.

[0019] The configuration data at the historical moment includes: device identification name, device type configuration, device IP address, subnet mask and gateway, virtual connection ID, source and target nodes of data transmission, data object model, data type definition and sampling frequency.

[0020] The preset segment length is 100.

[0021] In a second aspect, the present invention provides a configuration change verification system based on virtual connection of IED devices, comprising a memory and a processor, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the configuration change verification method based on virtual connection of IED devices of the present invention is implemented.

[0022] In summary, the beneficial effect of the present invention is that the configuration change verification method based on the virtual connection of the IED device of the present invention can greatly improve the verification efficiency on the basis of ensuring the verification accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein: Figure 1 is a schematic diagram schematically showing the structure of a power system in the prior art; Figure 2 is a flow chart schematically showing a configuration change verification method based on IED device virtual connection according to an embodiment of the present invention; Figure 3 is a data sequence diagram schematically illustrating a certain data item according to an embodiment of the present invention; Figure 4 The figure schematically shows the structure of a configuration change verification system based on virtual connection of IED devices according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0025] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0026] Configuration change verification method embodiment based on IED device virtual connection: like Figure 2 As shown, the configuration change verification method based on the virtual connection of the IED device of the present invention includes: S101, collecting and classifying configuration data at historical moments, specifically: collecting configuration data at historical moments of virtual connection of IED devices, wherein the configuration data at historical moments includes configuration data transmitted multiple times in historical time periods; and classifying the configuration data according to the average error rate and average error data length of each data item in the configuration data; In this embodiment, the configuration data of the historical moment of the virtual connection of the IED device includes: device identification name, device type configuration, device IP address, subnet mask and gateway, virtual connection ID, source and target nodes of data transmission, data object model, data type definition and sampling frequency. In other embodiments, the historical configuration data may also include other types of data items.

[0027] After the configuration data is classified, data items with similar average error rates and average error data lengths are classified into the same category. There are many classification methods. For example, the average error rate numerical interval and the average error data length numerical interval corresponding to each category can be set respectively. For a certain data, if its average error rate and average error data length fall within the average error rate numerical interval and the average error data length numerical interval corresponding to a category, the data is classified into the corresponding category. For another example: a feature vector can be constructed based on the average error rate and average error data length of each data item, and a clustering algorithm can be used to classify the configuration data.

[0028] S102, calculating the segment weight of each data item, specifically: for each type of data item, calculating the segment weight of each data item in the type of data item, the calculation expression is: ; In the formula, Indicates Class data item The segment weights of the data items, Indicates the preset segment length, Indicates The average error probability of all data items in the class data item, Represents the average error probability of all data items in all classes of data, Indicates Class data item The error probability of each data item. Part of the The ratio of the average error probability of all data items in the class data item to the average error probability of all data items in all class data. The larger the ratio, the greater the error probability of this class of data. In this case, a shorter data segment should be verified for this type of data to increase the verification frequency of this type of data. By adding 1 to the numerator and denominator respectively, the situation where they are 0 is avoided. The difference between the error probability of each data item and the average error probability of its class is weakened in part by cubic calculation, and the numerator and denominator are increased by 1 to avoid the situation of zero.

[0029] When the expression is used to calculate the segmentation weight of a data item in a certain category of data items, the greater the average error probability of all data items in the data item category to which the data item belongs, the greater the calculated segmentation weight; in the data item category, the greater the error probability of the data item, the greater the calculated segmentation weight; when calculating the segmentation weight of the data item, not only the error probability of the data item in all data item categories is taken into account, but also the error probability of the data item in the data item category is taken into account; the calculated segmentation weight is directly proportional to the error probability of the data item category to which the data item belongs and the error probability of the data item, thereby ensuring that the calculated segmentation weight is more accurate and objective.

[0030] In this embodiment, the preset segment length is 100. In other embodiments, the preset segment length may also be other appropriate lengths.

[0031] S103, segmenting and verifying the data to be verified, specifically: segmenting the data to be verified according to the segmentation weight of each data item, and verifying each segment of the data respectively; for a certain data item, the greater its segmentation weight is, the shorter the data segment corresponding to the data item after segmentation.

[0032] Since the total length of each data item is constant, the shorter the data segment corresponding to the data item after segmentation, the more data segments corresponding to the data item will be, and the data item will be checked more frequently. By making the segmentation weight larger, the data segment corresponding to the data item after segmentation is shorter, and the data item with a high possibility of error can be checked more frequently, and the data item with a low possibility of error can be checked less frequently, thereby greatly improving the verification efficiency while ensuring the accuracy of the verification.

[0033] The configuration change verification method based on the virtual connection of the IED device of the present invention, when verifying the configuration of the virtual connection of the IED device, first classifies the configuration data according to the average error rate and the average error data length, and classifies the data with similar average error rate and average error data length into one category; when calculating the segment weight of each data item, the error possibility of the data item category to which the data item belongs in all data item categories is comprehensively considered, and the error possibility of the data item in the data item category to which the data item belongs is also considered; the calculated segment weight is made proportional to the error possibility of the data item category to which the data item belongs and the error possibility of the data item, thereby ensuring that the calculated segment weight is more accurate and objective; for a data item with a larger segment weight, its error possibility is greater and its corresponding segment length is shorter, thereby achieving a higher frequency of verification for the data item with a greater error possibility and a lower frequency of verification for the data item with a smaller error possibility, thereby improving the verification efficiency on the basis of ensuring the verification accuracy.

[0034] In one embodiment, segmenting the data to be checked according to the segment weight of each data item includes: S201, starting from the first data in the data to be verified, obtaining the data item where each data is located, and using the segment weight of the data item where each data is located as the segment weight of the corresponding data; S202, taking the first data in the data to be verified as the starting data, and accumulating the segment weights of the subsequent data in sequence starting from the starting data; S203, in response to the accumulated value being greater than or equal to 1, stop accumulating and divide the data between the data and the last accumulated data into a data segment; take the last accumulated data as new starting data, and re-accumulate to obtain the next data segment.

[0035] When performing the last accumulation, if the accumulated value after accumulating the segment weights of the last few data to be verified is less than 1, these data are directly divided into one data segment.

[0036] The data segmentation method of this embodiment can quickly segment the data to be verified according to the segmentation weights corresponding to each data, and make the sum of the segmentation weights of each data in each segment close to 1. After segmentation, for data items with large segmentation weights, the corresponding data segments are shorter, and for data items with small segmentation weights, the corresponding data segments are longer.

[0037] In one embodiment, for the jth item of data, the calculation expression of its error probability is: ; In the formula, Indicates The possibility of error in the data item, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

[0038] Indicates The configuration data of the first transmission The ratio of the total length of the error data segment of the data item to the total length of the data item is used to measure the error rate of the data item in the collection process. The configuration data of the first transmission If several consecutive data in an item of data are all wrong, the several data are regarded as one data error. Figure 3 As shown, if the data sequence corresponding to a data item has seven data points, namely data point A, data point B, data point C, data point D, data point E, data point F, and data point G, and the data of data point A, data point C, data point D, and data point F are all erroneous, then it is considered that the data item has three errors.

[0039] When the calculation expression of this embodiment is used to calculate the error possibility of a data item, the error possibility of the data item is measured based on the ratio of the sum of the data segment lengths corresponding to each data error in the same data transmission to the total data segment length of the data item. In addition, when measuring the error possibility of the data item based on the ratio, the size of the ratio corresponding to multiple transmissions is comprehensively considered, so that the error possibility of the data item can be calculated more accurately.

[0040] In one embodiment, for the jth item of data, the calculation expression of its error probability is: ; In the formula, Indicates The possibility of error in the data item, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

[0041] In the formula Indicates the time series distance weight. Since the configuration data of the virtual connection changes during the data collection process, the more recently collected data has a higher reference significance, and the later collected data is given a higher influence weight.

[0042] When the calculation expression of this embodiment is used to calculate the error possibility of a data item, not only the ratio of the erroneous data segment length corresponding to each data transmission to the total data segment length of the data item is taken into account, but also the changes in the configuration data of the virtual connection during different data transmissions are taken into account. A higher influence weight is assigned to the ratio corresponding to data with a later transmission order, and a lower influence weight is assigned to the ratio corresponding to data with an earlier transmission order, thereby making the calculation result of the error possibility of the data item more accurate.

[0043] In one embodiment, for the j-th item of data, the calculation expression of its average error rate is: ; In the formula, represents the average error rate of the j-th data, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

[0044] In this embodiment, when calculating the error rate of a data item, the error rate of the data item during the data transmission process is measured based on the ratio of the sum of the data segment lengths corresponding to each data error in the same data transmission to the total data segment length of the data item, and the average of the error rates of the data item during each data transmission process is taken as the average error rate of the data item, so as to more accurately calculate the average error rate of the data item.

[0045] In one embodiment, for the j-th item of data, a method for obtaining its average erroneous data length includes: calculating the erroneous data length of the j-th item of data in each transmission of the configuration data, and averaging them to obtain the average erroneous data length; for the configuration data transmitted a certain time, the erroneous data length of the j-th item of data is equal to the sum of the lengths corresponding to the erroneous data of each transmission of the data.

[0046] In one embodiment, classifying the configuration data according to the average error rate and average error data length of each data item in the configuration data includes: forming a feature vector with the average error data length and the average error rate of each data item, and performing KMeans clustering on all data items according to the feature vector of each data item.

[0047] Configuration change verification system implementation based on IED device virtual connection: The present invention also provides a configuration change verification system based on virtual connection of IED devices. Figure 4 As shown, the configuration change verification system based on virtual connection of IED equipment includes a processor and a memory, wherein the memory stores computer program instructions. When the computer program instructions are executed by the processor, the configuration change verification method based on virtual connection of IED equipment in the above embodiment is implemented.

[0048] The configuration change verification system based on virtual connection of IED devices also includes other components well known to those skilled in the art, such as a communication bus and a communication interface, whose settings and functions are known in the art and will not be described in detail here.

[0049] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory, an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of a device or accessible or connectable to a device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that may be stored or otherwise maintained by such a computer-readable medium.

[0050] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0051] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

Claims

1. A configuration change verification method based on virtual connection of IED equipment, characterized in that: include: Collecting configuration data of the virtual connection of the IED device at a historical moment, wherein the configuration data at the historical moment includes configuration data transmitted multiple times in a historical time period; and classifying the configuration data according to an average error rate and an average error data length of each data item in the configuration data; For each type of data item, calculate the segment weight of each data item in this type of data item, and the calculation expression is: ; In the formula, Indicates Class data item The segment weights of the data items, Indicates the preset segment length, Indicates The average error probability of all items in the class data item, Represents the average error probability of all item data in all class data, Indicates Class data item The probability of error for each data item; The data to be verified is segmented according to the segmentation weight of each data item, and each segment of data is verified separately; for a certain data item, the larger its segmentation weight is, the shorter the data segment corresponding to the data item after segmentation.

2. The configuration change verification method based on virtual connection of IED equipment according to claim 1, characterized in that: Segmenting the data to be verified according to the segment weight of each data item includes: Starting from the first data in the data to be verified, obtain the data item where each data is located, and use the segment weight of the data item where each data is located as the segment weight of the corresponding data; The first data in the data to be verified is taken as the starting data, and the segment weights of the subsequent data are accumulated in sequence starting from the starting data; In response to the accumulated value being greater than or equal to 1, the accumulation is stopped and the data between the data and the last accumulated data is divided into a data segment; the last accumulated data is used as new starting data, and accumulation is performed again to obtain the next data segment.

3. The configuration change verification method based on virtual connection of IED equipment according to claim 1, characterized in that: For the jth item of data, the calculation expression for the possibility of error is: ； In the formula, Indicates The possibility of error in the data item, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

4. The configuration change verification method based on virtual connection of IED equipment according to claim 1, characterized in that: For the jth item of data, the calculation expression for the possibility of error is: ； In the formula, Indicates The possibility of error in the data item, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

5. The configuration change verification method based on virtual connection of IED equipment according to claim 1, characterized in that: For the j-th data, the calculation expression of its average error rate is: ； In the formula, represents the average error rate of the j-th data, Indicates the total number of data transmissions corresponding to the configuration data at the historical moment, Indicates The configuration data of the first transmission The number of times the item data is wrong, Indicates The configuration data of the first transmission The first The data length of the data error. Indicates The configuration data of the first transmission The total length of the item data.

6. The configuration change verification method based on virtual connection of IED equipment according to claim 1, characterized in that: For the j-th data, the method for obtaining the average length of the erroneous data includes: The data length of the j-th item of erroneous data in each transmission of the configuration data is calculated respectively, and the average is calculated to obtain the average erroneous data length; for the configuration data of a certain transmission, the data length of the j-th item of erroneous data is equal to the sum of the lengths corresponding to the erroneous data of each transmission of the data.

7. The configuration change verification method based on virtual connection of IED equipment according to claim 1, characterized in that: Classifying the configuration data according to the average error rate and average error data length of each data item in the configuration data includes: forming a feature vector from the average error data length and the average error rate of each data item, and performing KMeans clustering on all data items according to the feature vector of each data item.

8. The configuration change verification method based on virtual connection of IED equipment according to claim 1, characterized in that: The configuration data at the historical moment includes: device identification name, device type configuration, device IP address, subnet mask and gateway, virtual connection ID, source and target nodes of data transmission, data object model, data type definition and sampling frequency.

9. The configuration change verification method based on virtual connection of IED equipment according to any one of claims 1 to 8, characterized in that: The preset segment length is 100.

10. A configuration change verification system based on virtual connection of IED equipment, comprising a memory and a processor, wherein the memory stores computer program instructions, characterized in that: When the computer program instructions are executed by the processor, the configuration change verification method based on the virtual connection of the IED device according to any one of claims 1 to 9 is implemented.

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